Security Aware Joint Optimization over Aerial-IRS Assisted Wireless Communications

Ya Gao; Yang Zhang; He Geng; Xingwang Li; Daniel Benevides Da Costa

doi:10.1109/VTC2023-Spring57618.2023.10201103

Security Aware Joint Optimization over Aerial-IRS Assisted Wireless Communications

Ya Gao^*, Yang Zhang, He Geng, Xingwang Li, Daniel Benevides Da Costa

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, we consider an Aerial Intelligent Reconfigurable Surface (AIRS) assisted wireless relay network, where IRS is implemented on the aerial platform, and the artificial noise is added to interrupt the eavesdropping. Based on the proposed system setup, it is formulated the secrecy rate maximization problem subject to the total transmit power and reflecting phase shift constraints. To solve this problem, we divide it into three sub-problems, i.e., transmit power allocation, AIRS trajectory optimization, and reflecting phase shift optimization. Alternately optimizing these three sub-problems, security aware joint optimal resource allocation schemes are proposed. Numerical simulations show that the joint optimal power allocation, AIRS trajectory, and reflecting phase shift schemes can effectively guarantee security performance for AIRS assisted wireless relay networks.

Original language	English
Title of host publication	2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350311143
DOIs	https://doi.org/10.1109/VTC2023-Spring57618.2023.10201103
State	Published - 2023
Externally published	Yes
Event	97th IEEE Vehicular Technology Conference, VTC 2023-Spring - Florence, Italy Duration: 20 Jun 2023 → 23 Jun 2023

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2023-June
ISSN (Print)	1550-2252

Conference

Conference	97th IEEE Vehicular Technology Conference, VTC 2023-Spring
Country/Territory	Italy
City	Florence
Period	20/06/23 → 23/06/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

AIRS
artificial noise
secrecy rate
trajectory optimization

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Access to Document

10.1109/VTC2023-Spring57618.2023.10201103

Cite this

Gao, Y., Zhang, Y., Geng, H., Li, X., & Da Costa, D. B. (2023). Security Aware Joint Optimization over Aerial-IRS Assisted Wireless Communications. In 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings (IEEE Vehicular Technology Conference; Vol. 2023-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTC2023-Spring57618.2023.10201103

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title = "Security Aware Joint Optimization over Aerial-IRS Assisted Wireless Communications",

abstract = "In this paper, we consider an Aerial Intelligent Reconfigurable Surface (AIRS) assisted wireless relay network, where IRS is implemented on the aerial platform, and the artificial noise is added to interrupt the eavesdropping. Based on the proposed system setup, it is formulated the secrecy rate maximization problem subject to the total transmit power and reflecting phase shift constraints. To solve this problem, we divide it into three sub-problems, i.e., transmit power allocation, AIRS trajectory optimization, and reflecting phase shift optimization. Alternately optimizing these three sub-problems, security aware joint optimal resource allocation schemes are proposed. Numerical simulations show that the joint optimal power allocation, AIRS trajectory, and reflecting phase shift schemes can effectively guarantee security performance for AIRS assisted wireless relay networks.",

keywords = "AIRS, artificial noise, secrecy rate, trajectory optimization",

author = "Ya Gao and Yang Zhang and He Geng and Xingwang Li and {Da Costa}, {Daniel Benevides}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 97th IEEE Vehicular Technology Conference, VTC 2023-Spring ; Conference date: 20-06-2023 Through 23-06-2023",

year = "2023",

doi = "10.1109/VTC2023-Spring57618.2023.10201103",

language = "English",

series = "IEEE Vehicular Technology Conference",

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booktitle = "2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings",

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Gao, Y, Zhang, Y, Geng, H, Li, X & Da Costa, DB 2023, Security Aware Joint Optimization over Aerial-IRS Assisted Wireless Communications. in 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings. IEEE Vehicular Technology Conference, vol. 2023-June, Institute of Electrical and Electronics Engineers Inc., 97th IEEE Vehicular Technology Conference, VTC 2023-Spring, Florence, Italy, 20/06/23. https://doi.org/10.1109/VTC2023-Spring57618.2023.10201103

Security Aware Joint Optimization over Aerial-IRS Assisted Wireless Communications. / Gao, Ya; Zhang, Yang; Geng, He et al.
2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (IEEE Vehicular Technology Conference; Vol. 2023-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Security Aware Joint Optimization over Aerial-IRS Assisted Wireless Communications

AU - Gao, Ya

AU - Zhang, Yang

AU - Geng, He

AU - Li, Xingwang

AU - Da Costa, Daniel Benevides

PY - 2023

Y1 - 2023

N2 - In this paper, we consider an Aerial Intelligent Reconfigurable Surface (AIRS) assisted wireless relay network, where IRS is implemented on the aerial platform, and the artificial noise is added to interrupt the eavesdropping. Based on the proposed system setup, it is formulated the secrecy rate maximization problem subject to the total transmit power and reflecting phase shift constraints. To solve this problem, we divide it into three sub-problems, i.e., transmit power allocation, AIRS trajectory optimization, and reflecting phase shift optimization. Alternately optimizing these three sub-problems, security aware joint optimal resource allocation schemes are proposed. Numerical simulations show that the joint optimal power allocation, AIRS trajectory, and reflecting phase shift schemes can effectively guarantee security performance for AIRS assisted wireless relay networks.

AB - In this paper, we consider an Aerial Intelligent Reconfigurable Surface (AIRS) assisted wireless relay network, where IRS is implemented on the aerial platform, and the artificial noise is added to interrupt the eavesdropping. Based on the proposed system setup, it is formulated the secrecy rate maximization problem subject to the total transmit power and reflecting phase shift constraints. To solve this problem, we divide it into three sub-problems, i.e., transmit power allocation, AIRS trajectory optimization, and reflecting phase shift optimization. Alternately optimizing these three sub-problems, security aware joint optimal resource allocation schemes are proposed. Numerical simulations show that the joint optimal power allocation, AIRS trajectory, and reflecting phase shift schemes can effectively guarantee security performance for AIRS assisted wireless relay networks.

KW - AIRS

KW - artificial noise

KW - secrecy rate

KW - trajectory optimization

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M3 - Conference contribution

AN - SCOPUS:85169794441

T3 - IEEE Vehicular Technology Conference

BT - 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings

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Security Aware Joint Optimization over Aerial-IRS Assisted Wireless Communications

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this