Abstract
This paper applies random matrix theory to obtain analytical characterizations of the capacity of correlated multi-antenna channels. The analysis is not restricted to the popular separable correlation model, but rather it embraces a more general representation that subsumes most of the channel models that have been treated in the literature. For arbitrary signal-to-noise ratios (SNR), the characterization is conducted in the regime of large numbers of antennas. For the low- and high-SNR regions, in turn, we uncover compact capacity expansions that are valid for arbitrary numbers of antennas and that shed insight on how antenna correlation impacts the tradeoffs among power, bandwidth, and rate.
Original language | English (US) |
---|---|
Pages (from-to) | 2491-2509 |
Number of pages | 19 |
Journal | IEEE Transactions on Information Theory |
Volume | 51 |
Issue number | 7 |
DOIs | |
State | Published - Jul 2005 |
All Science Journal Classification (ASJC) codes
- Information Systems
- Computer Science Applications
- Library and Information Sciences
Keywords
- Antenna correlation
- Channel capacity
- Fading channels
- Multiantenna arrays
- Random matrices