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1.东南大学移动通信国家重点实验室,江苏 南京 210096
2.紫金山实验室,江苏 南京 211111
[ "董博文(1997- ),男,东南大学移动通信国家重点实验室博士生,主要研究方向为空天地一体化网络资源分配优化技术。" ]
[ "朱敏(1980- ),男,博士,东南大学移动通信国家重点实验室教授,主要研究方向为光网络技术、太赫兹无线通信技术。" ]
[ "顾家骅(1994- ),男,东南大学移动通信国家重点实验室博士生,主要研究方向为云无线接入网资源优化调度技术。" ]
[ "望运武(1995- ),男,东南大学移动通信国家重点实验室博士生,主要研究方向为光无线通信综合网络技术。" ]
[ "张教(1988- ),男,博士,紫金山实验室副研究员,主要研究方向为面向5G-A/6G的光子毫米波太赫兹无线通信、光电融合通信、光纤无线融合接入。" ]
收稿日期:2024-09-26,
修回日期:2024-11-19,
纸质出版日期:2025-02-20
移动端阅览
董博文,朱敏,顾家骅等.空天地一体化网络资源优化:典型问题与研究展望[J].电信科学,2025,41(02):1-15.
DONG Bowen,ZHU Min,GU Jiahua,et al.Resource optimization of space-air-ground integrated network: typical issues and research prospects[J].Telecommunications Science,2025,41(02):1-15.
董博文,朱敏,顾家骅等.空天地一体化网络资源优化:典型问题与研究展望[J].电信科学,2025,41(02):1-15. DOI: 10.11959/j.issn.1000-0801.2025024.
DONG Bowen,ZHU Min,GU Jiahua,et al.Resource optimization of space-air-ground integrated network: typical issues and research prospects[J].Telecommunications Science,2025,41(02):1-15. DOI: 10.11959/j.issn.1000-0801.2025024.
在空天地一体化网络(space-air-ground integrated network,SAGIN)的发展与应用过程中,网络结构的复杂性与网络资源的多样性影响了SAGIN的服务能力。如何对异构网络进行资源分配优化以提升性能,是网络普及与应用过程中亟须解决的重要问题。首先,介绍了空天地一体化网络的架构与功能。随后,总结了网络资源优化中的若干典型问题、常见的优化目标和建模与优化方法。最后,分析了网络优化中存在的挑战,探讨了该领域未来的研究方向。
In the development and application of the space-air-ground integrated network (SAGIN)
the intricate network structure and varied resources significantly affect the service capabilities of SAGIN. It is a challenge in the popularization of SAGIN to allocate and optimize resources to improve the performance in heterogeneous networks. Firstly
the architecture and functions of SAGIN were introduced. Subsequently
several typical issues in resource optimization were summarized and analyzed
along with the common performance objectives
modeling and optimization methods. Finally
the challenges in network optimization were analyzed
and the future research direction in this field was discussed.
CHENG N , HE J C , YIN Z S , et al . 6G service-oriented space-air-ground integrated network: a survey [J ] . Chinese Journal of Aeronautics , 2022 , 35 ( 9 ): 1 - 18 .
LI B , FEI Z S , ZHANG Y . UAV communications for 5G and beyond: recent advances and future trends [J ] . IEEE Internet of Things Journal , 2019 , 6 ( 2 ): 2241 - 2263 .
KARABULUT KURT G , KHOSHKHOLGH M G , ALFATTANI S , et al . A vision and framework for the high altitude platform station (HAPS) networks of the future [J ] . IEEE Communications Surveys & Tutorials , 2021 , 23 ( 2 ): 729 - 779 .
KODHELI O , LAGUNAS E , MATURO N , et al . Satellite communications in the new space era: a survey and future challenges [J ] . IEEE Communications Surveys & Tutorials , 2021 , 23 ( 1 ): 70 - 109 .
董浩 , 宋亮 , 化存卿 , 等 . 海上通信技术发展与研究综述 [J ] . 电信科学 , 2022 , 38 ( 5 ): 1 - 17 .
DONG H , SONG L , HUA C Q , et al . Survey of the research and development on the maritime communication technology [J ] . Telecommunications Science , 2022 , 38 ( 5 ): 1 - 17 .
ZHENG J , WANG R , LI Q , et al . Research on key technologies of satellite mobile communication system [C ] // Proceedings of the 2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE) . Piscataway : IEEE Press , 2022 : 34 - 38 .
MOTA S , ROCHA A , CUPIDO L , et al . Challenges and achievements setting up a propagation campaign with MEO satellites [C ] // Proceedings of the 2023 17th European Conference on Antennas and Propagation (EuCAP) . Piscataway : IEEE Press , 2023 : 1 - 4 .
CHEN P H , CHO R L T . The technological trajectory of LEO satellites: perspectives from main path analysis [J ] . IEEE Transactions on Engineering Management , 2024 , 71 : 3629 - 3640 .
