IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v80y2022i4d10.1007_s11235-022-00921-2.html
   My bibliography  Save this article

Traffic splitting for delay jitter control in multi-access systems

Author

Listed:
  • Megha Sahu

    (IIT Bhilai)

  • Sri Pramodh Rachuri

    (IIT Bhilai)

  • Ahtisham Ali Ansari

    (IIT Bhilai)

  • Arzad Alam Kherani

    (IIT Bhilai)

Abstract

This work addresses the problem of traffic splitting for improving the overall delay jitter performance in the uplink multi-access system. We propose a packet-scheduling paradigm based on stochastic approximation algorithm to distribute the source traffic across the multiple network paths/interfaces. We first provide an analytical model and the delay jitter analysis for an individual interface. Later we formulate the traffic splitting problem as an optimization problem to learn the optimal split across the interfaces. We share the experimental results for the video and constant bit rate traffic on real networks (Wi-Fi or cellular networks) and convergence of our system using the proposed scheme in the dynamic network environment. The paradigm proposed in the paper is general and can be adapted to different objective functions.

Suggested Citation

  • Megha Sahu & Sri Pramodh Rachuri & Ahtisham Ali Ansari & Arzad Alam Kherani, 2022. "Traffic splitting for delay jitter control in multi-access systems," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 80(4), pages 513-527, August.
    • Handle: RePEc:spr:telsys:v:80:y:2022:i:4:d:10.1007_s11235-022-00921-2
    DOI: 10.1007/s11235-022-00921-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-022-00921-2
    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/s11235-022-00921-2?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. Miran Taha & Alejandro Canovas & Jaime Lloret & Aree Ali, 2021. "A QoE adaptive management system for high definition video streaming over wireless networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 77(1), pages 63-81, May.
    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.

      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:80:y:2022:i:4:d:10.1007_s11235-022-00921-2. 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.