Performance Analysis of M2M Traffic in LTE Network Using Queuing Systems with Random Resource Requirements
- Авторы: Sopin E.S.1, Ageev K.A.1, Markova E.V.1, Vikhrova O.G.1, Gaidamaka Y.V.1
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Учреждения:
- Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University),
- Выпуск: Том 52, № 5 (2018)
- Страницы: 345-353
- Раздел: Article
- URL: https://journals.rcsi.science/0146-4116/article/view/175532
- DOI: https://doi.org/10.3103/S0146411618050127
- ID: 175532
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Аннотация
We analyze a multiserver queuing system, in which customers require a server and a certain amount of limited resources for the duration of their service. For the case of discrete resources, we develop a recurrence algorithm to evaluate the model’s stationary probability distribution and its various stationary characteristics, such as the blocking probability and the average amount of occupied resources. The algorithm is applied to analysis of M2M traffic characteristics in a LTE network cell. We derive the cumulative distribution function of radio resource requirements of M2M devices and propose a sampling approach in order to apply the recurrence algorithm to the case of continuous resources.
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Об авторах
E. Sopin
Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University),
Автор, ответственный за переписку.
Email: sopin_es@rudn.university
Россия, Moscow, 117198
K. Ageev
Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University),
Email: sopin_es@rudn.university
Россия, Moscow, 117198
E. Markova
Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University),
Email: sopin_es@rudn.university
Россия, Moscow, 117198
O. Vikhrova
Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University),
Email: sopin_es@rudn.university
Россия, Moscow, 117198
Yu. Gaidamaka
Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University),
Email: sopin_es@rudn.university
Россия, Moscow, 117198
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