A novel approach to improve sparse data models

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 app...

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Main Authors: Schoeman, J., Linde, L.P.
Format: Conference Proceeding
Language:English
Subjects:
3G mobile communication
Africa
Current measurement
Data engineering
Data models
Electric variables measurement
Feedback
Measurement standards
Multiaccess communication
Telecommunication control
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Linde, L.P.
description 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
doi_str_mv 10.1109/AFRCON.2007.4401457
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects 3G mobile communication
Africa
Current measurement
Data engineering
Data models
Electric variables measurement
Feedback
Measurement standards
Multiaccess communication
Telecommunication control
title A novel approach to improve sparse data models
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