Joint Beamforming and Antenna Design for Near-Field Fluid Antenna System

TL;DR

This paper proposes a joint optimization approach for beamforming and fluid antenna positioning in near-field systems to maximize energy efficiency, demonstrating significant performance gains through simulations.

Contribution

It introduces an alternating optimization algorithm for joint beamforming and antenna placement in near-field fluid antenna systems, a novel approach for energy efficiency enhancement.

Findings

Performance improvement validated by simulations

Effective joint optimization of beamforming and antenna positions

Confirms the effectiveness of fluid antenna systems

Abstract

In this letter, we study the energy efficiency maximization problem for a fluid antenna system (FAS) in near field communications. Specifically, we consider a point-to-point near-field system where the base station (BS) transmitter has multiple fixed-position antennas and the user receives the signals with multiple fluid antennas. Our objective is to jointly optimize the transmit beamforming of the BS and the fluid antenna positions at the user for maximizing the energy efficiency. Our scheme is based on an alternating optimization algorithm that iteratively solves the beamforming and antenna position subproblems. Our simulation results validate the performance improvement of the proposed algorithm and confirm the effectiveness of FAS.