RIS-Aided Fluid Antenna Array-Mounted AAV Networks

This letter investigates reconfigurable intelligent surface (RIS)-assisted autonomous aerial vehicle (AAV) downlink networks with fluid antennas (FA), where RIS enables non-line-of-sight (NLoS) transmissions. Moreover, the FA is equipped on the AAV offering dynamic antenna position adjustment, enhancing spatial diversity besides AAV deployment. We aim at total downlink rate maximization while ensuring minimum user rate requirement. We consider joint optimization of active AAV beamforming, passive RIS beamforming, AAV deployment and FA position adjustment. To address the complex problem, we propose beamfomring for RIS/AAV and FA-AAV deployment (BRAUD) scheme by employing alternative optimization, successive convex approximation (SCA) and sequential rank-one constraint relaxation (SROCR) method for the decomposed subproblems. Simulation results demonstrate the effectiveness of RIS-FA-AAV, achieving the highest rate among existing architectures without FA/AAV/RIS deployment and without proper beamforming.