论文标题
可重新配置智能表面辅助广播渠道的资源分配
Resource allocation for reconfigurable intelligent surface aided broadcast channels
论文作者
论文摘要
考虑了由可重构智能表面的帮助的两用户下行链路网络。提出了加权和最大化的加权总和和噪声比最大化和总和速率最大化模型，其中预编码矢量和RIS矩阵将共同优化。由于优化问题是非凸面和困难的，因此提出了新的近似模型。得出并最大化相应目标函数的上限。提出了两种基于乘数的交替方向方法的新算法。事实证明，只要迭代点收敛，提出的算法会收敛到近似模型的KKT点。模拟结果表明，与最先进的算法相比，所提出的模型的表现良好。
A two-user downlink network aided by a reconfigurable intelligent surface is considered. The weighted sum signal to interference plus noise ratio maximization and the sum rate maximization models are presented, where the precoding vectors and the RIS matrix are jointly optimized. Since the optimization problem is non-convex and difficult, new approximation models are proposed. The upper bounds of the corresponding objective functions are derived and maximized. Two new algorithms based on the alternating direction method of multiplier are proposed. It is proved that the proposed algorithms converge to the KKT points of the approximation models as long as the iteration points converge. Simulation results show the good performances of the proposed models compared to state of the art algorithms.
