Secure SWIPT for directional modulation aided AF relaying networks
Secure SWIPT for directional modulation aided AF relaying networks
Secure wireless information and power transfer based on directional modulation is conceived for amplify-andforward (AF) relaying networks. Explicitly, we first formulate a secrecy rate maximization (SRM) problem, which can be decomposed into a twin-level optimization problem and solved by a one-dimensional (1D) search and semidefinite relaxation (SDR) technique. Then in order to reduce the search complexity, we formulate an optimization problem based on maximizing the signal-to-leakage-AN-noise-ratio (Max-SLANR) criterion, and transform it into a SDR problem. Additionally, the relaxation is proved to be tight according to the classic Karush-Kuhn- Tucker (KKT) conditions. Finally, to reduce the computational complexity, a successive convex approximation (SCA) scheme is proposed to find a near-optimal solution. The complexity of the SCA scheme is much lower than that of the SRM and the Max-SLANR schemes. Simulation results demonstrate that the performance of the SCA scheme is very close to that of the SRM scheme in terms of its secrecy rate and bit error rate (BER), but much better than that of the zero forcing (ZF) scheme.
AF, Array signal processing, artificial noise, Directional modulation, Erbium, Estimation error, Modulation, Optimization, Relays, Robustness, secrecy rate, simultaneous wireless information and power transfer
Zhou, Xiaobo
0deca180-bc8a-42d6-b6a6-237e04cae0e1
Li, Jun
173328aa-1759-4a78-9514-319c5a6ff4b0
Shu, Feng
862e7a4a-480e-440f-a2f9-6d31f6397930
Wu, Qingqing
2ab2d88f-a892-4609-95f9-90c2054b9478
Wu, Yongpeng
93de8f86-e9af-4a90-9306-4838183e57af
Chen, Wen
739112b6-9b2f-4deb-92f3-7c8af78f129e
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Zhou, Xiaobo
0deca180-bc8a-42d6-b6a6-237e04cae0e1
Li, Jun
173328aa-1759-4a78-9514-319c5a6ff4b0
Shu, Feng
862e7a4a-480e-440f-a2f9-6d31f6397930
Wu, Qingqing
2ab2d88f-a892-4609-95f9-90c2054b9478
Wu, Yongpeng
93de8f86-e9af-4a90-9306-4838183e57af
Chen, Wen
739112b6-9b2f-4deb-92f3-7c8af78f129e
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Zhou, Xiaobo, Li, Jun, Shu, Feng, Wu, Qingqing, Wu, Yongpeng, Chen, Wen and Hanzo, Lajos
(2018)
Secure SWIPT for directional modulation aided AF relaying networks.
IEEE Journal on Selected Areas in Communications.
(doi:10.1109/JSAC.2018.2872372).
Abstract
Secure wireless information and power transfer based on directional modulation is conceived for amplify-andforward (AF) relaying networks. Explicitly, we first formulate a secrecy rate maximization (SRM) problem, which can be decomposed into a twin-level optimization problem and solved by a one-dimensional (1D) search and semidefinite relaxation (SDR) technique. Then in order to reduce the search complexity, we formulate an optimization problem based on maximizing the signal-to-leakage-AN-noise-ratio (Max-SLANR) criterion, and transform it into a SDR problem. Additionally, the relaxation is proved to be tight according to the classic Karush-Kuhn- Tucker (KKT) conditions. Finally, to reduce the computational complexity, a successive convex approximation (SCA) scheme is proposed to find a near-optimal solution. The complexity of the SCA scheme is much lower than that of the SRM and the Max-SLANR schemes. Simulation results demonstrate that the performance of the SCA scheme is very close to that of the SRM scheme in terms of its secrecy rate and bit error rate (BER), but much better than that of the zero forcing (ZF) scheme.
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Secure SWIPT for Directional Modulation Aided AF Relaying Networks
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Accepted/In Press date: 6 September 2018
e-pub ahead of print date: 2 October 2018
Keywords:
AF, Array signal processing, artificial noise, Directional modulation, Erbium, Estimation error, Modulation, Optimization, Relays, Robustness, secrecy rate, simultaneous wireless information and power transfer
Identifiers
Local EPrints ID: 426045
URI: http://eprints.soton.ac.uk/id/eprint/426045
ISSN: 0733-8716
PURE UUID: 0be2f034-ded2-4769-924a-4274004f524a
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Date deposited: 09 Nov 2018 17:30
Last modified: 18 Mar 2024 02:36
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Contributors
Author:
Xiaobo Zhou
Author:
Jun Li
Author:
Feng Shu
Author:
Qingqing Wu
Author:
Yongpeng Wu
Author:
Wen Chen
Author:
Lajos Hanzo
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