AN-aided secure transmission in multi-user MIMO SWIPT systems

Zhengyu Zhu, Ning Wang, Zheng Chu, Zhongyong Wang, Inkyu Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, an energy harvesting scheme for a multi-user multiple-input-multiple-output (MIMO) secrecy channel with artificial noise (AN) transmission is investigated. Joint optimization of the transmit beamforming matrix, the AN covariance matrix, and the power splitting ratio is conducted to minimize the transmit power under the target secrecy rate, the total transmit power, and the harvested energy constraints. The original problem is shown to be non-convex, which is tackled by a two-layer decomposition approach. The inner layer problem is solved through semi-definite relaxation, and the outer problem is shown to be a single-variable optimization that can be solved by one-dimensional (1-D) line search. To reduce computational complexity, a sequential parametric convex approximation (SPCA) method is proposed to find a near-optimal solution. Furthermore, tightness of the relaxation for the 1-D search method is validated by showing that the optimal solution of the relaxed problem is rank-one. Simulation results demonstrate that the proposed SPCA method achieves the same performance as the scheme based on 1-D search method but with much lower complexity.

Original languageEnglish
Title of host publication2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
Volume2018-April
ISBN (Electronic)9781538617342
DOIs
Publication statusPublished - 2018 Jun 8
Event2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 - Barcelona, Spain
Duration: 2018 Apr 152018 Apr 18

Other

Other2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
CountrySpain
CityBarcelona
Period18/4/1518/4/18

Fingerprint

Energy harvesting
Beamforming
Covariance matrix
Computational complexity
Decomposition

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Zhu, Z., Wang, N., Chu, Z., Wang, Z., & Lee, I. (2018). AN-aided secure transmission in multi-user MIMO SWIPT systems. In 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 (Vol. 2018-April, pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNC.2018.8377223

AN-aided secure transmission in multi-user MIMO SWIPT systems. / Zhu, Zhengyu; Wang, Ning; Chu, Zheng; Wang, Zhongyong; Lee, Inkyu.

2018 IEEE Wireless Communications and Networking Conference, WCNC 2018. Vol. 2018-April Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhu, Z, Wang, N, Chu, Z, Wang, Z & Lee, I 2018, AN-aided secure transmission in multi-user MIMO SWIPT systems. in 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018. vol. 2018-April, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018, Barcelona, Spain, 18/4/15. https://doi.org/10.1109/WCNC.2018.8377223
Zhu Z, Wang N, Chu Z, Wang Z, Lee I. AN-aided secure transmission in multi-user MIMO SWIPT systems. In 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018. Vol. 2018-April. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-6 https://doi.org/10.1109/WCNC.2018.8377223
Zhu, Zhengyu ; Wang, Ning ; Chu, Zheng ; Wang, Zhongyong ; Lee, Inkyu. / AN-aided secure transmission in multi-user MIMO SWIPT systems. 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018. Vol. 2018-April Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-6
@inproceedings{0388b16ff71d42ee840c3c3c6205649b,
title = "AN-aided secure transmission in multi-user MIMO SWIPT systems",
abstract = "In this paper, an energy harvesting scheme for a multi-user multiple-input-multiple-output (MIMO) secrecy channel with artificial noise (AN) transmission is investigated. Joint optimization of the transmit beamforming matrix, the AN covariance matrix, and the power splitting ratio is conducted to minimize the transmit power under the target secrecy rate, the total transmit power, and the harvested energy constraints. The original problem is shown to be non-convex, which is tackled by a two-layer decomposition approach. The inner layer problem is solved through semi-definite relaxation, and the outer problem is shown to be a single-variable optimization that can be solved by one-dimensional (1-D) line search. To reduce computational complexity, a sequential parametric convex approximation (SPCA) method is proposed to find a near-optimal solution. Furthermore, tightness of the relaxation for the 1-D search method is validated by showing that the optimal solution of the relaxed problem is rank-one. Simulation results demonstrate that the proposed SPCA method achieves the same performance as the scheme based on 1-D search method but with much lower complexity.",
author = "Zhengyu Zhu and Ning Wang and Zheng Chu and Zhongyong Wang and Inkyu Lee",
year = "2018",
month = "6",
day = "8",
doi = "10.1109/WCNC.2018.8377223",
language = "English",
volume = "2018-April",
pages = "1--6",
booktitle = "2018 IEEE Wireless Communications and Networking Conference, WCNC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - AN-aided secure transmission in multi-user MIMO SWIPT systems

AU - Zhu, Zhengyu

AU - Wang, Ning

AU - Chu, Zheng

AU - Wang, Zhongyong

AU - Lee, Inkyu

PY - 2018/6/8

Y1 - 2018/6/8

N2 - In this paper, an energy harvesting scheme for a multi-user multiple-input-multiple-output (MIMO) secrecy channel with artificial noise (AN) transmission is investigated. Joint optimization of the transmit beamforming matrix, the AN covariance matrix, and the power splitting ratio is conducted to minimize the transmit power under the target secrecy rate, the total transmit power, and the harvested energy constraints. The original problem is shown to be non-convex, which is tackled by a two-layer decomposition approach. The inner layer problem is solved through semi-definite relaxation, and the outer problem is shown to be a single-variable optimization that can be solved by one-dimensional (1-D) line search. To reduce computational complexity, a sequential parametric convex approximation (SPCA) method is proposed to find a near-optimal solution. Furthermore, tightness of the relaxation for the 1-D search method is validated by showing that the optimal solution of the relaxed problem is rank-one. Simulation results demonstrate that the proposed SPCA method achieves the same performance as the scheme based on 1-D search method but with much lower complexity.

AB - In this paper, an energy harvesting scheme for a multi-user multiple-input-multiple-output (MIMO) secrecy channel with artificial noise (AN) transmission is investigated. Joint optimization of the transmit beamforming matrix, the AN covariance matrix, and the power splitting ratio is conducted to minimize the transmit power under the target secrecy rate, the total transmit power, and the harvested energy constraints. The original problem is shown to be non-convex, which is tackled by a two-layer decomposition approach. The inner layer problem is solved through semi-definite relaxation, and the outer problem is shown to be a single-variable optimization that can be solved by one-dimensional (1-D) line search. To reduce computational complexity, a sequential parametric convex approximation (SPCA) method is proposed to find a near-optimal solution. Furthermore, tightness of the relaxation for the 1-D search method is validated by showing that the optimal solution of the relaxed problem is rank-one. Simulation results demonstrate that the proposed SPCA method achieves the same performance as the scheme based on 1-D search method but with much lower complexity.

UR - http://www.scopus.com/inward/record.url?scp=85049171602&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85049171602&partnerID=8YFLogxK

U2 - 10.1109/WCNC.2018.8377223

DO - 10.1109/WCNC.2018.8377223

M3 - Conference contribution

AN - SCOPUS:85049171602

VL - 2018-April

SP - 1

EP - 6

BT - 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

ER -