ADVANCED APPLICATIONS OF ELECTRICAL ENGINEERING

Size: px
Start display at page:

Download "ADVANCED APPLICATIONS OF ELECTRICAL ENGINEERING"

Transcription

1 Development of a Software Tool for Performance Evaluation of MIMO OFDM Alamouti using a didactical Approach as a Educational and Research support in Wireless Communications JOSE CORDOVA, REBECA ESTRADA Electrical and Computer Engineering Faculty Escuela Superior Politecnica del Litoral - ESPOL Km Via Perimetral GUAYAQUIL - ECUADOR Abstract: - This paper presents the design and development of a software tool that helps to understand the Alamouti MIMO (Multiple Input Multiple Output) OFDM scheme, the tool is presented through some examples and simulation results of image transmission, giving an attractive and dynamic way through a graphical user interface to introduce the MIMO technique, the tool s objective is to increase the interest on this area of research particularly for the Wireless Communications courses at ESPOL, where students will be able to use this tool as a didactical support. Key-Words: - MIMO, OFDM, GUI, Alamouti, STC, Didactical Software Simulator, Wireless Communications. 1 Introduction The use of multiple antennas in wireless systems instead of a single antenna transmitter and single antenna receiver (referred as SISO Single Input Single Output) is now a topic of great interest and ongoing research, so this paper describes the design details of the system based on the techniques used at the transmitter and receiver and describes the graphic user interface (GUI) analyzing results obtained from the interface that was designed. Section 2 presents the Alamouti coding, this is the MIMO scheme to be used in the development of this system, this section focuses particularly on the spacetime coding [1] of data for the two antennas that it uses and the detection scheme. Section 3 gives implementation details of the system, including image signal processing which is the type of signal to work on simulation and also presents the design of the transmitter as well as the description of the receiver algorithm. Section 4 presents the results of the developed system, these results include screenshots of the GUI developed and details of the usability of the system, besides presenting the results in image format to identify the channel effects on the received images. 2 Alamouti STC S. Alamouti in [2] proposed a scheme of space-time block coding (STBC) [1] technique to achieve diversity transmission using two antennas at the transmitter and one antenna at the receiver, a 2x1 MIMO system. The transmission operation is explained in Table 2.1. INSTANT ANTENNA 1 ANTENNA 2 Table 2.1 Alamouti STC Scheme In this scheme we will assume that the channel is under flat fading and the channel also remains constant over two symbol times. The code generation matrix for the Alamouti scheme on transmission will be: (1) On (1), the first row of the S Matrix corresponds to the transmitting information on the Antenna 1 and the second row corresponds to the transmitting information on the Antenna 2. With the assumption that channel is under flat fading for the MIMO 2x1 configuration in study will be two different propagation trajectories for the channel: (2) ISSN: ISBN:

2 For each of the paths will have different and independent coefficients which represent the fading on each route: (3) (4) Then the corresponding system responses for each of the transmission instants are show on Table 2.2. TIME Table 2.2 Channel Response. RESPONSE Table 2.2 shows that at the receiver we will have to wait two symbol times to construct a reception vector, this reception vector is shown in (5). (5) For the channel Matrix H as is shown on (5) we will calculate the conjugated transpose: (6) With the matrix at (6) we will be able to multiply the received signal after the two symbols times with the matrix at (6) and we will have: (8) In (8) we can see that we already have estimated the transmitted symbols only with a scale factor produced by the channel and an additive term corresponding to white noise, we can recover the original signal with an ML (Maximum Likelihood) detector which will estimate the s signal. 3 MIMO OFDM Solution design 3.1 System Design specifications In the designed systems we have considered using images as the signals for transmission, so we have included a process for digitize those images. The MIMO technique will be the Alamouti encoding scheme described before, also we will implement the SISO system so we would be able to compare both systems. The Alamouti scheme will be evaluated using Orthogonal Frequency Division Multiplexing OFDM modulation; we will use the specifications in the Table 2.3. PARAMETER VALUE FFT Points 64 Number of Data Subcarriers 52 Number of Bits per Symbol 52 Cyclic Prefix 1/4, 16 symbols Total Number of Subcarriers 64 Guard + Symbol 80 Zero Padding 12 symbols Table 2.3 OFDM Specifications The main focus of the simulator will not be to evaluate the OFDM performance; so the parameters specified in Table 2.3 will remain with no changes and also it is assumed that receiver has full Channel State Information (CSI) in order to focus on the Alamouti performance. OFDM detection is based on frequency domain equalization as its explained in [3], the detection scheme for Alamouti coding presented in the past section assumed that channel is under flat fading, in this design we will use the combination of MIMO Alamouti with OFDM. OFDM converts a frequency selective channel into a set of parallel flat fading channels [3, 4]; with this collection of channels the detection scheme for Alamouti could be used in each of the flat channels. 3.1 Simulation details Image processing For the simulation system we have considered processing an image signal, the processing of the image signal prior to use this signal on the MIMO OFDM system is shown in the Figure 3.1. which describes the use of MATLAB [5] function imread, this function digitalizes the image, the process as is shown operates with a JPG 1 file and the resulting signal is a variable in RGB format, as is shown will 1 Joint Photographic Experts Group Image Format ISSN: ISBN:

3 be one matrix for each of the colors of RGB format (Red, Green, Blue). Then we will have that height and width of the image will be the number of rows and columns of each of the resulting matrices and each image color pixel will be represented by the three corresponding values of the elements of the three matrices describing each pixel within its composition of Red, Green and Blue respectively. original matrix but is ready to be mapped into symbols using a BPSK 2 modulation scheme. Having the modulated symbols, these are ready to be assembled into OFDM symbols according to the specifications, in Figure 3.2 is shown the modulation process mentioned before and additionally is represented the symbol formation including zero padding. Each of the matrix s rows represents one OFDM forming symbol at the frequency domain. Figure 3.1 Each element of each RGB matrix will be a value between 0 and 255 which determines the quantity of red, blue and green of the pixel s composition. We will now obtain a binary representation of each of the values for each of the matrices, then, if the image size is MxN pixels, the total of bits for the binary representation will be MxNx3x8, this is because each value between 0 and 255 will need 8 bits to digitize on each of the three matrices. In order to reduce simulation times, our system is designed for processing black and white images, this is why after digitizing the image, using imread, the resulting signal will be converted into a black and white (B/W) signal as Figure 3.1 also describes. Then the resultant signal will be a single binary matrix which will represent the image in B/W format, this signal-variable is then ready for processing in our system Transmission process description The transmission process is the major focus on the system developing; the transmitter will include the space-time encoder which will prepare the system for MIMO transmission. The digitized image signal will be transformed into a long vector which contains the same information that Figure 3.2 The set of symbols must be processed with a spacetime encoder, the Figure 3.3 shows the Alamouti coding process, each matrix in the figure represents the set of coded signals that will be transmitted in each of the transmitting antennas. With the set of symbols coded for each antenna those symbols continues with the OFDM modulation process, IFFT symbol conversion from frequency to time and Cyclic Prefix insertion, as shown in Figure 3.4. Numero de Simbolos Puntos FFT s1 s2 s3 s4. sn STC Figure 3.3 Antena 1 Antena 2 2 Binary Phase Shift Keying Numero de Simbolos Numero de Simbolos Puntos FFT Puntos FFT s1 -s2* s3 -s4*. s2 s1* s4 s3*. ISSN: ISBN:

