Robust chance-constrained optimization for power-efficient and secure SWIPT systems

Le, Tuan Anh, Vien, Quoc-Tuan ORCID: https://orcid.org/0000-0001-5490-904X, Nguyen, Huan X. ORCID: https://orcid.org/0000-0002-4105-2558, Ng, Derrick Wing Kwan and Schober, Robert (2017) Robust chance-constrained optimization for power-efficient and secure SWIPT systems. IEEE Transactions on Green Communications and Networking, 1 (3). pp. 333-346. ISSN 2473-2400 (doi:10.1109/TGCN.2017.2706063)

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Abstract

In this paper, we propose beamforming schemes to simultaneously transmit data securely to multiple information receivers (IRs) while transferring power wirelessly to multiple energy-harvesting receivers (ERs). Taking into account the imperfection of the instantaneous channel state information (CSI), we introduce a chance-constrained optimization problem to minimize the total transmit power while guaranteeing data transmission reliability, data transmission security, and power transfer reliability. As the proposed optimization problem is non-convex due to the chance constraints, we propose two robust reformulations of the original problem based on safe-convex-approximation techniques. Subsequently, applying semidefinite programming relaxation (SDR), the derived robust reformulations can be effectively solved by standard convex optimization packages. We show that the adopted SDR is tight and thus the globally optimal solutions of the reformulated problems can be recovered. Simulation results confirm the superiority of the proposed methods in guaranteeing transmission security compared to a baseline scheme. Furthermore, the performance of proposed methods can closely follow that of a benchmark scheme where perfect CSI is available for resource allocation.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer Science > SensoLab group
Item ID: 21956
Notes on copyright: © 2017 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: Tuan Le
Date Deposited: 30 Jun 2017 15:45
Last Modified: 20 Oct 2019 21:52
URI: https://eprints.mdx.ac.uk/id/eprint/21956

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