Cooperative spectrum sensing in cognitive radio networks: A systematic review

S Jain, AK Yadav, R Kumar… - Recent Advances in …, 2023 - ingentaconnect.com
Background: Spectrum is the backbone for wireless communications, including internet
services. Nowadays, the business of industries providing wired communication is constant …

[HTML][HTML] A survey on soft computing techniques for spectrum sensing in a cognitive radio network

G Eappen, T Shankar - SN Computer Science, 2020 - Springer
The need for faster wireless connectivity is increasing rapidly in all the sectors of the
technologies. Whether it is a patient monitoring system, military application, entertainment …

[HTML][HTML] Primary user characterization for cognitive radio wireless networks using a neural system based on deep learning

D López, E Rivas, O Gualdron - Artificial Intelligence Review, 2019 - Springer
Cognitive radio is a paradigm that proposes maximizing the utilization of the usable radio-
electric spectrum, allowing licensed users (PUs) and non-licensed users (SUs) to …

[HTML][HTML] Scalable and robust ANN based cooperative spectrum sensing for cognitive radio networks

RR Jaglan, R Mustafa, S Agrawal - Wireless Personal Communications, 2018 - Springer
Cognitive radio network (CRN) supports dynamic spectrum access addressing spectrum
scarcity issue experienced by today's wireless communication network. Sensing is an …

Cooperative spectrum sensing optimization based adaptive neuro-fuzzy inference system (ANFIS) in cognitive radio networks

MM Mabrook, HA Taha, AI Hussein - Journal of Ambient Intelligence and …, 2022 - Springer
The tremendous growth of the wireless communications and their applications stimulate the
urgent need to keep on the available radio spectrum. As a result, cognitive radio (CR) …

Survey of artificial intelligence approaches in cognitive radio networks

YEL Morabit, F Mrabti, EH Abarkan - Journal of information and …, 2019 - koreascience.kr
This paper presents a comprehensive survey of various artificial intelligence (AI) techniques
implemented in cognitive radio engine to improve cognition capability in cognitive radio …

[HTML][HTML] Improved Spectrum Prediction Model for Cognitive Radio Networks Using Hybrid Deep Learning Technique

MG Sumithra, M Suriya - International Journal of Intelligent Networks, 2024 - Elsevier
Cognitive Radio (CR) technology has been highlighted as one of the most likely answers to
the issue of spectrum shortage with the rise of fifth generation and beyond communication …

Artificial Intelligence Techniques in Cognitive Radio Networks Applications

K Pal - Spectrum and Power Allocation in Cognitive Radio …, 2024 - igi-global.com
Cognitive radios (CRs) are intelligent wireless sensor devices that sense, learn, and adapt
to real-time operating environments. One of the essential characteristics of a CR-based …

From sensing to predictions and database technique: a review of TV white space information acquisition in cognitive radio networks

HK Anabi, R Nordin, OB Abdulghafoor, A Sali… - Wireless Personal …, 2017 - Springer
Strategies to acquire white space information is the single most significant functionality in
cognitive radio networks (CRNs) and as such, it has gone some evolution to enhance …

Machine learning applied to an RF communication channel

M McCaskey, E Kukura, R Corrigan… - NAECON 2018-IEEE …, 2018 - ieeexplore.ieee.org
In this paper we introduce a model of a node-to-node communication channel as an auto-
encoder neural network where the inputs and outputs represent the transmitted and …