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 …

[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 …

[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 …

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 …

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 …

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 …

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 …

A Relevance Vector Machine Based Probability Prediction Method of Channel Available Time

Z Xu, D Li, S Shi, Z Wang, JY Jiang - Communications, Signal Processing …, 2019 - Springer
The uncertainty of spectrum resources will seriously affect the prediction results of cognitive
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 …

[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 …