Multiple-Input Multiple-Output Channel Models: Theory and Practice

Multiple-Input Multiple-Output Channel Models: Theory and Practice

by Nelson Costa, Simon Haykin
Released April 2010
Publisher(s): Wiley-Interscience
ISBN: 9780470399835

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Book description

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

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.

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.

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright
  4. Dedication
  5. Contents
  6. PREFACE
  7. ACKNOWLEDGMENTS
  8. 1: INTRODUCTION
    1. 1.1 HISTORICAL PERSPECTIVE
    2. 1.2 MIMO COMMUNICATIONS
    3. 1.3 MIMO CHANNEL MODELS
    4. 1.4 SOFTWARE DEFINED RADIO
    5. 1.5 OVERVIEW
  9. 2: MULTIPLE ANTENNA CHANNELS AND CORRELATION
    1. 2.1 THE RADIO CHANNEL: DEFINITIONS
    2. 2.2 CHANNEL CLASSIFICATIONS
    3. 2.3 SUMMARY OF CHANNEL CLASSIFICATIONS
    4. 2.4 SECOND-ORDER STATISTICS OF MULTIPLE ANTENNA CHANNELS
    5. 2.5 SECOND-ORDER STATISTICS OF THE WIDEBAND MIMO CHANNEL
    6. 2.6 SPATIAL STRUCTURE OF MULTIPLE ANTENNA CHANNELS
    7. 2.6.1 SIMO Channels and Beamformers
    8. 2.7 SUMMARY AND DISCUSSION
    9. 2.8 NOTES AND REFERENCES
  10. 3: CORRELATIVE MODELS
    1. 3.1 VECTOR CHANNEL SYNTHESIS FROM THE VECTOR CORRELATION MATRIX
    2. 3.2 MATRIX CHANNEL SYNTHESIS FROM THE NARROWBAND CORRELATION MATRIX
    3. 3.3 ONE-SIDED CORRELATION FOR NARROWBAND MIMO CHANNELS
    4. 3.4 THE KRONECKER MODEL
    5. 3.5 THE WEICHSELBERGER MODEL
    6. 3.6 THE STRUCTURED MODEL
    7. 3.7 SUMMARY AND DISCUSSION
    8. 3.8 NOTES AND REFERENCES
  11. 4: CLUSTER MODELS
    1. 4.1 WHAT IS A CLUSTER?
    2. 4.2 THE SALEH-VALENZUELA MODEL
    3. 4.3 CLUSTERS IN TIME AND SPACE
    4. 4.4 THE EXTENDED SALEH-VALENZUELA MODEL
    5. 4.5 THE COST 273 MODEL
    6. 4.6 THE RANDOM CLUSTER MODEL
    7. 4.7 SUMMARY AND DISCUSSION
    8. 4.8 NOTES AND REFERENCES
  12. 5: CHANNEL SOUNDING
    1. 5.1 INTRODUCTION
    2. 5.2 THE WMSDR
    3. 5.3 NARROWBAND CHANNEL SOUNDING
    4. 5.4 WIDEBAND SOUNDING: CORRELATIVE SOUNDING
    5. 5.5 WIDEBAND SOUNDING: SAMPLED SPECTRUM CHANNEL SOUNDING
    6. 5.6 SWITCHED-ARRAY ARCHITECTURES
    7. 5.7 TIMING AND CARRIER RECOVERY
    8. 5.8 SUMMARY AND DISCUSSION
    9. 5.9 NOTES AND REFERENCES
  13. 6: EXPERIMENTAL VERIFICATIONS
    1. 6.1 VALIDATION METRICS
    2. 6.2 WMSDR EXPERIMENTAL SETUP
    3. 6.3 BYU WIDEBAND CHANNEL SOUNDER EXPERIMENTAL SETUP
    4. 6.4 EXPERIMENTAL RESULTS
    5. 6.5 DISCUSSION
    6. 6.6 SUMMARY AND DISCUSSION
    7. 6.7 NOTES AND REFERENCES
  14. APPENDIX A: AN INTRODUCTION TO TENSOR ALGEBRA
    1. A.1 NOTATION AND TENSOR ORDER
    2. A.2 THE HOSVD AND RELEVANT TENSOR ALGEBRA
    3. A.3 SUMMARY
  15. APPENDIX B: PROOF OF THEOREMS FROM CHAPTER 3
    1. B.1 PROOF OF ( 3.53 )
    2. B.2 PROOF OF ( 3.54 )
    3. B.3 PROOF OF ( 3.56 )
    4. B.4 PROOF OF ( 3.57 )
  16. APPENDIX C: COST 273 MODEL SUMMARY
    1. C.1 COST 273 MODEL PARAMETERS
    2. C.2 COST 273 ENVIRONMENTS
    3. C.3 RCM MODEL SUMMARY
    4. C.4 FUNCTION ATAN2
  17. GLOSSARY
    1. OPERATORS
    2. ABBREVIATIONS
  18. BIBLIOGRAPHY
  19. INDEX

Product information

  • Title: Multiple-Input Multiple-Output Channel Models: Theory and Practice
  • Author(s): Nelson Costa, Simon Haykin
  • Release date: April 2010
  • Publisher(s): Wiley-Interscience
  • ISBN: 9780470399835