Knowledge management toolbox: machine learning for cognitive radio networks
Learning mechanisms are essential for the attainment of experience and knowledge in
cognitive radio (CR) systems, exposed to high dynamics with often unpredictable states [1] …
cognitive radio (CR) systems, exposed to high dynamics with often unpredictable states [1] …
Context learning and configuration selection for cognitive device management
D Petromanolakis, Y Kritikou… - VTC Spring 2009 …, 2009 - ieeexplore.ieee.org
According to the B3G concept, diverse radio access technologies (RATs) can converge into
one composite radio environment, where the user is" always best connected" and can move …
one composite radio environment, where the user is" always best connected" and can move …
Neural network-based learning schemes for cognitive radio systems
K Tsagkaris, A Katidiotis, P Demestichas - Computer communications, 2008 - Elsevier
Intelligence is needed to keep up with the rapid evolution of wireless communications,
especially in terms of managing and allocating the scarce, radio spectrum in the highly …
especially in terms of managing and allocating the scarce, radio spectrum in the highly …
Cognitive radio realities
B Le, TW Rondeau, CW Bostian - … Communications and Mobile …, 2007 - Wiley Online Library
A cognitive radio (CR) is a transceiver that is aware, adaptive, and capable of learning. It
may be visualized and realized as an intelligent software package (cognitive engine) …
may be visualized and realized as an intelligent software package (cognitive engine) …
A survey on machine-learning techniques in cognitive radios
In this survey paper, we characterize the learning problem in cognitive radios (CRs) and
state the importance of artificial intelligence in achieving real cognitive communications …
state the importance of artificial intelligence in achieving real cognitive communications …
Learning and reasoning in cognitive radio networks
L Gavrilovska, V Atanasovski… - … Surveys & Tutorials, 2013 - ieeexplore.ieee.org
Cognitive radio networks challenge the traditional wireless networking paradigm by
introducing concepts firmly stemmed into the Artificial Intelligence (AI) field, ie, learning and …
introducing concepts firmly stemmed into the Artificial Intelligence (AI) field, ie, learning and …
[图书][B] Artificial intelligence in wireless communications
TW Rondeau, CW Bostian - 2009 - books.google.com
This cutting-edge resource offers practical overview of cognitive radio, a paradigm for
wireless communications in which a network or a wireless node changes its transmission or …
wireless communications in which a network or a wireless node changes its transmission or …
Feed forward neural network based learning scheme for cognitive radio systems
V Gatla, M Venkatesan… - … Technology (CIIT 2013), 2013 - ieeexplore.ieee.org
Intelligence is needed to keep up with the rapid evolution of wireless communications,
especially in terms of managing and allocating the scarce, radio spectrum in the highly …
especially in terms of managing and allocating the scarce, radio spectrum in the highly …
Self-organizing maps for improving the channel estimation and predictive modelling phase of cognitive radio systems
Rapid evolution of wireless communications, especially in terms of managing and allocating
the scarce, radio spectrum in the highly varying and disparate modern environments asks for …
the scarce, radio spectrum in the highly varying and disparate modern environments asks for …
Machine learning applied to cognitive communications
Rapid evolution of technologies, especially in user terminals, produces a vast amount of
data, arising from (a) services/applications, that is service data,(b) users, that is user data or …
data, arising from (a) services/applications, that is service data,(b) users, that is user data or …