Spectrum sensing in cognitive radio networks and metacognition for dynamic spectrum sharing between radar and communication system: A review

SK Agrawal, A Samant, SK Yadav - Physical Communication, 2022 - Elsevier
The massive growth in mobile users and wireless technologies has resulted in increased
data traffic and created demand for additional radio spectrum. This growing demand for …

Cooperative relay spectrum sensing for cognitive radio network: Mutated MWOA-SNN approach

G Eappen, T Shankar, R Nilavalan - Applied Soft Computing, 2022 - Elsevier
The spectrum overcrowding is one of the prime issues faced by wireless telecommunication
based applications. The network blockage causing the disconnection or call drops is …

Probabilistic spectrum sensing based on feature detection for 6G cognitive radio: A survey

A Ivanov, K Tonchev, V Poulkov, A Manolova - IEEE Access, 2021 - ieeexplore.ieee.org
With the advent of Sixth Generation (6G) telecommunication systems already envisioned,
increased effort is made to further develop current communication technologies, so they can …

Denoised Jarque-Bera features-based K-Means algorithm for intelligent cooperative spectrum sensing

AA Radhi, HN Abdullah, HAR Akkar - Digital Signal Processing, 2022 - Elsevier
This paper aims to boost the blind perception performance of a cooperative spectrum
sensing system in a noisy environment. A novel intelligent centralized-cooperative spectrum …

Smart contract-based secure cooperative spectrum sensing algorithm

C Ji, Q Zhu - International Journal of Distributed Sensor …, 2021 - journals.sagepub.com
Spectrum sensing is the key technology of cognitive radio. In this article, we apply
blockchain technology in spectrum sensing process and propose a related algorithm based …

[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 …

Centralized spectrum sensing based on covariance matrix decomposition and particle swarm clustering

J Zhuang, Y Wang, P Wan, S Zhang, Y Zhang - Physical Communication, 2021 - Elsevier
As the essential technology of cognitive radio networks, numerous spectrum sensing
approaches have been established to date. However, some spectrum sensing methods …

Advanced squirrel algorithm‐trained neural network for efficient spectrum sensing in cognitive radio‐based air traffic control application

G Eappen, T Shankar, R Nilavalan - IET communications, 2021 - Wiley Online Library
In the current scenario, there is a drastic increase in air traffic. The air to ground
communication plays a crucial role in the air traffic control system. There is a limited …

A dynamic channel aggregation strategy with a maximum aggregation number in cognitive radio networks based on channel classification

Y Zhao, S Yuan, Y Li, H Gao - Computer Communications, 2024 - Elsevier
In traditional cognitive radio networks (CRNs), users are generally divided into two
categories: primary users (PUs) and secondary users (SUs). The transmission rates of …

Co-variance Based Adaptive Threshold Spectrum Detection Optimized with Chameleon Swarm Optimization for Optimum Threshold Selection in Cognitive Radio …

C Charan, R Pandey - Wireless Personal Communications, 2023 - Springer
In cognitive radio networks, Spectrum sensing is most important task for avoiding the
unacceptable interference to primary users. The performance of spectrum sensing is based …