NDLI: Robust artificial noise-aided transmit optimisation for MISO wiretap channel with device-to-device underlay communication

Content Provider	IET Digital Library
Author	Huang, Shuai Mei, Weidong Fang, Shu
Abstract	This study considers a cellular multiple-input single-output system overheard by multiple eavesdroppers, in the presence of multiple pairs of single-antenna device-to-device (D2D) nodes working as an underlay. All D2D nodes are permitted to access the cellular channel for their own communications. A novel eavesdropping scenario, termed as simultaneous eavesdropping, is studied, where the eavesdroppers intend to simultaneously overhear the cellular communication as well as D2D communications. Assuming imperfect channel state information (CSI) at the transmitter, the authors goal is to design the robust transmit covariance of confidential message and artificial noise, such that the worst-case sum secrecy rate is maximised. This worst-case sum secrecy rate maximisation problem is challenging to solve due to its non-convexity and semi-infiniteness incurred by the imperfect CSI. As a compromise, the authors develop a tractable approximation to its objective secrecy rate function for deriving a computationally efficient lower bound. Then a successive convex approximation (SCA) algorithm is proposed to solve the approximated problem in an iterative manner with provable convergence guarantee. Then it is proved that the SCA algorithm always yields a beam-forming solution to the confidential message transmission. Numerical results illustrate that the proposed scheme outperforms the traditional one.
Starting Page	1019
Ending Page	1027
Page Count	9
ISSN	17518628
Volume Number	12
e-ISSN	17518636
Issue Number	Issue 8, May (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/12/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2017.0179
Journal	IET Communications
Publisher Date	2018-02-08
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Antenna Array Approximation Theory Array Signal Processing Artificial Noise Beamforming Cellular Channel Cellular Communication Cellular Multiple-input Single-output System Cellular Radio Channel State Information Concave Programming Convex Programming Covariance Analysis CSI D2D Communication Device-to-device Underlay Communication Interpolation And Function Approximation Iterative Manner Iterative Method MISO Communication MISO Wiretap Channel Mobile Handsets Mobile Radio System Multiple Eavesdropper Numerical Analysis Optimisation Technique Radio Transmitters Robust Artificial Noise-aided Transmit Optimisation Robust Transmit Covariance SCA Algorithm Signal Processing And Detection Single-antenna Device-to-device Node Statistics Successive Convex Approximation Tractable Approximation Transmitter Wireless Channel Worst case Sum Secrecy Rate Maximization
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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