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An end-to-end software-defined network framework and optimal service development model for SAGN

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Abstract

One goal of the sixth generation (6 G) is to extend the communication abilities of a Gbps bitrate, low latency and high reliability to global areas. The Space-Air-Ground Network (SAGN) is a promising scheme. Deterministic services in SAGN are very important for network providers, but service conflicts and a lack of end-to-end feature abstractions restrict the development of more services and applications. Abstracting the network features to design service components and abilities is the key issue. Therefore, this paper proposes a new service development scheme for SAGNs, which provides global service components and abilities based on a microservice framework for different networks. We explore the unified feature description method based on the ground state, which decouples the network element function (NEF) from different end-to-end networks. A convex optimisation model based on reversible driving factors is designed for the service developments model, which can optimise the choreographies and combinations of the services in SAGN. A feature compression method based on equivalent mapping service description and orbital shrinking is proposed to improve the development efficiency of SAGN services. Simulations and tests are conducted to examine the performance enhancement of services, which improves the service generating speed by 14.5% and the service conflict rate by 23.4%.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (61801039), and China National Key Research and Development Plan (2020YFB1808005 and 2019YFB1803105), and the Civil Aerospace Technology Advance Research Project (D030301), and the Fundamental Research Funds for the Central Universities (2021RC06).

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Authors and Affiliations

  1. The School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China

    Wenliang Lin, Yilie He, Zhongliang Deng, Ke Wang & Bin Jin

  2. Science and Technology on Communication Networks Laboratory, 54Th Institute, CETC, Shijiazhuang, 050080, China

    Wenliang Lin & Xiaotian Zhou

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  1. Wenliang Lin
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  2. Yilie He
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  3. Zhongliang Deng
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  5. Bin Jin
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Correspondence to Wenliang Lin.

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Lin, W., He, Y., Deng, Z. et al. An end-to-end software-defined network framework and optimal service development model for SAGN. Telecommun Syst 80, 153–167 (2022). https://doi.org/10.1007/s11235-022-00892-4

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