Aerial IRS Aided Anti-Jamming Scheme for ISAC

Jinlei Xu; Dongdong Li; Zhengyu Zhu; Zhutian Yang; Nan Zhao; Dusit Niyato

doi:10.1109/VTC2023-Fall60731.2023.10333422

Aerial IRS Aided Anti-Jamming Scheme for ISAC

Jinlei Xu
, Dongdong Li
, Zhengyu Zhu
, Zhutian Yang
, Nan Zhao^*
, Dusit Niyato

^*Corresponding author for this work

School of Electronics and Information Engineering

Dalian University of Technology
Harbin Institute of Technology
Zhengzhou University
Nanyang Technological University

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

8 Scopus citations

Abstract

In this paper, an anti-jamming design for integrated sensing and communication (ISAC) via aerial intelligent reflecting surface (AIRS) is proposed. We aim to maximize the achievable sum rate by jointly optimizing the active and passive beamformings, as well as the deployment of AIRS, while satisfying the echo signal-to-interference-plus-noise ratio requirement of target sensing. To address the non-convex problem, we decompose it into three sub-problems and solve them via the alternate optimization. First, the active beamforming is calculated via semi-definite relaxation. Then, the penalty-based method and the first-order Taylor expansion are leveraged to solve the passive beamforming. With the optimized active and passive beamformings, we resort to successive convex approximation to optimize the AIRS deployment. Numerical results validate the effectiveness of the proposed scheme.

Original language	English
Title of host publication	2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350329285
DOIs	https://doi.org/10.1109/VTC2023-Fall60731.2023.10333422
State	Published - 2023
Event	98th IEEE Vehicular Technology Conference, VTC 2023-Fall - Hong Kong, China Duration: 10 Oct 2023 → 13 Oct 2023

Publication series

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

Conference

Conference	98th IEEE Vehicular Technology Conference, VTC 2023-Fall
Country/Territory	China
City	Hong Kong
Period	10/10/23 → 13/10/23

Keywords

Integrated sensing and communication
aerial intelligent reflecting surface
anti-jamming
deployment optimization

Access to Document

10.1109/VTC2023-Fall60731.2023.10333422

Cite this

@inproceedings{5027ae9606644783941a93b0fa5159fc,

title = "Aerial IRS Aided Anti-Jamming Scheme for ISAC",

abstract = "In this paper, an anti-jamming design for integrated sensing and communication (ISAC) via aerial intelligent reflecting surface (AIRS) is proposed. We aim to maximize the achievable sum rate by jointly optimizing the active and passive beamformings, as well as the deployment of AIRS, while satisfying the echo signal-to-interference-plus-noise ratio requirement of target sensing. To address the non-convex problem, we decompose it into three sub-problems and solve them via the alternate optimization. First, the active beamforming is calculated via semi-definite relaxation. Then, the penalty-based method and the first-order Taylor expansion are leveraged to solve the passive beamforming. With the optimized active and passive beamformings, we resort to successive convex approximation to optimize the AIRS deployment. Numerical results validate the effectiveness of the proposed scheme.",

keywords = "Integrated sensing and communication, aerial intelligent reflecting surface, anti-jamming, deployment optimization",

author = "Jinlei Xu and Dongdong Li and Zhengyu Zhu and Zhutian Yang and Nan Zhao and Dusit Niyato",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 98th IEEE Vehicular Technology Conference, VTC 2023-Fall ; Conference date: 10-10-2023 Through 13-10-2023",

year = "2023",

doi = "10.1109/VTC2023-Fall60731.2023.10333422",

language = "英语",

series = "IEEE Vehicular Technology Conference",

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

booktitle = "2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings",

address = "美国",

}

Xu, J, Li, D, Zhu, Z, Yang, Z, Zhao, N & Niyato, D 2023, Aerial IRS Aided Anti-Jamming Scheme for ISAC. in 2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings. IEEE Vehicular Technology Conference, Institute of Electrical and Electronics Engineers Inc., 98th IEEE Vehicular Technology Conference, VTC 2023-Fall, Hong Kong, China, 10/10/23. https://doi.org/10.1109/VTC2023-Fall60731.2023.10333422

Aerial IRS Aided Anti-Jamming Scheme for ISAC. / Xu, Jinlei; Li, Dongdong; Zhu, Zhengyu et al.
2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (IEEE Vehicular Technology Conference).

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

TY - GEN

T1 - Aerial IRS Aided Anti-Jamming Scheme for ISAC

AU - Xu, Jinlei

AU - Li, Dongdong

AU - Zhu, Zhengyu

AU - Yang, Zhutian

AU - Zhao, Nan

AU - Niyato, Dusit

PY - 2023

Y1 - 2023

N2 - In this paper, an anti-jamming design for integrated sensing and communication (ISAC) via aerial intelligent reflecting surface (AIRS) is proposed. We aim to maximize the achievable sum rate by jointly optimizing the active and passive beamformings, as well as the deployment of AIRS, while satisfying the echo signal-to-interference-plus-noise ratio requirement of target sensing. To address the non-convex problem, we decompose it into three sub-problems and solve them via the alternate optimization. First, the active beamforming is calculated via semi-definite relaxation. Then, the penalty-based method and the first-order Taylor expansion are leveraged to solve the passive beamforming. With the optimized active and passive beamformings, we resort to successive convex approximation to optimize the AIRS deployment. Numerical results validate the effectiveness of the proposed scheme.

AB - In this paper, an anti-jamming design for integrated sensing and communication (ISAC) via aerial intelligent reflecting surface (AIRS) is proposed. We aim to maximize the achievable sum rate by jointly optimizing the active and passive beamformings, as well as the deployment of AIRS, while satisfying the echo signal-to-interference-plus-noise ratio requirement of target sensing. To address the non-convex problem, we decompose it into three sub-problems and solve them via the alternate optimization. First, the active beamforming is calculated via semi-definite relaxation. Then, the penalty-based method and the first-order Taylor expansion are leveraged to solve the passive beamforming. With the optimized active and passive beamformings, we resort to successive convex approximation to optimize the AIRS deployment. Numerical results validate the effectiveness of the proposed scheme.

KW - Integrated sensing and communication

KW - aerial intelligent reflecting surface

KW - anti-jamming

KW - deployment optimization

UR - https://www.scopus.com/pages/publications/85181169526

U2 - 10.1109/VTC2023-Fall60731.2023.10333422

DO - 10.1109/VTC2023-Fall60731.2023.10333422

M3 - 会议稿件

AN - SCOPUS:85181169526

T3 - IEEE Vehicular Technology Conference

BT - 2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 98th IEEE Vehicular Technology Conference, VTC 2023-Fall

Y2 - 10 October 2023 through 13 October 2023

ER -

Aerial IRS Aided Anti-Jamming Scheme for ISAC

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this