作者
Angel Martin, Jon Egaña, Julián Flórez, Jon Montalbán, Igor G Olaizola, Marco Quartulli, Roberto Viola, Mikel Zorrilla
发表日期
2018/6
期刊
IEEE Transactions on Broadcasting
卷号
64
期号
2
页码范围
561-574
出版商
IEEE
简介
The explosion in the variety and volume of video services makes bandwidth and latency performance of networks more critical to the user experience. The media industry's response, HTTP-based Adaptive Streaming technology, offers media players the possibility to dynamically select the most appropriate bitrate according to the connectivity performance. Moving forward, the telecom industry's move is 5G. 5G aims efficiency by dynamic network optimization to make maximum use of the resources to get as high capacity and Quality of Service (QoS) as possible. These networks will be based on software defined networking (SDN) and network function virtualization (NFV) techniques, enabling self-management functions. Here, machine learning is a key technology to reach this 5G vision. On top of machine learning, SDN and NFV, this paper provides a network resource allocator system as the main contribution which …
引用总数
20192020202120222023202416162720152
学术搜索中的文章
A Martin, J Egaña, J Flórez, J Montalban, IG Olaizola… - IEEE Transactions on Broadcasting, 2018