Abstract
In this paper, we consider the optimization of the compound capacity in a rank one Ricean multiple input multiple output channel using partial channel state information at the transmitter side. We model the channel as a deterministic matrix within a known ellipsoid, and address the compound capacity defined as the maximum worst case mutual information in the set. We find that the optimal transmit strategy is always beamforming, and can be found using a simple one dimensional search. Similar results are derived for the worst case sum-rate of a multiple access channel with individual power constraints and a total power constraint. In this multiuser setting we assume equal array response at the receiver for all users. These results motivate the growing use of systems using simple beamforming transmit strategies.
Original language | English |
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Pages (from-to) | 1094-1101 |
Number of pages | 8 |
Journal | IEEE Transactions on Wireless Communications |
Volume | 6 |
Issue number | 3 |
DOIs | |
State | Published - Mar 2007 |
Externally published | Yes |
Bibliographical note
Funding Information:The authors are with the Technion, Israel Institute of Technology (email: [email protected], {yonina, sshlomo}@ee.technion.ac.il). The authors were supported by the EU 6th Framework Programme, via the NEWCOM Network of Excellence. This research was also supported by the Israel Science Foundation, founded by the Israel Academy of Sciences and Humanities. Conference versions of this paper were presented at the ITG-IEEE Workshop on Smart Antennas (WSA-2005) and the IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC-2005). Digital Object Identifier 10.1109/TWC.2007.05381.
Keywords
- Beamforming
- Compound capacity
- MIMO