基于NOMA的MEC网络中安全节能的卸载和资源分配
Secure and Energy-Efficient Offloading and Resource Allocation in a NOMA-Based MEC Network
摘要：
能源效率和安全性是移动边缘计算（MEC）网络的两个关键问题。在随机任务到达、时变动态环境以及攻击者被动存在的情况下，安全有效地卸载计算任务是非常具有挑战性的。在本文中，我们研究了非正交多址接入（NOMA）辅助MEC网络的安全性和能源效率的考虑任务卸载和资源分配问题。针对该问题，基于李亚普诺夫优化理论，提出了一种动态安全任务卸载和资源分配算法。提出了一个随机非凸问题，以最大化网络能量效率为目标，联合优化本地CPU频率和发射功率，能量效率定义为所有用户的长期平均安全速率与长期平均功耗之比.在每个时间段内，将问题分解为确定性子问题。最优的本地CPU周期和每个用户的发射功率可以在封闭式中给出。仿真结果评估了不同参数对效率指标的影响，并表明所提出的方法可以实现更好的性能相比，其他基准方法的能源效率。
英文摘要：
Energy efficiency and security are two critical issues for mobile edge computing (MEC) networks. With stochastic task arrivals, time-varying dynamic environment, and passive existing attackers, it is very challenging to offload computation tasks securely and efficiently. In this paper, we study the task offloading and resource allocation problem in a non-orthogonal multiple access (NOMA) assisted MEC network with security and energy efficiency considerations. To tackle the problem, a dynamic secure task offloading and resource allocation algorithm is proposed based on Lyapunov optimization theory. A stochastic non-convex problem is formulated to jointly optimize the local-CPU frequency and transmit power, aiming at maximizing the network energy efficiency, which is defined as the ratio of the long-term average secure rate to the long-term average power consumption of all users. The formulated problem is decomposed into the deterministic sub-problems in each time slot. The optimal local CPU-cycle and the transmit power of each user can be given in the closed-from. Simulation results evaluate the impacts of different parameters on the efficiency metrics and demonstrate that the proposed method can achieve better performance compared with other benchmark methods in terms of energy efficiency.
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