A highly-reliable buffer strategy based on long-term throughput prediction for mobile video streaming

Kenji Kanai, Konishi Hidenori, Yuya Ishizu, Jiro Katto

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

8 Citations (Scopus)

Abstract

Providing robust video streaming along with efficient wireless resource usage is necessary for mobile users, especially on subway, and mobile carriers. To achieve this, we propose a highly-reliable buffer strategy based on long-term throughput prediction. Our approach has two elements which are called 'long-term throughput prediction' and 'guaranteed playout buffer filling mechanism.' To avoid any video freeze due to network quality degradation, our approach calculates the optimal amount of playout buffer and schedules video download timing in a theoretical manner. We evaluate its performance via experiments in real environment. Evaluations conclude that our approach can provide highly-reliable video streaming and also achieve to reduce the average playout buffer size on the client.

Original languageEnglish
Title of host publication2015 12th Annual IEEE Consumer Communications and Networking Conference, CCNC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages677-682
Number of pages6
ISBN (Print)9781479963904
DOIs
Publication statusPublished - 2015 Jul 14
Event2015 12th Annual IEEE Consumer Communications and Networking Conference, CCNC 2015 - Las Vegas, United States
Duration: 2015 Jan 92015 Jan 12

Other

Other2015 12th Annual IEEE Consumer Communications and Networking Conference, CCNC 2015
CountryUnited States
CityLas Vegas
Period15/1/915/1/12

Fingerprint

Video streaming
Throughput
Subways
Degradation
Experiments

Keywords

  • modile user
  • playout buffer strategy
  • throughput prediction
  • transportation systems
  • video streaming

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Kanai, K., Hidenori, K., Ishizu, Y., & Katto, J. (2015). A highly-reliable buffer strategy based on long-term throughput prediction for mobile video streaming. In 2015 12th Annual IEEE Consumer Communications and Networking Conference, CCNC 2015 (pp. 677-682). [7158060] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCNC.2015.7158060

A highly-reliable buffer strategy based on long-term throughput prediction for mobile video streaming. / Kanai, Kenji; Hidenori, Konishi; Ishizu, Yuya; Katto, Jiro.

2015 12th Annual IEEE Consumer Communications and Networking Conference, CCNC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 677-682 7158060.

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

Kanai, K, Hidenori, K, Ishizu, Y & Katto, J 2015, A highly-reliable buffer strategy based on long-term throughput prediction for mobile video streaming. in 2015 12th Annual IEEE Consumer Communications and Networking Conference, CCNC 2015., 7158060, Institute of Electrical and Electronics Engineers Inc., pp. 677-682, 2015 12th Annual IEEE Consumer Communications and Networking Conference, CCNC 2015, Las Vegas, United States, 15/1/9. https://doi.org/10.1109/CCNC.2015.7158060
Kanai K, Hidenori K, Ishizu Y, Katto J. A highly-reliable buffer strategy based on long-term throughput prediction for mobile video streaming. In 2015 12th Annual IEEE Consumer Communications and Networking Conference, CCNC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 677-682. 7158060 https://doi.org/10.1109/CCNC.2015.7158060
Kanai, Kenji ; Hidenori, Konishi ; Ishizu, Yuya ; Katto, Jiro. / A highly-reliable buffer strategy based on long-term throughput prediction for mobile video streaming. 2015 12th Annual IEEE Consumer Communications and Networking Conference, CCNC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 677-682
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