#8 Adaptive Modulation Coding
|
|
- Jessica Knight
- 6 years ago
- Views:
Transcription
1 06 Q Wireless Communication Engineering #8 Adaptive Modulation Coding Kei Sakaguchi sakaguchi@mobile.ee. July 5, 06
2 Course Schedule () Date Text Contents #7 July Error correction coding #8 July 5 Adaptive modulation coding #9 July 4.3 Inter symbol interference and adaptive equalizer #0 July 3.6, 4.5 Spread spectrum and code division multiple access (CDMA) # July Orthogonal frequency division multiple access (OFDM) # July 9 Array signal processing and MIMO spatial multiplexing #3 TBD all Final examination July 5, 06 Wireless Communication Engineering
3 From revious Lecture n Convolutional coding & Viterbi decoding m(t) n Error rate of Viterbi decoding e < d = d Z min d-d Z min ( d) x ( t) x ( t) n Interleaver & time diversity Hard detection: Soft detection: Avoiding burst error by interleaving d d k ( d) = e ( e ) k = d + k c ( d) erfc( γd ) = July 5, 06 Wireless Communication Engineering 3 T x A = [,] [0,0] t t t 3 t4 [ 0,0 [0,0] 0,0] A A A A B [,] [0,] [ ] B [0,0] B [0,0] B C D [,] [,] [, ] [,0] [,0 ] [0,] [0,] [,0] C D [,] [0,] [0,] [,0] d ( d) = erfc γ i i= [,0] C D d k
4 Contents Throughput of higher order modulation Throughput in fading channel Adaptive modulation Adaptive modulation coding July 5, 06 Wireless Communication Engineering 4
5 Higher Order Modulation BSK QSK log M = log M = 6QAM 64QAM log M = 4 log M = 6 July 5, 06 Wireless Communication Engineering 5
6 BER of Higher Order Modulation BSK modulation eb ( γ ) = erfc ( γ ) γ = h σ BER of QAM modulation BSK QSK 6QAM 64QAM QAM modulation eb ( γ ) = log M erfc 3γ M ( M ) Bit Error Rate Average SNR per antenna [db] July 5, 06 Wireless Communication Engineering 6
7 Throughput of Higher Order Modulation Frame structure reamble Data Data length acket Error Rate (ER) ( γ ) = ( ( γ )) L ep Throughput eb L Throughput [bits/s/hz] Throughput of QAM modulation BSK QSK 6QAM 64QAM T ( γ ) log M ( ( γ )) L = [bits/s/hz] eb Average SNR per antenna [db] July 5, 06 Wireless Communication Engineering 7
8 BER in Fading Channel BER of BSK modulation eb ( γ ) = erfc ( γ ) γ = h σ Rayleigh fading channel DF of Rayleigh fading channel f ( γ ) γ = exp γ γ γ h( t) E σ = Average BER Error events eb ( γ ) = eb ( γ ) f ( γ ) dγ = γ + γ July 5, 06 Wireless Communication Engineering 8
9 BER in Fading Channel BER performance BSK QSK 6QAM 64QAM Bit Error Rate Average BER performance BSK QSK 6QAM 64QAM Average SNR per antenna [db] Rayleigh fading Bit Error Rate Average SNR [db] July 5, 06 Wireless Communication Engineering 9
10 Throughput in Fading Channel Throughput [bits/s/hz] Throughput performance BSK QSK 6QAM 64QAM Average SNR per antenna [db] Rayleigh fading Average throughput performance Throughput [bits/s/hz] BSK QSK 6QAM 64QAM Average SNR [db] July 5, 06 Wireless Communication Engineering 0
11 Structure of Rate Adaptation Fading channel Conv. coding QAM mod. QAM demod. Viterbi dec. Coding rate r Adaptive control Modulation order M Training sequence Feedback channel ˆM Channel quality est. rˆ Adaptive control Maximization of transmit data rate by adaptive control of modulation order of QAM and coding rate of channel coder in accordance with the channel variation (by using feedback channel) Channel quality estimation One of receiver function to estimate optimal transmit rate (modulation order, coding rate) based on instantaneous SNR estimated using training sequence and to tell transmitter about their optimal values via feedback channel July 5, 06 Wireless Communication Engineering
12 SNR estimation hˆ( t) γ ( t ) = σ Throughput estimation T BSK QAM eb ( γ ) = Adaptive Modulation ( ) γ, M = log M ( γ ) eb ( γ ) erfc ( γ ) Adaptive modulation ( Mˆ = arg max T γ, M ) M ( ) L eb = log M erfc 3γ M ( M ) Optimal modulation order Table for adaptive modulation July 5, 06 Wireless Communication Engineering
13 Throughput of Adaptive Modulation Average throughput T( γ, M f ( γ ) ) = DF of Rayleigh fading γ = exp γ γ f ( γ ) T( γ, M γ ) dγ h( t) E σ = Average throughput of adaptive modulation T( γ ) γ = f ( γ ) T( γ,)dγ γ = γ = γ = 0 γ + f ( γ ) T( γ,64)dγ Inst. SNR Modulation - 9.5dB BSK 9.5dB 6dB 6dB.5dB.5dB QSK 6QAM 64QAM July 5, 06 Wireless Communication Engineering 3 Table of adaptive modulation SNR threshold
14 Adaptive Modulation in Fading Channel Fixed modulations & Adaptive modulation July 5, 06 Wireless Communication Engineering 4
