Electromagnetic situation awareness and modeling for space-air-ground integrated networks

Area of Science:

• Electrical Engineering
• Computer Science
• Network Engineering

Background:

• Space-air-ground integrated networks (SAGINs) are increasingly complex, demanding more spectrum resources.
• This complexity creates a challenging complex electromagnetic environment (CEME) that requires advanced management and modeling.

Purpose of the Study:

• To provide a comprehensive review of electromagnetic situation awareness and modeling in SAGINs.
• To propose a novel modeling method for dynamic CEME analysis.
• To identify future research directions in electromagnetic environment sensing and modeling.

Main Methods:

• Summarizing the evolution of spectrum situation awareness and AI applications.
• Developing a spectrum situation map for CEME analysis.
• Establishing CEME models for diverse SAGIN scenarios, including attenuation and interference.

Main Results:

• A comprehensive review of electromagnetic situation awareness and modeling techniques.
• A proposed modeling method for dynamic CEME analysis in SAGINs.
• Identification of key factors like attenuation and interference for CEME modeling.

Conclusions:

• The study offers new insights into electromagnetic environment sensing and modeling for SAGINs.
• Future research should focus on technology development, specific communication scenarios, and covert communication.
• Effective CEME modeling is crucial for advancing SAGIN capabilities.