论文标题
与自我可持续的IRS的多源Miso下行链路系统的总和最大化
Sum-Rate Maximization for Multiuser MISO Downlink Systems with Self-sustainable IRS
论文作者
论文摘要
本文研究了由自我维持的智能反射表面（IRS）辅助的多源多输入单输出（MISO）下行链路通信，可以从接收到的信号中收获功率。我们在访问点（AP）和相位移位和IRS的功率收集时间表上研究光束形成器的关节设计，以最大化系统总和率。考虑到IRS元素收获无线功率以实现自我可持续性的能力，该设计被称为非凸优化问题。随后，我们提出了一种计算效率的交替算法，以获得针对设计问题的次优点。我们的仿真结果揭示了：1）在IRS辅助系统中，系统总和与自我可持续性之间存在非平凡的权衡； 2）随着IRS元素数量越来越多，提出的方案获得的绩效增益得到了改善； 3）配备了小量分辨率离散相位变速器的IRS足以实现具有连续相移的理想情况的相当大的系统总和。
This paper investigates multiuser multi-input single-output (MISO) downlink communications assisted by a self-sustainable intelligent reflection surface (IRS), which can harvest power from the received signals. We study the joint design of the beamformer at an access point (AP) and the phase shifts and the power harvesting schedule at an IRS for maximizing the system sum-rate. The design is formulated as a non-convex optimization problem taking into account the capability of IRS elements to harvest wireless power for realizing self-sustainability. Subsequently, we propose a computationally-efficient alternating algorithm to obtain a suboptimal solution to the design problem. Our simulation results unveil that: 1) there is a non-trivial trade-off between the system sum-rate and self-sustainability in IRS-assisted systems; 2) the performance gain achieved by the proposed scheme is improved with an increasing number of IRS elements; 3) an IRS equipped with small bit-resolution discrete phase shifters is sufficient to achieve a considerable system sum-rate of an ideal case with continuous phase shifts.
