Equal-volume quantization of mobile network data using bounding spheres and boxes

Environment modeling and abstraction of network states for cognitive functions

SS Mwanje, M Kajó, S Majumdar… - NOMS 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Cognitive Autonomous Networks (CANs) promise to overcome the shortcomings of current
Self-Organizing Network (SON) implementations, ie, the limited flexibility and adaptability to …
被引用次数：6 相关文章 所有 2 个版本
[PDF] arxiv.org

Neural Network-based Quantization for Network Automation

M Kajo, SS Mwanje, B Schultz, G Carle - arXiv preprint arXiv:2103.04764, 2021 - arxiv.org
Deep Learning methods have been adopted in mobile networks, especially for network
management automation where they provide means for advanced machine cognition. Deep …
相关文章 所有 2 个版本

Deep Clustering of Mobile Network Data with Sparse Autoencoders

M Kajó, B Schultz, G Carle - NOMS 2020-2020 IEEE/IFIP …, 2020 - ieeexplore.ieee.org
Unsupervised machine learning methods, such as clustering algorithms could be powerful
tools for automation. By simplifying data through structuring, these algorithms can help …
相关文章 所有 2 个版本