Space-Based Electromagnetic Spectrum Sensing and Situation Awareness

With a booming number of wireless Internet-of-Things devices, satellite communications have been recognized as a key pillar to support massive communication and ubiquitous connectivity in sixth-generation usage scenarios. In the meanwhile, such expansion of space-terrestrial integrated networks make...

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Main Authors: Yang Huang, Haoyu Cui, Yuqi Hou, Caiyong Hao, Wei Wang, Qiuming Zhu, Jie Li, Qihui Wu, Jiabo Wang
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS) 2024-01-01
Series:Space: Science & Technology
Online Access:https://spj.science.org/doi/10.34133/space.0109
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author Yang Huang
Haoyu Cui
Yuqi Hou
Caiyong Hao
Wei Wang
Qiuming Zhu
Jie Li
Qihui Wu
Jiabo Wang
author_facet Yang Huang
Haoyu Cui
Yuqi Hou
Caiyong Hao
Wei Wang
Qiuming Zhu
Jie Li
Qihui Wu
Jiabo Wang
author_sort Yang Huang
collection DOAJ
description With a booming number of wireless Internet-of-Things devices, satellite communications have been recognized as a key pillar to support massive communication and ubiquitous connectivity in sixth-generation usage scenarios. In the meanwhile, such expansion of space-terrestrial integrated networks makes satellite radio spectrum management complicated. To facilitate spectrum surveillance and efficiently utilize spectrum resources, space-based electromagnetic spectrum monitoring becomes an urgent demand. This paper first investigates state-of-the-art ground-based spectrum monitoring schemes and satellite spectrum monitoring schemes. As crucial enabling technologies for satellite spectrum monitoring, satellite spectrum sensing and database technologies are systematically outlined, as well as their characteristics and limitations. To tackle with the limitations, this paper proposes a space-based spectrum situational awareness method with spectrum situational maps. By applying generative adversarial networks, the spatial correlation of satellite spectrum data is intrinsically utilized to visualize the distribution of radio spectrum situational information in spatial domain. In addition, challenges in monitoring uplink transmissions with narrow directional beams, as in low-Earth orbit satellite internet, are discussed. To handle this issue, a novel satellite spectrum monitoring scheme is proposed by using reinforcement learning and target probability map. The scheme is also validated by numerical results with a case study.
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spelling doaj.art-2e78b901c54047f8a07136e84711749e2024-02-12T13:47:46ZengAmerican Association for the Advancement of Science (AAAS)Space: Science & Technology2692-76592024-01-01410.34133/space.0109Space-Based Electromagnetic Spectrum Sensing and Situation AwarenessYang Huang0Haoyu Cui1Yuqi Hou2Caiyong Hao3Wei Wang4Qiuming Zhu5Jie Li6Qihui Wu7Jiabo Wang8College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.Shenzhen Station of State Radio Monitoring Center, Shenzhen 518000, China.College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.Nanyang Technological University, Singapore 639798, Singapore.With a booming number of wireless Internet-of-Things devices, satellite communications have been recognized as a key pillar to support massive communication and ubiquitous connectivity in sixth-generation usage scenarios. In the meanwhile, such expansion of space-terrestrial integrated networks makes satellite radio spectrum management complicated. To facilitate spectrum surveillance and efficiently utilize spectrum resources, space-based electromagnetic spectrum monitoring becomes an urgent demand. This paper first investigates state-of-the-art ground-based spectrum monitoring schemes and satellite spectrum monitoring schemes. As crucial enabling technologies for satellite spectrum monitoring, satellite spectrum sensing and database technologies are systematically outlined, as well as their characteristics and limitations. To tackle with the limitations, this paper proposes a space-based spectrum situational awareness method with spectrum situational maps. By applying generative adversarial networks, the spatial correlation of satellite spectrum data is intrinsically utilized to visualize the distribution of radio spectrum situational information in spatial domain. In addition, challenges in monitoring uplink transmissions with narrow directional beams, as in low-Earth orbit satellite internet, are discussed. To handle this issue, a novel satellite spectrum monitoring scheme is proposed by using reinforcement learning and target probability map. The scheme is also validated by numerical results with a case study.https://spj.science.org/doi/10.34133/space.0109
spellingShingle Yang Huang
Haoyu Cui
Yuqi Hou
Caiyong Hao
Wei Wang
Qiuming Zhu
Jie Li
Qihui Wu
Jiabo Wang
Space-Based Electromagnetic Spectrum Sensing and Situation Awareness
Space: Science & Technology
title Space-Based Electromagnetic Spectrum Sensing and Situation Awareness
title_full Space-Based Electromagnetic Spectrum Sensing and Situation Awareness
title_fullStr Space-Based Electromagnetic Spectrum Sensing and Situation Awareness
title_full_unstemmed Space-Based Electromagnetic Spectrum Sensing and Situation Awareness
title_short Space-Based Electromagnetic Spectrum Sensing and Situation Awareness
title_sort space based electromagnetic spectrum sensing and situation awareness
url https://spj.science.org/doi/10.34133/space.0109
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