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Toward guaranteed video experience: Service-aware downlink resource allocation in mobile edge networks

  • Georgia State University
  • Hong Kong Polytechnic University
  • University of California at Santa Cruz

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Video delivery has been playing an essential role in video services over edge networks. Although HTTP segment-based streaming, e.g., Dynamic Adaptive Streaming over HTTP (DASH), has become the prevailing technique, it cannot provide guaranteed video playback in terms of bitrate to mobile users. In essence, HTTP streaming downloads the video segments in a best effort fashion, i.e., passively responding to the channel dynamics. This can cause unstable playback with frequent rebuffer and multi-client competition that degrades a network-wide performance. In this paper, we present a network-assisted streaming framework for Guaranteed Playback-Experience Streaming over HTTP (GESH) that leverages the proactive control of network resources and joint coordination among multiple clients for service-aware network resource allocation. Specifically, GESH is empowered by a new weighted proportional fair scheduling without modifying existing cellular infrastructure, a per-segment channel variation model, and a suite of algorithms to seek the optimal weights for the scheduling. Extensive evaluations show that GESH can maximally guarantee the video playback of multiple users, as well as significantly outperforming conventional HTTP streaming and current DASH systems.

Original languageEnglish
Article number8395264
Pages (from-to)1819-1831
Number of pages13
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume29
Issue number6
DOIs
StatePublished - Jun 2019

Keywords

  • Guaranteed playback
  • HTTP video streaming
  • Mobile edge networks
  • Resource allocation

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