Article (Scientific journals)
Robust Cognitive Beamforming With Bounded Channel Uncertainties
Zheng, Gan; Wong, K.-K.; Ottersten, Björn
2009In IEEE Transactions on Signal Processing, 57 (12), p. 4871-4881
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Abstract :
[en] This paper studies the robust beamforming design for a multi-antenna cognitive radio (CR) network, which transmits to multiple secondary users (SUs) and coexists with a primary network of multiple users. We aim to maximize the minimum of the received signal-to-interference-plus-noise ratios (SINRs) of the SUs, subject to the constraints of the total SU transmit power and the received interference power at the primary users (PUs) by optimizing the beamforming vectors at the SU transmitter based on imperfect channel state information (CSI). To model the uncertainty in CSI, we consider a bounded region for both cases of channel matrices and channel covariance matrices. As such, the optimization is done while satisfying the interference constraints for all possible CSI error realizations. We shall first derive equivalent conditions for the interference constraints and then convert the problems into the form of semi-definite programming (SDP) with the aid of rank relaxation, which leads to iterative algorithms for obtaining the robust optimal beamforming solution. Results demonstrate the achieved robustness and the performance gain over conventional approaches and that the proposed algorithms can obtain the exact robust optimal solution with high probability.
Disciplines :
Computer science
Computer science
Identifiers :
UNILU:UL-ARTICLE-2009-822
Author, co-author :
Zheng, Gan 
Wong, K.-K.
Ottersten, Björn ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Language :
English
Title :
Robust Cognitive Beamforming With Bounded Channel Uncertainties
Publication date :
December 2009
Journal title :
IEEE Transactions on Signal Processing
ISSN :
1053-587X
Publisher :
IEEE
Volume :
57
Issue :
12
Pages :
4871-4881
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 03 October 2013

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