6DOF Virtual Reality Dataset and Performance Evaluation of Millimeter Wave vs. Free-Space-Optical Indoor Communications Systems for Lifelike Mobile VR Streaming

Jacob Chakareski, Mahmudur Khan, Tanguy Ropitault, Steve Blandino

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

9 Scopus citations

Abstract

Dual-connectivity streaming can be a key enabler of next generation 6 Degrees Of Freedom (DOF) Virtual Reality (VR) scene immersion. Indeed, using conventional sub-6 GHz WiFi allows to reliably stream a lower-quality baseline representation of the VR content while emerging communication technologies allow to stream in parallel a high-quality user viewport-specific enhancement representation that synergistically integrates with the baseline representation to deliver high-quality VR immersion. In this paper, we evaluate two candidates emerging technologies, Free Space Optics (FSO) and millimeter-Wave (mmWave), which both offer unprecedented available spectrum and data rates. We formulate an optimization problem to maximize the delivered immersion fidelity of the envisioned dual-connectivity 6DOF VR streaming, which depends on the WiFi and mmWave/FSO link rates, and the computing capabilities of the server and the user's VR headset. The problem is mixed integer programming and we formulate an optimization framework that captures the optimal solution at lower complexity. To evaluate the performance of the proposed systems, we collect actual 6DOF measurements. Our results demonstrate that both FSO and mmWave technologies can enable streaming of 8K-120 frames-per-second (fps) 6DOF content at high fidelity.

Original languageEnglish (US)
Title of host publicationConference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages1051-1058
Number of pages8
ISBN (Electronic)9780738131269
DOIs
StatePublished - Nov 1 2020
Event54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020 - Pacific Grove, United States
Duration: Nov 1 2020Nov 5 2020

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2020-November
ISSN (Print)1058-6393

Conference

Conference54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020
Country/TerritoryUnited States
CityPacific Grove
Period11/1/2011/5/20

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of '6DOF Virtual Reality Dataset and Performance Evaluation of Millimeter Wave vs. Free-Space-Optical Indoor Communications Systems for Lifelike Mobile VR Streaming'. Together they form a unique fingerprint.

Cite this