A dictionary-based linearization of the geometric channel model lets a VAE generate physically valid, interpretable wireless channels with better distribution fidelity than prior generative baselines.
Channel parameter estimation in wireless communica- tion: A deep learning perspective
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Physics-based Generative Models for Geometrically Consistent and Interpretable Wireless Channel Synthesis
A dictionary-based linearization of the geometric channel model lets a VAE generate physically valid, interpretable wireless channels with better distribution fidelity than prior generative baselines.