Intelligent wireless communications enabled by cognitive radio and machine learning
The ability to intelligently utilize resources to meet the need of growing diversity in services
and user behavior marks the future of wireless communication systems. Intelligent wireless …
and user behavior marks the future of wireless communication systems. Intelligent wireless …
[HTML][HTML] Recent advances on artificial intelligence and learning techniques in cognitive radio networks
Cognitive radios are expected to play a major role towards meeting the exploding traffic
demand over wireless systems. A cognitive radio node senses the environment, analyzes …
demand over wireless systems. A cognitive radio node senses the environment, analyzes …
20 years of evolution from cognitive to intelligent communications
It has been 20 years since the concept of cognitive radio (CR) was proposed, which is an
efficient approach to provide more access opportunities to connect massive wireless …
efficient approach to provide more access opportunities to connect massive wireless …
Spectrum intelligent radio: Technology, development, and future trends
The advent of Industry 4.0 with massive connectivity places significant strains on the current
spectrum resources, and challenges the industry and regulators to respond promptly with …
spectrum resources, and challenges the industry and regulators to respond promptly with …
Evolution and future trends of research in cognitive radio: a contemporary survey
The cognitive radio (CR) paradigm for designing next‐generation wireless communications
systems is becoming increasingly popular, and different aspects of it are being implemented …
systems is becoming increasingly popular, and different aspects of it are being implemented …
[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 …
Robust deep sensing through transfer learning in cognitive radio
Q Peng, A Gilman, N Vasconcelos… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
We propose a robust spectrum sensing framework based on deep learning. The received
signals at the secondary user's receiver are filtered, sampled and then directly fed into a …
signals at the secondary user's receiver are filtered, sampled and then directly fed into a …
Applications of machine learning to cognitive radio networks
C Clancy, J Hecker, E Stuntebeck… - IEEE Wireless …, 2007 - ieeexplore.ieee.org
Cognitive radio offers the promise of intelligent radios that can learn from and adapt to their
environment. To date, most cognitive radio research has focused on policy-based radios that …
environment. To date, most cognitive radio research has focused on policy-based radios that …
Cognitive radio networking and communications: An overview
Cognitive radio (CR) is the enabling technology for supporting dynamic spectrum access:
the policy that addresses the spectrum scarcity problem that is encountered in many …
the policy that addresses the spectrum scarcity problem that is encountered in many …
Advances in cognitive radio networks: A survey
With the rapid deployment of new wireless devices and applications, the last decade has
witnessed a growing demand for wireless radio spectrum. However, the fixed spectrum …
witnessed a growing demand for wireless radio spectrum. However, the fixed spectrum …