4 The channel model depends on the number of symbols; this condition will allow keeping multipath fading independent from each symbol and from each antenna. Receiver analysis and signal recovering is based on the inverse process of the OFDM modulation described before, removing the cyclic prefix and taking back the signal to frequency domain using FFT is performed prior to apply the channel considerations and detection scheme for Alamouti stated at section 2, after Alamouti detection symbols are disassembled removing zero padding and then BPSK demodulation finally recovers the original image. In Figure 4.1 (a) is shown the Graphic User Interface developed for the system, in detail (b) shows the interface created for the user selection of the image to use in the simulation and the corresponding control to change the noise relation, also a graphic representation of the noise is presented. In (c) are shown the controls for setting multipath channel parameters which allows changing between multipath and AWGN 3 only, flat fading and frequency selective fading and the number of taps for the frequency selective fading. (a) GUI for Simulator Figure Graphic User Interface and Applications The developed system will be didactical Support tool for the Wireless Communications courses at the particular case of ESPOL, students who takes these courses are not familiarized with current techniques for signal processing in communications like OFDM or in MIMO, so developing a graphic tool will help not only for improve the learning of students but also for create interest in new topics of wireless communications improving the educational and research capacity at ESPOL. The system focuses on demonstrate and evaluate the performance of Alamouti scheme in a wireless link, the idea is to keep the algorithm and usability of the system the simplest, this will allow users to focus on the application of the theory demonstrated in section 2. (b) Signal selection and Noise variance, (c) Multipath fading parameter setting. Figure Additive White Gaussian Noise ISSN: ISBN:

5 After running the simulation with the transmission control another graphic panel is activated for results analysis in the Figure 4.1 is a screen capture where can be seen the image processing details and the corresponding buttons for showing the original image before transmission, the recovered image and the contrast for identifying errors. Figure 4.3 (b) B/W digitized Image. (a) MIMO OFDM results panel, In the panel described before can be evaluated the results according to the image transmitted, as an example in figure 4.3 (a) is shown the original image with JPG color format, in (b) is shown the MATLAB digitized version of the image, as explained in section that image is in black and white format. (b) OFDM result details Figure 4.2 In Figure 4.2 (a) can be seen the quantity of bit errors, BER 4 and simulation time of MIMO OFDM system, in (b) is shown the same information for the OFDM system, users will see that using MIMO Decreases the error rate to one third of the original (a) Recovered Image with OFDM (a) Original JPG color Image, 4 Bit Error Rate Figure 4.4 (b) Recovered Image with MIMO OFDM. In figure 4.4 (a) is shown the recovered image using OFDM and (b) the recovered image using MIMO OFDM where you can identify graphically the improvement within the use of MIMO versus not using it. ISSN: ISBN:

6 Figure 4.5 shows the representation of channel that is available in GUI, as an example is shown a flat fading channel in time and frequency domain, and a 10-tap frequency selective channel, this graphics have didactical purposes and corresponds to the actual simulated channel at different instants of time. A very important approach is the evaluation of the results in BER vs. SNR plots so as can be seen in Figure 4.6 (a) the evaluation of the OFDM system, blue line, the MIMO OFDM system, cyan line, both evaluated under multipath fading, the green line corresponds to evaluation of the system without multipath fading which is only under AWGN, the users of the simulator would generate these plots and recognize the effect of the different system parameters. which is wrong to conclude since no corrections have been made for power. With the correct power adjustment, we can obtain the plot shown in Figure 4.6 (c), where can be seen that MIMO OFDM BER curve follows the same trend with the change in the number of channel taps, this plot will lead the users to the right conclusions and to determine why Figure 4.6 (b) is incorrect. (a) OFDM SISO, MIMO OFDM Alamouti, AWGN MIMO OFDM (a) Frequency Selective Fading, (b) MIMO OFDM without Power adjustment from 1-10taps, (b) Flat fading. Figure 4.5 GUI representations. In figure 4.6 (b) is shown the effect of power correction and adjustment that is necessary for channel based on number of taps and number of transmitting antennas, with a didactical approach users would understand that to evaluate two systems MIMO versus SISO they have to be under the same power conditions, In the plot is shown that apparently as the number of taps increase the BER curve improves its behavior under multipath noisy channel (c) MIMO OFDM with Power adjustment from 1-10taps. Figure 4.6 ISSN: ISBN:

7 5 Conclusions and Future Work This work has achieved its goal of serving as a support tool, has developed a friendly interface that is used to help increase the capacity of education and development of young researchers with simple examples, keeping a simple approach can identify and evaluate a complex system which is attractive to students. Moreover the developed system focuses fairly according to the results in evaluating the performance of MIMO technology and provides guidance in the understanding of these concepts in a graphical way and practice to students, as well as variants such as those related to adjustment of power demonstrate the great ability to support education in wireless communications. The platform developed not only serves as a support tool but also could be used in implementation, we are currently in the development of the physical evaluation of this system which is based on transmitting the signals generated in the simulation with MATLAB and then use the detection algorithm also used in the simulation, this scheme is known as "Offline Test bed," our future work will focus on evaluating the testbed and MIMO channel estimation. References: [1] A.B. Gershman, N. D. Sidiropoulus, Space-Time Processing for MIMO Communications, Wiley,2005. [2] S. M. Alamouti, A Simple Transmit Diversity Technique for Wireless Communications, IEEE Journal on Select Areas in Communications, vol. 16, no. 8, Oct [3] Y. Li and G. L. Stüber, Orthogonal Frequency Division Multiplexing for Wireless Communications, Springer, [4] H. Bolcskei, D. Gesbert, and A. J. Paulraj, On the capacity of OFDM-based spatial multiplexing systems, IEEE Trans. Commun., vol. 50, no. 2, pp. 225{234, Feb [5] MATLAB, Online Reference Guide, c/matlab.shtml. ISSN: ISBN:

PAPR and Bandwidth Analysis of SISO-OFDM/WOFDM and MIMO OFDM/WOFDM (Wimax) for Multi-Path Fading Channels

