南京航空航天大学,江苏 南京 211106
[ "曹怡璐(1999- ),女,南京航空航天大学硕士生,主要研究方向为空天地一体化网络、网络功能虚拟化等。" ]
[ "贾子晔(1990- ),女,博士,南京航空航天大学副教授、硕士生导师,主要研究方向为空天地一体化网络、低空智联网、卫星网络等。" ]
[ "尤嘉豪(1998- ),男,南京航空航天大学博士生,主要研究方向为低空智联网中的计算卸载、资源分配、轨迹规划等。" ]
[ "张磊(1972- ),男,博士,南京航空航天大学教授、硕士生导师,主要研究方向为嵌入式系统与边缘计算、人工智能与无线自组网等。" ]
[ "吴启晖(1970- ),男,博士,南京航空航天大学教授、博士生导师,主要研究方向为认知信息论、电磁空间频谱智能管控、天地一体化信息网络、无人机集群智能通信等。" ]
收稿:2025-02-25,
修回:2025-04-16,
纸质出版:2025-05-20
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曹怡璐,贾子晔,尤嘉豪等.基于SDN和NFV的空天地一体化网络任务部署与恢复综述[J].电信科学,2025,41(05):1-16.
CAO Yilu,JIA Ziye,YOU Jiahao,et al.A survey of task deployment and recovery in space-air-ground integrated networks based on SDN and NFV[J].Telecommunications Science,2025,41(05):1-16.
曹怡璐,贾子晔,尤嘉豪等.基于SDN和NFV的空天地一体化网络任务部署与恢复综述[J].电信科学,2025,41(05):1-16. DOI: 10.11959/j.issn.1000-0801.2025138.
CAO Yilu,JIA Ziye,YOU Jiahao,et al.A survey of task deployment and recovery in space-air-ground integrated networks based on SDN and NFV[J].Telecommunications Science,2025,41(05):1-16. DOI: 10.11959/j.issn.1000-0801.2025138.
空天地一体化网络作为6G技术的关键组成,在整合天基、空基和地基网络时,面临节点异构性、业务多样性等挑战,进而引发资源分配、竞争及故障风险等问题。基于此,聚焦基于软件定义网络(software defined network,SDN)与网络功能虚拟化(network functions virtualization,NFV)的空天地一体化网络任务部署与恢复,首先阐述了空天地一体化网络系统架构,介绍了各层网络构成、SDN和NFV原理及其相关应用,然后,针对上述挑战,以服务功能链技术为抓手,提出了面向任务的服务功能链优化部署、利用智能算法实现动态调度、通过匹配博弈算法完成失效恢复等策略,最后,构建了一个用例,设定节点部署、服务功能链建模等,验证了所提策略在提升服务功能链完成效率以及应对资源故障方面的有效性,旨在为空天地一体化网络资源管理提供理论基础。
The space-air-ground integrated network
as a key technology in 6G
faces challenges such as node heterogeneity and service diversity when integrating the space-based
air-based
and ground-based networks. These challenges subsequently lead to issues such as the resource allocation
competition
and failure risks. Based on this
the task deployment and recovery of the space-air-ground integrated network focusing on software defined network (SDN) and network functions virtualization (NFV) were addressed. Firstly
the space-air-ground integrated network system architecture was elaborated
introducing the composition of each layer of the network
the principles of SDN and NFV
as well as their related applications. Subsequently
in response to the above-mentioned challenges
based on the service function chain technology
corresponding strategies including the task-oriented service function chain optimized deployment
dynamic scheduling achieved through intelligent algorithms
and failure recovery accomplished via a matching game algorithm were proposed. Finally
a use case was constructed
setting node deployment and service function chain modeling. The effectiveness of the proposed strategies in improving the completion efficiency of service function chains and dealing with resource failures was verified
providing a theoretical basis for the resource allocation for the space-air-ground integrated network.
ZHANG P Y , CHEN N , SHEN S G , et al . AI-enabled space-air-ground integrated networks: management and optimization [J ] . IEEE Network , 2024 , 38 ( 2 ): 186 - 192 .
蒋长林 , 李清 , 王羽 , 等 . 天地一体化网络关键技术研究综述 [J ] . 软件学报 , 2024 , 35 ( 1 ): 266 - 287 .
JIANG C L , LI Q , WANG Y , et al . Survey on key technologies in space-ground integrated network [J ] . Journal of Software , 2024 , 35 ( 1 ): 266 - 287 .
LU Y X , WEN W , IGOREVICH K K , et al . UAV ad hoc network routing algorithms in space-air-ground integrated networks: challenges and directions [J ] . Drones , 2023 , 7 ( 7 ): 448 .
JIA Z Y , YOU J H , DONG C , et al . Cooperative cognitive dynamic system in UAV swarms: reconfigurable mechanism and framework [J ] . IEEE Vehicular Technology Magazine , 2024 , 19 ( 3 ): 90 - 101 .
