Reconfigurable intelligent surface (RIS)-based communication networks promise to improve channel capacity and energy efficiency. However, the promised capacity gains could be negligible for passive RISs because of the double pathloss effect. Active RISs can overcome this issue because they have reflector elements with a low-cost amplifier. This letter studies the active RIS-aided simultaneous wireless information and power transfer (SWIPT) in a multiuser system. The users exploit power splitting (PS) to decode information and harvest energy simultaneously based on a realistic piecewise nonlinear energy harvesting model. The goal is to minimize the base station (BS) transmit power by optimizing its beamformers, PS ratios, and RIS phase shifts/amplification factors. The simulation results show significant improvements (e.g., 19% and 28%) with the maximum reflect power of 10 mW and 15 mW, respectively, compared to the passive RIS without higher computational complexity cost. We also show the robustness of the proposed algorithm against imperfect channel state information.
翻译:以智能为基础的重新配置智能表面通信网络有望提高频道容量和能源效率。然而,由于双重路径损失效应,所承诺的能力增量对于被动的RIS可能微不足道。积极的RIS可以克服这一问题,因为它们有低成本放大器的反射元素。这封信研究了活跃的RIS辅助的同步无线信息和多用户系统中的电源传输(SWIPT)。用户利用分电(PS)在现实的片段非线性能源收集模式的基础上同时解码信息并收获能源。目标是通过优化其光谱、PS比率和RIS阶段转移/增殖因素,最大限度地减少基站的输电量。模拟结果显示,最大功率分别为10毫瓦和15毫瓦,而没有较高计算复杂性的成本。我们还表明,拟议算法对于不完善的频道信息来说是稳健的。