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Abstract: This paper proposes a quantization-aware deep learning (DL)-based channel estimation algorithm for orthogonal frequency-division multiplexing (OFDM) systems under varying effective number of ...

Abstract: To combat the Doppler shift caused by high mobility, orthogonal time frequency space (OTFS) systems have been proposed to convert the timevarying channel into a nearly time-invariant channel ...

This repository contains the complete codebase for training and evaluating energy-based diffusion models for molecular dynamics simulations. Our approach enables a single model to perform both ...