15 Convolutional Coding & uncture Convolutional coding (constraint length 7) Input data Encoded data with puncture /3 3/4 A B uncture matrix R=/ d free 0 R=/3 0 d free R=3/4 d free R=4/5 000 d free R=5/6 d free July 5, 06 Wireless Communication Engineering 5
16 BER of Convolutional Coding Bit Error Rate BER performance in AWGN channel BSK / BSK 3/4 BSK no code QSK / QSK 3/4 QSK no code 6QAM / 6QM 3/4 6QAM no code 64QAM / 64QAM 3/4 64QAM no code Average SNR [db] July 5, 06 Wireless Communication Engineering 6
17 Throughput of Convolutional Coding Throughput [Mbps] Throughput performance in AWGN channel BSK / BSK 3/4 BSK no code QSK / QSK 3/4 QSK no code 6QAM / 6QAM 3/4 6QAM no code 64QAM / 64QAM 3/4 64QAM no code Average SNR [db] July 5, 06 Wireless Communication Engineering 7
18 Adaptive Modulation Coding in Fading Channel erformance in Rayleigh fading channel July 5, 06 Wireless Communication Engineering 8
19 Summ n Throughput against modulation order T ( ) L ( ) γ, M = log M ( γ ) eb SNR Table for AMC n Adaptive modulation Mˆ = arg max T M ( γ, M ) n Throughput performance of AMC T ( γ ) γ 0 = f ( γ ) T( γ,)dγ + + f ( γ ) T( γ,64)dγ γ 3 July 5, 06 Wireless Communication Engineering 9
Performance Analysis of n Wireless LAN Physical Layer
120 1 Performance Analysis of 802.11n Wireless LAN Physical Layer Amr M. Otefa, Namat M. ElBoghdadly, and Essam A. Sourour Abstract In the last few years, we have seen an explosive growth of wireless LAN
More informationBit Error Rate Performance Evaluation of Various Modulation Techniques with Forward Error Correction Coding of WiMAX
Bit Error Rate Performance Evaluation of Various Modulation Techniques with Forward Error Correction Coding of WiMAX Amr Shehab Amin 37-20200 Abdelrahman Taha 31-2796 Yahia Mobasher 28-11691 Mohamed Yasser
More informationELEC E7210: Communication Theory. Lecture 7: Adaptive modulation and coding
ELEC E721: Communication Theory Lecture 7: Adaptive modulation and coding Adaptive modulation and coding (1) Change modulation and coding relative to fading AMC enable robust and spectrally efficient transmission
More informationCHAPTER 8 MIMO. Xijun Wang
CHAPTER 8 MIMO Xijun Wang WEEKLY READING 1. Goldsmith, Wireless Communications, Chapters 10 2. Tse, Fundamentals of Wireless Communication, Chapter 7-10 2 MIMO 3 BENEFITS OF MIMO n Array gain The increase
More informationEECS 380: Wireless Technologies Week 7-8
EECS 380: Wireless Technologies Week 7-8 Michael L. Honig Northwestern University May 2018 Outline Diversity, MIMO Multiple Access techniques FDMA, TDMA OFDMA (LTE) CDMA (3G, 802.11b, Bluetooth) Random
More informationCHANNEL MEASUREMENT. Channel measurement doesn t help for single bit transmission in flat Rayleigh fading.
CHANNEL MEASUREMENT Channel measurement doesn t help for single bit transmission in flat Rayleigh fading. It helps (as we soon see) in detection with multi-tap fading, multiple frequencies, multiple antennas,
More informationPerformance Analysis of Adaptive MIMO OFDM Systems
International Journal of Emerging Engineering Research and Technology Volume 3, Issue 12, December 2015, PP 60-66 ISSN 2349-4395 (Print) & ISSN 2349-4409 (Online) Performance Analysis of Adaptive MIMO
More informationDigital Communications I: Modulation and Coding Course. Term Catharina Logothetis Lecture 12
Digital Communications I: Modulation and Coding Course Term 3-8 Catharina Logothetis Lecture Last time, we talked about: How decoding is performed for Convolutional codes? What is a Maximum likelihood
More informationLecture 12: Summary Advanced Digital Communications (EQ2410) 1
: Advanced Digital Communications (EQ2410) 1 Monday, Mar. 7, 2016 15:00-17:00, B23 1 Textbook: U. Madhow, Fundamentals of Digital Communications, 2008 1 / 15 Overview 1 2 3 4 2 / 15 Equalization Maximum
More informationAdaptive Modulation and Coding
Adaptive Modulation and Coding Master Universitario en Ingeniería de Telecomunicación I. Santamaría Universidad de Cantabria Contents Introduction Rate adaptation Power adaptation Adaptive coding Hybrid
More informationWireless Communication: Concepts, Techniques, and Models. Hongwei Zhang
Wireless Communication: Concepts, Techniques, and Models Hongwei Zhang http://www.cs.wayne.edu/~hzhang Outline Digital communication over radio channels Channel capacity MIMO: diversity and parallel channels
More informationTSTE17 System Design, CDIO. General project hints. Behavioral Model. General project hints, cont. Lecture 5. Required documents Modulation, cont.
