| Paper Abstract and Keywords |
| Presentation |
2022-02-17 13:20
Channel Estimation to Mitigate Channel Aging in Massive MIMO with Pilot Contamination
Hiroki Hirose, Tomoaki Ohtsuki (Keio Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In a massive multiple-input mltiple-output (MIMO) system based on time division duplex (TDD), the channel state information (CSI) between the base station (BS) and the user terminal (UT) is required. Due to Doppler shift, the fluctuations of the channel between the BS and the UT causes differences of the channel between the channel estimation and channel utilization, which is an issue called channel aging. In this report, we propose a data-aided channel estimation method based on deep learning to mitigate the effect of channel aging in a massive MIMO system with pilot contamination. After signal detection using the estimated channel obtained from the received signal in the pilot part, the detected symbol is regarded as a pilot and the channel for each time slot is estimated from the received signal in the data part. Through computer simulations, we show that the proposed method improves the channel estimation accuracy compared with the deep learning-based channel estimation with received pilot signal and the interpolation method. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Channel aging / Channel estimation / Convolutional neural network / Massive MIMO / Pilot contamination / / / |
| Reference Info. |
ITE Tech. Rep., vol. 45, no. 5, BCT2021-12, pp. 13-16, Feb. 2021. |
| Paper # |
BCT2021-12 |
| Date of Issue |
2021-02-11 (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 |
2021-02-18 - 2021-02-18 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
TBD |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
BCT |
| Conference Code |
2021-02-BCT-BT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Channel Estimation to Mitigate Channel Aging in Massive MIMO with Pilot Contamination |
| Sub Title (in English) |
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| Keyword(1) |
Channel aging |
| Keyword(2) |
Channel estimation |
| Keyword(3) |
Convolutional neural network |
| Keyword(4) |
Massive MIMO |
| Keyword(5) |
Pilot contamination |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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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 |
2022-02-17 13:20:00 |
| Presentation Time |
20 minutes |
| Registration for |
BCT |
| Paper # |
BCT2021-12 |
| Volume (vol) |
vol.45 |
| Number (no) |
no.5 |
| Page |
pp.13-16 |
| #Pages |
4 |
| Date of Issue |
2021-02-11 (BCT) |