{"ID":5937287,"CreatedAt":"2026-07-07T03:14:33.014478982Z","UpdatedAt":"2026-07-09T07:36:34.090478772Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.04748","arxiv_id":"2607.04748","title":"Dual Fluid Antenna-Assisted UAV MU-MIMO Networks","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.","short_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-Multi...","url_abs":"https://arxiv.org/abs/2607.04748","url_pdf":"https://arxiv.org/pdf/2607.04748v1","authors":"[\"Runke Fan\",\"Tianheng Xu\",\"Pei Peng\",\"Xianfu Chen\",\"Celimuge Wu\",\"Kai-Kit Wong\",\"Mohsen Guizani\"]","published":"2026-07-06T07:38:12Z","proceeding":"eess.SP","tasks":"[\"eess.SP\"]","methods":"[]","has_code":false}