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Informatika i Ee Primeneniya [Informatics and its Applications], 2023, Volume 17, Issue 2, Pages 71–77
DOI: https://doi.org/10.14357/19922264230210
(Mi ia847)
 

On modeling the effects of multicast traffic servicing in 5G NR networks

A. K. Samoylova, A. A. Platonovaa, V. S. Shorginb, Yu. V. Gaidamakaab

a RUDN University, 6 Miklukho-Maklaya Str., Moscow 117198, Russian Federation
b Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences; 44-2 Vavilov Str., Moscow 119133, Russian Federation
References:
Abstract: Multicasting in wireless access networks allows efficient provision of a service to a group of subscribers and is useful for reducing the resource required to serve user equipments requesting the same data. The support of this feature in current 5G New Radio (NR) technology and future subterahertz (sub-THz) 6G systems faces challenges associated with the use of the directional beamforming phased array antennas. The presented multicast and unicast traffic service model allows one to explore the range of 5G/6G network parameters to reduce the density of base stations while maintaining the quality of services provided to subscribers.
Keywords: 5G, 6G, multicasting, millimeter wave, terahertz, multibeam antennas, multi-RAT, numerical simulation.
Funding agency Grant number
Russian Science Foundation 21-79-00142
The reported study was funded by the Russian Science Foundation, project No. 21-79-00142.
Received: 15.04.2023
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Document Type: Article
Language: Russian
Citation: A. K. Samoylov, A. A. Platonova, V. S. Shorgin, Yu. V. Gaidamaka, “On modeling the effects of multicast traffic servicing in 5G NR networks”, Inform. Primen., 17:2 (2023), 71–77
Citation in format AMSBIB
\Bibitem{SamPlaSho23}
\by A.~K.~Samoylov, A.~A.~Platonova, V.~S.~Shorgin, Yu.~V.~Gaidamaka
\paper On modeling the effects of multicast traffic servicing in 5G NR networks
\jour Inform. Primen.
\yr 2023
\vol 17
\issue 2
\pages 71--77
\mathnet{http://mi.mathnet.ru/ia847}
\crossref{https://doi.org/10.14357/19922264230210}
\edn{https://elibrary.ru/SLMGZU}
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