Research Article
Evaluation of a Belief-based Decision Making in a Real-time Platform for Cognitive Radio Networks
@INPROCEEDINGS{10.4108/icst.crowncom.2014.255568, author={Alessandro Raschell\'{a} and Jordi P\^{e}rez-Romero and Oriol Sallent and Anna Umbert}, title={Evaluation of a Belief-based Decision Making in a Real-time Platform for Cognitive Radio Networks}, proceedings={NEWCOM Special Session on Cognitive Radio/Networks and Related Issues}, publisher={IEEE}, proceedings_a={NEWCOM SPECIAL SESSION}, year={2014}, month={7}, keywords={cognitive radio testbed spectrum selection decision making belief vector}, doi={10.4108/icst.crowncom.2014.255568} }- Alessandro Raschellà
Jordi Pérez-Romero
Oriol Sallent
Anna Umbert
Year: 2014
Evaluation of a Belief-based Decision Making in a Real-time Platform for Cognitive Radio Networks
NEWCOM SPECIAL SESSION
ICST
DOI: 10.4108/icst.crowncom.2014.255568
Abstract
This paper presents a real-time testbed based on reconfigurable devices able to transmit and receive data at different operating frequencies, which are dynamically configured. The main objective of this paper is to provide an advanced and realistic framework where the performance of algorithms and policies for spectrum selection in Cognitive Radio (CR) networks can be fully evaluated in a real-time environment. In particular, this paper focuses on a CR belief-based decision making framework particularized for different observation strategies that decide when measurements are carried out to predict the radio environment dynamism. Results show that an accurate selection of an observation strategy is a key element for the trade-off between achieved performance and measurement requirements.
