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Type | Star | Title | Description | Paper_URL | Dataset_URL | |
---|---|---|---|---|---|---|
(arxiv) | (Kaggle/Zenodo) | |||||
Networking | ||||||
WiFi | Toward More Reliable Deep Learning-Based Link Adaptation for WiFi 6 | |||||
SMART - Self-adaptive Machine Learning Approach for Real-time Tuning of IEEE 802.11 PHY and MAC layers | https://zenodo.org/record/6394799#.Y3wtZ3ZBxPY | |||||
LoRa | LoED: The LoRaWAN at the Edge Dataset | https://zenodo.org/record/4121430#.Y3wzU3ZBxPY | ||||
* | Environmental Impact on the Long-Term Connectivity and Link Quality of an Outdoor LoRa Network | |||||
NB-IoT | Deep Learning Anomaly Detection for Cellular IoT With Applications in Smart Logistics | https://arxiv.org/abs/2102.08936 | https://zenodo.org/record/4686782#.Y3w2OHZBxPY | |||
3G/4G/5G | ||||||
* | Anomaly detection in 4G cellular networks | https://www.kaggle.com/competitions/anomaly-detection-in-4g-cellular-networks | ||||
Beyond throughput: a 4G LTE dataset with channel and context metrics | https://www.kaggle.com/datasets/aeryss/lte-dataset | |||||
Network Slicing Recognition | https://www.kaggle.com/datasets/gauravduttakiit/network-slicing-recognition | |||||
O-RAN |
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