认知双向中继网络下分布式鲁棒波束成形

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.

Robust Distributed Beamforming in Cognitive Two-Way Relay Networks

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.