Please use this identifier to cite or link to this item: https://doi.org/10.1109/CISS.2008.4558645
Title: Robust cognitive beamforming with partial channel state information
Authors: Zhang, L.
Liang, Y.-C.
Xin, Y. 
Issue Date: 2008
Source: Zhang, L.,Liang, Y.-C.,Xin, Y. (2008). Robust cognitive beamforming with partial channel state information. CISS 2008, The 42nd Annual Conference on Information Sciences and Systems : 890-895. ScholarBank@NUS Repository. https://doi.org/10.1109/CISS.2008.4558645
Abstract: In this paper, we consider a multiple-input singleoutput (MISO) cognitive radio (CR) point-to-point channel coexisting with a single primary user (PU), The channel state information (CSI) between the secondary user (SU) transmitter (SU-Tx) and SU receiver (SU-Rx) is perfectly known at the SU-Tx. However, due to the less cooperation between the SU and the PU, only partial CSI between the SU-Tx and PU is obtained by the SU-Tx. Our objective is, given the transmit power constraint, to determine the optimal transmit signal covariance to maximize the rate of the SU while keeping the interference to the PU less than a threshold with high probability. This problem is termed as a robust cognitive beamforming design problem, and can be formulated as a semi-infinite programming (SIP) problem. An efficient algorithm is then proposed to transform this SIP problem into a finite constraint problem, and it is shown that the algorithm obtains the globally optimal solution. Simulation results are provided to evaluate the effectiveness of the algorithm. © 2008 IEEE.
Source Title: CISS 2008, The 42nd Annual Conference on Information Sciences and Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/71666
ISBN: 9781424422470
DOI: 10.1109/CISS.2008.4558645
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