A review of cognitive hybrid radio frequency/visible light communication systems for wireless sensor networks

RF Miranda, CH Barriquello, VA Reguera… - Sensors, 2023 - mdpi.com
The development and growth of Wireless Sensor Networks (WSNs) is significantly propelled
by advances in Radio Frequency (RF) and Visible Light Communication (VLC) technologies …

Graph-based resource allocation for integrated space and terrestrial communications

A Ivanov, K Tonchev, V Poulkov, A Manolova… - Sensors, 2022 - mdpi.com
Resource allocation (RA) has always had a prominent place in wireless communications
research due to its significance for network throughput maximization, and its inherent …

Optimal resource allocation for gaa users in spectrum access system using q-learning algorithm

W Abbass, R Hussain, J Frnda, IL Khan… - IEEE …, 2022 - ieeexplore.ieee.org
Spectrum access system (SAS) is a three-tier layered spectrum sharing architecture
proposed by the Federal Communications Commission (FCC) for Citizens Broadband Radio …

[PDF][PDF] Cyclostationary Algorithm for Signal Analysis in Cognitive 4G Networks with Spectral Sensing and Resource Allocation

RM Batyha, S Janani, SGH Rose… - International Journal …, 2022 - researchgate.net
Cognitive Radio (CR) effectively involved in the management of spectrum to perform
improved data transmission. CR system actively engaged in the data sensing, learning and …

A deep learning-based signal classification approach for spectrum sensing using long short-term memory (LSTM) networks

M Bkassiny - 2022 6th International Conference on Information …, 2022 - ieeexplore.ieee.org
Signal detection and identification plays an important role in cognitive radio (CR) and
spectrum sensing applications. This paper proposes a deep learning (DL) technique for …

Cognitive Radio with Machine Learning to Increase Spectral Efficiency in Indoor Applications on the 2.5 GHz Band

MD Soares, D Passos, PVG Castellanos - Sensors, 2023 - mdpi.com
Due to the propagation characteristics in the 2.5 GHz band, the signal is significantly
degraded by building entry loss (BEL), making coverage in indoor environments in some …

Artificial intelligence driven cognitive optimization and predictive analysis using blockchain privacy-based machine learning model

Y Qiu, C Zhang - Computers and Electrical Engineering, 2024 - Elsevier
According to the cognitive radio paradigm, spectrum sensing, decision-making, sharing, and
mobility phases can be integrated to enable both authorised and unauthorised users to …

Optimal Deep Learning Empowered Malicious User Detection for Spectrum Sensing in Cognitive Radio Networks

L Almuqren, M Maray, FA Alotaibi, A Alzahrani… - IEEE …, 2024 - ieeexplore.ieee.org
Malicious user recognition for spectrum sensing in Cognitive Radio Networks (CRNs) is a
serious safety feature to safeguard effective and trustworthy process of these systems …

A cognitive module for secondary radios operating at the 2.5 GHz LTE band on indoor environments

MD Soares, D Passos… - 2023 IEEE Symposium …, 2023 - ieeexplore.ieee.org
The 2.5 GHz band is allocated to licensed systems of the LTE. Due to the propagation
characteristics in this band, the signal is severely degraded by walls and other similar …

A Combined Survey on Machine Learning for Cognitive Radio Deployed on Secure WBAN Environments

MV Karthikeyan, T Sophia, MS Murugan… - Metaverse …, 2024 - igi-global.com
Wireless body area network (WBAN) security and cognitive radio networks (CRNs) are two
separate topics in the field of wireless communication, but they can be related in some ways …