ELHALAWANY B M , HASHIMA S , KHAN W U , et al . Next generation LEO satellite constellation networks: opportunities, applications, and challenges [J ] . China Communications , 2024 .
NAJATI N , UTAMA S , HASBI W . Analysis of WRC-23 agenda item 7A case study: starlink–OneWeb satellite constellation [C ] // Proceedings of the 2023 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES) . Piscataway : IEEE Press , 2023 : 1 - 4 .
王静贤 , 虞志刚 , 祝超 , 等 . 星链系统服务能力分析 [J ] . 天地一体化信息网络 , 2024 , 5 ( 3 ): 3 - 10 .
WANG J X , YU Z G , ZHU C , et al . Analysis of starlink system service capabilities [J ] . Space-Integrated-Ground Information Networks , 2024 , 5 ( 3 ): 3 - 10 .
UYEDA F , ALVIDREZ M , KLINE E , et al . SDN in the stratosphere: loon’s aerospace mesh network [C ] // Proceedings of the ACM SIGCOMM 2022 Conference . New York : ACM , 2022 : 264 - 280 .
DRUBIN C . Zephyr HAPS achieves connectivity in trial conducted by airbus and NTT DoCoMo [J ] . Microwave Journal , 2022 , 65 ( 1 ): 49 - 50 .
BAJRACHARYA R , SHRESTHA R , KIM S , et al . 6G NR-U based wireless infrastructure UAV: standardization, opportunities, challenges and future Scopes [J ] . IEEE Access , 2022 , 10 : 30536 - 30555 .
SHARIF S , ZEADALLY S , EJAZ W . Space-aerial-ground-sea integrated networks: resource optimization and challenges in 6G [J ] . Journal of Network and Computer Applications , 2023 , 215 : 103647 .
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 .
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 .
ZHOU D , SHENG M , WU J X , et al . Gateway placement in integrated satellite–terrestrial networks: supporting communications and Internet of remote things [J ] . IEEE Internet of Things Journal , 2022 , 9 ( 6 ): 4421 - 4434 .
HU Y , CHEN M Z , SAAD W . Joint access and backhaul resource management in satellite-drone networks: a competitive market approach [J ] . IEEE Transactions on Wireless Communications , 2020 , 19 ( 6 ): 3908 - 3923 .
ALSHAROA A , ALOUINI M S . Improvement of the global connectivity using integrated satellite-airborne-terrestrial networks with resource optimization [J ] . IEEE Transactions on Wireless Communications , 2020 , 19 ( 8 ): 5088 - 5100 .
FAN K X , FENG B W , ZHANG X L , et al . Network selection based on evolutionary game and deep reinforcement learning in space-air-ground integrated network [J ] . IEEE Transactions on Network Science and Engineering , 2022 , 9 ( 3 ): 1802 - 1812 .
DAI C Q , GUO L F , FU S , et al . Contact plan design with directional space-time graph in two-layer space communication networks [J ] . IEEE Internet of Things Journal , 2019 , 6 ( 6 ): 10862 - 10874 .
JIA Z Y , SHENG M , LI J D , et al . Joint HAP access and LEO satellite backhaul in 6G: matching game-based approaches [J ] . IEEE Journal on Selected Areas in Communications , 2021 , 39 ( 4 ): 1147 - 1159 .
JIA Z Y , SHENG M , LI J D , et al . Toward data collection and transmission in 6G space-air-ground integrated networks: cooperative HAP and LEO satellite schemes [J ] . IEEE Internet of Things Journal , 2022 , 9 ( 13 ): 10516 - 10528 .
ZHOU D , SHENG M , LUO J , et al . Collaborative data scheduling with joint forward and backward induction in small satellite networks [J ] . IEEE Transactions on Communications , 2019 , 67 ( 5 ): 3443 - 3456 .
FU S , GAO J , ZHAO L . Collaborative multi-resource allocation in terrestrial-satellite network towards 6G [J ] . IEEE Transactions on Wireless Communications , 2021 , 20 ( 11 ): 7057 - 7071 .
TRAN D H , CHATZINOTAS S , OTTERSTEN B . Satellite- and cache-assisted UAV: a joint cache placement, resource allocation, and trajectory optimization for 6G aerial networks [J ] . IEEE Open Journal of Vehicular Technology , 2022 ( 3 ): 40 - 54 .
JIA Z Y , SHENG M , LI J D , et al . LEO-satellite-assisted UAV: joint trajectory and data collection for Internet of remote things in 6G aerial access networks [J ] . IEEE Internet of Things Journal , 2021 , 8 ( 12 ): 9814 - 9826 .
MA T , ZHOU H B , QIAN B , et al . UAV-LEO integrated backbone: a ubiquitous data collection approach for B5G Internet of remote things networks [J ] . IEEE Journal on Selected Areas in Communications , 2021 , 39 ( 11 ): 3491 - 3505 .
