Robust chance-constrained optimization for power-efficient and secure SWIPT systems
Article
Le, T., Vien, Q., Nguyen, H., Ng, D. and Schober, R. 2017. Robust chance-constrained optimization for power-efficient and secure SWIPT systems. IEEE Transactions on Green Communications and Networking. 1 (3), pp. 333-346. https://doi.org/10.1109/TGCN.2017.2706063
Type | Article |
---|---|
Title | Robust chance-constrained optimization for power-efficient and secure SWIPT systems |
Authors | Le, T., Vien, Q., Nguyen, H., Ng, D. and Schober, R. |
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. |
Keywords | Physical (PHY) layer security; wireless information and power transfer; robust beamforming; semidefinite programming relaxation; RF energy harvesting; outage constrained optimization |
Research Group | SensoLab group |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Journal | IEEE Transactions on Green Communications and Networking |
ISSN | |
Electronic | 2473-2400 |
Publication dates | |
Online | 18 May 2017 |
01 Sep 2017 | |
Publication process dates | |
Deposited | 30 Jun 2017 |
Accepted | 12 May 2017 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | © 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. |
Digital Object Identifier (DOI) | https://doi.org/10.1109/TGCN.2017.2706063 |
Web of Science identifier | WOS:000753826500008 |
Language | English |
https://repository.mdx.ac.uk/item/8700y
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