Intelligent wireless communications enabled by cognitive radio and machine learning

X Zhou, M Sun, GY Li, BHF Juang - China Communications, 2018 - ieeexplore.ieee.org
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 …

20 years of evolution from cognitive to intelligent communications

Z Qin, X Zhou, L Zhang, Y Gao… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
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 …

[HTML][HTML] Recent advances on artificial intelligence and learning techniques in cognitive radio networks

N Abbas, Y Nasser, KE Ahmad - EURASIP Journal on Wireless …, 2015 - Springer
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 …

Spectrum intelligent radio: Technology, development, and future trends

P Cheng, Z Chen, M Ding, Y Li… - IEEE …, 2020 - ieeexplore.ieee.org
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 …

Evolution and future trends of research in cognitive radio: a contemporary survey

E Hossain, D Niyato, DI Kim - Wireless Communications and …, 2015 - Wiley Online Library
The cognitive radio (CR) paradigm for designing next‐generation wireless communications
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 …

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 …

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 …

Cognitive radio networking and communications: An overview

YC Liang, KC Chen, GY Li… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
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 …

Advances in cognitive radio networks: A survey

B Wang, KJR Liu - IEEE Journal of selected topics in signal …, 2010 - ieeexplore.ieee.org
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 …