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.
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.
€114.99
表中的内容
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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
关于作者
Volker Kühn is Assistant Professor, at the Department of Communications Engineering, University of Bremen, Germany. He completed his Ph.D. at the University of Paderborn, Germany (1994-1998). He has also undertaken consultation work for Siemens AG and Infineon Technologies, and is a member of the IEEE.
语言 英语 ● 格式 PDF ● 网页 388 ● ISBN 9780470034613 ● 文件大小 3.6 MB ● 出版者 John Wiley & Sons ● 发布时间 2006 ● 版 1 ● 下载 24 个月 ● 货币 EUR ● ID 2312669 ● 复制保护 Adobe DRM
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