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International Conference on Machine Learning and Intelligent Communications

MLICOM 2017: Machine Learning and Intelligent Communications pp 339–346Cite as

A Full-Protocol-Stack Testbed for Space Network Protocol Emulation

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Abstract

With the rapid development of space networks, new space communications protocols are emerging, for which emulation is an essential step during design and test. In this paper, we propose a lab-based testbed, in which software and hardware tools are utilized together to emulate full network protocol stack. A software protocol gateway is implemented to preform protocol conversion like IP over CCSDS in Data Link Layer. A specified hardware, Cortex CRT-Q is adopted for accurate emulation of space links, which connects upper layers with Physical Layer. Thus, our testbed benefit from both the fidelity provided by hardware and flexibility brought by software.

This work is supported by the National Natural Science Foundation of China (No. 61401194), the Fundamental Research Funds for the Central Universities (021014380064) and the Priority Academic Program Development of Jiangsu Higher Education Institutions.

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Author information

Authors and Affiliations

  1. School of Electronic Science and Engineering, Nanjing University, 22 Hankou Rd., Nanjing, 210093, Jiangsu, People’s Republic of China

    Xiaoqin Ni, Kanglian Zhao & Wenfeng Li

Authors
  1. Xiaoqin Ni
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  2. Kanglian Zhao
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  3. Wenfeng Li
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Corresponding authors

Correspondence to Kanglian Zhao or Wenfeng Li .

Editor information

Editors and Affiliations

  1. Harbin Institute of Technology, Harbin, Heilongjiang, China

    Xuemai Gu

  2. Harbin Institute of Technology, Weihai, Heilongjiang, China

    Gongliang Liu

  3. Shandong University, Weihai, Heilongjiang, China

    Bo Li

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

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Ni, X., Zhao, K., Li, W. (2018). A Full-Protocol-Stack Testbed for Space Network Protocol Emulation. 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_33

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  • DOI: https://doi.org/10.1007/978-3-319-73564-1_33

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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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