PAPR and Bandwidth Analysis of SISO-OFDM/WOFDM and MIMO OFDM/WOFDM (Wimax) for Multi-Path Fading Channels PAPR and Bandwidth Analysis of SISO-OFDM/WOFDM and MIMO OFDM/WOFDM (Wimax) for Multi-Path Fading Channels Ahsan Adeel Lecturer COMSATS Institute of Information Technology Islamabad Raed A. Abd-Alhameed

More information

Log-Likelihood Ratio-based Relay Selection Algorithm in Wireless Network

Log-Likelihood Ratio-based Relay Selection Algorithm in Wireless Network Recent Advances in Electrical Engineering and Electronic Devices Log-Likelihood Ratio-based Relay Selection Algorithm in Wireless Network Ahmed El-Mahdy and Ahmed Walid Faculty of Information Engineering

More information

IMPROVED CHANNEL ESTIMATION FOR OFDM SYSTEMS IN QUASI-STATIC CHANNELS

IMPROVED CHANNEL ESTIMATION FOR OFDM SYSTEMS IN QUASI-STATIC CHANNELS IMPROVED CHANNEL ESTIMATION FOR OFDM SYSTEMS IN QUASI-STATIC CHANNELS Mo Zhu, Adegbenga B. Awoseyila and Barry G. Evans Centre for Communication Systems Research (CCSR) University of Surrey, Guildford,

More information

MATLAB in Digital Signal Processing and Communications

MATLAB in Digital Signal Processing and Communications MATLAB in Digital Signal Processing and Communications Jan Mietzner (janm@ece.ubc.ca) MATLAB Tutorial October 15, 2008 Objective and Focus Focus Learn how MATLAB can be used efficiently in order to perform

More information

Joint Optimal Pilot Placement and Space Frequency (SF) Code Design for MIMO-OFDM Systems

Joint Optimal Pilot Placement and Space Frequency (SF) Code Design for MIMO-OFDM Systems Joint Optimal Pilot Placement and Space Frequency (SF) Code Design for MIMO- Systems Saurav K. Bandyopadhyay W&W Communications Inc. 640 W. California Avenue Sunnyvale, CA 94086 USA Srinivas Prasad D.

More information

PERFORMANCE ANALYSIS OF MC-CDMA OVER DIFFERENT FADING CHANNELS

PERFORMANCE ANALYSIS OF MC-CDMA OVER DIFFERENT FADING CHANNELS PERFORMANCE ANALYSIS OF MC-CDMA OVER DIFFERENT FADING CHANNELS Vinita 1, Amita Soni 2 1M.Tech. Student, Electronics & Communication, PEC University of Technology, Chandigarh, India 2Assistant Professor,

More information

BEST RELAY SELECTION METHOD FOR DETECT AND FORWARD AIDED COOPERATIVE WIRELESS NETWORK

BEST RELAY SELECTION METHOD FOR DETECT AND FORWARD AIDED COOPERATIVE WIRELESS NETWORK BEST RELAY SELECTION METHOD FOR DETECT AND FORWARD AIDED COOPERATIVE WIRELESS NETWORK Nithin S. and M. Kannan Department of Electronics Engineering, Madras Institute of Technology, Anna University, Chennai,

More information

International Journal of Computer Sciences and Engineering. Research Paper Volume-4, Issue-4 E-ISSN: 2347-2693

International Journal of Computer Sciences and Engineering. Research Paper Volume-4, Issue-4 E-ISSN: 2347-2693 International Journal of Computer Sciences and Engineering Open Access Research Paper Volume-4, Issue-4 E-ISSN: 2347-2693 PAPR Reduction Method for the Localized and Distributed DFTS-OFDM System Using

More information

INTER CARRIER INTERFERENCE CANCELLATION IN HIGH SPEED OFDM SYSTEM Y. Naveena *1, K. Upendra Chowdary 2

INTER CARRIER INTERFERENCE CANCELLATION IN HIGH SPEED OFDM SYSTEM Y. Naveena *1, K. Upendra Chowdary 2 ISSN 2277-2685 IJESR/June 2014/ Vol-4/Issue-6/333-337 Y. Naveena et al./ International Journal of Engineering & Science Research INTER CARRIER INTERFERENCE CANCELLATION IN HIGH SPEED OFDM SYSTEM Y. Naveena

More information

A Performance Study of Wireless Broadband Access (WiMAX)

A Performance Study of Wireless Broadband Access (WiMAX) A Performance Study of Wireless Broadband Access (WiMAX) Maan A. S. Al-Adwany Department of Computer & Information Engineering, College of Electronics Engineering University of Mosul Mosul, Iraq maanaladwany@yahoo.com

More information

MIMO Antenna Systems in WinProp

MIMO Antenna Systems in WinProp MIMO Antenna Systems in WinProp AWE Communications GmbH Otto-Lilienthal-Str. 36 D-71034 Böblingen mail@awe-communications.com Issue Date Changes V1.0 Nov. 2010 First version of document V2.0 Feb. 2011

More information

MIMO detector algorithms and their implementations for LTE/LTE-A

MIMO detector algorithms and their implementations for LTE/LTE-A GIGA seminar 11.01.2010 MIMO detector algorithms and their implementations for LTE/LTE-A Markus Myllylä and Johanna Ketonen 11.01.2010 2 Outline Introduction System model Detection in a MIMO-OFDM system

More information

Time and Frequency Domain Equalization

Time and Frequency Domain Equalization Time and Frequency Domain Equalization Presented By: Khaled Shawky Hassan Under Supervision of: Prof. Werner Henkel Introduction to Equalization Non-ideal analog-media such as telephone cables and radio

More information

Performance of Multicast MISO-OFDM Systems

Performance of Multicast MISO-OFDM Systems Performance of Multicast MISO-OFDM Systems Didier Le Ruyet Electronics and Communications Lab CNAM, 292 rue Saint Martin 75141, Paris, France Email: leruyet@cnamfr Berna Özbek Electrical and Electronics

More information

IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 55, NO. 1, JANUARY 2007 341

IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 55, NO. 1, JANUARY 2007 341 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 55, NO. 1, JANUARY 2007 341 Multinode Cooperative Communications in Wireless Networks Ahmed K. Sadek, Student Member, IEEE, Weifeng Su, Member, IEEE, and K.