ZHANG R C , DU H Y , NIYATO D , et al . Generative AI for space-air-ground integrated networks [J ] . IEEE Wireless Communications , 2024 , 31 ( 6 ): 10 - 20 .
JIA Z Y , CAO Y L , HE L J , et al . Service function chain dynamic scheduling in space-air-ground integrated networks [J ] . IEEE Transactions on Vehicular Technology , 2025 ( 99 ): 1 - 15 .
YIN Z S , CHENG N , LUAN T H , et al . DT-assisted multi-point symbiotic security in space-air-ground integrated networks [J ] . IEEE Transactions on Information Forensics and Security , 2023 , 18 : 5721 - 5734 .
CAO Y L , JIA Z Y , ZHANG Y , et al . Task-oriented service provision and scheduling for non-terrestrial networks: a deep reinforcement learning based approach [C ] // Proceedings of the 2024 16th International Conference on Wireless Communications and Signal Processing (WCSP) . Piscataway : IEEE Press , 2024 : 1037 - 1042 .
肖警续 , 郭渊博 , 常朝稳 , 等 . 基于SDN的物联网边缘节点间数据流零信任管理 [J ] . 通信学报 , 2024 , 45 ( 7 ): 101 - 116 .
XIAO J X , GUO Y B , CHANG C W , et al . Zero trust management of data flow between IoT edge nodes based on SDN [J ] . Journal on Communications , 2024 , 45 ( 7 ): 101 - 116 .
JIA Z Y , CAO Y L , HE L J , et al . NFV-enabled service recovery in space-air-ground integrated networks: a matching game-based approach [J ] . IEEE Transactions on Network Science and Engineering , 2025 , 12 ( 3 ): 1732 - 1744 .
NGUYEN D H P , LIEN Y H , LIU B H , et al . Virtual network function placement for serving weighted services in NFV-enabled networks [J ] . IEEE Systems Journal , 2023 , 17 ( 4 ): 5648 - 5659 .
CHIN W L , KO H A , CHEN N W , et al . Securing NFV/SDN IoT using VNFs over a compute-intensive hardware resource in NFVI [J ] . IEEE Network , 2023 , 37 ( 6 ): 248 - 254 .
MAITY I , GIAMBENE G , VU T X , et al . Traffic-aware resource management in SDN/NFV-based satellite networks for remote and urban areas [J ] . IEEE Transactions on Vehicular Technology , 2024 , 73 ( 11 ): 17400 - 17415 .
LIANG H , YANG Z Q , ZHANG G B , et al . Resource allocation for space-air-ground integrated networks: a comprehensive review [J ] . Journal of Communications and Information Networks , 2024 , 9 ( 1 ): 1 - 23 .
XU H T , HAN S Y , LI X H , et al . Anomaly traffic detection based on communication-efficient federated learning in space-air-ground integration network [J ] . IEEE Transactions on Wireless Communications , 2023 , 22 ( 12 ): 9346 - 9360 .
WU S , CHEN N , XIAO A L , et al . AI-enabled deployment automation for 6G space-air-ground integrated networks: challenges, design, and outlook [J ] . IEEE Network , 2024 , 38 ( 6 ): 219 - 226 .
DU J B , WANG J X , SUN A J , et al . Joint optimization in blockchain- and MEC-enabled space-air-ground integrated networks [J ] . IEEE Internet of Things Journal , 2024 , 11 ( 19 ): 31862 - 31877 .
GUO Q , TANG F X , KATO N . Routing for space-air-ground integrated network with GAN-powered deep reinforcement learning [J ] . IEEE Transactions on Cognitive Communications and Networking , 2025 , 11 ( 2 ): 914 - 922 .
JIA H Q , WANG Y , WU W . Dynamic resource allocation for remote IoT data collection in SAGIN [J ] . IEEE Internet of Things Journal , 2024 , 11 ( 11 ): 20575 - 20589 .
YUAN Z Y , LUO L L , GUO D K , et al . To deploy new or to deploy more? An online SFC deployment scheme at network edge [J ] . IEEE Internet of Things Journal , 2024 , 11 ( 2 ): 2336 - 2350 .
颜志 , 禹怀龙 , 欧阳博 , 等 . 一种基于近端策略优化的服务功能链部署算法 [J ] . 电子与信息学报 , 2024 , 46 ( 7 ): 2869 - 2878 .
YAN Z , YU H L , OUYANG B , et al . A service function chain deployment algorithm based on proximal policy optimization [J ] . Journal of Electronics & Information Technology , 2024 , 46 ( 7 ): 2869 - 2878 .
