42 research outputs found
Secure Full-Duplex Device-to-Device Communication
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.Comment: Accepted in IEEE GLOBECOM 2017, Singapore, 4-8 Dec. 201
Secure Full-Duplex Device-to-Device Communication
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.Comment: Accepted in IEEE GLOBECOM 2017, Singapore, 4-8 Dec. 201
QoS-aware User Association and Transmission Scheduling for Millimeter-Wave Train-ground Communications
With the development of wireless communication, people have put forward
higher requirements for train-ground communications in the high-speed railway
(HSR) scenarios. With the help of mobile relays (MRs) installed on the roof of
the train, the application of Millimeter-Wave (mm-wave) communication which has
rich spectrum resources to the train-ground communication system can realize
high data rate, so as to meet users' increasing demand for broad-band
multimedia access. Also, full-duplex (FD) technology can theoretically double
the spectral efficiency. In this paper, we formulate the user association and
transmission scheduling problem in the mm-wave train-ground communication
system with MR operating in the FD mode as a nonlinear programming problem. In
order to maximize the system throughput and the number of users meeting quality
of service (QoS) requirements, we propose an algorithm based on coalition game
to solve the challenging NP-hard problem, and also prove the convergence and
Nash-stable structure of the proposed algorithm. Extensive simulation results
demonstrate that the proposed coalition game based algorithm can effectively
improve the system throughput and meet the QoS requirements of as many users as
possible, so that the communication system has a certain QoS awareness.Comment: 14 page