VOLUME 5 BLAGOEVGRAD, BULGARIA SCIENTIFIC. Research ELECTRONIC ISSUE ISSN

Size: px
Start display at page:

Download "VOLUME 5 BLAGOEVGRAD, BULGARIA SCIENTIFIC. Research ELECTRONIC ISSUE ISSN 1312-7535"

Transcription

1 VOLUME BLAGOEVGRAD, BULGARIA SCIENTIFIC Research ISSN ELECTRONIC ISSUE

2 IMPROVING FAIRNESS IN CDMA-HDR NETWORKS Valentn Hrstov Abstract. Improvng throughput and farness n Cellular Data Networks s a problem of present nterest. Non hgh throughput and unfarness of data streams and sharng the network resources greatly lmt puttng nto practce and the commercal market wnng of such networks and technologes. In artcle are consdered man realzed n practce way of rasng throughput and farness n wreless networks. Usng smulaton results obtaned wth an avalable onlne smulator, I present some advantages of usng more accurate estmaton of the SINR combned wth H-ARQ n Cellular Data Networks. 1. INTRODUCTION Cellular Data Networks are becomng more and more popular nowadays. In these networks, tme s dvded nto many tme slots and each wreless termnal-wt s transmttng packets (to a base staton). WTs use one or more tme slots to transmt ther payload, but each tme slot can only accommodate one WT. Multple WTs are accommodated usng the tme dvson multple access- TDMA technque. As a result, each WT can use the maxmum power of the entre base staton-bs. In the wreless moble envronment, the RF condton changes sgnfcantly wth tme. When the RF condton s good, lttle codng protecton s needed and modulaton wth hgh constellaton can be used, makng t possble to transmt at a hgh data rate n a gven tmeslot. The data from each tmeslot are scrambled and spreaded usng a computer generated pseudo-random -sequence (chp) unque to the sector of cell (Code-Dvson Multple Access- CDMA). Cellular Data Networks- CDNs combne the advantages of both technques- TDMA and CDMA. Ths combnaton s well suted to the bursty nature of packet data, as well as has the advantage of beng able to have frequency reuse n every sector. CDNs as CDMA system are known to be nterference lmted, whch means that ther capacty can be ncreased by reducng the mnmum requred (for stable recepton of data at the recever) energy of sgnal wth a gven Sgnal to Interference and Nose Rato-SINR. The SINR s a functon of several factors such as path loss, shadowng, fadng, nose, and ntercell nterference. Such CDNs, as CDMA-HDR (Hgh Data Rate), 1xEVDV (1x Evoluton for Hgh-Speed Integrated Data and Voce), and other systems realze procedures for power control []: The WT measures the SINR of the receved sgnal through the plot channel and sends feedback to the BS; Based on the feedback from the WT, the BS adjusts ts transmtted power level. The structure of the reverse lnk traffc channel [5] s shown n Fgure 1. The plot channel ads coherent demodulaton and trackng. The reverse rate ndcator channel s used to nform the base staton about the data rate beng transmtted on the reverse lnk. If the base staton decdes to transmt a packet for a gven WT, t s requred to transmt t at the data rate specfed by the DRC request from that WT. The acknowledgement channel s used to support early completon of forward lnk packets.

3 Fg.1 Whle the data rate adaptaton dscussed above sgnfcantly mproves spectral effcency, further gan can be obtaned by dvdng the total packet energy n each packet nto several portons and ncrementally transmttng the packet wth a port of the energy usng multple subpackets n separate tmeslots, and termnatng the transmsson as soon as the packet s decoded correctly at the other end. Ths gan exsts because the estmaton of the RF envronment at the WT s not perfect, e.g. the data rate requested by WT va DRC channel for the base staton to transmt s usually conservatve. Ths s realzed by Hybrd Automatc Repeat Request- H-ARQ and Early Packet Termnaton. The Hybrd Automatc Repeat Request- H-ARQ (or more sophstcated Hybrd ARQ/FEC) s usually used to mprove data throughput [] and to allow for early packet termnaton. The general procedure of the H-ARQ s as follows: The packet s coded, nterleaved, added CRC and formed nto subpackets that are transmtted. The recever decodes the packet and checks the CRC. If the CRC check passes/ does not pass, an acknowledgment /negatve acknowledgment s sent back to the transmtter. Early packet termnaton refers to a successful recepton of a packet before the nomnal packet duraton when the channel condton s good. In H-ARQ, the nformaton bts are conveyed usng several subpackets. If the packet can be decoded correctly before all the subpackets are transmtted, the packet transmsson s termnated early and there s no need for addtonal transmssons. The repetton of the packet bts n the subpacket s accomplshed by means of channel codng to obtan further codng gan. To allow tme for the WT to process each subpacket and feed back the nformaton to the base staton, each subpacket s transmtted dsjontly n tme. In terms of energy, H-ARQ can be thought of as a scheme where addtonal energy for each subpacket s transmtted untl the requred SINR for the entre packet s reached [1]. The effect of H-ARQ s qute smlar to that of the fast power control technque snce t mnmzes the total nterference to other WTs by controllng the power used to transmt packets. The H-ARQ s used to mprove network performance n presence of nter-cell nterference [5]. In [1], Kwon et al. consder the problem of controllng the transmtted power. H-ARQ combned wth fast power control acheves a larger reducton n the nterference on the CDMA reverse lnk compared to the system only wth fast power control, however ths knd of gan s obtaned at the expense of larger packet delay. Other works such as [5] have studed the effect of nter-cell nterference over the forward lnk, and the benefts of H- ARQ n counterng the nterference, or rather a msmatch between the data rate that should be transmtted and the data rate that s requested by the WT s effectvely mtgated by H-ARQ and early packet termnaton. In [3], Mhatre et al. study the mpact of network load n the neghborng sectors on the nter-cell nterference n a cellular data network. The observaton that sgnal receved by a WT over the

