Computing satellite networks—the novel development of computing-empowered space-air-ground integrated networks

Pingke DENG; Tongxu ZHANG; Nanxiang SHI; Tong ZHANG; Tianzhu SHAO; Shaowen ZHENG

doi:10.11959/j.issn.1000-0801.2022138

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Computing satellite networks—the novel development of computing-empowered space-air-ground integrated networks

Topic: New Network Technology | 更新时间：2024-06-05

- Computing satellite networks—the novel development of computing-empowered space-air-ground integrated networks
- Telecommunications Science Vol. 38, Issue 6, Pages: 71-81(2022)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2022138
  CLC： TP393
- Published Online：2022-06，
  
  Published：20 June 2022
- 稿件说明：
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Pingke DENG, Tongxu ZHANG, Nanxiang SHI, et al. Computing satellite networks—the novel development of computing-empowered space-air-ground integrated networks[J]. Telecommunications science, 2022, 38(6): 71-81.
DOI：

Pingke DENG, Tongxu ZHANG, Nanxiang SHI, et al. Computing satellite networks—the novel development of computing-empowered space-air-ground integrated networks[J]. Telecommunications science, 2022, 38(6): 71-81. DOI： 10.11959/j.issn.1000-0801.2022138.

摘要

面对不断增长的算力和网络需求，6G空天地一体化网络通过网络集群优势突破单点算力和传统网络传输的极限，形成以算为中心，以网为根基，云、边、端、网、数、算深度融合的新型空天地一体化算力融合网络。首先介绍了算力网络和空天地一体化网络的发展现状，并结合6G空天地一体化算力融合网络的需求提出了星算网络的概念。其次，对星算网络的分层系统架构中的空基网络、天基网络和地面网络进行描述，并提出由算网资源层、算网抽象层和算网编排层组成的逻辑架构。之后，针对未来星算网络面临的算存问题、可信传输问题、天基算力编址寻址和高移动性算力路由问题提出对应关键使能技术。最后，对星算网络的典型应用场景进行了讨论和展望。

Abstract

Facing the increasing demands for computing ability and network access

the space-air-ground integrated networks in 6G systems is expected to surmount the limits on a single point of computing ability and traditional network transmission through the advantages of network cluster

where the novel space-air-ground integrated networks that deeply integrate cloud

edge

terminal

network

data

and computation is subsequently formed by taking computing ability as the core and network infrastructure as the foundation.Initially

the current situation and development in existing computing force networks and space-air-ground integrated networks (SAGIN) was introduced.Along with the demands for 6G computing-empowered space-air-ground integrated networks

the concept of satellite computing networks was defined and the co-existed system of computing capability and communication networks was further discussed.Then

the space networks

air networks

and ground networks of the layered satellite computing network architecture were discussed.Based on that

its logical network architecture that includes computing resource layer

computing abstract layer

and computing orchestration layer was further introduced.After that

the key technology enablers with respct to computing and storage issue

trusted transmission issue

satellite computing force addressing issue

and high-mobility computing force routing issue was discussed.Finally

the typical applicaiton scenarios of satellite computing networks and envision its future was presented.

关键词

Keywords

references

中国移动通信集团有限公司 . 算力感知网络技术白皮书 [R ] . 2019 .

CMCC . Computing-aware networking technology white pa-per [R ] . 2019 .

WANG X Y , SUN T , DUAN X D , et al . Holistic service-based architecture for space-air-ground integrated network for 5G-Advanced and beyond [J ] . China Communications , 2022 , 19 ( 1 ): 14 - 28 .

中国通信学会 . 通感算一体化网络前沿报告 [R ] . 2021 .

CIC . The integration of communication,sensing,and compu-ting networks research fronts [R ] . 2021 .

GOTO D , SHIBAYAMA H , YAMASHITA F , et al . LEO-MIMO satellite systems for high capacity transmission [C ] // Proceedings of 2018 IEEE Global Communications Conference . Piscataway:IEEE Press , 2018 : 1 - 6 .

LIU J J , SHI Y P , ZHAO L , et al . Joint placement of controllers and gateways in SDN-enabled 5G-satellite integrated network [J ] . IEEE Journal on Selected Areas in Communications , 2018 , 36 ( 2 ): 221 - 232 .

DU J , JIANG C X , ZHANG H J , et al . Auction design and analysis for SDN-based traffic offloading in hybrid satellite-terrestrial networks [J ] . IEEE Journal on Selected Areas in Communications , 2018 , 36 ( 10 ): 2202 - 2217 .

刘治国 , 姚巧雨 , 汪林 , 等 . 基于SDN与NDN的卫星网络多约束路由算法 [J ] . 计算机应用研究 , 2022 , 39 ( 8 ).

