Secure Full-Duplex Device-to-Device Communication

Abstract

This paper considers full-duplex (FD) device-todevice (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.

The Full-Duplex Device-to-Device Security Communication Under the Coverage of Unmanned Aerial Vehicle

“…Meanwhile, it also shows that the secure coverage probabilities for both users will decrease as β increases. Furthermore, from (9) and (13), it is shown that the CU's secure coverage probability is only relate to the relative position with UAV and their eavesdroppers, and the scope of communication area. While the secure coverage of DUs are affected by many parameters, as the impact of 0 Fig.…”

“…Under the circular-shaped UAV secure coverage, the formula (9) and (13) have shown that the CU's secure coverage probability is a function of both h and C R (but not of U P ). In this case, the mobile UAV is capable of both providing secure communication enhancement with variant h values and serving area after performing parameter adjustment.…”

“…The throughput of FD-mode D2D network have been discussed in [11], and the effects of residual SI and spectral efficiency are analyzed in [12]. In FD-mode D2D security communication, the BS can allocate a fraction of the total transmitted signal as artificial noise (AN) to degrade the eavesdroppers' channel, which can be employed for improving the security of the communications, but the FD-mode D2D only share the frequency band allocated to a CU by the BS [13]. In [14], the FD relay node receives the data and transmits jamming signals at the same time, which has the same data rate as the HD scheme but significant improving the secrecy performance, but it has not considered the D2D communication.…”

“…Unlike [15] in which the base station works in the FD mode, we allow the D2D (its receivers) to work in FD mode (e.g. like in [11]- [13], [16]) to prevent eavesdropping by transmitting jamming signals [14].  The closed form expression of the security capacity under the UAV coverage in UAV-based BS is derived, showing that the UAV-based solution not only enhance the CUs communication security, but also increase DUs' capacity (thus increase the system's sum capacity).…”

Joint Power Control and Resource Allocation for Optimizing the D2D User Performance of Full-Duplex D2D Underlying Cellular Networks

“…These mechanisms take into account the locations of homogeneous spatial Poisson point processes for FD-D2D users. Moreover, there are other promising techniques being considered that coexist with FD-D2D, such as FD-D2D underlying cellular networks equipped with base station MIMO antennas, as explored in [20,21]. However, the previous studies typically concentrate on overall cell performance improvement, with only a limited number of works focusing on maximizing D2D link throughput, as discussed in [19].…”