abdulkarimgizzini/Temporal-Averaging-LSTM-based-Channel-Estimation-Scheme-for-IEEE-802.11p-Standard
This repository includes the source code of the LSTM-based channel estimators proposed in "Temporal Averaging LSTM-based Channel Estimation Scheme for IEEE 802.11 p Standard" paper that is published in the proceedings of the IEEE GLOBECOM 2022 conference that was held in Madrid (Spain).
This project helps wireless communication engineers and researchers improve the reliability of data transmission in rapidly changing environments, like those experienced by connected vehicles. It takes in simulated wireless channel data for IEEE 802.11p (the standard for vehicular communication) and uses it to train and test advanced channel estimation models. The output provides performance metrics like Bit Error Rate (BER) and Normalized Mean Square Error (NMSE) for these models, enabling users to evaluate and compare different estimation schemes.
Use this if you are a wireless communication engineer or researcher working on channel estimation for vehicular networks (IEEE 802.11p) and want to evaluate LSTM-based methods against traditional techniques.
Not ideal if you are looking for a plug-and-play solution for real-time channel estimation on live hardware, as this project focuses on simulation and model evaluation.
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MATLAB
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GPL-3.0
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Last pushed
Jan 28, 2026
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