论文标题
IRS辅助的全双工通信的快速收敛范围设计
Beamforming Design with Fast Convergence for IRS-Aided Full-Duplex Communication
论文作者
论文摘要
我们在本信中研究了针对智能反射表面（IRS）的全双工（FD）通信系统的波束形成优化。具体而言，我们通过共同优化IRS反射的发射光束形成和光束形成，从而最大化双向传输的总和速率。开发了一种快速收敛的交替算法来解决此问题。在所提出的算法的每次迭代中，分别以半闭合形式和封闭形式获得了发射光束形成和IRS的溶液。与基于Arimoto-Blahut算法的现有方法相比，所提出的方法在享受更快的收敛性和较低的计算复杂性的同时，达到了几乎相同的性能。
We study the beamforming optimization for an intelligent reflecting surface (IRS)-aided full-duplex (FD) communication system in this letter. Specifically, we maximize the sum rate of bi-directional transmissions by jointly optimizing the transmit beamforming and the beamforming of the IRS reflection. A fast converging alternating algorithm is developed to tackle this problem. In each iteration of the proposed algorithm, the solutions to the transmit beamforming and the IRS reflect beamforming are obtained in a semi-closed form and a closed form, respectively. Compared to an existing method based on the Arimoto-Blahut algorithm, the proposed method achieves almost the same performance while enjoying much faster convergence and lower computational complexity.
