TRUST: A TCP Throughput Prediction Method in Mobile Networks

Bo Wei, Wataru Kawakami, Kenji Kanai, Jiro Katto, Shangguang Wang

研究成果: Conference contribution

4 引用 (Scopus)

抜粋

Throughput prediction is essential for ensuring high quality of service for video streaming transmissions. However, current methods are incapable of accurately predicting throughput in mobile networks, especially for moving user scenarios. Therefore, we propose a TCP throughput prediction method TRUST using machine learning for mobile networks. TRUST has two stages: user movement pattern identification and throughput prediction. In the prediction stage, the long short-term memory (LSTM) model is employed for TCP throughput prediction. TRUST takes all the communication quality factors, sensor data and scenario information into consideration. Field experiments are conducted to evaluate TRUST in various scenarios. The results indicate that TRUST can predict future throughput with higher accuracy than the conventional methods, which decreases the throughput prediction error by maximum 44% under the moving bus scenario.

元の言語English
ホスト出版物のタイトル2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings
出版者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538647271
DOI
出版物ステータスPublished - 2019 2 20
イベント2018 IEEE Global Communications Conference, GLOBECOM 2018 - Abu Dhabi, United Arab Emirates
継続期間: 2018 12 92018 12 13

出版物シリーズ

名前2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings

Conference

Conference2018 IEEE Global Communications Conference, GLOBECOM 2018
United Arab Emirates
Abu Dhabi
期間18/12/918/12/13

ASJC Scopus subject areas

  • Information Systems and Management
  • Renewable Energy, Sustainability and the Environment
  • Safety, Risk, Reliability and Quality
  • Signal Processing
  • Modelling and Simulation
  • Instrumentation
  • Computer Networks and Communications

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  • これを引用

    Wei, B., Kawakami, W., Kanai, K., Katto, J., & Wang, S. (2019). TRUST: A TCP Throughput Prediction Method in Mobile Networks. : 2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings [8647390] (2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2018.8647390