4 forward lnk contans nterference from the neghborng base statons s used by the termnal to predct ts SINR more accurately. The sgnal receved by a WT over the forward lnk n a cellular data network contans nterference from the neghborng base statons. In Fg. s shown a WT n sector 0 of cell C receves nter-cell nterference from sector 1 of cell C and sector of cell C. Fg. In [3] s show that the SINR s: G0 A TC (1) SINR = 1 A TC(G1 ρ1 + G ρ 3 ) + N 0 where A s the sgnal ampltude, Tc s wdth of pulse (chp), G s the channel gan from the base staton of the nterferng sector to the termnal, and ρ s the traffc load on the forward lnk of -th sector (ρ s the probablty that a tme slot on the forward lnk of -th sector s busy). The SINR gven by (1), s a functon of G, and gven by: G = cd.w n ξ / () In (), the frst term n the product s determnstc (for a fxed WT locaton), and corresponds to path loss, whle the second term s a random varable correspondng to lognormal shadowng loss. Here, ξ s a Gaussan random varable wth mean 0, and varance σ G. Shadowng s correlated over each tme slot dependng on the speed of the WT as per Gudmundson model [6]. Last term- Raylegh fadng s accounted through W. However, n the actual mplementaton of CDMA-HDR [3], the BSs are GPS-synchronzed and all the BSs transmt ther plot sgnal at the same tme. Hence, the SINR measured by the termnals contans the worst case nter-cell nterference, snce the nterferng sgnals are transmted constantly durng the measurement phase. Referrng to (1), ths amounts to measurng the SINR wth ρ 1 = ρ = 1,.e: G0 A TC (3) SINR = 1 A TC(G1 + G ) + N 0 3 If the termnal has the nformaton about the network loads n all the sectors that are n ts actve set, t can calculate the actual SINR usng (1):

5 (4) SINR = 1 3 A T C (G 1 G 0 ρ 1 A T C + G ρ ) + N 0 Thus, usng more accurate estmaton of the SINR, WT wll be able to mprove data throughput. Moreover, H-ARQ also mproves throughput, even n spte of ntal conservatve SINR estmates [5], because as mentoned above, H-ARQ adjusts to network loadng n the adjacent sectors. The classcal ndex of farness [7] dsplays level of satsfacton of each user/wt, respectvely far sharng of the network resources, and s gven by: (5) Farness = ( X ) n / X So, Farness =1 speaks of qute farness sharng of the network resources between users, then and Farness =0 corresponds to absolutely opposte stuatons. The performance metrc s based on data throughput (X ). I expect that more accurate ntal estmaton of the SINR and H-ARQ can mprove throughput and farness. In next secton I wll verfy through smulatons whether these mprove the farness.. SIMULATION RESULTS I present smulaton results of farness when three WTs are served over the forward lnk,as run two sets of smulatons wth two subsets. In the frst set, all WTs use (3) n order to estmate SINR, and H -ARQ for early packet termnaton (Prmary Scheme), whle n the second set, all WTs use (4) to estmate SINR, and also use H-ARQ (Secondary. scheme ). In the frst subset, all the three WTs are pedestran, whle n the second- all WTs are vehcular termnals. Smulaton parameters are lsted n Table I, and have been taken from [6]. Each smulaton s run for 0,000 tme slots, and 600 ndependent smulatons are run to gather WT throughputs wthn 90% confdence nterval. I select WT locatons so that the termnal s equdstant from the two nterferng base statons. The locatons from the servng base staton of WTs are selected to be 0.4R 0, 0.7R 0 and R 0. The cell radus R s 1 Km. I use ITU path loss models for vehcular (10 kmph) and pedestran (3 kmph) WTs. Shadow correlaton dstance s the same for both vehcular and pedestran models- 0m, and depends only on the envronment (urban or suburban). Table 1 Carrer frequency, fo 000 MHz Log-normal Shadowng varance, G 10 db Shadow correlaton dstance 0.0 m Nose spectral densty, No -174 dbm/hz A, ampltude of transmt waveform 5.48 (base staton transmt power of 15W) Chp duraton, T c (1.5 Mcps) 0.8 us Radus of the sector, R 1 Km Ro for 90% cell coverage 0.95R = 0.95 Km Mscellaneous gans: antenna gans, 15. db body loss, cable loss Buldng penetraton loss, (only for 1 db pedestran WTs) Pedestran path loss n db, 101og 10 (cd n ) 301og 10 (f 0 ) og 10 (d) (f 0 n MHz, d n Km) Vehcular path loss n db, 10log 10 (cd n ) 1log 10 (f 0 ) log 10 (d) (f 0 n MHz, d n Km) Fracton of mult-path power captured by the recever (vehcular WT) 0.784

