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Co-channel Interference Between Satellite and 5G System in C Band

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Machine Learning and Intelligent Communications (MLICOM 2020)

Abstract

The 2019 World Radio Conference proposed to add 11 candidate frequency bands for the 5G system. Some of the C-bands are frequencies currently operated by the fixed-satellite service. When the 5G system and the fixed-satellite service share the same frequency band, the problem of co-frequency interference between systems is bound to occur. This paper studies the co-channel interference analysis from the 5G system to the FSS downlink in the 3400–3600 MHz frequency band. According to the specific interference scenario, antenna model and path loss model, Monte Carlo algorithm is used to evaluate the distribution of 5G interfering base stations, and the interference simulation analysis is carried out through link calculation, power control and system scheduling. The research results show that to meet the protection standards of the FSS system, the distance between the base station and the earth station needs to be at least 15 to 20 km. Moreover, the interference factors of the 5G system to the FSS mainly include angle between the main axis of the FSS earth station antenna and the direction of the base station interference signal, the number of 5G base stations, and the transmission power of 5G base stations.

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Authors and Affiliations

  1. Communication Research Center, Harbin Institute of Technology, 1, 50001, Harbin, China

    Xinxin Miao & Mingchuan Yang

Authors
  1. Xinxin Miao
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  2. Mingchuan Yang
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Correspondence to Xinxin Miao .

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Editors and Affiliations

  1. Shenzhen Institute of Information Technology, Shenzhen, China

    Mingxiang Guan

  2. Sci & Tech, DianHang Bldg, Rm 321, Dalian Maritime Univ, Sch of Info, Dalian, Liaoning, China

    Zhenyu Na

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Miao, X., Yang, M. (2021). Co-channel Interference Between Satellite and 5G System in C Band. In: Guan, M., Na, Z. (eds) Machine Learning and Intelligent Communications. MLICOM 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-030-66785-6_44

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  • DOI: https://doi.org/10.1007/978-3-030-66785-6_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66784-9

  • Online ISBN: 978-3-030-66785-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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