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Realtime mobile bandwidth prediction using LSTM neural network and Bayesian fusion

  • Published:2020-12 Issue: Volume:182 Page:107515
  • ISSN:1389-1286
  • Container-title:Computer Networks
  • language:en
  • Short-container-title:Computer Networks

Author:

Mei LifanORCID,Hu Runchen,Cao Houwei,Liu Yong,Han Zifan,Li Feng,Li Jin

Funder

Huawei Technologies

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference29 articles.

1. Using random shape theory to model blockage in random cellular networks;Bai,2012

2. Analysis of blockage effects on urban cellular networks;Bai;IEEE Trans. Wireless Commun.,2014

3. Towards agile and smooth video adaptation in dynamic HTTP streaming;Tian,2012

4. A control-theoretic approach for dynamic adaptive video streaming over HTTP;Yin,2015

5. CS2P: Improving video bitrate selection and adaptation with data-driven throughput prediction;Sun,2016

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