Wireless Communications over MIMO Channels: Applications to CDMA and Multiple Antenna Systems

內容描述

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Description

Wireless Communications over MIMO Channels: Applications to CDMA and
Multiple Antenna Systems covers both, state-of-the-art channel coding
concepts and CDMA and multiple antenna systems, rarely found in other books on
the subject.
Furthermore, an information theoretical analysis of CDMA and SDMA systems
illuminate ultimate limits and demonstrates the high potential of these
concepts. Besides spatial multiplexing, the use of multiple transmit antennas
in order to increase the link reliability by diversity concepts (space-time
coding) is described. Another focus is the application of error control coding
in mobile radio communications
Accompanying appendices include: basic derivations, tables of frequently
used channel models, chain rules for entropy and information, data processing
theorem, basics of linear algebra, Householder reflection and Givens rotation,
and the LLL algorithm for lattice reduction.  

Table of
Contents

Preface.
Acknowledgements.
List of Abbreviations.
List of Symbols.

1. Introduction to Digital Communications.

1.1 Basic System Model.
1.2 Characteristics of Mobile Radio Channels.
1.3 Signal Detection.
1.3.1 Optimal Decision Criteria.
1.4 Digital Linear Modulation.
1.5 Diversity.
1.6 Summary.

1. Information Theory.
   2.1 Basic Definitions.
   2.2 Channel Coding Theorem for SISO Channels.
   2.3 Channel Capacity of MIMO Systems.
   2.4 Channel Capacity for Multi-User Communications.

2.5 Summary.

1. Forward Error Correction Coding.
   3.1 Introduction.
   3.2 Linear Block Codes.
   3.3 Convolutional Codes.
   3.4 Soft-Output Decoding of Binary Codes.
   3.5 Performance Evaluation of Linear Codes.
   3.6 Concatenated Codes.
   3.7 Low Density Parity Check (LDPC) Codes.
   3.8 Summary.
2. Code Division Multiple Access.
   4.1 Fundamentals.
   4.2 OFDM-CDMA.
   4.3 Low Rate Channel Coding in CDMA Systems.
   4.4 Uplink Capacity of CDMA Systems.
   4.5 Summary.
3. Multi-User Detection in CDMA Systems.
   5.1 Optimum Detection.
   5.2 Linear Multi-User Detection.
   5.3 Nonlinear Iterative Multi-User Detection.
   5.4 Combining Linear MUD and Nonlinear SIC.
   5.5 Summary.
4. Multiple Antenna Systems.
   6.1 Introduction .
   6.2 Spatial Diversity Concepts.
   6.3 Multi-Layer Transmission.
   6.4 Linear Dispersion Codes.
   6.5 Information Theoretic Analysis.
   6.6 Summary.
   Appendix A: Channel Models.
   A.1 Equivalent Baseband Representation.
   A.2 Typical Propagation Profiles for Outdoor Mobile
   Radio Channels.
   A.3 Moment Generating Function for Ricean Fading.

Appendix B: Derivations for Information Theory.

B.1 Chain Rule for Entropies.
B.2 Chain Rule for Information.
B.3 Data Processing Theorem.
Appendix C: Linear Algebra.
C.1 Selected Basics.
C.2 Householder Reflections and Givens Rotation.
C.3 LLL Lattice-Reduction.
Bibliography.
Index.

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