论文标题
在QoS限制下，对IRS辅助MMWave MIMO的联合资源优化
Joint Resource Optimization for IRS-Assisted mmWave MIMO under QoS Constraints
论文作者
论文摘要
这封信重点介绍了具有多用户动态资源的非凸线接头优化，用于反射表面增强的MMWave系统，所有用户都集中在唯一的群集光束上。首先，在服务约束质量下，上述非线性问题的目标函数被转换为二次编程形式。此外，提出了具有动态功率分配的多块交替优化框架以获得最大总和率，其中采用了放松的ADMM算法来解决最佳的fulldigital Precoder，并且相应的被动反射矩阵是通过梯度预测获得的。数值结果验证了在高SINR中应强调的梁优化，但是即使硬件尺寸达到极限，联合动态资源分配也可以进一步提高系统性能。
This letter focuses on the non-convex joint optimization with a dynamic resource of multi-user for an intelligent reflecting surface-enhanced mmWave system, where all users are concentrated on the unique cluster beam. Firstly, the objective function of the above non-linear problem is converted into a quadratic programming form under the quality of service constraints. Further, a multi-blocks alternating optimization framework with dynamic power allocation is proposed to obtain the maximum sum-rate, where the relaxed ADMM algorithm is adopted to tackle the optimal fulldigital precoder and the corresponding passive reflecting matrix is obtained by the gradient-projection. The numerical results verify that beam optimization should be emphasized in high SINR, but joint dynamic resource allocation can further improve system performance even if the hardware dimensions reaches the limit.
