Research on service-driven network technologies for space-air-ground-sea integration

FAN Kexin; AN Lirong; ZHANG Qinyu

doi:10.11959/j.issn.1000-0801.2024172

您当前的位置：

首页 >

文章列表页 >

Research on service-driven network technologies for space-air-ground-sea integration

更新时间：2024-08-05

- Research on service-driven network technologies for space-air-ground-sea integration
- Telecommunications Science Vol. 40, Issue 6, Pages: 25-37(2024)
- 作者机构：
  
  哈尔滨工业大学（深圳），广东深圳 518055
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61831008;62027802)
- DOI：10.11959/j.issn.1000-0801.2024172
  CLC： TP393
- Received：30 April 2024，
  
  Revised：15 June 2024，
  
  Published：20 June 2024
- 稿件说明：
移动端阅览
范珂欣,安丽荣,张钦宇.业务驱动的空天地海一体化网络技术研究[J].电信科学,2024,40(06):25-37.

FAN Kexin,AN Lirong,ZHANG Qinyu.Research on service-driven network technologies for space-air-ground-sea integration[J].Telecommunications Science,2024,40(06):25-37.
范珂欣,安丽荣,张钦宇.业务驱动的空天地海一体化网络技术研究[J].电信科学,2024,40(06):25-37. DOI： 10.11959/j.issn.1000-0801.2024172.

FAN Kexin,AN Lirong,ZHANG Qinyu.Research on service-driven network technologies for space-air-ground-sea integration[J].Telecommunications Science,2024,40(06):25-37. DOI： 10.11959/j.issn.1000-0801.2024172.

摘要

面向不断涌现的新型应用和业务需求，空天地海一体化网络具有全域覆盖、高效灵活、弹性可靠等优势，为众多领域的多样化业务场景提供智能、协同、高效的泛在信息服务，是未来移动通信系统的重要组成部分。首先，分析了空天地海一体化的国内外发展现状、网络架构及其面临的需求挑战；然后，以海量差异化业务的承载需求为驱动力，研究了网络切片、移动边缘计算、通感算一体化关键网络技术；最后，从智能化、融合化、安全化角度探讨了未来空天地海一体化发展方向。

Abstract

Facing the emerging novel applications and service demands

space-air-ground-sea integrated network offers advantages such as global coverage

high efficiency

flexibility

elasticity

and reliability. It provides intelligent

collaborative

and efficient ubiquitous information services for diverse service scenarios in many fields

and is an important part of future mobile communication system. Firstly

the domestic and international development status

network architecture

demands

and challenges of space-air-ground-sea integration were analyzed. Then

driven by the demand for carrying massive diverse services

key network technologies

including network slicing

mobile edge computing

and communication-sensing-computing integration

were investigated. Finally

the future development direction of space-air-ground-sea integration was discussed from the perspectives of intelligence

integration

and security.

关键词

Keywords

references

沈学民 , 承楠 , 周海波 , 等 . 空天地一体化网络技术:探索与展望 [J ] . 物联网学报 , 2020 , 4 ( 3 ): 3 - 19 .

SHEN X M , CHENG N , ZHOU H B , et al . Space-air-ground integrated networks: review and prospect [J ] . Chinese Journal on Internet of Things , 2020 , 4 ( 3 ): 3 - 19 .

崔新雨 , 伍杰 , 周一青 , 等 . 空天地一体化融合组网的挑战与关键技术 [J ] . 西安电子科技大学学报 , 2023 , 50 ( 1 ): 1 - 11 .

CUI X Y , WU J , ZHOU Y Q , et al . Challenges and key technologies for the air-space-ground integrated network [J ] . Journal of Xidian University , 2023 , 50 ( 1 ): 1 - 11 .

ITU . ITU-T technical report - representative use cases and key network requirements for network 2030 [R ] . 2020 .

CCSDS . Blue books: recommended standards [EB ] . 2019 .

