IDEAS home Printed from https://ideas.repec.org/a/spr/metcap/v24y2022i3d10.1007_s11009-021-09890-6.html
   My bibliography  Save this article

Using Infinite-server Resource Queue with Splitting of Requests for Modeling Two-channel Data Transmission

Author

Listed:
  • Tatyana Bushkova

    (Tomsk State University)

  • Svetlana Moiseeva

    (Tomsk State University)

  • Alexander Moiseev

    (Tomsk State University)

  • János Sztrik

    (University of Debrecen)

  • Ekaterina Lisovskaya

    (Tomsk State University)

  • Ekaterina Pankratova

    (V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences)

Abstract

New Radio Access Technology 3GPP New Radio has become the fundamental wireless technology in the fifth-generation networks, which allows us to achieve high data rates due to the ability to work in the millimeter-wave band. But the key feature and the main problem of 5G New Radio networks is that people themselves, cars, buildings, etc. are signal blockers, while the base stations of the fourth generation networks have widescreen broadcasting and such small obstacles do not cause loss of connection. Service providers and mobile operators are already testing the proposed technology. In this connection, the scientific community has the task of analyzing the performance of these systems and increasing it in the future. Currently, there are known studies of “basic” mathematical models of such networks. By this term, we mean models built in the simplest possible assumptions. However, due to the justified necessity of introducing new technology into the daily lives of subscribers, service providers pose the scientific community with the task of analyzing the effectiveness of the most appropriate mathematical models. For example, a technology of splitting transmitted data into two streams using as 5G and both 4G transmission technologies is considered now by 3GPP Project Coordination Group. The paper is devoted to such a problem. We consider a mathematical model of the message transmitting with the implementation of the splitting function in the communication networks of New Radio technology in the form of a resource queueing system with a renewal arrival process and non-exponential service. For this problem, an approximation of a stationary two-dimensional probability distribution of the number of occupied resources in parallel service units is obtained. It is shown that this approximation coincides with the Gaussian distribution, and its area of applicability is shown.

Suggested Citation

  • Tatyana Bushkova & Svetlana Moiseeva & Alexander Moiseev & János Sztrik & Ekaterina Lisovskaya & Ekaterina Pankratova, 2022. "Using Infinite-server Resource Queue with Splitting of Requests for Modeling Two-channel Data Transmission," Methodology and Computing in Applied Probability, Springer, vol. 24(3), pages 1753-1772, September.
  • Handle: RePEc:spr:metcap:v:24:y:2022:i:3:d:10.1007_s11009-021-09890-6
    DOI: 10.1007/s11009-021-09890-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11009-021-09890-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11009-021-09890-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:metcap:v:24:y:2022:i:3:d:10.1007_s11009-021-09890-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.