DocumentCode
2311641
Title
The normal inverse Gaussian distribution as a model for MUI
Author
Salberg, Arnt-Borre ; Swami, Ananthram ; Oigard, Tor Arne ; Hanssen, Alfred
Author_Institution
Phys. Dept., Tromso Univ., Norway
Volume
2
fYear
2001
fDate
4-7 Nov. 2001
Firstpage
1484
Abstract
The normal inverse Gaussian (NIG) distribution has previously been shown to be a versatile tool to model heavy-tailed processes. A cumulant-matching estimator of the NIG parameters was introduced in Oigard and Hansen (2001). Here, we analyze the performance of this estimator. Next, we study whether NIG models are appropriate models for multi-user interference. Finally, we empirically test the goodness of fit of squared-NIG models to tele-traffic data, which have been fitted with alpha-stable models.
Keywords
Gaussian distribution; interference (signal); multi-access systems; telecommunication traffic; MUI; NIG-distribution; alpha-stable models; multi-user interference; normal inverse Gaussian distribution; squared-NIG models; tele-traffic data; Gaussian distribution; Hydrogen; Interference; Parameter estimation; Performance analysis; Physics; Random variables; Shape; Tail; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-7803-7147-X
Type
conf
DOI
10.1109/ACSSC.2001.987735
Filename
987735
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