NDLI: A base station MMSE combining performance evaluation using /spl Gamma/ distribution function

Content Provider	IEEE Xplore Digital Library
Author	Sivasondhivat, K. Takada, J.
Copyright Year	2000
Description	Author affiliation: Takada Lab., Tokyo Inst. of Technol., Japan (Sivasondhivat, K.)
Abstract	This paper presents an alternative approach to approximately estimate the performance of the MMSE (minimum mean square error) combining at the base station. The performance of the MMSE combining is evaluated by the CDF (cumulative distribution function) of the output SINR (signal to noise and interference ratio). To evaluate the performance of the MMSE combining, the definition of the equivalent parameters is proposed. Based on the /spl Gamma/ distribution approximation (the moment matching), the equivalent parameters are found by 2 ways: (1) direct computation from simulation SINR, and (2) the signal subspace approach. As a result, the CDF approximated by using the equivalent parameters is compared with the CDF directly derived by the Monte-Carlo simulation. The moment matching is proved to be an effective approach to find the equivalent parameters. However, the accuracy of the approximated CDF by the moment matching dramatically degraded if we consider the situation where the desired signal can not be efficiently combined. In the other words, the equivalent parameters do not give the accurate results when the degree of freedom for desired signal decreases. Nevertheless, they still offer the ability to roughly evaluate the performance of the MMSE combining.
Starting Page	351
Ending Page	354
File Size	431827
Page Count	4
File Format	PDF
ISBN	0780357183
ISSN	10903038
DOI	10.1109/VETECS.2000.851477
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-05-15
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Base stations Distribution functions Signal to noise ratio Signal analysis Interference Computational modeling Fading Performance analysis Eigenvalues and eigenfunctions Linear antenna arrays
Content Type	Text
Resource Type	Article

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