IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v71y2019i3d10.1007_s11235-018-0498-1.html
   My bibliography  Save this article

Reliable rate-adaptive video transmission over cognitive cellular networks using multiple description scalable coding

Author

Listed:
  • Abdelaali Chaoub

    (National Institute of Posts and Telecommunications (INPT))

  • Fatim Zahra Ennaoui

    (National Institute of Posts and Telecommunications (INPT))

  • Elhassane Ibn-Elhaj

    (National Institute of Posts and Telecommunications (INPT))

Abstract

The promise of high-bandwidth and low-latency wireless applications has placed unprecedented stress on the limited spectrum for future 5G networks. Thus, dynamic spectrum sharing has emerged as a promising solution to increase the capacity and the coverage of future cellular networks. In this paper, we tackle the issue of video delivery over cognitive cellular networks using a combination of the legacy licensed bands as well as the spectrum holes left unused in TV bands. To actively react to fluctuating bandwidth, the original video undergoes a multiple description scalable coding (MDSC), whereby the video sequence is fragmented into odd and even sub-streams, then the decomposed video is hierarchically encoded using H.264/SVC to produce two independent descriptions that refine each other. As long as the available licensed radio resources are not sufficient to deliver all the scalable video layers, the cognitive base station exploits the available portion of TV spectrum using a hybrid interweave and underlay approach to extend the capacity of the legacy infrastructure. Numerical simulations show that the proposed transmission scheme provides enough capacity, up to $$1.62~\mathrm {Mbps}$$ 1.62 Mbps increase, to handle the rising demands in terms of video quality in a timely manner without disrupting the primary link and without connection release. Moreover, the proposed MDSC framework offers an increment of 20% (24%, respectively) in the PSNR (MS-SSIM, respectively) of the received video.

Suggested Citation

  • Abdelaali Chaoub & Fatim Zahra Ennaoui & Elhassane Ibn-Elhaj, 2019. "Reliable rate-adaptive video transmission over cognitive cellular networks using multiple description scalable coding," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 71(3), pages 321-338, July.
  • Handle: RePEc:spr:telsys:v:71:y:2019:i:3:d:10.1007_s11235-018-0498-1
    DOI: 10.1007/s11235-018-0498-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-018-0498-1
    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/s11235-018-0498-1?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Muhammad Zeeshan & Muhammad Majid, 2021. "HEVC compatible perceptual multiple description video coding for reliable video transmission over packet networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 76(1), pages 63-83, January.

    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:3:d:10.1007_s11235-018-0498-1. 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.