ocatak/MassiveMIMO-CSI-Dataset
A comprehensive Massive MIMO Channel State Information (CSI) dataset for research in next-generation wireless communication networks. This dataset supports applications in AI/ML, such as scenario classification, anomaly detection, and CSI prediction.
This dataset helps researchers develop and test AI/ML models for next-generation wireless communication networks like 5G and 6G. It provides realistic Channel State Information (CSI) data for various scenarios, which can be fed into machine learning algorithms to predict channel behavior or classify network conditions. Wireless communication researchers and AI/ML practitioners focused on smart wireless systems would find this valuable.
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Use this if you are a wireless communication researcher or an AI/ML practitioner working on 5G/6G networks and need realistic Channel State Information (CSI) data to train and benchmark your machine learning models for tasks like scenario classification, anomaly detection, or CSI prediction.
Not ideal if you are looking for a dataset for general machine learning tasks unrelated to wireless communication or if you do not have access to MATLAB or Python for data generation and analysis.
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MIT
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Last pushed
Jan 02, 2025
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