Practical Guide to MIMO Radio Channel with MATLAB Examples

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Edition: 1st
Format: Hardcover
Pub. Date: 2012-03-05
Publisher(s): Wiley
List Price: $147.50

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Summary

A comprehensive introduction to MIMO Radio Channel. An excellent reference to all who need a practical introduction to this topic. This book introduces the concept of the Multiple Input Multiple Output (MIMO) radio channel, which is an intelligent communication method based upon using multiple antennas. It explaines MIMO in layman's terms to help people working in related areas to become easily familiarised. The structure of the book has been carefully arranged to allow a user to progress steadily through the chapters and understand the fundamental and mathematical principles behind MIMO through the visual and explanatory way it is written. Provides a summary of the current channel modeling approaches used by industry, academia and standardisation bodies Contains experimental and measurement based results Provides a comprehensive down to earth approach with concise and visual explanations of MIMO Radio Channel Covers a variety of system scenarios and explains the trade-offs involved in each Accompanying website containing MATLAB code and solutions to related problems

Author Biography

Dr Tim Brown, University of Surrey, Guildford, UK is a lecturer in mobile communications at the University of Surrey, UK, where he is conducting research in MIMO as well as teaching courses and seminars that include introducing MIMO as well as other aspects of mobile communications.

Dr Persefoni Kyritsi, Aalborg University, Denmark has worked in wireless communications for Lucent Technologies Bell Labs, in wireline communications for Deutsche Telekom, Frankfurt, and in circuit design for Intel Corporation and the Nokia Research Center, Helsinki- Finland. In 2001 she joined Aalborg University as an assistant research professor. From September 2003 until August 2005, she was a visiting researcher at the Department of Mathematics, Stanford University. Since September 2005, she holds the position of Assistant Professor at the Antennas, Propagation and Radio Networking Section at Aalborg University

Dr Elisabeth De Carvalho, Aalborg University was a post-doc at Stanford University, USA in 1999-2001. In 2001-2005, she worked in 2 start-ups in the USA and France. She also held short-term positions at Deutsche Telekom, and Lucent Technologies, Bell Labs, USA. She has worked on several aspects of wireless communications (GSM, CDMA, OFDM, wireless LANs, IEEE 802.16) and wireline communications (xDSL). In 2005, she joined Aalborg University as an Associate Professor. She has managed a project in collaboration with Samsung Electronics, Korea including 20 researchers and focusing mainly on MIMO and relay communications.

