Channel quality prediction based on Bayesian inference in cognitive radio networks

X Xing, T Jing, Y Huo, H Li… - 2013 Proceedings IEEE …, 2013 - ieeexplore.ieee.org
The problem of channel quality prediction in cognitive radio networks is investigated in this
paper. First, the spectrum sensing process is modeled as a Non-Stationary Hidden Markov …

Cognitive radio networks: a comprehensive review

N Gupta, SK Dhurandher, B Kumar - … of research on the IoT, cloud …, 2019 - igi-global.com
The radio spectrum is witnessing a major paradigm shift from fixed spectrum assignment
policy to the dynamic spectrum access, which will completely change the way radio …

Joint optimization of sensing time and decision thresholds for wideband cognitive ofdm radio networks

J He, C Xu, L Li - 2010 - IET
Cognitive radio (CR) has the ability to sense the wireless channel and make use of the
vacant spectrum bands. One of the main challenges in CR systems lies in striking a balance …

Resource allocation for multi-channel underlay cognitive radio network based on deep neural network

W Lee - IEEE Communications Letters, 2018 - ieeexplore.ieee.org
In this letter, a resource allocation strategy based on a deep neural network (DNN) is
proposed for multi-channel cognitive radio networks, where the secondary user (SU) …

Simple channel sensing order in cognitive radio networks

HT Cheng, W Zhuang - IEEE Journal on Selected Areas in …, 2011 - ieeexplore.ieee.org
In cognitive radio networks (CRNs), effective and efficient channel exploitation is imperative
for unlicensed secondary users to seize available network resources and improve resource …

Energy-efficient multichannel cooperative sensing scheduling with heterogeneous channel conditions for cognitive radio networks

S Eryigit, S Bayhan, T Tugcu - IEEE transactions on vehicular …, 2013 - ieeexplore.ieee.org
Spectrum sensing is an important aspect of cognitive radio networks (CRNs). Secondary
users (SUs) should periodically sense the channels to ensure primary-user (PU) protection …

Deep reinforcement learning for resource allocation with network slicing in cognitive radio network

S Yuan, Y Zhang, W Qie, T Ma, S Li - Computer Science and …, 2021 - doiserbia.nb.rs
With the development of wireless communication technology, the requirement for data rate is
growing rapidly. Mobile communication system faces the problem of shortage of spectrum …

Energy-efficient resource allocation for OFDM-based cognitive radio networks

S Wang, M Ge, W Zhao - IEEE transactions on communications, 2013 - ieeexplore.ieee.org
In this paper, we investigate the energy-efficient resource allocation in orthogonal frequency
division multiplexing (OFDM)-based cognitive radio (CR) networks, where we try to …

General scheme for always transmit solution in cognitive radio systems

M Ridouani, A Hayar - ICT 2013, 2013 - ieeexplore.ieee.org
Cognitive radio is a promising technology that uses radio spectrum opportunistically and
efficiently. In this paper, we propose a general scheme for enhancing the cognitive sources …

Multimedia over cognitive radio networks: Towards a cross-layer scheduling under Bayesian traffic learning

XL Huang, G Wang, F Hu, S Kumar, J Wu - Computer communications, 2014 - Elsevier
Mobility and spectrum change of the cognitive radio networks (CRNs), make the traffic
information exchange among the secondary users (SUs) a high-overhead task. In order to …