| Paper Abstract and Keywords |
| Presentation |
2020-02-20 14:15
Learning-Based Channel Estimation for Massive MIMO with Pilot Contamination and Its Impact of Model Mismatch in Training
Hiroki Hirose, Tomoaki Ohtsuki (Keio Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In massive multiple-input multiple-output (MIMO), a base station (BS) needs accurate estimation of channel state information (CSI) for a user terminal (UT). The same pilot signals are reused in neighboring cells because of time variation of a channel. For this reason, the channel estimation accuracy deteriorates due to the interference from the neighboring cells, which is called pilot contamination. In this report, we propose a channel estimation method that reduces the influence of pilot contamination by learning a desired channel corresponding to a contaminated signal with a neural network. Our computer simulation results show that the proposed method improves the normalized mean square error (NMSE) of the channel compared with the covariance estimating method. In addition, we show it is necessary to train all expected channel model in the proposed method. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Massive MIMO / Pilot contamination / Channel estimation / Convolutional neural network / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 44, no. 5, BCT2020-24, pp. 13-16, Feb. 2020. |
| Paper # |
BCT2020-24 |
| Date of Issue |
2020-02-13 (BCT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
BCT IEEE-BT |
| Conference Date |
2020-02-20 - 2020-02-21 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
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| Topics (in Japanese) |
(See Japanese page) |
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| Paper Information |
| Registration To |
BCT |
| Conference Code |
2020-02-BCT-BT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Learning-Based Channel Estimation for Massive MIMO with Pilot Contamination and Its Impact of Model Mismatch in Training |
| Sub Title (in English) |
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| Keyword(1) |
Massive MIMO |
| Keyword(2) |
Pilot contamination |
| Keyword(3) |
Channel estimation |
| Keyword(4) |
Convolutional neural network |
| Keyword(5) |
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| 1st Author's Name |
Hiroki Hirose |
| 1st Author's Affiliation |
Keio University (Keio Univ.) |
| 2nd Author's Name |
Tomoaki Ohtsuki |
| 2nd Author's Affiliation |
Keio University (Keio Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2020-02-20 14:15:00 |
| Presentation Time |
20 minutes |
| Registration for |
BCT |
| Paper # |
BCT2020-24 |
| Volume (vol) |
vol.44 |
| Number (no) |
no.5 |
| Page |
pp.13-16 |
| #Pages |
4 |
| Date of Issue |
2020-02-13 (BCT) |