cogcom 17(11): e5

Research Article

Social Cognitive Cooperation for Device to Device Communications

Cite
BibTeX Plain Text
  • @ARTICLE{10.4108/eai.31-5-2017.152557,
    author={Anna Vizziello and Riccardo Amadeo and Lorenzo Favalli},
    title={Social Cognitive Cooperation for Device to Device Communications},
    journal={EAI Endorsed Transactions on Cognitive Communications},
    volume={3},
    number={11},
    publisher={EAI},
    journal_a={COGCOM},
    year={2017},
    month={5},
    keywords={cognitive radio networks, social networks, information sharing, resource allocation},
    doi={10.4108/eai.31-5-2017.152557}
}
  • Anna Vizziello
    Riccardo Amadeo
    Lorenzo Favalli
    Year: 2017
    Social Cognitive Cooperation for Device to Device Communications
    COGCOM
    EAI
    DOI: 10.4108/eai.31-5-2017.152557
Anna Vizziello1,*, Riccardo Amadeo1, Lorenzo Favalli1
  • 1: Department of Electrical, Computer, and Biomedical Engineering, University of Pavia, via Ferrata 5, 27100 Pavia, Italy, IT
*Contact email: anna.vizziello@unipv.it

Abstract

Device-to-device (D2D) communication has been proposed as a solution to facilitate high data rate applications among nearby devices, to improve spectrum utilization and the overall throughput. We envision a social-cognitive architecture as a candidate solution for D2D communication, where the devices not only share content but also the identified available channels in a novel social way. Some of the traÿc load can thus be managed by D2D peers thanks to their cognitive capabilities and social sharing. Moreover, it is possible to reduce some intensive operations of the cognitive cycle, such as the sensing operation, since the sharing information is less energy demanding. The main features of the social cognitive architecture for D2D communication are presented. Moreover, the existing state of the art is described, as well as the research challenges, and a new procedure for an energy eÿcient social information sharing and resource allocation.

Keywords
cognitive radio networks, social networks, information sharing, resource allocation
Received
24th May 2016
Accepted
7th May 2017
Published
31st May 2017
Publisher
EAI
http://dx.doi.org/10.4108/eai.31-5-2017.152557

Copyright © 2017 Anna Vizziello et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.