Treffer: Microcell prediction model based on support vector machine algorithm
Title:
Microcell prediction model based on support vector machine algorithm
Source:
Annales des télécommunications. 69(1-2):123-129
Publisher Information:
Heidelberg: Springer, 2014.
Publication Year:
2014
Physical Description:
print, 11 ref
Original Material:
INIST-CNRS
Subject Terms:
Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Telecommunications et theorie de l'information, Telecommunications and information theory, Théorie de l'information, du signal et des communications, Information, signal and communications theory, Théorie du signal et des communications, Signal and communications theory, Signal, bruit, Signal, noise, Représentation du signal. Analyse spectrale, Signal representation. Spectral analysis, Télécommunications, Telecommunications, Radiocommunications, Propagation des ondes radioélectriques, Radiowave propagation, Généralités, General, Emetteurs. Récepteurs, Transmitters. Receivers, Equipements et installations, Equipments and installations, Radiocommunications du service mobile, Mobile radiocommunication systems, Algorithme, Algorithm, Algoritmo, Classification automatique, Automatic classification, Clasificación automática, Classification signal, Signal classification, Emetteur, Transmitter, Emisor, Implémentation, Implementation, Implementación, Incertitude mesure, Measurement uncertainty, Localisation, Localization, Localización, Machine vecteur support, Support vector machine, Máquina vector soporte, Mesure champ électrique, Electric field measurement, Optimisation, Optimization, Optimización, Propagation onde radio, Radiowave propagation, Radiocommunication service mobile, Mobile radiocommunication, Radiocomunicación servicio móvil, Réseau cellulaire, Cell network, Red celular, Télécommunication sans fil, Wireless telecommunication, Telecomunicación sin hilo, Zone urbaine, Urban area, Zona urbana, Microcell, Prediction model, Radio propagation, Support Vector Machine algorithm
Document Type:
Fachzeitschrift
Article
File Description:
text
Language:
English
Author Affiliations:
School of Electrical Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, P. O. Box 3554, 11120 Belgrade, Serbia
ISSN:
0003-4347
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Telecommunications and information theory
Accession Number:
edscal.28163328
Database:
PASCAL Archive
Weitere Informationen
A new microcell prediction model for mobile radio environment is presented in this paper. The popular support vector machine algorithm is used as an optimizing tool to build a model. In order to validate the model quality, extensive electric field strength measurements were carried out in the city of Belgrade, for two different test transmitter locations. The analysis of the model has shown that proposed model is fast, accurate (on the order of the local mean measurements uncertainty), reliable, and suitable for computer implementation.