Simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) is a cutting-edge concept for the sixth-generation (6G) wireless networks. In this paper, we propose a novel system that incorporates STAR-RIS with simultaneous wireless information and power transfer (SWIPT) using rate splitting multiple access (RSMA). The proposed system facilitates communication from a multi-antenna base station (BS) to single-antenna users in a downlink transmission. The BS concurrently sends energy and information signals to multiple energy harvesting receivers (EHRs) and information data receivers (IDRs) with the support of a deployed STAR-RIS. Furthermore, an optimization is introduced to strike a balance between users' sum rate and the total harvested energy. To achieve this, an optimization problem is formulated to optimize the energy/information beamforming vectors at the BS, the phase shifts at the STAR-RIS, and the common message rate. Subsequently, we employ a meta deep deterministic policy gradient (Meta-DDPG) approach to solve the complex problem. Simulation results validate that the proposed algorithm significantly enhances both data rate and harvested energy in comparison to conventional DDPG.

翻译：同时透射与反射可重构智能表面（STAR-RIS）是第六代（6G）无线网络的前沿概念。本文提出一种将STAR-RIS与采用速率分裂多址（RSMA）的同步无线信息与能量传输（SWIPT）相结合的新型系统。所提系统支持多天线基站（BS）在下行传输中与单天线用户进行通信。在部署的STAR-RIS辅助下，基站可同时向多个能量采集接收机（EHRs）和信息数据接收机（IDRs）发送能量与信息信号。此外，引入优化机制以平衡用户总速率与总采集能量。为此，构建优化问题以优化基站处的能量/信息波束赋形向量、STAR-RIS的相位偏移以及公共消息速率。我们采用元深度确定性策略梯度（Meta-DDPG）方法求解该复杂问题。仿真结果验证了所提算法相比传统DDPG在数据速率与采集能量方面均具有显著提升。