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Aerial Intelligent Reflecting Surface for Secure MISO Communication Systems

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Communications and Networking (ChinaCom 2021)

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.

This work was supported in part by the National Natural Science Foundation of China under Grant 61801434, 61571401, 61801435, and 61771431, in part by the Project funded by China Postdoctoral Science Foundation under Grant 2020M682345, in part by the Henan Postdoctoral Foundation under Grant 202001015, in part by the Innovative Talent of Colleges and University of Henan Province under Grant 18HASTIT021, in part by the Science and Technology Innovation Project of Zhengzhou under Grant 2019CXZX0037.

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Correspondence to Zhengyu Zhu .

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Liu, Z., Zhu, Z., Hao, W., Zhang, J. (2022). Aerial Intelligent Reflecting Surface for Secure MISO Communication Systems. In: Gao, H., Wun, J., Yin, J., Shen, F., Shen, Y., Yu, J. (eds) Communications and Networking. ChinaCom 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 433. Springer, Cham. https://doi.org/10.1007/978-3-030-99200-2_41

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  • DOI: https://doi.org/10.1007/978-3-030-99200-2_41

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  • Online ISBN: 978-3-030-99200-2

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