Energy-Efficient Secure NOMA-Enabled Mobile Edge Computing Networks

This paper considers a non-orthogonal multiple access (NOMA) assisted mobile edge computing (MEC) system in the presence of a malicious eavesdropper. We employ the partial offloading mode such that each user can divide the individual computation task into two parts for local executing and offloading, respectively. The secrecy outage probability is adopted to measure the secrecy performance of computation offloading by considering the practically passive eavesdropping scenario. Under this setup, we investigate the problem of minimizing the weighted sum-energy consumption for all users, subject to the secrecy offloading rates constraints, the computation latency constraints and the secrecy outage probability constraints, and then derive the semi-closed form solution for this problem. Numerical results are provided and demonstrate that the merits of our proposed design are better than those of the alternative benchmark schemes.