Can I Add a VR Flow? On the Maximum Capacity of 5G to Support 360° Video

The 360° video is gaining in popularity thanks to the increasing prevalence of virtual reality (VR) devices. This has motivated novel approaches to improve the efficiency of 360° video transmission, with techniques that range from content distribution techniques (using edge servers) to the so-called viewport or tile prediction. In this article, we take a different approach and study the maximum capacity of a 5G cell to support 360° video flows. Specifically, we provide a methodology to estimate the upper bound on the number of simultaneous 360° video flows that can fit in the cell. To this aim, we first define different quality profiles for video transmission, which are based on subjective video quality metrics. This upper bound is calculated as a function of the quality profile of the video transmission. We also analyze the impact of different parameters on the results, including scenarios with interfering cells. Our results quantify the ability of 5G cells to support VR traffic and the impact of the type of video or the quality of experience on performance.

Authors

Institutions

Publication Details

Journal
IEEE Communications Magazine
Published
2024-08-01
DOI
https://doi.org/10.1109/mcom.005.2300756
Primary Topic
Image and Video Quality Assessment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Can I Add a VR Flow? On the Maximum Capacity of 5G to Support 360° Video

Pablo Serrano, Francesco Gringoli, Antonio Virdis, Marco Gramaglia
IEEE Communications Magazine
Image and Video Quality Assessment
article

Can I Add a VR Flow? On the Maximum Capacity of 5G to Support 360° Video

Pablo Serrano, Francesco Gringoli, Antonio Virdis, Marco Gramaglia
article en

Abstract

The 360° video is gaining in popularity thanks to the increasing prevalence of virtual reality (VR) devices. This has motivated novel approaches to improve the efficiency of 360° video transmission, with techniques that range from content distribution techniques (using edge servers) to the so-called viewport or tile prediction. In this article, we take a different approach and study the maximum capacity of a 5G cell to support 360° video flows. Specifically, we provide a methodology to estimate the upper bound on the number of simultaneous 360° video flows that can fit in the cell. To this aim, we first define different quality profiles for video transmission, which are based on subjective video quality metrics. This upper bound is calculated as a function of the quality profile of the video transmission. We also analyze the impact of different parameters on the results, including scenarios with interfering cells. Our results quantify the ability of 5G cells to support VR traffic and the impact of the type of video or the quality of experience on performance.

IEEE Communications MagazineVol. 62(8)
University of Pisa (IT), Consorzio Nazionale Interuniversitario per le Telecomunicazioni (IT), Universidad Carlos III de Madrid (ES), University of Brescia (IT)
European Commission
Affordable and clean energy
Openalex Percentile: Top 88%
Image and Video Quality Assessment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.