A Modified Monte-Carlo Simulation Technique for the Evaluation of Error Rate in Digital Communication Systems

Digital communication systems are frequently operated over nonlinear channels with memory. The analysis of the performance of these systems is difficult and no complete analytical treatment of the problem has been obtained before. Several recent efforts have been directed toward the computation of e...

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Bibliographic Details
Published inIEEE transactions on communications Vol. 28; no. 11; pp. 1916 - 1924
Main Authors Shanmugam, K., Balaban, P.
Format Journal Article
LanguageEnglish
Published IEEE 01.01.1980
Subjects
Bandwidth
Communication systems
Digital communication
Error analysis
Error probability
Phase change materials
Phase shift keying
Random processes
Silicon compounds
System performance
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Summary:Digital communication systems are frequently operated over nonlinear channels with memory. The analysis of the performance of these systems is difficult and no complete analytical treatment of the problem has been obtained before. Several recent efforts have been directed toward the computation of error probabilities via Monte-Carlo simulation using a complete system model. These simulations require excessively large sample sizes and are not practical for estimating very low values of error probabilities. This paper presents a modified Monte-Carlo simulation technique for estimating error probabilities in digital communication systems operating over nonlinear channels. An importance-sampling technique is used to modify the probability density function of the noise process in a way to make simulation possible. Theoretical results as well as realistic examples are presented, showing that the number of samples needed for simulation is reduced considerably.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0090-6778
1558-0857
DOI:10.1109/TCOM.1980.1094613