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...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
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MDPI AG
2023-11-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/23/22/9207 |
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author | Zekai Zhang Shaoyang Song Jingzehua Xu Ziyuan Wang Xiangwang Hou Ming Zeng Wei Men Yong Ren |
author_facet | Zekai Zhang Shaoyang Song Jingzehua Xu Ziyuan Wang Xiangwang Hou Ming Zeng Wei Men Yong Ren |
author_sort | Zekai Zhang |
collection | DOAJ |
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. |
first_indexed | 2024-03-09T16:27:25Z |
format | Article |
id | doaj.art-6385a3e85224453591455f8b43911c52 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-09T16:27:25Z |
publishDate | 2023-11-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-6385a3e85224453591455f8b43911c522023-11-24T15:05:45ZengMDPI AGSensors1424-82202023-11-012322920710.3390/s23229207Comprehensive Simulation Framework for Space–Air–Ground Integrated Network Propagation Channel ResearchZekai Zhang0Shaoyang Song1Jingzehua Xu2Ziyuan Wang3Xiangwang Hou4Ming Zeng5Wei Men6Yong Ren7Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, ChinaYangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing 314000, ChinaTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, ChinaDepartment of Electronic Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Electronic Engineering, Tsinghua University, Beijing 100084, ChinaSchool of Information and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaDepartment of Electronic Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Electronic Engineering, Tsinghua University, Beijing 100084, ChinaThe 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.https://www.mdpi.com/1424-8220/23/22/9207space–air–ground integrated networkpropagation channel researchscenario identificationQuaDRiGasatellite channel simulation platform |
spellingShingle | Zekai Zhang Shaoyang Song Jingzehua Xu Ziyuan Wang Xiangwang Hou Ming Zeng Wei Men Yong Ren Comprehensive Simulation Framework for Space–Air–Ground Integrated Network Propagation Channel Research Sensors space–air–ground integrated network propagation channel research scenario identification QuaDRiGa satellite channel simulation platform |
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 | space–air–ground integrated network propagation channel research scenario identification QuaDRiGa satellite channel simulation platform |
url | https://www.mdpi.com/1424-8220/23/22/9207 |
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