Cognitive Radio Oriented Wireless Networks. 11th International Conference, CROWNCOM 2016, Grenoble, France, May 30 - June 1, 2016, Proceedings

Research Article

Predictive Channel Selection for over-the-Air Video Transmission Using Software-Defined Radio Platforms

Download
209 downloads
  • @INPROCEEDINGS{10.1007/978-3-319-40352-6_47,
        author={Marko H\o{}yhty\aa{} and Juha Korpi and Mikko Hiivala},
        title={Predictive Channel Selection for over-the-Air Video Transmission Using Software-Defined Radio Platforms},
        proceedings={Cognitive Radio Oriented Wireless Networks. 11th International Conference, CROWNCOM 2016, Grenoble, France, May 30 - June 1, 2016, Proceedings},
        proceedings_a={CROWNCOM},
        year={2016},
        month={6},
        keywords={Cognitive radio Spectrum databases Dynamic spectrum access},
        doi={10.1007/978-3-319-40352-6_47}
    }
    
  • Marko Höyhtyä
    Juha Korpi
    Mikko Hiivala
    Year: 2016
    Predictive Channel Selection for over-the-Air Video Transmission Using Software-Defined Radio Platforms
    CROWNCOM
    Springer
    DOI: 10.1007/978-3-319-40352-6_47
Marko Höyhtyä1,*, Juha Korpi1,*, Mikko Hiivala1,*
  • 1: VTT Technical Research Centre of Finland Ltd.
*Contact email: marko.hoyhtya@vtt.fi, juha.korpi@vtt.fi, mikko.hiivala@vtt.fi

Abstract

This paper demonstrates a predictive channel selection method by implementing it in software-defined radio (SDR) platforms and measuring the performance using over-the-air video transmissions. The method uses both long term and short term history information in selecting the best channel for data transmission. Controlled interference is generated in the used channels and the proposed method is compared to reference methods. The achieved results show that the predictive method is a practical one, able to increase the throughput and reduce number of collisions and channel switches by using history information intelligently.