[PDF][PDF] Genetic Algorithm-Holt-Winters Based Minute Spectrum Occupancy Prediction: An Investigation
NT Surajudeen-Bakinde, FO Ehiagwina… - Journal of Engineering …, 2022 - academia.edu
In this research, the suitability of a genetic algorithm (GA) modified Holt-Winters (HW)
exponential model for the prediction of spectrum occupancy data was investigated. Firstly, a …
exponential model for the prediction of spectrum occupancy data was investigated. Firstly, a …
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 …
Spectrum occupancy prediction based on functional link artificial neural network (FLANN) in ISM band
Recent advancements in artificial neural networks (ANNs) motivated us to design a simple
and faster spectrum prediction model termed the functional link artificial neural network …
and faster spectrum prediction model termed the functional link artificial neural network …
Forecasting of Air Maximum Temperature on Monthly Basis Using Singular Spectrum Analysis and Linear Autoregressive Model
NSS Al-Bdairi, SL Zubaidi… - … Series: Earth and …, 2021 - iopscience.iop.org
In this research, the singular spectrum analysis technique is combined with a linear
autoregressive model for the purpose of prediction and forecasting of monthly maximum air …
autoregressive model for the purpose of prediction and forecasting of monthly maximum air …
An autoregressive approach for spectrum occupancy modeling and prediction based on synchronous measurements
Inefficient spectrum usage is a crucial issue in wireless communications and methods for
dynamic spectrum access are proposed based on spectrum sensing methodology of the …
dynamic spectrum access are proposed based on spectrum sensing methodology of the …
[PDF][PDF] Spectral Vacancy Prediction Using Time Series Forecasting for Cognitive Radio Applications
V Mathai, P Indumathi - Intell. Autom. Soft Comput, 2022 - cdn.techscience.cn
An identification of unfilled primary user spectrum using a novel method is presented in this
paper. Cooperation among users with the utilization of machine learning methods is …
paper. Cooperation among users with the utilization of machine learning methods is …
[PDF][PDF] Study of models to forecast the radio-electric spectrum occupancy
LF Pedraza, CA Hernandez… - Indian Journal …, 2016 - sciresol.s3.us-east-2.amazonaws …
Objectives: The analysis of spatial opportunities to reuse frequencies by secondary users
(SU) in a Cognitive Radio (CR) network is the main objective of this work. Methods/Statistical …
(SU) in a Cognitive Radio (CR) network is the main objective of this work. Methods/Statistical …
Real-time intraday traffic volume forecasting–a hybrid application using singular spectrum analysis and artificial neural networks
The present paper provides a comparative evaluation of hybrid Singular Spectrum Analysis
(SSA) and Artificial Neural Networks (ANN) against conventional ANN, applied on real time …
(SSA) and Artificial Neural Networks (ANN) against conventional ANN, applied on real time …
Spectrum occupancy measurements in cellular frequency band in samsun
BK Engiz, YAR Rajab - Balkan Journal of Electrical and Computer …, 2021 - dergipark.org.tr
In this study, available spectrum parts in GSM900, LTE800, LTE900, GSM1800, LTE1800,
UMTS2100 and LTE2600 were determined. The measurement campaigns were performed …
UMTS2100 and LTE2600 were determined. The measurement campaigns were performed …
Temporal Variation of Duty Cycle in the GSM Bands
In a quest to efficiently manage the scarce spectrum, researchers, governments and
regulatory bodies have been conducting spectrum occupancy measurements in various …
regulatory bodies have been conducting spectrum occupancy measurements in various …