Channel-Adaptive Technologies and Cross-Layer Designs for Wireless Systems with Multiple Antennas: Theory and Applications

544 Pages·2006·6.2 MB·English

by  Vincent K.N. Lau

Channel-Adaptive
Technologies and
Cross-Layer Designs
for Wireless
Systems with
Multiple Antennas
Theory and Applications
Vincent K. N. Lau
The Hong Kong University of Science and Technology
Yu Kwong Ricky Kwok
The University of Hong Kong
AJOHN WILEY & SONS, INC., PUBLICATION
Channel-Adaptive
Technologies and
Cross-Layer Designs
for Wireless
Systems with
Multiple Antennas

Channel-Adaptive
Technologies and
Cross-Layer Designs
for Wireless
Systems with
Multiple Antennas
Theory and Applications
Vincent K. N. Lau
The Hong Kong University of Science and Technology
Yu Kwong Ricky Kwok
The University of Hong Kong
AJOHN WILEY & SONS, INC., PUBLICATION
Copyright © 2006 by John Wiley & Sons,Inc.All rights reserved.
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Library of Congress Cataloging-in-Publication Data:
Lau,Vincent K.N.
Channel adaptive technologies and cross layer designs for wireless systems with multiple
antennas :theory and applications / Vincent K.N.Lau,Yu-Kwong Ricky Kwok.
p. cm.
ISBN-13:978-0-471-64865-9
ISBN-10:0-471-64865-5
1. Wireless communication systems—Design and construction. I. Kwok,Yu-Kwong
Ricky. II. Title.
TK5103.4.L56 2006 2005043673
Printed in the United States of America.
10 9 8 7 6 5 4 3 2 1
To our wives:Elvina and Fion

CONTENTS
List of Figures xvii
List of Tables xxv
Preface xxvii
Acknowledgments xxxv
PART 1 THEORY 1
Chapter 1 Basic Concepts in Wireless Communications 3
1.1 Overview 3
1.2 Wireless Channel Models 3
1.2.1 AWGN Channel Model 4
1.2.2 Linear Time-Varying Deterministic Spatial Channel 4
1.2.3 The Random Channels 12
1.2.4 Frequency-Flat Fading Channels 17
1.2.5 Frequency-Selective Fading Channels 18
1.3 Equivalence of Continuous-Time and Discrete-Time Models 19
1.3.1 Concepts of Signal Space 20
1.3.2 Sufficient Statistics 20
1.3.3 Discrete-Time Signal Model—Flat Fading 20
1.3.4 Discrete-Time Channel Model—Frequency-Selective
Fading 28
1.4 Fundamentals of Information Theory 30
1.4.1 Entropy and Mutual Information 31
1.4.2 Shannon’s Channel Coding Theorem 36
1.4.3 Examples of Channel Capacity 46
1.5 Summary 54
Exercises 54
vii
viii CONTENTS
Chapter 2 MIMO Link with Perfect Channel
State Information 59
2.1 Overview 59
2.2 Mathematical Model of the MIMO Link 60
2.2.1 Probabilistic Channels with States 61
2.2.2 General Transmission and CSI Feedback Model 64
2.2.3 Adaptive-Channel Encoding and Decoding 65
2.2.4 Transmit Power Constraint 66
2.2.5 Causal Feedback Constraint 67
2.3 Ergodic and Outage Channel Capacity 67
2.3.1 Ergodic Capacity 68
2.3.2 Outage Capacity 68
2.4 Channel Capacity with No CSIT and No CSIR 69
2.4.1 Fast Flat Fading MIMO Channels 70
2.4.2 Block Fading Channels 70
2.5 Channel Capacity with Perfect CSIR 72
2.5.1 Block Fading Channels 73
2.5.2 Fast Flat Fading MIMO Channels 76
2.5.3 Effect of Antenna Correlation on Ergodic MIMO
Capacity 81
2.5.4 Slow Flat Fading MIMO Channels 87
2.6 Channel Capacity with Perfect CSIT Only 89
2.6.1 Discrete Block Fading Channels 91
2.6.2 Discrete Channel with Three States 93
2.6.3 Fast Flat Fading MIMO Channels 94
2.6.4 Slow Flat Fading MIMO Channels 94
2.7 Channel Capacity with Perfect CSIR and Perfect CSIT 95
2.7.1 Fast Flat Fading MIMO Channels 96
2.7.2 Slow Flat Fading MIMO Channels 100
2.8 Summary 101
Exercises 103
Chapter 3 MIMO Link with Imperfect Channel
State Information 107
3.1 Overview 107
3.2 Effect of Imperfect CSI Estimation 108
3.2.1 CSI Estimation for MIMO Channels 108
3.2.2 Capacity Bounds of MIMO Link 109
3.3 Effect of Limited Feedback—Optimizing for SNR 111
3.3.1 Introduction to Optimizing Effective SNR 112
3.3.2 Grassmannian Line Packing 112