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Multiantenna Channels: Capacity, Coding and Signal Processing
About this Title
Gerard J. Foschini, Lucent Technologies Bell Laboratories, Holmdel, NJ and Sergio Verdú, Princeton University, Princeton, NJ, Editors
Publication: DIMACS Series in Discrete Mathematics and Theoretical Computer Science
Publication Year:
2003; Volume 62
ISBNs: 978-0-8218-3407-7 (print); 978-1-4704-4020-6 (online)
DOI: https://doi.org/10.1090/dimacs/062
MathSciNet review: MR2035114
MSC: Primary 94-06; Secondary 94A05, 94A24
ReadershipTable of Contents
Front/Back Matter
Part I. Capacity of multiantenna channels
- Broadband MIMO channel model for realistic capacity and system performance evaluations
- Bandwidth-power tradeoff of multi-antenna systems in the low-power regime
- Distribution of MIMO capacity in the presence of correlated signals and interferers: A (not so) large N analysis
- Optimality of beamforming in multiple transmitter multiple receiver communication systems with partial channel knowledge
Part II. Capacity of broadcast channels and dirty-paper coding
- Duality, dirty paper coding, and capacity for multiuser wireless channels
- On the capacity of the multiple antenna broadcast channel
- Capacity bounds for Gaussian vector broadcast channels
- Writing on dirty tape with LDPC codes
- Dirty paper coding: Perturbing off the infinite dimensional lattice limit
Part III. Signal processing for multiantenna channels
- Maximum-likelihood decoding and integer least-squares: The expected complexity
- Slowing the time-fluctuating MIMO channel
- A spacetime architectural superstructure enabling efficient multiple antenna communication
- Space-time coding with iterative receiver interfaces
- Diversity order of space-time block codes in inter-symbol interference multiple-access channels
- Pilot assisted estimation of MIMO fading channel response and achievable data rates
Part IV. Networking capacity