ocatak/6g-channel-estimation-dataset
6G Wireless Communication Security - Deep Learning Based Channel Estimation Dataset
This project provides a dataset and method to secure deep learning models used for wireless signal processing in next-generation cellular networks (like 6G). It helps protect channel estimation models from adversarial attacks by making them more robust. Researchers and engineers working on wireless communication security can use this to develop and test defenses against malicious data inputs.
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Use this if you are developing or evaluating deep learning models for wireless channel estimation in 5G/6G networks and need to assess their vulnerability to adversarial attacks or implement defense mechanisms.
Not ideal if you are looking for a general-purpose dataset for training deep learning models unrelated to wireless communication or channel estimation.
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Sep 28, 2022
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