Security Task Unloading of Wireless Powered Mobile Edge Computing System

This paper considers a wireless powered mobile edge computing(MEC) system with multiple user nodes and some eavesdropping nodes, studies the physical layer security offloading and resource allocation of wireless powered MEC systems, and proposes a resource allocation scheme for the wireless powered MEC security offloading system suitable for offline state. Under the constraints of ensuring energy harvesting, secure offloading, and computational delay, this scheme achieves the minimization of system's access point(AP) energy consumption by jointly optimizing the covariance matrix of AP energy transmission, local CPU frequency, number of user offloading bits, allocation of user offloading time, and user transmission power. In the process of solving the problem, a difference of convex algorithm(DCA) is first used to convert the original non convex problem into a convex problem, and then the Lagrange duality method is used to solve the optimal solution of the problem in a semi closed form. The simulation experimental results show that the proposed secure partial offloading scheme can effectively reduce AP energy consumption and have good performance gains.