MIMO Wireless Communications, 1st Edition,Claude Oestges,Bruno Clerckx,ISBN9780123725356

480 Pages / 244 X 172



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MIMO Wireless Communications, 1st Edition

From Real-World Propagation to Space-Time Code Design

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Author(s) : Oestges   &    Clerckx   

Published: 21 May 2007

Imprint: Academic Press

ISBN: 9780123725356

The first book to bring together channel modelling and signal processing, enabling the development of highly effective MIMO Communications channels" a key technology for attaining the next generation of 3G and the evolution to 4G.

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Key Features

* Presents space-time coding techniques for real-world MIMO channels
* Contains new design methodologies and criteria that guarantee the robustness of space-time coding in real life wireless communications applications
* Evaluates the performance of space-time coding in real world conditions

Description

Uniquely, this book proposes robust space-time code designs for real-world wireless channels. Through a unified framework, it emphasizes how propagation mechanisms such as space-time frequency correlations and coherent components impact the MIMO system performance under realistic power constraints. Combining a solid mathematical analysis with a physical and intuitive approach to space-time coding, the book progressively derives innovative designs, taking into consideration that MIMO channels are often far from ideal.

The various chapters of this book provide an essential, complete and refreshing insight into the performance behaviour of space-time codes in realistic scenarios and constitute an ideal source of the latest developments in MIMO propagation and space-time coding for researchers, R&D engineers and graduate students.

Features include
• Physical models and analytical representations of MIMO propagation channels, highlighting the strengths and weaknesses of various models
• Overview of space-time coding techniques, covering both classical and more recent schemes under information theory and error probability perspectives
• In-depth presentation of how real-world propagation affects the capacity and the error performance of MIMO transmission schemes
• Innovative and practical designs of robust space-time coding, precoding and antenna selection techniques for realistic propagation (including single-carrier and MIMO-OFDM transmissions)

"This book offers important insights into how space-time coding can be tailored for real-world MIMO channels. The discussion of MIMO propagation models is also intuitive and well-developed."
Arogyaswami J. Paulraj, Professor, Stanford University, CA

"Finally a book devoted to MIMO from a new perspective that bridges the boundaries between propagation, channel modeling, signal processing and space-time coding. It is of high reference value, combining intuitive and conceptual explanations with detailed, stringent derivations of basic facts of MIMO."
Ernst Bonek, Emeritus Professor, Technische Universität Wien, Austria

Readership

R&D communications engineers working in mobile and wireless communications, academic researchers, post graduate students.

Claude Oestges

Claude Oestges received a PhD degree in Applied Science from the Université catholique de Louvain (UCL, Belgium), in 2000. In 2001, he joined the Smart Antennas Research Group at Stanford University (California, USA) as a post-doctoral scholar. Since 2005 he has been a Research Associate of the Belgian National Science Foundation and a part-time Associate Professor at UCL. His research interests cover wireless and satellite communications, with a specific focus on the propagation channel and its impact on system performance. Claude Oestges is the author or co-author of more than 60 papers in IEEE/IEE journals and conference proceedings. He was a member of the IEEE 802.11 Standardization Working Group on “Multiple antenna channel modeling”. He received the IEE Marconi Premium Award in 2001 and the IEEE Vehicular Technology Society 2004 Neal Shepherd Award.

Affiliations and Expertise

Université catholique de Louvain, Belgium

View additional works by Claude Oestges

Bruno Clerckx

Bruno Clerckx received a PhD degree in Applied Science from the Université catholique de Louvain (UCL, Belgium) in 2005. From September 2000 to August 2006, he was with the Microwave Laboratory UCL, as a Research Assistant and a PhD student funded by the Belgian National Science Foundation for Industrial Research, and as a Post-Doctoral Scholar. He held several visiting research positions, at the Smart Antennas Research Group, Stanford University (CA, USA), and at the Mobile Communication Department of Eurecom Institute. Bruno Clerckx is currently with the Communication & Network Laboratory of Samsung Advanced Institute of Technology (SAIT) in Korea. He is the author or co-author of more than 25 research papers and communications. He received the IEEE Symposium on Communications and Vehicular Technology Best Student Paper Award in 2002.

