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Dr Lajos Hanzo, School of Electronics and Computer Science, University of Southampton
Lajos is Professor of Wireless multimedia communications in the School of Electronics and Computer Science. He has over 30 years experience in communications and has held various academic posts in Hungary, Germany and the UK. He has been a member of the academic staff at Southampton University since 1986 where he currently holds the Chair in Telecommunications. Professor Hanzo has published 12 titles with Wiley/IEEE and has published about 700 research papers.
Dr Yosef (Jos) Akhtman, School of Electronics and Computer Science, University of Southampton
Jos Akhtman is currently working as a Senior Research Assistant in the Communications Group, ECS. His major subject of interest is optimization algorithms for advanced multi-antenna multi-carrier communication systems. Specifically, iterative channel estimation, detection, space-time processing and turbo transceiver architecture. From 2000 to 2002 he was working as a Research Engineer in VYYO Ltd., Jerusalem, Israel and has co-authored numerous journal articles and book chapters.
Dr Ming Jiang Advanced Technology, Standards and Regulation (ATSR) of Samsung Electronics Research Institute (SERI), UK
Since April 2006, Dr. Jiang has been with Advanced Technology, Standards and Regulation (ATSR) of Samsung Electronics Research Institute (SERI), working on the European FP6 WINNER project as well as on internal projects related to advanced wireless communication systems. From 2002 to 2005, he was involved in the Core 3 research project of the Mobile Virtual Centre of Excellence (VCE), UK on air-interface algorithms designed for MIMO OFDM systems. His research interests include multi-user detection, channel estimation, space-time processing, heuristic and adaptive optimization, frequency-hopping and MIMO OFDM and OFDMA systems. Dr. Jiang has co-authored one IEEE Press book chapter and several IEE/IEEE journal and conference papers.
MIMO-OFDM for LTE, WIFI and WIMAX: Coherent versus Non-Coherent and Cooperative
Turbo-Transceivers provides an up-to-date portrayal of wireless transmission based on OFDM techniques augmented with Space-Time Block Codes (STBCs) and Spatial-Division Multiple Access (SDMA). The volume also offers an in-depth treatment of cutting-edge Cooperative Communications.
This monograph collates the latest techniques in a number of specific design areas of turbo-detected MIMO-OFDM wireless systems. As a result a wide range of topical subjects are examined, including channel coding and multiuser detection (MUD), with a special emphasis on optimum maximum-likelihood (ML) MUDs, reduced-complexity genetic algorithm aided near-ML MUDs and sphere detection. The benefits of spreading codes as well as joint iterative channel and data estimation are only a few of the radical new features of the book.
Also considered are the benefits of turbo and LDPC channel coding, the entire suite of known joint coding and modulation schemes, space-time coding as well as SDM/SDMA MIMOs within the context of various application examples. The book systematically converts the lessons of Shannon's information theory into design principles applicable to practical wireless systems; the depth of discussions increases towards the end of the book.
About the Authors xix
Other Wiley-IEEE Press Books on Related Topics xxi
Preface xxiii
Acknowledgments xxvii
List of Symbols xxix
1 Introduction to OFDM and MIMO-OFDM 1
1.1 OFDM History 1
1.2 OFDM Schematic 9
1.3 Channel Estimation for Multi-carrier Systems 12
1.4 Channel Estimation for MIMO-OFDM 15
1.5 Signal Detection in MIMO-OFDM Systems 16
1.6 Iterative Signal Processing for SDM-OFDM 21
1.7 System Model 22
1.8 SDM-OFDM System Model 29
1.9 Novel Aspects and Outline of the Book 33
1.10 Chapter Summary 36
2 OFDM Standards 37
2.1 Wi-Fi 37
2.2 3GPP LTE 38
2.3 WiMAX Evolution 39
2.4 Chapter Summary 59
Part I Coherently Detected SDMA-OFDM Systems 61
3 Channel Coding Assisted STBC-OFDM Systems 63
3.1 Introduction 63
3.2 Space-Time Block Codes 63
3.3 Channel-Coded STBCs 75
3.4 Channel Coding Aided STBC-OFDM 95
3.5 Chapter Summary 106
