Robust Secure Transmission and Power Transfer in Heterogeneous Networks With Confidential Information

The network security is becoming more and more important in the fifth-generation (5G) networks. Therefore, the physical layer security with power transfer in heterogeneous network is investigated in this paper. The co-channel interference in the system is exploited for both secure transmission and energy harvesting in two types of eavesdropping, i.e., non-colluding and colluding eavesdropping. As such, we propose a secure transmission scheme, which obtains the maximum secrecy rate, and at the same time satisfy the outage constraints of the users' QoS and the energy harvesting requirements. Assuming that the imperfect channel state information (CSI) follows Truncated Gauss distribution, we propose a novel method based on the expectation and variance of the CSI to transform the original complex problem into the convex optimization problem. Then the algorithms for two eavesdropping cases are provided. At last, numerical results are presented to show the robustness and effectiveness of the proposed algorithms.