论文标题
通过智能反射表面进行两种方式通信的两条通信的总和利率优化
Sum Rate Optimization for Two Way Communications with Intelligent Reflecting Surface
论文作者
论文摘要
在这封信中，研究了一个智能反射表面（IRS）增强的全双制MIMO双向通信系统。通过共同优化源预制器和IRS相移矩阵来最大化系统总和速率。采用Arimoto-blahut算法的概念，非凸优化问题被解耦到三个子问题，交替解决。所有子问题都可以通过封闭式溶液有效地解决。此外，还考虑了实用的IRS假设，例如离散的相移水平。数值结果验证了所提出的方案的收敛性和性能。
In this letter, an intelligent reflecting surface (IRS) enhanced full-duplex MIMO two-way communication system is studied. The system sum rate is maximized through jointly optimizing the source precoders and the IRS phase shift matrix. Adopting the idea of Arimoto-Blahut algorithm, the non-convex optimization problem is decoupled into three sub-problems, which are solved alternatingly. All the sub-problems can be solved efficiently with closed-form solutions. In addition, practical IRS assumptions, e.g., discrete phase shift levels, are also considered. Numerical results verify the convergence and performance of the proposed scheme.
