AI技术在卫星通信/互联网领域的应用综述

doi:10.11959/j.issn.1000-0801.2023030

Abstract

Abstract:

The birth of satellite Internet brings new development opportunities, but also many challenges.How artificial intelligence, as an important auxiliary tool, was widely used in the field of satellite communication/satellite Internet in the context of the development of space-air-ground integration, was investigated, which involved communication anti-jamming, communication routing, satellite-terrestrial network system architecture, constellation operation and management and other scenarios.The AI algorithms included traditional machine learning, deep learning, reinforcement learning and so on.Finally, by taking the development trend of the AI applied in the satellite field into consideration, several future research directions were put forward, which provided new ideas and technical solutions for the intelligent development of satellite field in our country.

Key words: satellite communication, space-air-ground integration, satellite Internet, AI algorithm, machine learning

CLC Number:

TN927

Yaqiong LIU, Zhe LYU, Yafei ZHAO, Guochu SHOU. A survey on AI techniques applied in the satellite communication/satellite Internet field[J]. Telecommunications Science, 2023, 39(2): 10-24.

Figures/Tables 6

References 57

[1]	徐阳 . 卫星通信技术及其展望[J]. 电子技术, 2022,51(7): 258-259.
	XU Y . Study on satellite communication technology and its prospect[J]. Electronic Technology, 2022,51(7): 258-259.
[2]	宋川川, 姚雅雯 . 探讨卫星通信系统在航空领域的应用[J]. 电子测试, 2022(16): 72-73,68.
	SONG C C , YAO Y W . The application of satellite communication system in aviation field is discussed[J]. Electronic Test, 2022(16): 72-73,68.
[3]	武音璇 . 卫星互联网产业发展前景与展望[J]. 张江科技评论, 2022(3): 39-41.
	WU Y X . Development prospect and prospect of satellite Internet industry[J]. Zhangjiang Technology Review, 2022(3): 39-41.
[4]	张聪, 高峰 . 卫星互联网未来应用场景及安全性分析[J]. 信息技术, 2022,46(3): 120-126.
	ZHANG C , GAO F . The future application scenarios and security analysis of satellite Internet[J]. Information Technology, 2022,46(3): 120-126.
[5]	李锋, 韩燕妮, 马晓玲 ,等. 我国低轨卫星互联网发展的问题与对策建议[J]. 全球化, 2022(6): 77-84,134.
	LI F , HAN Y N , MA X L ,et al. Problems and countermeasures for the development of low-orbit satellite Internet in China[J]. Globalization, 2022(6): 77-84,134.
[6]	黄曜明, 姬天相 . 卫星互联网发展趋势和面临挑战分析[C]// 5G网络创新研讨会（2022）论文集. 2022: 474-477.
	HUANG Y M , JI T X . Analysis on the development trend and challenges of satellite internet[C]// Proceedings of 5G Network Innovation Symposium (2022). 2022: 474-477.
[7]	李莉 . 软件定义卫星智能引领航天[J]. 中国科技奖励, 2019(1): 26-28.
	LI L . Software-defined satellite intelligence leads space flight[J]. China Awards for Science and Technology, 2019(1): 26-28.
[8]	弋耀武, 龚辉, 陈兆源 . 全球卫星导航系统建设发展的启示[J]. 经纬天地, 2022(5): 57-59.
	YI Y W , GONG H , CHEN Z Y . Enlightenment from the construction and development of global satellite navigation system[J]. Survey World, 2022(5): 57-59.
[9]	更智能的卫星:ESA发现项目（ESA Discovery）加速太空中的人工智能[J]. 中国测绘, 2022(6): 78-79.
	Smarter satellites:ESA discovery program to accelerate artificial intelligence in space[J]. China Surveying and Mapping, 2022(6): 78-79.
[10]	虞志刚, 冯旭, 黄照祥 ,等. 通信、网络、计算融合的天地一体化信息网络体系架构研究[J]. 电信科学, 2022,38(4): 11-29.
	YU Z G , FENG X , HUANG Z X ,et al. Research on the architecture of space-ground integrated information network:integration of communication,networking and computing[J]. Telecommunications Science, 2022,38(4): 11-29.
[11]	王文哲, 安岗, 李忻 ,等. 面向空天地一体化场景的5G卫星双模终端需求及应用探讨[J]. 电信科学, 2022,38(S1): 221-230.
