Secure Computation Efficiency Maximization in NOMA-Enabled Mobile Edge Computing Networks

In this paper, a computation efficiency maximization problem is studied in a multi-user non-orthogonal multiple access (NOMA) enabled mobile edge computing (MEC) networks. Physical layer security is used to prevent multi-user computing tasks from eavesdropping. The secure computation efficiency optimization problem is formulated by optimizing the transmission power and central processing unit (CPU) frequency jointly in the NOMA-enabled MEC networks. The problem is non-concave and challenging to solve, and a low complexity sequential fractional programming is proposed to solve this problem. The numerical results are provided to verify that the proposed scheme is superior to the traditional scheme in terms of the secure computation efficiency and our designed iteration algorithm's efficiency is verified.