Mobility aware eMBMS management in urban 5G-oriented systems

The demand for video services in mobile networks is rapidly increasing. In fact, is expected that video transmissions will account for more than 69% of mobile data traffic by 2018[1]. Along these lines, the challenging requirements of such multimedia applications and, at the same time, the centralized organization typical of current cellular technologies motivate the investigation of enhanced advanced driver assistance systems (ADAS) for supporting the driver experience in terms of safety driving comfort. In this context, in this paper we focus our attention of a new realistic scenario, in which all users share video contents from the surrounding environment with the aim to create a global 3D video content useful for ADAS systems. Once that such video content is created, we assume that the LTE eNodeB may come in help for making it available through streaming transmissions towards all vehicles in that area with the use of Multimedia Broadcast Multicast Services (MBMS). Obtained results, show that multicast transmissions based on subgrouping techniques are able to overcome the legacy solutions where conservative and opportunistic schemes are used. © 2017 IEEE.

Авторы
Desogus C.1 , Fadda M.1 , Murroni M.1 , Araniti G. 2, 3 , Orsino A.4
Сборник материалов конференции
Издательство
IEEE Computer Society
Язык
Английский
Статус
Опубликовано
Номер
7986140
Год
2017
Организации
  • 1 Department of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy
  • 2 Department of Information Engineering Infrastructure and Sustainable Energy, Mediterranean University, Reggio Calabria, Italy
  • 3 Peoples' Friendship University, RUDN University, Russian Federation
  • 4 Department of Electronics and Communications Engineering, Tampere University of Technology, Tampere, Finland
Ключевые слова
LTE; MBMS; Multicast Grouping; V2X; Video Streaming
Дата создания
19.10.2018
Дата изменения
19.10.2018
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/5415/
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Другие записи

Muthanna A., Paramonov A., Khakimov A., Vladyko A., Gudkova I., Kirichek R.
ACM International Conference Proceeding Series. Association for Computing Machinery. Том Part F130522. 2017.