Multiple antennas selection for linear precoding MISO cognitive radio

Authors:
Jun Zhou;John Thompson;Ioannis Krikidis
Affiliations:
Institute for Digital Communications, Joint Research Institute for Signal & Image Processing, School of Engineering & Electronics, The University of Edinburgh, Edinburgh, UK;Institute for Digital Communications, Joint Research Institute for Signal & Image Processing, School of Engineering & Electronics, The University of Edinburgh, Edinburgh, UK;Institute for Digital Communications, Joint Research Institute for Signal & Image Processing, School of Engineering & Electronics, The University of Edinburgh, Edinburgh, UK
Venue:
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Year:
2009

Citing 4
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Abstract

Using multiple antennas in coexisting radio systems can cancel or control the co-channel interference (CCI), hence improve the overall spectrum efficiency. However, one of the drawbacks of such techniques is the hardware complexity. Antenna selection technology may reduce such costs while partly keeping the advantages of multiple antennas. In this paper, we focus on the downlink of a linear precoding multiple input single output (MISO) cognitive radio (CR) system and apply antenna selection techniques in the transmitter side of the secondary system. We discuss the optimal, maximum norm, and our proposed subset optimal selection strategy, which has a lower computational complexity and reduces feedback information compared to the optimal method. The simulation results show that our proposed methods achieve near optimal performance in terms of SNR.