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About this paper
Fredrik Nguyen, Qiwen Wang
The paper develops a one-evaluation channel estimator for pilot-contaminated MIMO-OFDM, training neighboring noisy-to-clean predictions to agree and using a frozen flow-matching teacher’s trajectory to train a compact student. In simulations, Mini CMT reduces symbol error rate by 9.6–20.2% versus one-step Lite flow matching across five SNRs, but results use QPSK and oracle covariance, with no measured runtime gains.
Summary by alphaXiv.
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