Fuzzy Logic for cross-layer optimization in cognitive radio networks

被引：7
|
作者：
Baldo, Nicola [1 ]
Zorz, Michele [1 ]
机构：
[1] Univ Padua, Dept Informat Engn, I-35100 Padua, Italy
来源：
2007 4TH IEEE CONSUMER COMMUNICATIONS AND NETWORKING CONFERENCE, VOLS 1-3 | 2007年
关键词：
D O I：
10.1109/CCNC.2007.227
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The search for the ultimate architecture for cross-layer 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.
引用
收藏
页码：1128 / 1133
页数：6
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