DOI

The growing interest in video-based applications has resulted in a rapid increase in wireless data traffic and meeting the stringent quality-of-experience (QoE) demands for such type of traffic poses a great challenge given the scarce spectrum. Millimeter waves suffers from the huge losses during the propagation in comparison with other communications. However, with smaller cell sizes, spectral efficiency increases, atmospheric absorption and rain do not yield additional losses on the track for cells of 200 m size. Therefore, mmWave communication is mainly used for the internal environment, as well as access to small cells and feedback of data with cell sizes of 200 m. To this end, this paper presents models for transmission of video traffic in 5G networks based on millimeter waves in conjunction with cloud units on RAN boundary to offload the underlaying network. The system achieves higher efficiency in terms of unloading, overloading, coverage and delay. The system is modeled in terms of the probability of blocking for three scenarios i.e. 1) Using mmWave radio interface 2) Using D2D technology 3) Without using D2D technology; each of them is a separate radio interface. The simulation results show that the worst-case scenario is to use a network without D2D and cloud layers.

Язык оригиналаанглийский
Название основной публикацииProceedings of the 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, EIConRus 2020
РедакторыS. Shaposhnikov
ИздательInstitute of Electrical and Electronics Engineers Inc.
Страницы51-53
Число страниц3
ISBN (электронное издание)9781728157610
DOI
СостояниеОпубликовано - янв 2020
Событие2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, EIConRus 2020 - St. Petersburg and Moscow, Российская Федерация
Продолжительность: 27 янв 202030 янв 2020

Серия публикаций

НазваниеProceedings of the 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, EIConRus 2020

конференция

конференция2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, EIConRus 2020
Страна/TерриторияРоссийская Федерация
ГородSt. Petersburg and Moscow
Период27/01/2030/01/20

    Предметные области Scopus

  • Искусственный интеллект
  • Компьютерные сети и коммуникации
  • Компьютерное зрение и распознавание образов
  • Аппаратное обеспечение и архитектура ЭВМ
  • Информационные системы и управление
  • Электротехника и электроника
  • Мультимедийная технология
  • Контрольно-измерительные инструменты

ID: 87324665