Abstract
Collaborative UAV swarms are increasingly deployed as temporary base stations in emergency situations to relay communications. This paper designs intelligent optimization algorithms, which minimizing mutual coherence within a region of interest (ROI) aims to solving challenge in these scenarios is optimizing the UAVs' locations to avoid mutual signal interference and ensure high communication quality. Minimizing mutual coherence reduces the likelihood of signal interference between UAVs. We explore various optimize algorithum, including Heuristic Search (HS) and Ant Colony Optimization (ACO) and so on. The results provide insights into each algorithm's performance in dynamic environments, helping to identify the most suitable approaches for UAV deployment in emergency scenarios. This study contributes to the development of efficient UAV deployment strategies, enhancing the reliability of UAV-based communication systems during critical events.
Published Version
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