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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | LTE / DM-RS / Channel estimation / Compressed sensing |
Paper # | RCS2014-21 |
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Committee | RCS |
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Conference Date | 2014/5/8(1days) |
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Registration To | Radio Communication Systems (RCS) |
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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 |
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