@inproceedings{635ba3b1c6344edf90d784f0b0f43afd,
title = "Predictive channel selection for over-the-air video transmission using software-defined radio platforms",
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.",
keywords = "cognitive radio, spectrum databases, dynamic spectrum access",
author = "Marko H{\"o}yhty{\"a} and Juha Korpi and Mikko Hiivala",
year = "2016",
doi = "10.1007/978-3-319-40352-6_47",
language = "English",
isbn = "978-3-319-40351-9",
series = "Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering",
publisher = "Springer",
pages = "569--579",
booktitle = "Cognitive Radio Oriented Wireless Networks",
address = "Germany",
note = "11th International Conference, CROWNCOM 2016, CROWNCOM 2016 ; Conference date: 30-05-2016 Through 01-06-2016",
}