6 In all our smulatons, although the tme-varyng shadowng and fadng, I assume that the WT locaton remans unchanged durng the course of the smulaton. In all the smulatons, I assume for smplcty that the network loads n both the nterferng sectors are the same,.e., ρ 1 = ρ = ρ, and I vary ρ to study the farness of Prmary and Secondary Schemes for dfferent network loads n the nterferng sectors. Table X1 X X3 Farness Table 3 X1 X X3 Farness In tables and 3, I present the throughput (kbps)receved by each WT as a functon of the nterferng network load under the both schemes for pedestran model. Table gves the ndexes of throughput and farness for standard CDMA-HDR networks (Prmary Scheme). In columns ttled as X1, X, and X3 are presented end to end throughput for WTs 1,, and 3. In the last column s calculated the ndexes of farness usng (5). Smulaton results for Secondary Scheme are gven n table 3. I note that as the nterferng network load decreases, both the schemes result n hgher throughput for WTs and 3. Unlke Prmary Scheme, where the throughput of WT 1 ncreases wth decreasng network load, n Secondary Scheme, the throughput of WT 1 decreases wth decreasng network load. Ths s because both the schemes are desgned to mprove the throughput of a WT when the nter-cell nterference s lower. However ths beneft s especally more pronounced for WTs located near the cell boundary (WTs and 3). Table 4 X1 X X3 Farness Table 5 X1 X X3 Farness I observe smlar results for the vehcular model n (tables.4 and 5). Near the cell boundary the throughput degrades more rapdly, due to a lower path loss exponent (more n vehcular than pedestran model),.e. more serous. ntercell nterference. In Fg. 7, I plot the farness as a functon of the nterferng network load under Prmary and Secondary Schemes for pedestran model (See respectvely table, and table 3).

7 Fg. 7. Fg. 8. In fg. 8 s compared the farness of prmary scheme (squares), and secondary scheme (dots) for the vehcular model. As expected, I observe smlar results n Fg. 8, but the farness mprovement of WTs and 3 s even hgher n the vehcular case than the pedestran case. It can explan wth fact, that the Secondary Scheme benefts the WTs located far from the servng base staton, as well as penalzes near located WTs As t has been shown above proposed mechansm (Secondary Scheme) s better than standard CDMA-HDR, takng on account throughput as well as accordng farness. 3. CONCLUSIONS Ths artcle shows the advantages of usng more accurate estmaton of the SINR combned wth H-ARQ n Cellular Data Networks, as well as presents some smulaton results obtaned wth an avalable onlne smulator [4]. Usng the proposed n the present work method the farness can rase and thus, avod beatdown effect.

8 REFERENCES 1. Kwon et al., Power Controlled H-ARQ n cdma000 1xEV-DV, IEEE Communcatons Magazne, Aprl 005, pp Lee K. and Samuel C., Analyss of a Delay-Constraned Hybrd ARQ Wreless System, IEEE Transactons on Communcatons, Vol. 54, No. 11, November 006, pp Mhatre V. et al., Impact of Network Load on Forward Lnk Inter-Cell Interference n Cellular Data Networks, IEEE Transactons on Wreless Communcatons, Vol. 5, No. 1, December 006, pp Mhatre V., and C. Rosenberg, A smulator for CDMA-HDR data networks wth Hybrd- ARQ and opportunstc schedulng functonalty. Onlne avalable: 5. Q. B, A forward lnk performance study of the 1xEV-DO rev. 0 system usng feld measurements and smulatons, Lucent Technologes, Mar Onlne avalable: 6. ITU-MTR M.15, Gudelnes for Evaluaton of Rado Transmsson Technologes for IMT-000, Осипов Е.А., Проблемы реализации надежной передачи данных в самоорганизующихся и сенсорных сетях, ISSN сп. Электросвязь, 6, 006, с.9-3.

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

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

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

Rapid Estimation Method for Data Capacity and Spectrum Efficiency in Cellular Networks

Rapid Estimation Method for Data Capacity and Spectrum Efficiency in Cellular Networks Rapd Estmaton ethod for Data Capacty and Spectrum Effcency n Cellular Networs C.F. Ball, E. Humburg, K. Ivanov, R. üllner Semens AG, Communcatons oble Networs unch, Germany carsten.ball@semens.com Abstract

More information

An Introduction to 3G Monte-Carlo simulations within ProMan

An Introduction to 3G Monte-Carlo simulations within ProMan An Introducton to 3G Monte-Carlo smulatons wthn ProMan responsble edtor: Hermann Buddendck AWE Communcatons GmbH Otto-Llenthal-Str. 36 D-71034 Böblngen Phone: +49 70 31 71 49 7-16 Fax: +49 70 31 71 49

