IDEAS home Printed from https://ideas.repec.org/a/ids/ijnvor/v33y2025i1p14-38.html

Efficient call admission control in LTE networks with cascade feed forward network

Author

Listed:
  • Vaishali Satish Jadhav
  • Pallavi Vasant Sapkale
  • Moresh M. Mukhedkar

Abstract

This research proposes a cascade feed forward network (Cascade FFN) for the optimal call admission control (CAC) over networks. Initially, the long-term evolution (LTE) network is simulated and the incoming call is recognised as a new call or else handoff call. Likewise, the handoff call is identified by various channel parameters. Finally, the CAC is performed using the Cascade FFN, which is obtained by incorporating the deep feed forward network (DFN) and cascaded deep neuro-fuzzy network (DNFN). After the admission of the new user, number of active users in the individual cell is updated. The simulation is performed based on various parameters and the proposed model has gained throughput of 444058 bps, cell power of 54.267 dBm, delay of 0.081 s, user call drop of 940, call blocking probabilities of handoff and new user as 0.693, and 0.677; and the call dropping probabilities of handoff and new user is 0.733, and 0.740.

Suggested Citation

  • Vaishali Satish Jadhav & Pallavi Vasant Sapkale & Moresh M. Mukhedkar, 2025. "Efficient call admission control in LTE networks with cascade feed forward network," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 33(1), pages 14-38.
    • Handle: RePEc:ids:ijnvor:v:33:y:2025:i:1:p:14-38
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=149573
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:ids:ijnvor:v:33:y:2025:i:1:p:14-38. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=22 .

    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.