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AN-Aided Secure Beamforming in Power-Splitting-Enabled SWIPT MIMO Heterogeneous Wireless Sensor Networks

1
School of Information Engineering, Zhengzhou University, Zhengzhou 450000, China
2
5G Innovation Center (5GIC), Institute for Communication Systems (ICS), University of Surrey, Guildford GU2 7XH, UK
3
School of Electronics and Communication Engineering, Zhengzhou University of Aeronautics, Zhengzhou 450046, China
4
National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, China
5
Jiangsu Provincial Engineering Laboratory for Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi 214122, China
6
National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
7
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
8
The Shaanxi Key Laboratory of Information Communication Network and Security, Xi’an University of Posts & Telecommunications, Xi’an 710121, Shaanxi, China
*
Authors to whom correspondence should be addressed.
Electronics 2019, 8(4), 459; https://doi.org/10.3390/electronics8040459
Received: 4 March 2019 / Revised: 8 April 2019 / Accepted: 17 April 2019 / Published: 25 April 2019
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Abstract

In this paper, we investigate the physical layer security in a two-tier heterogeneous wireless sensor network (HWSN) depending on simultaneous wireless information and power transfer (SWIPT) approach for multiuser multiple-input multiple-output wiretap channels with artificial noise (AN) transmission, where a more general system framework of HWSN only includes a macrocell and a femtocell. For the sake of implementing security enhancement and green communications, the joint optimization problem of the secure beamforming vector at the macrocell and femtocell, the AN vector, and the power splitting ratio is modeled to maximize the minimal secrecy capacity of the wiretapped macrocell sensor nodes (M-SNs) while considering the fairness among multiple M-SNs. To reduce the performance loss of the rank relaxation from the SDR technique while solving the non-convex max–min program, we apply successive convex approximation (SCA) technique, first-order Taylor series expansion and sequential parametric convex approximation (SPCA) approach to transform the max–min program to a second order cone programming (SOCP) problem to iterate to a near-optimal solution. In addition, we propose a novel SCA-SPCA-based iterative algorithm while its convergence property is proved. The simulation shows that our SCA-SPCA-based method outperforms the conventional methods. View Full-Text
Keywords: heterogeneous wireless sensor networks; SWIPT; physical-layer secrecy; secure beamforming; successive convex approximation heterogeneous wireless sensor networks; SWIPT; physical-layer secrecy; secure beamforming; successive convex approximation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Ge, W.; Zhu, Z.; Hao, W.; Wang, Y.; Wang, Z.; Wu, Q.; Chu, Z. AN-Aided Secure Beamforming in Power-Splitting-Enabled SWIPT MIMO Heterogeneous Wireless Sensor Networks. Electronics 2019, 8, 459.

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