Abstract
Beamforming for multi-input multi-output (MIMO) cognitive networks is considered in the presence of channel uncertainty induced by errors in estimating cognitive-to-primary channels. A robust beamforming problem is formulated to optimize an appropriate cognitive radio network-wide performance metric, while enforcing protection of the primary system. In spite of the non-convexity of the resultant optimization problem, a block coordinate ascent algorithm is developed with provable convergence to a stationary point. Enticingly, the novel scheme also lends itself naturally to a distributed implementation. Numerical results are reported to corroborate the analytical findings.
| Original language | English (US) |
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| Title of host publication | 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings |
| Pages | 2953-2956 |
| Number of pages | 4 |
| DOIs | |
| State | Published - 2012 |
| Event | 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto, Japan Duration: Mar 25 2012 → Mar 30 2012 |
Publication series
| Name | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
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| ISSN (Print) | 1520-6149 |
Other
| Other | 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 |
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| Country/Territory | Japan |
| City | Kyoto |
| Period | 3/25/12 → 3/30/12 |
Bibliographical note
Funding Information:This study was sponsored by the National Science Council, Taiwan, under Grant No. NSC 95-2221-E002-160 and by the National Taiwan University under Grant No. 95-R210.
Keywords
- MIMO cognitive networks
- beamforming
- channel uncertainty
- distributed computation
- robust optimization