TSTE17 System Design, CDIO Lecture 5 1 General project hints 2 Project hints and deadline suggestions Required documents Modulation, cont. Requirement specification Channel coding Design specification
More informationOutline / Wireless Networks and Applications Lecture 7: Physical Layer OFDM. Frequency-Selective Radio Channel. How Do We Increase Rates?
Page 1 Outline 18-452/18-750 Wireless Networks and Applications Lecture 7: Physical Layer OFDM Peter Steenkiste Carnegie Mellon University RF introduction Modulation and multiplexing Channel capacity Antennas
More informationDESIGN, IMPLEMENTATION AND OPTIMISATION OF 4X4 MIMO-OFDM TRANSMITTER FOR
DESIGN, IMPLEMENTATION AND OPTIMISATION OF 4X4 MIMO-OFDM TRANSMITTER FOR COMMUNICATION SYSTEMS Abstract M. Chethan Kumar, *Sanket Dessai Department of Computer Engineering, M.S. Ramaiah School of Advanced
More informationAdaptive Modulation, Adaptive Coding, and Power Control for Fixed Cellular Broadband Wireless Systems: Some New Insights 1
Adaptive, Adaptive Coding, and Power Control for Fixed Cellular Broadband Wireless Systems: Some New Insights Ehab Armanious, David D. Falconer, and Halim Yanikomeroglu Broadband Communications and Wireless
More informationOpportunistic Communication in Wireless Networks
Opportunistic Communication in Wireless Networks David Tse Department of EECS, U.C. Berkeley October 10, 2001 Networking, Communications and DSP Seminar Communication over Wireless Channels Fundamental
More informationUNIVERSITY OF SOUTHAMPTON
UNIVERSITY OF SOUTHAMPTON ELEC6014W1 SEMESTER II EXAMINATIONS 2007/08 RADIO COMMUNICATION NETWORKS AND SYSTEMS Duration: 120 mins Answer THREE questions out of FIVE. University approved calculators may
More informationTCM-coded OFDM assisted by ANN in Wireless Channels
1 Aradhana Misra & 2 Kandarpa Kumar Sarma Dept. of Electronics and Communication Technology Gauhati University Guwahati-781014. Assam, India Email: aradhana66@yahoo.co.in, kandarpaks@gmail.com Abstract
More informationPhysical Layer: Modulation, FEC. Wireless Networks: Guevara Noubir. S2001, COM3525 Wireless Networks Lecture 3, 1
Wireless Networks: Physical Layer: Modulation, FEC Guevara Noubir Noubir@ccsneuedu S, COM355 Wireless Networks Lecture 3, Lecture focus Modulation techniques Bit Error Rate Reducing the BER Forward Error
More informationMultiple Antennas in Wireless Communications
Multiple Antennas in Wireless Communications Luca Sanguinetti Department of Information Engineering Pisa University lucasanguinetti@ietunipiit April, 2009 Luca Sanguinetti (IET) MIMO April, 2009 1 / 46
More informationOrthogonal Frequency Division Multiplexing (OFDM) based Uplink Multiple Access Method over AWGN and Fading Channels
Orthogonal Frequency Division Multiplexing (OFDM) based Uplink Multiple Access Method over AWGN and Fading Channels Prashanth G S 1 1Department of ECE, JNNCE, Shivamogga ---------------------------------------------------------------------***----------------------------------------------------------------------
More informationUniversity of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /ICCE.2012.
