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E-raamat: Space-Time Layered Information Processing for Wireless Communications

, (McMaster University)
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Discover cutting-edge research in wireless communications

This book presents cutting-edge research in wireless communications, particularly in the fast-growing subject of multiple-input multiple-output (MIMO) wireless communication systems. It begins with an introduction, which includes historical notes and a review of turbo-information processing and MIMO wireless communications, and goes on to cover:

  • MIMO channel capacity

  • BLAST architectures

  • Space-time turbo codes and turbo decoding principles

  • Turbo-BLAST

  • Turbo-MIMO systems

The material is complemented with abundant illustrations and computer experiments that are designed to help readers reinforce their understanding of the underlying subject matter. Space-Time Layered Information Processing for Wireless Communications is an ideal resource for researchers in academia and industry and an excellent textbook for related courses at the graduate level.

List of Tables ix
List of Figures xi
1 Introduction 1
1.1 Brief Historical Notes
1
1.2 Turbo-Information Processing
2
1.3 MIMO Wireless Communications
4
1.4 Organization of the Book
5
2 MIMO Channel Capacity 8
2.1 Introduction
8
2.2 Multiple-Input, Multiple-Output Antenna Systems
9
2.2.1 Basic Baseband Channel Model
10
2.3 Channel Capacity
13
2.3.1 Information Theory in Complex Multidimensional Gaussian Distribution
14
2.4 MIMO Capacity for a Channel Known at the Receiver
17
2.4.1 Ergodic Capacity
17
2.4.2 Two Other Special Cases of the Log-Det Formula: Capacities of Receive and Transmit Diversity Links
21
2.4.3 Outage Capacity
22
2.5 Channel Known at the Transmitter
27
2.5.1 Eigendecomposition of the Log-Det Capacity Formula
30
2.6 Summary and Discussion
31
3 BLAST Architectures 33
3.1 BLAST Architecture
35
3.2 Diagonal BLAST
37
3.2.1 The Diagonal-Layered Space-Time Codes
37
3.2.2 Serial Interference Cancellation Decoder
38
3.2.3 Capacity: Diagonal Layering of Space-Time
40
3.3 Vertical BLAST (V-BLAST)
40
3.3.1 OSIC Detection Algorithm [ 56]
42
3.3.2 Improved V-BLAST
44
3.3.3 Coded V-BLAST
45
3.3.4 Limitations of V-BLAST
46
3.3.5 Capacity: Vertical Layering of Space-Time
48
3.4 Stratified Diagonal BLAST (SD-BLAST)
49
3.4.1 Transmitter
49
3.4.2 Receiver
51
3.4.3 Differential Rates of Individual Strata
52
3.4.4 Asymptotic Capacity of SD-BLAST as L -- infinity
54
3.4.5 Differential Rates of Individual Plies When L -- infinity
56
3.4.6 Capacity versus Outage Performance for SD-BLAST and Channel Hardening
56
3.4.7 Capacity versus Outage: The Monte Carlo Method
58
3.5 Simulations on BLAST for the Matrix Rayleigh Channel
59
3.5.1 Outage Capacity versus SNR at the 10% Outage Level
59
3.5.2 Capacity Cumulative Density Function Comparison
61
3.6 Multirate Layered Space-Time Architecture
62
3.6.1 Encoder-Decoder Structure
65
3.6.2 Optimal Filters — with DSTI
68
3.6.3 Optimal Filters — without DSTI
69
3.7 Outage Capacity
70
3.7.1 Per-Layer Rates — without DSTI
71
3.7.2 Per-Layer Rates — with DSTI
73
3.8 Simulation Results
75
3.9 Summary and Discussion
77
Appendix: Optimality of D-BLAST
80
4 Space-Time Turbo Codes and Turbo Decoding Principles 83
4.1 Introduction
83
4.2 Turbo Codes
84
4.2.1 Parallel Concatenated Turbo Codes
84
4.2.2 Serial Concatenated Turbo Codes
88
4.2.3 SISO Decoders
90
4.2.4 Generalized BCJR Algorithm
91
4.2.5 The MAP Algorithm in the Log Domain (LOG-MAP Algorithm)
94
4.3 Interleaver Designs for Turbo Codes
96
4.3.1 Definition of Interleaver Spread
97
4.4 Space-Time Turbo Codes
100
4.4.1 Example Space-Time Turbo Codes
100
4.5 Multirate Layered Space-Time (MLST) Turbo Codes
104
4.6 Summary and Discussion
107
5 Turbo-BLAST 110
5.1 Introduction
110
5.2 T-BLAST: Basic Transmitter Considerations
110
5.2.1 Space-Time Interleaving
112
5.2.2 Intentional Time-Varying Channel
113
5.3 Optimal Detection
114
5.4 Distance Spectrum of RLST Codes
114
5.5 Iterative Decoding: Basic Considerations
119
5.5.1 Iterative Decoding Algorithm
120
5.6 Design and Performance of SISO Detectors
122
5.6.1 Performance Lower Bound
122
5.6.2 Detector Based on MAP Probability Estimation
123
5.6.3 Parallel Soft Interference Cancellation Receivers
125
5.6.4 Parallel Soft Interference Cancellation with Bootstrapping Channel Estimates
129
5.6.5 MMSE Receiver
132
5.7 Simulations on T-BLAST
134
5.7.1 Performance of PSIC Receivers
135
5.7.2 Performance of MMSE Receivers
137
5.7.3 MMSE versus MRC for T-BLAST
139
5.7.4 Interleaver Dependence
141
5.7.5 Results Using Indoor Channel Measurements
143
5.7.6 Results with Correlated Channels (Indoor and Outdoor Measurements)
147
5.7.7 Spectral Efficiency Using Real-Life Data
153
5.8 Summary and Discussion
157
5.9 Appendix
158
6 Turbo-MIMO Systems 160
6.1 Bit-Interleaved Coded Modulation
160
6.2 Turbo-MIMO Theory and ST-BICM
161
6.3 ST-BICM
162
6.4 Iterative Detection and Decoding
163
6.5 Suboptimal MIMO Detection
165
6.5.1 List-Sphere Detection
165
6.5.2 ITS Detection
167
6.5.3 Multilevel Mapping ITS Detection
168
6.5.4 Soft Interference Cancellation MMSE Detection
169
6.6 Simulation for Narrowband Turbo-MIMO
171
6.7 Wideband Turbo-MIMO (ST-BICM)
176
6.7.1 MIMO Equalizer
178
6.7.2 Iterative Trellis Search Equalization
180
6.7.3 Simulation for Wideband Turbo-MIMO
183
6.8 Summary
186
Appendix 6.1
187
Appendix 6.2
188
Bibliography 190
Index 201
Mathini Sellathurai, PhD, is Reader at the Institute of Electronics, Communications and Information Technology, Queen's University Belfast, United Kingdom. SIMON HAYKIN, PhD, is Distinguished University Professor at McMaster University, Ontario.
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