Reda, A;
Mekkawy, T;
Tsiftsis, TA;
Chae, CB;
Wong, KK;
(2026)
Towards Joint Optimization for UAV-Integrated RIS-Assisted Fluid Antenna Systems.
IEEE Transactions on Vehicular Technology
10.1109/TVT.2026.3658088.
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Abstract
Unmanned aerial vehicles (UAVs) integrated into cellular networks face significant challenges from air-to-ground interference. To address this, we propose a downlink UAV communication system that leverages a fluid antenna system (FAS)-assisted reconfigurable intelligent surface (RIS) to enhance signal quality. By jointly optimizing the FAS port positions and RIS phase shifts, we maximize the achievable rate. The resulting non-convex optimization problem is solved using successive convex approximation (SCA) based on second-order cone programming (SOCP), which reformulates the constraints into a tractable form. Simulation results show that the proposed algorithm significantly improves both outage probability and achievable rate over conventional fixed-position antenna (FPA) schemes, with particularly large gains in large-scale RIS configurations. Moreover, the algorithm converges rapidly, making it suitable for real-time applications.
| Type: | Article |
|---|---|
| Title: | Towards Joint Optimization for UAV-Integrated RIS-Assisted Fluid Antenna Systems |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/TVT.2026.3658088 |
| Publisher version: | https://doi.org/10.1109/tvt.2026.3658088 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. It has been made open access under the Creative Commons (CC BY) licence under the terms of the UCL Intellectual Property (IP) Policy and UCL Publications Policy. |
| Keywords: | Reconfigurable intelligent surface (RIS), fluid antenna system (FAS), fixed-position antenna (FPA), unmanned aerial vehicles (UAVs), outage probability |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10221318 |
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