Zhu, X., Doufexi, A., & Koçak, T. (2012). A performance enhancement for 60 GHz wireless indoor applications. In ICCE 2012, Las Vegas Institute of Electrical and Electronics Engineers (IEEE). DOI: 10.1109/ICCE.2012.6161865
More informationThroughput Enhancement for MIMO OFDM Systems Using Transmission Control and Adaptive Modulation
Throughput Enhancement for MIMOOFDM Systems Using Transmission Control and Adaptive Modulation Yoshitaka Hara Mitsubishi Electric Information Technology Centre Europe B.V. (ITE) 1, allee de Beaulieu, Rennes,
More informationExperimental Analysis of MIMO-OFDM Eigenmode Transmission with MMSE Interference Canceller
Experimental Analysis of MIMO-OFDM Eigenmode Transmission with MMSE Interference Canceller Yuichi KAKISIMA Le ai Doan Ting See o Kei Sakaguchi Kiyomichi Araki Graduate School of Science and Engineering
More informationUnit 8 - Week 7 - Computer simulation of Rayleigh fading, Antenna Diversity
X Courses» Introduction to Wireless and Cellular Communications Announcements Course Forum Progress Mentor Unit 8 - Week 7 - Computer simulation of Rayleigh fading, Antenna Diversity Course outline How
More informationCapacity Enhancement in WLAN using
319 CapacityEnhancementinWLANusingMIMO Capacity Enhancement in WLAN using MIMO K.Shamganth Engineering Department Ibra College of Technology Ibra, Sultanate of Oman shamkanth@ict.edu.om M.P.Reena Electronics
More informationUNIVERSITY OF MICHIGAN DEPARTMENT OF ELECTRICAL ENGINEERING : SYSTEMS EECS 555 DIGITAL COMMUNICATION THEORY
UNIVERSITY OF MICHIGAN DEPARTMENT OF ELECTRICAL ENGINEERING : SYSTEMS EECS 555 DIGITAL COMMUNICATION THEORY Study Of IEEE P802.15.3a physical layer proposals for UWB: DS-UWB proposal and Multiband OFDM
More informationDiversity Techniques
Diversity Techniques Vasileios Papoutsis Wireless Telecommunication Laboratory Department of Electrical and Computer Engineering University of Patras Patras, Greece No.1 Outline Introduction Diversity
More informationADVANCED WIRELESS TECHNOLOGIES. Aditya K. Jagannatham Indian Institute of Technology Kanpur
ADVANCED WIRELESS TECHNOLOGIES Aditya K. Jagannatham Indian Institute of Technology Kanpur Wireless Signal Fast Fading The wireless signal can reach the receiver via direct and scattered paths. As a result,
More informationELEC E7210: Communication Theory. Lecture 11: MIMO Systems and Space-time Communications
ELEC E7210: Communication Theory Lecture 11: MIMO Systems and Space-time Communications Overview of the last lecture MIMO systems -parallel decomposition; - beamforming; - MIMO channel capacity MIMO Key
More informationMultiple Antennas in Wireless Communications
Multiple Antennas in Wireless Communications Luca Sanguinetti Department of Information Engineering Pisa University luca.sanguinetti@iet.unipi.it April, 2009 Luca Sanguinetti (IET) MIMO April, 2009 1 /
More informationPage 1. Outline : Wireless Networks Lecture 6: Final Physical Layer. Direct Sequence Spread Spectrum (DSSS) Spread Spectrum
Outline 18-759 : Wireless Networks Lecture 6: Final Physical Layer Peter Steenkiste Dina Papagiannaki Spring Semester 2009 http://www.cs.cmu.edu/~prs/wireless09/ Peter A. Steenkiste 1 RF introduction Modulation
More informationOpportunistic Communication: From Theory to Practice
Opportunistic Communication: From Theory to Practice David Tse Department of EECS, U.C. Berkeley March 9, 2005 Viterbi Conference Fundamental Feature of Wireless Channels: Time Variation Channel Strength
More informationPower allocation for Block Diagonalization Multi-user MIMO downlink with fair user scheduling and unequal average SNR users
Power allocation for Block Diagonalization Multi-user MIMO downlink with fair user scheduling and unequal average SNR users Therdkiat A. (Kiak) Araki-Sakaguchi Laboratory MCRG group seminar 12 July 2012
More informationAdvanced channel coding : a good basis. Alexandre Giulietti, on behalf of the team
Advanced channel coding : a good basis Alexandre Giulietti, on behalf of the T@MPO team Errors in transmission are fowardly corrected using channel coding e.g. MPEG4 e.g. Turbo coding e.g. QAM source coding
More informationCommunications Theory and Engineering
Communications Theory and Engineering Master's Degree in Electronic Engineering Sapienza University of Rome A.A. 2018-2019 TDMA, FDMA, CDMA (cont d) and the Capacity of multi-user channels Code Division
More informationPerformance Analysis of the D-STTD Communication System with AMC Scheme
, 2009, 5, 325-329 doi:10.4236/ijcns.2009.25035 Published Online August 2009 (http://www.scirp.org/journal/ijcns/). Performance Analysis of the D-STTD Communication System with AMC Scheme Jeonghwan LEE
More informationCHAPTER 3 MIMO-OFDM DETECTION
63 CHAPTER 3 MIMO-OFDM DETECTION 3.1 INTRODUCTION This chapter discusses various MIMO detection methods and their performance with CE errors. Based on the fact that the IEEE 80.11n channel models have
More informationSmart Scheduling and Dumb Antennas
Smart Scheduling and Dumb Antennas David Tse Department of EECS, U.C. Berkeley September 20, 2002 Berkeley Wireless Research Center Opportunistic Communication One line summary: Transmit when and where
More informationImproved concatenated (RS-CC) for OFDM systems
