A Comprehensive Analysis of Bandwidth Request Mechanisms in IEEE Networks

Size: px
Start display at page:

Download "A Comprehensive Analysis of Bandwidth Request Mechanisms in IEEE 802.16 Networks"

Transcription

1 A Comrehensve Analyss of Bandwdth Reuest Mechansms n IEEE Networks Davd Chuck, Kuan-Yu Chen and J. Morrs Chang Deartment of Electrcal and Comuter Engneerng Iowa State Unversty, Ames, Iowa 500, USA Emal: {chuang, kychen, morrs}@astate.edu Abstract IEEE standard s consdered as one of the most romsng technologes. Bandwdth reservaton s emloyed to rovde ualty of servce (QoS guaranteeng servces. A reuest/grant scheme s defned n the IEEE standard. There are two tyes of bandwdth reuest (BR mechansms, uncast ollng and contenton resoluton, defned n the standard. As secfed, connectons belongng to schedulng classes of ertps, nrtps and BE have otons to make BRs va both mechansms deendng on the schedulng decson made by the base staton (BS. However, most research works only assume one of them s avalable and do not take both of them nto account. A comrehensve study of both mechansms s crtcal for the BS to make an arorate decson for those connectons to acheve better system erformance. To the best of our knowledge, ths s the frst attemt to analyze ths ssue. There are two major contrbutons resented n ths aer. Frst, a comrehensve study of both BR mechansms n terms of bandwdth utlzaton and delay s rovded. Addtonally, we roose two ractcal erformance objectves: when the exected delay or target bandwdth utlzaton s gven, how does the BS to make schedulng decson such that the erformance of the other metrc (ether delay or bandwdth utlzaton s otmzed? As our second contrbuton, we roosed two schedulng algorthms to fnd the combnaton of both mechansms to meet our objectves. The smulaton results show that our schedulng algorthms can always hel the BS make schedulng decson to reach better system erformance. I. INTRODUCTION The IEEE standards (e.g., [] are consdered as one of crtcal broadband wreless access (BWA technologes n the forth generaton (4G networks. The Worldwde Interoerablty for Mcrowave Access (WMAX, based on ths famly of standards, s desgned to facltate servces wth hgh transmsson rates for data and multmeda alcatons n metrooltan areas. The hyscal (PHY and medum access control (MAC layers of WMAX have been secfed n the IEEE standard. Many advanced communcaton technologes such as OFDM/OFDMA and MIMO are embraced n the standards. Suorted by these modern technologes, WMAX s able to rovde a large servce coverage, a hgh seed data rate and ualty of servce (QoS guaranteeng servces. Because of these features, WMAX s consdered to be a romsng alternatve for last mle BWA. In order to rovde the QoS guaranteeng servces, bandwdth reservaton s adoted n the WMAX network. A reuest/grant bandwdth allocaton s emloyed for reservng bandwdth. The subscrber staton (SS s reured to reserve the suffcent amount of bandwdth from the base staton (BS before any data transmssons. The amount of reserved bandwdth can be reserved or adjusted by the SS va sendng bandwdth reuests (BRs. There are two tye of bandwdth reuests secfed n the IEEE standard: uncast ollng and contenton resoluton. In uncast ollng, the BS allocates a small ece of bandwdth to the target SS. Ths small ece of bandwdth s on the to of reserved bandwdth and contans one or more transmsson oortuntes (TxOPs deendng on the schedulng olcy that the BS enforces. These TxOPs are called uncast ollng TxOPs n ths aer. The target SS can use these TxOPs to send BRs. Moreover, for smlcty, we assume that the uncast ollng TxOP s only used for transmttng a BR. Contenton resoluton, on the other hand, reures that each SS contends a TxOP ndeendently to transmt a BR. The BS schedules an amount of bandwdth, dvded nto several TxOPs, for a grou of SSs to send BRs. These TxOPs are called contenton TxOPs. If the attemt of contenton s faled, then the SS enters nto the back-off rocedure to reare next attemt untl reachng the maxmum number of attemts. Each tye of BR mechansms (.e. uncast ollng or contenton resoluton has ts own advantages and dsadvantages. In uncast ollng, the uncast ollng TxOPs are allocated exclusvely for the target SS. It guarantees that ths SS has oortuntes to make BRs successfully. Therefore, the delay of the SS to transmt a BR can be bounded wthn a certan range. However, because of the exclusve usage, the allocated uncast ollng TxOPs are wasted f the target SS does not make BRs. Ths may reduce the bandwdth utlzaton of the system. In contenton resoluton, on the other hand, the allocated bandwdth s shared by a grou of SSs. The SS contends wth each other n order to get a contenton TxOP for the BR. In the contenton resoluton, each SS contends for a contenton TxOP actvely. Therefore, the SS erforms the contenton rocedure only f the SS wants to transmt a BR. It may lead to hgher bandwdth utlzaton. However, Each SS cannot be guaranteed to have contenton TxOPs for sendng BRs. Thus, the delay to reuest bandwdth can not be ensured. Suort for QoS s a fundamental art of the IEEE MAC-layer desgn. When the servce data unt arrves n the IEEE MAC layer, the classfcaton rocess s erformed. The classfcaton rocess s the rocess whch mas the servce data unt to the arorate schedulng class based on the QoS constrants of the servce data unt. Authorzed lcensed use lmted to: Iowa State Unversty. Downloaded on March 02,200 at 7:25:07 EST from IEEE Xlore. Restrctons aly.

2 2 As secfed n the IEEE standard, only connectons belongng to three schedulng classes (.e. extended real tme ollng servce (ertps, non-real tme ollng servce (nrtps and best effort (BE are allowed to have otons to choose between uncast ollng and contenton resoluton for make BRs. Because of the features of each BR mechansm, A schedulng decson made by the BS for the connectons n these schedulng classes to transmt BRs may affect the overall bandwdth utlzaton and delay. For examle, uncast ollng may result low bandwdth utlzaton when the robablty of a SS to make a BR s low. Smlarly, the contenton resoluton may leads to a large number of collsons when the robablty that a SS makes BRs s hgh. The motvaton of ths research s how does the BS schedule those two tyes of BR mechansms to serve the SS whle mantanng good system erformance?. An arorate decson made by the BS s needed n order to acheve the desred erformance objectves. Thus, the mact of ths research s to hel the BS make schedulng decsons between two tyes of BR mechansm secfed n the standard n order to meet our erformance objectves. There are two roosed erformance objectves consdered n ths aer: Maxmzng the bandwdth utlzaton whle satsfyng the desred delay. 2 Mnmzng the delay whle mantanng the target bandwdth utlzaton. To acheve the erformance objectves resectvely, two schedulng algorthms are roosed n Secton V: M AX U (for the frst objectve and M IN D (for the second objectve. Many research works related to those two BRs mechansms are only focused on the otmzaton of one tye of BRs mechansms based on the assumton that only one tye of BR mechansms s avalable to be used. A comrehensve study consderng both mechansms s desred for the BS to schedule the connectons whch are allowed to send BRs va both mechansms. In ths aer, we rovde mathematcal analyss for both BR mechansms. Based on the analyss, we roosed two schedulng algorthms for erformance objectves to hel the BS make an arorate schedulng decson such that the system can have better erformance. The rest of aer s organzed as follows. An overvew of IEEE and the related work are rovded n Secton II and Secton III, resectvely. Our mathematcal analyss of both BRs mechansms s gven n Secton IV. In Secton V, we ntroduce the objectves and roosed schedulng algorthms. Secton VI resents the smulaton and Secton VII concludes our dscusson. II. OVERVIEW OF IEEE A IEEE network s comosed by a number of SSs and at least one BS. There are two oeratonal modes, ont-to-multont (PMP and mesh, defned n the IEEE standard. Ths aer s focused on the PMP mode whch defnes that transmssons are only allowed between the BS and SSs. All transmssons can be classfed nto downlnk (DL and ulnk (UL transmsson based on the drecton of transmssons. The DL transmsson s defned as the transmsson from the BS to a SS. Conversely, the UL transmsson s the transmsson n the ooste drecton. Accordng to the IEEE standard, the BS s resonsble for schedulng both UL and DL transmssons. All schedulng behavor s exressed n a MAC frame. The structure of a MAC frame defned n the IEEE standard can be dvded nto UL subframe and DL subframe. The UL subframe s for UL transmssons. Smlarly, the DL subframe s for DL transmssons. In a IEEE network, all SSs should be coordnated by the BS. All coordnatng nformaton ncludng burst rofles and offsets s resded n the DL and UL mas, whch are broadcasted at the begnnng of the MAC frame. The IEEE network s connecton-orented. It reures SSs to establsh connectons wth the BS before any data transmssons. In order to suort wde varety of alcatons, the IEEE standard classfes all traffcs nto fve schedulng classes based on the dfferent QoS reurements: Unsolcted Grant Servce (UGS, Real Tme Pollng Servce (rtps, Extended Real Tme Pollng Servce (ertps [?], Nonreal Tme Pollng Servce (nrtps and Best Effort (BE. The mechansm to make BRs for each schedulng class has been secfed n the IEEE standard. For examle, a fxed amount of bandwdth s gven to UGS connectons and BRs are rohbted to be made for ths tye of connectons. All connectons n other schedulng classes (.e. rtps, ertps, nrtps and BE are allowed to make BRs va uncast ollng oortuntes. However, ertps, nrtps and BE connectons are the only connectons whch are allowed to reuest bandwdth va contenton resoluton. The oeraton rocedure of uncast ollng defned n the IEEE standard s straght forward. The BS allocates an extra ece of bandwdth to the target SS. Ths extra ece of bandwdth can be consdered as one or more uncast ollng TxOPs. The target SS makes bandwdth reuests by utlzng these TxOPs. Snce these TxOPs are exclusvely allocated to ths artcular SS, t can ensure that ths SS has oortuntes to reuest bandwdth f needed. However, the drawback s that these TxOPs are wasted f ths SS does not make BRs. The contenton resoluton, on the other hand, s not TxOPsguaranteed. It means that the SS may not have oortuntes to transmt BRs due to the falures of contenton. The BS schedules a few contenton TxOPs for a grou of SSs. Each SS wthn ths grou s reured to contend for a contenton TxOP wth each other n order to transmt a BR. Note that each contenton TxOP can only carry one BR. If the SS fals n the contenton rocedure, t enters nto the back-off rocedure for rearng the next attemt. In ths aer, the bnary exonental back-off (BEB algorthm [] s emloyed as the back-off rocedure. The ntal back-off wndow sze and the maxmum back-off wndow sze are controlled by the BS and secfed n the UL ma. The value of contenton wndow sze s reresented as a ower-of-two value. For examle, a value of 4 ndcates that the contenton wndow sze s 6. The oeraton rocedure of contenton resoluton s summarzed as Fg.. When a SS tends to contend a TxOP, t selects a random number from 0 to W, where W s the current back-off wndow sze. Ths random number s called back-off counter and ndcates the number of contenton TxOPs that the SS shall defer before transmttng. The number of contenton Authorzed lcensed use lmted to: Iowa State Unversty. Downloaded on March 02,200 at 7:25:07 EST from IEEE Xlore. Restrctons aly.

