MIMO Wireless Networks

MIMO Wireless Networks

Channels, Techniques and Standards for Multi-Antenna, Multi-User and Multi-Cell Systems

2nd Edition - January 23, 2013

Write a review

  • Authors: Bruno Clerckx, Claude Oestges
  • eBook ISBN: 9780123850560
  • Hardcover ISBN: 9780123850553

Purchase options

Purchase options
DRM-free (PDF, EPub, Mobi)
Sales tax will be calculated at check-out

Institutional Subscription

Free Global Shipping
No minimum order


This book is unique in presenting channels, techniques and standards for the next generation of MIMO wireless networks. Through a unified framework, it emphasizes how propagation mechanisms impact the system performance under realistic power constraints. Combining a solid mathematical analysis with a physical and intuitive approach to space-time signal processing, the book progressively derives innovative designs for space-time coding and precoding as well as multi-user and multi-cell techniques, taking into consideration that MIMO channels are often far from ideal.Reflecting developments since the first edition was published, this book has been thoroughly revised, and now includes new sections and five new chapters, respectively dealing with receiver design, multi-user MIMO, multi-cell MIMO, MIMO implementation in standards, and MIMO system-level evaluation.

Key Features

  • Extended introduction to multi-dimensional propagation, including polarization aspects
  • Detailed and comparative description of physical models and analytical representations of single- and multi-link MIMO channels, covering the latest standardized models
  • Thorough overview of space-time coding techniques, covering both classical and more recent schemes under information theory and error probability perspectives
  • Intuitive illustration of how real-world propagation affects the capacity and the error performance of MIMO transmission schemes
  • Detailed information theoretic analysis of multiple access, broadcast and interference channels
  • In-depth presentation of multi-user diversity, resource allocation and (non-)linear MU-MIMO precoding techniques with perfect and imperfect channel knowledge
  • Extensive coverage of cooperative multi-cell MIMO-OFDMA networks, including network resource allocation optimization, coordinated scheduling, beamforming and power control, interference alignment, joint processing, massive and network MIMO
  • Applications of MIMO and Coordinated Multi-Point (CoMP) in LTE, LTE-A and WiMAX
  • Theoretical derivations and results contrasted with practical system level evaluations highlighting the performance of single- and multi-cell MIMO techniques in realistic deployments


