Title :
Reconfigurable antennas in cognitive radio that can think for themselves?
Author :
Christodoulou, Christos G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of New Mexico, Albuquerque, NM, USA
Abstract :
This paper discusses the use of reconfigurable antennas in cognitive radio. Most of the emphasis on cognitive radio so far has been in the area of spectral estimation and signal classification. In this paper we show that once a cognitive device manages to learn the RF environment (cognition part), from past observations and decisions using machine learning techniques, we can use the collected data to train reconfigurable antennas to adapt to any change in the RF environment.
Keywords :
antennas; cognitive radio; learning (artificial intelligence); software radio; telecommunication computing; RF environment; cognitive device; cognitive radio; machine learning techniques; reconfigurable antennas; signal classification; spectral estimation; Adaptive arrays; Batteries; Cognition; Cognitive radio; Communication standards; Machine learning; Microwave antennas; Radar antennas; Radio frequency; Satellite antennas; cognitive learning; component; machine learning; reconfigurable antennas;
Conference_Titel :
Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2009 3rd IEEE International Symposium on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4076-4
DOI :
10.1109/MAPE.2009.5355912
