Global Energy Efficiency in Secure MISO SWIPT Systems With Non-Linear Power-Splitting EH Model

This paper considers an MISO simultaneous wireless information and power transfer (SWIPT) system, where one transmitter serves multiple authorized receivers in the presence of several potential eavesdroppers (idle receivers). To prevent the information interception by eavesdroppers, artificial noise...

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Veröffentlicht in:IEEE journal on selected areas in communications 2019-01, Vol.37 (1), p.216-232
Hauptverfasser: Lu, Yang, Xiong, Ke, Fan, Pingyi, Ding, Zhiguo, Zhong, Zhangdui, Letaief, Khaled Ben
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Xiong, Ke
Fan, Pingyi
Ding, Zhiguo
Zhong, Zhangdui
Letaief, Khaled Ben
description This paper considers an MISO simultaneous wireless information and power transfer (SWIPT) system, where one transmitter serves multiple authorized receivers in the presence of several potential eavesdroppers (idle receivers). To prevent the information interception by eavesdroppers, artificial noise (AN) is embedded into the transmit signals. The non-linear energy harvesting (EH) model is adopted and a novel power-splitting (PS) EH receiver architecture is proposed. Stochastic uncertainty channel model (SUM) is considered for the idle receivers due to outdated channel feedback. A global energy efficiency (GEE) maximization problem is formulated by jointly optimizing the transmit beamforming vectors, the AN covariance matrix, and the PS ratios, under the minimal rate and secure transmission constraints of authorized receivers, the EH requirement constraints of idle receivers, and the total available power constraint at the transmitter. Since the problem is non-convex with no known solution, it is solved based on the following solution framework. Firstly, the PS ratios are optimized by using the bisection method and successive convex approximation (SCA), and then, the transmit beamforming vectors and the AN covariance matrix are jointly optimized by using a Dinkelbach's Algorithm based method, where SCA is applied to solve its inner subproblem. It is theoretically proved that by involving AN, the system GEE can be improved. Numerous results show that system GEE first increases and then keeps unchanged with the increment of the total available power, but it first keeps unchanged and then decreases with the increment of the minimal rate requirement. It is also observed that compared with traditional EH receiver architecture and linear EH model, our proposed PS EH receiver architecture is able to achieve higher GEE and avoid false output power at idle receivers.
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To prevent the information interception by eavesdroppers, artificial noise (AN) is embedded into the transmit signals. The non-linear energy harvesting (EH) model is adopted and a novel power-splitting (PS) EH receiver architecture is proposed. Stochastic uncertainty channel model (SUM) is considered for the idle receivers due to outdated channel feedback. A global energy efficiency (GEE) maximization problem is formulated by jointly optimizing the transmit beamforming vectors, the AN covariance matrix, and the PS ratios, under the minimal rate and secure transmission constraints of authorized receivers, the EH requirement constraints of idle receivers, and the total available power constraint at the transmitter. Since the problem is non-convex with no known solution, it is solved based on the following solution framework. Firstly, the PS ratios are optimized by using the bisection method and successive convex approximation (SCA), and then, the transmit beamforming vectors and the AN covariance matrix are jointly optimized by using a Dinkelbach's Algorithm based method, where SCA is applied to solve its inner subproblem. It is theoretically proved that by involving AN, the system GEE can be improved. Numerous results show that system GEE first increases and then keeps unchanged with the increment of the total available power, but it first keeps unchanged and then decreases with the increment of the minimal rate requirement. It is also observed that compared with traditional EH receiver architecture and linear EH model, our proposed PS EH receiver architecture is able to achieve higher GEE and avoid false output power at idle receivers.</description><identifier>ISSN: 0733-8716</identifier><identifier>EISSN: 1558-0008</identifier><identifier>DOI: 10.1109/JSAC.2018.2872369</identifier><identifier>CODEN: ISACEM</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Architecture ; Beamforming ; Communication system security ; Covariance matrix ; Eavesdropping ; Energy efficiency ; Energy harvesting ; Energy transmission ; fractional programming ; Integrated circuit modeling ; Interception ; Mathematical analysis ; Matrix algebra ; Matrix methods ; Minimization ; MISO ; MISO (control systems) ; MISO communication ; non-linear EH model ; Nonlinear systems ; Optimization ; Power efficiency ; Power transfer ; PS EH receiver architecture ; Receivers ; Splitting ; successive convex approximation ; SWIPT ; Wireless communication ; Wireless sensor networks</subject><ispartof>IEEE journal on selected areas in communications, 2019-01, Vol.37 (1), p.216-232</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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Firstly, the PS ratios are optimized by using the bisection method and successive convex approximation (SCA), and then, the transmit beamforming vectors and the AN covariance matrix are jointly optimized by using a Dinkelbach's Algorithm based method, where SCA is applied to solve its inner subproblem. It is theoretically proved that by involving AN, the system GEE can be improved. Numerous results show that system GEE first increases and then keeps unchanged with the increment of the total available power, but it first keeps unchanged and then decreases with the increment of the minimal rate requirement. 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To prevent the information interception by eavesdroppers, artificial noise (AN) is embedded into the transmit signals. The non-linear energy harvesting (EH) model is adopted and a novel power-splitting (PS) EH receiver architecture is proposed. Stochastic uncertainty channel model (SUM) is considered for the idle receivers due to outdated channel feedback. A global energy efficiency (GEE) maximization problem is formulated by jointly optimizing the transmit beamforming vectors, the AN covariance matrix, and the PS ratios, under the minimal rate and secure transmission constraints of authorized receivers, the EH requirement constraints of idle receivers, and the total available power constraint at the transmitter. Since the problem is non-convex with no known solution, it is solved based on the following solution framework. Firstly, the PS ratios are optimized by using the bisection method and successive convex approximation (SCA), and then, the transmit beamforming vectors and the AN covariance matrix are jointly optimized by using a Dinkelbach's Algorithm based method, where SCA is applied to solve its inner subproblem. It is theoretically proved that by involving AN, the system GEE can be improved. Numerous results show that system GEE first increases and then keeps unchanged with the increment of the total available power, but it first keeps unchanged and then decreases with the increment of the minimal rate requirement. It is also observed that compared with traditional EH receiver architecture and linear EH model, our proposed PS EH receiver architecture is able to achieve higher GEE and avoid false output power at idle receivers.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/JSAC.2018.2872369</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0002-0658-6079</orcidid><orcidid>https://orcid.org/0000-0001-5280-384X</orcidid><orcidid>https://orcid.org/0000-0002-3519-4488</orcidid><orcidid>https://orcid.org/0000-0001-9364-0207</orcidid><oa>free_for_read</oa></addata></record>
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subjects Architecture
Beamforming
Communication system security
Covariance matrix
Eavesdropping
Energy efficiency
Energy harvesting
Energy transmission
fractional programming
Integrated circuit modeling
Interception
Mathematical analysis
Matrix algebra
Matrix methods
Minimization
MISO
MISO (control systems)
MISO communication
non-linear EH model
Nonlinear systems
Optimization
Power efficiency
Power transfer
PS EH receiver architecture
Receivers
Splitting
successive convex approximation
SWIPT
Wireless communication
Wireless sensor networks
title Global Energy Efficiency in Secure MISO SWIPT Systems With Non-Linear Power-Splitting EH Model
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