Wireless communications R&D engineers and graduate students

Table of Contents

  • Dedication

    List of Figures

    List of Tables


    List of Abbreviations

    List of Symbols

    About The Author

    Chapter 1. Introduction to Multi-Antenna Communications

    1.1 Brief history of array processing

    1.2 Space-time wireless channels for multi-antenna systems

    1.3 Exploiting multiple antennas in wireless systems

    1.4 Single-input multiple-output systems

    1.5 Multiple-input single-output systems

    1.6 Multiple-input multiple-output systems

    1.7 Multi-link MIMO networks: from multi-user to multi-cell MIMO

    1.8 MIMO techniques in commercial wireless systems


    Chapter 2. From Multi-Dimensional Propagation to Multi-Link MIMO Channels

    2.1 Double-Directional Channel Modeling

    2.2 The Mimo Channel Matrix

    2.3 Statistical Properties Of The Mimo Channel Matrix

    2.4 Multi-Link Mimo Propagation

    2.5 Impact Of Antenna Arrays On Mimo Channels

    2.6 Towards Mimo Channel Modeling


    Chapter 3. Analytical MIMO Channel Representations for System Design

    3.1 Propagation-Motivated MIMO Metrics

    3.2 Analytical Single-Link Representations of Narrowband Correlated MIMO Channels

    3.3 Dual-Polarized Channels

    3.4 Separable Representations of Gaussian MIMO Channels

    3.5 Frequency Selective MIMO Channels

    3.6 Analytical Multi-Link Representations of MIMO Channels


    Chapter 4. Physical MIMO Channel Models For Performance Simulation

    4.1 Electromagnetic Models

    4.2 Geometry-Based Stochastic Models

    4.3 Empirical Channel Models

    4.4 Standardized Mimo Channel Models


    Chapter 5. Capacity of Single-Link MIMO Channels

    5.1 Introduction

    5.2 Capacity of Deterministic MIMO Channels

    5.3 Ergodic Capacity of Fast Fading Channels

    5.4 I.I.D. Rayleigh Fast Fading Channels

    5.5 Correlated Rayleigh Fast Fading Channels

    5.6 Ricean Fast Fading Channels

    5.7 Outage Capacity and Probability and Diversity-Multiplexing Trade-Off in Slow Fading Channels

    5.8 I.I.D. Rayleigh Slow Fading Channels

    5.9 Correlated Rayleigh and Ricean Slow Fading Channels


    Chapter 6. Space-Time Coding Over I.I.D. Rayleigh Flat Fading Channels

    6.1 Overview of a Space-Time Encoder

    6.2 System Model

    6.3 Error Probability Motivated Design Methodology

    6.4 Information Theory Motivated Design Methodology

    6.5 Space-Time Block Coding

    6.6 Space-Time Trellis Coding


    Chapter 7. MIMO Receiver Design: Detection and Channel Estimation

    7.1 Reminder: System Model

    7.2 Mimo Receivers For Uncoded Transmissions

    7.1 Mimo Receivers For Coded Transmissions

    7.2 Mimo Channel Estimation


    Chapter 8. Error Probability in Real-World MIMO Channels

    8.1 A Conditional Pairwise Error Probability Approach

    8.2 Introduction to an Average Pairwise Error Probability Approach

    8.3 Average Pairwise Error Probability in Rayleigh Fading Channels

    8.4 Average Pairwise Error Probability in Ricean Fading Channels

    8.5 Perspectives on the Space-Time Code Design in Realistic Channels


    Chapter 9. Space-Time Coding over Real-World MIMO Channels with No Transmit Channel Knowledge

