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

This innovative book sets forth two promising wireless approaches
that support high-quality, high-speed data and multimedia
service-multiple antenna technologies and cross layer transmitter
adaptation designs-while highlighting the relationships and
interactions between them. The latest advanced technologies of
channel adaptation techniques for wireless communication systems
with multiple antennas are thoroughly investigated.

The book is divided into three parts, first giving readers a good
foundation in underlying theory, then exploring applications as
well as advanced topics:

• Part 1 examines theoretical aspects of channel adaptation in
  wireless communications for point-to-point and multi-user systems
  with multiple antennas

• Part 2 focuses on the applications of the channel-adaptive
  technologies in practical systems such as UMTS

• Part 3 delves into topics such as multi-user scheduling for
  wideband systems, combined queuing theory and information theory,
  and ad hoc routing

Using a hands-on, practical approach, Channel Adaptive Technologies
and Cross Layer Designs for Wireless Systems with Multiple Antennas
thoroughly covers detailed design considerations that help readers
understand how to apply theory to real-world systems. Emphasis
throughout the book is on joint optimization across different
layers of a communications system based on an integrated approach.
Examples of popular wireless systems, such as TDMA, wideband CDMA
(UMTS), and HSDPA, are used throughout as practical illustrations.
Each chapter ends with a summary that reviews key points and a set
of problems that lets readers test their knowledge and continue to
develop their skills as they progress to new topics. Figures and
tables are also used extensively to help readers visualize complex
theory and systems.

Combining theory, design, and application into one integrated
approach, this is a superior reference for advanced communications
theory courses.

Auteur

Vincent K.N. Lau, PhD, is Associate Professor in the
Department of Electrical Engineering at the Hong Kong University of
Science and Technology. He is also a technology
consultant and senior manager of ASTRI, leading the Advanced
Technology Team of the Wireless Access Group in wireless LAN
systems. Additionally, Dr. Lau was the chief technical
officer and co-founder of DAX Group Ltd. He is a Senior IEEE
Member, has published more than 42 papers in IEEE Transactions and
journals, and has received two best paper awards (IEE and HKIE).
Dr. Lau's current research focus is on the cross layer optimization
between the wireless MAC (scheduling) layer and adaptive physical
layer.

Yu-Kwong Ricky Kwok, PhD, is Associate Professor in the
Department of Electrical and Electronic Engineering at the
University of Hong Kong. He holds additional positions including
Program Director of the Master of Science and Director of the High
Performance Computing Research Laboratory. A Senior Member of
the IEEE, he has published more than 130 technical papers in
various leading journals, research books, and refereed
international conference proceedings on topics including parallel
and distributed computing research, mobile computing, wireless
networking, grid computing infrastructure technologies, and
analysis of distributed algorithms.

Résumé
This innovative book sets forth two promising wireless approaches that support high-quality, high-speed data and multimedia service-multiple antenna technologies and cross layer transmitter adaptation designs-while highlighting the relationships and interactions between them. The latest advanced technologies of channel adaptation techniques for wireless communication systems with multiple antennas are thoroughly investigated.

The book is divided into three parts, first giving readers a good foundation in underlying theory, then exploring applications as well as advanced topics:

• Part 1 examines theoretical aspects of channel adaptation in wireless communications for point-to-point and multi-user systems with multiple antennas
• Part 2 focuses on the applications of the channel-adaptive technologies in practical systems such as UMTS

• Part 3 delves into topics such as multi-user scheduling for wideband systems, combined queuing theory and information theory, and ad hoc routing

  Using a hands-on, practical approach, Channel Adaptive Technologies and Cross Layer Designs for Wireless Systems with Multiple Antennas thoroughly covers detailed design considerations that help readers understand how to apply theory to real-world systems. Emphasis throughout the book is on joint optimization across different layers of a communications system based on an integrated approach. Examples of popular wireless systems, such as TDMA, wideband CDMA (UMTS), and HSDPA, are used throughout as practical illustrations. Each chapter ends with a summary that reviews key points and a set of problems that lets readers test their knowledge and continue to develop their skills as they progress to new topics. Figures and tables are also used extensively to help readers visualize complex theory and systems.

  Combining theory, design, and application into one integrated approach, this is a superior reference for advanced communications theory courses.

Contenu
List of Figures. List of Tables.

Preface.

Acknowledgments.

PART 1: THEORY.

Chapter 1. Basic Concepts in Wireless Communications.

1.1 Overview.

1.2 Wireless Channel Models.

1.2.1 AWGN Channel Model.

1.2.2 Linear Time-Varying Deterministic Spatial Channel.

1.2.3 The Random Channels.

1.2.4 Frequency-Flat Fading Channels.

1.2.5 Frequency-Selective Fading Channels.

1.3 Equivalence of Continuous-Time and Discrete-Time Models.

1.3.1 Concepts of Signal Space.

1.3.2 Sufficient Statistics.

1.3.3 Discrete-Time Signal ModelFlat Fading.

1.3.4 Discrete-Time Channel ModelFrequency-Selective Fading.

1.4 Fundamentals of Information Theory.

1.4.1 Entropy and Mutual Information.

1.4.2 Shannon's Channel Coding Theorem.

1.4.3 Examples of Channel Capacity.

1.5 Summary.

Exercises.

Chapter 2. MIMO Link with Perfect Channel State Information.

2.1 Overview.

2.2 Mathematical Model of the MIMO Link.

2.2.1 Probabilistic Channels with States.

2.2.2 General Transmission and CSI Feedback Model.

2.2.3 Adaptive-Channel Encoding and Decoding.

2.2.4 Transmit Power Constraint.

2.2.5 Causal Feedback Constraint.

2.3 Ergodic and Outage Channel Capacity.

2.3.1 Ergodic Capacity.

2.3.2 Outage Capacity.

2.4 Channel Capacity with No CSIT and No CSIR.

2.4.1 Fast Flat Fading MIMO Channels.

2.4.2 Block Fading Channels.

2.5 Channel Capacity with Perfect CSIR.

2.5.1 Block Fading Channels.

2.5.2 Fast Flat Fading MIMO Channels.

2.5.3 Effect of Antenna Correlation on Ergodic MIMO Capacity.

2.5.4 Slow Flat Fading MIMO Channels.

2.6 Channel Capacity with Perfect CSIT Only.

2.6.1 Discrete Block Fading Channels.

2.6.2 Discrete Channel with Three States.

2.6.3 Fast Flat Fading MIMO Channels.

2.6.4 Slow Flat Fading MIMO Channels.

2.7 Channel Capacity with Perfect CSIR and Perfect CSIT.

2.7.1 Fast Flat Fading MIMO Channels.

2.7.2 Slow Flat Fading MIMO Channels.

2.8 Summary.

Exercises.

Chapter 3. MIMO Link with Imperfect Channel State Information.

3.1 Overview.

3.2 Effect of Imperfect CSI Estimation.

3.2.1 CSI Estimation for MIMO Channels.

3.2.2 Capacity Bounds of MIMO Link.

3.3 Effect of Limited FeedbackOptimizing for SNR.

3.3.1 Introduction to Optimizing Effective SNR.

3.3.2 Grassmannian Line Packing.

3.3.3 Grassmannian Precoding for MIMO SystemsSpatial Diversity.

3.3.4 Grassmannian Precoding for MIMO SystemsS…