	WANG W Z , AN G , LI X ,et al. Discussion of 5G satellite dual-mode terminal requirement and application in the integration communication scenario of satellite and UTRAN[J]. Telecommunications Science, 2022,38(S1): 221-230.
[12]	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]. Journal on Internet of Things, 2020,4(3): 3-19.
[13]	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, 2022: 1-11.
	CUI X Y , WU J , ZHOU Y Q ,et al. Challenges and key technologies of air-space integration networking[J]. Journal of Xidian University, 2022: 1-11.
[14]	FOURATI F , ALOUINI M S . Artificial intelligence for satellite communication:a review[Z]. 2021.
[15]	刘佩璋, 杨博, 刘江春 ,等. 基于深度学习的卫星通信抗干扰方法[J]. 电子测试, 2020(1): 86-87.
	LIU P Z , YANG B , LIU J C ,et al. Interference awareness method based on deep learning for satellite communication[J]. Electronic Test, 2020(1): 86-87.
[16]	孔景娜 . 基于强化学习的卫星通信智能抗干扰决策探讨[J]. 无线互联科技, 2021,18(5): 3-4.
	KONG J N . Research on intelligent anti-interference decision of satellite communication based on reinforcement learning[J]. Wireless Internet Technology, 2021,18(5): 3-4.
[17]	李新桐, 张亚生 . 一种适用于低轨卫星的SDN网络人工智能路由方法[J]. 电子测量技术, 2020,43(22): 109-114.
	LI X T , ZHANG Y S . Artificial intelligence routing method for SDN network suitable for LEO satellites[J]. Electronic Measurement Technology, 2020,43(22): 109-114.
[18]	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.
[19]	段超凡, 王锐 . 基于智能水滴算法的卫星信道资源调度研究[J]. 现代计算机, 2022,28(7): 75-78,86.
	DUAN C F , WANG R . Satellite channel allocation based on the intelligent water drops algorithm[J]. Modern Computer, 2022,28(7): 75-78,86.
[20]	杨伟超, 杜宇, 文伟 ,等. 基于多重分形谱智能分析的卫星信号调制识别研究[J]. 电子学报, 2022,50(6): 1336-1343.
	YANG W C , DU Y , WEN W ,et al. Modulation recognition of satellite communication signal based on intelligent analysis of multi-fractal spectrum[J]. Acta Electronica Sinica, 2022,50(6): 1336-1343.
[21]	EBERT J , BAILER W , FLAVIO J ,et al. A method for ACM on Q/V-band satellite links based on artificial intelligence[C]// Proceedings of 2020 10th Advanced Satellite Multimedia Systems Conference and the 16th Signal Processing for Space Communications Workshop (ASMS/SPSC). Piscataway:IEEE Press, 2020: 1-5.
[22]	NGUYEN T M , . Advanced mathematical modeling of machine learning and artificial intelligent addressing satellite transponder distortions[C]// Proceedings of 2020 IEEE Green Energy and Smart Systems Conference (IGESSC). Piscataway:IEEE Press, 2020: 1-6.
[23]	韩永锋, 张晨, 张更新 . 基于深度强化学习的卫星动态资源管理研究综述[C]// 第十六届卫星通信学术年会论文集. 2020: 37-43.
	HAN Y F , ZHANG C , ZHANG G X . A review of satellite dynamic resource management based on deep reinforcement learning[C]// Proceedings of the 16th Annual Conference on Satellite Communications. 2020: 37-43.
[24]	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(7): 1-14.
	WU X W , JIAO Z F , LING X ,et al. Outlook on satellite communications network architecture for 6G[J]. Telecommunications Science, 2021,37(7): 1-14.
[25]	XIAO W J , WANG R , SONG J ,et al. AI-based satellite ground communication system with intelligent antenna pointing[C]// Proceedings of GLOBECOM 2020 - 2020 IEEE Global Communications Conference. Piscataway:IEEE Press, 2021: 1-6.
[26]	OLIGERI G , SCIANCALEPORE S , RAPONI S ,et al. PAST-AI:physical-layer authentication of satellite transmitters via deep learning[J]. IEEE Transactions on Information Forensics and Security, 2022,18: 274-289.
[27]	STHAPIT S , LAKSHMINARAYANA S , HE L G ,et al. Reinforcement learning for security-aware computation offloading in satellite networks[J]. IEEE Internet of Things Journal, 2022,9(14): 12351-12363.
