The search for the ultimate architecture for crosslayer optimization in cognitive radio networks is characterized by challenges such as modularity, scalability, complexity and interpretability constraints. In this paper we propose Fuzzy Logic as an effective means of meeting these challenges, as far as both knowledge representation and control implementation are concerned.
Fuzzy logic for cross-layer optimization in cognitive radio networks[cognitive radio communications and networks]
ZORZI, MICHELE
2008
Abstract
The search for the ultimate architecture for crosslayer optimization in cognitive radio networks is characterized by challenges such as modularity, scalability, complexity and interpretability constraints. In this paper we propose Fuzzy Logic as an effective means of meeting these challenges, as far as both knowledge representation and control implementation are concerned.
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