Table of Contents

Prefacep. xi
List of Abbreviationsp. xiii
List of Symbolsp. xvii
Introductionp. 1
From SISO to MISO/SIMO to MIMOp. 2
Single Input Single Output SISOp. 2
Single Input Multiple Output, SIMO, and Multiple Input Single Output, MISOp. 3
Multiple Input Multiple Output, MIMOp. 6
What Do We Need MIMO For?p. 7
The Single User Perspectivep. 8
The Multiple User Perspectivep. 8
How Does MIMO Work? Two Analogiesp. 10
The Single User Perspectivep. 10
The Multiple User Perspectivep. 12
Conditions for MIMO to Workp. 13
How Long Has MMO Been Around?p. 14
Where is MIMO Being Used?p. 15
Purpose of the Bookp. 16
Capacity of MEMO Channelsp. 17
Some Background on Digital Communication Systemsp. 18
Generation of Digital Signalsp. 18
Conversion/Formatting for Transmissionp. 19
Complex Baseband Representationp. 19
Decoderp. 19
Notion of Capacityp. 20
Abstract Communication Systemp. 20
Definition of Capacityp. 22
Capacity Achieving Transceiversp. 23
Channel State Information and Fadingp. 24
Fast and Slow Fadingp. 24
Channel State Informationp. 26
Narrowband MIMO Modelp. 27
Capacity of the Time-Invariant Channelp. 28
Capacity of the Time-Invariant SISO Channelp. 29
Time-Invariant SIMO Channelp. 30
Time-Invariant MISO Channelp. 32
Time-Invariant MIMO Channel: A Set of Parallel Independent AWGN Channelsp. 34
Maximal Achievable Rate for Fixed Input Covariance Matrixp. 43
Fast Fading Channels with CSIT Distribution: Ergodic Capacityp. 46
Ergodic Capacity: Basic Principlesp. 47
Fast Fading SISO Channel with CSIT Distributionp. 47
Fast Fading SIMO Channel with CSIT Distributionp. 48
Fast Fading MISO Channel with CSIT Distributionp. 49
Fast Fading MIMO Channels with CSIT Distributionp. 49
Slow Fading Channel with CSIT Distribution: Outage Probability and Capacity with Outagep. 54
Outage: Basic Principlesp. 55
Diversity to Improve Communication Reliabilityp. 57
Slow Fading SISO Channels with CSIT Distributionp. 58
Slow Fading SIMO Channel with CSIT Distribution: Receive Diversityp. 60
Slow Fading MISO Channel with CSIT Distribution: Transmit Diversityp. 60
Slow Fading MIMO Channel with CSIT Distributionp. 62
Chapter Summary Tablesp. 67
Further Readingp. 73
MTMO Transceiversp. 75
MTMO Receiversp. 76
General MIMO Architecturep. 76
Maximum Likelihood Receiverp. 78
Classes of Receivers Considered in the Chapterp. 78
Spatial Matched Filteringp. 80
Zero Forcing Receiverp. 86
MMSE Receiverp. 92
SIC Receiver and V-Blastp. 97
Performancep. 103
Transceivers with CSI at Transmitter and Receiver: Transmit and Receive Beamformingp. 108
Principle of Beamformingp. 108
Multiple Transmit and Receive Beamsp. 109
Transmit Beamforming (MISO System)p. 111
Receive Beamforming (SIMO)p. 112
Single Beam MIMO: Maximal Eigenmode Beamformingp. 113
Eigenmode Transmissionp. 114
Performance of Beamforming Schemesp. 118
Space-Time Block Codesp. 122
Orthogonal Design for a 2 × 1 MISO System: Alamouti STBCp. 123
STBC for More than Two Transmit Antennasp. 128
D-Blastp. 133
Diagonal Encodingp. 133
Diagonal Decodingp. 134
D-Blast: Outage Optimalp. 135
Performance Gainsp. 135
Error Propagationp. 136
Numerical Evaluations: Comparison of D-Blast with STBCp. 136
Chapter Summary Tablesp. 138
Further Readingp. 143
MEMO Channel Modelsp. 145
SISO Models and Channel Fundamentalsp. 146
Models for the Prediction of the Powerp. 146
Models for the Prediction of the Temporal Variation of the Channelp. 152
Narrowband and Wideband Channelsp. 160
Polarisationp. 166
Summaiy of Parameters Required for SISO Channel Modellingp. 167
Challenges in MIMO Channel Modellingp. 167
Deterministic Modelsp. 169
Stochastic Modelsp. 111
Summaryp. 190
MTMO Antenna Designp. 193
Antenna Element Fundamentalsp. 194
Isotropic Radiatorp. 194
Directivity and Gainp. 195
Far Field and Rayleigh Distancep. 196
Three Dimensional Antenna Patternsp. 197
Impedance and Return Lossp. 198
Reciprocityp. 199
Antenna Polarisationp. 199
Mean Effective Gainp. 202
Single Antenna Designp. 205
Designing Array Antennas for MIMOp. 207
Spatial Correlationp. 207
Angular and Polarised Correlationp. 209
Impact of Nonuniform Angles of Arrivalp. 211
Impact of Antenna Design on the MIMO Radio Channelp. 212
Evaluating Antenna Impact on the MTMO Channelp. 217
A Crude Evaluation of the Impact of Antennas on MIMO Channel Capacityp. 217
Advanced Techniques to Evaluate MIMO Antenna Performancep. 219
Challenges in Compact MIMO Antenna Design and Examplesp. 221
Summaryp. 223
Antenna Fundamentalsp. 223
Designing Antenna Arraysp. 223
Practical Antennas for MIMOp. 223
MEMO in Current and Future Standardsp. 225
Wireless Channel Modelling in Standardsp. 225
Current Wireless Standards Employing MTMO and the Corresponding Channel Modelsp. 228
IEEE 802.11np. 228
IEEE 802.16-WiMAXp. 231
3GPP-LTEp. 235
Comparison of the IEEE 802.11n, WiMAX and 3GPP Modelsp. 238
MTMO in Other Areasp. 240
MIMO for DVB-T2p. 240
MIMO in the HF Bandp. 241
MIMO for Satellite Communicationsp. 242
Ultrawideband MIMOp. 242
MIMO for On-body Communicationsp. 243
MIMO for Vehicular Communicationsp. 244
MIMO in Small Cellular Environmentsp. 244
Concluding Remarks and Future Wireless Systemsp. 245
Appendix: Some Useful Definitionsp. 247
Bibliographyp. 251
Indexp. 257
Table of Contents provided by Ingram. All Rights Reserved.

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