[28]	ZHANG S T , . Research on photoelectric effect for artificial satellite communication[C]// Proceedings of 2020 IEEE Intl Conf on Parallel ＆ Distributed Processing with Applications,Big Data ＆ Cloud Computing,Sustainable Computing ＆Communications,Social Computing ＆ Networking (IS PA/BDCloud/SocialCom/SustainCom). Piscataway:IEEE Press, 2021: 1465-1469.
[29]	LUIS J J G , PACHLER N , GUERSTER M ,et al. Artificial intelligence algorithms for power allocation in high throughput satellites:a comparison[C]// Proceedings of 2020 IEEE Aerospace Conference. Piscataway:IEEE Press, 2020: 1-15.
[30]	FURANO G , MEONI G , DUNNE A ,et al. Towards the use of artificial intelligence on the edge in space systems:challenges and opportunities[J]. IEEE Aerospace and Electronic Systems Magazine, 2020,35(12): 44-56.
[31]	岳洋, 倪少杰, 吕志成 ,等. 低轨卫星互联网建模与仿真系统设计[C]// 第三十四届中国仿真大会暨第二十一届亚洲仿真会议论文集. 2022: 376-384.
	YUE Y , NI S J , LYU Z C ,et al. Design of Internet modeling and simulation system for low-orbit satellite[C]// Proceedings of the 34th China Simulation Conference and the 21st Asian Simulation Conference, 2022: 376-384.
[32]	董超颖, 续欣, 刘爱军 ,等. 低轨卫星星座网络路由新方法[J]. 计算机科学, 2020,47(12): 285-290.
	DONG C Y , XU X , LIU A J ,et al. New routing methods of LEO satellite networks[J]. Computer Science, 2020,47(12): 285-290.
[33]	魏琳慧, 刘国文, 刘雨 ,等. 基于深度强化学习的卫星互联网路由优化研究[J]. 天地一体化信息网络, 2022,3(3): 65-71.
	WEI L H , LIU G W , LIU Y ,et al. Research on routing optimization in satellite Internet based on deep reinforcement learning[J]. Space-Integrated-Ground Information Networks, 2022,3(3): 65-71.
[34]	WANG F , JIANG D D , WANG Z H ,et al. Fuzzy-CNN based multi-task routing for integrated satellite-terrestrial networks[J]. IEEE Transactions on Vehicular Technology, 2022,71(2): 1913-1926.
[35]	CURZI G , MODENINI D , TORTORA P . Large constellations of small satellites:a survey of near future challenges and missions[J]. Aerospace, 2020,7(9): 133.
[36]	罗泽耀 . 天地一体化网络下基于机器学习的路由技术研究[D]. 成都:电子科技大学, 2021.
	LUO Z Y . Research of routing technology based on machine learning in integrated satellite-terrestrial information network[D]. Chengdu:University of Electronic Science and Technology of China, 2021.
[37]	高新洲 . 基于智能优化算法的卫星任务规划问题研究[D]. 哈尔滨:哈尔滨工业大学, 2021.
	GAO X Z . Satellite mission planning based on intelligent optimization algorithms[D]. Harbin:Harbin Institute of Technology, 2021.
[38]	纪哲, 吴胜, 王文博 . 面向卫星互联网的层级化智能部署架构[J]. 天地一体化信息网络, 2022,3(1): 56-61.
	JI Z , WU S , WANG W B . Hierarchical intelligence deployment architecture for satellite Internet[J]. Space-Integrated-Ground Information Networks, 2022,3(1): 56-61.
[39]	GAO Z , ZHANG Y Q , SUN W . Artificial intelligence service by satellite networks based on ensemble learning with cloud-edge-end integration[C]// Proceedings of 2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops). Piscataway:IEEE Press, 2022: 158-163.
[40]	袁硕, 任奕璟, 王则予 ,等. 软件定义的星地融合智能无线网络[J]. 电信科学, 2021,37(6): 66-77.
	YUAN S , REN Y J , WANG Z Y ,et al. Software defined intelligent satellite-terrestrial integrated wireless network[J]. Telecommunications Science, 2021,37(6): 66-77.
[41]	雷永刚, 张若禹, 马佳楠 . 人工智能技术在卫星任务管控领域的应用[J]. 电讯技术, 2022,62(9): 1377-1382.
	LEI Y G , ZHANG R Y , MA J N . Application of artificial intelligence technology in satellite control system[J]. Telecommunication Engineering, 2022,62(9): 1377-1382.
[42]	LIU Q , YANG J , ZHUANG C J ,et al. Artificial intelligence based mobile tracking and antenna pointing in satellite-terrestrial network[C]// Proceedings of IEEE Access. Piscataway:IEEE Press, 2019: 177497-177503.
