Non-Orthogonal Network Slicing for eMBB Service in a Multi-UAV-Aided Network
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This paper is concerned with the network slicing problem for enhanced mobile broadband (eMBB) service in a multi-UAV-aided network. Different from most of the existing network slicing approaches, we investigate non-orthogonal network slicing implementation joint with network resource allocation for eMBB service in this paper. Specifically, our objective is to maximize the system energy efficiency while balancing the fairness of service among user equipments (UEs) and the fairness of power consumption among UAVs under the constraints on eMBB UEs' quality of service, UAVs' network capacity and power consumption as well. We formulate the energy efficiency maximization problem as a mixed-integer non-convex programming problem. To alleviate this challenging problem, we develop a solution framework of alternatively optimizing a non-orthogonal slice request acceptance problem and a non-convex network resource allocation problem. Besides, we solve the slice request acceptance problem by designing a two-stage optimization method and tackle the non-convexity of the resource allocation problem by exploiting a successive convex approximation approach. Simulation results show that our proposed framework can achieve the highest energy efficiency compared with other benchmark algorithms.
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