Reliability-Aware Offloading in UAV-Aided Mobile Edge Network by Lyapunov Optimization

Unmanned aerial vehicles (UAVs) have become increasingly popular in providing services to mobile users, as they can enhance network capacity and coverage. UAV-aided mobile edge networks leverage UAVs as edge servers to provide computing resources such that mobile users can offload their computation-intensive tasks to the UAVs. To balance the load among multiple UAVs, an intelligent task offloading scheme is required that can distribute tasks from users to different UAVs while guaranteeing network latency. Moreover, as computation-intensive tasks are energy-consuming, an energy-efficient scheme that can minimize the energy consumption of offloading the tasks is essential. Additionally, UAV-aided edge networks may experience disturbances caused by UAV and communication link failures, making reliability performance a critical consideration. Therefore, in this paper, we investigate the energy-efficient task offloading problem in UAV-aided edge networks with guaranteed reliability and latency. We formulate this problem as an integer programming problem and propose a Lyapunov optimization algorithm to efficiently solve the problem. Simulation results are conducted to demonstrate the feasibility and superiority of our proposed algorithm.