[43]	PATRONE F , BACCI G , GALLI A ,et al. Data-driven network orchestrator for 5G satellite-terrestrial integrated networks:the ANChOR project[C]// Proceedings of 2021 IEEE Global Communications Conference (GLOBECOM). Piscataway:IEEE Press, 2022: 1-6.
[44]	ZHANG J X , ZHANG X , WANG P ,et al. Double-edge intelligent integrated satellite terrestrial networks[J]. China Communications, 2020,17(9): 128-146.
[45]	LIANG Y C , TAN J J , JIA H N ,et al. Realizing intelligent spectrum management for integrated satellite and terrestrial networks[J]. Journal of Communications and Information Networks, 2021,6(1): 32-43.
[46]	LI S X , CHEN Q , LI Z ,et al. Civil aircraft assisted space-air-ground integrated networks:architecture design and coverage analysis[J]. China Communications, 2022,19(1): 29-39.
[47]	KATO N , FADLULLAH Z M , TANG F ,et al. Optimizing space-air-ground integrated networks by artificial intelligence:IEEE,10.1109/MWC.2018.1800365[P]. 2018.
[48]	王朱伟, 徐广书, 买天乐 ,等. 基于AI的LEO卫星网络资源管理架构设计[J]. 信息技术与网络安全, 2018,37(2): 20-22,36.
	WANG Z W , XU G S , MAI T L ,et al. Design of LEO satellite network resource management architecture based on AI[J]. Information Technology and Network Security, 2018,37(2): 20-22,36.
[49]	周小伟, 郑伟 . AI人工智能技术在天基通信中的应用分析[J]. 电子测试, 2021(6): 55-56.
	ZHOU X W , ZHENG W . Application analysis of AI Artificial Intelligence Technology in space based communication[J]. Electronic Test, 2021(6): 55-56.
[50]	FERREIRA P V R , PAFFENROTH R , WYGLINSKI A M ,et al. Multiobjective reinforcement learning for cognitive satellite communications using deep neural network ensembles[J]. IEEE Journal on Selected Areas in Communications, 2018,36(5): 1030-1041.
[51]	唐斯琪, 潘志松, 胡谷雨 ,等. 智能化卫星互联网运维与管理：现状与机遇[J]. 天地一体化信息网络, 2021,2(4): 75-83.
	TANG S Q , PAN Z S , HU G Y ,et al. Intelligent satellite Internet maintenance and management:progress and opportunities[J]. Space-Integrated-Ground Information Networks, 2021,2(4): 75-83.
[52]	杜丹冰 . 一种优化空天地一体化网络吞吐量算法[J]. 弹箭与制导学报, 2022: 1-6.
	DU D B . An algorithm for optimizing throughput of air-space integrated network[J]. Journal of Projectiles,Arrows and Guidance, 2022: 1-6.
[53]	杨力, 何兆斌, 孔志翔 . 天地一体化智能网络智能节点部署策略[J]. 小型微型计算机系统, 2022,43(1): 159-164.
	YANG L , HE Z B , KONG Z X . Deployment strategy of intelligent node in integrated intelligent network[J]. Journal of Chinese Computer Systems, 2022,43(1): 159-164.
[54]	周家豪 . 面向天地一体化网络的智能接入控制与资源分配机制研究[D]. 成都:电子科技大学, 2022.
	ZHOU J H . Research on intelligent access control and resource allocation mechanism for space-air-ground integrated network[D]. Chengdu:University of Electronic Science and Technology of China, 2022.
[55]	王鹏, 张佳鑫, 张兴 ,等. 低轨卫星智能多接入边缘计算网络：需求、架构、机遇与挑战[J]. 移动通信, 2021,45(5): 35-46.
	WANG P , ZHANG J X , ZHANG X ,et al. Low earth orbit satellite intelligent multi-access edge computing networks:requirements,architecture,opportunities and challenges[J]. Mobile Communications, 2021,45(5): 35-46.
[56]	崔涛, 任智源, 黎军 ,等. 卫星互联网业务智能识别分类算法与仿真[J]. 天地一体化信息网络, 2022,3(2): 72-80.
	CUI T , REN Z Y , LI J ,et al. Intelligent identification and classification algorithm and simulation of satellite Internet business[J]. Space-Integrated-Ground Information Networks, 2022,3(2): 72-80.
[57]	毛伯敏, 郭鸿志, 刘家佳 . 卫星物联网中服务质量与安全的智能联合优化方法[J]. 移动通信, 2021,45(5): 31-34.
	MAO B M , GUO H Z , LIU J J . Intelligent joint optimizations of QoS and security for satellite Internet of Things[J]. Mobile Communications, 2021,45(5): 31-34.