3 3 Fg.. The oeraton of contenton resoluton TxOPs s determned by the BS and may be dfferent n each frame. If the back-off counter does not reach zero wthn a contenton erod. Its countdown should be frozen at the end of the contenton erod and resume at the begnnng of the next comng contenton erod. When the back-off counter reaches zero, the SS attemts to send a BR. It s ossble that there are more than one SS whch back-off counter reaches zero at the same tme. It means that there are more than one SSs tryng to send a BR n the same TxOP. In ths case, collson haens. Snce t s not ractcally ossble for SSs to sense the UL channel to detect a collson, the SS can only know the success of BR transmsson f t receves a resonse from the BS n the form of bandwdth grant wthn a fxed number of subseuent UL ma messages. If the SS fals to receves the resonse, t consders that the BR was not delvered successfully. The SS shall double ts back-off wndow sze f the current contenton wndow sze s smaller than the maxmum back-off wndow sze whch s controlled by the BS. The SS selects a fresh random number from 0 to W, where the W ndcates the new backoff wndow sze, and reeat the deferrng rocedure descrbed above. The SS can attemt to transmt BRs untl the maxmum number of retres s reached. III. RELATED WORK Many research works related to uncast ollng and contenton resoluton have been roosed n the lterature. In [3], an adatve ollng scheme for ON/OFF traffc was roosed to mrove the bandwdth utlzaton for uncast ollng. Durng ON erods, ollng ntervals are fxed and short, whle durng OFF erods ollng ntervals are lengthened exonentally. Therefore, adatve ollng reduces the sgnalng overhead wthout sgnfcantly comromsng delay erformance. A Markov chan model for uncast ollng s roosed n [4]. The authors roosed the Markov chan analyss whch ams to mnmze average ollng delay whle ncreasng network throughut. Based on the QoS reurements of each schedulng class, the rortes can be gven between schedulng classes. However, ths obtans reward only from hgh-class servces because the rorty does not dfferentate the rortes of nodes. Contenton resoluton has been dscussed not only n IEEE but also n IEEE A classc Markov Chan model to analyze contenton resoluton n IEEE 802. has been roosed n [7]. Because the bandwdth reservaton s emloyed n the IEEE standard, t s not ractcal for the SS n the IEEE network to sense the medum status. Instead, the SS n the IEEE network wats a fxed number of subseuent UL mas for recevng the resonse from the BS before enterng nto the back-off rocedure. By consderng ths dfference, a Markov model of contenton n the IEEE network s roosed n [6]. Ths model conssts of two tyes of states: back-off states and watng states. The former llustrate the contenton rocedure. The latter reresent the status that the SS wats for the resonse from the BS before enterng nto the back-off rocedure. The arameters that control the contenton resoluton n the IEEE network such as back-off start/end values have been nvestgated n [2]. Moreover, the connectons belongng to three tyes of schedulng classes (.e. ertps, nrtps and BE are able to jon the contenton resoluton. The connecton n each schedulng class has ts own QoS reurements. However, there are no rortes emloyed n the contenton resoluton snce the BS fxes the ntal and maxmum back-off wndow and each SS n the system uses the same value for all connectons. In order to dstngush the rortes between the connectons n dfferent schedulng classes, a modfed contenton resoluton rocess s roosed [8] to mrove the system erformance ncludng end-to-end delay and throughut by assgnng dfferent ntal wndow sze to the connecton n dfferent schedulng class. The research works summarzed above rovde the nvestgaton of ether uncast ollng or contenton resoluton. However, the connectons n the schedulng classes of ertps, nrtps and BE are allowed to use both bandwdth reuest mechansms (.e. uncast ollng and contenton resoluton. Unfortunately, none of the research works shown above take ths oton nto consderatons. Ther research s based on the assumton that only one bandwdth reuest mechansm s avalable. A research work consderng both BR mechansms s resented n [0]. The authors frst comare two bandwdth reuest mechansms secfed n the standard. Ther results demonstrate that the contenton resoluton outerforms uncast ollng when the robablty of makng bandwdth reuests rate s low. However, the authors do not rovde detaled analyss for each tye of bandwdth reuest mechansms. Moreover, the schedulng algorthms to hel the BS make schedulng decsons are desred. In ths aer, two major contrbutons are ncluded. Frst, a comrehensve study of both BR mechansms s rovded. We erform the erformance analyss of each bandwdth reuest mechansm n terms of bandwdth utlzaton and delay. Second, two erformance objectves are roosed. In order to acheve each of our roosed erformance objectves, two schedulng algorthms are roosed to reach them ndvdually. The smulaton results resented n Secton VI show that our schedulng algorthms can also have the better erformance Authorzed lcensed use lmted to: Iowa State Unversty. Downloaded on March 02,200 at 7:25:07 EST from IEEE Xlore. Restrctons aly.

4 4 whle the corresondng erformance objectves are satsfed. IV. ANALYTICAL MODELING In ths secton, we analyze the erformance of each BR mechansm n terms of the bandwdth utlzaton and the delay of delverng a BR. The network model used for analyzng both BR mechansms s comosed by a BS resdng at the center of geograhcal area and N SSs randomly dstrbuted n the servce coverage of the BS. Each SS serves one dentcal varable bt rate (VBR traffc, based on the traffc model ntroduced n [5], whch s classfed as a BE connecton wth the average robablty P r to transmt bandwdth reuests. Addtonally, we assume that each SS transmts at most one BR durng the exected delay. Ths assumton s reasonable snce there s no maxmum delay reurement n BE connectons and our objectve s to make that the average delay s no more than the exected delay. Although ggybackng defned n the IEEE standard s another way for SSs to transmt BRs, however, t s otonal and not able to carry all tyes of BRs. Conseuently, we do not consder ggybackng n ths aer. A. Uncast ollng We begn our analyss of uncast ollng by nvestgatng the mnmum average number of uncast ollng TxOPs allocated n each frame and the average delay of transmttng a BR. For ease of reference, a lst of mortant notatons are summarzed n Table I. Notaton N N M T P r U Descrton Total number of SSs Number of SSs wth uncast ollng TxOPs Number of frames er second The mnmum average number of uncast ollng TxOPs er frame The exected delay The robablty of each SS to send BR Bandwdth Utlzaton of uncast ollng TABLE I LIST OF NOTATIONS FOR UNICAST POLLING Assume N s the total number of SSs assgned wth uncast ollng TxOPs, where 0 N N. Snce t s not necessary to schedule an uncast ollng TxOP to each SS n every frame, we focus on the mnmum number of uncast ollng TxOPs whch should be scheduled er frame n order to acheve the exected delay. Assume that the robablty of the SS to make a BR s unformly dstrbuted between two consecutve uncast ollng TxOPs. In order to mantan the exected delay, denoted as T, the BS has to schedule at least one uncast ollng TxOP to the SS n every 2T. Conseuently, the mnmum average number of uncast ollng TxOPs assgned to each frame can be exressed as: M N 2T ( where M stands for the mnmum average number of uncast ollng TxOP scheduled n each frame. Because of the nature of uncast ollng, the uncast ollng TxOP s wasted f the assgned SS does not transmtted a BR. Therefore, the bandwdth utlzaton of uncast ollng s same as the robablty of a SS to transmtted a BR (.e. U = P r. B. Contenton Resoluton Notaton N N c T c P r S E W S W E R b(, r Descrton Total number of SSs Number of SSs wth contenton TxOPs The number of frames er second The mnmum average number of TxOPs for contenton resoluton er frame The target delay of contenton resoluton The robablty of a SS to send BR Back-off start value Back-off end value Probablty of a unsuccessful transmsson Intal back-off wndow sze Maxmum back-off wndow sze Maxmum number of retres Probablty of the BS to accet a BR A back-off state n -th attemt wth random back-off counter r w (, t A watng state n the branch of collson/ w 2 (, t non-collson n -th attemt and the SS has wated for t frames f τ the robablty of falures The robablty of a SS to transmt a BR n a randomly chosen TxOP T The exected delay before/ after the T 2 contenton wndow sze reaches the W E. T w The maxmum number of subseuent UL-MAP messages that a SS wats for a resonse from the BS TABLE II LIST OF NOTATIONS FOR CONTENTION RESOLUTION We analyze the contenton resoluton n IEEE network by usng a 2-D Markov Chan (MC model n Fg 2. As shown n the fgure, each SS attemts to transmt a BR untl the number of attemts reaches the maxmum retry lmt R. If the SS cannot transmt a BR successfully n R attemts, ths BR shall be dscarded. A lst of mortant notatons are summarzed n Table II. Accordng to the secfcaton of contenton resoluton rocedure descrbed n the IEEE standard, the SS shall select a random value wthn ts back-off wndow. Ths random number ndcates the number of contenton TxOPs that the SS shall defer before transmttng a BR. After the contenton transmsson, the SS has to wat for a fxed number of subseuent UL mas before enterng nto the back-off rocedure. Therefore, the contenton resoluton rocedure s classfed nto two lanes: back-off lane and watng lane. Authorzed lcensed use lmted to: Iowa State Unversty. Downloaded on March 02,200 at 7:25:07 EST from IEEE Xlore. Restrctons aly.

5 5 Transmsson Comleted Start 0, Tw - - 0, - 0, 0-0,0 0, 0,2 0,Ws- 0, Tw 0, 0, 0 -, Tw - -, -, 0 -,0,,2,Ws-, Tw,, 0 -, Tw - -, -, 0 -,0,,2,Ws-, Tw,, 0 - E-S, Tw - - E-S, - E-S, 0 - E-S,0 E-S, E-S,2 E-S,WE- E-S, Tw E-S, E-S, 0 - R-, Tw - - R-, - R-, 0 - R-,0 R-, R-,2 R-,WE- R-, Tw R-, R-, 0 - Watng lane Dscard Back-off lane Fg. 2. Markov Chan model for contenton resoluton The back-off lane descrbes how the SS transmts a BR (.e. BEB n ths aer. After transmttng a BR, the SS should wat for the resonse from the BS. The watng lane s used to reresent ths watng erod. In Fg. 2 all states n back-off lane and watng lane are denoted as ellses and rectangles, resectvely. In back-off lane, each back-off state, denoted as b(, r, reresents the -th attemt of sendng a BR wth a randomchosen back-off counter r. Ths 2-D MC modelng s ossble f we assume an ndeendent and constant robablty of an unsuccessful reuest,, for each attemt. It s ntutve that ths assumton results more accurate as long as the backoff wndow sze, W, and the number of SSs wth contenton resoluton TxOPs, N c, get larger. The correctness of ths assumton has been roven n [6]. We refer to as the condtonal collson robablty [7]. A SS starts to transmt a BR when ts back-off counter euals to 0, regardless of the back-off stage. Once the ndeendence s assumed, s suorted to be a constant value. After a BR s transmtted, the SS enters nto watng lane whch reresents that the SS wats for a resonse from the BS. Accordng to the IEEE standard, the SS should consder that the transmsson was faled f t does not receve a resonse from the BS wthn the number of subseuent UL-MAP messages secfed by the arameter of Contentonbased Reservaton Tmeout. Here, we use T w to reresent the maxmum number of subseuent UL-MAP messages that the SS can wat before enterng nto the back-off rocedure. There are two ossbltes that the SS cannot receve a resonse wthn T w subseuent UL-MAPs: the BR s collded wth another BR sent from other SSs. 2 the BR s rejected by the BS. Based on these two ossbltes, the watng states are classfed nto two branches: collson and non-collson. The states n collson branch and non-collson branch are reresented by w (, t and w 2 (, t, resectvely, where s the -th attemt and t s the number of subseuent UL-MAP Authorzed lcensed use lmted to: Iowa State Unversty. Downloaded on March 02,200 at 7:25:07 EST from IEEE Xlore. Restrctons aly.

