Performance Analysis of M2M Traffic in LTE Network Using Queuing Systems with Random Resource Requirements
- Authors: Sopin E.S.1, Ageev K.A.1, Markova E.V.1, Vikhrova O.G.1, Gaidamaka Y.V.1
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Affiliations:
- Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University),
- Issue: Vol 52, No 5 (2018)
- Pages: 345-353
- Section: Article
- URL: https://journal-vniispk.ru/0146-4116/article/view/175532
- DOI: https://doi.org/10.3103/S0146411618050127
- ID: 175532
Cite item
Abstract
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.
About the authors
E. S. Sopin
Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University),
Author for correspondence.
Email: sopin_es@rudn.university
Russian Federation, Moscow, 117198
K. A. Ageev
Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University),
Email: sopin_es@rudn.university
Russian Federation, Moscow, 117198
E. V. Markova
Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University),
Email: sopin_es@rudn.university
Russian Federation, Moscow, 117198
O. G. Vikhrova
Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University),
Email: sopin_es@rudn.university
Russian Federation, Moscow, 117198
Yu. V. Gaidamaka
Applied Probability and Informatics Department, Peoples’ Friendship University of Russia (RUDN University),
Email: sopin_es@rudn.university
Russian Federation, Moscow, 117198
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