Secret Key Generation for Intelligent Reflecting Surface Assisted Wireless Communication Networks

Zijie Ji; Phee Lep Yeoh; Deyou Zhang; Gaojie Chen; Yan Zhang; Zunwen He; Hao Yin; Yonghui Li

doi:10.1109/TVT.2020.3045728

Secret Key Generation for Intelligent Reflecting Surface Assisted Wireless Communication Networks

Zijie Ji, Phee Lep Yeoh, Deyou Zhang, Gaojie Chen, Yan Zhang^*, Zunwen He, Hao Yin, Yonghui Li

^*Corresponding author for this work

School of Information and Electronics

Research output: Contribution to journal › Article › peer-review

80 Citations (Scopus)

Abstract

We propose and analyze secret key generation using intelligent reflecting surface (IRS) assisted wireless communication networks. To this end, we first formulate the minimum achievable secret key capacity for an IRS acting as a passive beamformer in the presence of multiple eavesdroppers. Next, we develop an optimization framework for the IRS reflecting coefficients based on the secret key capacity lower bound. To derive a tractable and efficient solution, we design and analyze a semidefinite relaxation (SDR) and successive convex approximation (SCA) based algorithm for the proposed optimization. Simulation results show that employing our IRS-based algorithm can significantly improve the secret key generation capacity for a wide-range of wireless channel parameters.

Original language	English
Article number	9298937
Pages (from-to)	1030-1034
Number of pages	5
Journal	IEEE Transactions on Vehicular Technology
Volume	70
Issue number	1
DOIs	https://doi.org/10.1109/TVT.2020.3045728
Publication status	Published - Jan 2021

Keywords

Intelligent reflecting surface
physical layer security
secret key generation
semidefinite relaxation
successive convex approximation

Access to Document

10.1109/TVT.2020.3045728

Cite this

@article{190e91b32bc94437b55ba95d04948e18,

title = "Secret Key Generation for Intelligent Reflecting Surface Assisted Wireless Communication Networks",

abstract = "We propose and analyze secret key generation using intelligent reflecting surface (IRS) assisted wireless communication networks. To this end, we first formulate the minimum achievable secret key capacity for an IRS acting as a passive beamformer in the presence of multiple eavesdroppers. Next, we develop an optimization framework for the IRS reflecting coefficients based on the secret key capacity lower bound. To derive a tractable and efficient solution, we design and analyze a semidefinite relaxation (SDR) and successive convex approximation (SCA) based algorithm for the proposed optimization. Simulation results show that employing our IRS-based algorithm can significantly improve the secret key generation capacity for a wide-range of wireless channel parameters.",

keywords = "Intelligent reflecting surface, physical layer security, secret key generation, semidefinite relaxation, successive convex approximation",

author = "Zijie Ji and Yeoh, {Phee Lep} and Deyou Zhang and Gaojie Chen and Yan Zhang and Zunwen He and Hao Yin and Yonghui Li",

note = "Publisher Copyright: {\textcopyright} 1967-2012 IEEE.",

year = "2021",

month = jan,

doi = "10.1109/TVT.2020.3045728",

language = "English",

volume = "70",

pages = "1030--1034",

journal = "IEEE Transactions on Vehicular Technology",

issn = "0018-9545",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "1",

}

TY - JOUR

T1 - Secret Key Generation for Intelligent Reflecting Surface Assisted Wireless Communication Networks

AU - Ji, Zijie

AU - Yeoh, Phee Lep

AU - Zhang, Deyou

AU - Chen, Gaojie

AU - Zhang, Yan

AU - He, Zunwen

AU - Yin, Hao

AU - Li, Yonghui

PY - 2021/1

Y1 - 2021/1

N2 - We propose and analyze secret key generation using intelligent reflecting surface (IRS) assisted wireless communication networks. To this end, we first formulate the minimum achievable secret key capacity for an IRS acting as a passive beamformer in the presence of multiple eavesdroppers. Next, we develop an optimization framework for the IRS reflecting coefficients based on the secret key capacity lower bound. To derive a tractable and efficient solution, we design and analyze a semidefinite relaxation (SDR) and successive convex approximation (SCA) based algorithm for the proposed optimization. Simulation results show that employing our IRS-based algorithm can significantly improve the secret key generation capacity for a wide-range of wireless channel parameters.

AB - We propose and analyze secret key generation using intelligent reflecting surface (IRS) assisted wireless communication networks. To this end, we first formulate the minimum achievable secret key capacity for an IRS acting as a passive beamformer in the presence of multiple eavesdroppers. Next, we develop an optimization framework for the IRS reflecting coefficients based on the secret key capacity lower bound. To derive a tractable and efficient solution, we design and analyze a semidefinite relaxation (SDR) and successive convex approximation (SCA) based algorithm for the proposed optimization. Simulation results show that employing our IRS-based algorithm can significantly improve the secret key generation capacity for a wide-range of wireless channel parameters.

KW - Intelligent reflecting surface

KW - physical layer security

KW - secret key generation

KW - semidefinite relaxation

KW - successive convex approximation

UR - http://www.scopus.com/inward/record.url?scp=85098180685&partnerID=8YFLogxK

U2 - 10.1109/TVT.2020.3045728

DO - 10.1109/TVT.2020.3045728

M3 - Article

AN - SCOPUS:85098180685

SN - 0018-9545

VL - 70

SP - 1030

EP - 1034

JO - IEEE Transactions on Vehicular Technology

JF - IEEE Transactions on Vehicular Technology

IS - 1

M1 - 9298937

ER -

Secret Key Generation for Intelligent Reflecting Surface Assisted Wireless Communication Networks

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this