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Evaluation of the New and Accepted Customers Blocking Probabilties in a Network of Resource Loss Systems

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Abstract

The paper considers a network of resource loss systems (ReLS) with random resource requirements and two types of nodes. Customers initially arrive to the first type of nodes, where they receive service for exponentially distributed time. The service of customers can be interrupted. In this case, they are rerouted to the second type of nodes, where they receive service for an exponentially distributed time. Once the service is completed, they return back to the original node and continue its service. Customers require a random volume of limited resources. If there are not enough of unoccupied resources upon the arrival of a customer, then it is considered lost. Similarly, if an accepted customer is rerouted to another node and finds that there are not enough of resources to meet its requirements, then it is also lost. In this paper, we provide an approach to analyze the stationary behavior of the considered system, as well as establish expressions for the new customer loss probability and the accepted customer loss probability. The developed model has a wide range of applications in performance evaluation of fifth generation (5G) New Radio (NR) access networks. To this aim, we investigate the response of the considered service system in detail by revealing critical dependencies and trade-offs between input system parameters and performance measures of interest.

Original languageEnglish
Title of host publicationInformation Technologies and Mathematical Modelling. Queueing Theory and Applications - 20th International Conference, ITMM 2021, Named after A.F. Terpugov, Revised Selected Papers
EditorsAlexander Dudin, Anatoly Nazarov, Alexander Moiseev
PublisherSpringer
Pages105-116
Number of pages12
ISBN (Electronic)9783031093319
ISBN (Print)9783031093302
DOIs
Publication statusPublished - 2022
Publication typeA4 Article in conference proceedings
EventInternational Conference on Information Technologies and Mathematical Modelling - Virtual, Online
Duration: 1 Dec 20215 Dec 2021

Publication series

NameCommunications in Computer and Information Science
Volume1605 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

ConferenceInternational Conference on Information Technologies and Mathematical Modelling
CityVirtual, Online
Period1/12/215/12/21

Funding

The research was funded by the Russian Science Foundation, project no. 21-79-10139, https://rscf.ru/en/project/21-79-10139/.

Keywords

  • 5G NR
  • loss probability
  • multiconnectivity
  • queuing network
  • Resource loss system
  • wireless networks

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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