Rate Maximization for Fluid Antenna System Assisted Semantic Communication

TL;DR

This paper proposes an optimization framework for rate maximization in a fluid antenna-assisted semantic communication system, jointly optimizing beamforming, semantic compression, and port selection to improve transmission efficiency.

Contribution

It introduces a novel joint optimization approach for semantic compression and fluid antenna port selection in semantic communication systems.

Findings

The proposed algorithm effectively maximizes transmission rate.

Optimal semantic compression ratio is derived in closed form.

Simulation results confirm the algorithm's effectiveness.

Abstract

In this paper, we investigate the problem of rate maximization in a fluid antenna system (FAS) assisted semantic communication system. In the considered model, a base station (BS) with multiple static antennas employs semantic extraction techniques to compress the data ready to be sent to a user. The user equipped with a fluid antenna is located in the near field coverage region of the BS. Our aim is to jointly optimize the transmit beamforming and the semantic compression rate at the BS, as well as the selection of activated ports in FAS, to maximize the equivalent transmission ratio under a specific power budget. We design an alternating algorithm to solve the problem, where we obtain the optimal semantic compression ratio is in closed form at each step. Simulation results validate the effectiveness of the proposed algorithm.