Informatics and Applications
2022, Volume 16, Issue 2, pp 102-108
DENSITY ANALYSIS OF mmWave NR DEPLOYMENTS FOR DELIVERING SCALABLE AR/VR VIDEO SERVICES
- V. A. Beschastnyi
- D. Yu. Ostrikova
- S. Ya. Shorgin
- D. A. Moltchanov
- Yu. V. Gaidamaka
Abstract
The 5G New Radio (NR) technology operating in millimeter-wave (mmWave) frequency band is designed to support bandwidth-greedy applications requiring extraordinary rates at the access interface. In NR systems, the use of antenna arrays that form directional radiation patterns allows to avoid high propagation losses and interference but at the same time reduces the coverage area of a single beam and, hence, the number of multicast users that can be served by the beam. As a result, efficient algorithms are required to support such services in both terrestrial systems and drone-assisted systems that utilize unmanned aerial vehicles as access points. The present authors consider the streaming data delivery of virtual reality services using scalable video coding technology which utilizes multicast capabilities for baseline layer and unicast transmissions for delivering an enhanced experience.
By utilizing the tools of stochastic geometry and queuing theory, the authors develop a simple method allowing one to estimate the deployment density of mmWave NR base stations to provide a given performance of multilayer multicast services depending on their various requirements and structure as well as on the density of users.
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[+] About this article
Title
DENSITY ANALYSIS OF mmWave NR DEPLOYMENTS FOR DELIVERING SCALABLE AR/VR VIDEO SERVICES
Journal
Informatics and Applications
2022, Volume 16, Issue 2, pp 102-108
Cover Date
2022-07-25
DOI
10.14357/19922264220213
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
5G; New Radio; mmWave; multi-layer VR; multicasting; scalable video coding; clustering
Authors
V. A. Beschastnyi  , D. Yu. Ostrikova , S. Ya. Shorgin  , D. A. Moltchanov  , and Yu. V. Gaidamaka ,
Author Affiliations
Peoples' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Str., Moscow 117198, Russian Federation
Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
Tampere University, 7 Korkeakoulunkatu, Tampere 33720, Finland
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