    9.1 Information Theory Motivated Design Methodology

    9.2 Information Theory Motivated Code Design in Slow Fading Channels

    9.3 Error Probability Motivated Design Methodology

    9.4 Error Probability Motivated Code Design in Slow Fading Channels



    Chapter 10. Space-Time Coding with Partial Transmit Channel Knowledge

    Exploiting Channel Statistics at the Transmitter

    Exploiting a Limited Amount of Feedback at the Transmitter

    A General Framework

    10.1 Introduction to Channel Statistics Based Precoding Techniques

    10.2 Channel Statistics Based Precoding for Orthogonal Space-Time Block Coding

    10.3 Channel Statistics Based Precoding for Codes With Non-Identity Error Matrices

    10.4 Channel Statistics Based Precoding for Spatial Multiplexing

    10.5 Introduction to Quantized Precoding and Antenna Selection Techniques

    10.6 Quantized Precoding and Antenna Selection for Dominant Eigenmode Transmissions

    10.7 Quantized Precoding and Antenna Selection for Orthogonal Space-Time Block Coding

    10.8 Quantized Precoding and Antenna Selection for Spatial Multiplexing

    10.9 Information Theory Motivated Quantized Precoding


    Chapter 11. Space-Time Coding for Frequency Selective Channels

    11.1 Single-Carrier Vs. Multi-Carrier Transmissions

    11.2 Information Theoretic Aspects For Frequency Selective Mimo Channels

    11.3 Average Pairwise Error Probability

    11.4 Code Design Criteria For Single-Carrier Transmissions In Rayleigh Fading Channels

    11.5 Code Design Criteria For Space-Frequency Coded Mimo-Ofdm Transmissions In Rayleigh Fading Channels

    11.6 On The Robustness Of Codes In Spatially Correlated Frequency Selective Channels


    Chapter 12. Multi-User MIMO

    12.1 System Model

    12.2 Capacity of Multiple-Access Channels (MAC)

    12.3 Capacity of Broadcast Channels (BC)

    12.4 BC-MAC Duality

    12.5 Multi-User Diversity, Resource Allocation and Scheduling

    12.6 Sum-Rate Scaling Laws

    12.7 Uplink Multi-User Mimo

    12.8 Downlink Multi-user Mimo Precoding with Perfect Transmit Channel Knowlede

    12.9 Downlink Multi-user Mimo Precoding with Partial Transmit Channel Knowledge


    Chapter 13. Multi-Cell MIMO

    13.1 Interference in Wireless Networks

    13.2 System Model

    13.3 Network Architecture

    13.4 Capacity of Multi-Cell Mimo Channels

    13.5 Multi-Cell Diversity and Resource Allocation

    13.6 Coordinated Power Control

    13.7 Coordinated Beamforming

    13.8 Coordinated Scheduling, Beamforming and Power Control

    13.9 Coding for Multi-Cell Coordination

    13.10 Network MIMO


    Chapter 14. MIMO in LTE, LTE-Advanced and WiMAX

    14.1 Design Targets and Key Technologies

    14.2 Antenna and Network Deployments

    14.3 Reference Signals

    14.4 Single-User MIMO

    14.5 Multi-User Mimo

    14.6 Multi-Cell MIMO

    14.7 Channel State Information (CSI) Feedback

    14.8 Beyond lte-a: Massive Multi-Cell and Massive Multi-Antenna Networks


    Chapter 15. MIMO-OFDMA System Level Evaluation

    15.1 Single-User Mimo

    15.2 Multi-User Mimo

    15.3 User Dropping and Cell Clustering in Homogeneous Networks

    15.4 Coordinated Scheduling and Beamforming in Homogeneous Networks

    15.5 Coordinated Scheduling and Power Control in Heterogeneous Networks

    15.6 Concluding Remarks


    Appendix A. Useful Mathematical and Matrix Properties


    Appendix B. Complex Gaussian Random Variables and Matrices

    B.1 Some Useful Probability Distributions

    B.2 Eigenvalues of Wishart Matrices


    Appendix C. Antenna Coupling Model

    C.1 Minimum Scatterers W.R.T. Impedance Parameters

    C.2 Minimum Scatterers W.R.T. Admittance Parameters


    Appendix D. Derivation of the Average Pairwise Error Probability

    D.1 Joint Space-Time Correlated Ricean Fading Channels

    D.2 Space Correlated Ricean Slow Fading Channels

    D.3 Joint Space-Time Correlated Ricean Block Fading Channels

    D.4 I.I.D. Rayleigh Slow and Fast Fading Channels




Product details

  • No. of pages: 776
  • Language: English
  • Copyright: © Academic Press 2013
  • Published: January 23, 2013
  • Imprint: Academic Press
  • eBook ISBN: 9780123850560
  • Hardcover ISBN: 9780123850553

About the Authors

Bruno Clerckx

Bruno Clerckx is Assistant Professor (Lecturer) at Imperial College London. He held research or visiting positions at Université catholique de Louvain, Stanford University, EURECOM and Samsung Electronics. His research interests cover wireless communications. He is the author of books, numerous scientific papers, standard contributions (3GPPLTE/LTE-A and IEEE802.16m) and patents.

Affiliations and Expertise

Imperial College, London, UK

Claude Oestges

Claude Oestges is Associate Professor with the Institute for Information and Communication Technologies, Electronics and Applied Mathematics (Université catholique de Louvain). His research interests cover wireless and satellite communications, with a specific focus on channel characterization and modeling. He is the author or co-author of two books and more than 170 scientific papers in international journals and conference proceedings.

Affiliations and Expertise

Associate Professor, Institute for Information and Communication Technologies, Electronics and Applied Mathematics, Universite catholique de Louvain, Belgium

Ratings and Reviews

Write a review

There are currently no reviews for "MIMO Wireless Networks"