More information

Optimized Iterative Clipping and Filtering for PAPR Reduction of OFDM Signals

Optimized Iterative Clipping and Filtering for PAPR Reduction of OFDM Signals International Journal of Engineering and Technical Research (IJETR) ISSN: 2321-0869, Volume-2, Issue-6, June 2014 Optimized Iterative Clipping and Filtering for PAPR Reduction of OFDM Signals Priyanka

More information

Wireless Broadband with 802.16/WiMax: Current Performance and Future Potential

Wireless Broadband with 802.16/WiMax: Current Performance and Future Potential Wireless Broadband with 802.16/WiMax: Current Performance and Future Potential Dr. Jeffrey G. Andrews Wireless Networking and Comm. Group (WNCG) Dept. of Electrical and Comp. Engr. The Univ. of Texas at

More information

Efficient Data Recovery scheme in PTS-Based OFDM systems with MATRIX Formulation

Efficient Data Recovery scheme in PTS-Based OFDM systems with MATRIX Formulation Efficient Data Recovery scheme in PTS-Based OFDM systems with MATRIX Formulation Sunil Karthick.M PG Scholar Department of ECE Kongu Engineering College Perundurau-638052 Venkatachalam.S Assistant Professor

More information

802.11A - OFDM PHY CODING AND INTERLEAVING. Fernando H. Gregorio. Helsinki University of Technology

802.11A - OFDM PHY CODING AND INTERLEAVING. Fernando H. Gregorio. Helsinki University of Technology 802.11A - OFDM PHY CODING AND INTERLEAVING Fernando H. Gregorio Helsinki University of Technology Signal Processing Laboratory, POB 3000, FIN-02015 HUT, Finland E-mail:gregorio@wooster.hut.fi 1. INTRODUCTION

More information

Behaviour of OFDM System using MATLAB Simulation

Behaviour of OFDM System using MATLAB Simulation Behaviour of OFDM System using MATLAB Simulation S.S.Ghorpade 1, S.V.Sankpal 2 Abstract Orthogonal Frequency Division Multiplexing (OFDM) is mainly designed to combat the effect of multipath reception,

More information

Department of Electrical and Computer Engineering Ben-Gurion University of the Negev. LAB 1 - Introduction to USRP

Department of Electrical and Computer Engineering Ben-Gurion University of the Negev. LAB 1 - Introduction to USRP Department of Electrical and Computer Engineering Ben-Gurion University of the Negev LAB 1 - Introduction to USRP - 1-1 Introduction In this lab you will use software reconfigurable RF hardware from National

More information

Module: Digital Communications. Experiment 784. DSL Transmission. Institut für Nachrichtentechnik E-8 Technische Universität Hamburg-Harburg

Module: Digital Communications. Experiment 784. DSL Transmission. Institut für Nachrichtentechnik E-8 Technische Universität Hamburg-Harburg Module: Digital Communications Experiment 784 DSL Transmission Institut für Nachrichtentechnik E-8 Technische Universität Hamburg-Harburg ii Table of Contents Introduction... 1 1 The DSL System... 2 1.1

More information

Errata Introduction to Wireless Systems P. Mohana Shankar. Page numbers are shown in blue Corrections are shown in red.

Errata Introduction to Wireless Systems P. Mohana Shankar. Page numbers are shown in blue Corrections are shown in red. Errata Introduction to Wireless Systems P. Mohana Shankar Page numbers are shown in blue Corrections are shown in red February 25 Page 11 below Figure 2.4 The power detected by a typical receiver is shown

More information

Total Inter-Carrier Interference Cancellation for MC-CDMA System in Mobile Environment

Total Inter-Carrier Interference Cancellation for MC-CDMA System in Mobile Environment Total Inter-Carrier Interference Cancellation for MC-CDMA System in Mobile Environment Xue Li 1, Ruolin Zhou 1, Steven Hong 2, and Zhiqiang Wu 1 Dept of EE, Wright State University 1, Dept of EE, Stanford

More information

Capacity Limits of MIMO Channels

Capacity Limits of MIMO Channels Tutorial and 4G Systems Capacity Limits of MIMO Channels Markku Juntti Contents 1. Introduction. Review of information theory 3. Fixed MIMO channels 4. Fading MIMO channels 5. Summary and Conclusions References

More information

Rapid MIMO-OFDM Software Defined Radio System Prototyping

Rapid MIMO-OFDM Software Defined Radio System Prototyping Rapid MIMO-OFDM Software Defined Radio System Prototyping Amit Gupta, Antonio Forenza, and Robert W. Heath Jr. Wireless Networking and Communications Group Department of Electrical and Computer Engineering,

More information

Iterative Channel Estimation for MIMO MC-CDMA

Iterative Channel Estimation for MIMO MC-CDMA Iterative Channel Estimation for MIMO MC-CDMA Stephan Sand, Ronald Raulefs, and Armin Dammann (DLR) 2 nd COST 289 Workshop, Antalya, Turkey, 6 th July Outline System model Frame structure Pilot aided channel

More information

Introduction to Wireless LAN Measurements

Introduction to Wireless LAN Measurements Introduction to Wireless LAN Measurements Introduction to Wireless LAN Measurements 1 Table of Contents 1. History of Wireless LAN... 3 2. WLAN Physical Layer Characteristics... 5 Bands and Channels...5

More information

Pilot-assisted Channel Estimation Without Feedback for Bi-directional Broadband ANC

Pilot-assisted Channel Estimation Without Feedback for Bi-directional Broadband ANC 2011 17th Asia-Pacific Conference on Communications APCC) 2nd 5th October 2011 Sutera Harbour Resort, Kota Kinabalu, Sabah, Malaysia Pilot-assisted Channel Estimation Without Feedback for Bi-directional

More information

Optimum Frequency-Domain Partial Response Encoding in OFDM System

Optimum Frequency-Domain Partial Response Encoding in OFDM System 1064 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL 51, NO 7, JULY 2003 Optimum Frequency-Domain Partial Response Encoding in OFDM System Hua Zhang and Ye (Geoffrey) Li, Senior Member, IEEE Abstract Time variance

More information

EFFECTIVE CHANNEL STATE INFORMATION (CSI) FEEDBACK FOR MIMO SYSTEMS IN WIRELESS BROADBAND COMMUNICATIONS

EFFECTIVE CHANNEL STATE INFORMATION (CSI) FEEDBACK FOR MIMO SYSTEMS IN WIRELESS BROADBAND COMMUNICATIONS EFFECTIVE CHANNEL STATE INFORMATION (CSI) FEEDBACK FOR MIMO SYSTEMS IN WIRELESS BROADBAND COMMUNICATIONS Maneesha Sharma Bachelor of Engineering Principal Supervisor: Dr. Karla Ziri-Castro Associate Supervisor:

More information

Multihopping for OFDM based Wireless Networks

Multihopping for OFDM based Wireless Networks Multihopping for OFDM based Wireless Networks Jeroen Theeuwes, Frank H.P. Fitzek, Carl Wijting Center for TeleInFrastruktur (CTiF), Aalborg University Neils Jernes Vej 12, 9220 Aalborg Øst, Denmark phone:

