Modeling movement of devices in a wireless network by random walk models [Применение моделей случайного блуждания при моделировании перемещения устройств в беспроводной сети]

The authors overview mobility models which are applicable for simulation of movement of users’ devices in a fifth generation (5G) wireless network. Mobility patterns that are typical for simulating the behavior of users of a wireless ad hoc network are considered. The features of the models are discussed, both for individual motion of objects and for motion of groups of objects, from the point of view of appliance to the analysis of interference in wireless networks. The purpose of the paper is to propose a number of mobility models for making an informed decision when choosing a model for evaluating the quality of service in 5G wireless networks. The authors present simulation results that illustrate the method of estimation of the key performance quality parameter, i. e., signal to interference ratio. For illustration, the developed complex of analytical and simulation models is used for simulation of movement of shopping moll customers with the help of the grid random walk mobility model. © 2018 Federal Research Center "Computer Science and Control" of Russian Academy of Sciences. All Rights Reserved.

Авторы
Издательство
Федеральный исследовательский центр "Информатика и управление" РАН
Номер выпуска
4
Язык
Русский
Страницы
2-8
Статус
Опубликовано
Том
12
Год
2018
Организации
  • 1 Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Str., Moscow, 117198, Russian Federation
  • 2 Federal Research Center “Computer Science and Control”, Russian Academy of Sciences, 44-2 Vavilov Str., Moscow, 119333, Russian Federation
  • 3 Institute of Informatics Problems, Federal Research Center “Computer Science and Control”, Russian Academy of Sciences, 44-2 Vavilov Str., Moscow, 119333, Russian Federation
Ключевые слова
Ad hoc network simulation; Entity mobility model; Group mobility model; Signal to interference and noise ratio; SINR
Дата создания
19.07.2019
Дата изменения
19.07.2019
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/38357/