More information

Performance Analysis of Time-of-Arrival Mobile Positioning in Wireless Cellular CDMA Networks

Performance Analysis of Time-of-Arrival Mobile Positioning in Wireless Cellular CDMA Networks Performance Analyss of Tme-of-Arrval Moble Postonng n Wreless Cellular CDMA Networks 437 1 X Performance Analyss of Tme-of-Arrval Moble Postonng n Wreless Cellular CDMA Networks M. A.Landols, A. H. Muqabel,

More information

An RFID Distance Bounding Protocol

An RFID Distance Bounding Protocol An RFID Dstance Boundng Protocol Gerhard P. Hancke and Markus G. Kuhn May 22, 2006 An RFID Dstance Boundng Protocol p. 1 Dstance boundng Verfer d Prover Places an upper bound on physcal dstance Does not

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

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

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

One-Shot Games for Spectrum Sharing among Co-Located Radio Access Networks

One-Shot Games for Spectrum Sharing among Co-Located Radio Access Networks One-Shot Games for Spectrum Sharng among Co-Located Rado Access etwors Sofonas Halu, Alexs A. Dowhuszo, Olav Tronen and Lu We Department of Communcatons and etworng, Aalto Unversty, P.O. Box 3000, FI-00076

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

APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT

APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT Toshhko Oda (1), Kochro Iwaoka (2) (1), (2) Infrastructure Systems Busness Unt, Panasonc System Networks Co., Ltd. Saedo-cho

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

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

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

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

Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy

Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy 4.02 Quz Solutons Fall 2004 Multple-Choce Questons (30/00 ponts) Please, crcle the correct answer for each of the followng 0 multple-choce questons. For each queston, only one of the answers s correct.

More information

Frequency Selective IQ Phase and IQ Amplitude Imbalance Adjustments for OFDM Direct Conversion Transmitters

Frequency Selective IQ Phase and IQ Amplitude Imbalance Adjustments for OFDM Direct Conversion Transmitters Frequency Selectve IQ Phase and IQ Ampltude Imbalance Adjustments for OFDM Drect Converson ransmtters Edmund Coersmeer, Ernst Zelnsk Noka, Meesmannstrasse 103, 44807 Bochum, Germany edmund.coersmeer@noka.com,

More information

Properties of Indoor Received Signal Strength for WLAN Location Fingerprinting

Properties of Indoor Received Signal Strength for WLAN Location Fingerprinting Propertes of Indoor Receved Sgnal Strength for WLAN Locaton Fngerprntng Kamol Kaemarungs and Prashant Krshnamurthy Telecommuncatons Program, School of Informaton Scences, Unversty of Pttsburgh E-mal: kakst2,prashk@ptt.edu

More information

Availability Benefit of Future Dual Frequency GPS Avionics under Strong Ionospheric Scintillation

Availability Benefit of Future Dual Frequency GPS Avionics under Strong Ionospheric Scintillation Avalablty Beneft of Future Dual Frequency GPS Avoncs under Strong Ionospherc Scntllaton Jwon Seo, Todd Walter, and Per Enge Stanford Unversty BIOGRAPHY Jwon Seo s a Ph.D. canddate n aeronautcs and astronautcs

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

RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL. Yaoqi FENG 1, Hanping QIU 1. China Academy of Space Technology (CAST) yaoqi.feng@yahoo.

RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL. Yaoqi FENG 1, Hanping QIU 1. China Academy of Space Technology (CAST) yaoqi.feng@yahoo. ICSV4 Carns Australa 9- July, 007 RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL Yaoq FENG, Hanpng QIU Dynamc Test Laboratory, BISEE Chna Academy of Space Technology (CAST) yaoq.feng@yahoo.com Abstract

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

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

Traffic State Estimation in the Traffic Management Center of Berlin

Traffic State Estimation in the Traffic Management Center of Berlin Traffc State Estmaton n the Traffc Management Center of Berln Authors: Peter Vortsch, PTV AG, Stumpfstrasse, D-763 Karlsruhe, Germany phone ++49/72/965/35, emal peter.vortsch@ptv.de Peter Möhl, PTV AG,

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

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

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

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

Practical Design Considerations for Next Generation High-Speed Data Wireless Systems

Practical Design Considerations for Next Generation High-Speed Data Wireless Systems Practcal Desgn Consderatons for ext Generaton Hgh-peed Data Wreless ystems ChngYao Huang and Hue Yuan u Wreless Informaton and Technology Lab Department of Electroncs Engneerng atonal Chao Tung Unversty

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 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

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

Lecture 3: Force of Interest, Real Interest Rate, Annuity

Lecture 3: Force of Interest, Real Interest Rate, Annuity Lecture 3: Force of Interest, Real Interest Rate, Annuty Goals: Study contnuous compoundng and force of nterest Dscuss real nterest rate Learn annuty-mmedate, and ts present value Study annuty-due, 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