6 6 messages that the SS has wated after transmttng a BR. As mentoned, s the robablty of an unsuccessful reuest. Thus, the robablty to enter the branch of collson s also. It can obtan that the robablty of transton between all states n the branch of collson s due to the falure of the BR transmsson. Intutvely, the robablty to enter the states n the branch of non-collson s. It s ossble that the BS receves a BR successfully but rejects t due to the lack of rado resource or volatng ts schedulng olces. Suose s the robablty of the BS to accet a BR n each frame. It s reasonable to assume that s a constant for the watng states of ths 2-D Markov chan model. In fact, s controlled by the olcy of admsson control and s ndeendent of the oeraton of the MAC layer. By combnng these two factors whch may cause falures of BR transmssons (collson and rejecton by the BS, the robablty of falures, denoted as f, can be reresented as: f = ( ( T w (2 Here, s the robablty of enterng nto the branch of collson. ( ( T w denotes the robablty of enterng nto the branch of non-collson but no resonse receved from the BS. It leads to the followng observaton: b(, 0 = f b(, 0 0 < R (3 P {b(, k b(, k } = k (0, W 2 (0, m (4a P {b(, k b(, 0} = W k (0, W (0, E S (4b P {b(, k b(, 0} = f W E k (0, W E (E S, R (4c P {w (, 0 b(, 0} = P {w (, t w (, t } = (0, R, t (0, T w (4f P {b(, r w 2 (, T w } = (E S, R, r (0, W E (4k f (0, R (4d P {w 2 (, 0 b(, 0} = (0, R (4e P {w 2 (, t w 2 (, t } = P {b(, r w (, T w } = (0, R, t (0, T w (4g (0, E S, r (0, W (4h P {b(, r w (, T w } = (E S, R, r (0, W E (4 P {b(, r w 2 (, T w } = (0, E S, r (0, W (4j Based on euaton (2 and (3, the robabltes of transton between states shown n Fg 2 are summarzed n euaton (4a (4k. Euaton (4a reresents the countdown of backoff counter. Euaton (4b and (4c llustrate the robablty of enterng to each back-off state whle the wndow sze has and has not reached the maxmum wndow sze, resectvely. The robabltes of enterng nto the branch of collson and noncollson are shown n euaton (4d and (4e, resectvely. Euaton (4f and (4g are the robablty between states between the branch of collson and non-collson, resectvely. Euaton (4h and (4 exress that the SS enters nto the back-off rocedure from the branch of collson wth dfferent contenton wndow sze. Smlarly, euaton (4j and (4k exress that the SS enters nto the back-off rocedure from the branch of non-collson wth dfferent contenton wndow sze. Based on the sze of contenton wndow, the back-off states can be classfed nto two tyes; Tye : the sze of contenton wndow s smaller than W E. Tye 2: the sze of contenton wndow has reached W E. Suose b(, k and b(j, k 2 denote the back-off states n Tye and Tye 2, resectvely. Addtonally, w (, t and w 2 (, t stand for the watng states n the branch of collson and non-collson, resectvely. Suose P ds reresents the robablty that a SS dscards a BR because ths BR cannot be transmtted successfully n R attemts. Thus, The sum of robablty n all the states lus P ds must eual to as shown n euaton (5. By smlfyng euaton (5, we can derve b(0, 0 shown n euaton (6. = = E S R W S k =0 T w t =0 R T w t E S R W S k =0 b(, k w (, t j=e S k 2=0 R T w t =0 R T w t =0 R W E j=e S k 2 =0 w 2 (, t f b(r, 0 W E ( W S k b(, 0 b(, 0 W S ( W E k 2 b(j, 0 W E ( ( ( t b(, 0 f b(r, 0 { E S b(0, 0 = f ( W s 2 = R j=e S R b(0, 0 2 j f ( W E R 2( ( ( T w {[ 2 T w 2T w f f 2P R f b(j, k 2 } Authorzed lcensed use lmted to: Iowa State Unversty. Downloaded on March 02,200 at 7:25:07 EST from IEEE Xlore. Restrctons aly.

7 7 b(0, 0 = 2 ] 2( ( ( Tw R f (2 f E S W S f 2 f E S 2 E S f R f W S 2 R f f {[ } 2 T w 2( ( ( T w R f (2 f E S W S f 2 f E S 2 E S f R f W S 2 R f f (5 ] } (6 The robablty that a SS transmts a BR n a randomly chosen contenton TxOP can be calculated as the sum of b(, 0, where 0 R. Ths robablty, denoted as τ, s exressed as: τ = = R b(, 0 b(0, 0 f (7 As shown n euaton (3, b(0, 0 s reresented as a functon of P f whch s a functon of resented n euaton (2. Thus, the value of τ stated n euaton (7 can be exressed as a functon of the condtonal collson robablty,, whch s unknown n our model. Agan, s the robablty that a collson occurs, whch s euvalent to the robablty of at least two SSs transmttng BRs at the same contenton TxOP. Thus, can be reresented as = ( τ (N c P r where τ s the robablty that a SS transmts a BR at the randomly chosen contenton TxOP shown n euaton (7. By usng euaton (7 and (8, we can solve these two unknown values, and τ, based on the known value of backoff start and end value (.e. S and E, the robablty of a SS to send a BR (.e. P r, the robablty of a BS to accet a BR (.e. and the number of SSs wth contenton TxOPs (.e. N c. To analyze the bandwdth usage of contenton TxOPs, t s necessary to fnd the bandwdth utlzaton, U c, whch s defned as the rato of the number of TxOPs whch delver BRs successfully to the total number of contenton TxOPs. To get ths rato, frst we nvestgate the robablty of transmsson, denoted as tx, whch s referred to the robablty that at least one SS transmttng a BR at a TxOP. Ths robablty can be obtaned as: tx = ( τ N c P r (9 The robablty of a successful transmsson, denoted as st, s the robablty that a BR s delvered successfully and (8 the BS grants ths BR. Ths robablty can be acheved by usng condtonal robablty that only one SS transmts a BR at a TxOP and the BS has enough bandwdth to serve ths BR under the condton that at least one transmsson s transmtted at ths TxOP. Therefore, the robablty of a successful transmsson can be addressed as: st = nτ( τ(n cp r tx ( ( T w (0 From euaton (9 and (0, the robablty of a TxOP whch delvers a BR successfully, reresented as sbr, s derved as: sbr = st tx = nτ( τ (NcP r ( ( Tw ( Intutvely, the robablty that a BR s delvered n a gven TxOP s euvalent to the robablty of a TxOP to be utlzed successfully. Conseuently, the bandwdth utlzaton of contenton TxOPs, U c s same as sbr. Although the maxmum delay reurement s not a necessary reurement for BE connectons, n ractce, we stll hoe the delay can be lmted nto certan bound whch s consdered as our exected delay, T c. Here, the delay s calculated as the tme dfference between the tme that the SS ntends to send a BR and the tme that the SS receves a resonse from the BS. One of the mortant factors to affect the delay s the number of contenton TxOPs scheduled by the BS n each frame. In ths aer, we focus on the relaton between the mnmum average number of contenton TxOPs assgned er frame (denoted as and the target delay (denoted as T c. Based on the contenton wndows sze, the exected delay can be calculated nto two sectons: E S and 2 E S < R, where s the -th attemt. Let T stand for the exected delay n the frst secton. It can be calculated as euaton (2. Smlarly, the delay of the second secton, denoted as T 2, can be derved as euaton (3. It s ntutve that the sum of the delay of two sectons s at most the target delay whch s reresented as T c. Moreover, n euaton (2 and (3, everythng s known excet and whch are the mnmum average number of contenton TxOPs assgned er frame and the robablty of an unsuccessful transmsson, resectvely. Therefore, we can use H(, to reresent the total delay as the sum of delay n these two sectons. By wrtng formally, t can be exressed as euaton (4. T = T 2 = E j=s T w j S f ( f [ ( ( j W m m=s R n=e S2 W j W m k=0 n f ( P f [ k W E W j k=0 T w W E k=0 k ] k (2 Authorzed lcensed use lmted to: Iowa State Unversty. Downloaded on March 02,200 at 7:25:07 EST from IEEE Xlore. Restrctons aly.

8 8 where T w ( ( W E n d=e S 2 T b ] T b = E S m=s ( W m W E k=0 W m k=0 k k T w T w (3 T c T T 2 = H(, (4 V. SCHEDULING ALGORITHMS FOR PERFORMANCE OBJECTIVES Based on the analyss shown n secton IV, we roosed two schedulng algorthms to meet the two erformance objectves roosed n ths aer, resectvely: Maxmze the bandwdth utlzaton under the condton of satsfyng a gven target delay reurement (reresented as Fxed-delay-MAX-Utlzaton n the rest of ths secton 2 Mnmze the target delay when a gven bandwdth utlzaton as a constrant s gven (reresented as Fxed-Utlzaton-MIN-delay n the rest of ths secton To meet the frst objectve, a schedulng algorthm, called Maxmum Bandwdth Utlzaton Schedulng Algorthm (MAX-U, s roosed. It hels the BS to schedule the number of TxOPs and the number of artcatng SSs for each BR mechansm n order to maxmze the bandwdth utlzaton whle satsfyng the target delay. Smlarly, the schedulng algorthm roosed for the second objectve s called Mnmze Delay Schedulng Algorthm (MIN-D. It hels the BS to fnd the combnaton of TxOPs assgned for each BR mechansm such that the system delay s mnmzed whle mantanng the desred utlzaton. Note that both schedulng algorthms hel the BS schedule ether uncast ollng TxOPs or contenton TxOPs to each SS to acheve the corresondng erformance objectve. No SSs receve both tyes of TxOPs at the same tme. In ths aer, we only focus on the BR mechansms. Thus, the bandwdth utlzaton ndcated n ths aer s the bandwdth utlzaton of TxOPs assgned for both BR mechansms (.e. uncast ollng and contenton resoluton. Moreover, the TxOPs scheduled for each mechansm are only used for transmttng BR messages. A. MAX-U Ths algorthm s desgned to satsfy our frst erformance objectve: maxmze the bandwdth utlzaton whle satsfyng the fxed delay reurement. The flow of ths algorthm s shown n Fg. 3. Suose T D s the gven achevable target Algorthm MAX-U Inut: All varables secfed n Table I and II Outut: N s the number of SSs wth uncast ollng TxOPs. N c s the number of SSs wth contenton resoluton TxOP. M s the average number of TxOPs scheduled for uncast ollng er frame. s the average number of TxOPs scheduled for contenton resoluton er frame. For =0 to N do N, Nc N N Uncast Pollng: M M calculate by euaton ( Contenton Resoluton: a. Solve τ and by usng euaton (7 and (8 wth gven Nc. b. Mc Mc calculated by euaton (4 wth a known. c. sbr sbr calculated by euaton (. Fnalze: U t M P rm c sbr M M c End For U t Max{U t } wth Mn{M c M } M M, N N, M c, N c N c Return M N N c Ste Ste 2 Ste 3 Fg. 3. Fnd all combnatons of (N, N c such that N N c = N. For each (N, N c, calculate the corresondng (M, and the bandwdth utlzaton whle the target delay, T D, s satsfed. Return the (N, N c and the corresondng (M, such that the bandwdth utlzaton s maxmzed. The stes of MAX-U delay. Our objectve s to fnd the number of uncast ollng TxOPs and contenton TxOPs scheduled n each frame such that the bandwdth utlzaton s maxmzed. In ths algorthm, each SS s scheduled wth ether one of the BR mechansms: uncast ollng TxOPs and contenton TxOPs. Suose N c and N are the number of SSs scheduled wth contenton and uncast ollng TxOPs, resectvely, such that N c N = N. The objectve of the algorthm s to maxmze the bandwdth utlzaton whle acheve the gven target delay. For all combnatons of (N, N c, we calculate the corresondng value of M and for each combnaton and select a combnaton of (N, N c and the corresondng M and, whch can maxmze the bandwdth utlzaton. Note that the overall throughut may be hgher f we can mnmze the number of TxOPs assgned for BR mechansms because there s more bandwdth whch can be assgned for data transmssons. Therefore, f there are multle combnatons whch result the same maxmum bandwdth utlzaton, the one wth mnmum number of TxOPs (.e. M s selected. Authorzed lcensed use lmted to: Iowa State Unversty. Downloaded on March 02,200 at 7:25:07 EST from IEEE Xlore. Restrctons aly.