Improved concatenated (RS-CC) for OFDM systems Mustafa Dh. Hassib 1a), JS Mandeep 1b), Mardina Abdullah 1c), Mahamod Ismail 1d), Rosdiadee Nordin 1e), and MT Islam 2f) 1 Department of Electrical, Electronics,
More informationDecrease Interference Using Adaptive Modulation and Coding
International Journal of Computer Networks and Communications Security VOL. 3, NO. 9, SEPTEMBER 2015, 378 383 Available online at: www.ijcncs.org E-ISSN 2308-9830 (Online) / ISSN 2410-0595 (Print) Decrease
More informationCHAPTER 4. DESIGN OF ADAPTIVE MODULATION SYSTEM BY USING 1/3 RATE TURBO CODER (SNR Vs BER)
112 CHAPTER 4 DESIGN OF ADAPTIVE MODULATION SYSTEM BY USING 1/3 RATE TURBO CODER (SNR Vs BER) 4.1 NECESSITY FOR SYSTEM DESIGN The improved BER was achieved by inhibiting 1/3 rated Turbo coder instead of
More informationFixed-Point Aspects of MIMO OFDM Detection on SDR Platforms
Fixed-Point Aspects of MIMO OFDM Detection on SDR Platforms Daniel Guenther Chair ISS Integrierte Systeme der Signalverarbeitung June 27th 2012 Institute for Communication Technologies and Embedded Systems
More informationOn the Spectral Efficiency of MIMO MC-CDMA System
I J C T A, 9(19) 2016, pp. 9311-9316 International Science Press On the Spectral Efficiency of MIMO MC-CDMA System Madhvi Jangalwa and Vrinda Tokekar ABSTRACT The next generation wireless communication
More information2: Diversity. 2. Diversity. Some Concepts of Wireless Communication
2. Diversity 1 Main story Communication over a flat fading channel has poor performance due to significant probability that channel is in a deep fade. Reliability is increased by providing more resolvable
More informationError Control Coding. Aaron Gulliver Dept. of Electrical and Computer Engineering University of Victoria
Error Control Coding Aaron Gulliver Dept. of Electrical and Computer Engineering University of Victoria Topics Introduction The Channel Coding Problem Linear Block Codes Cyclic Codes BCH and Reed-Solomon
More informationLecture 7. Traditional Transmission (Narrowband) Small Scale Fading Time Variation
Lecture 7 Traditional Transmission (Narrowband) Small Scale Fading Time Variation Communication Issues and Radio 2 Propagation Fading Channels Large Scale Fading Small Scale Fading Path-Loss & Shadowing
More informationUnit 7 - Week 6 - Wide Sense Stationary Uncorrelated Scattering (WSSUS) Channel Model
X Courses» Introduction to Wireless and Cellular Communications Announcements Course Forum Progress Mentor Unit 7 - Week 6 - Wide Sense Stationary Uncorrelated Scattering (WSSUS) Channel Model Course outline
More informationLecture LTE (4G) -Technologies used in 4G and 5G. Spread Spectrum Communications
COMM 907: Spread Spectrum Communications Lecture 10 - LTE (4G) -Technologies used in 4G and 5G The Need for LTE Long Term Evolution (LTE) With the growth of mobile data and mobile users, it becomes essential
More informationRevision of Lecture Twenty-Eight
ELEC64 Advanced Wireless Communications Networks and Systems Revision of Lecture Twenty-Eight MIMO classification: roughly three classes create diversity, increase throughput, support multi-users Some
More informationPerformance of wireless Communication Systems with imperfect CSI
Pedagogy lecture Performance of wireless Communication Systems with imperfect CSI Yogesh Trivedi Associate Prof. Department of Electronics and Communication Engineering Institute of Technology Nirma University
More informationNotes 15: Concatenated Codes, Turbo Codes and Iterative Processing
16.548 Notes 15: Concatenated Codes, Turbo Codes and Iterative Processing Outline! Introduction " Pushing the Bounds on Channel Capacity " Theory of Iterative Decoding " Recursive Convolutional Coding
More informationWireless Physical Layer Concepts: Part III
Wireless Physical Layer Concepts: Part III Raj Jain Professor of CSE Washington University in Saint Louis Saint Louis, MO 63130 Jain@cse.wustl.edu These slides are available on-line at: http://www.cse.wustl.edu/~jain/cse574-08/
More informationAdaptive Modulation and Coding Technique under Multipath Fading and Impulsive Noise in Broadband Power-line Communication
Adaptive Modulation and Coding Technique under Multipath Fading and Impulsive Noise in Broadband Power-line Communication Güray Karaarslan 1, and Özgür Ertuğ 2 1 MSc Student, Ankara, Turkey, guray.karaarslan@gmail.com
More informationBit-Interleaved Coded Modulation: Low Complexity Decoding
Bit-Interleaved Coded Modulation: Low Complexity Decoding Enis Aay and Ender Ayanoglu Center for Pervasive Communications and Computing Department of Electrical Engineering and Computer Science The Henry
More informationPerformance Analysis of a MIMO MC-CDMA Wireless Communication System Implementing Spatial Domain Noise Reduction Techniques with MMSE Signal Detection
Journal of Multidisciplinary Engineering Science and Technology (JMEST) Performance Analysis of a MIMO MC-CDMA Wireless Communication System Implementing Spatial Domain Noise Reduction Techniques with
More informationPerformance Study of MIMO-OFDM System in Rayleigh Fading Channel with QO-STB Coding Technique
e-issn 2455 1392 Volume 2 Issue 6, June 2016 pp. 190 197 Scientific Journal Impact Factor : 3.468 http://www.ijcter.com Performance Study of MIMO-OFDM System in Rayleigh Fading Channel with QO-STB Coding
More informationExam 3 is two weeks from today. Today s is the final lecture that will be included on the exam.
