Polarforming Design for Movable Antenna Systems

TL;DR

This paper proposes a polarforming design for movable antenna systems that optimizes antenna positions and polarization phase shifts to enhance communication performance by leveraging spatial and polarization degrees of freedom.

Contribution

It introduces a polarized channel model and an SCA-based optimization algorithm for joint antenna positioning and polarforming in movable antenna systems.

Findings

Performance gains over conventional systems in mitigating depolarization.

Effective adaptation to channel fading.

Enhanced achievable rate through joint optimization.

Abstract

Polarforming has emerged as a promising technique to enable the antenna to shape its polarization into a desired state for aligning with that of the received electromagnetic (EM) wave or reconfiguring that of the transmitted EM wave. In this letter, we investigate polarforming design for the movable antenna (MA)-enabled communication system. Specifically, we consider a single-input single-output (SISO) system with reconfigurable antenna positions and polarizations to leverage both spatial and polarization degrees of freedom (DoFs). First, we present a polarized channel model and characterize the channel response as a function of antenna positions and polarforming phase shifts. To maximize the achievable rate of the proposed system, we then develop a successive convex approximation (SCA)-based optimization algorithm by iteratively optimizing the antenna positions and phase shifts at both the transmitter and receiver. Furthermore, simulation results demonstrate the performance gains of the proposed system over conventional systems in mitigating channel depolarization and adapting to channel fading.