DocumentCode :
631679
Title :
Comparison of channel estimation algorithms for MIMO downlink LTE systems
Author :
Morosi, Simone ; Argenti, Fabrizio ; Biagini, Massimiliano ; Del Re, Enrico
Author_Institution :
CNIT, Univ. of Florence, Florence, Italy
fYear :
2013
fDate :
1-5 July 2013
Firstpage :
953
Lastpage :
958
Abstract :
The definition of LTE and LTE-Advanced standards aims at improving the performance of cellular networks with the final goal of a fair competition between wired and wireless communication systems. In order to guarantee excellent performance, one of the crucial challenge to cope with is the introduction of advanced channel estimation techniques for Multiple Inputs Multiple Outputs (MIMO) systems. In this paper, we will review and compare several Pilot-Based Channel Estimation algorithms for MIMO LTE downlink communications. Channel estimation algorithms will be analysed for different multi-antenna schemes, namely 2×2 and 4×4 with Alamouti space-frequency coding. The performance of all of these schemes will be considered both for uncoded and coded systems. The simulation results will be obtained for a multipath fading channel, assuming high speed mobility for the mobile terminals.
Keywords :
Long Term Evolution; MIMO communication; channel coding; channel estimation; fading channels; multipath channels; space-time codes; Alamouti space-frequency coding; LTE-Advanced standards; MIMO LTE downlink communications; MIMO systems; Multiple Input Multiple Output; Pilot-Based Channel Estimation algorithms; cellular networks; channel estimation algorithms; multiantenna schemes; multipath fading channel; uncoded systems; wireless communication systems; Channel estimation; Estimation; Interpolation; Lattices; MIMO; OFDM; Phase shift keying; Channel Estimation; LTE; LTE-A; MIMO;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Mobile Computing Conference (IWCMC), 2013 9th International
Conference_Location :
Sardinia
Print_ISBN :
978-1-4673-2479-3
Type :
conf
DOI :
10.1109/IWCMC.2013.6583685
Filename :
6583685
Link To Document :
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