Cognition-based networks: Applying cognitive science to multimedia wireless networking

Leonardo Badia, Daniele Munaretto, Alberto Testolin, Andrea Zanella, Marco Zorzi, Michele Zorzi

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

Abstract

Several techniques for wireless networking, such as opportunistic spectrum access, or self-healing networks, may be seen as using a form of cognition, meaning that they mimic reasoning processes of intelligent beings. We propose to expand this cognition-based process by exploiting the parallel processing power of the infrastructure, so as to go beyond cognition as is meant by these approaches. We leverage novel approaches, taken from cognitive science and artificial intelligence, involving not only supervised but also unsupervised learning, and we envision their application to systems for video over wireless. The transmission of multimedia content, and its adaptation to the condition of the communication infrastructure, i.e., the wireless channel or the content delivery network, are envisioned as particularly critical steps for the development of latest generation mobile networks. For this scenario, we propose and evaluate a video classifier based on a Restricted Boltzmann Machine that tries to extract abstract features of videos from the analysis of the sizes of a few coded frames. These features can then be exploited by the communication network itself to optimize video transmission based on its content.

Original languageEnglish
Title of host publicationProceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014, WoWMoM 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479947867
DOIs
Publication statusPublished - Oct 8 2014
Event15th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2014 - Sydney, Australia
Duration: Jun 19 2014 → …

Other

Other15th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2014
CountryAustralia
CitySydney
Period6/19/14 → …

Keywords

  • feature extraction
  • generative models
  • QoE
  • resource management
  • SSIM
  • video admission control
  • video delivery

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Human-Computer Interaction

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  • Cite this

    Badia, L., Munaretto, D., Testolin, A., Zanella, A., Zorzi, M., & Zorzi, M. (2014). Cognition-based networks: Applying cognitive science to multimedia wireless networking. In Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014, WoWMoM 2014 [6918997] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WoWMoM.2014.6918997