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DIMACS - Series in Discrete Mathematics and Theoretical Computer Science

Multiantenna Channels: Capacity, Coding and Signal Processing

Edited by:Gerard J. Foschini: Lucent Technologies Bell Laboratories, Holmdel, NJSergio Verdú: Princeton University, Princeton, NJ

Digital content for Multiantenna Channels: Capacity, Coding and Signal Processing

This volume is a collection of papers from the DIMACS Workshop on Signal Processing for Wireless Transmission. The workshop brought together theoreticians and practitioners working on wireless communications, information, and coding theory from a variety of perspectives. The main topics discussed in the book are capacity of multiantenna channels, vector broadcast channels and “dirty-paper” coding, signal processing, and ad hoc networking in wideband channels. These are all major themes in current research in physical-layer design for wireless communication.

The book is suitable for graduate students and researchers interested in mathematical problems of communication theory.

Co-published with the Center for Discrete Mathematics and Theoretical Computer Science beginning with Volume 8. Volumes 1–7 were co-published with the Association for Computer Machinery (ACM).
Readership

Graduate students and researchers interested in mathematical problems of communication theory.
Table Of Contents
  • Front/Back Matter
  • View this volume's front and back matter
  • Part I. Capacity of multiantenna channels
    pp. 1 - 1
  • Broadband MIMO channel model for realistic capacity and system performance evaluations
    pp. 3 - 14
  • Bandwidth-power tradeoff of multi-antenna systems in the low-power regime
    pp. 15 - 41
  • Distribution of MIMO capacity in the presence of correlated signals and interferers: A (not so) large N analysis
    pp. 43 - 55
  • Optimality of beamforming in multiple transmitter multiple receiver communication systems with partial channel knowledge
    pp. 57 - 67
  • Part II. Capacity of broadcast channels and dirty-paper coding
    pp. 69 - 69
  • Duality, dirty paper coding, and capacity for multiuser wireless channels
    pp. 71 - 86
  • On the capacity of the multiple antenna broadcast channel
    pp. 87 - 105
  • Capacity bounds for Gaussian vector broadcast channels
    pp. 107 - 122
  • Writing on dirty tape with LDPC codes
    pp. 123 - 139
  • Dirty paper coding: Perturbing off the infinite dimensional lattice limit
    pp. 141 - 157
  • Part III. Signal processing for multiantenna channels
    pp. 159 - 159
  • Maximum-likelihood decoding and integer least-squares: The expected complexity
    pp. 161 - 191
  • Slowing the time-fluctuating MIMO channel
    pp. 193 - 211
  • A spacetime architectural superstructure enabling efficient multiple antenna communication
    pp. 213 - 232
  • Space-time coding with iterative receiver interfaces
    pp. 233 - 246
  • Diversity order of space-time block codes in inter-symbol interference multiple-access channels
    pp. 247 - 254
  • Pilot assisted estimation of MIMO fading channel response and achievable data rates
    pp. 255 - 268
  • Part IV. Networking capacity
    pp. 269 - 269
  • Challenges in UWB signaling for adhoc networking
    pp. 271 - 284
  • Efficient multihop broadcast for wideband systems
    pp. 285 - 299
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