Please use this identifier to cite or link to this item:
Title: Robust cognitive beamforming with partial channel state information
Authors: Zhang, L.
Liang, Y.-C.
Xin, Y. 
Issue Date: 2008
Citation: 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.
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
ISBN: 9781424422470
DOI: 10.1109/CISS.2008.4558645
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Apr 20, 2019

Page view(s)

checked on Apr 21, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.