Viewpoint Prediction and Uplink Retransmission for Wireless Virtual Reality (VR) Network

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

Wireless Virtual Reality (VR) users are able to enjoy immersive experience from anywhere at anytime. However, providing full spherical VR video with high quality under limited VR interaction latency is challenging. If the viewpoint of the VR user can be predicted in advance, only the required viewpoint is needed to be rendered and delivered, which can reduce the VR interaction latency. Therefore, in this paper, we use online learning algorithms to predict viewpoint of the VR user using real VR dataset. For the online learning algorithm, based on the VR user's actual viewpoint delivered through uplink transmission, we compare it with the predicted viewpoint and update the parameters of the online learning algorithm to further improve the prediction accuracy. To guarantee the reliability of the uplink transmission, we integrate the Proactive retransmission scheme into our proposed online learning algorithm. Simulation results show that the online learning algorithm integrated with the proactive retransmission scheme can achieve about 5% prediction error.

Original languageEnglish
Title of host publicationIEEE International Conference on Communications (ICC)
ISBN (Electronic)978-1-7281-7122-7
DOIs
Publication statusPublished - Jun 2021
Event2021 IEEE International Conference on Communications, ICC 2021 - Virtual, Online, Canada
Duration: 14 Jun 202123 Jun 2021

Conference

Conference2021 IEEE International Conference on Communications, ICC 2021
Country/TerritoryCanada
CityVirtual, Online
Period14/06/202123/06/2021

Keywords

  • online learning
  • uplink retransmission
  • Viewpoint prediction
  • virtual reality (VR)

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