Reinforcement Learning With Clustering Optimization for Antenna Parameter Adjustment in HAPS Networks
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DOI: 10.1109/access.2025.3612393
Abstract: High-Altitude Platform Stations (HAPS) promise to extend broadband coverage over wide areas by acting as quasi-stationary aerial base stations. However, wind-induced movements cause antenna misalignment and unbalanced user distributions, leading to throughput degradation. This work… read more here.
Keywords: low throughput; antenna; haps networks; reinforcement learning ... See more keywords