SINR Balancing in the Downlink of Cognitive Radio Networks with Imperfect Channel Knowledge (2010)
Type of ContentConference Contributions - Published
PublisherUniversity of Canterbury. Electrical and Computer Engineering
University of Canterbury. Mathematics and Statistics
AuthorsAlouini, M., Smith, P., Hanif, M.show all
In this paper we consider the problem of signal-tointerference- plus-noise ratio (SINR) balancing in the downlink of cognitive radio (CR) networks while simultaneously keeping interference levels at primary user (PU) receivers (RXs) below an acceptable threshold with uncertain channel state information available at the CR base-station (BS). We optimize the beamforming vectors at the CR BS so that the worst user SINR is maximized and transmit power constraints at the CR BS and interference constraints at the PU RXs are satisfied. With uncertainties in the channel bounded by a Euclidean ball, the semidefinite program (SDP) modeling the balancing problem is solved using the recently developed convex iteration technique without relaxing the rank constraints. Numerical simulations are conducted to show the effectiveness of the proposed technique in comparison to known approximations.
CitationAlouini, M., Smith, P., Hanif, M. (2010) SINR Balancing in the Downlink of Cognitive Radio Networks with Imperfect Channel Knowledge. Cannes, France: 5th International Conference on Cognitive Radio Oriented Wireless Networks & Communications (CrownCom 2010), 9-11 Jun 2010. 2010 Proceedings of the Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications, Online.
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Keywordsarray signal processing; cognitive radio; interference (signal); iterative methods; radio receivers
ANZSRC Fields of Research09 - Engineering::0906 - Electrical and Electronic Engineering
01 - Mathematical Sciences::0104 - Statistics