認知雙向中繼網(wǎng)絡下分布式魯棒波束成形
發(fā)布時間:2019-05-18 18:47
【摘要】:針對認知雙向中繼網(wǎng)絡下信道狀態(tài)信息不理想的情況,提出了基于信干噪比(SINR)平衡的分布式魯棒波束成形算法.該算法的最優(yōu)波束成形因子在滿足中繼總功率和主用戶接收端干擾功率受限的條件下,使認知用戶在最差情況下的SINR最大化.通過使用S-Procedure,并引入半正定松弛思想,可將原優(yōu)化問題轉化為凸優(yōu)化可行性問題進行求解.仿真結果表明,該算法可有效降低認知用戶對主用戶接收端的干擾,保證主用戶的正常通信,驗證了該算法的有效性和魯棒性.
[Abstract]:In order to solve the problem that channel state information is not ideal in cognitive bidirectional relay networks, a distributed robust beamforming algorithm based on signal-to-noise-to-noise ratio (SINR) balance is proposed. The optimal beamforming factor of the algorithm maximizes the SINR of cognitive users in the worst case under the condition that the total relay power and the interference power of the main user are limited. By using S 鈮,
本文編號:2480248
[Abstract]:In order to solve the problem that channel state information is not ideal in cognitive bidirectional relay networks, a distributed robust beamforming algorithm based on signal-to-noise-to-noise ratio (SINR) balance is proposed. The optimal beamforming factor of the algorithm maximizes the SINR of cognitive users in the worst case under the condition that the total relay power and the interference power of the main user are limited. By using S 鈮,
本文編號:2480248
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