IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v71y2019i4d10.1007_s11235-018-00537-5.html
   My bibliography  Save this article

Congestion probabilities in the X2 link of LTE networks

Author

Listed:
  • P. I. Panagoulias

    (University of Peloponnese)

  • I. D. Moscholios

    (University of Peloponnese)

Abstract

In this paper, first we review two multirate loss models, whereby we can assess the call-level QoS of the Long Term Evolution X2 link supporting calls of different service-classes with fixed bandwidth requirements. The X2 interface directly connects two neighboring evolved NodeBs and is mainly responsible for the transfer of user-plane and control-plane data during a handover. In both models, the X2 interface is modelled as a link of fixed capacity. Handover calls are accepted in the X2 link whenever there exists available bandwidth, i.e., no QoS guarantee is achieved for high-speed calls. Secondly, we propose three multirate loss models where calls arrive in the X2 link according to a quasi-random process and compete for the available bandwidth under the Multiple Fractional Channel Reservation (MFCR) policy, the Bandwidth Reservation (BR) policy and the Complete Sharing (CS) policy. The MFCR/BR policies allow the reservation of real/integer number of channels, respectively, in order to benefit high-speed calls. The CS policy allows calls to enter the system when there exists available bandwidth (no reservation is allowed). We propose approximate but recursive formulas for the calculation of time and call congestion probabilities as well as link utilization for all three policies. The accuracy of the proposed formulas is verified through simulation and found to be highly satisfactory.

Suggested Citation

  • P. I. Panagoulias & I. D. Moscholios, 2019. "Congestion probabilities in the X2 link of LTE networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 71(4), pages 585-599, August.
    • Handle: RePEc:spr:telsys:v:71:y:2019:i:4:d:10.1007_s11235-018-00537-5
    DOI: 10.1007/s11235-018-00537-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-018-00537-5
    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/s11235-018-00537-5?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.

    References listed on IDEAS

    as
    1. Ioannis D. Moscholios & Michael D. Logothetis & Anthony C. Boucouvalas, 2016. "Blocking probabilities of elastic and adaptive calls in the Erlang multirate loss model under the threshold policy," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 62(1), pages 245-262, May.
    2. N. Omheni & A. Gharsallah & F. Zarai, 2018. "An enhanced radio resource management based MIH policies in heterogeneous wireless networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 67(4), pages 577-592, April.
    3. Rami Ahmad & Elankovan A. Sundararajan & Nor E. Othman & Mahamod Ismail, 2017. "Handover in LTE-advanced wireless networks: state of art and survey of decision algorithm," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 66(3), pages 533-558, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rami Ahmad & Elankovan A. Sundararajan & Nor E. Othman & Mahamod Ismail, 2018. "An efficient handover decision in heterogeneous LTE-A networks under the assistance of users’ profile," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 68(1), pages 27-45, May.
    2. Rami Ahmad & Elankovan A. Sundararajan & Ala’ Khalifeh, 2020. "A survey on femtocell handover management in dense heterogeneous 5G networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 75(4), pages 481-507, December.

    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:telsys:v:71:y:2019:i:4:d:10.1007_s11235-018-00537-5. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.