Presentation 2015-01-22
Compressed Sensing-based Channel Estimation of Doubly-Selective Fading Channels for LTE-Advanced Downlink MIMO System
Takuya KAMENOSONO, Megumi KANEKO, Kazunori HAYASHI,
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Abstract(in English) In this paper, we consider the channel estimation of doubly-selective fading channels for LTE (Long Term Evolution)-Advanced multi-user MIMO (Multiple-Input Multiple-Output)-OFDM (Orthogonal Frequency Division Multiplexing) downlink transmissions. Since each user is typically allocated a few RBs, only a small number of DM-RSs (Demodulation Reference Signals) can be used for each user's channel estimation. Taking advantage of the basis expansion model (BEM) and the channel sparsity in the delay domain, the compressed sensing-based proposed scheme enables to perform accurate channel estimation even with only few pilots. The simulation results show that the proposed scheme outperforms the conventional 2D MMSE (2 Dimensional Minimum Mean-Square-Error) scheme. Moreover, the proposed scheme performs well even under dense channels.
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Keyword(in English) LTE / DM-RS / Channel estimation / Compressed sensing / Basis Expansion Model (BEM)
Paper # SIP2014-89,RCS2014-277
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Committee RCS
Conference Date 2015/1/15(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 of Doubly-Selective Fading Channels 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
Keyword(5) Basis Expansion Model (BEM)
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 2015-01-22
Paper # SIP2014-89,RCS2014-277
Volume (vol) vol.114
Number (no) 395
Page pp.pp.-
#Pages 6
Date of Issue