Volker Kuhn

Wireless Communications over MIMO Channels (eBook, PDF)

Applications to CDMA and Multiple Antenna Systems

• Format: PDF

Produktbeschreibung

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 388
• Erscheinungstermin: 11. Juli 2006
• Englisch
• ISBN-13: 9780470034613
• Artikelnr.: 37290142

Autorenporträt

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.

Inhaltsangabe

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.