论文标题
通过智能反射表面进行误差通信的最佳光束
Optimal Beamforming for MISO Communications via Intelligent Reflecting Surfaces
论文作者
论文摘要
通过智能反射表面（IRSS）通过智能反射表面的无线通信受到了学术界和行业的极大关注。特别是，IRS能够创建具有通常低成本的被动设备的有利的无线传播环境。尽管文献中已经研究了各种IRS辅助无线通信系统，但到目前为止，此类系统的最佳设计尚不清楚。在本文中，研究了IRS辅助的单用户多输入单输出（MISO）通信。为了最大化光谱效率，提出了分支结合（BNB）算法，以分别在接入点（AP）和IRS的活动和无源束形方面获得全球最佳解决方案。仿真结果证实了在无线系统中部署IRS的有效性。此外，通过将提出的最佳BNB算法作为性能基准，研究了现有设计算法的最佳性。
Wireless communications via intelligent reflecting surfaces (IRSs) has received considerable attention from both academia and industry. In particular, IRSs are able to create favorable wireless propagation environments with typically low-cost passive devices. While various IRS-aided wireless communication systems have been investigated in the literature, thus far, the optimal design of such systems is not well understood. In this paper, IRS-assisted single-user multiple-input single-output (MISO) communication is investigated. To maximize the spectral efficiency, a branch-and-bound (BnB) algorithm is proposed to obtain globally optimal solutions for both the active and passive beamformers at the access point (AP) and the IRS, respectively. Simulation results confirm the effectiveness of deploying IRSs in wireless systems. Furthermore, by taking the proposed optimal BnB algorithm as the performance benchmark, the optimality of existing design algorithms is investigated.
