Resource allocation on secrecy energy efficiency for C-RAN with artificial noise.

In this paper, we devote to maximize the secrecy energy efficiency (SEE) for a cloud radio access network where exists an eavesdropper wiretapping information from remote radio head. We first establish the system model and then formulate the power optimization problem to maximize the SEE of the system subject to the fronthaul capacity and transmit power constraints. To address this nonconvex problem, we first convert the fractional objective function into a subtractive form and two algorithms are then proposed to solve it. Simulation results indicate that the proposed the iterative optimization algorithms can obtain higher SEE and present the merit of AN in enhancing the system performance when compared with conventional methods. [ABSTRACT FROM AUTHOR]