Resource Allocation for Secure Full-Duplex Radio Systems

In this paper, we investigate resource allocation for a multiuser communication system employing a full-duplex base station for serving multiple half-duplex downlink and uplink users simultaneously. The considered system enables secure simultaneous downlink and uplink communication via artificial noise (AN) generation causing interference to potential eavesdroppers. The system design objective is to maximize the system secrecy throughput by jointly optimizing the downlink beamformer, the AN covariance matrix, and the uplink transmit power. The algorithm design leads to a non-convex optimization problem and obtaining the globally optimal solution entails a prohibitively high computational complexity. Therefore, an efficient suboptimal iterative algorithm based on successive convex approximation is proposed. Our simulation results confirm that the proposed suboptimal algorithm achieves a substantial system secrecy throughput gain compared to two baseline schemes.