In unmanned aerial vehicle(UAV)-enabled wireless networks,UAVs carry the base station(BS)to flexibly provide wireless communication services,supporting data transmission in high-quality wireless channel conditions.Meanwhile,deploying the mobile edge computing server on the UAV brings the computing resource closer to users.The computing server is implemented in the mobile edge by offloading tasks,the tasks can be processed directly on the BS,alleviating the pressure on the fronthaul link.Howev-er,with the consideration of the constrained energy consumption,it is a challenge how to reduce the energy consumption and ensure the stability of data transmission and task processing from users to the BS.Aimed at the scene that users send the data and offload the computing tasks to the BS in the UAV-enabled wireless networks,the energy consumption minimization problem is researched with allocating the radio and computing resources,with the stability constraints of the data transmission queues and task processing queues,the data queues and task queues are constructed,the Lyapunov optimization theory is utilized to transform and decompose the optimization problem,and obtain the tradeoff between the energy consumption and the queue length.The effectiveness of the pro-posed solution is evaluated through the simulation analyses.
维普
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