Performance Analysis of Cooperative Spectrum Sensing using Empirical Mode Decomposition and Artificial Neural Network in Wireless Regional Area Network
S Jain, AK Yadav, R Kumar… - Recent Advances in …, 2024 - benthamdirect.com
Background: Radio spectrum is natural and the most precious means in wireless
communication systems. Optimal spectrum utilization is a key concern for today's cutting …
communication systems. Optimal spectrum utilization is a key concern for today's cutting …
[PDF][PDF] Comparative Analysis Of Energy Detection And Artificial Neural Network For Spectrum Sensing In Cognitive Radio
S Shah, RG Yelalwar - ICTACT Journal on Communication …, 2019 - researchgate.net
In today's wireless communication technology, spectrum occupancy is one of the major
challenge. To perform all the task in wireless communication intelligently, Cognitive Radio …
challenge. To perform all the task in wireless communication intelligently, Cognitive Radio …
[PDF][PDF] Smart Cognitive Cellular Network
S Khadim, A Waqar, A Zeb, I Khan… - Int. J. Future Gener …, 2017 - academia.edu
The number of wireless devices are increasing rapidly with the advent of technological
innovation. Many of these devices require large bandwidth, hence as a consequence …
innovation. Many of these devices require large bandwidth, hence as a consequence …
Neural networks in economic problems
W Sałabun, M Pietrzykowski - … of the 2015 Computational Methods in …, 2016 - Springer
In most of experimental research, we generally need to solve a problem of classification,
regression or time-series forecasting. On the other hand, artificial neural networks are …
regression or time-series forecasting. On the other hand, artificial neural networks are …
Identification of spectrum holes using ANN model in TV bands with AWGN
S Pattanayak, R Nandi… - 2014 IEEE Asia Pacific …, 2014 - ieeexplore.ieee.org
Here we propose an artificial neural network (ANN) model for spectrum sensing in TV band
specifically for detecting the presence of audio signals. The ANN model is trained with …
specifically for detecting the presence of audio signals. The ANN model is trained with …
Adaptive Filters and Neural Net
KB Sowmya, G Chandana… - Machine Learning in …, 2021 - taylorfrancis.com
A filter is a physical hardware or software system that is used to extract useful information
from noisy input data. Linear and nonlinear filters are two classes of filters. The adjective …
from noisy input data. Linear and nonlinear filters are two classes of filters. The adjective …
An adaptive channel selection method based on available channel duration prediction for wireless cognitive networks
Z Xu, S Shi, S Tian, Z Wang - 2016 International Wireless …, 2016 - ieeexplore.ieee.org
Cognitive radio makes ad-hoc network take full use of underutilized spectrum resources and
improve performance of transmission. However, because of communication traffic increasing …
improve performance of transmission. However, because of communication traffic increasing …
A Relevance Vector Machine Based Probability Prediction Method of Channel Available Time
The uncertainty of spectrum resources will seriously affect the prediction results of cognitive
radio, and then affect the communication channel allocation and spectrum access …
radio, and then affect the communication channel allocation and spectrum access …
A Model for the classification of student neediness using artificial neural networks
EE Manyasi - 2017 - su-plus.strathmore.edu
Financial aid has been used worldwide to assist students at higher learning institutions
finance their education. The aid has majorly been offered by the government, private …
finance their education. The aid has majorly been offered by the government, private …
[图书][B] An Agent-Based Framework for Exploratory Cognitive Radio Studies
J Dzikowski - 2017 - search.proquest.com
A key challenge for the wireless community is efficiently sharing wireless spectrum and
supporting coexistence for the growing number and density of wireless devices. Dynamic …
supporting coexistence for the growing number and density of wireless devices. Dynamic …