Self-Sustainable Reconfigurable Intelligent Surface Aided Simultaneous Terahertz Information and Power Transfer (STIPT)

TL;DR

This paper introduces a novel RIS-assisted system for simultaneous terahertz information and power transfer, optimizing data rates and energy harvesting through advanced algorithms, demonstrating significant performance improvements.

Contribution

It proposes a new RIS-assisted STIPT system with a novel optimization algorithm to enhance data and power transfer efficiency in terahertz communications.

Findings

Significant increase in data rate with RIS assistance

Effective energy harvesting for users and RIS

Validation of the optimization algorithm's performance

Abstract

This paper proposes a new simultaneous terahertz (THz) information and power transfer (STIPT) system, which is assisted by reconfigurable intelligent surface (RIS) for both the information data and power transmission. We aim to maximize the information users' (IUs') data rate while guaranteeing the energy users' (EUs') and RIS's power harvesting requirements. To solve the formulated non-convex problem, the block coordinate descent (BCD) based algorithm is adopted to alternately optimize the transmit precoding of IUs, RIS's reflecting coefficients, and RIS's coordinate. The Penalty Constrained Convex Approximation (PCCA) Algorithm is proposed to solve the intractable optimization problem of the RIS's coordinate, where the solution's feasibility is guaranteed by the introduced penalties. Simulation results confirm that the proposed BCD algorithm can significantly enhance the performance of STIPT by employing RIS.