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Submission Deadline: April 30, 2026

AI-Enabled Propagation Measurement, Channel Modeling, and Electromagnetic Environment Sensing

Aims & Scope:

Next-generation communication network aims to integrate both terrestrial and aerial platforms, which exhibit unique characteristics such as highly dynamic three-dimensional (3D) topologies, frequent scene transitions, and altitude-dependent propagation behaviors. These features pose new challenges to radio propagation measurements, channel modeling, and electromagnetic environment sensing to enable robust communication and networking. Traditional measurement, modeling, and sensing approaches exhibit limited capability to characterize and capture the dynamic and complex electromagnetic. In contrast, artificial intelligence (AI)-enabled methods offer powerful tools for learning and generalizing scenario-dependent and altitude-dependent propagation behaviors and electromagnetic environment variations.

This special section aims to provide advanced topics about the propagation channel and electromagnetic environment sensing, to foster the development of new technologies, standardizations, and real-world deployment. By bridging these technologies, this section seeks to promote impactful contributions to both the scientific community and practical deployments.

Potential topics include but are not limited to the following:

  • Advanced channel sounding techniques for large spaces
  • Measurement-based channel characterizations for diverse scenarios
  • AI-enabled ground-to-ground, air-to-air, and air-to-ground channel modeling methodologies
  • Real-time propagation channel emulation for 3D dynamic scenarios
  • Intelligent electromagnetic awareness, positioning, and tracking technologies
  • Intelligent electromagnetic environment sensing technologies
  • 3D spectrum mapping technologies via AI technologies
  • Applications of low-altitude channel models and sensing technologies

Keywords:

  1. 3D space
  2. Artificial Intelligence
  3. Channel sounding
  4. Channel modeling
  5. Electromagnetic environment sensing
  6. Spectrum mapping

Lead Guest Editor:

Qiuming Zhu
Nanjing University of Aeronautics and Astronautics, China
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Guest Editors:

Carlos A. Gutierrez
Universidad Autonoma de San Luis Potosi, Mexico
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Shu Sun
Shanghai Jiao Tong University, China
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Kai Mao
Université Gustave Eiffel, France
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Andrés Alayón Glazunov
Linköping University, Sweden
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