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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 i...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675620/ https://www.ncbi.nlm.nih.gov/pubmed/38005594 http://dx.doi.org/10.3390/s23229207 |
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author | Zhang, Zekai Song, Shaoyang Xu, Jingzehua Wang, Ziyuan Hou, Xiangwang Zeng, Ming Men, Wei Ren, Yong |
author_facet | Zhang, Zekai Song, Shaoyang Xu, Jingzehua Wang, Ziyuan Hou, Xiangwang Zeng, Ming Men, Wei Ren, Yong |
author_sort | Zhang, Zekai |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10675620 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106756202023-11-16 Comprehensive Simulation Framework for Space–Air–Ground Integrated Network Propagation Channel Research Zhang, Zekai Song, Shaoyang Xu, Jingzehua Wang, Ziyuan Hou, Xiangwang Zeng, Ming Men, Wei Ren, Yong Sensors (Basel) Article 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. MDPI 2023-11-16 /pmc/articles/PMC10675620/ /pubmed/38005594 http://dx.doi.org/10.3390/s23229207 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Zekai Song, Shaoyang Xu, Jingzehua Wang, Ziyuan Hou, Xiangwang Zeng, Ming Men, Wei Ren, Yong Comprehensive Simulation Framework for Space–Air–Ground Integrated Network Propagation Channel Research |
title | Comprehensive Simulation Framework for Space–Air–Ground Integrated Network Propagation Channel Research |
title_full | Comprehensive Simulation Framework for Space–Air–Ground Integrated Network Propagation Channel Research |
title_fullStr | Comprehensive Simulation Framework for Space–Air–Ground Integrated Network Propagation Channel Research |
title_full_unstemmed | Comprehensive Simulation Framework for Space–Air–Ground Integrated Network Propagation Channel Research |
title_short | Comprehensive Simulation Framework for Space–Air–Ground Integrated Network Propagation Channel Research |
title_sort | comprehensive simulation framework for space–air–ground integrated network propagation channel research |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675620/ https://www.ncbi.nlm.nih.gov/pubmed/38005594 http://dx.doi.org/10.3390/s23229207 |
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