Robust optimization with probabilistic constraints for power-efficient and secure SWIPT

Le, Tuan Anh and Vien, Quoc-Tuan and Nguyen, Huan X. and Ng, Derrick Wing Kwan and Schober, Robert (2016) Robust optimization with probabilistic constraints for power-efficient and secure SWIPT. In: 2016 IEEE Global Communications Conference (GLOBECOM), 04-08 Dec 2016, Washington, DC, USA.

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Abstract

In this paper, we propose beamforming schemes to simultaneously transmit data to multiple information receivers (IRs) while transfering power wirelessly to multiple energy harvesting receivers (ERs). Taking into account the imperfection of the instantaneous channel state information, we introduce a probabilistic-constrained optimization problem to minimize the total transmit power while guaranteeing data transmission reliability, secure data transmission, and power transfer reliability. As the proposed optimization problem is non-convex and has an infinite number of constraints, we propose two robust reformulations of the original problem adopting safe-convex-approximation techniques. The derived robust formulations are in semidefinite programming forms, hence, they can be effectively solved by standard convex optimization packages. Simulation results confirm the superiority of the proposed approaches to a baseline scheme in guaranteeing transmission security.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer and Communications Engineering
Item ID: 21386
Notes on copyright: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Depositing User: Quoc-Tuan Vien
Date Deposited: 20 Feb 2017 16:16
Last Modified: 07 Dec 2018 08:23
URI: http://eprints.mdx.ac.uk/id/eprint/21386

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