Resource Allocation for Transmissive RIS Transceiver Enabled SWIPT Systems

TL;DR

This paper introduces a new TRIS transceiver framework for SWIPT systems, optimizing beamforming to enhance data rates and energy harvesting, solved through advanced convex optimization techniques.

Contribution

It proposes a novel TRIS transceiver design for SWIPT systems and develops an efficient optimization algorithm to maximize sum-rate under practical constraints.

Findings

The proposed algorithm effectively maximizes sum-rate.

Numerical results validate the algorithm's efficiency.

The framework improves both information transfer and energy harvesting.

Abstract

A novel transmissive reconfigurable intelligent surface (TRIS) transceiver-empowered simultaneous wireless information and power transfer (SWIPT) framework is proposed. The sum-rate of the information decoding (ID) users is maximized by optimizing the TRIS transceiver's beamforming, subject to the energy harvesting (EH) users' quality-of-harvest and the per-antenna power constraints. To solve this non-convex problem, we develop an efficient optimization algorithm. First, the original problem is reformulated as a semi-definite programming (SDP) problem. The resulting SDP problem is then addressed using successive convex approximation (SCA) combined with a penalty-based method. Numerical results demonstrate the effectiveness of the algorithm.