Channel-adaptive technologies and cross-layer designs for wireless systems with multiple antennas : theory and applications

545 Pages·2006·4.508 MB·English

by  Vincent K N Lau, Yu-Kwong Ricky Kwok

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