ABOUAOMAR A , CHERKAOUI S , MLIKA Z , et al . Service function chaining in MEC: a mean-field game and reinforcement learning approach [J ] . IEEE Systems Journal , 2022 , 16 ( 4 ): 5357 - 5368 .
范琪琳 , 牛岳 , 尹浩 , 等 . GAT-IL: 一种基于图注意力网络与模仿学习的服务功能链部署方法 [J ] . 电子学报 , 2024 , 52 ( 8 ): 2811 - 2823 .
FAN Q L , NIU Y , YIN H , et al . GAT-IL: a service function chain deployment method based on graph attention network and imitation learning [J ] . Acta Electronica Sinica , 2024 , 52 ( 8 ): 2811 - 2823 .
CHEN H D , WANG S P , LI G J , et al . Distributed orchestration of service function chains for edge intelligence in the industrial Internet of Things [J ] . IEEE Transactions on Industrial Informatics , 2022 , 18 ( 9 ): 6244 - 6254 .
CAO H T , ZHAO H T , LUO D X , et al . Dynamic virtual resource allocation mechanism for survivable services in emerging NFV-enabled vehicular networks [J ] . IEEE Transactions on Intelligent Transportation Systems , 2022 , 23 ( 11 ): 22492 - 22504 .
ZHANG J N , LIU Y C , LI Z W , et al . Forecast-assisted service function chain dynamic deployment for SDN/NFV-enabled cloud management systems [J ] . IEEE Systems Journal , 2023 , 17 ( 3 ): 4371 - 4382 .
YUNGAICELA-NAULA N M , VARGAS-ROSALES C , PÉREZ-DÍAZ J A . SDN/NFV-based framework for autonomous defense against slow-rate DDoS attacks by using reinforcement learning [J ] . Future Generation Computer Systems , 2023 , 149 : 637 - 649 .
RAMYA G , MANOHARAN R . Traffic-aware dynamic controller placement in SDN using NFV [J ] . The Journal of Supercomputing , 2023 , 79 ( 2 ): 2082 - 2107 .
ZHANG P Y , ZHANG Y , KUMAR N , et al . Dynamic SFC embedding algorithm assisted by federated learning in space-air-ground-integrated network resource allocation scenario [J ] . IEEE Internet of Things Journal , 2023 , 10 ( 11 ): 9308 - 9318 .
CAO Y L , JIA Z Y , DONG C , et al . SFC deployment in space-air-ground integrated networks based on matching game [C ] // Proceedings of the IEEE INFOCOM 2023-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) . Piscataway : IEEE Press , 2023 : 1 - 6 .
SUN D Y , LI H , KONG Z X , et al . Multicast SFC embedding in software-defined SAGIN with heterogeneous network resources [C ] // Proceedings of the 2024 IEEE Wireless Communications and Networking Conference (WCNC) . Piscataway : IEEE Press , 2024 : 1 - 6 .
JIA M , WU J , GUO Q , et al . Service-oriented SAGIN with pervasive intelligence for resource-constrained users [J ] . IEEE Network , 2024 , 38 ( 2 ): 79 - 86 .
LI J L , SHI W S , WU H Q , et al . Cost-aware dynamic SFC mapping and scheduling in SDN/NFV-enabled space-air-ground-integrated networks for Internet of vehicles [J ] . IEEE Internet of Things Journal , 2022 , 9 ( 8 ): 5824 - 5838 .
ZHANG P Y , LI Z Q , GUIZANI M , et al . Energy aware space-air-ground integrated network resource orchestration algorithm [J ] . IEEE Transactions on Vehicular Technology , 2024 , 73 ( 12 ): 18950 - 18960 .
WU Y , JIA Z Y , WU Q H , et al . Adaptive QoE-aware SFC orchestration in UAV networks: a deep reinforcement learning approach [J ] . IEEE Transactions on Network Science and Engineering , 2024 , 11 ( 6 ): 6052 - 6065 .
QIN X H , MA T , TANG Z X , et al . Service-aware resource orchestration in ultra-dense LEO satellite-terrestrial integrated 6G: a service function chain approach [J ] . IEEE Transactions on Wireless Communications , 2023 , 22 ( 9 ): 6003 - 6017 .
HE J C , CHENG N , YIN Z S , et al . Service-oriented network resource orchestration in space-air-ground integrated network [J ] . IEEE Transactions on Vehicular Technology , 2024 , 73 ( 1 ): 1162 - 1174 .
JIA Z Y , SHENG M , LI J D , et al . VNF-based service provision in software defined LEO satellite networks [J ] . IEEE Transactions on Wireless Communications , 2021 , 20 ( 9 ): 6139 - 6153 .
XIA Q F , WANG G J , XU Z C , et al . Efficient algorithms for service chaining in NFV-enabled satellite edge networks [J ] . IEEE Transactions on Mobile Computing , 2024 , 23 ( 5 ): 5677 - 5694 .
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