北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2014, Vol. 37 ›› Issue (6): 91-94.doi: 10.13190/j.jbupt.2014.06.019

• 研究报告 • 上一篇    下一篇

认知双向中继网络下分布式鲁棒波束成形

陈雪艳, 郭莉, 林家儒   

  1. 泛网无线通信教育部重点室验室(北京邮电大学), 北京 100876
  • 收稿日期:2014-04-23 出版日期:2014-12-28 发布日期:2014-10-17
  • 作者简介:陈雪艳(1986-),女,博士生,E-mail:chenxy_cxy@163.com;林家儒(1958-),男,教授,博士生导师.
  • 基金资助:

    国家自然科学基金项目(61271178)

Robust Distributed Beamforming in Cognitive Two-Way Relay Networks

CHEN Xue-yan, GUO Li, LIN Jia-ru   

  1. Key Laboratory of Universal Wireless Communications (Beijing University of Posts and Telecommunications), Ministry of Education, Beijing 100876, China
  • Received:2014-04-23 Online:2014-12-28 Published:2014-10-17

摘要:

针对认知双向中继网络下信道状态信息不理想的情况,提出了基于信干噪比(SINR)平衡的分布式鲁棒波束成形算法. 该算法的最优波束成形因子在满足中继总功率和主用户接收端干扰功率受限的条件下,使认知用户在最差情况下的SINR最大化. 通过使用S-Procedure,并引入半正定松弛思想,可将原优化问题转化为凸优化可行性问题进行求解. 仿真结果表明,该算法可有效降低认知用户对主用户接收端的干扰,保证主用户的正常通信,验证了该算法的有效性和鲁棒性.

关键词: 认知网络, 双向中继, 鲁棒波束成形, S-Procedure

Abstract:

A distributed Robust relay beamforming design in cognitive two-way relay networks by considering imperfect channel state information was proposed to improve the minimum worst-case signal-to- interference-plus-noise ratio (SINR) of two cognitive users, satisfying a total relay power constrains and keeping the interference at primary user receiver below an acceptable threshold. Based on S-Procedure, the non-convex problem is transformed into a convex feasibility problem by relaxing the rank constrains, which can be solved efficiently. Simulations show that the proposed design can satisfy both total relay power constrains and interference temperature constrains, and verify the effectiveness of the proposed method as well in comparison to the non-Robust relay beamforming technique.

Key words: cognitive network, two-way relay, Robust beamforming, S-Procedure

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