Unsupervised learning for detection of mobility related anomalies in commercial LTE networks

Author:

Moysen Jessica,Ahmed Furqan,Garcia-Lozano Mario,Niemela Jarno

Publisher

IEEE

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. AnDet: ML-Based Anomaly Detection of UEs in a Multi-cell B5G Mobile Network for Improved QoS;2024 International Conference on Computing, Networking and Communications (ICNC);2024-02-19

2. A Low-Complexity Handover Scheme Using Unsupervised Learning Techniques for 6G Multi-Networking;2023 2nd International Conference on 6G Networking (6GNet);2023-10-18

3. Mobile Networks Classification Based on Time-Series Clustering;2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE);2022-12-16

4. Network Traffic Anomaly Prediction for Beyond 5G Networks;2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC);2022-09-12

5. A Machine Learning-Driven Analysis of Phantom E911 Calls;Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning;2022-05-16

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