Beamforming Design and Power Allocation for Transmissive RMS-based Transmitter Architectures

TL;DR

This paper proposes a novel transmissive RMS-based transmitter design for MISO systems, jointly optimizing beamforming and power allocation to maximize sum-rate, using advanced optimization techniques.

Contribution

It introduces a new RMS-based transmitter architecture and a joint optimization method for beamforming and power allocation in MISO systems.

Findings

The proposed algorithm converges reliably.

The method improves the system's achievable sum-rate.

Simulation results validate the effectiveness of the approach.

Abstract

This letter investigates a downlink multiple input single output (MISO) system based on transmissive reconfigurable metasurface (RMS) transmitter. Specifically, a transmitter design based on a transmissive RMS equipped with a feed antenna is first proposed. Then, in order to maximize the achievable sum-rate of the system, the beamforming design and power allocation are jointly optimized. Since the optimization variables are coupled, this formulated optimization problem is non-convex, so it is difficult to solve it directly. To solve this problem, we propose an alternating optimization (AO) technique based on difference-of-convex (DC) programming and successive convex approximation (SCA). Simulation results verify that the proposed algorithm can achieve convergence and improve the achievable sum-rate of the system.