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Edge computing meets millimeter-wave enabled VR : paving the way to cutting the cord |
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| Author: | Elbamby, Mohammed S.1; Perfecto, Cristina2; Bennis, Mehdi1; |
| Organizations: |
1Centre for Wireless Communications, University of Oulu 2University of the Basque Country (UPV/EHU) 3Nokia Bell Labs |
| Format: | article |
| Version: | accepted version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 0.3 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe2018090334418 |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers,
2018
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| Publish Date: | 2018-09-03 |
| Description: |
AbstractIn this paper, a novel proactive computing and mmWave communication for ultra-reliable and low latency wireless virtual reality (VR is proposed. By leveraging information about users’ poses, proactive computing and caching are used to pre-compute and store users’ HD video frames to minimize the computing latency. Furthermore, multi-connectivity is exploited to ensure reliable mmWave links to deliver users’ requested HD frames. The performance of the proposed approach is validated on a VR network serving an interactive gaming arcade, where dynamic and real-time rendering of HD video frames is needed and impulse actions of different players impact the content to be shown. Simulation results show significant gains of up to 30% reduction in end-to-end delay and 50% in the 90 th percentile communication delay. see all
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| Series: |
IEEE Wireless Communications and Networking Conference |
| ISSN: | 1525-3511 |
| ISSN-E: | 1558-2612 |
| ISSN-L: | 1525-3511 |
| ISBN: | 978-1-5386-1734-2 |
| ISBN Print: | 978-1-5386-1735-9 |
| DOI: | 10.1109/WCNC.2018.8377419 |
| OADOI: | https://oadoi.org/10.1109/WCNC.2018.8377419 |
| Host publication: |
2018 IEEE Wireless Communications and Networking Conference (WCNC) |
| Conference: |
IEEE Wireless Communications and Networking Conference |
| Type of Publication: |
A4 Article in conference proceedings |
| Field of Science: |
213 Electronic, automation and communications engineering, electronics 113 Computer and information sciences |
| Subjects: | |
| Funding: |
This research was partially supported by the Academy of Finland project CARMA, the NOKIA donation project FOGGY and by the Spanish MINECO under grant TEC2016-80090-C2-2-R (5RANVIR). |
| Copyright information: |
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |