A hybrid CNN-transformer channel estimator that conditions attention on SNR, Doppler, and delay spread reduces MSE by up to 6 dB over prior deep learning baselines in simulated OFDM fading channels.
Channel estimation for OFDM,
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AdaFortiTran: An Adaptive Transformer Model for Robust OFDM Channel Estimation
A hybrid CNN-transformer channel estimator that conditions attention on SNR, Doppler, and delay spread reduces MSE by up to 6 dB over prior deep learning baselines in simulated OFDM fading channels.