Fuzzy logic for cross-layer optimization in cognitive radio networks

被引：34

作者：

Baldo, Nicola ^{[1
]}

Zorzi, Michele ^{[1
]}

机构：

[1] Univ Padua, I-35100 Padua, Italy

来源：

IEEE COMMUNICATIONS MAGAZINE | 2008年 / 46卷 / 04期

关键词：

D O I：

10.1109/MCOM.2008.4481342

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The search for the ultimate architecture for cross-layer optimization in cognitive radio networks is characterized by challenges such as modularity, interpretability, imprecision, scalability, and complexity constraints. In this article 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

页码：64 / 71

页数：8

共 16 条

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BANDHOLZ M, 2006, IWCMC 06, P1447

[2] A NEURAL-NETWORK APPROACH TO SOLVING THE LINK ACTIVATION PROBLEM IN MULTIHOP RADIO NETWORKS [J].