Performance Analysis of M2M Traffic in LTE Network Using Queuing Systems with Random Resource Requirements
- Autores: Sopin E.S.1, Ageev K.A.1, Markova E.V.1, Vikhrova O.G.1, Gaidamaka Y.V.1
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Afiliações:
- Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University),
- Edição: Volume 52, Nº 5 (2018)
- Páginas: 345-353
- Seção: Article
- URL: https://journals.rcsi.science/0146-4116/article/view/175532
- DOI: https://doi.org/10.3103/S0146411618050127
- ID: 175532
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Resumo
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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Sobre autores
E. Sopin
Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University),
Autor responsável pela correspondência
Email: sopin_es@rudn.university
Rússia, Moscow, 117198
K. Ageev
Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University),
Email: sopin_es@rudn.university
Rússia, Moscow, 117198
E. Markova
Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University),
Email: sopin_es@rudn.university
Rússia, Moscow, 117198
O. Vikhrova
Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University),
Email: sopin_es@rudn.university
Rússia, Moscow, 117198
Yu. Gaidamaka
Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University),
Email: sopin_es@rudn.university
Rússia, Moscow, 117198
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