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Fuzzy Neural Control for Economic-Driven Radio Resource Management in Beyond 3G Networks

Author
Giupponi, L.; Agusti, R.; Perez-Romero, J.; Sallent, J.
Type of activity
Journal article
Journal
IEEE transactions on systems man and cybernetics Part C-applications and reviews
Date of publication
2009-02-24
Volume
39
Number
2
First page
170
Last page
189
DOI
https://doi.org/10.1109/TSMCC.2008.2001724 Open in new window
URL
http://ieeexplore.ieee.org/document/4787023/ Open in new window
Abstract
Joint radio resource management (JRRM) is the envisaged process aimed at optimizing the radio resource usage of wireless systems to satisfy the requirements of both the network operators and the users in the context of future generation wireless networks. In particular, this paper proposes a two-layered JRRM framework to improve the efficiency of multiradio and multioperator cellular scenarios. On the one hand, the intraoperator JRRM relies on fuzzy neural mechanisms with economic-driven reinfor...
Keywords
Beyond 3G networks, fuzzy neural control, interface selection, joint radio resource management
Group of research
CCABA - Advanced Broadband Communications Center
GRCM - Mobile Communication Reserach Group

Participants