Metrics

Recommended 0

No Suggested Reading articles found!

智能化内容/目标	使用的AI方法	代表性文献
实现对卫星通信干扰的自主感知	基于DL与干扰感知的AI技术	文献[15]
	LSTM
针对音频干扰、窄带干扰、扫频干扰及其两两叠加的复合	RL	文献[16]
干扰的智能抗干扰决策
负载均衡最优路径	基于集中式SDN的TRPO	文献[17]
自适应多路径路由发现	PIMTS	文献[18]
	DDPG
信道资源调度	智能水滴算法	文献[19]
识别通信信号调制方式	ResNet50	文献[20]
优化自适应编码和调制	在线随机回归森林ORRF	文献[21]
卫星信道中信号失真问题	RL	文献[22]
	多目标强化和自适应神经网络
多波束卫星信道分配、功率分配和跳波束算法	DRL	文献[23]
6G卫星通信网络	AI赋能技术	文献[24]
多层卫星通信	快速天线指向算法	文献[25]
	智能改进的DRL算法
低轨卫星物理层认证	ResNet18	文献[26]
计算卸载	深度确定性策略梯度方法	文献[27]
卫星表面充电通信	ML	文献[28]
多波束高吞吐量卫星的动态功率分配	遗传算法、模拟退火算法、粒子群优化	文献[29]
	DRL
降低带宽下行链路成本	DNN	文献[30]

场景	AI方法	优势
资源分配等需要考虑用户空间分布的问题	CNN	感知二维空间数据
预测问题，如用户流量预测、信道质量预测、异常预测	RNN	感知时序数据
学习卫星间拓扑关系，用户间、卫星与用户间的图关系	图神经网络	感知图关系
对计算效率要求高的场景，如核心网数据流异常检测	SVM	模型复杂度低
网络运维数据的高维特征降维；网络运行状态异常检测	自编码器	高维数据降维
解决数据样本不足问题或用鉴别器检测异常	生成式神经网络	生成模型，可应对小样本数据问题
动态网络环境中序列决策问题，如资源分配、流量调度	Q学习、深度Q学习	解决无模型环境中的序列决策问题
大规模网络中节点分布式控制资源分配、流量调度等	多智能体强化学习	各智能体独立决策
网络中标签训练数据不足的问题	迁移学习	所需训练样本少

