Aerial IRS Aided Anti-Jamming Scheme for ISAC

被引：3

作者：

Xu, Jinlei ^{[1
]}

Li, Dongdong ^{[2
]}

Zhu, Zhengyu ^{[3
]}

Yang, Zhutian ^{[2
]}

Zhao, Nan ^{[1
]}

Niyato, Dusit ^{[4
]}

机构：

[1] Dalian Univ Technol, Sch Informat & Commun Engn, Dalian, Peoples R China

[2] Harbin Inst Technol, Informat & Commun Engn, Harbin, Peoples R China

[3] Zhengzhou Univ, Sch Elect & Informat Engn, Zhengzhou, Peoples R China

[4] Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore, Singapore

来源：

2023 IEEE 98TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-FALL | 2023年

基金：

国家重点研发计划; 中国国家自然科学基金;

关键词：

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

D O I：

10.1109/VTC2023-Fall60731.2023.10333422

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：5

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