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

ADAPTIVE WIENER-TURBO SYSTEM AND ADAPTIVE WIENER-TURBO SYSTEMS WITH JPEG & BIT PLANE COMPRESSIONS

ADAPTIVE WIENER-TURBO SYSTEM AND ADAPTIVE WIENER-TURBO SYSTEMS WITH JPEG & BIT PLANE COMPRESSIONS ISTANBUL UNIVERSITY JOURNAL OF ELECTRICAL & ELECTRONICS ENGINEERING YEAR VOLUME NUMBER : 2007 : 7 : 1 (257-276) ADAPTIVE WIENER-TURBO SYSTEM AND ADAPTIVE WIENER-TURBO SYSTEMS WITH JPEG & BIT PLANE COMPRESSIONS

More information

Calculating the high frequency transmission line parameters of power cables

Calculating the high frequency transmission line parameters of power cables < ' Calculatng the hgh frequency transmsson lne parameters of power cables Authors: Dr. John Dcknson, Laboratory Servces Manager, N 0 RW E B Communcatons Mr. Peter J. Ncholson, Project Assgnment Manager,

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

Causal, Explanatory Forecasting. Analysis. Regression Analysis. Simple Linear Regression. Which is Independent? Forecasting

Causal, Explanatory Forecasting. Analysis. Regression Analysis. Simple Linear Regression. Which is Independent? Forecasting Causal, Explanatory Forecastng Assumes cause-and-effect relatonshp between system nputs and ts output Forecastng wth Regresson Analyss Rchard S. Barr Inputs System Cause + Effect Relatonshp The job of

More information

Measuring Ad Effectiveness Using Geo Experiments

Measuring Ad Effectiveness Using Geo Experiments Measurng Ad Effectveness Usng Geo Experments Jon Vaver, Jm Koehler Google Inc Abstract Advertsers have a fundamental need to quantfy the effectveness of ther advertsng For search ad spend, ths nformaton

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

Computer Networks 55 (2011) 3503 3516. Contents lists available at ScienceDirect. Computer Networks. journal homepage: www.elsevier.

Computer Networks 55 (2011) 3503 3516. Contents lists available at ScienceDirect. Computer Networks. journal homepage: www.elsevier. Computer Networks 55 (2011) 3503 3516 Contents lsts avalable at ScenceDrect Computer Networks journal homepage: www.elsever.com/locate/comnet Bonded defct round robn schedulng for mult-channel networks

More information

Luby s Alg. for Maximal Independent Sets using Pairwise Independence

Luby s Alg. for Maximal Independent Sets using Pairwise Independence Lecture Notes for Randomzed Algorthms Luby s Alg. for Maxmal Independent Sets usng Parwse Independence Last Updated by Erc Vgoda on February, 006 8. Maxmal Independent Sets For a graph G = (V, E), an ndependent

More information

Agile Traffic Merging for Data Center Networks. Qing Yi and Suresh Singh Portland State University, Oregon June 10 th, 2014

Agile Traffic Merging for Data Center Networks. Qing Yi and Suresh Singh Portland State University, Oregon June 10 th, 2014 Agle Traffc Mergng for Data Center Networks Qng Y and Suresh Sngh Portland State Unversty, Oregon June 10 th, 2014 Agenda Background and motvaton Power optmzaton model Smulated greedy algorthm Traffc mergng

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

Secure Walking GPS: A Secure Localization and Key Distribution Scheme for Wireless Sensor Networks

Secure Walking GPS: A Secure Localization and Key Distribution Scheme for Wireless Sensor Networks Secure Walkng GPS: A Secure Localzaton and Key Dstrbuton Scheme for Wreless Sensor Networks Q M, John A. Stankovc, Radu Stoleru 2 Department of Computer Scence, Unversty of Vrgna, USA 2 Department of Computer

More information

Improving Perceived Speech Quality for Wireless. VoIP By Cross-Layer Designs

Improving Perceived Speech Quality for Wireless. VoIP By Cross-Layer Designs Improvng Perceved Speech Qualty for Wreless VoIP By Cross-Layer Desgns By Zhuoqun L Ths dssertaton s submtted to the Unversty of Plymouth n partal fulflment of the award of Master of Research n Network

More information

An Adaptive and Distributed Clustering Scheme for Wireless Sensor Networks

An Adaptive and Distributed Clustering Scheme for Wireless Sensor Networks 2007 Internatonal Conference on Convergence Informaton Technology An Adaptve and Dstrbuted Clusterng Scheme for Wreless Sensor Networs Xnguo Wang, Xnmng Zhang, Guolang Chen, Shuang Tan Department of Computer

More information

SIMPLE LINEAR CORRELATION

SIMPLE LINEAR CORRELATION SIMPLE LINEAR CORRELATION Smple lnear correlaton s a measure of the degree to whch two varables vary together, or a measure of the ntensty of the assocaton between two varables. Correlaton often s abused.

