Secure Full-Duplex Device-to-Device Communication

TL;DR

This paper develops a robust beamforming and power control framework for secure full-duplex D2D communication in cellular systems, effectively mitigating interference and eavesdropping risks with artificial noise and imperfect CSI.

Contribution

It introduces a novel optimization approach that finds a rank-one optimal solution for secure beamforming under worst-case conditions with imperfect CSI.

Findings

Achieves secure D2D communication with minimized power.

Designs robust beamforming for worst-case CSI scenarios.

Provides a convex solution for a non-convex problem.

Abstract

This paper considers full-duplex (FD) device-to-device (D2D) communications in a downlink MISO cellular system in the presence of multiple eavesdroppers. The D2D pair communicate sharing the same frequency band allocated to the cellular users (CUs). Since the D2D users share the same frequency as the CUs, both the base station (BS) and D2D transmissions interfere each other. In addition, due to limited processing capability, D2D users are susceptible to external attacks. Our aim is to design optimal beamforming and power control mechanism to guarantee secure communication while delivering the required quality-of-service (QoS) for the D2D link. In order to improve security, artificial noise (AN) is transmitted by the BS. We design robust beamforming for secure message as well as the AN in the worst-case sense for minimizing total transmit power with imperfect channel state information (CSI) of all links available at the BS. The problem is strictly non-convex with infinitely many constraints. By discovering the hidden convexity of the problem, we derive a rank-one optimal solution for the power minimization problem.