Optimal multicast subgrouping in mobility-aware 5G systems: Challenges, modeling, and opportunities

The expected growth in the mobile video (including streaming video, video downloading, conferencing, etc.) now is the key driver for rapid development of 5G wireless network technologies. This paradigm forces wireless networks to manage their resources as effectively as possible. One of the most appropriate solutions for video traffic that may provide the sufficient spectral efficiency is multicasting. Multicast sessions allows a group of users to simultaneously access the same multimedia content with the same QoE parameters. In this paper we consider different methods of multicast subgrouping. An analytical framework in the from of a queuing network is proposed to study the network performance, and a comparative study of network performance metrics under different user movement scenarios is presented. Copyright © 2018 for the individual papers by the papers' authors.

Авторы
Beschastnyi V.A. 1 , Ostrikova D.Yu. 1 , Zeifman A.I.2, 3 , Gudkova I.A. 1, 4
Сборник материалов конференции
Издательство
CEUR-WS
Язык
Английский
Страницы
13-22
Статус
Опубликовано
Том
2332
Год
2018
Организации
  • 1 Department of Applied Probability and Informatics, Peoples' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya St., Moscow, 117198, Russian Federation
  • 2 Department of Applied Mathematics, Vologda State University, 6 Orlova St., Vologda, 160000, Russian Federation
  • 3 Institute of Informatics Problems, Federal Research Center Computer Science and Control of the Russian Academy of Sciences, 44-2 Vavilov St., Moscow, 119333, Russian Federation
  • 4 Faculty of Electrical Engineering and Communication, Brno University of Technology, 3058/10 Technická, Brno, 61600, Czech Republic
Ключевые слова
5G; Analytical model; Multicast; Optimization; Subgrouping
Дата создания
19.07.2019
Дата изменения
19.07.2019
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/38361/
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