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Cooperative beamforming design for double-IRS-assisted MISO communication system
Physical Communication ( IF 2.0 ) Pub Date : 2022-08-17 , DOI: 10.1016/j.phycom.2022.101826
Xue Chen , Hongbo Xu , Guoping Zhang , Aizhi Zhou , Li Zhao , Ze Wang

Intelligent reflecting surface (IRS) has arisen as a promising technology to reconfigure the wireless propagation environment cost-effectively. Most of the existing works on IRS focused on the passive beamforming (PB) optimization and performance enhancement without considering the multiple inter-IRS links cooperation that did not reveal the full preponderance of the multi-IRS-assisted reconfigurable communication system. In this work, we investigate a double-IRS-assisted multiple input single output (MISO) downlink communication system with the active beamforming (AB) and the cooperative PB design in the absence of direct link. Taking both the double-reflection links and the single-reflection links into account, the AB at the base station (BS) and the cooperative PB at two IRSs are jointly optimized to maximize the weight sum rate (WSR) under the constraint of the transmit power. To tackle the problem, we propose the double-IRS-assisted fractional programming block coordinate descent (D-FPBCD) method to find the sub-optimal solution with low complexity. We first reconstruct the original issue as a tractable one by the closed-form fractional programming (FP) approach, then, the prox-linear block coordinate descent (BCD) and successive convex approximation (SCA) techniques are used to find the sub-optimal solution. Finally, simulation results demonstrate the effectiveness of the proposed double-IRS-assisted wireless communication scheme.



中文翻译:

双IRS辅助MISO通信系统的协同波束形成设计

智能反射面 (IRS) 已成为一种有前途的技术,可以经济高效地重新配置无线传播环境。大多数关于 IRS 的现有工作都集中在被动波束成形 (PB) 优化和性能增强上,而没有考虑多个 IRS 间链路协作,这并未揭示多 IRS 辅助可重构通信系统的全部优势。在这项工作中,我们研究了一个双 IRS 辅助的多输入单输出 (MISO) 下行链路通信系统,该系统在没有直接链路的情况下具有主动波束成形 (AB) 和协作 PB 设计。考虑到双反射链路和单反射链路,基站(BS)的AB和两个IRS的协作PB联合优化,在发射功率约束下最大化加权和率(WSR)。为了解决这个问题,我们提出了双IRS辅助分数规划块坐标下降(D-FPBCD)方法来寻找具有低复杂度的次优解。我们首先通过闭式分数规划(FP)方法将原始问题重构为可处理的问题,然后使用近似线性块坐标下降(BCD)和逐次凸逼近(SCA)技术来寻找次优解决方案。最后,仿真结果证明了所提出的双IRS辅助无线通信方案的有效性。我们提出了双IRS辅助分数规划块坐标下降(D-FPBCD)方法来找到具有低复杂度的次优解。我们首先通过闭式分数规划(FP)方法将原始问题重构为可处理的问题,然后使用近似线性块坐标下降(BCD)和逐次凸逼近(SCA)技术来寻找次优解决方案。最后,仿真结果证明了所提出的双IRS辅助无线通信方案的有效性。我们提出了双IRS辅助分数规划块坐标下降(D-FPBCD)方法来找到具有低复杂度的次优解。我们首先通过闭式分数规划(FP)方法将原始问题重构为可处理的问题,然后使用近似线性块坐标下降(BCD)和逐次凸逼近(SCA)技术来寻找次优解决方案。最后,仿真结果证明了所提出的双IRS辅助无线通信方案的有效性。近似线性块坐标下降 (BCD) 和逐次凸逼近 (SCA) 技术用于寻找次优解。最后,仿真结果证明了所提出的双IRS辅助无线通信方案的有效性。近似线性块坐标下降 (BCD) 和逐次凸逼近 (SCA) 技术用于寻找次优解。最后,仿真结果证明了所提出的双IRS辅助无线通信方案的有效性。

更新日期:2022-08-17
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