More information

VoIP Playout Buffer Adjustment using Adaptive Estimation of Network Delays

VoIP Playout Buffer Adjustment using Adaptive Estimation of Network Delays VoIP Playout Buffer Adjustment usng Adaptve Estmaton of Network Delays Mroslaw Narbutt and Lam Murphy* Department of Computer Scence Unversty College Dubln, Belfeld, Dubln, IRELAND Abstract The poor qualty

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

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

End-to-end measurements of GPRS-EDGE networks have

End-to-end measurements of GPRS-EDGE networks have End-to-end measurements over GPRS-EDGE networks Juan Andrés Negrera Facultad de Ingenería, Unversdad de la Repúblca Montevdeo, Uruguay Javer Perera Facultad de Ingenería, Unversdad de la Repúblca Montevdeo,

More information

Slow Fading Channel Selection: A Restless Multi-Armed Bandit Formulation

Slow Fading Channel Selection: A Restless Multi-Armed Bandit Formulation Slow Fadng Channel Selecton: A Restless Mult-Armed Bandt Formulaton Konstantn Avrachenkov INRIA, Maestro Team BP95, 06902 Sopha Antpols, France Emal: k.avrachenkov@sopha.nra.fr Laura Cottatellucc, Lorenzo

More information

Antenna and Propagation Parameters Modeling Live Networks

Antenna and Propagation Parameters Modeling Live Networks Antenna and Propagaton Parameters Modelng Lve Networks Arne Smonsson, Martn Johansson and Magnus Lundevall Ercsson Research, Sweden [arne.smonsson, martn.n.johansson, magnus.lundevall]@ercsson.com Abstract

More information

Dimming Cellular Networks

Dimming Cellular Networks Dmmng Cellular Networks Davd Tpper, Abdelmounaam Rezgu, Prashant Krshnamurthy, and Peera Pacharntanakul Graduate Telecommuncatons and Networkng Program, Unversty of Pttsburgh, Pttsburgh, PA 1526, Unted

More information

SPEE Recommended Evaluation Practice #6 Definition of Decline Curve Parameters Background:

SPEE Recommended Evaluation Practice #6 Definition of Decline Curve Parameters Background: SPEE Recommended Evaluaton Practce #6 efnton of eclne Curve Parameters Background: The producton hstores of ol and gas wells can be analyzed to estmate reserves and future ol and gas producton rates and

More information

On-Line Fault Detection in Wind Turbine Transmission System using Adaptive Filter and Robust Statistical Features

On-Line Fault Detection in Wind Turbine Transmission System using Adaptive Filter and Robust Statistical Features On-Lne Fault Detecton n Wnd Turbne Transmsson System usng Adaptve Flter and Robust Statstcal Features Ruoyu L Remote Dagnostcs Center SKF USA Inc. 3443 N. Sam Houston Pkwy., Houston TX 77086 Emal: ruoyu.l@skf.com

More information

Load Balancing Based on Clustering Methods for LTE Networks

Load Balancing Based on Clustering Methods for LTE Networks Cyber Journals: Multdscplnary Journals n Scence and Technology Journal of Selected Areas n Telecommuncatons (JSAT) February Edton 2013 Volume 3 Issue 2 Load Balancng Based on Clusterng Methods for LTE

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

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

An Ad Hoc Network Load Balancing Energy- Efficient Multipath Routing Protocol

An Ad Hoc Network Load Balancing Energy- Efficient Multipath Routing Protocol 246 JOURNA OF SOFTWAR, VO. 9, NO. 1, JANUARY 2014 An Ad Hoc Network oad alancng nergy- ffcent Multpath Routng Protocol De-jn Kong Shanx Fnance and Taxaton College, Tayuan, Chna mal: dejnkong@163.com Xao-lng

More information

M3S MULTIMEDIA MOBILITY MANAGEMENT AND LOAD BALANCING IN WIRELESS BROADCAST NETWORKS

M3S MULTIMEDIA MOBILITY MANAGEMENT AND LOAD BALANCING IN WIRELESS BROADCAST NETWORKS M3S MULTIMEDIA MOBILITY MANAGEMENT AND LOAD BALANCING IN WIRELESS BROADCAST NETWORKS Bogdan Cubotaru, Gabrel-Mro Muntean Performance Engneerng Laboratory, RINCE School of Electronc Engneerng Dubln Cty

More information

Open Access A Load Balancing Strategy with Bandwidth Constraint in Cloud Computing. Jing Deng 1,*, Ping Guo 2, Qi Li 3, Haizhu Chen 1

Open Access A Load Balancing Strategy with Bandwidth Constraint in Cloud Computing. Jing Deng 1,*, Ping Guo 2, Qi Li 3, Haizhu Chen 1 Send Orders for Reprnts to reprnts@benthamscence.ae The Open Cybernetcs & Systemcs Journal, 2014, 8, 115-121 115 Open Access A Load Balancng Strategy wth Bandwdth Constrant n Cloud Computng Jng Deng 1,*,

More information

Efficient Project Portfolio as a tool for Enterprise Risk Management

Efficient Project Portfolio as a tool for Enterprise Risk Management Effcent Proect Portfolo as a tool for Enterprse Rsk Management Valentn O. Nkonov Ural State Techncal Unversty Growth Traectory Consultng Company January 5, 27 Effcent Proect Portfolo as a tool for Enterprse