9 9 Algorthm 2 MIN-D Inut: All varables secfed n Table I and II Outut: N s the number of SSs wth uncast ollng TxOPs. N c s the number of SSs wth contenton resoluton TxOPs M s the average number of uncast ollng TxOPs er frame. s the average number of contenton resoluton TxOPs er frame. For = 0 to N do N Nc N N K the set of all combnatons of (M, Mc such that euaton (5 s satsfed and M N. For j = to K Uncast Pollng: a. T j Calculated by euaton (. Contenton Resoluton: a. Solve τ and by usng euaton (7 and (8 wth gven Nc. b. Tc j Tc j Calculated by euaton 4. End For TD Mn{Max{T j, Tc j }} M M j Mc Mc j End For T D Mn{TD }, M M, N N, Mc, N c Nc Return M N N c Ste Fnd all combnaton of (N, N c such that N N c = N. Ste 2 (N, N c, fnd all corresondng (M, such that M ( P r ( sbr S u and M N. Ste 3 (N, N c, fnd the corresondng delay of each (M, and select one wth mnmum delay. Ste 4 (N, N c, set the delay as the corresondng delay of the cked (M,. Ste 5 Return the (N, N c wth mnmum delay. Fg. 4. B. MIN-D The stes of MIN-D Ths algorthm focus on achevng our second erformance objectve: mnmzng the delay whle satsfyng a gven bandwdth utlzaton reurement. Assume U t s the gven bandwdth utlzaton wth the fxed number of TxOPs, S t, for both BR mechansms (.e. M = S t. Thus, the number of unused TxOPs, denoted as S u, can be reresented as: S u = ( U t S t It s ntutve that the total unused TxOPs of both BR mechansms are at most S u. Formally, t can be exressed as: M ( P r ( sbr S u (5 Smlar to Algorthm, we exam all combnatons of (N, N c such that N N c = N. Our objectve s to fnd a combnaton of (N, N c wth the mnmum overall exected delay whle euaton (5 s satsfed. For each ar of (N, N c, there exst several ars of (M, whch satsfy the constrant stated n euaton (5. Suose M s the set of ualfed (M, for each ar of (N, N c. Therefore, we check all combnatons of (M, M and fnd the combnatons resultng the delay s mnmzed as our canddates. Here, delay s defned as max{t, T c }, where T and T c are the delay caused by uncast ollng and contenton resoluton, resectvely. Conseuently, for each ar of (N, N c, there are at least one ar of (M, as our canddates. Among these canddates, we ck one canddate wth the mnmum delay as our soluton for the schedulng decson. VI. NUMERICAL AND SIMULATION RESULTS A. System Set U In ths secton, we valdate the theoretcal results wth our smulaton results. The theoretcal results are made by the Matlab 2009a. The smulaton results are conducted by our smulator. The smulator s wrtten n C and followed the IEEE standard closely. Both analytcal and smulaton results are also comared wth two ordnary schemes: Uncast Pollng only. 2 Contenton Resoluton only. Table III summarzes the system arameters used n our numercal analyss and smulaton. In our smulaton, each SS serves one HTTP web browsng traffc [2] [3] whch s classfed as a BE connecton. In order to ncrease the varety of BE traffcs, the mean acket sze s randomly selected from 52 to 024 bytes. Because the mean traffc rate s fxed, the mean traffc rate can be calculated based on the selected mean acket sze. Parameters Value Number of BS Number of SS 200, 300, 400, 500 Frame Duraton 20 ms Modulaton BPSK, QPSK, 6QAM, 64QAM TTG/RTG 0 µs SSTG 4 µs Alcaton HTTP Traffc Tye VBR Schedulng Class BE Mean Packet Sze (byte Mean Traffc Rate 2Kbs B. MAX-U TABLE III SIMULATION PARAMETERS The target delay used n ths smulaton s second whch s the most common delay used for BE connectons. The results of bandwdth utlzaton under dfferent P r are shown n Fg. 5(a and Fg. 5(b. It s easy to observe that the results Authorzed lcensed use lmted to: Iowa State Unversty. Downloaded on March 02,200 at 7:25:07 EST from IEEE Xlore. Restrctons aly.

10 0 of bandwdth utlzaton are smlar wth dfferent number of SSs. It shows that the bandwdth utlzaton does not strongly relate to the number of SSs n the system. The utlzaton of contenton resoluton only s always has around 35 % no matter what value of P r s. On the other hand, the utlzaton of uncast ollng only s very close to the value of P r. By these results, we can conclude that the uncast ollng can acheve better bandwdth utlzaton f P r s larger than Therefore, t s mossble to always reach the better erformance f only one BR mechansm s consdered. As shown n the fgures, our analytc and smulaton results are very close to each other. Ths valdates ths analyss resented n Secton IV. Addtonally, our results always acheve the better bandwdth utlzaton roduced by ether uncast ollng only or contenton resoluton only. For examle, n Fg. 5(a, our algorthm acheves around 35 % of the bandwdth utlzaton when P r = 0., whch s smlar to the one that contenton only acheves. However, uncast ollng only results 0 % of bandwdth utlzaton. When P r = 0.8, both uncast ollng and our algorthm reach 80 % of bandwdth utlzaton. The contenton only stll kees ts bandwdth utlzaton around 35 %. It s because our schedulng algorthm (.e. MAX-U can hel the BS schedule one tye of BR mechansms whch can acheve better erformance accordng to the current network status. It s worth to note that our schedulng algorthm (MAX- U schedules all SSs wth ether uncast ollng TxOPs or contenton TxOPs. The combnatons n between (.e. art of SS wth uncast ollng TxOPs and the rest of them wth contenton TxOPs do not exst. It s because the contenton resoluton can always gve 35 % of bandwdth utlzaton and t wll be chosen f the uncast ollng cannot contrbute as hgh bandwdth utlzaton as t does. On the other hand, the uncast ollng wll always be chosen when t can have more than 35 % n bandwdth utlzaton (.e. P r > 35 %. C. MIN-D Fg. 6(a and Fg. 6(b show the relatonsh between the exected delay and P r whle the target bandwdth utlzaton s 0.3 and 0.5, resectvely. From the fgures, we obtan that our schedulng algorthm (.e. MIN-D always cks a BR mechansm resultng better erformance (.e. shorter delay. For nstance, n Fg. 6(a, both uncast ollng and our algorthm reach 0 ms of delay when P r = 0.4. However, the contenton only kees the delay around 45 ms n all values of P r. In Fg. 6(a, there are no results for uncast ollng only when P r = 0. and 0.2. It s because the bandwdth utlzaton cannot acheve 0.3 f only uncast ollng s used. Smlarly, there are no results for contenton only n Fg. 6(b snce the contenton resoluton cannot reach 50 % of bandwdth utlzaton. Table IV shows the smulaton results of the schedulng algorthm n terms of the number of SSs and the number of TxOPs assgned to each BR mechansm. Here, the target bandwdth utlzaton s 0.3. It s worth to note that both BR mechansms are scheduled for BR transmssons when P r = 0.. It s because the erformance reurement (.e. U = 0.3 cannot be acheve f only one BR mechansms s consdered. Ths result shows an examle that the better erformance can be acheved by schedulng both tyes of BR mechansms. Fg. 5. Fg. 6. Bandwdth Utlzaton (% Bandwdth Utlzaton (% Contenton Only Uncast Pollng Only MAX-U Smulaton MAX-U Theoretcal Pr (% (a Number of SS = 200 Contenton Only Uncast Pollng Only MAX-U Smulaton MAX-U Theoretc Pr (% (b Number of SS = 500 Smulaton Results of MAX-U Exected Delay (ms Exected Delay (ms Pr (% (a U = 0.3 Contenton Only Uncast Pollng Only MIN-D Smulaton MIN-D Theoretcal Pr (% (b U = 0.5 Smulaton Results of MIN-D Uncast Pollng Only MIN-D Smulaton MIN-D Theoretcal Authorzed lcensed use lmted to: Iowa State Unversty. Downloaded on March 02,200 at 7:25:07 EST from IEEE Xlore. Restrctons aly.

