On Artificial-Noise Aided Transmit Design for Multi-User MISO Systems with Integrated Services

Abstract

This paper considers artificial noise (AN)-aided transmit designs for multi-user MISO systems in the eyes of service integration. Specifically, we combine two sorts of services, and serve them simultaneously: one multicast message intended for all receivers and one confidential message intended for only one receiver. The confidential message is kept perfectly secure from all the unauthorized receivers. Our goal is to jointly design the optimal input covariances for the multicast message, confidential message and AN, such that the achievable secrecy rate region is maximized subject to the sum power constraint. This secrecy rate region maximization (SRRM) problem is a nonconvex vector maximization problem. To handle it, we reformulate the SRRM problem into a provably equivalent scalar optimization problem and propose a searching method to find all of its Pareto optimal points. The equivalent scalar optimization problem is identified as a secrecy rate maximization (SRM) problem with the quality of multicast service (QoMS) constraints. Further, we show that this equivalent QoMS-constrained SRM problem, albeit nonconvex, can be efficiently handled based on a two-stage optimization approach, including solving a sequence of semidefinite programs. Moreover, we also extend the SRRM problem to an imperfect channel state information (CSI) case where a worst-case robust formulation is considered. In particular, while transmit beamforming is generally a suboptimal technique to the SRRM problem, we prove that it is optimal for the confidential message transmission whether in the perfect CSI scenario or in the imperfect CSI scenario. Finally, numerical results demonstrate that the AN-aided transmit designs are effective in expanding the achievable secrecy rate regions.

arXiv commentPart of this work has been presented in IEEE GlobalSIP 2015 and in IEEE ICASSP 2016

References in corpus (10)

• Principles of Physical Layer Security in Multiuser Wireless Networks: A Survey
• Spatially Selective Artificial-Noise Aided Transmit Optimization for MISO Multi-Eves Secrecy Rate Maximization
• Robust Secure Transmission in MISO Channels Based on Worst-Case Optimization
• Physical-Layer Multicasting by Stochastic Transmit Beamforming and Alamouti Space-Time Coding
• Safeguarding Decentralized Wireless Networks Using Full-Duplex Jamming Receivers
• New Results on Multiple-Input Multiple-Output Broadcast Channels with Confidential Messages
• Multiple-Input Multiple-Output Gaussian Broadcast Channels with Common and Confidential Messages
• Wireless Physical Layer Security with Imperfect Channel State Information: A Survey
• Precoder Design for Physical Layer Multicasting
• Secrecy Capacity Region of a Multi-Antenna Gaussian Broadcast Channel with Confidential Messages

Cited by in corpus (2)

• Rate-Splitting Multiple Access in Cache-Aided Cloud-Radio Access Networks
• Joint Power Allocation and Passive Beamforming Design for IRS-Assisted Physical-Layer Service Integration