More information

ISI Mitigation in Image Data for Wireless Wideband Communications Receivers using Adjustment of Estimated Flat Fading Errors

ISI Mitigation in Image Data for Wireless Wideband Communications Receivers using Adjustment of Estimated Flat Fading Errors International Journal of Engineering and Management Research, Volume-3, Issue-3, June 2013 ISSN No.: 2250-0758 Pages: 24-29 www.ijemr.net ISI Mitigation in Image Data for Wireless Wideband Communications

More information

PERFORMANCE ANALYSIS OF CLIPPED STBC CODED MIMO OFDM SYSTEM

PERFORMANCE ANALYSIS OF CLIPPED STBC CODED MIMO OFDM SYSTEM International Journal of Electronics and Communication Engineering & Technology (IJECET) Volume 7, Issue 1, Jan-Feb 2016, pp. 28-44, Article ID: IJECET_07_01_004 Available online at http://www.iaeme.com/ijecet/issues.asp?jtype=ijecet&vtype=7&itype=1

More information

Hot Issues in Wireless Broadband Networking

Hot Issues in Wireless Broadband Networking Hot Issues in Wireless Broadband Networking Raj Jain Washington University in Saint Louis Saint Louis, MO 63131 Jain@wustl.edu These slides are available on-line at: http://www.cse.wustl.edu/~jain/talks/oe06.htm

More information

Non-Data Aided Carrier Offset Compensation for SDR Implementation

Non-Data Aided Carrier Offset Compensation for SDR Implementation Non-Data Aided Carrier Offset Compensation for SDR Implementation Anders Riis Jensen 1, Niels Terp Kjeldgaard Jørgensen 1 Kim Laugesen 1, Yannick Le Moullec 1,2 1 Department of Electronic Systems, 2 Center

More information

Two-slot Channel Estimation for Analog Network Coding Based on OFDM in a Frequency-selective Fading Channel

Two-slot Channel Estimation for Analog Network Coding Based on OFDM in a Frequency-selective Fading Channel Two-slot Channel Estimation for Analog Network Coding Bed on OFDM in a Frequency-selective Fading Channel Tom Sjödin Department of Computing Science Umeå University SE-901 87 Umeå Sweden Haris Gacanin

More information

MIMO CHANNEL CAPACITY

MIMO CHANNEL CAPACITY MIMO CHANNEL CAPACITY Ochi Laboratory Nguyen Dang Khoa (D1) 1 Contents Introduction Review of information theory Fixed MIMO channel Fading MIMO channel Summary and Conclusions 2 1. Introduction The use

More information

Outlines. LECTURE 3: Wireless Transmission Technologies. Wireless Transmission on Unguided Media

Outlines. LECTURE 3: Wireless Transmission Technologies. Wireless Transmission on Unguided Media LECTURE 3: Wireless Transmission Technologies CIS 472 Wireless Communications and Networks Winter 2016 Instructor: Dr. Song Xing Outlines Wireless Data Transmission Modulation Spread Spectrum Department

More information

Implementation of Digital Signal Processing: Some Background on GFSK Modulation

Implementation of Digital Signal Processing: Some Background on GFSK Modulation Implementation of Digital Signal Processing: Some Background on GFSK Modulation Sabih H. Gerez University of Twente, Department of Electrical Engineering s.h.gerez@utwente.nl Version 4 (February 7, 2013)

More information

Adaptive Equalization of binary encoded signals Using LMS Algorithm

Adaptive Equalization of binary encoded signals Using LMS Algorithm SSRG International Journal of Electronics and Communication Engineering (SSRG-IJECE) volume issue7 Sep Adaptive Equalization of binary encoded signals Using LMS Algorithm Dr.K.Nagi Reddy Professor of ECE,NBKR

More information

A WEB BASED TRAINING MODULE FOR TEACHING DIGITAL COMMUNICATIONS

A WEB BASED TRAINING MODULE FOR TEACHING DIGITAL COMMUNICATIONS A WEB BASED TRAINING MODULE FOR TEACHING DIGITAL COMMUNICATIONS Ali Kara 1, Cihangir Erdem 1, Mehmet Efe Ozbek 1, Nergiz Cagiltay 2, Elif Aydin 1 (1) Department of Electrical and Electronics Engineering,

More information

Multiuser Communications in Wireless Networks

Multiuser Communications in Wireless Networks Multiuser Communications in Wireless Networks Instructor Antti Tölli Centre for Wireless Communications (CWC), University of Oulu Contact e-mail: antti.tolli@ee.oulu.fi, tel. +358445000180 Course period

More information

The Boonton USB Peak Power Sensor, Wi-Fi ac Signals and the ETSI EN Standard

The Boonton USB Peak Power Sensor, Wi-Fi ac Signals and the ETSI EN Standard Application Note The Boonton 55006 USB Peak Power Sensor, Wi-Fi 802.11ac Signals and the ETSI EN 300 328 Standard Stephen Shaw Applications Engineer, Boonton Electronics Abstract This application note

More information

MIMO: What shall we do with all these degrees of freedom?

MIMO: What shall we do with all these degrees of freedom? MIMO: What shall we do with all these degrees of freedom? Helmut Bölcskei Communication Technology Laboratory, ETH Zurich June 4, 2003 c H. Bölcskei, Communication Theory Group 1 Attributes of Future Broadband

More information

Digital Modulation. David Tipper. Department of Information Science and Telecommunications University of Pittsburgh. Typical Communication System

Digital Modulation. David Tipper. Department of Information Science and Telecommunications University of Pittsburgh. Typical Communication System Digital Modulation David Tipper Associate Professor Department of Information Science and Telecommunications University of Pittsburgh http://www.tele.pitt.edu/tipper.html Typical Communication System Source

More information

Fading multipath radio channels

Fading multipath radio channels Fading multipath radio channels Narrowband channel modelling Wideband channel modelling Wideband WSSUS channel (functions, variables & distributions) Low-pass equivalent (LPE) signal ( ) = Re ( ) s t RF

More information

Steganography in OFDM Symbols of Fast IEEE 802.11n Networks

Steganography in OFDM Symbols of Fast IEEE 802.11n Networks 2013 IEEE Security and Privacy Workshops Steganography in OFDM Symbols of Fast IEEE 802.11n Networks Szymon Grabski, Krzysztof Szczypiorski Institute of Telecommunications Warsaw University of Technology

More information

QAM Demodulation. Performance Conclusion. o o o o o. (Nyquist shaping, Clock & Carrier Recovery, AGC, Adaptive Equaliser) o o. Wireless Communications

