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)


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
ISBN (Print)978-3-319-40351-9, 978-3-319-40352-6
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


Conference11th International Conference, CROWNCOM 2016
Abbreviated titleCROWNCOM 2016


  • cognitive radio
  • spectrum databases
  • dynamic spectrum access

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