Joint Beamforming and 3D Location Optimization for Multi-User Holographic UAV Communications
Chandan Kumar Sheemar, Asad Mahmood, Christo Kurisummoottil Thomas,, George C. Alexandropoulos, Jorge Querol, Symeon Chatzinotas, Walid Saad

TL;DR
This paper introduces a novel joint optimization framework for hybrid holographic beamforming and 3D UAV positioning in multi-user UAV communications, significantly improving network sum rate and adaptability.
Contribution
It presents the first integrated approach combining holographic beamforming and UAV positioning optimization using an iterative algorithm for next-generation aerial wireless networks.
Findings
Enhanced sum rate compared to benchmarks
Effective trade-off management between power, beamforming, and UAV trajectory
Demonstrated adaptability under varying network conditions
Abstract
This paper pioneers the field of multi-user holographic unmanned aerial vehicle (UAV) communications, laying a solid foundation for future innovations in next-generation aerial wireless networks. The study focuses on the challenging problem of jointly optimizing hybrid holographic beamforming and 3D UAV positioning in scenarios where the UAV is equipped with a reconfigurable holographic surface (RHS) instead of conventional phased array antennas. Using the unique capabilities of RHSs, the system dynamically adjusts both the position of the UAV and its hybrid beamforming properties to maximize the sum rate of the network. To address this complex optimization problem, we propose an iterative algorithm combining zero-forcing digital beamforming and a gradient ascent approach for the holographic patterns and the 3D position optimization, while ensuring practical feasibility constraints. The…
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Taxonomy
TopicsUAV Applications and Optimization · Antenna Design and Optimization · Satellite Communication Systems