LIU Z G , YAO Q Y , WANG L , et al . Satellite network mul-ti-constraint routing algorithm based on SDN and NDN [J ] . Ap-plication Research of Computers , 2022 , 39 ( 8 ).

LI J , XUE K P , LIU J Q , et al . An ICN/SDN-based network architecture and efficient content retrieval for future satellite-terrestrial integrated networks [J ] . IEEE Network , 2020 , 34 ( 1 ): 188 - 195 .

周悦芝 , 张迪 . 近端云计算:后云计算时代的机遇与挑战 [J ] . 计算机学报 , 2019 , 42 ( 4 ): 677 - 700 .

ZHOU Y Z , ZHANG D . Near-end cloud computing:opportuni-ties and challenges in the post-cloud computing era [J ] . Chinese Journal of Computers , 2019 , 42 ( 4 ): 677 - 700 .

吴晓文 , 焦侦丰 , 凌翔 . 6G中的卫星通信高效天基计算技术 [J ] . 移动通信 , 2021 , 45 ( 4 ): 50 - 53 , 78 .

WU X W , JIAO Z F , LING X . High-efficiency space-based computing for satellite communications in 6G [J ] . Mobile Communications , 2021 , 45 ( 4 ): 50 - 53 , 78 .

XIE R C , TANG Q Q , WANG Q N , et al . Satellite-terrestrial integrated edge computing networks:architecture,challenges,and open issues [J ] . IEEE Network , 2020 , 34 ( 3 ): 224 - 231 .

ZHANG Z J , ZHANG W Y , TSENG F H . Satellite mobile edge computing:improving QoS of high-speed satellite-terrestrial networks using edge computing techniques [J ] . IEEE Network , 2019 , 33 ( 1 ): 70 - 76 .

WANG Y X , YANG J , GUO X Y , et al . A game-theoretic approach to computation offloading in satellite edge computing [J ] . IEEE Access , 2020 ( 8 ): 12510 - 12520 .

TANG Q Q , FEI Z S , LI B , et al . Computation offloading in LEO satellite networks with hybrid cloud and edge computing [J ] . IEEE Internet of Things Journal , 2021 , 8 ( 11 ): 9164 - 9176 .

WEI J Y , HAN J R , CAO S Z . Satellite IoT edge intelligent computing:a research on architecture [J ] . Electronics , 2019 , 8 ( 11 ): 1247 .

FOURATI F , ALOUINI M S . Artificial intelligence for satellite communication:a review [J ] . Intelligent and Converged Networks , 2021 , 2 ( 3 ): 213 - 243 .

吴晓文 , 焦侦丰 , 凌翔 , 等 . 面向 6G 的卫星通信网络架构展望 [J ] . 电信科学 , 2021 , 37 ( 4 ): 1 - 14 .

WU X W , JIAO Z F , LING X , et al . Outlook on satellite com-munications network architecture for 6G [J ] . Telecommunica-tions Science , 2021 , 37 ( 4 ): 1 - 14 .

中国移动通信集团有限公司 . 算力网络白皮书 [R ] . 2021 .

CMCC . Computing force network whitepaper [R ] . 2021 .

WANG S G , DING C T , ZHANG N , et al . A cloud-guided feature extraction approach for image retrieval in mobile edge computing [J ] . IEEE Transactions on Mobile Computing , 2021 , 20 ( 2 ): 292 - 305 .

SUN W , WANG L , WANG P , et al . Collaborative blockchain for space-air-ground integrated networks [J ] . IEEE Wireless Communications , 2020 , 27 ( 6 ): 82 - 89 .

LI Y J , LI H W , LIU L X , et al . Fractal rosette:a stable space-ground network structure in mega-constellation [J ] . arXiv-2105.05560 . 2021 .

KATO N , FADLULLAH Z M , MAO B M , et al . The deep learning vision for heterogeneous network traffic control:proposal,challenges,and future perspective [J ] . IEEE Wireless Communications , 2016 , 24 ( 3 ): 146 - 153 .

MA X L , YU H Y , WANG Y P , et al . Large-scale transportation network congestion evolution prediction using deep learning theory [J ] . PLoS One , 2015 , 10 ( 3 ): e0119044 .

LIU Y , WU L Z . Geological disaster recognition on optical remote sensing images using deep learning [J ] . Procedia Computer Science , 2016 ( 91 ): 566 - 575 .

KAUTZ T , GROH B H , HANNINK J , et al . Activity recognition in beach volleyball using a deep convolutional neural network [J ] . Data Mining and Knowledge Discovery , 2017 , 31 ( 6 ): 1678 - 1705 .

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