Reinforcement learning-based spectrum management for cognitive radio networks: A literature review and case study

M Di Felice, L Bedogni, L Bononi - Handbook of Cognitive Radio, 2019 - cris.unibo.it
In cognitive radio (CR) networks, the cognition cycle, ie, the ability of wireless transceivers to
learn the optimal configuration meeting environmental and application requirements, is …

Reinforcement learning based 5G enabled cognitive radio networks

RH Puspita, SDA Shah, G Lee, B Roh… - … on Information and …, 2019 - ieeexplore.ieee.org
Cognitive radio (CR) is a spectrum sharing technology that facilitates a hierarchal
coexistence between licensed and license-exempt users over licensed bands. One of the …

Cognitive radios for dynamic spectrum access: from concept to reality

KG Shin, H Kim, AW Min… - IEEE Wireless …, 2010 - ieeexplore.ieee.org
This article provides a comprehensive survey of cognitive radio technology, focusing on its
application to dynamic spectrum access, especially from the perspective of realizing …

[PDF][PDF] Cognitive wireless networks: Your network just became a teenager

P Mähönen, M Petrova, J Riihijärvi… - Proceedings of the …, 2006 - Citeseer
In this poster we discuss research challenges one needs to overcome to introduce intelligent
methods to wireless communications. Recent research on cognitive radios has started to …

Efficient Space Communication and Management (SCOaM) Using Cognitive Radio Networks Based on Deep Learning Techniques: Cognitive Radio in Space …

S Murugan, MG Sumithra - … Mining Applications in Data Analytics and …, 2019 - igi-global.com
The future of space communications has evolved towards being cognitive in order to
improve energy and spectrum efficiency. Nowadays, near-Earth space satellites for weather …

On using multi agent systems in cognitive radio networks: A survey

E Trigui, M Esseghir… - International Journal of …, 2012 - search.proquest.com
In the last decade, cognitive radio technology received a lot of consideration for spectrum
optimization. This issue creates huge opportunities for interesting research and …

Biologically inspired cognitive radio engine model utilizing distributed genetic algorithms for secure and robust wireless communications and networking

CJ Rieser - 2004 - search.proquest.com
This research focuses on developing a cognitive radio that could operate reliably in
unforeseen communications environments like those faced by the disaster and emergency …

Intelligence in wireless networks with cognitive radio networks! pushing frontiers with the first lady of emerging technologies

S Kaur - IETE Technical Review, 2013 - Taylor & Francis
Worldwide regulatory agencies have observed that most of the radio frequency spectrum is
inefficiently utilized. For example, cellular network frequency bands are over-loaded and …

Cognitive networks: adaptation and learning to achieve end-to-end performance objectives

RW Thomas, DH Friend, LA DaSilva… - IEEE …, 2006 - ieeexplore.ieee.org
In this article we advance the idea of a cognitive network, capable of perceiving current
network conditions and then planning, learning, and acting according to end-to-end goals …

Review on classical to deep spectrum sensing in cognitive radio networks

GK Shekhawat, RP Yadav - 2021 Sixth International …, 2021 - ieeexplore.ieee.org
Cognitive Radio (CR), a promising next-generation wireless network has been progressing
well that deals with the scant radio spectrum issues using a dynamic spectrum access …