Two-timescale Optimization for Hybrid Mechanically and Electronically Tunable 6DMA Aided Communication

TL;DR

This paper introduces a novel two-timescale optimization method for a hybrid mechanically and electronically tunable 6DMA base station, enhancing wireless communication by combining wide coverage and rapid beam reconfiguration.

Contribution

It presents a joint design framework for mechanical and electronic configurations of 6DMA antennas, optimizing user sum-rate through a two-timescale approach.

Findings

Significant performance improvements over benchmark schemes.

Effective joint mechanical-electronic configuration optimization.

Enhanced coverage and beam agility in wireless networks.

Abstract

This letter proposes a hybrid mechanically and electronically tunable six-dimensional movable antenna (6DMA) base station (BS) architecture for future wireless communication networks. Such BS consists of multiple antenna arrays that are mechanically movable along a circular rail to adapt to the horizontal user hotspots, and each array is equipped with pattern reconfigurable antennas (PRAs) that are capable of electronically switching among a set of specified beam patterns to cater to the instantaneous user channels. The mechanical adjustment provides wide-angle coverage but suffers from slow response, while the electronic tuning enables rapid beam reconfiguration but with limited angular range. To effectively combine their complementary advantages, we propose to jointly design both mechanical and electronic configurations to maximize the average sum-rate of users via a two-timescale optimization approach, in which the array positions are optimized on the long timescale according to large-scale user distribution statistics, and the pattern selection vectors are optimized on the short timescale to enable fast beam alignment based on the instantaneous user locations. An alternating optimization algorithm based on the Monte Carlo sampling method is developed to solve the problem efficiently. Finally, simulation results show that our proposed design achieves significant performance gains over various benchmark schemes.