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 [计算机科学与技术];
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
收藏
页码:998 / 1003
页数:6
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