[HTML][HTML] Analysis of spectrum sensing using deep learning algorithms: CNNs and RNNs

A Kumar, N Gaur, S Chakravarty, MH Alsharif… - Ain Shams Engineering …, 2024 - Elsevier
Spectrum sensing is a critical component of cognitive radio systems, enabling the detection
and utilization of underutilized frequency bands. Convolutional neural networks (CNNs) and …

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 …

Cooperative Multiband Spectrum Sensing Using Radio Environment Maps and Neural Networks

Y Molina-Tenorio, A Prieto-Guerrero… - Sensors, 2023 - mdpi.com
Cogitive radio networks (CRNs) require high capacity and accuracy to detect the presence
of licensed or primary users (PUs) in the sensed spectrum. In addition, they must correctly …

Optimized statistical beamforming for cooperative spectrum sensing in cognitive radio networks

UM Al-Saggaf, J Ahmad, MA Alrefaei, M Moinuddin - Mathematics, 2023 - mdpi.com
In cognitive radio (CR), cooperative spectrum sensing (CSS) employs a fusion of multiple
decisions from various secondary user (SU) nodes at a central fusion center (FC) to detect …

[HTML][HTML] RNN-BIRNN-LSTM based spectrum sensing for proficient data transmission in cognitive radio

EV Vijay, K Aparna - e-Prime-Advances in Electrical Engineering …, 2023 - Elsevier
With the advancements that are taking place in the wireless communications field, the
number of users who are utilizing resources is also increasing; as a result, the wireless …

[PDF][PDF] A Double Threshold Energy Detection-Based Neural Network for Cognitive Radio Networks.

NM Elfatih, ES Ali, M Abdelhaq… - … Systems Science & …, 2023 - cdn.techscience.cn
In cognitive radio networks (CoR), the performance of cooperative spectrum sensing is
improved by reducing the overall error rate or maximizing the detection probability. Several …

Support vector machine approach of malicious user identification in cognitive radio networks

K Arshid, Z Jianbiao, I Hussain, GG Lema, M Yaqub… - Wireless …, 2022 - Springer
In cognitive radio network (CRN), effective spectrum management provides better quality of
service. The spectrum is limited but the significance of the spectrum is increasing at each …

Cognitive energy-aware spectrum sensing with improved throughput for medical sensor networks

S Surekha, MZU Rahman - IEEE Sensors Letters, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) based medical devices equipped with biosensors are installed at the
patient's location to collect sensitive information, such as body temperature, heart rate, blood …

1-D Convolutional Neural Network-Based Models for Cooperative Spectrum Sensing

O Serghini, H Semlali, A Maali, A Ghammaz, S Serrano - Future Internet, 2023 - mdpi.com
Spectrum sensing is an essential function of cognitive radio technology that can enable the
reuse of available radio resources by so-called secondary users without creating harmful …

[HTML][HTML] Spectrum sensing using deep learning for proficient data transmission in wireless sensor networks for wireless communication

EV Vijay, K Aparna - Ain Shams Engineering Journal, 2024 - Elsevier
Cognitive radio has been recommended for enhancing wireless spectrum usage, and an
important part of cognitive radio is spectrum sensing. Conventional spectrum sensing …