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Energy-Efficient Resource Allocation for Secure NOMA-Enabled Mobile Edge Computing Networks
IEEE Transactions on Communications ( IF 7.2 ) Pub Date : 2020-01-01 , DOI: 10.1109/tcomm.2019.2949994
Wei Wu , Fuhui Zhou , Rose Qingyang Hu , Baoyun Wang

Mobile edge computing (MEC) has been envisaged as a promising technique in the next-generation wireless networks. In order to improve the security of computation tasks offloading and enhance user connectivity, physical layer security and non-orthogonal multiple access (NOMA) are studied in MEC-aware networks. The secrecy outage probability is adopted to measure the secrecy performance of computation offloading by considering a practically passive eavesdropping scenario. The weighted sum-energy consumption minimization problem is firstly investigated subject to the secrecy offloading rate constraints, the computation latency constraints and the secrecy outage probability constraints. The semi-closed form expression for the optimal solution is derived. We then investigate the secrecy outage probability minimization problem by taking the priority of two users into account, and characterize the optimal secrecy offloading rates and power allocations with closed-form expressions. Numerical results demonstrate that the performance of our proposed design are better than those of the alternative benchmark schemes.

中文翻译:

支持 NOMA 的安全移动边缘计算网络的节能资源分配

移动边缘计算 (MEC) 已被视为下一代无线网络中的一项有前途的技术。为了提高计算任务卸载的安全性和增强用户连接性,研究了 MEC 感知网络中的物理层安全性和非正交多址(NOMA)。通过考虑实际被动窃听场景,采用保密中断概率来衡量计算卸载的保密性能。首先在保密卸载速率约束、计算延迟约束和保密中断概率约束下研究加权总和能耗最小化问题。推导出最优解的半封闭形式表达式。然后,我们通过考虑两个用户的优先级来研究保密中断概率最小化问题,并用闭式表达式表征最佳保密卸载率和功率分配。数值结果表明,我们提出的设计的性能优于替代基准方案的性能。
更新日期:2020-01-01
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