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Double-Directional Wireless Channel Modeling Using Statistics-Aided Machine Learning

arXiv:2606.05993v1 Announce Type: new Abstract: The double-directional (DD) wireless channel model is important for realistic system design since it provides complete propagation information. While stochastic and deterministic channel models are widely adopted, and existing machine learning (ML) solutions mostly aim to align future channel realizations, these solutions are often limited to short time spans that may not be statistically significant.

arXiv CS 5d ago