Dual Fluid Antenna-Assisted UAV MIMO Networks
arXiv:2607.04748
The paper proposes a dual fluid‑antenna aided UAV MIMO downlink system and jointly optimizes UAV trajectory, antenna positions, and beamforming to maximize the average achievable rate, using an alternating optimization algorithm and showing large performance gains over fixed‑antenna baselines.
Abstract
Fluid Antennas (FAs)-assisted Unmanned Aerial Vehicle (UAV) networks leverage the FA position adaptivity and flexible beamforming to overcome the limitations of Fixed-Positioned Antennas (FPAs) in dynamic UAV channels and Multi-User (MU) interference. This letter investigates a dual FA-assisted UAV network for MU-Multiple-Input-Multiple-Output (MIMO) downlink communications, aiming to maximize the average achievable rate through the joint optimization of UAV trajectory, the transmit/receive FA positions, and beamforming. The formulated problem is highly coupled and non-convex. Accordingly, an efficient Alternating Optimization (AO)-based algorithm is developed for decomposed subproblems, yielding a suboptimal solution. Numerical results demonstrate significant performance gains of 120% and 110% over conventional FPA-based and existing FA-based baselines, respectively.