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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...

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Detalles Bibliográficos
Autores principales: Zhang, Zekai, Song, Shaoyang, Xu, Jingzehua, Wang, Ziyuan, Hou, Xiangwang, Zeng, Ming, Men, Wei, Ren, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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.
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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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