Experimental comparison of machine learning-based available bandwidth estimation methods over operational LTE networks

N Sato, T Oshiba, K Nogami… - … IEEE Symposium on …, 2017 - ieeexplore.ieee.org
We propose PathML, an available bandwidth (ie, unused capacity of an end-to-end path)
estimation method based on a data-driven paradigm that uses machine learning with a large …
被引用次数：27 相关文章

Experimental comparison of machine learning-based available bandwidth estimation methods over operational LTE networks

N Sato, T Oshiba, K Nogami, A Sawabe… - 2017 IEEE Symposium …, 2017 - computer.org
Most of the existing methods for generating a visual dictionary SIFT based on local
characteristics, and adopt the common K-means clustering method to get the visual …
[PDF] github.io

[PDF][PDF] Experimental Comparison of Machine Learning-Based Available Bandwidth Estimation Methods over Operational LTE Networks

N Sato, T Oshiba, K Nogami, A Sawabe, K Satoda - takashioshiba.github.io
We propose PathML, an available bandwidth (ie, unused capacity of an end-to-end path)
estimation method based on a data-driven paradigm that uses machine learning with a large …