ECE 5325/6325: Wireless Communication Systems Lecture Notes, Spring 2010 Lecture 19 Today: (1) Diversity Exam 3 is two weeks from today. Today s is the final lecture that will be included on the exam.
More informationAdaptive Digital Video Transmission with STBC over Rayleigh Fading Channels
2012 7th International ICST Conference on Communications and Networking in China (CHINACOM) Adaptive Digital Video Transmission with STBC over Rayleigh Fading Channels Jia-Chyi Wu Dept. of Communications,
More informationCoding for MIMO Communication Systems
Coding for MIMO Communication Systems Tolga M. Duman Arizona State University, USA Ali Ghrayeb Concordia University, Canada BICINTINNIAL BICENTENNIAL John Wiley & Sons, Ltd Contents About the Authors Preface
More informationMATLAB Simulation for Fixed Gain Amplify and Forward MIMO Relaying System using OSTBC under Flat Fading Rayleigh Channel
MATLAB Simulation for Fixed Gain Amplify and Forward MIMO Relaying System using OSTBC under Flat Fading Rayleigh Channel Anas A. Abu Tabaneh 1, Abdulmonem H.Shaheen, Luai Z.Qasrawe 3, Mohammad H.Zghair
More informationVARIABLE RATE OFDM PERFORMANCE ON AERONAUTICAL CHANNELS
VARIABLE RATE OFDM PERFORMANCE ON AERONAUTICAL CHANNELS Morgan State University Mostafa Elrais, Betelhem Mengiste, Bibek Guatam, Eugene Damiba Faculty Advisors: Dr. Farzad Moazzami, Dr. Arlene Rhodes,
More informationPhysical Layer and Transceiver Algorithm Research
Physical Layer and Transceiver Algorithm Research Markku Juntti, P.Henttu, K. Hooli, K. Kansanen, M. Katz, E. Kunnari, J. Leinonen, S. Siltala Dj. Tujkovic, N. Veselinovic Centre for Wireless Communications
More informationPerformance Evaluation of ½ Rate Convolution Coding with Different Modulation Techniques for DS-CDMA System over Rician Channel
Performance Evaluation of ½ Rate Convolution Coding with Different Modulation Techniques for DS-CDMA System over Rician Channel Dilip Mandloi PG Scholar Department of ECE, IES, IPS Academy, Indore [India]
More informationWe are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists. International authors and editors
We are IntechOpen, the world s leading publisher of Open Access books Built by scientists, for scientists 3,800 6,000 0M Open access books available International authors and editors Downloads Our authors
More informationPERFORMANCE ANALYSIS OF MIMO-SPACE TIME BLOCK CODING WITH DIFFERENT MODULATION TECHNIQUES
SHUBHANGI CHAUDHARY AND A J PATIL: PERFORMANCE ANALYSIS OF MIMO-SPACE TIME BLOCK CODING WITH DIFFERENT MODULATION TECHNIQUES DOI: 10.21917/ijct.2012.0071 PERFORMANCE ANALYSIS OF MIMO-SPACE TIME BLOCK CODING
More informationCHAPTER 4 LINK ADAPTATION USING NEURAL NETWORK
CHAPTER 4 LINK ADAPTATION USING NEURAL NETWORK 4.1 INTRODUCTION For accurate system level simulator performance, link level modeling and prediction [103] must be reliable and fast so as to improve the
More informationPerformance Comparison of Downlink User Multiplexing Schemes in IEEE ac: Multi-User MIMO vs. Frame Aggregation
2012 IEEE Wireless Communications and Networking Conference: MAC and Cross-Layer Design Performance Comparison of Downlink User Multiplexing Schemes in IEEE 80211ac: Multi-User MIMO vs Frame Aggregation
More informationImplementation of Different Interleaving Techniques for Performance Evaluation of CDMA System
Implementation of Different Interleaving Techniques for Performance Evaluation of CDMA System Anshu Aggarwal 1 and Vikas Mittal 2 1 Anshu Aggarwal is student of M.Tech. in the Department of Electronics
More informationMIMO Systems and Applications
MIMO Systems and Applications Mário Marques da Silva marques.silva@ieee.org 1 Outline Introduction System Characterization for MIMO types Space-Time Block Coding (open loop) Selective Transmit Diversity
More informationSimple Algorithm in (older) Selection Diversity. Receiver Diversity Can we Do Better? Receiver Diversity Optimization.