11 P r N M N c TABLE IV SIMULATION RESULTS OF MIN-D VII. CONCLUSION Accordng to the IEEE standard, the connectons belongng to ertps, nrtps and BE are allowed to make bandwdth reuests (BRs va both BR mechansms (.e. uncast ollng and contenton resoluton. The mechansm that the BS schedules to those connectons may result dfferent system erformance because of the nature of each BR mechansm. However, most conventonal research works lmt the oton to consder only one tye of BR mechansms. A schedulng scheme by consderng both tyes of BR mechansms s desred for the BS n order to otmze the system erformance. Besdes, t s not necessary for BS to erform ether uncast ollng or contenton resoluton to all SSs wthn one frame. Instead, the BS needs to schedule the arorate number of contenton resoluton or uncast ollng TxOPs to the SS n order to meet the delay reurement. Therefore, the schedulng decson should be made n a mult-frame bass. In ths aer, we rovde the erformance analyss of each BR mechansms n terms of bandwdth utlzaton and exected delay. Based on the analyss, we take both BR mechansms nto account and roose two schedulng algorthms to hel the BS make the schedulng decson based on the current network status such that the corresondng erformance objectves are acheved. There are two erformance objectves roosed n ths aer: Maxmzng the bandwdth utlzaton under the condton that the target delay s satsfed. 2 Mnmzng the delay whle the desred bandwdth utlzaton s reached. Our numercal and smulaton confrm that the schedulng algorthms can always have the better erformance by schedulng the number of transmsson oortuntes to one of the BR mechansm. Addtonally, when the robablty of makng BR (.e. P r s 0., a hybrd decson (.e. Schedulng SSs wth two BR mechansms can conduct the mnmum delay whle satsfyng the desred bandwdth utlzaton. [5] Thomas G. Rbertazz Comuter Networks and Systems : Theory and Performance Evaluaton. Srnger-Verlag 990. [6] Yaser Pourmohammad, Farshd Agharebarast, Mahmood R. Mnhas, Hussen M. Alnuwer and Vctor C.M. Leung Analytcal Modelng of Contenton-Based Bandwdth Reust Mechansm n IEEE Wreless Networks IEEE Transacton on Vehcular Technology, Vol. 57, No. 5 Setember [7] Gusee Banch Performance Analyss of the IEEE 802. Dstrbuted Coordnaton Functon, IEEE Journal on Selected Areas n Communcatons, Vol. 8, No. 3, March [8] Jesús Delcado, Qang N, Francsco M. Delcado and Lus Orozco- Barbosa New Contenton Resoluton Schemes for WMAX, WCNC 2009,.-6 [9] Hossam Fattah and Hussen Alnuwer Performance Evaluaton of Contenton-Based Access n IEEE Networks wth Subchannelzaton, ICC 2009,.-6 [0] Qang N, Alexey Vnel, Yang Xao, Andrey Turlkov and Tao Jang Investgaton of Bandwdth Reuest Mechansms under Pont-to-MultPont Mode of WMAX Networks IEEE Communcaton Magazne, 32-38, May [] Robert M. Metcalfe and Davd R. Boggs, Ethernet: Dstrbuted Packet Swtchng for Local Comuter Networks, Communcatons of the ACM, vol. 9, no. 7,. 395 V 404, July 976. [2] M. Molna, P. Castell and G. Foodes, Web traffc modelng exlotng TCP connecton temoral clusterng through HTML-REDUCE, IEEE Network Magazne, vol. 4, no. 3,.46-55, May [3] Z. Sun, et al., Internet QoS and traffc modlng, IEEE Proceedngs Software, Secal Issue on Performance Engneerng, vol. 5, no. 5, , October, 2004 Davd Chuck receved the BS degree n Aled Math from Tatung Unversty, Tawan n 2004 and the MS degree n Comuter Scence from Illnos Insttute of Technology n He s currently workng toward hs Ph.D. degree n Comuter Engneerng at Iowa State Unversty. Hs research nterests nclude wreless networkng, network vrtualzaton, resource allocaton and game theoretcal study of networks. He also worked as a research ntern n NTT Network Innovaton Labs at Yokosuka, Jaan n Kuan-Yu Chen receved the BS degreed n electrcal engneerng from Natonal Chung Cheng Unversty, Chay, Tawan, n In 2008, he was a research assstant at Iowa State Unversty. He s currently workng toward hs MS degree n Comuter Engneerng at Iowa State Unversty. Hs research nterests nclude VoIP, resource allocaton, Qualty of Servce and WMAX technology. REFERENCES [] IEEE WG, IEEE Standard for Local and Metrooltan Area Network Part 6: Ar Interface for Fxed Boardband Wreless Access Systems IEEE Std [2] Alexander Sayenko, Oll Alanen and Tmo Hämälänen, On Contenton Resoluton Parameters for the IEEE Base Staton, GLOBECOM 2007, [3] Chun Ne, Muthaah Venkatachalam and Xangyng Yang Adatve Pollng Servce for Next-Generaton IEEE WMAX Networks, GLOBAECOM 2007, [4] Ben-Jye Chang, Chen-Mng Chou and Yng-Hsn Lang Markov chan analyss of ulnk subframe n ollng-based WMAX networks, Comuter Communcatons 3 (2008, J. Morrs Chang s an assocate rofessor at Iowa State Unversty. Dr. Chang receved hs Ph.D. degree n Comuter Engneerng from North Carolna State Unversty. Hs ndustral exerence ncludes ostons at Texas Instruments, Mcroelectronc Center of North Carolna and AT&T Bell Laboratores. He receved the Unversty Excellence n Teachng Award at Illnos Insttute of Technology n 999. Dr. Chang s research nterests nclude: Wreless Networks, Performance study of Java Vrtual Machnes (JVM, and Comuter Archtecture. Currently, he s a handlng edtor of Journal of Mcrorocessors and Mcrosystems and the Mddleware & Wreless Networks subject area edtor of IEEE IT Professonal. He s a senor member of IEEE. Authorzed lcensed use lmted to: Iowa State Unversty. Downloaded on March 02,200 at 7:25:07 EST from IEEE Xlore. Restrctons aly.

MAC Layer Service Time Distribution of a Fixed Priority Real Time Scheduler over 802.11

MAC Layer Service Time Distribution of a Fixed Priority Real Time Scheduler over 802.11 Internatonal Journal of Software Engneerng and Its Applcatons Vol., No., Aprl, 008 MAC Layer Servce Tme Dstrbuton of a Fxed Prorty Real Tme Scheduler over 80. Inès El Korb Ecole Natonale des Scences de

More information

Chapter 3: Dual-bandwidth Data Path and BOCP Design

Chapter 3: Dual-bandwidth Data Path and BOCP Design Chater 3: Dual-bandwdth Data Path and BOCP Desgn 3. Introducton The focus of ths thess s on the 4G wreless moble Internet networks to rovde data servces wthn the overlang areas of CDA2000-WLA networks.

More information

A New Technique for Vehicle Tracking on the Assumption of Stratospheric Platforms. Department of Civil Engineering, University of Tokyo **

A New Technique for Vehicle Tracking on the Assumption of Stratospheric Platforms. Department of Civil Engineering, University of Tokyo ** Fuse, Taash A New Technque for Vehcle Tracng on the Assumton of Stratosherc Platforms Taash FUSE * and Ehan SHIMIZU ** * Deartment of Cvl Engneerng, Unversty of Toyo ** Professor, Deartment of Cvl Engneerng,

More information

Performance Analysis and Comparison of QoS Provisioning Mechanisms for CBR Traffic in Noisy IEEE 802.11e WLANs Environments

Performance Analysis and Comparison of QoS Provisioning Mechanisms for CBR Traffic in Noisy IEEE 802.11e WLANs Environments Tamkang Journal of Scence and Engneerng, Vol. 12, No. 2, pp. 143149 (2008) 143 Performance Analyss and Comparson of QoS Provsonng Mechansms for CBR Traffc n Nosy IEEE 802.11e WLANs Envronments Der-Junn

More information

Analysis of Energy-Conserving Access Protocols for Wireless Identification Networks

Analysis of Energy-Conserving Access Protocols for Wireless Identification Networks From the Proceedngs of Internatonal Conference on Telecommuncaton Systems (ITC-97), March 2-23, 1997. 1 Analyss of Energy-Conservng Access Protocols for Wreless Identfcaton etworks Imrch Chlamtac a, Chara

More information

A NEW ACTIVE QUEUE MANAGEMENT ALGORITHM BASED ON NEURAL NETWORKS PI. M. Yaghoubi Waskasi MYaghoubi@ece.ut.ac.ir. M. J. Yazdanpanah Yazdan@ut.ac.

A NEW ACTIVE QUEUE MANAGEMENT ALGORITHM BASED ON NEURAL NETWORKS PI. M. Yaghoubi Waskasi MYaghoubi@ece.ut.ac.ir. M. J. Yazdanpanah Yazdan@ut.ac. A NEW ACTIVE QUEUE MANAGEMENT ALGORITHM BASED ON NEURAL NETWORKS M. Yaghoub Waskas MYaghoub@ece.ut.ac.r M. J. Yazdananah Yazdan@ut.ac.r N. Yazdan Yazdan@ut.ac.r Control and Intellgent Processng Center

More information

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis The Development of Web Log Mnng Based on Improve-K-Means Clusterng Analyss TngZhong Wang * College of Informaton Technology, Luoyang Normal Unversty, Luoyang, 471022, Chna wangtngzhong2@sna.cn Abstract.

More information

An Alternative Way to Measure Private Equity Performance

An Alternative Way to Measure Private Equity Performance An Alternatve Way to Measure Prvate Equty Performance Peter Todd Parlux Investment Technology LLC Summary Internal Rate of Return (IRR) s probably the most common way to measure the performance of prvate

More information

Evaluation of the information servicing in a distributed learning environment by using monitoring and stochastic modeling

Evaluation of the information servicing in a distributed learning environment by using monitoring and stochastic modeling MultCraft Internatonal Journal of Engneerng, Scence and Technology Vol, o, 9, -4 ITERATIOAL JOURAL OF EGIEERIG, SCIECE AD TECHOLOGY wwwest-ngcom 9 MultCraft Lmted All rghts reserved Evaluaton of the nformaton

More information

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module LOSSLESS IMAGE COMPRESSION SYSTEMS Lesson 3 Lossless Compresson: Huffman Codng Instructonal Objectves At the end of ths lesson, the students should be able to:. Defne and measure source entropy..

More information

Applied Research Laboratory. Decision Theory and Receiver Design

Applied Research Laboratory. Decision Theory and Receiver Design Decson Theor and Recever Desgn Sgnal Detecton and Performance Estmaton Sgnal Processor Decde Sgnal s resent or Sgnal s not resent Nose Nose Sgnal? Problem: How should receved sgnals be rocessed n order

More information

A Secure Password-Authenticated Key Agreement Using Smart Cards

A Secure Password-Authenticated Key Agreement Using Smart Cards A Secure Password-Authentcated Key Agreement Usng Smart Cards Ka Chan 1, Wen-Chung Kuo 2 and Jn-Chou Cheng 3 1 Department of Computer and Informaton Scence, R.O.C. Mltary Academy, Kaohsung 83059, Tawan,

More information

Fault tolerance in cloud technologies presented as a service

Fault tolerance in cloud technologies presented as a service Internatonal Scentfc Conference Computer Scence 2015 Pavel Dzhunev, PhD student Fault tolerance n cloud technologes presented as a servce INTRODUCTION Improvements n technques for vrtualzaton and performance

More information

A Study on Secure Data Storage Strategy in Cloud Computing

A Study on Secure Data Storage Strategy in Cloud Computing Journal of Convergence Informaton Technology Volume 5, Number 7, Setember 00 A Study on Secure Data Storage Strategy n Cloud Comutng Danwe Chen, Yanjun He, Frst Author College of Comuter Technology, Nanjng

More information

Optimal maintenance of a production-inventory system with continuous repair times and idle periods

Optimal maintenance of a production-inventory system with continuous repair times and idle periods Proceedngs o the 3 Internatonal Conerence on Aled Mathematcs and Comutatonal Methods Otmal mantenance o a roducton-nventory system wth contnuous rear tmes and dle erods T. D. Dmtrakos* Deartment o Mathematcs

More information

Distributed Optimal Contention Window Control for Elastic Traffic in Wireless LANs

Distributed Optimal Contention Window Control for Elastic Traffic in Wireless LANs Dstrbuted Optmal Contenton Wndow Control for Elastc Traffc n Wreless LANs Yalng Yang, Jun Wang and Robn Kravets Unversty of Illnos at Urbana-Champagn { yyang8, junwang3, rhk@cs.uuc.edu} Abstract Ths paper

More information

"Research Note" APPLICATION OF CHARGE SIMULATION METHOD TO ELECTRIC FIELD CALCULATION IN THE POWER CABLES *

Research Note APPLICATION OF CHARGE SIMULATION METHOD TO ELECTRIC FIELD CALCULATION IN THE POWER CABLES * Iranan Journal of Scence & Technology, Transacton B, Engneerng, ol. 30, No. B6, 789-794 rnted n The Islamc Republc of Iran, 006 Shraz Unversty "Research Note" ALICATION OF CHARGE SIMULATION METHOD TO ELECTRIC

More information

ivoip: an Intelligent Bandwidth Management Scheme for VoIP in WLANs

ivoip: an Intelligent Bandwidth Management Scheme for VoIP in WLANs VoIP: an Intellgent Bandwdth Management Scheme for VoIP n WLANs Zhenhu Yuan and Gabrel-Mro Muntean Abstract Voce over Internet Protocol (VoIP) has been wdely used by many moble consumer devces n IEEE 802.11

More information

Project Networks With Mixed-Time Constraints

Project Networks With Mixed-Time Constraints Project Networs Wth Mxed-Tme Constrants L Caccetta and B Wattananon Western Australan Centre of Excellence n Industral Optmsaton (WACEIO) Curtn Unversty of Technology GPO Box U1987 Perth Western Australa

More information

Learning User's Scheduling Criteria in a Personal Calendar Agent!