ARANI A H , HU P , ZHU Y Y . HAPS-UAV-enabled heterogeneous networks: a deep reinforcement learning approach [J ] . IEEE Open Journal of the Communications Society , 2023 ( 4 ): 1745 - 1760 .
CHENG N , LYU F , QUAN W , et al . Space/aerial-assisted computing offloading for IoT applications: a learning-based approach [J ] . IEEE Journal on Selected Areas in Communications , 2019 , 37 ( 5 ): 1117 - 1129 .
ZHANG S B , LIU A J , HAN C , et al . Multiagent reinforcement learning-based orbital edge offloading in SAGIN supporting Internet of remote things [J ] . IEEE Internet of Things Journal , 2023 , 10 ( 23 ): 20472 - 20483 .
JIA Z Y , WU Q H , DONG C , et al . Hierarchical aerial computing for Internet of things via cooperation of HAPs and UAVs [J ] . IEEE Internet of Things Journal , 2023 , 10 ( 7 ): 5676 - 5688 .
ZHANG L W , LIU J Y , SHENG M , et al . Exploiting collaborative computing to improve downlink sum rate in satellite integrated terrestrial networks [J ] . IEEE Transactions on Vehicular Technology , 2023 , 72 ( 4 ): 4670 - 4682 .
ZHANG S B , LIU A J , HAN C , et al . GRLR: routing with graph neural network and reinforcement learning for mega LEO satellite constellations [J ] . IEEE Transactions on Vehicular Technology , 2024 , PP( 99 ): 1 - 13 .
HE L J , LI J D , SHENG M , et al . Dynamic scheduling of hybrid tasks with time windows in data relay satellite networks [J ] . IEEE Transactions on Vehicular Technology , 2019 , 68 ( 5 ): 4989 - 5004 .
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 .
ZHOU D , SHENG M , LIU R Z , et al . Channel-aware mission scheduling in broadband data relay satellite networks [J ] . IEEE Journal on Selected Areas in Communications , 2018 , 36 ( 5 ): 1052 - 1064 .
WANG C , LIU L , JIANG C X , et al . Incorporating distributed DRL into storage resource optimization of space-air-ground integrated wireless communication network [J ] . IEEE Journal of Selected Topics in Signal Processing , 2022 , 16 ( 3 ): 434 - 446 .
ZHU Y , BAI W G , SHENG M , et al . Joint UAV access and GEO satellite backhaul in IoRT networks: performance analysis and optimization [J ] . IEEE Internet of Things Journal , 2021 , 8 ( 9 ): 7126 - 7139 .
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 .
SHENG M , ZHOU D , LIU R Z , et al . Resource mobility in space information networks: opportunities, challenges, and approaches [J ] . IEEE Network , 2019 , 33 ( 1 ): 128 - 135 .
ZHANG T , LI J D , LI H Y , et al . Application of time-varying graph theory over the space information networks [J ] . IEEE Network , 2020 , 34 ( 2 ): 179 - 185 .
ZHOU D , SHENG M , LI B , et al . Distributionally robust planning for data delivery in distributed satellite cluster network [J ] . IEEE Transactions on Wireless Communications , 2019 , 18 ( 7 ): 3642 - 3657 .
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 .
ZHU R J , LI G , ZHANG Y D , et al . Load-balanced virtual network embedding based on deep reinforcement learning for 6G regional satellite networks [J ] . IEEE Transactions on Vehicular Technology , 2023 , 72 ( 11 ): 14631 - 14644 .
LIAO H J , ZHOU Z Y , ZHAO X W , et al . Learning-based queue-aware task offloading and resource allocation for space-air-ground-integrated power IoT [J ] . IEEE Internet of Things Journal , 2021 , 8 ( 7 ): 5250 - 5263 .
KATO N , FADLULLAH Z M , TANG F X , et al . Optimizing space-air-ground integrated networks by artificial intelligence [J ] . IEEE Wireless Communications , 2019 , 26 ( 4 ): 140 - 147 .
ZHANG H J , SONG W , LIU X N , et al . Intelligent channel prediction and power adaptation in LEO constellation for 6G [J ] . IEEE Network , 2023 , 37 ( 2 ): 110 - 117 .
HUANG Y H , JIANG X F , CHEN S W , et al . Pheromone incentivized intelligent multipath traffic scheduling approach for LEO satellite networks [J ] . IEEE Transactions on Wireless Communications , 2022 , 21 ( 8 ): 5889 - 5902 .
HE H M , ZHOU D , SHENG M , et al . Hierarchical cross-domain satellite resource management: an intelligent collaboration perspective [J ] . IEEE Transactions on Communications , 2023 , 71 ( 4 ): 2201 - 2215 .
ZHOU D , SHENG M , WANG Y X , et al . Machine learning-based resource allocation in satellite networks supporting Internet of remote things [J ] . IEEE Transactions on Wireless Communications , 2021 , 20 ( 10 ): 6606 - 6621 .
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