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Wireless Personal Communications
Published in: Wireless Personal Communications 3/2014

01-12-2014

Channel Estimation in Long Term Evolution Uplink Using Minimum Mean Square Error-Support Vector Regression

Authors: Allaeddine Djouama, Myoung-Seob Lim, Fatiha Youcef Ettoumi

Published in: Wireless Personal Communications | Issue 3/2014

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Abstract

In this paper, minimum mean square error-support vector regression (MMSE-SVR) is proposed, which is shown to be adequate for the estimation of the long term evolution (LTE) uplink channel with nonlinear features. MMSE-SVR was applied to estimate real channel environments such as the vehicular A channels defined by the International Telecommunication Union (ITU). The simulation results show that the proposed method has a better performance than the least squares support vector machine (LS-SVM) and the standard MMSE with linear and spline interpolation.
previous article Cooperative Subcarrier Allocation and Power Allocation in the Downlink of an Amplify-and-Forward OFDM Relaying System
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Metadata
Title
Channel Estimation in Long Term Evolution Uplink Using Minimum Mean Square Error-Support Vector Regression
Authors
Allaeddine Djouama
Myoung-Seob Lim
Fatiha Youcef Ettoumi
Publication date
01-12-2014
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 3/2014
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-014-1985-7

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