REQUEST: Seamless dynamic adaptive streaming over HTTP for multi-homed smartphone under resource constraints

  • Jonghoe Koo
  • , Juheon Yi
  • , Joongheon Kim
  • , Mohammad Ashraful Hoque
  • , Sunghyun Choi

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

29 Citations (Scopus)

Abstract

Exploiting both LTE and Wi-Fi links simultaneously enhances the performance of video streaming services in a smartphone. However, it is challenging to achieve seamless and high quality video while saving battery energy and LTE data usage to prolong the usage time of a smartphone. In this paper, we propose REQUEST, a video chunk request policy for Dynamic Adaptive Streaming over HTTP (DASH) in a smartphone, which can utilize both LTE and Wi-Fi. REQUEST enables seamless DASH video streaming with near optimal video quality under given budgets of battery energy and LTE data usage. Through extensive simulation and measurement in a real environment, we demonstrate that REQUEST significantly outperforms other existing schemes in terms of average video bitrate, rebuffering, and resource waste.

Original languageEnglish
Title of host publicationMM 2017 - Proceedings of the 2017 ACM Multimedia Conference
PublisherAssociation for Computing Machinery, Inc
Pages934-942
Number of pages9
ISBN (Electronic)9781450349062
DOIs
Publication statusPublished - 2017 Oct 23
Externally publishedYes
Event25th ACM International Conference on Multimedia, MM 2017 - Mountain View, United States
Duration: 2017 Oct 232017 Oct 27

Publication series

NameMM 2017 - Proceedings of the 2017 ACM Multimedia Conference

Conference

Conference25th ACM International Conference on Multimedia, MM 2017
Country/TerritoryUnited States
CityMountain View
Period17/10/2317/10/27

Bibliographical note

Publisher Copyright:
© 2017 Association for Computing Machinery.

Keywords

  • DASH
  • Energy
  • LTE
  • LTE data quota
  • Smartphone
  • Stochastic optimization
  • Video streaming
  • Wi-Fi

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Media Technology
  • Computer Vision and Pattern Recognition
  • Software

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