MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11a, IEEE 802.11n), wireless PAN (MB-OFDM), and broadcasting (DAB, DVB, DMB). In MIMO-OFDM Wireless Communications with MATLAB¯®, the authors provide a comprehensive introduction to the theory and practice of wireless channel modeling, OFDM, and MIMO, using MATLAB¯® programs to simulate the various techniques on MIMO-OFDM systems. * One of the only books in the area dedicated to explaining simulation aspects * Covers implementation to help cement the key concepts * Uses materials that have been classroom-tested in numerous universities * Provides the analytic solutions and practical examples with downloadable MATLAB¯® codes * Simulation examples based on actual industry and research projects * Presentation slides with key equations and figures for instructor use MIMO-OFDM Wireless Communications with MATLAB¯® is a key text for graduate students in wireless communications. Professionals and technicians in wireless communication fields, graduate students in signal processing, as well as senior undergraduates majoring in wireless communications will find this book a practical introduction to the MIMO-OFDM techniques. Instructor materials and MATLAB¯® code examples available for download at href="http://www.wiley.com/go/chomimo">style="color: #284457;">www.wiley.com/go/chomimo

Yong Soo Cho is a Professor of Electronic Engineering at Chung-Ang University in Seoul, Korea. He has taught OFDM for 10 years and MIMO for 5. His research interests are in the areas of digital communication, digital signal processing, and FPGA Implementation. Cho has held positions at LG Electronics, the ETRI Mobile Communication Group, the WiBro Project Group, and was Chairman of the Wireless Access Working Group in Korea. He holds a BS from Chung-Ang University, an MS from Yonsei University, and a PhD from the University of Texas at Austin, all in electronic engineering.

Jaekwon Kim is an Assistant Professor of Computer and Telecommunications Engineering at Yonsei University. Prior to that he worked at Samsung Advanced Institute of Technology with the 4G System Team. He holds a BS and MS from Chung-Ang University and a PhD from the University of Texas at Austin, all in electronic engineering.

Won Y. Yang is a Professor of Electronic Engineering at Chung-Ang University. He has written two books on MATLAB in English, and two in Korean. Yang holds a BS and MS in Electrical Engineering from Seoul National University, an MS in Applied Math and a PhD in Electrical Engineering from the University of Southern California.

Chung Gu Kang is a Professor of Radio Communication and Engineering at Korea University. Previous work experience inlcudes time in the US spent at the Aerospace Corporation and Rockwell International, where he worked on telecommunications systems development. He was also a Visiting Associate Professor at the UC San Diego. His research interests are focesed on the cross layer design issues for MIMO/multiple access schemes for mobile broadband wireless access systems and MAC/routing protocols for mobile ad hoc networks. Kang holds a BS from UC San Diego and an MS and PhD in Electrical Engineering and Computer Engineering from UC Irvine.

Preface xiii

Limits of Liability and Disclaimer of Warranty of Software xv

1 The Wireless Channel: Propagation and Fading 1

1.1 Large-Scale Fading 4

1.1.1 General Path Loss Model 4

1.1.2 Okumura/Hata Model 8

1.1.3 IEEE 802.16d Model 10

1.2 Small-Scale Fading 15

1.2.1 Parameters for Small-Scale Fading 15

1.2.2 Time-Dispersive vs. Frequency-Dispersive Fading 16

1.2.3 Statistical Characterization and Generation of Fading Channel 19

2 SISO Channel Models 25

2.1 Indoor Channel Models 25

2.1.1 General Indoor Channel Models 26

2.1.2 IEEE 802.11 Channel Model 28

2.1.3 Saleh-Valenzuela (S-V) Channel Model 30

2.1.4 UWB Channel Model 35

2.2 Outdoor Channel Models 40

2.2.1 FWGN Model 41

2.2.2 Jakes Model 50

2.2.3 Ray-Based Channel Model 54

2.2.4 Frequency-Selective Fading Channel Model 61

2.2.5 SUI Channel Model 65

3 MIMO Channel Models 71

3.1 Statistical MIMO Model 71

3.1.1 Spatial Correlation 73

3.1.2 PAS Model 76

3.2 I-METRA MIMO Channel Model 84

3.2.1 Statistical Model of Correlated MIMO Fading Channel 84

3.2.2 Generation of Correlated MIMO Channel Coefficients 88

3.2.3 I-METRA MIMO Channel Model 90

3.2.4 3GPP MIMO Channel Model 94

3.3 SCM MIMO Channel Model 97

3.3.1 SCM Link-Level Channel Parameters 98

3.3.2 SCM Link-Level Channel Modeling 102

3.3.3 Spatial Correlation of Ray-Based Channel Model 105

4 Introduction to OFDM 111

4.1 Single-Carrier vs. Multi-Carrier Transmission 111

4.1.1 Single-Carrier Transmission 111

4.1.2 Multi-Carrier Transmission 115

4.1.3 Single-Carrier vs. Multi-Carrier Transmission 120

4.2 Basic Principle of OFDM 121

4.2.1 OFDM Modulation and Demodulation 121

4.2.2 OFDM Guard Interval 126

4.2.3 OFDM Guard Band 132

4.2.4 BER of OFDM Scheme 136

4.2.5 Water-Filling Algorithm for Frequency-Domain Link Adaptation 139

4.3 Coded OFDM 142

4.4 OFDMA: Multiple Access Extensions of OFDM 143

4.4.1 Resource Allocation Subchannel Allocation Types 145

4.4.2 Resource Allocation Subchannelization 146

4.5 Duplexing 150

5 Synchronization for OFDM 153

5.1 Effect of STO 153

5.2 Effect of CFO 156

5.2.1 Effect of Integer Carrier Frequency Offset (IFO) 159

5.2.2 Effect of Fractional Carrier Frequency Offset (FFO) 160

5.3 Estimation Techniques for STO 162

5.3.1 Time-Domain Estimation Techniques for STO 162

5.3.2 Frequency-Domain Estimation Techniques for STO 168

5.4 Estimation Techniques for CFO 170

5.4.1 Time-Domain Estimation Techniques for CFO 170

5.4.2 Frequency-Domain Estimation Techniques for CFO 173

5.5 Effect of Sampling Clock Offset 177

5.5.1 Effect of Phase Offset in Sampling Clocks 177

5.5.2 Effect of Frequency Offset in Sampling Clocks 178

5.6 Compensation for Sampling Clock Offset 178

5.7 Synchronization in Cellular Systems 180

5.7.1 Downlink Synchronization 180

5.7.2 Uplink Synchronization 183

6 Channel Estimation 187

6.1 Pilot Structure 187

6.1.1 Block Type 187

6.1.2 Comb Type 188

6.1.3 Lattice Type 189

6.2 Training Symbol-Based Channel Estimation 190

6.2.1 LS Channel Estimation 190

6.2.2 MMSE Channel Estimation 191

6.3 DFT-Based Channel Estimation 195

6.4 Decision-Directed Channel Estimation 199

6.5 Advanced Channel Estimation Techniques 199

6.5.1 Channel Estimation Using a Superimposed Signal 199

6.5.2 Channel Estimation in Fast Time-Varying Channels 201

6.5.3 EM Algorithm-Based Channel Estimation 204

6.5.4 ...