TY - JOUR
T1 - Comprehensive Simulation Framework for Space–Air–Ground Integrated Network Propagation Channel Research
AU - Zhang, Zekai
AU - Song, Shaoyang
AU - Xu, Jingzehua
AU - Wang, Ziyuan
AU - Hou, Xiangwang
AU - Zeng, Ming
AU - Men, Wei
AU - Ren, Yong
N1 - Publisher Copyright:
© 2023 by the authors.
PY - 2023/11
Y1 - 2023/11
N2 - 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.
AB - 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.
KW - QuaDRiGa
KW - propagation channel research
KW - satellite channel simulation platform
KW - scenario identification
KW - space–air–ground integrated network
UR - http://www.scopus.com/inward/record.url?scp=85177801275&partnerID=8YFLogxK
U2 - 10.3390/s23229207
DO - 10.3390/s23229207
M3 - Article
C2 - 38005594
AN - SCOPUS:85177801275
SN - 1424-8220
VL - 23
JO - Sensors
JF - Sensors
IS - 22
M1 - 9207
ER -