PLEASE DO REALIZE THERE IS A IMPLEMENTATION DELAY OF 7 SAMPLES FOR BOTH MATLAB LTE AND CDL CHANNELS!! PLEASE READ THROUGH THE OFFICIAL MATLAB PAGES.
Code for "Achieving Robust Generalization for Wireless Channel Estimation Neural Networks by Designed Training Data" accepted by ICC 2023.
Cite as
@INPROCEEDINGS{10279223,
author={Luan, Dianxin and Thompson, John},
booktitle={ICC 2023 - IEEE International Conference on Communications},
title={Achieving Robust Generalization for Wireless Channel Estimation Neural Networks by Designed Training Data},
year={2023},
volume={},
number={},
pages={3462-3467},
keywords={Training;Wireless communication;Simulation;Design methodology;OFDM;Neural networks;Memory management;Channel estimation;generalization;attention mechanism;deep learning;orthogonal frequency-division multiplexing (OFDM)},
doi={10.1109/ICC45041.2023.10279223}}
The designed training and validation dataset for default pattern are provided in https://datasync.ed.ac.uk/index.php/s/HZ1Xry9TUeDxK2P. Passcode: ICC2023
Please feel free to test and use this training dataset which can achieve robust generalization.