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Non-orthogonal Multiple Access assisted Mobile Edge Computing via Device-to-Device Communications

机译:通过设备到设备通信非正交多访问辅助移动边缘计算

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Mobile edge computing (MEC) has been considered as a promising approach for enabling computation-intensive Internet services in future wireless systems. In this paper, we investigate non-orthogonal multiple access (NOMA) assisted MEC, in which edge-computing users (EUs) adopt NOMA to simultaneously offload part of their computation-workloads to the edge-server (ES). To improve the spectrum-efficiency, we consider a paradigm of underlaying device-to-device (D2D) communications, namely, the EUs reuse a cellular user's (CU's) licensed channel for offloading transmission. We firstly characterize the transmit-powers of EUs and CU in this D2D approach, and then formulate a joint optimization of the EUs' computation- workloads offloading and the ES's computation-resource allocation, with the objective of minimizing the latency in completing the EUs' tasks. In spite of the non-convexity of the formulated problem, we exploit its layered structure and propose an efficient algorithm for computing the optimal solution. Numerical results are provided to validate the effectiveness and efficiency of our proposed NOMA assisted MEC via the D2D sharing 1.
机译:移动边缘计算(MEC)被认为是在未来的无线系统中启用计算密集型互联网服务的有希望的方法。在本文中,我们调查非正交多次访问(NOMA)辅助MEC,其中边缘计算用户(EUS)采用NOMA以同时将其计算工作负载的一部分卸载到Edge-Server(ES)。为了提高频谱效率,我们考虑一个底层设备到设备(D2D)通信的范例,即EUS重用蜂窝用户(CU)许可信道以卸载传输。我们首先在该D2D方法中表征EUS和Cu的发射功率,然后配制EUS'计算工作负载卸载和ES的计算资源分配的联合优化,目的是最大限度地减少完成EUS的延迟'任务。尽管配制问题的非凸起,我们利用其分层结构并提出了一种用于计算最佳解决方案的有效算法。提供了数值结果,以通过D2D分享验证我们提出的NOMA辅助MEC的有效性和效率 1

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