Predictive channel selection for over-the-air video transmission using software-defined radio platforms

Marko Höyhtyä (Corresponding author), Juha Korpi, Mikko Hiivala

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)

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.
Original languageEnglish
Title of host publicationCognitive Radio Oriented Wireless Networks
PublisherSpringer
Pages569-579
ISBN (Print)978-3-319-40351-9, 978-3-319-40352-6
DOIs
Publication statusPublished - 2016
MoE publication typeA4 Article in a conference publication
Event11th International Conference, CROWNCOM 2016 - Grenoble, France
Duration: 30 May 20161 Jun 2016

Publication series

SeriesLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Volume172
ISSN1867-8211

Conference

Conference11th International Conference, CROWNCOM 2016
Abbreviated titleCROWNCOM 2016
CountryFrance
CityGrenoble
Period30/05/161/06/16

Keywords

  • cognitive radio
  • spectrum databases
  • dynamic spectrum access

Fingerprint Dive into the research topics of 'Predictive channel selection for over-the-air video transmission using software-defined radio platforms'. Together they form a unique fingerprint.

  • Cite this

    Höyhtyä, M., Korpi, J., & Hiivala, M. (2016). Predictive channel selection for over-the-air video transmission using software-defined radio platforms. In Cognitive Radio Oriented Wireless Networks (pp. 569-579). Springer. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Vol.. 172 https://doi.org/10.1007/978-3-319-40352-6_47