NDLI: Chaotic maps as parsimonious bit error models of wireless channels

Content Provider	IEEE Xplore Digital Library
Author	Kopke, A. Willig, A. Karl, H.
Copyright Year	2003
Description	Author affiliation: Telecommun. Networks Group, Technische Univ. Berlin, Germany (Kopke, A.; Willig, A.; Karl, H.)
Abstract	The error patterns of a wireless digital communication channel can be described by looking at consecutively correct or erroneous bits (runs and bursts) and at the distribution function of these run and burst lengths. A number of stochastic models exist that can be used to describe these distributions for wireless channels, e.g., the Gilbert-Elliot model. When attempting to apply these models to actually measured error sequences, they fail: measured data gives raise to two essentially different types of error patterns which can not be described using simple error models like Gilbert-Elliot. These two types are distinguished by their run length distribution; one type in particular is characterized by a heavy-tailed run length distribution. This paper shows how the chaotic map model can be used to describe these error types and how to parameterize this model on the basis of measurement data. We show that the chaotic map model is a superior stochastic bit error model for such channels by comparing it with both simple and complex error models. Chaotic maps achieve a modeling accuracy that is far superior to that of simple models and competitive with that of much more complex models, despite needing only six parameters. Furthermore, these parameters have a clear intuitive meaning and are amenable to direct manipulation. In addition, we show how the second type of channels can be well described by a semiMarkov model using a quantized lognormal state holding time distribution.
Sponsorship	IEEE Comput. Soc. IEEE Commun. Soc. Nat. Sci. Foundation
Starting Page	513
Ending Page	523
File Size	397506
Page Count	11
File Format	PDF
ISBN	0780377524
ISSN	0743166X
DOI	10.1109/INFCOM.2003.1208702
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-03-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Chaos Chaotic communication Wireless communication Stochastic processes Stochastic resonance Error correction Digital communication Wireless application protocol Access protocols Distribution functions
Content Type	Text
Resource Type	Article
Subject	Computer Science Electrical and Electronic Engineering

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