| Títol: | Exploiting knowledge management for supporting spectrum selection in cognitive radio networks |
| Autor: | Pérez Romero, Jordi
Bouali, Faouzi
Sallent Roig, José Oriol
Agustí Comes, Ramon |
| Altres autors/autores: | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
| Matèries: | Àrees temàtiques de la UPC::Enginyeria electrònica i telecomunicacions::Telemàtica i xarxes d'ordinadors::Serveis telemàtics i de comunicació multimèdia
Telecommunication systems
Telecomunicació, Sistemes de |
| Tipus de document: | Conference lecture |
| Descripció: | Abstract—In order to increase Cognitive Radio operation
efficiency, this paper builds up a new knowledge management
functional architecture for supporting spectrum management. It
integrates the fittingness factor concept proposed by the authors
in a prior work and includes a set of advanced statistics capturing
the influence of the radio environment. Then, a Knowledge
Manager (KM) exploiting these statistics and observed fittingness
factor values has been developed to monitor the time-varying
suitability of spectrum resources to support heterogeneous services.
Based on estimated suitability levels, a new strategy
combining Spectrum Selection (SS) and Spectrum Mobility (SM)
functionalities has been proposed. Results have shown that the
proposed strategy efficiently exploits the KM support at low loads
and the SM functionality at high loads to introduce significant
gains (ranging from 85% to 100%) w.r.t. a pure random selection
while exhibiting substantial robustness to changes in interference
levels. |
| Altres identificadors i accés: | Pérez-Romero, J. [et al.]. Exploiting knowledge management for supporting spectrum selection in cognitive radio networks. A: International Conference on Cognitive Radio Oriented Wireless Networks. "7th International Conference on Cognitive Radio Oriented Wireless Networks conference proceedings". Estocolm: 2012, p. 1-6.
http://hdl.handle.net/2117/16741
http://dx.doi.org/10.4108/icst.crowncom.2012.248148 |
| Disponible al dipòsit: | E-prints UPC
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