Rent 9780470399835 | Multiple-Input Multiple-Output Channel Models : Theory and Practice | Costa, Nelson; Haykin, Simon @knetbooks.com

Summary Table of Contents Author Biography

The emerging wireless technology Wideband Multiple-Input, Multiple-Output (MIMO) holds the promise of greater bandwidth efficiency and wireless link reliability. This technology is just now being implemented into hardware and working its way into wireless standards such as the ubiquitous 802.11g, as well as third-and fourth-generation cellular standards.

Because Wideband Multiple Input and Multiple Output (MIMO) technology is just now being implemented in hardware, there is currently a great desire for knowledge of... MORE both the theory and practicality of its channels.

A complete discussion of MIMO communications, from theory to real-world applications

Multiple-Input Multiple-Output Channel Models uniquely brings together the theoretical and practical aspects of MIMO communications, revealing how these systems use their multipath diversity to increase channel capacity. It gives the reader a clear understanding of the underlying propagation mechanisms in the wideband MIMO channel, which is fundamental to the development of communication algorithms, signaling strategies, and transceiver design for MIMO systems.

MIMO channel models are important tools in understanding the potential gains of a MIMO system. This book discusses two types of wideband MIMO models in detail: correlative channel models?specifically the Kronecker, Weichselberger, and structured models?and cluster models, including Saleh-Valenzuela, European Cooperation in the field of Scientific and Technical Research (COST) 273, and Random Cluster models. From simple to complex, the reader will understand the models' mechanisms and the reasons behind the parameters. Next, channel sounding is explained in detail, presenting the theory behind a few channel sounding techniques used to sound narrowband and wideband channels. The technique of digital matched filtering is then examined and, using real-life data, is shown to provide very accurate estimates of channel gains. The book concludes with a performance analysis of the structured and Kronecker models.

Multiple-Input Multiple-Output Channel Models is the first book to apply tensor calculus to the problem of wideband MIMO channel modeling. Each chapter features a list of important references, including core literary references, Matlab implementations of key models, and the location of databases that can be used to help in the development of new models or communication algorithms. Engineers who are working in the development of telecommunications systems will find this resource invaluable, as will researchers and students at the graduate or post-graduate level.

