Research Article
A fuzzy-neural based approach for joint radio resource management in a beyond 3G framework
@INPROCEEDINGS{10.1109/QSHINE.2004.3, author={R. Agusti, and O. Salient and J. Perez-Romero and L. Giupponi}, title={A fuzzy-neural based approach for joint radio resource management in a beyond 3G framework}, proceedings={1st International ICST Conference on Quality of Service in Heterogeneous Wired/Wireless Networks}, publisher={IEEE}, proceedings_a={QSHINE}, year={2004}, month={12}, keywords={}, doi={10.1109/QSHINE.2004.3} }- R. Agusti,
O. Salient
J. Perez-Romero
L. Giupponi
Year: 2004
A fuzzy-neural based approach for joint radio resource management in a beyond 3G framework
QSHINE
IEEE
DOI: 10.1109/QSHINE.2004.3
Abstract
This paper presents a comprehensive framework to develop joint RRM (radio resource management) strategies taking full advantage of the reconfigurable equipment capabilities and the diversity offered by available RATs (radio access technologies) in a multi-radio environment. The envisaged JRRM treatment calls for establishing links with all the entities involved, first at functional level, identifying realistic scenarios in terms of deployment, technologies and services, and managing the emerging complexity with proper algorithms. Then, a fuzzy-neural methodology framework able to cope with the complexities and uncertainties these new scenarios rise is presented. In particular both technical and economical aspects are considered when selecting a particular RAT. Finally some significant examples of the algorithm behaviour are shown.
