Learning and adaptation in cognitive radios using neural networks

被引：51

作者：

Baldo, Nicola ^{[1
]}

Zorzi, Michele ^{[1
]}

机构：

[1] Univ Padua, Dept Informat Engn, I-35100 Padua, Italy

来源：

2008 5TH IEEE CONSUMER COMMUNICATIONS AND NETWORKING CONFERENCE, VOLS 1-3 | 2008年

关键词：

D O I：

10.1109/ccnc08.2007.229

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The estimation of the communication performance achievable with respect to environmental factors and configuration parameters plays a key role in the optimization process performed by a Cognitive Radio according to the original definition by Mitola [1]. In this paper we propose the use of Multilayered Feedforward Neural Networks as an effective technique for real-time characterization of the communication performance which is based on measurements carried out by the device and therefore offers some interesting learning capabilities.

引用

页码：998 / 1003

页数：6

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