Unmanned aerial vehicle (UAV)-assisted networks are emerging as a promising technology for establishing emergency communication systems. This PhD project focuses on addressing the challenges of clustering and resource allocation in large-scale UAV networks deployed for search-and-rescue operations in disaster scenarios. The research aims to develop dynamic clustering and spectrum allocation strategies that account for time-varying conditions while meeting critical requirements such as low latency, low power consumption, and high reliability.
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