Cognitive radio network management

CX Wang, HH Chen, X Hong… - IEEE Vehicular …, 2008 - ieeexplore.ieee.org
The regulatory agencies have been pushed by the increasing demand for wireless
ubiquitous connectivity to be ever more aggressive in providing innovative ways to use …

Smart sensing enabled dynamic spectrum management for cognitive radio networks

M Fraz, MMA Muslam, M Hussain, R Amin… - Frontiers in Computer …, 2023 - frontiersin.org
Cognitive Radio Networks (CRNs) have ushered in a transformative era in wireless
communication, reshaping the landscape of radio spectrum utilization and management. At …

[引用][C] Artificial neural network based learning in cognitive radio

M Venkatesan, AV Kulkarni, R Menon - Proc. of Int. Conf. on Advances in …, 2013

Machine learning based spectrum prediction in cognitive radio networks

P Pandian, C Selvaraj, N Bhalaji… - … on Networking and …, 2023 - ieeexplore.ieee.org
According to the Cisco's white paper for the year 2018-2023, machine-to-machine (M2M)
connections are mentioned as the first fastest growing connections, with a 2.4 fold increase …

Advances and emerging challenges in cognitive internet-of-things

F Li, KY Lam, X Li, Z Sheng, J Hua… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The evolution of Internet of Things (IoT) devices and their adoption in new generation
intelligent systems has generated a huge demand for wireless bandwidth. This bandwidth …

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 …

Entropy based exploration in cognitive radio networks using deep reinforcement learning for dynamic spectrum access

MJ Liston, KR Dandekar - 2021 IEEE 21st Annual Wireless and …, 2021 - ieeexplore.ieee.org
This paper details the practical design of a Cognitive Radio network which uses multi-agent
Deep Reinforcement Learning for dynamic spectrum access. Each network node evaluates …

Enhanced multi-parameter cognitive architecture for future wireless communications

F Gao, K Zhang - IEEE Communications Magazine, 2015 - ieeexplore.ieee.org
The very original concept of cognitive radio raised by Mitola targets at all the environment
parameters, including those in the physical, MAC, and application layers, as well as the …

Multiband spectrum access: Great promises for future cognitive radio networks

G Hattab, M Ibnkahla - Proceedings of the IEEE, 2014 - ieeexplore.ieee.org
Cognitive radio has been widely considered as one of the prominent solutions to tackle the
spectrum scarcity. While the majority of existing research has focused on single-band …

Performance evaluation of artificial neural network-based learning schemes for cognitive radio systems

A Katidiotis, K Tsagkaris, P Demestichas - Computers & Electrical …, 2010 - Elsevier
Over the last decade the world of wireless communications has been undergoing some
crucial changes, which have brought it at the forefront of international research and …