Real-time video adaptation in virtualised 5G networks

Pablo Salva-Garcia, Jose M. Alcaraz-Calero, Qi Wang, Maria Barros, Anastasius Gavras

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
122 Downloads (Pure)


Video applications are expected to increasingly dominate the traffic of mobile networks in the 5G era, and thus a real-time adaptation of these high resource demanding network applications is crucial in optimising the overall 5G networks. In this manuscript, we leverage Virtual Network Function (VNF) techniques to implement a video adaptation service that automatically adapts the quality of video transmissions depending on the status of the network. Furthermore, Network Function Virtualisation (NFV) techniques are employed here to simplify, optimise and speed up the deployment process of the aforementioned video adapter service (vAdapter), and therefore, allowing its on-demand deployment in a flexible way. We design, implement and test the scheme in a realistic virtualised 5G testbed. Empirical results focus on the scalability evaluation and performance as well as demonstrates a significant bandwidth reduction without compromising the final user’s video quality expectations.
Original languageEnglish
Title of host publicationProceedings of the 44th Annual IEEE Conference on Local Computer Networks
Subtitle of host publicationOctober 14-17, 2019, Osnabrück, Germany
EditorsKarl Andersson, Hwee-Pink Tan, Sharief Oteafy
ISBN (Electronic)9781728110271
ISBN (Print)9781728110288
Publication statusPublished - 13 Feb 2020
EventIEEE Conference on Local Computer Networks - Osnabrück, Germany
Duration: 14 Oct 201917 Oct 2019
Conference number: 44

Publication series

NameConference on Local Computer Networks
ISSN (Print)0742-1303


ConferenceIEEE Conference on Local Computer Networks
Abbreviated titleLCN 2019
Internet address


  • Real-time
  • Multimedia
  • Adaptive
  • SDN
  • NFV
  • 5G
  • Network management
  • QoS


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