Improvement of throughput prediction accuracy for video streaming in mobile environment

Hidenori Konishi, Kenji Kanai, Jiro Katto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

With the increasing demand for video streaming in mobile environment, we have been tackling a research on throughput prediction based on the measurement history data in order to improve service quality[1][2]. Since throughput fluctuation occurs sharply in mobile environment, useless packet loss or congestion occurs when available network bandwidth is insufficient compared to the bit rate of video contents. Hence, it is possible to improve the quality of service by deducing the available throughput and selecting appropriate bit rate for the video contents. In this paper, we propose a throughput prediction method that considers mobile locations of a train and their throughput history and show promising experimental results.

Original languageEnglish
Title of host publication2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages749-750
Number of pages2
ISBN (Print)9781479951451
DOIs
Publication statusPublished - 2014 Feb 3
Event2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014 - Tokyo, Japan
Duration: 2014 Oct 72014 Oct 10

Other

Other2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014
CountryJapan
CityTokyo
Period14/10/714/10/10

Keywords

  • mobile environment
  • throughput prediction

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Konishi, H., Kanai, K., & Katto, J. (2014). Improvement of throughput prediction accuracy for video streaming in mobile environment. In 2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014 (pp. 749-750). [7031099] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCCE.2014.7031099