[PDF][PDF] Spectrum Occupancy Prediction using Deep Learning Techniques for Next Generation Wireless Communications
N Radhakrishnan - 2022 - researchrepository.rmit.edu.au
Abstract 1 1 Introduction 4 1.1 Background.................................. 4 1.2 Motivation..........................
......... 5 1.3 SpectrumManagement............................ 6 1.3. 1 RegulatoryPerspective …
......... 5 1.3 SpectrumManagement............................ 6 1.3. 1 RegulatoryPerspective …
A survey of artificial neural network based spectrum inference for occupancy prediction in cognitive radio networks
MH Naikwadi, KP Patil - 2020 4th International Conference on …, 2020 - ieeexplore.ieee.org
Spectrum being a natural resource is always limited in availability. Its use needs to be
intelligently managed for maximum benefits, hence the idea of Cognitive Radio. If the …
intelligently managed for maximum benefits, hence the idea of Cognitive Radio. If the …
Ensemble Autoregressive Neural Network (ARNN) Model for Spectrum Occupancy Prediction
A secondary spectrum user cannot transmit in a channel before sensing and knowing the
spectrum occupancy state as this may cause interference. This poses a major challenge …
spectrum occupancy state as this may cause interference. This poses a major challenge …
K-Means Clustering Assisted Spectrum Utilization Prediction with Deep Learning Models
The radio spectrum is a finite and scarce resource needed to transport data generated by
existing and emerging wireless mobile networks and services. As the demand for wireless …
existing and emerging wireless mobile networks and services. As the demand for wireless …
Spectrum Inference in Cognitive Radio Networks with Machine Learning
MH Naikwadi, KP Patil - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Wireless radio spectrum is a limited resource. Increasing demand for more spectrum bands
has led to the notion of its efficient and intelligent utilization. Cognitive radio technology is …
has led to the notion of its efficient and intelligent utilization. Cognitive radio technology is …
Deep RL-based spectrum occupancy prediction exploiting time and frequency correlations
In cognitive radio systems, predicting spectrum occupancies is a convenient alternative way
to continuous spectrum sensing. It can provide information on spectrum usage and so empty …
to continuous spectrum sensing. It can provide information on spectrum usage and so empty …
Spectrum occupancy prediction for realistic traffic scenarios: Time series versus learning-based models
Spectrum occupancy information is necessary in a cognitive radio network (CRN) as it helps
in modeling and predicting the spectrum availability for efficient dynamic spectrum access …
in modeling and predicting the spectrum availability for efficient dynamic spectrum access …
A multilayer perceptron neural network-based spectrum prediction approach with gray decision
In cognitive radio networks (CRNs), spectrum prediction for inferring spectrum availability
can help unlicensed users to discover spectrum holes earlier and to improve spectrum …
can help unlicensed users to discover spectrum holes earlier and to improve spectrum …
[PDF][PDF] A survey on spectrum prediction methods in cognitive radio networks
S Tidjani, Z Hammoudi - International Journal of Computing, 2019 - academia.edu
The optimization of spectrum usage using cognitive radio methods is one of the actual
issues which takes a lot of attention through the latest researches to overcome spectrum …
issues which takes a lot of attention through the latest researches to overcome spectrum …
Spectrum sensing and prediction for 5g radio
In future wireless networks, it is crucial to find a way to precisely evaluate the degree of
spectrum occupation and the exact parameters of free spectrum band at a given moment …
spectrum occupation and the exact parameters of free spectrum band at a given moment …