Probability Constrained Robust Multicast Beamforming in Cognitive Radio Network

被引：0
|
作者：
Liu, Xin [1 ]
Li, Haoqi [1 ]
Wang, Haibin [1 ]
机构：
[1] Chinese Acad Sci, State Key Lab Acoust, Beijing 100190, Peoples R China
来源：
2013 8TH INTERNATIONAL ICST CONFERENCE ON COMMUNICATIONS AND NETWORKING IN CHINA (CHINACOM) | 2013年
关键词：
DOWNLINK;
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中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we design a probability constrained robust multicast beamforming in cognitive radio network. We adopt the Bernstein inequality to approximate the probability constraints into their corresponding deterministic forms. Since the approximate problem is still nonconvex, we then employ a successive convex approximation (SCA) technique to transfer it into an sequence SOCP and prove the SCA algorithm converges to a stationary point. Numerical simulations are provided to demonstrate the effectiveness of the proposed methods, and show its superiority compared with the conventional worst-case robust design.
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页码：708 / 712
页数：5
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