Learning User's Scheduling Criteria in a Personal Calendar Agent! Learnng User's Schedulng Crtera n a Personal Calendar Agent! Shh-ju Ln and Jane Yung-jen Hsu Deartment of Comuter Scence and Informaton Engneerng Natonal Tawan Unversty 1 Sec 4 Roosevelt Road, Tae, 106

More information

INVESTIGATION OF VEHICULAR USERS FAIRNESS IN CDMA-HDR NETWORKS

INVESTIGATION OF VEHICULAR USERS FAIRNESS IN CDMA-HDR NETWORKS 21 22 September 2007, BULGARIA 119 Proceedngs of the Internatonal Conference on Informaton Technologes (InfoTech-2007) 21 st 22 nd September 2007, Bulgara vol. 2 INVESTIGATION OF VEHICULAR USERS FAIRNESS

More information

PAS: A Packet Accounting System to Limit the Effects of DoS & DDoS. Debish Fesehaye & Klara Naherstedt University of Illinois-Urbana Champaign

PAS: A Packet Accounting System to Limit the Effects of DoS & DDoS. Debish Fesehaye & Klara Naherstedt University of Illinois-Urbana Champaign PAS: A Packet Accountng System to Lmt the Effects of DoS & DDoS Debsh Fesehaye & Klara Naherstedt Unversty of Illnos-Urbana Champagn DoS and DDoS DDoS attacks are ncreasng threats to our dgtal world. Exstng

More information

Load Balancing of Parallelized Information Filters

Load Balancing of Parallelized Information Filters IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. XXX, NO. XX, XXXXXXX 2001 1 Load Balancng of Parallelzed Informaton Flters Nel C. Rowe, Member, IEEE Comuter Socety, and Amr Zaky, Member, IEEE

More information

Enabling P2P One-view Multi-party Video Conferencing

Enabling P2P One-view Multi-party Video Conferencing Enablng P2P One-vew Mult-party Vdeo Conferencng Yongxang Zhao, Yong Lu, Changja Chen, and JanYn Zhang Abstract Mult-Party Vdeo Conferencng (MPVC) facltates realtme group nteracton between users. Whle P2P

More information

denote the location of a node, and suppose node X . This transmission causes a successful reception by node X for any other node

denote the location of a node, and suppose node X . This transmission causes a successful reception by node X for any other node Fnal Report of EE359 Class Proect Throughput and Delay n Wreless Ad Hoc Networs Changhua He changhua@stanford.edu Abstract: Networ throughput and pacet delay are the two most mportant parameters to evaluate

More information

Efficient Bandwidth Management in Broadband Wireless Access Systems Using CAC-based Dynamic Pricing

Efficient Bandwidth Management in Broadband Wireless Access Systems Using CAC-based Dynamic Pricing Effcent Bandwdth Management n Broadband Wreless Access Systems Usng CAC-based Dynamc Prcng Bader Al-Manthar, Ndal Nasser 2, Najah Abu Al 3, Hossam Hassanen Telecommuncatons Research Laboratory School of

More information

Cooperative Load Balancing in IEEE 802.11 Networks with Cell Breathing

Cooperative Load Balancing in IEEE 802.11 Networks with Cell Breathing Cooperatve Load Balancng n IEEE 82.11 Networks wth Cell Breathng Eduard Garca Rafael Vdal Josep Paradells Wreless Networks Group - Techncal Unversty of Catalona (UPC) {eduardg, rvdal, teljpa}@entel.upc.edu;

More information

A DYNAMIC CRASHING METHOD FOR PROJECT MANAGEMENT USING SIMULATION-BASED OPTIMIZATION. Michael E. Kuhl Radhamés A. Tolentino-Peña

A DYNAMIC CRASHING METHOD FOR PROJECT MANAGEMENT USING SIMULATION-BASED OPTIMIZATION. Michael E. Kuhl Radhamés A. Tolentino-Peña Proceedngs of the 2008 Wnter Smulaton Conference S. J. Mason, R. R. Hll, L. Mönch, O. Rose, T. Jefferson, J. W. Fowler eds. A DYNAMIC CRASHING METHOD FOR PROJECT MANAGEMENT USING SIMULATION-BASED OPTIMIZATION

More information

Dynamic Fleet Management for Cybercars

Dynamic Fleet Management for Cybercars Proceedngs of the IEEE ITSC 2006 2006 IEEE Intellgent Transportaton Systems Conference Toronto, Canada, September 17-20, 2006 TC7.5 Dynamc Fleet Management for Cybercars Fenghu. Wang, Mng. Yang, Ruqng.

More information

An Adaptive Cross-layer Bandwidth Scheduling Strategy for the Speed-Sensitive Strategy in Hierarchical Cellular Networks

An Adaptive Cross-layer Bandwidth Scheduling Strategy for the Speed-Sensitive Strategy in Hierarchical Cellular Networks An Adaptve Cross-layer Bandwdth Schedulng Strategy for the Speed-Senstve Strategy n erarchcal Cellular Networks Jong-Shn Chen #1, Me-Wen #2 Department of Informaton and Communcaton Engneerng ChaoYang Unversty

More information

ANALYZING THE RELATIONSHIPS BETWEEN QUALITY, TIME, AND COST IN PROJECT MANAGEMENT DECISION MAKING

ANALYZING THE RELATIONSHIPS BETWEEN QUALITY, TIME, AND COST IN PROJECT MANAGEMENT DECISION MAKING ANALYZING THE RELATIONSHIPS BETWEEN QUALITY, TIME, AND COST IN PROJECT MANAGEMENT DECISION MAKING Matthew J. Lberatore, Department of Management and Operatons, Vllanova Unversty, Vllanova, PA 19085, 610-519-4390,

More information

Data Broadcast on a Multi-System Heterogeneous Overlayed Wireless Network *

Data Broadcast on a Multi-System Heterogeneous Overlayed Wireless Network * JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 24, 819-840 (2008) Data Broadcast on a Mult-System Heterogeneous Overlayed Wreless Network * Department of Computer Scence Natonal Chao Tung Unversty Hsnchu,

More information

Application of Multi-Agents for Fault Detection and Reconfiguration of Power Distribution Systems

Application of Multi-Agents for Fault Detection and Reconfiguration of Power Distribution Systems 1 Applcaton of Mult-Agents for Fault Detecton and Reconfguraton of Power Dstrbuton Systems K. Nareshkumar, Member, IEEE, M. A. Choudhry, Senor Member, IEEE, J. La, A. Felach, Senor Member, IEEE Abstract--The

More information

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ).

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ). REVIEW OF RISK MANAGEMENT CONCEPTS LOSS DISTRIBUTIONS AND INSURANCE Loss and nsurance: When someone s subject to the rsk of ncurrng a fnancal loss, the loss s generally modeled usng a random varable or

More information

A FRAMEWORK FOR EFFICIENT BANDWIDTH MANAGEMENT IN BROADBAND WIRELESS ACCESS SYSTEMS

A FRAMEWORK FOR EFFICIENT BANDWIDTH MANAGEMENT IN BROADBAND WIRELESS ACCESS SYSTEMS A FRAMEWORK FOR EFFICIENT BANDWIDTH MANAGEMENT IN BROADBAND WIRELESS ACCESS SYSTEMS BY BADER S. AL-MANTHARI A thess submtted to the School of Computng n conformty wth the requrements for the degree of

More information

Performance Analysis of Energy Consumption of Smartphone Running Mobile Hotspot Application

Performance Analysis of Energy Consumption of Smartphone Running Mobile Hotspot Application Internatonal Journal of mart Grd and lean Energy Performance Analyss of Energy onsumpton of martphone Runnng Moble Hotspot Applcaton Yun on hung a chool of Electronc Engneerng, oongsl Unversty, 511 angdo-dong,

More information

QoS-Aware Active Queue Management for Multimedia Services over the Internet

QoS-Aware Active Queue Management for Multimedia Services over the Internet QoS-Aware Actve Queue Management for Multmeda Servces over the Internet I-Shyan Hwang, *Bor-Junn Hwang, Pen-Mng Chang, Cheng-Yu Wang Abstract Recently, the multmeda servces such as IPTV, vdeo conference

More information

A Passive Network Measurement-based Traffic Control Algorithm in Gateway of. P2P Systems

A Passive Network Measurement-based Traffic Control Algorithm in Gateway of. P2P Systems roceedngs of the 7th World Congress The Internatonal Federaton of Automatc Control A assve Network Measurement-based Traffc Control Algorthm n Gateway of 2 Systems Ybo Jang, Weje Chen, Janwe Zheng, Wanlang

More information

J. Parallel Distrib. Comput.

J. Parallel Distrib. Comput. J. Parallel Dstrb. Comput. 71 (2011) 62 76 Contents lsts avalable at ScenceDrect J. Parallel Dstrb. Comput. journal homepage: www.elsever.com/locate/jpdc Optmzng server placement n dstrbuted systems n

More information

1. Fundamentals of probability theory 2. Emergence of communication traffic 3. Stochastic & Markovian Processes (SP & MP)

1. Fundamentals of probability theory 2. Emergence of communication traffic 3. Stochastic & Markovian Processes (SP & MP) 6.3 / -- Communcaton Networks II (Görg) SS20 -- www.comnets.un-bremen.de Communcaton Networks II Contents. Fundamentals of probablty theory 2. Emergence of communcaton traffc 3. Stochastc & Markovan Processes

More information

Portfolio Loss Distribution

Portfolio Loss Distribution Portfolo Loss Dstrbuton Rsky assets n loan ortfolo hghly llqud assets hold-to-maturty n the bank s balance sheet Outstandngs The orton of the bank asset that has already been extended to borrowers. Commtment

More information

A Structure Preserving Database Encryption Scheme

A Structure Preserving Database Encryption Scheme A Structure Preservng Database Encryton Scheme Yuval Elovc, Ronen Wasenberg, Erez Shmuel, Ehud Gudes Ben-Guron Unversty of the Negev, Faculty of Engneerng, Deartment of Informaton Systems Engneerng, Postfach

More information

The OC Curve of Attribute Acceptance Plans

The OC Curve of Attribute Acceptance Plans The OC Curve of Attrbute Acceptance Plans The Operatng Characterstc (OC) curve descrbes the probablty of acceptng a lot as a functon of the lot s qualty. Fgure 1 shows a typcal OC Curve. 10 8 6 4 1 3 4

More information

An Analytical Model for Multi-tier Internet Services and Its Applications

An Analytical Model for Multi-tier Internet Services and Its Applications An Analytcal Model for Mult-ter Internet Servces and Its Alcatons Bhuvan Urgaonkar, Govann Pacfc, Prashant Shenoy, Mke Sretzer, and Asser Tantaw Det. of Comuter Scence, Servce Management Mddleware Det.,

More information

Efficient Striping Techniques for Variable Bit Rate Continuous Media File Servers æ

Efficient Striping Techniques for Variable Bit Rate Continuous Media File Servers æ Effcent Strpng Technques for Varable Bt Rate Contnuous Meda Fle Servers æ Prashant J. Shenoy Harrck M. Vn Department of Computer Scence, Department of Computer Scences, Unversty of Massachusetts at Amherst

