EMFusion: Conditional Diffusion Framework for Trustworthy Frequency Selective EMF Forecasting in Wireless Networks

This article introduces EMFusion, a conditional diffusion framework for forecasting electromagnetic field (EMF) in wireless networks. The focus on 'trustworthy' forecasting suggests a concern for accuracy and reliability, which is crucial in applications like network planning and interference management. The use of a 'conditional diffusion framework' indicates the application of advanced AI techniques, likely involving generative models. The specific application to frequency-selective EMF forecasting highlights the practical relevance of the research.

• •EMFusion is a new framework for EMF forecasting.
• •It uses a conditional diffusion framework, suggesting advanced AI techniques.
• •The focus is on trustworthy and frequency-selective forecasting, implying practical applications in wireless networks.