18-452/18-750 Wireless Networks and Applications Lecture 6: Physical Layer Diversity and Coding Peter Steenkiste Carnegie Mellon University Spring Semester 2017 http://www.cs.cmu.edu/~prs/wirelesss17/
More informationStudy of Turbo Coded OFDM over Fading Channel
International Journal of Engineering Research and Development e-issn: 2278-067X, p-issn: 2278-800X, www.ijerd.com Volume 3, Issue 2 (August 2012), PP. 54-58 Study of Turbo Coded OFDM over Fading Channel
More informationAWGN Channel Performance Analysis of QO-STB Coded MIMO- OFDM System
AWGN Channel Performance Analysis of QO-STB Coded MIMO- OFDM System Pranil Mengane 1, Ajitsinh Jadhav 2 12 Department of Electronics & Telecommunication Engg, D.Y. Patil College of Engg & Tech, Kolhapur
More informationPerformance Analysis of MIMO-OFDM based IEEE n using Different Modulation Techniques
IJSTE - International Journal of Science Technology & Engineering Volume 3 Issue 2 August 26 ISSN (online): 2349-784X Performance Analysis of MIMO-OFDM based IEEE 82.n using Different Modulation Techniques
More informationField Experiments of 2.5 Gbit/s High-Speed Packet Transmission Using MIMO OFDM Broadband Packet Radio Access
NTT DoCoMo Technical Journal Vol. 8 No.1 Field Experiments of 2.5 Gbit/s High-Speed Packet Transmission Using MIMO OFDM Broadband Packet Radio Access Kenichi Higuchi and Hidekazu Taoka A maximum throughput
More informationUNDERSTANDING LTE WITH MATLAB
UNDERSTANDING LTE WITH MATLAB FROM MATHEMATICAL MODELING TO SIMULATION AND PROTOTYPING Dr Houman Zarrinkoub MathWorks, Massachusetts, USA WILEY Contents Preface List of Abbreviations 1 Introduction 1.1
More informationComparative Study of OFDM & MC-CDMA in WiMAX System
IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-issn: 2278-2834,p- ISSN: 2278-8735.Volume 9, Issue 1, Ver. IV (Jan. 2014), PP 64-68 Comparative Study of OFDM & MC-CDMA in WiMAX
More informationEELE 6333: Wireless Commuications
EELE 6333: Wireless Commuications Chapter # 4 : Capacity of Wireless Channels Spring, 2012/2013 EELE 6333: Wireless Commuications - Ch.4 Dr. Musbah Shaat 1 / 18 Outline 1 Capacity in AWGN 2 Capacity of
More informationFrequency-Hopped Spread-Spectrum
Chapter Frequency-Hopped Spread-Spectrum In this chapter we discuss frequency-hopped spread-spectrum. We first describe the antijam capability, then the multiple-access capability and finally the fading
More informationCHAPTER 5 DIVERSITY. Xijun Wang
CHAPTER 5 DIVERSITY Xijun Wang WEEKLY READING 1. Goldsmith, Wireless Communications, Chapters 7 2. Tse, Fundamentals of Wireless Communication, Chapter 3 2 FADING HURTS THE RELIABILITY n The detection
More informationA Polling Based Approach For Delay Analysis of WiMAX/IEEE Systems
A Polling Based Approach For Delay Analysis of WiMAX/IEEE 802.16 Systems Archana B T 1, Bindu V 2 1 M Tech Signal Processing, Department of Electronics and Communication, Sree Chitra Thirunal College of
More informationAnalysis of maximal-ratio transmit and combining spatial diversity
This article has been accepted and published on J-STAGE in advance of copyediting. Content is final as presented. Analysis of maximal-ratio transmit and combining spatial diversity Fumiyuki Adachi a),
More information4x4 Time-Domain MIMO encoder with OFDM Scheme in WIMAX Context
4x4 Time-Domain MIMO encoder with OFDM Scheme in WIMAX Context Mohamed.Messaoudi 1, Majdi.Benzarti 2, Salem.Hasnaoui 3 Al-Manar University, SYSCOM Laboratory / ENIT, Tunisia 1 messaoudi.jmohamed@gmail.com,
More informationMODELING OF DIGITAL COMMUNICATION SYSTEMS USING SIMULINK
MODELING OF DIGITAL COMMUNICATION SYSTEMS USING SIMULINK ARTHUR A. GIORDANO & ALLEN H. LEVESQUE WILEY CONTENTS Preface Acknowledgments About the Companion website Abbreviations and Acronyms xiii xix xxi
More informationMIMO in 3G STATUS. MIMO for high speed data in 3G systems. Outline. Information theory for wireless channels
MIMO in G STATUS MIMO for high speed data in G systems Reinaldo Valenzuela Wireless Communications Research Department Bell Laboratories MIMO (multiple antenna technologies) provides higher peak data rates
More informationRADIO SYSTEMS ETIN15. Channel Coding. Ove Edfors, Department of Electrical and Information Technology