More information

On File Delay Minimization for Content Uploading to Media Cloud via Collaborative Wireless Network

On File Delay Minimization for Content Uploading to Media Cloud via Collaborative Wireless Network On Fle Delay Mnmzaton for Content Uploadng to Meda Cloud va Collaboratve Wreless Network Ge Zhang and Yonggang Wen School of Computer Engneerng Nanyang Technologcal Unversty Sngapore Emal: {zh0001ge, ygwen}@ntu.edu.sg

More information

Real-Time Traffic Signal Intelligent Control with Transit-Priority

Real-Time Traffic Signal Intelligent Control with Transit-Priority 738 JOURNAL OF SOFTWARE, VOL. 7, NO. 8, AUGUST 202 Real-Tme Traffc Sgnal Intellgent ontrol wth Transt-Prorty Xanyan Kuang School of vl Engneerng and Transortaton, South hna Unversty of Technology, GuangZhou,

More information

AN APPROACH TO WIRELESS SCHEDULING CONSIDERING REVENUE AND USERS SATISFACTION

AN APPROACH TO WIRELESS SCHEDULING CONSIDERING REVENUE AND USERS SATISFACTION The Medterranean Journal of Computers and Networks, Vol. 2, No. 1, 2006 57 AN APPROACH TO WIRELESS SCHEDULING CONSIDERING REVENUE AND USERS SATISFACTION L. Bada 1,*, M. Zorz 2 1 Department of Engneerng,

More information

An Interest-Oriented Network Evolution Mechanism for Online Communities

An Interest-Oriented Network Evolution Mechanism for Online Communities An Interest-Orented Network Evoluton Mechansm for Onlne Communtes Cahong Sun and Xaopng Yang School of Informaton, Renmn Unversty of Chna, Bejng 100872, P.R. Chna {chsun,yang}@ruc.edu.cn Abstract. Onlne

More information

FOURTH Generation (4G) Wireless Networks are developed

FOURTH Generation (4G) Wireless Networks are developed 2600 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 9, NO. 8, AUGUST 2010 Congeston-Based Prcng Resource Management n Broadband Wreless Networks Najah AbuAl, Mohammad Hayajneh, and Hossam Hassanen

More information

PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 12

PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 12 14 The Ch-squared dstrbuton PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 1 If a normal varable X, havng mean µ and varance σ, s standardsed, the new varable Z has a mean 0 and varance 1. When ths standardsed

More information

A Design Method of High-availability and Low-optical-loss Optical Aggregation Network Architecture

A Design Method of High-availability and Low-optical-loss Optical Aggregation Network Architecture A Desgn Method of Hgh-avalablty and Low-optcal-loss Optcal Aggregaton Network Archtecture Takehro Sato, Kuntaka Ashzawa, Kazumasa Tokuhash, Dasuke Ish, Satoru Okamoto and Naoak Yamanaka Dept. of Informaton

More information

Efficient Computation of Optimal, Physically Valid Motion

Efficient Computation of Optimal, Physically Valid Motion Vol. xx No. xx,.1 5, 200x 1 Effcent Comutaton of Otmal, Physcally Vald Moton Anthony C. Fang 1 and Nancy S. Pollard 2 1 Deartment of Comuter Scence, Natonal Unversty of Sngaore 2 Robotcs Insttute, Carnege

More information

A Replication-Based and Fault Tolerant Allocation Algorithm for Cloud Computing

A Replication-Based and Fault Tolerant Allocation Algorithm for Cloud Computing A Replcaton-Based and Fault Tolerant Allocaton Algorthm for Cloud Computng Tork Altameem Dept of Computer Scence, RCC, Kng Saud Unversty, PO Box: 28095 11437 Ryadh-Saud Araba Abstract The very large nfrastructure

More information

Analysis and Modeling of Buck Converter in Discontinuous-Output-Inductor-Current Mode Operation *

Analysis and Modeling of Buck Converter in Discontinuous-Output-Inductor-Current Mode Operation * Energy and Power Engneerng, 3, 5, 85-856 do:.436/ee.3.54b63 Publshed Onlne July 3 (htt://www.scr.org/journal/ee) Analyss and Modelng of Buck Converter n Dscontnuous-Outut-Inductor-Current Mode Oeraton

More information

VRT012 User s guide V0.1. Address: Žirmūnų g. 27, Vilnius LT-09105, Phone: (370-5) 2127472, Fax: (370-5) 276 1380, Email: info@teltonika.

VRT012 User s guide V0.1. Address: Žirmūnų g. 27, Vilnius LT-09105, Phone: (370-5) 2127472, Fax: (370-5) 276 1380, Email: info@teltonika. VRT012 User s gude V0.1 Thank you for purchasng our product. We hope ths user-frendly devce wll be helpful n realsng your deas and brngng comfort to your lfe. Please take few mnutes to read ths manual

More information

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic Lagrange Multplers as Quanttatve Indcators n Economcs Ivan Mezník Insttute of Informatcs, Faculty of Busness and Management, Brno Unversty of TechnologCzech Republc Abstract The quanttatve role of Lagrange

More information

Conferencing protocols and Petri net analysis

Conferencing protocols and Petri net analysis Conferencng protocols and Petr net analyss E. ANTONIDAKIS Department of Electroncs, Technologcal Educatonal Insttute of Crete, GREECE ena@chana.tecrete.gr Abstract: Durng a computer conference, users desre

More information

Energy Efficient Routing in Ad Hoc Disaster Recovery Networks

Energy Efficient Routing in Ad Hoc Disaster Recovery Networks Energy Effcent Routng n Ad Hoc Dsaster Recovery Networks Gl Zussman and Adran Segall Department of Electrcal Engneerng Technon Israel Insttute of Technology Hafa 32000, Israel {glz@tx, segall@ee}.technon.ac.l

More information

How To Understand The Results Of The German Meris Cloud And Water Vapour Product

How To Understand The Results Of The German Meris Cloud And Water Vapour Product Ttel: Project: Doc. No.: MERIS level 3 cloud and water vapour products MAPP MAPP-ATBD-ClWVL3 Issue: 1 Revson: 0 Date: 9.12.1998 Functon Name Organsaton Sgnature Date Author: Bennartz FUB Preusker FUB Schüller

More information

The Greedy Method. Introduction. 0/1 Knapsack Problem

The Greedy Method. Introduction. 0/1 Knapsack Problem The Greedy Method Introducton We have completed data structures. We now are gong to look at algorthm desgn methods. Often we are lookng at optmzaton problems whose performance s exponental. For an optmzaton

More information

A 2 -MAC: An Adaptive, Anycast MAC Protocol for Wireless Sensor Networks

A 2 -MAC: An Adaptive, Anycast MAC Protocol for Wireless Sensor Networks : An Adaptve, Anycast MAC Protocol for Wreless Sensor Networks Hwee-Xan Tan and Mun Choon Chan Department of Computer Scence, School of Computng, Natonal Unversty of Sngapore {hweexan, chanmc}@comp.nus.edu.sg

More information

1 Example 1: Axis-aligned rectangles

1 Example 1: Axis-aligned rectangles COS 511: Theoretcal Machne Learnng Lecturer: Rob Schapre Lecture # 6 Scrbe: Aaron Schld February 21, 2013 Last class, we dscussed an analogue for Occam s Razor for nfnte hypothess spaces that, n conjuncton

More information

Coordinated Denial-of-Service Attacks in IEEE 802.22 Networks

Coordinated Denial-of-Service Attacks in IEEE 802.22 Networks Coordnated Denal-of-Servce Attacks n IEEE 82.22 Networks Y Tan Department of ECE Stevens Insttute of Technology Hoboken, NJ Emal: ytan@stevens.edu Shamk Sengupta Department of Math. & Comp. Sc. John Jay

More information

taposh_kuet20@yahoo.comcsedchan@cityu.edu.hk rajib_csedept@yahoo.co.uk, alam_shihabul@yahoo.com

taposh_kuet20@yahoo.comcsedchan@cityu.edu.hk rajib_csedept@yahoo.co.uk, alam_shihabul@yahoo.com G. G. Md. Nawaz Al 1,2, Rajb Chakraborty 2, Md. Shhabul Alam 2 and Edward Chan 1 1 Cty Unversty of Hong Kong, Hong Kong, Chna taposh_kuet20@yahoo.comcsedchan@ctyu.edu.hk 2 Khulna Unversty of Engneerng

More information

Recurrence. 1 Definitions and main statements

Recurrence. 1 Definitions and main statements Recurrence 1 Defntons and man statements Let X n, n = 0, 1, 2,... be a MC wth the state space S = (1, 2,...), transton probabltes p j = P {X n+1 = j X n = }, and the transton matrx P = (p j ),j S def.

More information

How To Detect An 802.11 Traffc From A Network With A Network Onlne Onlnet

How To Detect An 802.11 Traffc From A Network With A Network Onlne Onlnet IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL. X, NO. X, XXX 2008 1 Passve Onlne Detecton of 802.11 Traffc Usng Sequental Hypothess Testng wth TCP ACK-Pars We We, Member, IEEE, Kyoungwon Suh, Member, IEEE,

More information

A generalized hierarchical fair service curve algorithm for high network utilization and link-sharing

A generalized hierarchical fair service curve algorithm for high network utilization and link-sharing Computer Networks 43 (2003) 669 694 www.elsever.com/locate/comnet A generalzed herarchcal far servce curve algorthm for hgh network utlzaton and lnk-sharng Khyun Pyun *, Junehwa Song, Heung-Kyu Lee Department

More information

Minimal Coding Network With Combinatorial Structure For Instantaneous Recovery From Edge Failures

Minimal Coding Network With Combinatorial Structure For Instantaneous Recovery From Edge Failures Mnmal Codng Network Wth Combnatoral Structure For Instantaneous Recovery From Edge Falures Ashly Joseph 1, Mr.M.Sadsh Sendl 2, Dr.S.Karthk 3 1 Fnal Year ME CSE Student Department of Computer Scence Engneerng

More information

AN APPOINTMENT ORDER OUTPATIENT SCHEDULING SYSTEM THAT IMPROVES OUTPATIENT EXPERIENCE

AN APPOINTMENT ORDER OUTPATIENT SCHEDULING SYSTEM THAT IMPROVES OUTPATIENT EXPERIENCE AN APPOINTMENT ORDER OUTPATIENT SCHEDULING SYSTEM THAT IMPROVES OUTPATIENT EXPERIENCE Yu-L Huang Industral Engneerng Department New Mexco State Unversty Las Cruces, New Mexco 88003, U.S.A. Abstract Patent

More information

Forecasting the Direction and Strength of Stock Market Movement

Forecasting the Direction and Strength of Stock Market Movement Forecastng the Drecton and Strength of Stock Market Movement Jngwe Chen Mng Chen Nan Ye cjngwe@stanford.edu mchen5@stanford.edu nanye@stanford.edu Abstract - Stock market s one of the most complcated systems

More information

Efficient On-Demand Data Service Delivery to High-Speed Trains in Cellular/Infostation Integrated Networks

Efficient On-Demand Data Service Delivery to High-Speed Trains in Cellular/Infostation Integrated Networks IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. XX, NO. XX, MONTH 2XX 1 Effcent On-Demand Data Servce Delvery to Hgh-Speed Trans n Cellular/Infostaton Integrated Networks Hao Lang, Student Member,

More information

How To Improve Delay Throughput In Wireless Networks With Multipath Routing And Channel Codeing

