Multiuser video streaming rate adaptation: A physical layer resource-Aware deep reinforcement learning approach

Kexin Tang, Nuowen Kan, Junni Zou, Xiao Fu, Mingyi Hong, Hongkai Xiong

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

Abstract

In this paper, we propose a cross-layer decision framework for multiuser adaptive video delivery over time-varying and mutually interfering wireless cellular network. The key idea is to synthetically design the physical-layer optimization-based beamforming scheme (performed at the base stations) and the application-layer deep reinforcement learning (DRL)-based rate adaptation scheme (performed at the user terminals), so that a very complex multi-user overall fair long-Term quality of experience (QoE) maximization problem can be decomposed to two layers and solved effectively. Extensive simulations show that the proposed cross-layer design is effective and promising.

Original languageEnglish (US)
Title of host publication2019 IEEE International Conference on Visual Communications and Image Processing, VCIP 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728137230
DOIs
StatePublished - Dec 2019
Externally publishedYes
Event34th IEEE International Conference on Visual Communications and Image Processing, VCIP 2019 - Sydney, Australia
Duration: Dec 1 2019Dec 4 2019

Publication series

Name2019 IEEE International Conference on Visual Communications and Image Processing, VCIP 2019

Conference

Conference34th IEEE International Conference on Visual Communications and Image Processing, VCIP 2019
CountryAustralia
CitySydney
Period12/1/1912/4/19

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Keywords

  • Wireless video streaming
  • beamforming
  • cross-layer design
  • deep reinforcement learning
  • rate adaptation

Cite this

Tang, K., Kan, N., Zou, J., Fu, X., Hong, M., & Xiong, H. (2019). Multiuser video streaming rate adaptation: A physical layer resource-Aware deep reinforcement learning approach. In 2019 IEEE International Conference on Visual Communications and Image Processing, VCIP 2019 [8965912] (2019 IEEE International Conference on Visual Communications and Image Processing, VCIP 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VCIP47243.2019.8965912