Improvement of throughput prediction accuracy for video streaming in mobile environment

Hidenori Konishi; Kenji Kanai; Jiro Katto

doi:10.1109/GCCE.2014.7031099

Improvement of throughput prediction accuracy for video streaming in mobile environment

Hidenori Konishi^*, Kenji Kanai, Jiro Katto

^*Corresponding author for this work

Waseda Research Institute for Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	749-750
Number of pages	2
ISBN (Print)	9781479951451
DOIs	https://doi.org/10.1109/GCCE.2014.7031099
Publication status	Published - 2014 Feb 3
Event	2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014 - Tokyo, Japan Duration: 2014 Oct 7 → 2014 Oct 10

Other

Other	2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014
Country/Territory	Japan
City	Tokyo
Period	14/10/7 → 14/10/10

Keywords

mobile environment
throughput prediction

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/GCCE.2014.7031099

Cite this

Improvement of throughput prediction accuracy for video streaming in mobile environment. / Konishi, Hidenori; Kanai, Kenji ; Katto, Jiro.

2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 749-750 7031099.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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., 7031099, Institute of Electrical and Electronics Engineers Inc., pp. 749-750, 2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014, Tokyo, Japan, 14/10/7. https://doi.org/10.1109/GCCE.2014.7031099

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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.",

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AB - 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.

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Improvement of throughput prediction accuracy for video streaming in mobile environment

Abstract

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Keywords

ASJC Scopus subject areas

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