How To Improve Delay Throughput In Wireless Networks With Multipath Routing And Channel Codeing Delay-Throughput Enhancement n Wreless Networs wth Mult-path Routng and Channel Codng Kevan Ronas, Student Member, IEEE, Amr-Hamed Mohsenan-Rad, Member, IEEE, Vncent W.S. Wong, Senor Member, IEEE, Sathsh

More information

Survey on Virtual Machine Placement Techniques in Cloud Computing Environment

Survey on Virtual Machine Placement Techniques in Cloud Computing Environment Survey on Vrtual Machne Placement Technques n Cloud Computng Envronment Rajeev Kumar Gupta and R. K. Paterya Department of Computer Scence & Engneerng, MANIT, Bhopal, Inda ABSTRACT In tradtonal data center

More information

Availability-Based Path Selection and Network Vulnerability Assessment

Availability-Based Path Selection and Network Vulnerability Assessment Avalablty-Based Path Selecton and Network Vulnerablty Assessment Song Yang, Stojan Trajanovsk and Fernando A. Kupers Delft Unversty of Technology, The Netherlands {S.Yang, S.Trajanovsk, F.A.Kupers}@tudelft.nl

More information

Calculation of Sampling Weights

Calculation of Sampling Weights Perre Foy Statstcs Canada 4 Calculaton of Samplng Weghts 4.1 OVERVIEW The basc sample desgn used n TIMSS Populatons 1 and 2 was a two-stage stratfed cluster desgn. 1 The frst stage conssted of a sample

More information

DEFINING %COMPLETE IN MICROSOFT PROJECT

DEFINING %COMPLETE IN MICROSOFT PROJECT CelersSystems DEFINING %COMPLETE IN MICROSOFT PROJECT PREPARED BY James E Aksel, PMP, PMI-SP, MVP For Addtonal Informaton about Earned Value Management Systems and reportng, please contact: CelersSystems,

More information

Economic-Robust Transmission Opportunity Auction in Multi-hop Wireless Networks

Economic-Robust Transmission Opportunity Auction in Multi-hop Wireless Networks Economc-Robust Transmsson Opportunty Aucton n Mult-hop Wreless Networks Mng L, Pan L, Mao Pan, and Jnyuan Sun Department of Electrcal and Computer Engneerng, Msssspp State Unversty, Msssspp State, MS 39762

More information

An Intelligent Policy System for Channel Allocation of Information Appliance

An Intelligent Policy System for Channel Allocation of Information Appliance Tamkang Journal of Scence and Engneerng, Vol. 5, No., pp. 63-68 (2002) 63 An Intellgent Polcy System for Channel Allocaton of Informaton Applance Cheng-Yuan Ku, Chang-Jnn Tsao 2 and Davd Yen 3 Department

More information

QoS-Aware Spectrum Sharing in Cognitive Wireless Networks

QoS-Aware Spectrum Sharing in Cognitive Wireless Networks QoS-Aware Spectrum Sharng n Cogntve reless Networks Long Le and Ekram Hossan Abstract e consder QoS-aware spectrum sharng n cogntve wreless networks where secondary users are allowed to access the spectrum

More information

IMPACT ANALYSIS OF A CELLULAR PHONE

IMPACT ANALYSIS OF A CELLULAR PHONE 4 th ASA & μeta Internatonal Conference IMPACT AALYSIS OF A CELLULAR PHOE We Lu, 2 Hongy L Bejng FEAonlne Engneerng Co.,Ltd. Bejng, Chna ABSTRACT Drop test smulaton plays an mportant role n nvestgatng

More information

Dynamic Load Balancing of Parallel Computational Iterative Routines on Platforms with Memory Heterogeneity

Dynamic Load Balancing of Parallel Computational Iterative Routines on Platforms with Memory Heterogeneity Dynamc Load Balancng of Parallel Comutatonal Iteratve Routnes on Platforms wth Memory Heterogenety Davd Clare, Alexey Lastovetsy, Vladmr Rychov School of Comuter Scence and Informatcs, Unversty College

More information

Network Services Definition and Deployment in a Differentiated Services Architecture

Network Services Definition and Deployment in a Differentiated Services Architecture etwork Servces Defnton and Deployment n a Dfferentated Servces Archtecture E. kolouzou, S. Manats, P. Sampatakos,. Tsetsekas, I. S. Veners atonal Techncal Unversty of Athens, Department of Electrcal and

More information

Joint Dynamic Radio Resource Allocation and Mobility Load Balancing in 3GPP LTE Multi-Cell Network

Joint Dynamic Radio Resource Allocation and Mobility Load Balancing in 3GPP LTE Multi-Cell Network 288 FENG LI, LINA GENG, SHIHUA ZHU, JOINT DYNAMIC RADIO RESOURCE ALLOCATION AND MOBILITY LOAD BALANCING Jont Dynamc Rado Resource Allocaton and Moblty Load Balancng n 3GPP LTE Mult-Cell Networ Feng LI,

More information

Extending Probabilistic Dynamic Epistemic Logic

Extending Probabilistic Dynamic Epistemic Logic Extendng Probablstc Dynamc Epstemc Logc Joshua Sack May 29, 2008 Probablty Space Defnton A probablty space s a tuple (S, A, µ), where 1 S s a set called the sample space. 2 A P(S) s a σ-algebra: a set

More information

Performance modeling and analysis of mobile Internet access via cellular networks

Performance modeling and analysis of mobile Internet access via cellular networks Performance modelng and analyss of moble Internet access va cellular networks Master s thess Author: Taoyng Yuan Emal: tyuan@few.vu.nl Student ID: #1430610 Unversty: Supervsors: Vrje Unverstet Amsterdam

More information

An Analysis of Central Processor Scheduling in Multiprogrammed Computer Systems

An Analysis of Central Processor Scheduling in Multiprogrammed Computer Systems STAN-CS-73-355 I SU-SE-73-013 An Analyss of Central Processor Schedulng n Multprogrammed Computer Systems (Dgest Edton) by Thomas G. Prce October 1972 Techncal Report No. 57 Reproducton n whole or n part

More information

Joint Scheduling of Processing and Shuffle Phases in MapReduce Systems

Joint Scheduling of Processing and Shuffle Phases in MapReduce Systems Jont Schedulng of Processng and Shuffle Phases n MapReduce Systems Fangfe Chen, Mural Kodalam, T. V. Lakshman Department of Computer Scence and Engneerng, The Penn State Unversty Bell Laboratores, Alcatel-Lucent

More information

Feasibility of Using Discriminate Pricing Schemes for Energy Trading in Smart Grid

Feasibility of Using Discriminate Pricing Schemes for Energy Trading in Smart Grid Feasblty of Usng Dscrmnate Prcng Schemes for Energy Tradng n Smart Grd Wayes Tushar, Chau Yuen, Bo Cha, Davd B. Smth, and H. Vncent Poor Sngapore Unversty of Technology and Desgn, Sngapore 138682. Emal:

More information

A Performance Study of Uplink Scheduling Algorithms in Point to Multipoint WiMAX Networks

A Performance Study of Uplink Scheduling Algorithms in Point to Multipoint WiMAX Networks A Performance Study of Uplnk Schedulng Algorthms n Pont to Multpont WMAX Networks by Pratk Dhrona A thess submtted to the School of Computng n conformty wth the requrements for the degree of Master of

More information

VoIP over Multiple IEEE 802.11 Wireless LANs

VoIP over Multiple IEEE 802.11 Wireless LANs SUBMITTED TO IEEE TRANSACTIONS ON MOBILE COMPUTING 1 VoIP over Multple IEEE 80.11 Wreless LANs An Chan, Graduate Student Member, IEEE, Soung Chang Lew, Senor Member, IEEE Abstract IEEE 80.11 WLAN has hgh

More information

Load Balancing By Max-Min Algorithm in Private Cloud Environment

Load Balancing By Max-Min Algorithm in Private Cloud Environment Internatonal Journal of Scence and Research (IJSR ISSN (Onlne: 2319-7064 Index Coperncus Value (2013: 6.14 Impact Factor (2013: 4.438 Load Balancng By Max-Mn Algorthm n Prvate Cloud Envronment S M S Suntharam

More information

PERFORMANCE ANALYSIS OF PARALLEL ALGORITHMS

PERFORMANCE ANALYSIS OF PARALLEL ALGORITHMS Software Analye PERFORMANCE ANALYSIS OF PARALLEL ALGORIHMS Felcan ALECU PhD, Unverty Lecturer, Economc Informatc Deartment, Academy of Economc Stude, Bucharet, Romana E-mal: alecu.felcan@e.ae.ro Abtract:

More information

A Novel Auction Mechanism for Selling Time-Sensitive E-Services

A Novel Auction Mechanism for Selling Time-Sensitive E-Services A ovel Aucton Mechansm for Sellng Tme-Senstve E-Servces Juong-Sk Lee and Boleslaw K. Szymansk Optmaret Inc. and Department of Computer Scence Rensselaer Polytechnc Insttute 110 8 th Street, Troy, Y 12180,

More information

Forecasting the Demand of Emergency Supplies: Based on the CBR Theory and BP Neural Network

Forecasting the Demand of Emergency Supplies: Based on the CBR Theory and BP Neural Network 700 Proceedngs of the 8th Internatonal Conference on Innovaton & Management Forecastng the Demand of Emergency Supples: Based on the CBR Theory and BP Neural Network Fu Deqang, Lu Yun, L Changbng School

More information

A Ratio-Based Control Algorithm for Defense of DDoS Attacks

A Ratio-Based Control Algorithm for Defense of DDoS Attacks A Rato-Based ontrol Algorthm for Defense of DDoS Attacks Sheng-Ya n Yong Xong Jyh-harn u Deartment of omuter Scence eas A&M Unversty ollege Staton X 7784- {shengyayonglu}@cs.tamu.edu echncal Reort 005--4

More information

An Inter-Frame De-Jittering Scheme for Video Streaming over Mobile Communication Networks

An Inter-Frame De-Jittering Scheme for Video Streaming over Mobile Communication Networks An Inter-Frame De-Jtterng Scheme for Vdeo Streamng over Moble Communcaton Networks Tsang-Lng Sheu and Po-Wen Lee Department of Electrcal Engneerng Natonal Sun Yat-Sen Unversty Kaohsung, Tawan sheu@ee.nsysu.edu.tw

More information

Self-Motivated Relay Selection for a Generalized Power Line Monitoring Network

Self-Motivated Relay Selection for a Generalized Power Line Monitoring Network Self-Motvated Relay Selecton for a Generalzed Power Lne Montorng Network Jose Cordova and Xn Wang 1, Dong-Lang Xe 2, Le Zuo 3 1 Department of Electrcal and Computer Engneerng, State Unversty of New York

More information

Bandwidth and Power Management in Broadband Wireless Networks

Bandwidth and Power Management in Broadband Wireless Networks Iowa State University Digital Repository @ Iowa State University Graduate Theses and Dissertations Graduate College 2012 Bandwidth and Power Management in Broadband Wireless Networks David Haoen Chuck

More information

Power-of-Two Policies for Single- Warehouse Multi-Retailer Inventory Systems with Order Frequency Discounts

Power-of-Two Policies for Single- Warehouse Multi-Retailer Inventory Systems with Order Frequency Discounts Power-of-wo Polces for Sngle- Warehouse Mult-Retaler Inventory Systems wth Order Frequency Dscounts José A. Ventura Pennsylvana State Unversty (USA) Yale. Herer echnon Israel Insttute of echnology (Israel)

More information