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

Research Article

Joint Opportunistic Satellite Scheduling and Beamforming for Secure Transmission in Cognitive LEO Satellite Terrestrial Networks

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  • @INPROCEEDINGS{10.1007/978-3-030-99200-2_6,
        author={Xiaofen Jiao and Yichen Wang and Zhangnan Wang and Tao Wang},
        title={Joint Opportunistic Satellite Scheduling and Beamforming for Secure Transmission in Cognitive LEO Satellite Terrestrial Networks},
        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={Physical layer security Cognitive LEO satellite terrestrial network Secrecy energy efficiency Satellite scheduling scheme},
        doi={10.1007/978-3-030-99200-2_6}
    }
    
  • Xiaofen Jiao
    Yichen Wang
    Zhangnan Wang
    Tao Wang
    Year: 2022
    Joint Opportunistic Satellite Scheduling and Beamforming for Secure Transmission in Cognitive LEO Satellite Terrestrial Networks
    CHINACOM
    Springer
    DOI: 10.1007/978-3-030-99200-2_6
Xiaofen Jiao1, Yichen Wang1,*, Zhangnan Wang1, Tao Wang1
  • 1: School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an
*Contact email: wangyichen0819@mail.xjtu.edu.cn

Abstract

Security is a critical issue for cognitive LEO satellite terrestrial networks (CLSTNs) in the future 6G era. To guarantee the secure transmission of both the satellite and terristrial users under limited power budgets, we propose a joint opportunistic satellite scheduling and beamforming (BF) scheme for the CLSTN. Specifically, we formulate an optimization problem to maximize the secrecy energy efficiency (SEE) of the satellite user under the secrecy constraint of the base station (BS) user, the signal-to-interference plus noise ratio (SINR) requirements of the intended users and the limited power budgets of the transmitters. Since the formulated problem is complex and nonconvex, we first consider the achievable SEE of a given scheduled satellite and transform the original SEE maximization problem into a convex problem based on the Dinkelbach’s method and the difference of two-convex functions (D.C.) approximation method. Consequently, we propose a three-tier algorithm to jointly determine the satellite scheduling vector and the BF vectors of the satellite and BS. Simulation results verify the superiority of our proposed scheme over the existing schemes.

Keywords
Physical layer security Cognitive LEO satellite terrestrial network Secrecy energy efficiency Satellite scheduling scheme
Published
2022-04-05
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-99200-2_6
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