QAM Demodulation. Performance Conclusion. o o o o o. (Nyquist shaping, Clock & Carrier Recovery, AGC, Adaptive Equaliser) o o. Wireless Communications 0 QAM Demodulation o o o o o Application area What is QAM? What are QAM Demodulation Functions? General block diagram of QAM demodulator Explanation of the main function (Nyquist shaping, Clock & Carrier

More information

BER Performance Analysis of SSB-QPSK over AWGN and Rayleigh Channel

BER Performance Analysis of SSB-QPSK over AWGN and Rayleigh Channel Performance Analysis of SSB-QPSK over AWGN and Rayleigh Channel Rahul Taware ME Student EXTC Department, DJSCOE Vile-Parle (W) Mumbai 056 T. D Biradar Associate Professor EXTC Department, DJSCOE Vile-Parle

More information

Noise Power and SNR Estimation for OFDM Based Wireless Communication Systems

Noise Power and SNR Estimation for OFDM Based Wireless Communication Systems Noise Power and SNR Estimation for OFDM Based Wireless Communication Systems Hüseyin Arslan Department of Electrical Engineering University of South Florida 422 E. Fowler Avenue Tampa, FL- 3362-535, USA

More information

The Advantages of SOFDMA for WiMAX

The Advantages of SOFDMA for WiMAX The Advantages of SOFDMA for WiMAX Vladimir Bykovnikov Intel Corporation Abstract SOFDMA has several advantages when used in NLOS wireless networks. The paper outlines these advantages and shows the evolutionary

More information

NAVAL POSTGRADUATE SCHOOL THESIS

NAVAL POSTGRADUATE SCHOOL THESIS NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA THESIS BLIND EQUALIZATION AND FADING CHANNEL SIGNAL RECOVERY OF OFDM MODULATION by Anthony G. Stranges March 2011 Thesis Co-Advisors: Roberto Cristi Frank

More information

4 Digital Video Signal According to ITU-BT.R.601 (CCIR 601) 43

4 Digital Video Signal According to ITU-BT.R.601 (CCIR 601) 43 Table of Contents 1 Introduction 1 2 Analog Television 7 3 The MPEG Data Stream 11 3.1 The Packetized Elementary Stream (PES) 13 3.2 The MPEG-2 Transport Stream Packet.. 17 3.3 Information for the Receiver

More information

HD Radio FM Transmission System Specifications

HD Radio FM Transmission System Specifications HD Radio FM Transmission System Specifications Rev. E January 30, 2008 Doc. No. SY_SSS_1026s TRADEMARKS The ibiquity Digital logo and ibiquity Digital are registered trademarks of ibiquity Digital Corporation.

More information

The Multiple-Input Multiple-Output Systems in Slow and Fast Varying Radio Channels

The Multiple-Input Multiple-Output Systems in Slow and Fast Varying Radio Channels AGH University of Science and Technology Faculty of Electrical Engineering, Automatics, Computer Science and Electronics Ph.D. Thesis Paweł Kułakowski The Multiple-Input Multiple-Output Systems in Slow

More information

LTE UE RF measurements An introduction and overview

LTE UE RF measurements An introduction and overview An introduction and overview February 2010 Andreas Roessler Andreas.Roessler@rohde-schwarz.com Technology Manager North America Rohde & Schwarz, Germany Guenter Pfeifer Guenter.Pfeifer@rohde-schwarz.com

More information

An Investigation into Time-Domain Approach for OFDM Channel Estimation

An Investigation into Time-Domain Approach for OFDM Channel Estimation 240 IEEE TRANSACTIONS ON BROADCASTING, VOL. 46, NO. 4, DECEMBER 2000 An Investigation into Time-Domain Approach for OFDM Channel Estimation Hlaing Minn, Student Member and Vijay K. Bhargava, Fellow, IEEE

More information

4G Wireless Technology

4G Wireless Technology 4G Wireless Technology Airspan Technical Symposium May 3, 2010 By Donn Swedenburg and Mark T. Pflum RVW, Inc. (402)564-2876 1 4G Wireless TOPICS 4G Wireless Definition Technologies used in 4G Pre-4G Real

More information

SC-FDMA and LTE Uplink Physical Layer Design

SC-FDMA and LTE Uplink Physical Layer Design Seminar Ausgewählte Kapitel der Nachrichtentechnik, WS 29/21 LTE: Der Mobilfunk der Zukunft SC-FDMA and LTE Uplink Physical Layer Design Burcu Hanta 2. December 29 Abstract The Long Term Evolution (LTE)

More information

Proposal of Adaptive Downlink Modulation Using OFDM and MC-CDMA for Future Mobile Communications System

Proposal of Adaptive Downlink Modulation Using OFDM and MC-CDMA for Future Mobile Communications System Proposal of Adaptive Downlink Modulation Using and MC-CDMA for Future Mobile Communications System Masato FURUDATE, Takeo OHSEKI, Hiroyasu ISHIKAWA, and Hideyuki SHINONAGA YRP Research Center, KDDI R&D

More information

Lezione 6 Communications Blockset

Lezione 6 Communications Blockset Corso di Tecniche CAD per le Telecomunicazioni A.A. 2007-2008 Lezione 6 Communications Blockset Ing. Marco GALEAZZI 1 What Is Communications Blockset? Communications Blockset extends Simulink with a comprehensive

More information

PHASE ESTIMATION ALGORITHM FOR FREQUENCY HOPPED BINARY PSK AND DPSK WAVEFORMS WITH SMALL NUMBER OF REFERENCE SYMBOLS

PHASE ESTIMATION ALGORITHM FOR FREQUENCY HOPPED BINARY PSK AND DPSK WAVEFORMS WITH SMALL NUMBER OF REFERENCE SYMBOLS PHASE ESTIMATION ALGORITHM FOR FREQUENCY HOPPED BINARY PSK AND DPSK WAVEFORMS WITH SMALL NUM OF REFERENCE SYMBOLS Benjamin R. Wiederholt The MITRE Corporation Bedford, MA and Mario A. Blanco The MITRE

More information

18-759: Wireless Networks Lecture 18: Cellular. Overview

18-759: Wireless Networks Lecture 18: Cellular. Overview 18-759: Wireless Networks Lecture 18: Cellular Peter Steenkiste Departments of Computer Science and Electrical and Computer Engineering Spring Semester 2010 http://www.cs.cmu.edu/~prs/wirelesss10/ Peter

More information

Whitepaper. 802.11n The Next Generation in Wireless Technology

Whitepaper. 802.11n The Next Generation in Wireless Technology Whitepaper 802.11n The Next Generation in Wireless Technology Introduction Wireless technology continues to evolve and add value with its inherent characteristics. First came 802.11, then a & b, followed

More information

Pointers on using the 5GHz WiFi bands

Pointers on using the 5GHz WiFi bands Pointers on using the 5GHz WiFi bands Legalities In the UK, there are two main types of radio devices that use the 5GHz frequency bands. The most common are those devices that conform to the 11a standard.

