Resource queuing systems as models of wireless communication systems

The article presents an overview of the resource queuing systems used for modeling of a wide class of real systems with admittedly limited resources. Despite the objective importance of studying of such systems, there have been very few works devoted to their analysis until recently, which was due to the complexity of constructing a random process to describe their functioning and, accordingly, of obtaining the numerical results. However, in recent years, there has been a significant shift in the study of the resource systems - new methods for their analysis have been proposed, which made it possible to construct recursive algorithms suitable for the numerical calculations. In this regard, the current review reflects only a part of the previously obtained results, namely, it considers the resource systems without waiting space with exponentially distributed service time. The authors consider the models of wireless communication systems based on resource queuing systems, expressions for estimating the main probabilistic, and temporal characteristics and algorithms for their calculation. © 2018 Federal Research Center Computer Science and Control of Russian Academy of Sciences.

Авторы
Издательство
Федеральный исследовательский центр "Информатика и управление" РАН
Номер выпуска
3
Язык
Русский
Страницы
48-55
Статус
Опубликовано
Том
12
Год
2018
Организации
  • 1 Peoples' Friendship University of Russia, RUDN University, 6 Miklukho-Maklaya Str., Moscow, 117198, Russian Federation
  • 2 Service Innovation Research Institute, 8A Annankatu, Helsinki, 00120, Finland
  • 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
Continuous resource; Discrete resource; Heterogeneous network; Limited resource; Recursive algorithm; Resource queueing systems; Semi-Markov process; Stationary distribution; Wireless communication systems
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