汪春霆 , 翟立君 , 徐晓帆 . 天地一体化信息网络发展与展望 [J ] . 无线电通信技术 , 2020 , 46 ( 5 ): 493 - 504 .

WANG C T , ZHAI L J , XU X F . Development and prospects of space-terrestrial integrated information network [J ] . Radio Communications Technology , 2020 , 46 ( 5 ): 493 - 504 .

丁雪丽 . 美国转型通信体系结构(TCA)的发展 [J ] . 计算机与网络 , 2005 , ( 9 ): 49 - 51 .

DING X L . The development of USA transformational communications architecture (TCA) [J ] . China Computer & Network , 2005 , ( 9 ): 49 - 51 .

FUJINO Y , MIURA A , HAMAMOTO N , et al . Satellite terrestrial integrated mobile communication system as a disaster countermeasure [C ] // Proceedings of 2011 URSI General Assembly and Scientific Symposium . Piscataway : IEEE Press , 2011 : 1 - 4 .

吴建军 , 程宇新 , 梁庆林 , 等 . 面向未来全球化网络的欧洲ISICOM 卫星通信概念系统 [J ] . 卫星应用 , 2010 ( 5 ): 59 - 64 .

WU J J , CHENG Y X , LIANG Q L , et al . European ISICOM satellite communication concept system for future global networks [J ] . Satellite Application , 2010 ( 5 ): 59 - 64 .

European Union . Virtualized hybrid satellite-terrestrial systems for resilient and flexible future networks [EB ] . 2017 .

SATis 5 Consortium. SATis5[EB]. 2018 .

LIU J J , SHI Y P , FADLULLAH Z M , et al . Space-air-ground integrated network: a survey [J ] . IEEE Communications Surveys & Tutorials , 2018 , 20 ( 4 ): 2714 - 2741 .

CAO X B , YANG P , ALZENAD M , et al . Airborne communication networks: a survey [J ] . IEEE Journal on Selected Areas in Communications , 2018 , 36 ( 9 ): 1907 - 1926 .

GUO H Z , LI J Y , LIU J J , et al . A survey on space-air-ground-sea integrated network security in 6G [J ] . IEEE Communications Surveys & Tutorials , 2021 , 24 ( 1 ): 53 - 87 .

LIU J , DU X Q , CUI J H , et al . Task-oriented intelligent networking architecture for the space-air-ground-aqua integrated network [J ] . IEEE Internet of Things Journal , 2020 , 7 ( 6 ): 5345 - 5358 .

SHANG B D , YI Y , LIU L J . Computing over space-air-ground integrated networks: challenges and opportunities [J ] . IEEE Network , 2021 , 35 ( 4 ): 302 - 309 .

DAUREMBEKOVA A , SCHOTTEN H D . Opportunities and limitations of space-air-ground integrated network in 6G systems [C ] // Proceedings of 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) . Piscataway : IEEE Press , 2023 : 1 - 7 .

管莹莹 , 宋静 , 宋清洋 , 等 . 空天地海一体化网络切片研究综述 [J ] . 移动通信 , 2022 , 46 ( 10 ): 20 - 25 .

GUAN Y Y , SONG J , SONG Q Y , et al . Space-air-ground-sea integrated network slicing: a survey [J ] . Mobile Communications , 2022 , 46 ( 10 ): 20 - 25 .

YOU X , WANG C X , HUANG J , et al . Towards 6G wireless communication networks: vision, enabling technologies, and new paradigm shifts [J ] . Science China Information Sciences , 2021 , 64 : 1 - 74 .

AHMED T , ALLEG A , FERRUS R , et al . On-demand network slicing using SDN/NFV-enabled satellite ground segment systems [C ] // Proceedings of 2018 4th IEEE conference on network softwarization and workshops (NetSoft) . Piscataway : IEEE Press , 2018 : 242 - 246 .

