LTE Performance Analysis Using Queuing Systems with Finite Resources and Random Requirements
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Standard
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 proceeding › Conference contribution › Scientific › peer-review
Harvard
APA
Vancouver
Author
Bibtex - Download
}
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 -