Performance analysis of the cognitive radio network with opportunistic spectrum access

R Chęciński, A Kaszuba-Chęcińska… - … Journal of Electronics …, 2018 - yadda.icm.edu.pl
Efficient access to the spectral resources becomes a challenge for future military wireless
communication systems. It requires spectral situation awareness, knowledge of current …

A superprocess with upper confidence bounds for cooperative spectrum sharing

M Lopez-Martinez, JJ Alcaraz, L Badia… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Cooperative Spectrum Sharing (CSS) is an appealing approach for primary users (PUs) to
share spectrum with secondary users (SUs) because it increases the transmission range or …

Algorithms for spectrum allocation in cognitive radio networks

C Hernández, LF Pedraza Martínez… - Tecnura, 2016 - scielo.org.co
Contexto: La asignación de espectro en las redes de radio cognitiva es un aspecto clave
para reducir la latencia, incrementar la tasa de datos, aumentar el ancho de banda, mejorar …

[HTML][HTML] Tecnicas inteligentes en la asignacion de espectro dinamica para redes inalambricas cognitivas

C Salgado, H Márquez, V Gómez - tecnura, 2016 - scielo.org.co
Abstract SALGADO, Camila; MARQUEZ, Hans and GOMEZ, Víctor. Tecnicas inteligentes en
la asignacion de espectro dinamica para redes inalambricas cognitivas. Tecnura [online] …

Sensing statistical primary network patterns via Bayesian network structure learning

W Han, H Sang, X Ma, J Li, Y Zhang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In cognitive radio (CR) technology, the trend of sensing is no longer to only detect the
presence of active primary users, as a large number of applications demand for more …

DeepFoldit--A Deep Reinforcement Learning Neural Network Folding Proteins

DN Panou, M Reczko - arXiv preprint arXiv:2011.03442, 2020 - arxiv.org
Despite considerable progress, ab initio protein structure prediction remains suboptimal. A
crowdsourcing approach is the online puzzle video game Foldit, that provided several useful …

动态频谱接入的Q 学习优化算法

黄影, 严定宇, 李男 - 西安电子科技大学学报, 2015 - cqvip.com
在认知无线电网络的中心架构下针对网络整体性能和用户需求, 提出一种基于Q
学习的动态频谱接入优化算法. 该算法通过认知用户根据Q 学习算法提出信道申请和控制节点; …

Recent Advances on artificial intelligence in cognitive radio networks

B Benmammar - International Journal of Wireless Networks and …, 2020 - igi-global.com
Cognitive radio is a form of wireless communication that makes decisions about allocating
and managing radio resources after detecting its environment and analyzing the parameters …

A reinforcement learning approach to ARQ feedback-based multiple access for cognitive radio networks

SA Attalla, KG Seddik, AA El-Sherif… - 2021 IEEE 18th Annual …, 2021 - ieeexplore.ieee.org
In this paper, we propose a reinforcement learning (RL) approach to design an access
scheme for secondary users (SUs) in a cognitive radio (CR) network. In the proposed …

Comparative performance investigation of supervised and unsupervised learning outlines applied in cognitive radio systems

M Venkatesan, AVK Kulkarni - Wireless Personal Communications, 2016 - Springer
A Cognitive Radio is an intelligent wireless communication arrangement that is conscious of
its surrounding environment, and has ability to learn from the situation and adapt its internal …