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Space-Time Processing for MIMO Communications

Alex Gershman (Edited by), AB Gershman (Author), Nikos Sidiropoulos (Edited by)

9780470010020, Wiley

Hardback, published 19 April 2005

400 pages
25.4 x 17.2 x 2.7 cm, 0.879 kg

Driven by the desire to boost the quality of service of wireless systems closer to that afforded by wireline systems, space-time processing for multiple-input multiple-output (MIMO) wireless communications research has drawn remarkable interest in recent years. Exciting theoretical advances have been complemented by rapid transition of research results to industry products and services, thus creating a vibrant new area.

Space-time processing is a broad area, owing in part to the underlying convergence of information theory, communications and signal processing research that brought it to fruition. This book presents a balanced and timely introduction to space-time processing for MIMO communications, including highlights of emerging trends, such as spatial multiplexing and joint transceiver optimization.

  • Includes detailed coverage of wireless channel sounding, modelling, characterization and model validation.
  • Provides state-of-the-art research results on space-time coding, including comprehensive tutorial coverage of orthogonal space-time block codes.    
  • Discusses important recent developments in spatial multiplexing, transmit beam-forming, pre-coding and joint transceiver design for the multi-user MIMO downlink using full or partial CSI.
  • Illustrates all theory with numerous examples gleaned from cutting-edge research from around the globe.

This valuable resource will appeal to engineers, developers and consultants involved in the design and implementation of space-time processing for MIMO communications. Its accessible format, amply illustrated with real world case studies, contains relevant, detailed advice for postgraduate students and researchers specializing in this field.

List of Contributors xi
Preface xiii
Acknowledgements xvii

1 MIMO Wireless Channel Modeling and Experimental Characterization 1
Michael A. Jensen and Jon W. Wallace

1.1 Introduction 1
1.2 MIMO Channel Measurement 5
1.3 MIMO Channel Models 13
1.4 The Impact of Antennas on MIMO Performance 24

2 Multidimensional Harmonic Retrieval with Applications in MIMO Wireless Channel Sounding 41
Xiangqian Liu, Nikos D. Sidiropoulos, and Tao Jiang

2.1 Introduction 41
2.2 Harmonic Retrieval Data Model 43
2.3 Identifiability of Multidimensional Harmonic Retrieval 46
2.4 Multidimensional Harmonic Retrieval Algorithms 53
2.5 Numerical Examples 59
2.6 Multidimensional Harmonic Retrieval for MIMO Channel Estimation 61
2.7 Concluding Remarks 70

3 Certain Computations Involving Complex Gaussian Matrices with Applications to the Performance Analysis of MIMO Systems 77
Ming Kang, Lin Yang, and Mohamed-Slim Alouini

3.1 Introduction 77
3.2 Performance Measures of Multiple Antenna Systems 78
3.3 Some Mathematical Preliminaries 85
3.4 General Calculations with MIMO Applications 87
3.5 Summary 101

4 Recent Advances in Orthogonal Space-Time Block Coding 105
Mohammad Gharavi-Alkhansari, Alex B. Gershman, and Shahram Shahbazpanahi

4.1 Introduction 105
4.2 Notations and Acronyms 106
4.3 Mathematical Preliminaries 106
4.4 MIMO System Model and OSTBC Background 108
4.5 Constellation Space Invariance and Equivalent Array-Processing-Type MIMO Model 111
4.6 Coherent ML Decoding 115
4.7 Exact Symbol Error Probability Analysis of Coherent ML Decoder 119
4.8 Optimality Properties of OSTBCs 133
4.9 Blind Decoding of OSTBCs 145
4.10 Multiaccess MIMO Receivers for OSTBCs 157
4.11 Conclusions 163

5 Trace-Orthogonal Full Diversity Cyclotomic Space-Time Codes 169
Jian-Kang Zhang, Jing Liu, and Kon Max Wong

5.1 Introduction 169
5.2 Channel Model with Linear Dispersion Codes 172
5.3 Good Structures for LD Codes: Trace Orthogonality 174
5.4 Trace-orthogonal LD Codes 182
5.5 Construction of Trace Orthogonal LD Codes 187
5.6 Design of Full Diversity LD Codes 192
5.7 Design of Full Diversity Linear Space-time Block Codes for N < M 197
5.8 Design Examples and Simulations 200
5.9 Conclusion 204

6 Linear and Dirty-Paper Techniques for the Multiuser MIMO Downlink 209
Christian B. Peel, Quentin H. Spencer, A. Lee Swindlehurst, Martin Haardt, and Bertrand M. Hochwald

6.1 Introduction 209
6.2 Background and Notation 212
6.3 Single Antenna Receivers 217
6.4 Multiple Antenna Receivers 227
6.5 Open Problems 234
6.6 Summary 236

7 Antenna Subset Selection in MIMO Communication Systems 245
Alexei Gorokhov, Dhananjay A. Gore, and Arogyaswami J. Paulraj

7.1 Introduction 245
7.2 SIMO/MISO Selection 247
7.3 MIMO Selection 251
7.4 Diversity and Multiplexing with MIMO Antenna Selection 254
7.5 Receive Antenna Selection Algorithms 259
7.6 Antenna Selection in MIMO Wireless LAN Systems 262
7.7 Summary 265

8 Convex Optimization Theory Applied to Joint Transmitter-Receiver Design in MIMO Channels 269
Daniel Perez Palomar, Antonio Pascual-Iserte, John M. Cioffi, and Miguel Angel Lagunas

8.1 Introduction 269
8.2 Convex Optimization Theory 271
8.3 System Model and Preliminaries 281
8.4 Beamforming Design for MIMO Channels: A Convex Optimization Approach 284
8.5 An Application to Robust Transmitter Design in MIMO Channels 298
8.6 Summary 311

9 MIMO Communications with Partial Channel State Information 319
Shengli Zhou and Georgios B. Giannakis

9.1 Introduction 319
9.2 Partial CSI Models 319
9.3 Capacity-Optimal Designs 323
9.4 Error Performance Oriented Designs 331
9.5 Adaptive Modulation with Partial CSI 347
9.6 Conclusions 352

Appendix 352
References 353
Index 357

Subject Areas: Electronics & communications engineering [TJ]
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