Bandwidth Resource Allocation and Uplink Optimization in MEC System Based on Multi-UAV Collaboration

Unmanned aerial vehicle (UAV) assisted mobile edge computing (MEC) has emerged as a promising solution to improve the performance of communication systems. In order to make use of UAVs to improve the performance of communication systems, this paper proposes an iterative optimization algorithm to meet the communication quality of mobile devices (MDs) in a multi-UAV-assisted MEC system under emergency situations. The algorithm jointly optimizes the number and deployment of UAVs in the system, the selection strategy of MD access links and the bandwidth allocation of each channel, so as to maximize the uplink transmission rate of all MDs in the entire communication system, as well as identify and cover isolated MDs. Through improved clustering algorithm and linear programming, the optimization problem is solved to maximize the uplink rate of the system. Finally, extensive evaluation results show that our proposed framework has superior performance.