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LTE Performance Analysis Using Queuing Systems with Finite Resources and Random Requirements

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LTE Performance Analysis Using Queuing Systems with Finite Resources and Random Requirements. / Naumov, Valeriy; Samouylov, Konstantin; Yarkina, Natalia; Sopin, Eduard; Andreev, Sergey; Samuylov, Andrey.

2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). IEEE, 2015. p. 100-103.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Naumov, V, Samouylov, K, Yarkina, N, Sopin, E, Andreev, S & Samuylov, A 2015, LTE Performance Analysis Using Queuing Systems with Finite Resources and Random Requirements. in 2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). IEEE, pp. 100-103, International Congress on Ultra Modern Telecommunications and Control Systems, 1/01/00. https://doi.org/10.1109/ICUMT.2015.7382412

APA

Naumov, V., Samouylov, K., Yarkina, N., Sopin, E., Andreev, S., & Samuylov, A. (2015). LTE Performance Analysis Using Queuing Systems with Finite Resources and Random Requirements. In 2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) (pp. 100-103). IEEE. https://doi.org/10.1109/ICUMT.2015.7382412

Vancouver

Naumov V, Samouylov K, Yarkina N, Sopin E, Andreev S, Samuylov A. LTE Performance Analysis Using Queuing Systems with Finite Resources and Random Requirements. In 2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). IEEE. 2015. p. 100-103 https://doi.org/10.1109/ICUMT.2015.7382412

Author

Naumov, Valeriy ; Samouylov, Konstantin ; Yarkina, Natalia ; Sopin, Eduard ; Andreev, Sergey ; Samuylov, Andrey. / LTE Performance Analysis Using Queuing Systems with Finite Resources and Random Requirements. 2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). IEEE, 2015. pp. 100-103

Bibtex - Download

@inproceedings{e3b0be82ee844f4d9ea6cb14c5524563,
title = "LTE Performance Analysis Using Queuing Systems with Finite Resources and Random Requirements",
abstract = "Heavy traffic load in current LTE networks calls for effective radio resource allocation methods and tools for performance evaluation. In this work, we provide an analytical framework for LTE resource allocation in terms of queuing theory. We consider a multiservice queuing system with a finite amount of resources of several types, and allow the customers occupy a random amount of resources upon their arrival. Random resource requirements lead to more accurate performance evaluation compared to conventional multiservice models. For the considered model, we prove that the stationary probability distribution has a multiplicative form. Our findings are illustrated with a numerical example.",
author = "Valeriy Naumov and Konstantin Samouylov and Natalia Yarkina and Eduard Sopin and Sergey Andreev and Andrey Samuylov",
year = "2015",
doi = "10.1109/ICUMT.2015.7382412",
language = "English",
isbn = "978-1-4673-9282-2",
pages = "100--103",
booktitle = "2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)",
publisher = "IEEE",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - LTE Performance Analysis Using Queuing Systems with Finite Resources and Random Requirements

AU - Naumov, Valeriy

AU - Samouylov, Konstantin

AU - Yarkina, Natalia

AU - Sopin, Eduard

AU - Andreev, Sergey

AU - Samuylov, Andrey

PY - 2015

Y1 - 2015

N2 - Heavy traffic load in current LTE networks calls for effective radio resource allocation methods and tools for performance evaluation. In this work, we provide an analytical framework for LTE resource allocation in terms of queuing theory. We consider a multiservice queuing system with a finite amount of resources of several types, and allow the customers occupy a random amount of resources upon their arrival. Random resource requirements lead to more accurate performance evaluation compared to conventional multiservice models. For the considered model, we prove that the stationary probability distribution has a multiplicative form. Our findings are illustrated with a numerical example.

AB - Heavy traffic load in current LTE networks calls for effective radio resource allocation methods and tools for performance evaluation. In this work, we provide an analytical framework for LTE resource allocation in terms of queuing theory. We consider a multiservice queuing system with a finite amount of resources of several types, and allow the customers occupy a random amount of resources upon their arrival. Random resource requirements lead to more accurate performance evaluation compared to conventional multiservice models. For the considered model, we prove that the stationary probability distribution has a multiplicative form. Our findings are illustrated with a numerical example.

U2 - 10.1109/ICUMT.2015.7382412

DO - 10.1109/ICUMT.2015.7382412

M3 - Conference contribution

SN - 978-1-4673-9282-2

SP - 100

EP - 103

BT - 2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

PB - IEEE

ER -