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.

* Discusses many state-of-the-art topics important to today's
wireless communications engineers.

* Includes numerous complete system design examples for the
industrial practitioner.

* Offers a detailed portrayal of sphere detection.

* Based on over twenty years of research into OFDM in the context
of various applications, subsequently presenting comprehensive
bibliographies.

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.

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.

• Discusses many state-of-the-art topics important to today's wireless communications engineers.
• Includes numerous complete system design examples for the industrial practitioner.
• Offers a detailed portrayal of sphere detection.
• Based on over twenty years of research into OFDM in the context of various applications, subsequently presenting comprehensive bibliographies.

About the Authors xix

Other WileyIEEE 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 SpaceTime 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.…