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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.
Aiming at the situation that channel state information is not ideal in cognitive bidirectional relay network, a distributed robust beamforming algorithm based on SINR balance is proposed. The optimal beamforming factor of this algorithm, when satisfying the total relay power And the SINR of the primary user is limited, the cognitive users’ maximum SINR is maximized in the worst case. By using S-Procedure and introducing the semi-definite relaxation theory, the original optimization problem can be transformed into a convex optimization feasible The simulation results show that the proposed algorithm can effectively reduce the interference of the cognitive user to the receiving end of the primary user and ensure the normal communication of the primary user, which verifies the effectiveness and robustness of the algorithm.