DocumentCode :
2362688
Title :
A novel approach to improve sparse data models
Author :
Schoeman, Johan ; Linde, Louis P.
Author_Institution :
Electron. & Comput. Eng. Univ. of Pretoria, Guateng
fYear :
2007
fDate :
26-28 Sept. 2007
Firstpage :
1
Lastpage :
5
Abstract :
This paper implements the recently introduced measure of sparseness with a specific feedback mechanism to improve the large standard deviation that current random data sources suffer from. The authors will show the drawbacks of the current, frequently used random data sources and suggest a novel approach to rectify these disadvantages. Simulation results are presented for various blocklengths typically used in 3G UMTS/WCDMA systems, showing how the standard deviation may be significantly reduced by up to 33% by using an optimal feedback length. These optimal feedback lengths are also presented, as well as some conclusions regarding communication system simulation and future
Keywords :
3G mobile communication; code division multiple access; 3G UMTS; WCDMA system; optimal feedback length; sparse data model; standard deviation; 3G mobile communication; Africa; Current measurement; Data engineering; Data models; Electric variables measurement; Feedback; Measurement standards; Multiaccess communication; Telecommunication control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
AFRICON 2007
Conference_Location :
Windhoek
Print_ISBN :
978-1-4244-0987-7
Electronic_ISBN :
978-1-4244-0987-7
Type :
conf
DOI :
10.1109/AFRCON.2007.4401457
Filename :
4401457
Link To Document :
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