Preface	p. xiii
Acknowledgments	p. xv
Introduction	p. 1
Historical Perspective	p. 1
Electromagnetism	p. 1
The Hertz Transmitter	p. 3
Tesla and Wireless Power	p. 4
Lodge and Tunable Circuits	p. 4
Marconi and Trans-Atlantic Communication	p. 5
MIMO Communications	p. 6
MIMO Channel Models... MORE	p. 9
The Channel Model Spectrum	p. 9
Wideband MTMO Channel Models	p. 11
Software Defined Radio	p. 12
Overview	p. 14
Chapter 2: Multiple Antenna Channels and Correlation	p. 14
Chapter 3: Correlative Models	p. 15
Chapter 4: Cluster Models	p. 15
Chapter 5: Channel Sounding	p. 16
Chapter 6: Experimental Verifications	p. 16
Appendixes: Background and Definitions	p. 17
Multiple Antenna Channels and Correlation	p. 19
The Radio Channel: Definitions	p. 19
The Physical Channel	p. 19
The Analytical Channel	p. 20
Channel Classifications	p. 21
Linear Time-Invariant Channels	p. 21
Time-Invariant Narrowband Channels	p. 23
Time-Varying Wideband Channels and Bello's Model	p. 23
The Tapped-Delay Line Model and the Physical Channel	p. 27
Narrowband Diversity Channels	p. 29
The Narrowband MIMO Channel	p. 31
The Wideband MIMO Channel	p. 32
The Wideband MIMO Channel Recast Using Tensors	p. 33
Summary of Channel Classifications	p. 34
Second-Order Statistics of Multiple Antenna Channels	p. 34
Second-Order Statistics of the Vector Channel	p. 36
Second-Order Statistics of the Narrowband MIMO Channel	p. 36
Second-Order Statistics of the Wideband MIMO Channel	p. 39
Eigenvalue Decomposition of the Wideband Correlation Matrix	p. 41
Spatial Structure of Multiple Antenna Channels	p. 42
SIMO Channels and Beamformers	p. 42
MIMO Beamformers	p. 47
Summary and Discussion	p. 51
Channel Classifications	p. 51
Multiantenna Channels	p. 51
Spatial Structure and the APS	p. 52
Notes and References	p. 52
Channel Classifications	p. 52
Second-Order Statistics of Multiantenna Channels	p. 53
The Spatial Structure of Multiantenna Channels	p. 53
Correlative Models	p. 55
Vector Channel Synthesis from the Vector Correlation Matrix	p. 56
Matrix Channel Synthesis from the Narrowband Correlation Matrix	p. 57
Number of Model Parameters	p. 57
One-Sided Correlation for Narrowband MIMO Channels	p. 58
The Kronecker Model	p. 59
The Narrowband Kronecker Model	p. 59
The Wideband Kronecker Model	p. 61
Notes on the Narrowband and Wideband Kronecker Models	p. 61
The Weichselberger Model	p. 63
The Vector Mode Model	p. 63
H-matrix from Structured Vector Modes	p. 64
The Structured Model	p. 66
H-tensor Synthesis from the Wideband Correlation Tensor	p. 67
One-Sided Correlation for Wideband MIMO Channels	p. 68
Approximating the Wideband Correlation Matrix	p. 70
Number of Parameters Comparison	p. 72
Summary and Discussion	p. 73
The Kronecker Model	p. 73
The Weichselberger Model	p. 73
The Structured Model	p. 74
Notes and References	p. 74
Correlative Models	p. 74
Tensor Decomposition	p. 75
Cluster Models	p. 77
What is a Cluster?	p. 78
The Saleh-Valenzuela Model	p. 79
Model Summary	p. 81
Model Implementation	p. 83
Some Typical Parameters	p. 83
Clusters in Time and Space	p. 83
Azimuth, Elevation, and Delay Spreads	p. 84
The Extended Saleh-Valenzuela Model	p. 86
The COST 273 Model	p. 87
Generic Channel Model	p. 87
Environments	p. 89
Receiver, Transmitter Placement	p. 89
COST 273 Procedure	p. 90
Features Not Yet Implemented and Omissions	p. 98
Disadvantages and Advantages: COST 273	p. 100
The Random Cluster Model	p. 101
General Description	p. 101
Determining the Environment PDF	p. 105
Advantages and Disadvantages: The RCM	p. 107
Summary and Discussion	p. 108
Notes and References	p. 109
Channel Sounding	p. 111
Introduction	p. 111
The WMSDR	p. 112
Transmission	p. 112
Reception	p. 115
Timing and Carrier Offsets	p. 118
Narrowband Channel Sounding	p. 118
Periodic Pulse Sounding	p. 118
Narrowband Single-Input, Single-Output Channel Sounding	p. 120
Narrowband MIMO Channel Sounding	p. 121
Wideband Sounding; Correlative Sounding	p. 122
ML Sequences	p. 124
Cross-correlation Using the FFT	p. 126
Digital Matched Filters	p. 127
Wideband Sounding: Sampled Spectrum Channel Sounding	p. 134
Switched-Array Architectures	p. 136
Timing and Carrier Recovery	p. 137
Digital Timing Recovery Methods	p. 140
Phase Recovery Using a Decision-Directed Feedback Loop	p. 152
Summary and Discussion	p. 157
Notes and References	p. 158
Experimental Verifications	p. 159
Validation Metrics	p. 160
Channel Capacity	p. 160
The Diversity and Correlation Metrics	p. 161
The Demmel Condition Number	p. 162
The Environmental Characterization Metric	p. 163
Correlation Matrix Difference Metric	p. 165
WMSDR Experimental Setup	p. 166
Terminology	p. 166
Measurement Description	p. 166
BYU Wideband Channel Sounder Experimental Setup	p. 167
BYU Transmitter Set	p. 167
BYU Receiver Set	p. 168
Measurement Description	p. 169
Experimental Results	p. 170
Capacity Measure: Methodology	p. 171
Results: MTMO APS and Spatial Structure	p. 176
Results: Wideband Correlation Matrices	p. 181
Discussion	p. 184
Accuracy of the Results	p. 184
Sources of Error	p. 184
Summary and Discussion	p. 185
Notes and References	p. 186
An Introduction to Tensor Algebra	p. 187
Proof of Theorems from Chapter 3	p. 193
COST 273 Model Summary	p. 201
Glossary	p. 207
Bibliography	p. 211
Index	p. 221
Table of Contents provided by Ingram. All Rights Reserved.

Nelson Costa, PHD, is President and CEO of Deus Ex Machina Consulting Inc. Simon Haykin is Distinguished University Professor at McMaster University, Ontario, Canada.

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