DocumentCode :
2274535
Title :
Weighted-combining calibration for implicit feedback beamforming on downlink multiuser MIMO systems
Author :
Fukuzono, Hayato ; Murakami, Tomoki ; Kudo, Riichi ; Takatori, Yasushi ; Mizoguchi, Masato
Author_Institution :
NTT Network Innovation Laboratories, NTT Corporation, Japan
fYear :
2013
fDate :
8-11 Sept. 2013
Firstpage :
846
Lastpage :
850
Abstract :
This paper proposes a novel calibration scheme for implicit feedback beamforming on downlink (DL) multiuser (MU) multiple-input multiple-output (MIMO) systems. In the proposed scheme, an access point (AP) calculates calibration coefficients from ratios of DL and uplink (UL) channel state information (CSI) corresponding to multiple stations (STAs), and then combines multiple coefficients with minimum mean square error (MMSE) weights. Although it is difficult to calculate MMSE weights since Gaussian noise terms due to estimated CSI error exist in the denominator of the mean square error, we derive the weights using a linear approximation in the highsignal to noise power ratio (SNR) regime. Simulation results reveal that the proposed scheme obtains signal to interference plus noise power ratio (SINR) gain of more than 6.9 dB over a calibration scheme without combining, at 10% cumulative distribution function (CDF) and SNR of 40 dB. It is found that the proposed scheme improves the calibration accuracy considerably.
Keywords :
Array signal processing; Calibration; Estimation; Interference; MIMO; Signal to noise ratio; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Personal Indoor and Mobile Radio Communications (PIMRC), 2013 IEEE 24th International Symposium on
Conference_Location :
London, United Kingdom
ISSN :
2166-9570
Type :
conf
DOI :
10.1109/PIMRC.2013.6666254
Filename :
6666254
Link To Document :
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