A survey on AI techniques applied in the satellite communication/satellite Internet field

RichHTML

PDF下载

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 6

References 57

Related Articles 15

Metrics

Recommended 0

[1]	Zehua GUO, Haowen ZHU, Tongwen XU. Network modal innovation for distributed machine learning [J]. Telecommunications Science, 2023, 39(6): 44-51.
[2]	Yaohua SUN, Mugen PENG. Low earth orbit satellite communication supporting direct connection with mobile phones: key technologies, recent progress and future directions [J]. Telecommunications Science, 2023, 39(2): 25-36.
[3]	Yu KANG, Yaqiong LIU, Tongyu ZHAO, Guochu SHOU. A survey on AI algorithms applied in communication and computation in Internet of vehicles [J]. Telecommunications Science, 2023, 39(1): 1-19.
[4]	Jianwu ZHANG, Yanjun AN, Huangyan DENG. A survey on DNS attack detection and security protection [J]. Telecommunications Science, 2022, 38(9): 1-17.
[5]	Xiaoyu CHANG, Weijia ZHANG, Xudong1 LI, Xiaonan ZHANG, Gang WANG, Gang JIA. Study on remote sensing satellites random access to internet constellation and on-orbit intelligent processing [J]. Telecommunications Science, 2022, 38(4): 59-69.
[6]	Le YU, Lidong ZHU, Liang JIN, Jiali LI, Yilun LIU, Cheng GUO. Generalized approximate message passing based SrCMA satellite receiver [J]. Telecommunications Science, 2022, 38(4): 77-89.
[7]	Zhenhua ZHANG, Siyue SUN, Gaosai LIU, Long WANG, Xinglong JIANG, Lin DONG, Guang LIANG. A survey of optical/electric hybrid switching technology for satellite Internet [J]. Telecommunications Science, 2022, 38(11): 1-10.
[8]	Xinyuan HU, Ruoqi DENG, Boya DI, Hongliang ZHANG, Lingyang SONG. Key technologies of satellite communications aided by reconfigurable holographic surfaces [J]. Telecommunications Science, 2022, 38(10): 46-56.
[9]	Zhichao ZHOU, Yi FENG, Xiaohan XIA, Yuyao FENG, Chao CAI, Jiahui QIU, Lihui YANG, Yunxiao WU. Outdoor location scheme with fingerprinting based on machine learning of mobile cellular network [J]. Telecommunications Science, 2021, 37(8): 85-95.
[10]	Xiaowen WU, Zhenfeng JIAO, Xiang LING, Bing LIU, Lidong ZHU, Lei HAN. Outlook on satellite communications network architecture for 6G [J]. Telecommunications Science, 2021, 37(7): 1-14.
[11]	Xiaowen WU, Xiang LING, Lidong ZHU, Zhenfeng JIAO, Jian CHENG, Bo YANG. Access and mobility management technologies for 6G satellite communications network [J]. Telecommunications Science, 2021, 37(6): 78-90.
[12]	Xiang LI,Yuan LI,Zifei ZHANG,Zhe YANG. A density clustering-based network performance failure big data analysis algorithm [J]. Telecommunications Science, 2020, 36(9): 51-58.
[13]	Ziyu XIAO. A review of key technologies for the future of the 2030 network——Beyond 5G [J]. Telecommunications Science, 2020, 36(9): 114-121.
[14]	Yaxing QIU,Xidong WANG,Sen BIAN,Lei YUE. Load balancing based on clustering analysis and deep learning for multi-frequency and multi-mode network [J]. Telecommunications Science, 2020, 36(7): 156-162.
[15]	Shanzhi CHEN. Analysis of LEO satellite communication and suggestions for its development strategy in China [J]. Telecommunications Science, 2020, 36(6): 1-13.