Comprehensive Simulation Framework for Space-Air-Ground Integrated Network Propagation Channel Research
The space-air-ground integrated network (SAGIN) represents a pivotal component within the realm of next-generation mobile communication technologies, owing to its established reliability and adaptable coverage capabilities. Central to the advancement of SAGIN is propagation channel research due to its critical role in aiding network system design and resource deployment. Nevertheless, real-world propagation channel research faces challenges in data collection, deployment, and testing. Consequently, this paper designs a comprehensive simulation framework tailored to facilitate SAGIN propagation channel research. The framework integrates the open source QuaDRiGa platform and the self-developed satellite channel simulation platform to simulate communication channels across diverse scenarios, and also integrates data processing, intelligent identification, algorithm optimization modules in a modular way to process the simulated data. We also provide a case study of scenario identification, in which typical channel features are extracted based on channel impulse response (CIR) data, and recognition models based on different artificial intelligence algorithms are constructed and compared.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:23 |
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| Enthalten in: |
Sensors (Basel, Switzerland) - 23(2023), 22 vom: 16. Nov. |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Zhang, Zekai [VerfasserIn] |
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| Links: |
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| Themen: |
Journal Article |
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| Anmerkungen: |
Date Revised 27.11.2023 published: Electronic Citation Status PubMed-not-MEDLINE |
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| doi: |
10.3390/s23229207 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM364968117 |
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| 520 | |a The space-air-ground integrated network (SAGIN) represents a pivotal component within the realm of next-generation mobile communication technologies, owing to its established reliability and adaptable coverage capabilities. Central to the advancement of SAGIN is propagation channel research due to its critical role in aiding network system design and resource deployment. Nevertheless, real-world propagation channel research faces challenges in data collection, deployment, and testing. Consequently, this paper designs a comprehensive simulation framework tailored to facilitate SAGIN propagation channel research. The framework integrates the open source QuaDRiGa platform and the self-developed satellite channel simulation platform to simulate communication channels across diverse scenarios, and also integrates data processing, intelligent identification, algorithm optimization modules in a modular way to process the simulated data. We also provide a case study of scenario identification, in which typical channel features are extracted based on channel impulse response (CIR) data, and recognition models based on different artificial intelligence algorithms are constructed and compared | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a QuaDRiGa | |
| 650 | 4 | |a propagation channel research | |
| 650 | 4 | |a satellite channel simulation platform | |
| 650 | 4 | |a scenario identification | |
| 650 | 4 | |a space–air–ground integrated network | |
| 700 | 1 | |a Song, Shaoyang |e verfasserin |4 aut | |
| 700 | 1 | |a Xu, Jingzehua |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Ziyuan |e verfasserin |4 aut | |
| 700 | 1 | |a Hou, Xiangwang |e verfasserin |4 aut | |
| 700 | 1 | |a Zeng, Ming |e verfasserin |4 aut | |
| 700 | 1 | |a Men, Wei |e verfasserin |4 aut | |
| 700 | 1 | |a Ren, Yong |e verfasserin |4 aut | |
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