RADIO SYSTEMS ETIN15 Lecture no: 7 Channel Coding Ove Edfors, Department of Electrical and Information Technology Ove.Edfors@eit.lth.se 2016-04-18 Ove Edfors - ETIN15 1 Contents (CHANNEL CODING) Overview
More informationAnalysis of WiMAX Physical Layer Using Spatial Multiplexing
Analysis of WiMAX Physical Layer Using Spatial Multiplexing Pavani Sanghoi #1, Lavish Kansal *2, #1 Student, Department of Electronics and Communication Engineering, Lovely Professional University, Punjab,
More informationPerformance of Turbo codec OFDM in Rayleigh fading channel for Wireless communication
Performance of Turbo codec OFDM in Rayleigh fading channel for Wireless communication Arjuna Muduli, R K Mishra Electronic science Department, Berhampur University, Berhampur, Odisha, India Email: arjunamuduli@gmail.com
More informationChapter 10. User Cooperative Communications
Chapter 10 User Cooperative Communications 1 Outline Introduction Relay Channels User-Cooperation in Wireless Networks Multi-Hop Relay Channel Summary 2 Introduction User cooperative communication is a
More informationWireless Networks: An Introduction
Wireless Networks: An Introduction Master Universitario en Ingeniería de Telecomunicación I. Santamaría Universidad de Cantabria Contents Introduction Cellular Networks WLAN WPAN Conclusions Wireless Networks:
More informationAbstract. Keywords - Cognitive Radio, Bit Error Rate, Rician Fading, Reed Solomon encoding, Convolution encoding.
Analysing Cognitive Radio Physical Layer on BER Performance over Rician Fading Amandeep Kaur Virk, Ajay K Sharma Computer Science and Engineering Department, Dr. B.R Ambedkar National Institute of Technology,
More informationLow Complexity Decoding of Bit-Interleaved Coded Modulation for M-ary QAM
Low Complexity Decoding of Bit-Interleaved Coded Modulation for M-ary QAM Enis Aay and Ender Ayanoglu Center for Pervasive Communications and Computing Department of Electrical Engineering and Computer
More informationPerformance Analysis of MIMO Equalization Techniques with Highly Efficient Channel Coding Schemes
Performance Analysis of MIMO Equalization Techniques with Highly Efficient Channel Coding Schemes Neha Aggarwal 1 Shalini Bahel 2 Teglovy Singh Chohan 3 Jasdeep Singh 4 1,2,3,4 Department of Electronics
More informationMulti attribute augmentation for Pre-DFT Combining in Coded SIMO- OFDM Systems
Multi attribute augmentation for Pre-DFT Combining in Coded SIMO- OFDM Systems M.Arun kumar, Kantipudi MVV Prasad, Dr.V.Sailaja Dept of Electronics &Communication Engineering. GIET, Rajahmundry. ABSTRACT
More informationOrthogonal Cyclic Prefix for Time Synchronization in MIMO-OFDM
Orthogonal Cyclic Prefix for Time Synchronization in MIMO-OFDM Gajanan R. Gaurshetti & Sanjay V. Khobragade Dr. Babasaheb Ambedkar Technological University, Lonere E-mail : gaurshetty@gmail.com, svk2305@gmail.com
More informationTesting The Effective Performance Of Ofdm On Digital Video Broadcasting
The 1 st Regional Conference of Eng. Sci. NUCEJ Spatial ISSUE vol.11,no.2, 2008 pp 295-302 Testing The Effective Performance Of Ofdm On Digital Video Broadcasting Ali Mohammed Hassan Al-Bermani College
More informationBit Error Rate Performance Measurement of Wireless MIMO System Based on FPGA
Bit Error Rate Performance Measurement of Wireless MIMO System Based on FPGA Aravind Kumar. S, Karthikeyan. S Department of Electronics and Communication Engineering, Vandayar Engineering College, Thanjavur,
More informationImprovement of the Throughput-SNR Tradeoff using a 4G Adaptive MCM system
, June 30 - July 2, 2010, London, U.K. Improvement of the Throughput-SNR Tradeoff using a 4G Adaptive MCM system Insik Cho, Changwoo Seo, Gilsang Yoon, Jeonghwan Lee, Sherlie Portugal, Intae wang Abstract
More informationPERFORMANCE EVALUATION OF WCDMA SYSTEM FOR DIFFERENT MODULATIONS WITH EQUAL GAIN COMBINING SCHEME
PERFORMANCE EVALUATION OF WCDMA SYSTEM FOR DIFFERENT MODULATIONS WITH EQUAL GAIN COMBINING SCHEME Rajkumar Gupta Assistant Professor Amity University, Rajasthan Abstract The performance of the WCDMA system
More informationWireless Communication Systems: Implementation perspective
Wireless Communication Systems: Implementation perspective Course aims To provide an introduction to wireless communications models with an emphasis on real-life systems To investigate a major wireless
More information