This letter studies a multi-user intelligent reflecting surface (IRS)-assisted wireless powered communication networks (WPCN) system. Specifically, a multi-antenna energy station (ES) transmits energy signal to multiple single-antenna users assisted by an IRS. Then users use the harvested energy to transmit respective data to a single-antenna information station (IS) assisted by another IRS. Under this setup, we jointly optimize the energy beamforming, IRS phase shift and time slot allocation to maximize the system throughput by applying the alternating optimization (AO) technique, difference-of-convex (DC) programming, penalty-based method and successive convex approximation (SCA). Simulation results verify that the proposed algorithm can improve the system throughput.

中文翻译：

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IRS 辅助无线供电通信网络的资源分配

这封信研究了多用户智能反射面 (IRS) 辅助无线供电通信网络 (WPCN) 系统。具体来说，多天线能量站（ES）在 IRS 的辅助下向多个单天线用户传输能量信号。然后用户使用收集到的能量将各自的数据传输到由另一个 IRS 协助的单天线信息站 (IS)。在此设置下，我们通过应用交替优化 (AO) 技术、凸差 (DC) 编程、基于惩罚的方法和连续凸近似（SCA）。仿真结果验证了该算法能够提高系统吞吐量。