ZHANG N , ZHANG S , YANG P , et al . Software defined space-air-ground integrated vehicular networks: challenges and solutions [J ] . IEEE Communications Magazine , 2017 , 55 ( 7 ): 101 - 109 .

KAK A , AKYILDIZ I F . Towards automatic network slicing for the internet of space things [J ] . IEEE Transactions on Network and Service Management , 2022 , 19 ( 1 ): 392 - 412 .

CAO H T , SHEN S G , GUO Y A , et al . Resource allocation and orchestration of slicing services in softwarized space-aerial-ground integrated networks [C ] // Proceedings of 2023 International Wireless Communications and Mobile Computing (IWCMC) . Piscataway : IEEE Press , 2023 : 769 - 774 .

ZHANG S , QUAN W , LI J L , et al . Air-ground integrated vehicular network slicing with content pushing and caching [J ] . IEEE Journal on Selected Areas in Communications , 2018 , 36 ( 9 ): 2114 - 2127 .

LYU F , YANG P , WU H Q , et al . Service-oriented dynamic resource slicing and optimization for space-air-ground integrated vehicular networks [J ] . IEEE Transactions on Intelligent Transportation Systems , 2021 , 23 ( 7 ): 7469 - 7483 .

FENG B H , LI G L , LI G W , et al . Efficient mappings of service function chains at terrestrial-satellite hybrid cloud networks [C ] // Proceedings of 2018 IEEE Global Communications Conference . Piscataway : IEEE Press , 2018 : 1 - 6 .

WANG G C , ZHOU S , ZHANG S , et al . SFC-based service provisioning for reconfigurable space-air-ground integrated networks [J ] . IEEE Journal on Selected Areas in Communications , 2020 , 38 ( 7 ): 1478 - 1489 .

ZHANG P Y , YANG P , KUMAR N , et al . Space-air-ground integrated network resource allocation based on service function chain [J ] . IEEE Transactions on Vehicular Technology , 2022 , 71 ( 7 ): 7730 - 7738 .

LIU R Q , LI R Y N , DIRENZO M , et al . A vision and an evolutionary framework for 6G: scenarios, capabilities and enablers [J ] . arXiv preprint arXiv: 2305.13887 , 2023 .

WU W , ZHOU C H , LI M S , et al . AI-native network slicing for 6G networks [J ] . IEEE Wireless Communications , 2022 , 29 ( 1 ): 96 - 103 .

RODRIGUES T K , KATO N . Network slicing with centralized and distributed reinforcement learning for combined satellite/ground networks in a 6G environment [J ] . IEEE Wireless Communications , 2022 , 29 ( 1 ): 104 - 110 .

HU Y S , SHI N X , LU L , et al . Space-air-ground integrated heterogeneous network slicing with native intelligence [C ] // Proceedings of 2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops) . Piscataway : IEEE Press , 2023 : 1 - 6 .

SEID A M , ABISHU H N , ERBAD A , et al . Hierarchical DRL-empowered network slicing in space-air-ground networks [C ] // Proceedings of 2023 IEEE Global Communications Conference . Piscataway : IEEE Press , 2023 : 4680 - 4685 .

ZHOU G R , ZHAO L Q , ZHENG G , et al . Multi-objective optimization of space-air-ground integrated network slicing relying on a pair of central and distributed learning algorithms [J ] . IEEE Internet of Things Journal , 2023 , 11 ( 5 ): 8327 - 8344 .

HU Y C , PATEL M , SABELLA D , et al . Mobile edge computing—a key technology towards 5G [J ] . ETSI White Paper , 2015 , 11 ( 11 ): 1 - 16 .

雷波 , 刘增义 , 王旭亮 , 等 . 基于云、网、边融合的边缘计算新方案: 算力网络 [J ] . 电信科学 , 2019 , 35 ( 9 ): 44 - 51 .

LEI B , LIU Z Y , WANG X L , et al . Computing network: a new multi-access edge computing [J ] . Telecommunications Science , 2019 , 35 ( 9 ): 44 - 51 .

