AMS Bookstore LOGO amslogo
Return to List

AMS TextbooksAMS Applications-related Books

Multiantenna Channels: Capacity, Coding and Signal Processing
Edited by: Gerard J. Foschini, Lucent Technologies Bell Laboratories, Holmdel, NJ, and Sergio Verdú, Princeton University, NJ
A co-publication of the AMS and DIMACS.

DIMACS: Series in Discrete Mathematics and Theoretical Computer Science
2003; 299 pp; hardcover
Volume: 62
ISBN-10: 0-8218-3407-X
ISBN-13: 978-0-8218-3407-7
List Price: US$105
Member Price: US$84
Order Code: DIMACS/62
[Add Item]

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).


Graduate students and researchers interested in mathematical problems of communication theory.

Table of Contents

Capacity of multiantenna channels
  • H. Xu, D. Chizhik, H. Huang, and R. Valenzuela -- Broadband MIMO channel model for realistic capacity and system performance evaluations
  • A. M. Tulino, A. Lozano, and S. Verdú -- Bandwidth-power tradeoff of multi-antenna systems in the low-power regime
  • A. L. Moustakas, S. H. Simon, and A. M. Sengupta -- Distribution of MIMO capacity in the presence of correlated signals and interferers: A (not so) large N analysis
  • S. H. Simon and A. L. Moustakas -- Optimality of beamforming in multiple transmitter multiple receiver communication systems with partial channel knowledge
Capacity of broadcast channels and dirty-paper coding
  • N. Jindal, S. Vishwanath, S. Jafar, and A. Goldsmith -- Duality, dirty paper coding, and capacity for multiuser wireless channels
  • D. Tse and P. Viswanath -- On the capacity of the multiple antenna broadcast channel
  • S. Vishwanath, G. Kramer, S. Shamai (Shitz), S. Jafar, and A. Goldsmith -- Capacity bounds for Gaussian vector broadcast channels
  • G. Caire and S. Shamai (Shitz) -- Writing on dirty tape with LDPC codes
  • G. J. Foschini and A. H. Diaz -- Dirty paper coding: Perturbing off the infinite dimensional lattice limit
Signal processing for multiantenna channels
  • B. Hassibi and H. Vikalo -- Maximum-likelihood decoding and integer least-squares: The expected complexity
  • D. Chizhik -- Slowing the time-fluctuating MIMO channel
  • G. J. Foschini and M. Sellathurai -- A spacetime architectural superstructure enabling efficient multiple antenna communication
  • E. Biglieri, A. Nordio, and G. Taricco -- Space-time coding with iterative receiver interfaces
  • S. N. Diggavi, N. Al-Dhahir, and A. R. Calderbank -- Diversity order of space-time block codes in inter-symbol interference multiple-access channels
  • D. Samardzija and N. Mandayam -- Pilot assisted estimation of MIMO fading channel response and achievable data rates
Networking capacity
  • Y. Souilmi and R. Knopp -- Challenges in UWB signaling for adhoc networking
  • I. Maric and R. Yates -- Efficient multihop broadcast for wideband systems
Powered by MathJax

  AMS Home | Comments:
© Copyright 2014, American Mathematical Society
Privacy Statement

AMS Social

AMS and Social Media LinkedIn Facebook Podcasts Twitter YouTube RSS Feeds Blogs Wikipedia