4 Coded Modulation Assisted Multi-user SDMA-OFDM Using Frequency-Domain Spreading 109
4.1 Introduction 109
4.2 System Model 110
4.3 Simulation Results 113
4.4 Chapter Summary 135
5 Hybrid Multi-user Detection for SDMA-OFDM Systems 139
5.1 Introduction 139
5.2 GA-Assisted MUD 140
5.3 Enhanced GA-based MUD 148
5.4 Chapter Summary 168
6 Direct-Sequence Spreading and Slow Subcarrier-Hopping Aided Multi-user SDMA-OFDM Systems 171
6.1 Conventional SDMA-OFDM Systems 171
6.2 Introduction to Hybrid SDMA-OFDM 172
6.3 Subband Hopping Versus Subcarrier Hopping 173
6.4 System Architecture 175
6.5 Simulation Results 188
6.6 Complexity Issues 196
6.7 Conclusions 197
6.8 Chapter Summary 197
7 Channel Estimation for OFDM and MC-CDMA 201
7.1 Pilot-Assisted Channel Estimation 201
7.2 Decision-Directed Channel Estimation 202
7.3 A Posteriori FD-CTF Estimation 203
7.4 A Posteriori CIR Estimation 206
7.5 Parametric FS-CIR Estimation 216
7.6 Time-Domain A Priori CIR Tap Prediction 223
7.7 PASTD-Aided DDCE 230
7.8 Channel Estimation for MIMO-OFDM 233
7.9 Chapter Summary 245
8 Iterative Joint Channel Estimation and MUD for SDMA-OFDM Systems 247
8.1 Introduction 247
8.2 System Overview 249
8.3 GA-Assisted Iterative Joint Channel Estimation and MUD 250
8.4 Simulation Results 259
8.5 Conclusions 268
8.6 Chapter Summary 268
Part II Coherent versus Non-coherent and Cooperative OFDM Systems 271
List of Symbols in Part II 273
9 Reduced-Complexity Sphere Detection for Uncoded SDMA-OFDM Systems 275
9.1 Introduction 275
9.2 Principle of SD 278
9.3 Complexity-Reduction Schemes for SD 289
9.4 Comparison of the Depth-First, K-Best and OHRSA Detectors 301
9.5 Chapter Conclusions 303
10 Reduced-Complexity Iterative Sphere Detection for Channel-Coded SDMA-OFDM Systems 307
10.1 Introduction 307
10.2 Channel-Coded Iterative Centre-Shifting SD 311
10.3 A Priori LLR-Threshold-Assisted Low-Complexity SD 334
10.4 URC-Aided Three-Stage Iterative Receiver Employing SD 343
10.5 Chapter Conclusions 353
11 Sphere-Packing Modulated STBC-OFDM and its Sphere Detection 357
11.1 Introduction 357
11.2 Orthogonal Transmit Diversity Design with SP Modulation 360
11.3 Sphere Detection Design for SP Modulation 369
11.4 Chapter Conclusions 376
12 Multiple-Symbol Differential Sphere Detection for Differentially Modulated Cooperative OFDM Systems 379
12.1 Introduction 379
12.2 Principle of Single-Path MSDSD 385
12.3 Multi-path MSDSD Design for Cooperative Communication 390
12.4 Chapter Conclusions 416
13 Resource Allocation for the Differentially Modulated Cooperation-Aided Cellular Uplink in Fast Rayleigh Fading Channels 419
13.1 Introduction 419
13.2 Performance Analysis of the Cooperation-Aided UL 421
13.3 CUS for the Uplink 432
13.4 Joint CPS and CUS for the Differential Cooperative Cellular UL Using APC 449
13.5 Chapter Conclusions 456
14 The Near-Capacity Differentially Modulated Cooperative Cellular Uplink 459
14.1 Introduction 459
14.2 Channel Capacity of Non-coherent Detectors 463
14.3 SISO MSDSD 465
14.4 Approaching the Capacity of the Differentially Modulated Cooperative Cellular Uplink 472
14.5 Chapter Conclusions 487
Part III Coherent SDM-OFDM Systems 491
List of Symbols in Part III 493
15 Multi-stream Detection for SDM-OFDM Systems 495
15.1 SDM/V-BLAST OFDM Architecture 495
15.2 Linear Detection Methods 496
15.3 Nonlinear SDM Detection Methods 501
15.4 Performance Enhancement Using Space-Frequency Interleaving 509
15.5 Performance Comparison and Discussion 511
15.6 Conclusions 512
16 Approximate Log-MAP SDM-OFDM Multi-stream Detection 515
16.1 OHRSA-Aided SDM Detection 515
17 Iterative Channel Estimation and Multi-stream Detection for SDM-OFDM 549
17.1 Iterative Signal Processing 549
17.2 Turbo Forward Error-Correction Coding 550
17.3 Iterative Detection-Decoding 552
17.4 Iterative Channel Estimation-Detection and Decoding 554
17.5 Chapter Summary 560
18 Summary, Conclusions and Future Research 563
18.1 Summary of Results 563
18.2 Suggestions for Future Research 587
A Appendix to Chapter 5 597
A.1 A Brief Introduction to Genetic Algorithms 597
A.2 Normalization of the Mutation-Induced Transition Probability 601
Glossary 603
Bibliography 611
Subject Index 641
Author Index 647
