Presentation 2014-05-15
Compressed Sensing-based Channel Estimation Scheme for LTE-Advanced Downlink MIMO System
Takuya KAMENOSONO, Megumi KANEKO, Kazunori HAYASHI,
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Abstract(in English) In OFDM (Orthogonal Frequency Division Multiplexing) systems, time-domain channel estimation approaches can achieve better estimation performance than frequency-domain approaches by reducing the number of parameters to be estimated. However, the frequency-domain approaches are widely used in the channel estimation for LTE (Long Term Evolution)-Advanced systems using DM-RS (Demodulation Reference Signal) because of the impact of UE (User Equipment) specific precoding. In this paper, we propose a channel estimation scheme for LTE-Advanced system based on compressed sensing. Taking advantages of the fact that typical channels of LTE-Advanced downlink are composed of small number of dominant taps, compressed sensing enables us to take the time-domain approach for the estimation using DM-RS. The effectiveness of the proposed scheme is confirmed through computer simulations.
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Keyword(in English) LTE / DM-RS / Channel estimation / Compressed sensing
Paper # RCS2014-21
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Committee RCS
Conference Date 2014/5/8(1days)
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Registration To Radio Communication Systems (RCS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Compressed Sensing-based Channel Estimation Scheme for LTE-Advanced Downlink MIMO System
Sub Title (in English)
Keyword(1) LTE
Keyword(2) DM-RS
Keyword(3) Channel estimation
Keyword(4) Compressed sensing
1st Author's Name Takuya KAMENOSONO
1st Author's Affiliation Department of Systems Science, Graduate School of Informatics, Kyoto University()
2nd Author's Name Megumi KANEKO
2nd Author's Affiliation Department of Systems Science, Graduate School of Informatics, Kyoto University
3rd Author's Name Kazunori HAYASHI
3rd Author's Affiliation Department of Systems Science, Graduate School of Informatics, Kyoto University
Date 2014-05-15
Paper # RCS2014-21
Volume (vol) vol.114
Number (no) 30
Page pp.pp.-
#Pages 6
Date of Issue