Research Article
Predictive channel selection: Practical implementation and a social-aware vision for spectrum use
@ARTICLE{10.4108/eai.23-2-2017.152186, author={Marko H\o{}yhty\aa{} and Juha Korpi and Mikko Hiivala}, title={Predictive channel selection: Practical implementation and a social-aware vision for spectrum use}, journal={EAI Endorsed Transactions on Cognitive Communications}, volume={3}, number={10}, publisher={EAI}, journal_a={COGCOM}, year={2017}, month={2}, keywords={cognitive radio, spectrum sharing, spectrum databases.}, doi={10.4108/eai.23-2-2017.152186} }- Marko Höyhtyä
Juha Korpi
Mikko Hiivala
Year: 2017
Predictive channel selection: Practical implementation and a social-aware vision for spectrum use
COGCOM
EAI
DOI: 10.4108/eai.23-2-2017.152186
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. The method is developed further and a cellular assisted social-aware method that enables efficient use of D2D links is defined in the end of this paper.
Copyright © 2017 M. Höyhtyä et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (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.
