Energy Efficiency Maximization in RIS-Assisted SWIPT Networks With RSMA: A PPO-Based Approach

This paper investigates reconfigurable intelligent surface (RIS)-assisted simultaneous wireless information and power transfer (SWIPT) networks with rate splitting multiple access (RSMA). An energy efficiency (EE) maximization problem is formulated subject to the power budget at the transmitter and the quality of service (QoS) requirements of both information communication and energy harvesting, where the beamforming vectors, the power splitting (PS) ratios, the common message rates, and the discrete phase shifts are jointly optimized. To tackle the non-convex problem with both discrete and continuous variables, a deep reinforcement learning-based approach is proposed with the proximal policy optimization…

• NN
  National Natural Science Foundation of China

  Awards: 62101025, 62071033
• RG
  Research Grants Council, University Grants Committee

  Award: 16208921
• AR
  Australian Research Council

  Award: DP210102169
• FR
  Fundamental Research Funds for the Central Universities

  Awards: 2022JBXT001, 2022JBGP003