Affiliations and Expertise

Université catholique de Louvain, Belgium

MIMO Wireless Communications, 1st Edition

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 Multiple antenna techniques in commercial wireless systems

2. Physical MIMO channel modelling
2.1 Multidimensional channel modelling
2.2 Electromagnetic models
2.3 Geometry based models
2.4 Empirical models
2.5 Standardized models
2.6 Antennas in MIMO systems

3. Analytical MIMO channel representations for system design
3.1 General representations of correlated MIMO channels
3.2 Simplified representations of Gaussian MIMO channels
3.3 Propagation-motivated MIMO metrics
3.4 Relationship between physical models and analytical representations

4. Mutual information and capacity of real-world random MIMO channels
4.1 Capacity of fading channels with perfect transmit channel knowledge
4.2 Ergodic capacity of I.I.D. Rayleigh fast fading channels with partial transmit channel knowledge
4.3 Mutual information and capacity of correlated Rayleigh channels with partial transmit channel knowledge
4.4 Mutual information and capacity of Ricean channels with partial transmit channel knowledge
4.5 Mutual information in some particular channels
4.6 Outage capacity and diversity-multiplexing trade off in I.I.D. Rayleigh slow fading channels
4.7 Outage capacity and diversity-multiplexing trade-off in semi-correlated Raylaigh and Ricean slow fading channels

5. Space-time coding over I.I.D. Rayleigh flat fading channels
5.1 Overview of a space-time encoder
5.2 System model
5.3 Error probability motivated design methodology
5.4 Information theory motivated design methodology
5.5 Space-time block coding
5.6 Space-time trellis coding

6. Error probability in real-world MIMO channels
6.1 A conditional pairwise error probability approach
6.2 Introduction to an average pairwise error probability approach
6.3 Average pairwise error probability in Rayleigh fading channels
6.4 Average pairwise error probability in Ricean fading channels
6.5 Average pairwise error probability in dual-polarized channels
6.6 Perspectives on the space-time code design in realistic channels

7. Space-time coding over real-world MIMO channels with no transmit channel knowledge
7.1 Information theory motivated design methodology
7.2 Information theory motivated code design in slow fading channels
7.3 Error probability motivated design methodology
7.4 Error probability motivated code design in slow fading channels
7.5 Error probability motivated code design in fast fading channels

8. Space-time coding with partial transmit channel knowledge
8.1 Introduction to channel statistics based precoding techniques
8.2 Channel statistics based precoding for orthogonal space-time block coding
8.3 Channel statistics based precoding for codes with non identity error matrices
8.4 Channel statistics based precoding for spatial multiplexing
8.5 Introduction to quantized precoding and antenna selection techniques
8.6 Quantized precoding and antenna selection
8.7 Quantized precoding and antenna selection for orthogonal space-time block coding
8.8 Quantized precoding and antenna selection for spatial multiplexing
8.9 Information theory motivated quantized precoding

9. Space-time coding for frequency selective channels
9.1 Single-carrier vs multi-carrier transmissions
9.2 Information theoretic aspects for frequency selective MIMO channels
9.3 Average pairwise error probability
9.4 Code design criteria for single carrier transmissions in Rayleigh fading channels
9.5 Code design criteria for space-frequency coded MIMO-OFDM transmissions in Rayleigh fading channels
9.6 On the robustness of codes in spatially correlated frequency selective channels

Appendix A: Useful mathematical and matrix properties
Appendix B: Complex Gaussian random variables and matrices
Appendix C: SUI channel model
Appendix D: Antenna coupling model
Appendix E: Derivation of the average pairwise error probability
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