论文标题
一种基于SCA的新型方法，用于IRS/RIS辅助MU-MISO下行链路上的优化优化方法
A Novel SCA-Based Method for Beamforming Optimization in IRS/RIS-Assisted MU-MISO Downlink
论文作者
论文摘要
在这封信中，我们考虑了共同设计发射光束器的基本问题，以及智能反射表面（IRS） /可重构智能表面（RIS）的智能反射表面（IRS）的相移，以最大程度地减少发射功率，但要受到IRS辅助的多个多IUSS辅助的多个多输入的单输入单输入的单个单位输入系统的服务质量限制。特别是，我们提出了一种基于新的连续凸近近似二阶编程方法，其中所有优化变量在每次迭代中均同时更新。与最先进的基准解决方案相比，我们提出的计划取得了卓越的性能。此外，提出的方案的复杂性为$ o（n _ {\ mathrm s}^{3.5}）$，而最先进的基准方案的复杂性为$ o（n _ {\ mathrm s}^{7}）$，其中$ n _ {\ mathrm s} $ demots $ demotes erss ers ers ers evers recess exdy exdy exdy exding exdive resdive resdive resde the recess recess。
In this letter, we consider the fundamental problem of jointly designing the transmit beamformers and the phase-shifts of the intelligent reflecting surface (IRS) / reconfigurable intelligent surface (RIS) to minimize the transmit power, subject to quality-of-service constraints at individual users in an IRS-assisted multiuser multiple-input single-output downlink communication system. In particular, we propose a new successive convex approximation based second-order cone programming approach in which all the optimization variables are simultaneously updated in each iteration. Our proposed scheme achieves superior performance compared to state-of-the-art benchmark solutions. In addition, the complexity of the proposed scheme is $O(N_{\mathrm s}^{3.5})$, while that of state-of-the-art benchmark schemes is $O(N_{\mathrm s}^{7})$, where $N_{\mathrm s}$ denotes the number of reflecting elements at the IRS.
