MIMO Wireless Communications book cover

MIMO Wireless Communications

From Real-World Propagation to Space-Time Code Design

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

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

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Published: March 2007

Imprint: Academic Press

ISBN: 978-0-12-372535-6

Reviews

  • “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.” Professor Arogyaswami J. Paulraj, 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

Contents

  • 1. Introduction to multi-antenna communications1.1 Brief history of array processing1.2 Space-time wireless channels for multi-antenna systems1.3 Exploiting multiple antennas in wireless systems1.4 Single-Input Multiple-Output systems1.5 Multiple-Input Single-Output systems1.6 Multiple-Input Multiple-Output systems1.7 Multiple antenna techniques in commercial wireless systems2. Physical MIMO channel modelling2.1 Multidimensional channel modelling2.2 Electromagnetic models2.3 Geometry based models2.4 Empirical models2.5 Standardized models2.6 Antennas in MIMO systems3. Analytical MIMO channel representations for system design3.1 General representations of correlated MIMO channels3.2 Simplified representations of Gaussian MIMO channels3.3 Propagation-motivated MIMO metrics3.4 Relationship between physical models and analytical representations4. Mutual information and capacity of real-world random MIMO channels4.1 Capacity of fading channels with perfect transmit channel knowledge4.2 Ergodic capacity of I.I.D. Rayleigh fast fading channels with partial transmit channel knowledge4.3 Mutual information and capacity of correlated Rayleigh channels with partial transmit channel knowledge4.4 Mutual information and capacity of Ricean channels with partial transmit channel knowledge4.5 Mutual information in some particular channels4.6 Outage capacity and diversity-multiplexing trade off in I.I.D. Rayleigh slow fading channels4.7 Outage capacity and diversity-multiplexing trade-off in semi-correlated Raylaigh and Ricean slow fading channels5. Space-time coding over I.I.D. Rayleigh flat fading channels5.1 Overview of a space-time encoder5.2 System model5.3 Error probability motivated design methodology5.4 Information theory motivated design methodology5.5 Space-time block coding5.6 Space-time trellis coding6. Error probability in real-world MIMO channels6.1 A conditional pairwise error probability approach6.2 Introduction to an average pairwise error probability approach6.3 Average pairwise error probability in Rayleigh fading channels6.4 Average pairwise error probability in Ricean fading channels6.5 Average pairwise error probability in dual-polarized channels6.6 Perspectives on the space-time code design in realistic channels7. Space-time coding over real-world MIMO channels with no transmit channel knowledge7.1 Information theory motivated design methodology7.2 Information theory motivated code design in slow fading channels7.3 Error probability motivated design methodology7.4 Error probability motivated code design in slow fading channels7.5 Error probability motivated code design in fast fading channels8. Space-time coding with partial transmit channel knowledge8.1 Introduction to channel statistics based precoding techniques8.2 Channel statistics based precoding for orthogonal space-time block coding8.3 Channel statistics based precoding for codes with non identity error matrices8.4 Channel statistics based precoding for spatial multiplexing8.5 Introduction to quantized precoding and antenna selection techniques8.6 Quantized precoding and antenna selection8.7 Quantized precoding and antenna selection for orthogonal space-time block coding8.8 Quantized precoding and antenna selection for spatial multiplexing8.9 Information theory motivated quantized precoding9. Space-time coding for frequency selective channels9.1 Single-carrier vs multi-carrier transmissions9.2 Information theoretic aspects for frequency selective MIMO channels9.3 Average pairwise error probability9.4 Code design criteria for single carrier transmissions in Rayleigh fading channels9.5 Code design criteria for space-frequency coded MIMO-OFDM transmissions in Rayleigh fading channels9.6 On the robustness of codes in spatially correlated frequency selective channelsAppendix A: Useful mathematical and matrix propertiesAppendix B: Complex Gaussian random variables and matricesAppendix C: SUI channel modelAppendix D: Antenna coupling modelAppendix E: Derivation of the average pairwise error probability

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