UAV-Enabled Wireless Networks with Movable-Antenna Array: Flexible Beamforming and Trajectory Design

TL;DR

This paper proposes a joint optimization framework for UAV-enabled wireless networks using movable antenna arrays to improve data rates through flexible beamforming and trajectory design, demonstrating significant performance gains.

Contribution

It introduces a novel joint optimization approach for UAV trajectory, beamforming, and antenna positions in UAV-enabled networks with movable antennas, which was not addressed before.

Findings

Achieves higher data rates compared to fixed antenna systems.

The proposed alternating optimization algorithm effectively handles the non-convex problem.

Numerical results confirm the performance benefits of movable antenna arrays.

Abstract

Recently, movable antenna (MA) array becomes a promising technology for improving the communication quality in wireless communication systems. In this letter, an unmanned aerial vehicle (UAV) enabled multi-user multi-input-single-output system enhanced by the MA array is investigated. To enhance the throughput capacity, we aim to maximize the achievable data rate by jointly optimizing the transmit beamforming, the UAV trajectory, and the positions of the MA array antennas. The formulated data rate maximization problem is a highly coupled non-convex problem, for which an alternating optimization based algorithm is proposed to get a sub-optimal solution. Numerical results have demonstrated the performance gain of the proposed method compared with conventional method with fixed-position antenna array.