More information

CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol

CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK Sample Stablty Protocol Background The Cholesterol Reference Method Laboratory Network (CRMLN) developed certfcaton protocols for total cholesterol, HDL

More information

A Dynamic Load Balancing Algorithm in Heterogeneous Network

A Dynamic Load Balancing Algorithm in Heterogeneous Network 06 7th Internatonal Conference on Intellgent Systems Modellng and Smulaton A Dynamc Load Balancng Algorthm n Heterogeneous etwork Zhxong Dng Xngjun Wang and Wenmng Yang Shenzhen Key Lab of Informaton Securty

More information

Downlink Power Allocation for Multi-class. Wireless Systems

Downlink Power Allocation for Multi-class. Wireless Systems Downlnk Power Allocaton for Mult-class 1 Wreless Systems Jang-Won Lee, Rav R. Mazumdar, and Ness B. Shroff School of Electrcal and Computer Engneerng Purdue Unversty West Lafayette, IN 47907, USA {lee46,

More information

Blind Estimation of Transmit Power in Wireless Networks

Blind Estimation of Transmit Power in Wireless Networks Bln Estmaton of Transmt Power n Wreless Networks Murtaza Zafer (IBM Research), Bongjun Ko (IBM Research), Chatschk Bskan (IBM Research) an Ivan Ho (Imperal College, UK) Transmt-power Estmaton: Problem

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

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

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

What is Candidate Sampling

What is Candidate Sampling What s Canddate Samplng Say we have a multclass or mult label problem where each tranng example ( x, T ) conssts of a context x a small (mult)set of target classes T out of a large unverse L of possble

More information

Optimization of Resource Allocation in Wireless Systems Based on Game Theory

Optimization of Resource Allocation in Wireless Systems Based on Game Theory Internatonal Journal of Computer Scences and Engneerng Open Access Research Paper Volume-4, Issue-1 E-ISSN: 347-693 Optmzaton of Resource Allocaton n Wreless Systems Based on Game Theory Sara Rah 1*, Al

More information

Wireless Inter-Session Network Coding - An Approach Using Virtual Multicasts

Wireless Inter-Session Network Coding - An Approach Using Virtual Multicasts Wreless Inter-Sesson Network Codng - An Approach Usng Vrtual Multcasts Mchael Hendlmaer,DesmondS.Lun,DanalTraskov,andMurelMédard Insttute for Communcatons Engneerng CCIB RLE Technsche Unverstät München

More information

Sangam - Efficient Cellular-WiFi CDN-P2P Group Framework for File Sharing Service

Sangam - Efficient Cellular-WiFi CDN-P2P Group Framework for File Sharing Service Sangam - Effcent Cellular-WF CDN-P2P Group Framework for Fle Sharng Servce Anjal Srdhar Unversty of Illnos, Urbana-Champagn Urbana, USA srdhar3@llnos.edu Klara Nahrstedt Unversty of Illnos, Urbana-Champagn

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

Minimum Energy Coding in CDMA Wireless Sensor Networks

Minimum Energy Coding in CDMA Wireless Sensor Networks IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 8, NO., FEBRUARY 009 985 Mnmum Energy Codng n CDMA Wreless Sensor Networks C. Fschone, Member, IEEE, K. H. Johansson, Member, IEEE, A. Sangovann-Vncentell,

More information

Relay Secrecy in Wireless Networks with Eavesdropper

Relay Secrecy in Wireless Networks with Eavesdropper Relay Secrecy n Wreless Networks wth Eavesdropper Parvathnathan Venktasubramanam, Tng He and Lang Tong School of Electrcal and Computer Engneerng Cornell Unversty, Ithaca, NY 14853 Emal : {pv45, th255,

More information

How To Solve An Onlne Control Polcy On A Vrtualzed Data Center

How To Solve An Onlne Control Polcy On A Vrtualzed Data Center Dynamc Resource Allocaton and Power Management n Vrtualzed Data Centers Rahul Urgaonkar, Ulas C. Kozat, Ken Igarash, Mchael J. Neely urgaonka@usc.edu, {kozat, garash}@docomolabs-usa.com, mjneely@usc.edu

More information

Device-to-Device (D2D) Communication in Cellular Network - Performance Analysis of Optimum and Practical Communication Mode Selection

Device-to-Device (D2D) Communication in Cellular Network - Performance Analysis of Optimum and Practical Communication Mode Selection Ths full text paper was peer revewed at the drecton of IEEE Communcatons Socety subect matter experts for publcaton n the WCNC 2010 proceedngs. Devce-to-Devce (D2D) Communcaton n Cellular Network - Performance

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

Marginal Returns to Education For Teachers

Marginal Returns to Education For Teachers The Onlne Journal of New Horzons n Educaton Volume 4, Issue 3 MargnalReturnstoEducatonForTeachers RamleeIsmal,MarnahAwang ABSTRACT FacultyofManagementand Economcs UnverstPenddkanSultan Idrs ramlee@fpe.ups.edu.my

