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Modeling and Performance Analysis of Multi-layer Satellite Networks Based on STK

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Abstract

With the difference of satellite altitude, there are always some inherent defects in the traditional single-layer satellite networks. In this paper, in order to improve the performance of the single-layer networks, a multi-layer satellite network model composed of LEO/MEO/GEO and inter satellite link is proposed. In this model, the LEO and MEO layers are used as the access layer, and the data transmission is carried out to the ground. As the core layer, the GEO layer is responsible for the management of the whole network and the link assignment. Then modeling the network based on the STK satellite simulation platform and carrying out the simulation analysis of ground coverage, the performance of the inter satellite link and the link transmission. Theoretical analysis and simulation results show that the design of multi-layer satellite network is reasonable and effective, and also can be used in the construction of the integrated satellite-terrestrial networks.

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Acknowledgments

This work is supported in part by National Natural Science Foundation of China (No. 61401118, No. 61371100 and No. 61671184), Natural Science Foundation of Shandong Province (No. ZR2014FP016), the Fundamental Research Funds for the Central Universities (No. HIT.NSRIF.2016100 and 201720) and the Scientific Research Foundation of Harbin Institute of Technology at Weihai (No. HIT(WH)201409 and No. HIT(WH)201410).

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Correspondence to Hongjuan Yang .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Li, B., Peng, X., Yang, H., Liu, G. (2018). Modeling and Performance Analysis of Multi-layer Satellite Networks Based on STK. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 226. Springer, Cham. https://doi.org/10.1007/978-3-319-73564-1_38

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  • DOI: https://doi.org/10.1007/978-3-319-73564-1_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73563-4

  • Online ISBN: 978-3-319-73564-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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