Simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) is a cutting-edge concept for the sixth-generation (6G) wireless networks. In this letter, 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, a multi-objective 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：同时透射和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。本文提出了一种将STAR-RIS与基于速率分割多址接入（RSMA）的无线携能通信（SWIPT）相结合的新系统。该系统中，多天线基站（BS）在下行链路中向单天线用户传输信号。通过部署的STAR-RIS支持，基站同时向多个能量收集接收机（EHRs）和信息数据接收机（IDRs）发送能量和信息信号。此外，引入多目标优化以实现用户和速率与总收集能量之间的平衡。为此，建立了优化问题模型，以优化基站的能量/信息波束赋形向量、STAR-RIS的相位偏移以及公共消息速率。随后，采用元深度确定性策略梯度（Meta-DDPG）方法解决该复杂问题。仿真结果验证了所提算法相比传统DDPG在数据速率和收集能量方面均具有显著提升。