Toggle Main Menu Toggle Search

Open Access padlockePrints

Robust secrecy rate optimisations for multiuser multiple-input-single-output channel with device-to-device communications

Lookup NU author(s): Zheng Chu, Dr Kanapathippillai Cumanan, Dr Zhiguo Ding

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

In the present study, the authors investigate robust secrecy rate optimisation problems for a multiple-input-single-output secrecy channel with multiple device-to-device (D2D) communications. The D2D communication nodes access this secrecy channel by sharing the same spectrum, and help to improve the secrecy communications by confusing the eavesdroppers. In return, the legitimate transmitter ensures that the D2D communication nodes achieve their required rates. In addition, it is assumed that the legitimate transmitter has imperfect channel state information of different nodes. For this secrecy network, the authors solve two robust secrecy rate optimisation problems: (a) robust power minimisation problem, subject to the probability based secrecy rate and the D2D transmission rate constraints; (b) robust secrecy rate maximisation problem with the transmit power, the probabilistic based secrecy rate and the D2D transmission rate constraints. Owing to the non-convexity of robust beamforming design based on two statistical channel uncertainty models, the authors present two conservative approximation approaches based on Bernstein-type' inequality and S-Procedure' to solve these robust optimisation problems. Simulation results are provided to validate the performance of these two conservative approximation methods, where it is shown that Bernstein-type' inequality based approach outperforms the S-Procedure' approach in terms of achievable secrecy rates.


Publication metadata

Author(s): Chu Z, Cumanan K, Xu M, Ding ZG

Publication type: Article

Publication status: Published

Journal: IET Communications

Year: 2015

Volume: 9

Issue: 3

Pages: 396-403

Online publication date: 12/02/2015

Acceptance date: 08/08/2014

ISSN (print): 1751-8628

ISSN (electronic): 1751-8636

Publisher: IET

URL: http://dx.doi.org/10.1049/iet-com.2014.0310

DOI: 10.1049/iet-com.2014.0310


Altmetrics

Altmetrics provided by Altmetric


Share