Abstract
Transmitter designs based on partial channel state information (CSI) have become increasingly attractive in multi-antenna wireless communication systems. To capture partial CSI statistics at the transmitter, we rely on a channel amplitude information (CAI) model, based on which we aim for maximizing the random channel's average mutual information. Due to the high computational complexity required for such optimal transmissions, we resort to reduced complexity practical schemes and derive necessary and sufficient conditions for these alternatives to achieve maximal average mutual information.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 3007-3011 |
| Number of pages | 5 |
| Journal | IEEE Transactions on Wireless Communications |
| Volume | 5 |
| Issue number | 11 |
| DOIs | |
| State | Published - Nov 2006 |
Bibliographical note
Funding Information:Manuscript received November 20, 2004; revised August 9, 2005 and February 13, 2006; accepted February 20, 2006. The associate editor co-ordinating the review of this paper and approving it for publication was J. Tugnait. Prepared through collaborative participation in the Communications and Networks Consortium sponsored by the U. S. Army Research Laboratory under the Collaborative Technology Alliance Program, Cooperative Agreement DAAD19-01-2-0011. The U. S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation thereon. Part of this work appeared in the Proc. of the 38th Annual Conference on Information Sciences and Systems, Princeton University, NJ, March 17-19, 2004.
Keywords
- Antenna selection
- Channel amplitude information
- Multi-input single-output
- Nakagami fading