作者
Natsuhiko Sato, Takashi Oshiba, Kousuke Nogami, Anan Sawabe, Kozo Satoda
发表日期
2017/7/3
研讨会论文
2017 IEEE Symposium on Computers and Communications (ISCC)
页码范围
339-346
出版商
IEEE
简介
We propose PathML, an available bandwidth (i.e., unused capacity of an end-to-end path) estimation method based on a data-driven paradigm that uses machine learning with a large amount of data. An experiment over an operational LTE network was performed to compare our method with prior work.
学术搜索中的文章
N Sato, T Oshiba, K Nogami, A Sawabe, K Satoda - 2017 IEEE Symposium on Computers and …, 2017