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

On Secrecy Capacity Scaling in Wireless Networks

On Secrecy Capacity Scaling in Wireless Networks On Secrecy Capacty Scalng n Wreless Networks O. Ozan Koyluoglu, Student Member, IEEE, C. Emre Koksal, Member, IEEE, and esham El Gamal, Fellow, IEEE arxv:0908.0898v [cs.it] 0 Apr 00 Abstract Ths work studes

More information

Downlink Scheduling and Resource Allocation for OFDM Systems

Downlink Scheduling and Resource Allocation for OFDM Systems 288 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 8, NO. 1, JANUARY 2009 Downlnk Schedulng and Resource Allocaton for OFDM Systems Janwe Huang, Member, IEEE, Vjay G. Subramanan, Member, IEEE, Rajeev

More information

Adaptive Sampling for Energy Conservation in Wireless Sensor Networks for Snow Monitoring Applications

Adaptive Sampling for Energy Conservation in Wireless Sensor Networks for Snow Monitoring Applications Adaptve Samplng for Energy Conservaton n Wreless Sensor Networks for Snow Montorng Applcatons Cesare Alpp *, Guseppe Anastas, Crstan Galpert *, Francesca Mancn, Manuel Rover * * Dp. d Elettronca e Informazone

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

Multi-Resource Fair Allocation in Heterogeneous Cloud Computing Systems

Multi-Resource Fair Allocation in Heterogeneous Cloud Computing Systems 1 Mult-Resource Far Allocaton n Heterogeneous Cloud Computng Systems We Wang, Student Member, IEEE, Ben Lang, Senor Member, IEEE, Baochun L, Senor Member, IEEE Abstract We study the mult-resource allocaton

More information

SpeedBalance: Speed-Scaling-Aware Optimal Load Balancing for Green Cellular Networks

SpeedBalance: Speed-Scaling-Aware Optimal Load Balancing for Green Cellular Networks SpeedBalance: Speed-Scalng-Aware Optmal Load Balancng for Green Cellular Networks Kyuho Son and Bhaskar Krshnamachar Department of Electrcal Engneerng, Vterb School of Engneerng Unversty of Southern Calforna,

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

Throughput Analysis and Routing Security Discussions of Mobile Access Coordinated Wireless Sensor Networks

Throughput Analysis and Routing Security Discussions of Mobile Access Coordinated Wireless Sensor Networks Throughput Analyss and Routng Securty Dscussons of Moble Access Coordnated Wreless Sensor Networks Ma Abdelhakm Jan Ren Tongtong L Department of Electrcal & Computer Engneerng, Mchgan State Unversty, East

More information

Single and multiple stage classifiers implementing logistic discrimination

Single and multiple stage classifiers implementing logistic discrimination Sngle and multple stage classfers mplementng logstc dscrmnaton Hélo Radke Bttencourt 1 Dens Alter de Olvera Moraes 2 Vctor Haertel 2 1 Pontfíca Unversdade Católca do Ro Grande do Sul - PUCRS Av. Ipranga,

More information

Course outline. Financial Time Series Analysis. Overview. Data analysis. Predictive signal. Trading strategy

Course outline. Financial Time Series Analysis. Overview. Data analysis. Predictive signal. Trading strategy Fnancal Tme Seres Analyss Patrck McSharry patrck@mcsharry.net www.mcsharry.net Trnty Term 2014 Mathematcal Insttute Unversty of Oxford Course outlne 1. Data analyss, probablty, correlatons, vsualsaton

More information

V. Chandrasekhar. National Instruments, Austin, TX, USA E-mail: Vikram.Chandrasekhar@ni.com

V. Chandrasekhar. National Instruments, Austin, TX, USA E-mail: Vikram.Chandrasekhar@ni.com 28 Int. J. Embedded Systems, Vol. 3, No. 3, 2008 Reducng dynamc power consumpton n next generaton DS-CDMA moble communcaton recevers V. Chandrasekhar Natonal Instruments, Austn, TX, USA E-mal: Vkram.Chandrasekhar@n.com

More information

A system for real-time calculation and monitoring of energy performance and carbon emissions of RET systems and buildings

A system for real-time calculation and monitoring of energy performance and carbon emissions of RET systems and buildings A system for real-tme calculaton and montorng of energy performance and carbon emssons of RET systems and buldngs Dr PAAIOTIS PHILIMIS Dr ALESSADRO GIUSTI Dr STEPHE GARVI CE Technology Center Democratas

More information

Statistical Methods to Develop Rating Models

Statistical Methods to Develop Rating Models Statstcal Methods to Develop Ratng Models [Evelyn Hayden and Danel Porath, Österrechsche Natonalbank and Unversty of Appled Scences at Manz] Source: The Basel II Rsk Parameters Estmaton, Valdaton, and

More information

High Correlation between Net Promoter Score and the Development of Consumers' Willingness to Pay (Empirical Evidence from European Mobile Markets)

High Correlation between Net Promoter Score and the Development of Consumers' Willingness to Pay (Empirical Evidence from European Mobile Markets) Hgh Correlaton between et Promoter Score and the Development of Consumers' Wllngness to Pay (Emprcal Evdence from European Moble Marets Ths paper shows that the correlaton between the et Promoter Score

More information