YU S , GONG X W , SHI Q , et al . EC-SAGINs: edge-computing-enhanced space-air-ground-integrated networks for internet of vehicles [J ] . IEEE Internet of Things Journal , 2021 , 9 ( 8 ): 5742 - 5754 .

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 .

ZHOU F , WU Y , HU R Q , et al . Computation rate maximization in UAV-enabled wireless-powered mobile-edge computing systems [J ] . IEEE Journal on Selected Areas in Communications , 2018 , 36 ( 9 ): 1927 - 1941 .

CHENG N , XU W C , SHI W S , et al . Air-ground integrated mobile edge networks: architecture, challenges, and opportunities [J ] . IEEE Communications Magazine , 2018 , 56 ( 8 ): 26 - 32 .

CHEN W H , LIU B C , HUANG H W , et al . When UAV swarm meets edge-cloud computing: the QoS perspective [J ] . IEEE Network , 2019 , 33 ( 2 ): 36 - 43 .

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

吴健 , 贾敏 , 郭庆 . 基于移动边缘计算的空天地一体化网络架构 [J ] . 天地一体化信息网络 , 2024 , 5 ( 1 ): 24 - 31 .

WU J , JIA M , GUO Q . Space-air-ground integrated network architecture based on mobile edge computing [J ] . Space-Integrated- Ground Information Networks , 2024 , 5 ( 1 ): 24 - 31 .

GUO Y K , GU S S , ZHANG Q Y , et al . A coded distributed computing framework for task offloading from multi-UAV to edge servers [C ] // Proceedings of 2021 IEEE Wireless Communications and Networking Conference (WCNC) . Piscataway : IEEE Press , 2021 : 1 - 6 .

CHEN Y L , AI B , NIU Y , et al . Energy-constrained computation offloading in space-air-ground integrated networks using distributionally robust optimization [J ] . IEEE Transactions on Vehicular Technology , 2021 , 70 ( 11 ): 12113 - 12125 .

LIU J Y , ZHAO X W , QIN P , et al . Joint dynamic task offloading and resource scheduling for WPT enabled space-air-ground power internet of things [J ] . IEEE Transactions on Network Science and Engineering , 2021 , 9 ( 2 ): 660 - 677 .

QIN P , FU Y , ZHAO X W , et al . Optimal task offloading and resource allocation for C-NOMA heterogeneous air-ground integrated power internet of things networks [J ] . IEEE Transactions on Wireless Communications , 2022 , 21 ( 11 ): 9276 - 9292 .

LI H R , WU S H , JIAO J , et al . Energy-efficient task offloading of edge-aided maritime UAV systems [J ] . IEEE Transactions on Vehicular Technology , 2022 , 72 ( 1 ): 1116 - 1126 .

ZHOU C H , WU W , HE H L , et al . Deep reinforcement learning for delay-oriented IoT task scheduling in SAGIN [J ] . IEEE Transactions on Wireless Communications , 2020 , 20 ( 2 ): 911 - 925 .

WANG Z , ZHOU Z Y , ZHANG H , et al . AI-based cloud-edge-device collaboration in 6G space-air-ground integrated power IoT [J ] . IEEE Wireless Communications , 2022 , 29 ( 1 ): 16 - 23 .

ZHAO N , YE Z Y , PEI Y Y , et al . Multi-agent deep reinforcement learning for task offloading in UAV-assisted mobile edge computing [J ] . IEEE Transactions on Wireless Communications , 2022 , 21 ( 9 ): 6949 - 6960 .

LYU Y F , LIU Z , FAN R F , et al . Optimal computation offloading in collaborative LEO-IoT enabled MEC: a multi-agent deep reinforcement learning approach [J ] . IEEE Transactions on Green Communications and Networking , 2022 , 7 ( 2 ): 996 - 1011 .

中国通信学会 . 通感算一体化网络前沿报告 [R ] . 2023 .

