NDLI: Beamforming design for weighted rate balance in cognitive network

Content Provider	IEEE Xplore Digital Library
Author	Jun Zhang Li Guo Tianyu Kang Jianwei Zhang
Copyright Year	2015
Description	Author affiliation: Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China (Jun Zhang; Li Guo; Tianyu Kang; Jianwei Zhang)
Abstract	When a cognitive radio network shares the spectrum with a primary network, the harmful interference to the primary users is one of the most important concerns. In this paper, we propose a new cognitive scheme which has two cognitive sub-networks sharing the same relay station, considering the interference to the primary user. We study the Weighted Rate Balance problem with the constraint of the transmit power of the cognitive network. Joint beamforming at the cognitive base station and the relay station is used to maximize the Weighted Rate Balance of SUs. To solve the non-convex problem, we adopt the classic altering optimization method, namely the Blahut-Arimoto algorithm. We show that we only need to solve several semidefinite programming(SDP) sub-problems, which have linear matrix inequalities(LMIs), in each iterative step. Simulation results show that, compared with the widely studied diagonally structured beamforming design, the proposed approach performs better.
Starting Page	11
Ending Page	15
File Size	118423
Page Count	5
File Format	PDF
ISBN	9781479980789
DOI	10.1109/ICT.2015.7124649
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-27
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Array signal processing Interference MIMO Cognitive radio Relays Optimization
Content Type	Text
Resource Type	Article

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