DocumentCode :
261505
Title :
Artificial neural network based simulation of short-term fading in mobile propagation channel
Author :
Tomasevic, Nikola M. ; Neskovic, Aleksandar M. ; Neskovic, Natasa J.
Author_Institution :
Mihajlo Pupin Inst., Nikola M. Tomasevic is with the Univ. of Belgrade, Belgrade, Serbia
fYear :
2014
fDate :
25-27 Nov. 2014
Firstpage :
206
Lastpage :
212
Abstract :
A novel method for correlated short-term fading simulation is presented and analyzed in this paper. Proposed solution is based on artificial neural networks. In order to obtain an adequate training data set, extensive measurements of the electric field strength were carried out in an indoor environment. Due to its modular architecture, the proposed simulator could be used to generate potentially any number of correlated fading processes (or a single fading process). For verification purposes, the proposed method was compared against the existing simulation methods (of both single and two correlated fading processes). The quantitative and qualitative analysis showed that the proposed method was in better agreement with the measurements comparing to the existing methods.
Keywords :
correlation methods; electric field measurement; fading channels; learning (artificial intelligence); mobile radio; neural nets; telecommunication computing; artificial neural networks; correlated fading processes; correlated short-term fading simulation; electric field strength; indoor environment; mobile propagataion channel; training data set; Artificial neural networks; Correlation; Generators; Rayleigh channels; Training; Vectors; Rayleigh fading; artificial neural networks; mobile propagation channel; short-term fading;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications Forum Telfor (TELFOR), 2014 22nd
Conference_Location :
Belgrade
Print_ISBN :
978-1-4799-6190-0
Type :
conf
DOI :
10.1109/TELFOR.2014.7034390
Filename :
7034390
Link To Document :
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