Comprehensive Simulation Framework for Space–Air–Ground Integrated Network Propagation Channel Research

Zekai Zhang, Shaoyang Song, Jingzehua Xu, Ziyuan Wang, Xiangwang Hou, Ming Zeng, Wei Men*, Yong Ren

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article number9207
JournalSensors
Volume23
Issue number22
DOIs
Publication statusPublished - Nov 2023

Keywords

  • QuaDRiGa
  • propagation channel research
  • satellite channel simulation platform
  • scenario identification
  • space–air–ground integrated network

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