论文标题
IRS辅助的误差系统的低复杂性稳健横梁形成设计不完美的通道
Low-Complexity Robust Beamforming Design for IRS-Aided MISO Systems with Imperfect Channels
论文作者
论文摘要
在本文中，在频道不确定性的存在下，考虑了大规模智能反映SUR-FACE（IRS）辅助多输入单输出（MISO）系统。为了通过在IRS处共同优化BS处的主动光束构造，使系统的平均总和速率最大化，同时满足功率约束，通过使用惩罚双重分解（PDD）算法提出了一种新颖的鲁棒光束设计。通过在算法的每种迭代中应用上限最大化/最小化方法（BSUM）方法，可以通过封闭形式表达获得每个变量的最佳解决方案。仿真结果表明，所提出的方案以非常低的计算复杂性达到高性能。
In this paper, large-scale intelligent reflecting sur-face (IRS)-assisted multiple-input single-output (MISO) system is considered in the presence of channel uncertainty. To maximize the average sum rate of the system by jointly optimizing the active beamforming at the BS and the passive phase shifts at the IRS, while satisfying the power constraints, a novel robust beamforming design is proposed by using the penalty dual decomposition (PDD) algorithm. By applying the upper bound maximization/minimization (BSUM) method, in each iteration of the algorithm, the optimal solution for each variable can be obtained with closed-form expression. Simulation results show that the proposed scheme achieves high performance with very low computational complexity.
