Joint Optimization of UAV Formation Deployment,Cache Configuration and User Access Selection
Unmanned aerial vehicles(UAVs),functioning as aerial base stations,not only can deliver mobile communication services to ground users but also can proactively store high-demand content to effec-tively enhance edge communication capabilities.The optimization of UAV deployment,cache configura-tion,and user access selection in tandem can significantly enhance the network performance.However,conventional optimization methods suffer from considerable computational complexity and sluggish conver-gence rates.To tackle this challenge,the joint optimization problem is decomposed into two distinct sub-problems:UAV formation deployment and cache configuration/user access.A hybrid centralized and dis-tributed rapid resource allocation optimization method is designed.For the first sub-problem,a phased ap-proach is employed.UAV deployment is modeled as both a centralized uniform game and a distributed po-tential game,leading to the development of a staged deployment algorithm based on superior responses.Regarding the second sub-problem,a"user-content"virtual entity is created,transforming the original problem into a matching issue between these virtual entities and UAV cache locations.Subsequently,a matching-based virtual entity access algorithm is proposed.The simulation results unequivocally demon-strate that the proposed method,in comparison with traditional distributed superior response methods,achieves quicker convergence and superior overall performance.
content cacheUAV formation deploymentuser accessgame theory