More information

A REAL-TIME EMBEDDED SOFTWARE IMPLEMENTATION OF A TURBO ENCODER AND SOFT OUTPUT VITERBI ALGORITHM BASED TURBO DECODER

A REAL-TIME EMBEDDED SOFTWARE IMPLEMENTATION OF A TURBO ENCODER AND SOFT OUTPUT VITERBI ALGORITHM BASED TURBO DECODER A REAL-TIME EMBEDDED SOFTWARE IMPLEMENTATION OF A TURBO ENCODER AND SOFT OUTPUT VITERBI ALGORITHM BASED TURBO DECODER M. Farooq Sabir, Rashmi Tripathi, Brian L. Evans and Alan C. Bovik Dept. of Electrical

More information

MODULATION Systems (part 1)

MODULATION Systems (part 1) Technologies and Services on Digital Broadcasting (8) MODULATION Systems (part ) "Technologies and Services of Digital Broadcasting" (in Japanese, ISBN4-339-62-2) is published by CORONA publishing co.,

More information

Complexity Reduction of Matrix Manipulation for Multi-User STBC-MIMO Decoding

Complexity Reduction of Matrix Manipulation for Multi-User STBC-MIMO Decoding Complexity Reduction of Matrix Manipulation for Multi-User STBC-MIMO Decoding Johan Eilert, Di Wu and Dake Liu Linköping University Department of Electrical Engineering Linköping, 58 83, Sweden Email:

More information

Evolution of the Air Interface From 2G Through 4G and Beyond

Evolution of the Air Interface From 2G Through 4G and Beyond Evolution of the Air Interface From 2G Through 4G and Beyond Presentation to IEEE Ottawa Section / Alliance of IEEE Consultants Network (AICN) - 2nd May 2012 Frank Rayal BLiNQ Networks/ Telesystem Innovations

More information

RF Channel Characterization for 4G MIMO deployment

RF Channel Characterization for 4G MIMO deployment White Paper RF Channel Characterization for 4G MIMO deployment CelPlan International, Inc. February 2014 CelPlan International, Inc. Proprietary Information Page 1 RF Channel Characterization for 4G MIMO

More information

Wireless Communication Technologies

Wireless Communication Technologies 1 Wireless Communication Technologies Lin DAI Requirement 2 Prerequisite: Principles of Communications A certain math background Probability, Linear Algebra, Matrix Be interactive in class! Think independently!

More information

Using a design-to-test capability for LTE MIMO (Part 2 of 2)

Using a design-to-test capability for LTE MIMO (Part 2 of 2) Using a design-to-test capability for LTE MIMO (Part 2 of 2) System-level simulation helps engineers gain valuable insight into the design sensitivities of Long Term Evolution (LTE) Multiple-Input Multiple-Output

More information

A SIMULATION STUDY ON SPACE-TIME EQUALIZATION FOR MOBILE BROADBAND COMMUNICATION IN AN INDUSTRIAL INDOOR ENVIRONMENT

A SIMULATION STUDY ON SPACE-TIME EQUALIZATION FOR MOBILE BROADBAND COMMUNICATION IN AN INDUSTRIAL INDOOR ENVIRONMENT A SIMULATION STUDY ON SPACE-TIME EQUALIZATION FOR MOBILE BROADBAND COMMUNICATION IN AN INDUSTRIAL INDOOR ENVIRONMENT U. Trautwein, G. Sommerkorn, R. S. Thomä FG EMT, Ilmenau University of Technology P.O.B.

More information

OFDM, Mobile Software Development Framework

OFDM, Mobile Software Development Framework OFDM, Mobile Software Development Framework 9/27/2012 Y. Richard Yang 1 Admin. Homework 2 to be posted by Friday Start to think about project 2 Recap Inter-Symbol Interference (ISI) Handle band limit ISI

More information

Course Curriculum for Master Degree in Electrical Engineering/Wireless Communications

Course Curriculum for Master Degree in Electrical Engineering/Wireless Communications Course Curriculum for Master Degree in Electrical Engineering/Wireless Communications The Master Degree in Electrical Engineering/Wireless Communications, is awarded by the Faculty of Graduate Studies

More information

Towards the Next Generation Video Broadcasting

Towards the Next Generation Video Broadcasting Towards the Next Generation Video Broadcasting Ming Liu, Jean-François Hélard, Maryline Hélard, Matthieu Crussière To cite this version: Ming Liu, Jean-François Hélard, Maryline Hélard, Matthieu Crussière.

More information

System aspects of DVB-T2 for frequency & network planning

System aspects of DVB-T2 for frequency & network planning System aspects of DVB-T2 for frequency & network planning Chris Nokes BBC 23 rd April 2012 1 DVB-T2 System Aspects Background and requirements Main modulation features Coding, constellations, FFT, guard

More information

IN current film media, the increase in areal density has

IN current film media, the increase in areal density has IEEE TRANSACTIONS ON MAGNETICS, VOL. 44, NO. 1, JANUARY 2008 193 A New Read Channel Model for Patterned Media Storage Seyhan Karakulak, Paul H. Siegel, Fellow, IEEE, Jack K. Wolf, Life Fellow, IEEE, and

More information

Comparison of Distributed and Co-located Antenna Diversity Schemes for the Coverage Improvement of VoWLAN Systems

Comparison of Distributed and Co-located Antenna Diversity Schemes for the Coverage Improvement of VoWLAN Systems Comparison of Distributed and Co-located Antenna Diversity Schemes for the Coverage Improvement of VoWLAN Systems Azadeh Ettefagh 1, Marc Kuhn 1, Barry Cheetham 2, Armin Wittneben 1 1 Swiss Federal Institute

More information

Evaluating channel estimation methods for 802.11p systems. Master of Science Thesis in Communication Engineering MATTIAS HERMANSSON VIKTOR SKODA

Evaluating channel estimation methods for 802.11p systems. Master of Science Thesis in Communication Engineering MATTIAS HERMANSSON VIKTOR SKODA Evaluating channel estimation methods for 80211p systems Master of Science Thesis in Communication Engineering MATTIAS HERMANSSON VIKTOR SKODA Department of Signals and Systems Division of Communication

More information

Project Report on Adaptive Resource Allocation Algorithm for Multiuser Mimo-Ofdm Systems:

Project Report on Adaptive Resource Allocation Algorithm for Multiuser Mimo-Ofdm Systems: EE-575 INFORMATION THEORY - SEM 092 Project Report on Adaptive Resource Allocation Algorithm for Multiuser Mimo-Ofdm Systems: Prepared By: Mohammed Akber Ali Student ID # G200806120. Page 1 Context Abstract

More information

Removal of Noise from MRI using Spectral Subtraction

Removal of Noise from MRI using Spectral Subtraction International Journal of Electronic and Electrical Engineering. ISSN 0974-2174, Volume 7, Number 3 (2014), pp. 293-298 International Research Publication House http://www.irphouse.com Removal of Noise

More information

Rice University Full-duplex Wireless: Design, Implementation and Characterization. Melissa Duarte

Rice University Full-duplex Wireless: Design, Implementation and Characterization. Melissa Duarte Rice University Full-duplex Wireless: Design, Implementation and Characterization. by Melissa Duarte A Thesis Submitted in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy Approved,

More information

Maximizing Throughput and Coverage for Wi Fi and Cellular

Maximizing Throughput and Coverage for Wi Fi and Cellular Maximizing Throughput and Coverage for Wi Fi and Cellular A White Paper Prepared by Sebastian Rowson, Ph.D. Chief Scientist, Ethertronics, Inc. www.ethertronics.com March 2012 Introduction Ask consumers

More information

A New Digital Communications Course Enhanced by PC-Based Design Projects*

A New Digital Communications Course Enhanced by PC-Based Design Projects* Int. J. Engng Ed. Vol. 16, No. 6, pp. 553±559, 2000 0949-149X/91 $3.00+0.00 Printed in Great Britain. # 2000 TEMPUS Publications. A New Digital Communications Course Enhanced by PC-Based Design Projects*

More information

A FPGA based Generic Architecture for Polynomial Matrix Multiplication in Image Processing

A FPGA based Generic Architecture for Polynomial Matrix Multiplication in Image Processing A FPGA based Generic Architecture for Polynomial Matrix Multiplication in Image Processing Prof. Dr. S. K. Shah 1, S. M. Phirke 2 Head of PG, Dept. of ETC, SKN College of Engineering, Pune, India 1 PG

More information

CS263: Wireless Communications and Sensor Networks

CS263: Wireless Communications and Sensor Networks CS263: Wireless Communications and Sensor Networks Matt Welsh Lecture 2: RF Basics and Signal Encoding September 22, 2005 2005 Matt Welsh Harvard University 1 Today's Lecture Basics of wireless communications

More information

DSP based implementation of a Configurable Composite Digital Transmitter Soumik Kundu, Amiya Karmakar

DSP based implementation of a Configurable Composite Digital Transmitter Soumik Kundu, Amiya Karmakar International Journal of Scientific & Engineering Research, Volume 4, Issue 4, April-2013 262 DSP based implementation of a Configurable Composite Digital Transmitter Soumik Kundu, Amiya Karmakar Abstract

More information

An Algorithm for Automatic Base Station Placement in Cellular Network Deployment

An Algorithm for Automatic Base Station Placement in Cellular Network Deployment An Algorithm for Automatic Base Station Placement in Cellular Network Deployment István Törős and Péter Fazekas High Speed Networks Laboratory Dept. of Telecommunications, Budapest University of Technology

More information

Signal Encoding Techniques

Signal Encoding Techniques Signal Encoding Techniques Guevara Noubir noubir@ccs.neu.edu 1 Reasons for Choosing Encoding Techniques Digital data, digital signal Equipment less complex and expensive than digital-to-analog modulation

More information

Antenna Systems for Broadband Wireless Access

Antenna Systems for Broadband Wireless Access WIDEBAND WIRELESS ACCESS TECHNOLOGIES TO BROADBAND INTERNET Antenna Systems for Broadband Wireless Access Ross D. Murch and Khaled Ben Letaief, Hong Kong University of Science and Technology ABSTRACT Broadband

More information

Emerging high speed technology in mobile communication: 4G

Emerging high speed technology in mobile communication: 4G IOSR Journal of Computer Engineering (IOSR-JCE) e-issn: 2278-0661,p-ISSN: 2278-8727 PP 10-14 www.iosrjournals.org Emerging high speed technology in mobile communication: 4G Shrikant R Tripathi 1 and Nitesh

More information

A Novel LTE-Advanced Carrier Aggregation with Higher Throughput

A Novel LTE-Advanced Carrier Aggregation with Higher Throughput A Novel LTE-Advanced Carrier Aggregation with Higher Throughput A. Z. Yonis 1 and M. F. L. Abdullah 2 1 Department of Communication Engineering, 1 College of Electronic Engineering, University of Mosul,

More information

SURVEY OF LTE AND LTE ADVANCED SYSTEM

SURVEY OF LTE AND LTE ADVANCED SYSTEM IMPACT: International Journal of Research in Engineering & Technology (IMPACT: IJRET) ISSN(E): 2321-8843; ISSN(P): 2347-4599 Vol. 2, Issue 5, May 2014, 1-6 Impact Journals SURVEY OF LTE AND LTE ADVANCED

More information

Email: tjohn@mail.nplindia.ernet.in

Email: tjohn@mail.nplindia.ernet.in USE OF VIRTUAL INSTRUMENTS IN RADIO AND ATMOSPHERIC EXPERIMENTS P.N. VIJAYAKUMAR, THOMAS JOHN AND S.C. GARG RADIO AND ATMOSPHERIC SCIENCE DIVISION, NATIONAL PHYSICAL LABORATORY, NEW DELHI 110012, INDIA

More information

CNR Requirements for DVB-T2 Fixed Reception Based on Field Trial Results

CNR Requirements for DVB-T2 Fixed Reception Based on Field Trial Results CNR Requirements for DVB-T2 Fixed Reception Based on Field Trial Results Iñaki Eizmendi, Gorka Berjon-Eriz, Manuel Vélez, Gorka Prieto, Amaia Arrinda This letter presents the C/N requirements for DVB-T2

More information

ADAPTIVE EQUALIZATION. Prepared by Deepa.T, Asst.Prof. /TCE

ADAPTIVE EQUALIZATION. Prepared by Deepa.T, Asst.Prof. /TCE ADAPTIVE EQUALIZATION Prepared by Deepa.T, Asst.Prof. /TCE INTRODUCTION TO EQUALIZATION Equalization is a technique used to combat inter symbol interference(isi). An Equalizer within a receiver compensates

More information

Propagation Channel Emulator ECP_V3

Propagation Channel Emulator ECP_V3 Navigation simulators Propagation Channel Emulator ECP_V3 1 Product Description The ECP (Propagation Channel Emulator V3) synthesizes the principal phenomena of propagation occurring on RF signal links

More information