abdulkarimgizzini/CNN-Aided-Weighted-Interpolation-for-Channel-Estimation-in-Vehicular-Communications
This repository includes the source code of the CNN-based channel estimators proposed in "CNN Aided Weighted Interpolation for Channel Estimation in Vehicular Communications" paper [1] that is published in the IEEE Transactions on Vehicular Technology, 2021.
This project helps wireless communication researchers and engineers evaluate advanced channel estimation techniques for vehicular communication systems. It takes raw simulation data from OFDM transmissions in various mobility scenarios and processes it using CNN-based methods. The output provides key performance metrics like Bit Error Rate (BER) and Normalized Mean Square Error (NMSE) for the channel estimation.
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Use this if you are a researcher or engineer working on channel estimation in vehicular communications and need to compare CNN-aided weighted interpolation schemes.
Not ideal if you are looking for a plug-and-play solution for live vehicular communication systems or a general-purpose machine learning library.
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Mar 19, 2024
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