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Communications and Networking. 16th EAI International Conference, ChinaCom 2021, Virtual Event, November 21-22, 2021, Proceedings

Research Article

Aerial Intelligent Reflecting Surface for Secure MISO Communication Systems

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  • @INPROCEEDINGS{10.1007/978-3-030-99200-2_41,
        author={Zhen Liu and Zhengyu Zhu and Wanming Hao and Jiankang Zhang},
        title={Aerial Intelligent Reflecting Surface for Secure MISO Communication Systems},
        proceedings={Communications and Networking. 16th EAI International Conference, ChinaCom 2021, Virtual Event, November 21-22, 2021, Proceedings},
        proceedings_a={CHINACOM},
        year={2022},
        month={4},
        keywords={Aerial intelligent reflecting surface Secure communication MISO system Alternating optimization},
        doi={10.1007/978-3-030-99200-2_41}
    }
    
  • Zhen Liu
    Zhengyu Zhu
    Wanming Hao
    Jiankang Zhang
    Year: 2022
    Aerial Intelligent Reflecting Surface for Secure MISO Communication Systems
    CHINACOM
    Springer
    DOI: 10.1007/978-3-030-99200-2_41
Zhen Liu1, Zhengyu Zhu1,*, Wanming Hao1, Jiankang Zhang2
  • 1: Henan Institute of Advanced Technology
  • 2: School of Information Engineering
*Contact email: zhuzhengyu6@gmail.com

Abstract

In this paper, an aerial intelligent reflecting surface (AIRS) is introduced to assist the ground secure communication system, where intelligent reflecting surface shifts the communication channel to target position and AIRS can be flexibly deployed in the air. We aim to maximize the secure communication rate of the system, and the formulated problem is difficult to solve. To this end, the problem is decomposed into three sub-problems, and an efficient iterative algorithm is proposed by jointly optimizing the transmission beamforming, the reflection phase shift and trajectory of the AIRS with the alternating optimization technique. The semi-definite relaxation is used to optimize the AIRS’s phase shift, and the successive convex approximation method is applied to solve the non-convex trajectory optimization sub-problem. Numerical results show that the secrecy rate of the proposed algorithm precedes the benchmark schemes, and the AIRS has found the same optimal position with respect to different origins.

Keywords
Aerial intelligent reflecting surface Secure communication MISO system Alternating optimization
Published
2022-04-05
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-99200-2_41
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