[HTML][HTML] Multi-step-ahead spectrum prediction for cognitive radio in fading scenarios

FGM Elias, EMG Fernández… - Journal of Microwaves …, 2020 - SciELO Brasil
… Yang, “A spectrum prediction-based frequency band pre-… prediction function and ε is called
limit value. The function ϕ(x) … future-data window by aggregating the binary values within a …

Spectrum sensing, clustering algorithms, and energy-harvesting technology for cognitive-radio-based internet-of-things networks

X Fernando, G Lăzăroiu - Sensors, 2023 - mdpi.com
… scarcity and capacity constraints of the standard radioSpectrum-prediction-based sensing
schemes reduce the … Clustering and data aggregation are decisive in IoT-based wireless

Cooperative spectrum sensing in energy harvesting cognitive radio networks under diverse distribution models

B Talukdar, D Kumar, S Hoque, W Arif - 5G and Beyond Wireless Systems …, 2021 - Springer
… like carrier aggregation, cognitive beamforming, cognitive … We use prediction-based sensing
for local as well as global … the frame because of energy constraints. The prediction-sensing …

QoS provisioning and energy saving scheme for distributed cognitive radio networks using deep learning

MC Hlophe, BT Maharaj - … of Communications and Networks, 2020 - ieeexplore.ieee.org
… services with stringent QoS constraints require resources to … network equipment to achieve
energy efficiency and network … simulator in [42], aggregating it into data points separated by …

Advances in Machine Learning-Driven Cognitive Radio for Wireless Networks: A Survey

NA Khalek, DH Tashman… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
… [37] surveyed the impact of the IoT on the healthcare industry addressing both hardware
and … in mobile and wireless networks, highlighting the limitations of traditional cybersecurity …

[PDF][PDF] Machine Learning-Based Full Duplex Communications and Cognitive Radio Networks

Y Zhang - 2022 - kclpure.kcl.ac.uk
… dynamicrange of ADC sets a limitation on the amount of SIS. … practical hardware impairments
in FD-FR2 networks and next… the FC for result aggregation and spectral decision making. …

Predicting dynamic spectrum allocation: a review covering simulation, modelling, and prediction

AC Cullen, BIP Rubinstein, S Kandeepan… - Artificial Intelligence …, 2023 - Springer
spectral environment, cost increases, and access constraintsSoftware Defined Radios
(SDRs) and Cognitive Radios, to … upon without having the supporting hardware and software to …

When spectrum sharing in cognitive networks meets deep reinforcement learning: Architecture, fundamentals, and challenges

J Si, R Huang, Z Li, H Hu, Y Jin, J Cheng… - … Network, 2023 - ieeexplore.ieee.org
… to address the limitations of spectrum sharing for CNs [2], [3]. … highly dynamic networks,
a future cognitive wireless network … (eg, time series prediction based on deep learning, CN …

A Review of Research on Spectrum Sensing Based on Deep Learning

Y Zhang, Z Luo - Electronics, 2023 - mdpi.com
… applications and constructing cognitive radio networks [6] … and disadvantages of the three
traditional spectrum-sensing … They addressed the dynamic spectrum sensing and aggregation

Spectral-Temporal Model for Opportunistic Spectrum Access in Cognitive Radio Networks

MMH Galib, MF Younis… - … and Networking, 2023 - ieeexplore.ieee.org
… Contribution: To address the limitations of sensing-only based … of a single learning network
that aggregates all dynamics and … Realization of the entire prediction-based ST-SNN system …