Polarized 6D Movable Antenna for Wireless Communication: Channel Modeling and Optimization

TL;DR

This paper introduces a polarized 6D movable antenna system that adaptively reconfigures wireless channels through polarization and rotation control, significantly improving communication performance in multiuser systems.

Contribution

It proposes a novel P-6DMA model with a two-timescale transmission protocol and a low-complexity joint design algorithm for polarization and rotation optimization.

Findings

Enhanced sum-rate performance with polarforming and rotation.

Effective channel reconfiguration through adaptive polarization and rotation.

Simulation results outperform benchmarks without adaptive features.

Abstract

In this paper, we propose a novel polarized six-dimensional movable antenna (P-6DMA) to enhance the performance of wireless communication cost-effectively. Specifically, the P-6DMA enables polarforming by adaptively tuning the antenna's polarization electrically as well as controls the antenna's rotation mechanically, thereby exploiting both polarization and spatial diversity to reconfigure wireless channels for improving communication performance. First, we model the P-6DMA channel in terms of transceiver antenna polarforming vectors and antenna rotations. We then propose a new two-timescale transmission protocol to maximize the weighted sum-rate for a P-6DMA-enhanced multiuser system. Specifically, antenna rotations at the base station (BS) are first optimized based on the statistical channel state information (CSI) of all users, which varies at a much slower rate compared to their instantaneous CSI. Then, transceiver polarforming vectors are designed to cater to the instantaneous CSI under the optimized BS antennas' rotations. Under the polarforming phase shift and amplitude constraints, a new polarforming and rotation joint design problem is efficiently addressed by a low-complexity algorithm based on penalty dual decomposition, where the polarforming coefficients are updated in parallel to reduce computational time. Simulation results demonstrate the significant performance advantages of polarforming, antenna rotation, and their joint design in comparison with various benchmarks without polarforming or antenna rotation adaptation.