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Joint Optimization of the Deployment and Resource Allocation of UAVs in Vehicular Edge Computing and Networks

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Document pages: 10 pages

Abstract: With the development of smart vehicles, computing-intensive tasks are widelyand rapidly generated. To alleviate the burden of on-board CPU, connectedvehicles can offload tasks to or make request from nearby edge server thanks tothe emerging Mobile Edge Computing (MEC). However, such approach may sharplyincrease the workload of an edge server, and cause network congestion,especially in rural and mountain areas where there are few edge servers. Tothis end, a UAV-assisted MEC system is proposed in this paper, and jointoptimization algorithm of the deployment and resource allocation of UAVs(JOAoDR) is proposed to decide the location and balance the resource andrewards of the UAVs. We solve a long-term profit maximization problem in termsof the operator. Numerical results demonstrated that our algorithm outperformsother benchmarks algorithm, and validated our solution.

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