Cooperative spectrum sensing in cognitive radio networks: A systematic review
Background: Spectrum is the backbone for wireless communications, including internet
services. Nowadays, the business of industries providing wired communication is constant …
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
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 …
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 …
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 …
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
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) …
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 …
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 …
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 …
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
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 …
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 …
encoder neural network where the inputs and outputs represent the transmitted and …