A self-supervised pre-trained neural network with multi-domain channel embedding and self-attention is proposed to create realistic wireless channel models combining deterministic accuracy and stochastic uniformity.
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Realistic Channel Models Pre-training
A self-supervised pre-trained neural network with multi-domain channel embedding and self-attention is proposed to create realistic wireless channel models combining deterministic accuracy and stochastic uniformity.