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