China Institute of Communications . Frontier report for integrated communication, sensing and computing [R ] . 2023 .

吴晓文 , 焦侦丰 , 刘冰 , 等 . 面向6G的卫星通感一体化 [J ] . 移动通信 , 2022 , 46 ( 10 ): 2 - 11 .

WU X W , JIAO Z F , LIU B , et al . Satellite integrated sensing and communication for 6G [J ] . Mobile Communications , 2022 , 46 ( 10 ): 2 - 11 .

WANG M , CHEN P , CAO Z X , et al . Reinforcement learning-based UAVs resource allocation for integrated sensing and communication (ISAC) system [J ] . Electronics , 2022 , 11 ( 3 ): 441 .

YOU L , QIANG X Y , TSINOS C G , et al . Beam squint-aware integrated sensing and communications for hybrid massive MIMO LEO satellite systems [J ] . IEEE Journal on Selected Areas in Communications , 2022 , 40 ( 10 ): 2994 - 3009 .

WANG Y J , WANG M Z , MENG L K , et al . New crowd sensing computing in space-air-ground integrated networks [C ] // Proceedings of 2021 International Conference on Space-Air-Ground Computing (SAGC) . Piscataway : IEEE Press , 2021 : 143 - 149 .

闫实 , 彭木根 , 王文博 . 通信-感知-计算融合: 6G愿景与关键技术 [J ] . 北京邮电大学学报 , 2021 , 44 ( 4 ): 1 - 11 .

YAN S , PENG M G , WANG W B . Integration of communication, sensing and computing: the vision and key technologies of 6G [J ] . Journal of Beijing University of Posts and Telecommunications , 2021 , 44 ( 4 ): 1 - 11 .

景毅 , 姜春晓 , 詹亚锋 . 面向卫星通信的 6G 通感算融合架构、技术与挑战 [J ] . 无线电通信技术 , 2023 , 49 ( 1 ): 12 - 20 .

JING Y , JIANG C X , ZHAN Y F . 6G communication, sensing and computing integration for satellite communication: architectures, technologies and challenges [J ] . Radio Communications Technology , 2023 , 49 ( 1 ): 12 - 20 .

廖佳佳 , 向路平 , 胡杰 , 等 . 基于无人机的6G通感算研究概述 [J ] . 移动通信 , 2023 , 47 ( 3 ): 92 - 100 .

LIAO J J , XIANG L P , HU J , et al . An overview of UAV-based communication-sensing-computing in 6G communication networks [J ] . Mobile Communications , 2023 , 47 ( 3 ): 92 - 100 .

姜大洁 , 袁雁南 , 周通 , 等 . 面向6G的通感算融合服务、系统架构与关键技术 [J ] . 移动通信 , 2023 , 47 ( 3 ): 2 - 13 .

JIANG D J , YUAN Y N , ZHOU T , et al . Services, system architecture and key technologies for 6G integrated communication, sensing and computing [J ] . Mobile Communications , 2023 , 47 ( 3 ): 2 - 13 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Artificial intelligence driven 6G networks:endogenous intelligence

Smart fog radio access networks for 6G:architecture and key technologies

Homocentric sphere model: a novel network architecture supporting 6G dense deployment and high-speed mobility scenarios

Cloud-based intelligent computing center ten-thousand card cluster innovation and practice

Research on the evolution, key technologies, and applications for AI enabled 5G-Advanced core network running

Related Author

Tong ZHANG

Yijing REN

Shi YAN

Mugen PENG

Xian ZHANG

Xueyan CAO

Binghong LIU

Yuan AI

Related Institution

China Information and Communication Technology Mobile Communication Technology Co., Ltd.

State Key Laboratory of Network and Switching Technology, Beijing University of Posts and Telecommunications

State Key Laboratory of Wireless Mobile Communication, China Information and Communication Technologies Group Co., Ltd.

China Mobile Group Design Institute Co., Ltd.

China Mobile Communications Group Zhejiang Co., Ltd.

⁰