Abstract
Mobile edge computing (MEC) has been regarded as a promising technology to improve the quality of service (QoS) of users by offloading their computation-intensive and delay-sensitive tasks to the wireless network edge. In this paper, we investigate the resource allocation problem for MEC in non-orthogonal multiple access (NOMA)-enabled small cell networks (SCNs), where the small cell users (SCUs) can offload their computational tasks to the associated small base station (SBS) via NOMA protocol. To minimize the total energy consumption of all users, we jointly consider power control, computation resource and subchannel resource allocation. The optimization problem can be solved by a two-stage approach that consists of a heuristic computation resource allocation process and a subchannel-allocation matching game coupled with power control. Simulation results reveal that our proposed algorithm can achieve higher performance than other simplified schemes in terms of saving system energy consumption.
Published Version
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