| Paper Abstract and Keywords |
| Presentation |
2021-11-18 11:40
Wireless Channel Prediction with Gaussian Process
Yitu Wang (NTT), Takayuki Nakachi (former NTT), Takeru Inoue, Toru Mano, Kudo Riichi (NTT) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
With accurate knowledge of future Channel State Information (CSI), it becomes possible to better manipulate the wireless resources in a proactive manner, so as to provide solid support to smart and high quality wireless transmission. However, in mobile environment, the evolving correlation patterns in CSI series challenge the existing data-driven algorithms to adaptively learn and predict its behavior. In this article, an adaptive learning algorithm is proposed based on Gaussian Process (GP), to discover and utilize the spatial correlation within a channel and across channels, and produce accurate CSI prediction. Specifically,
1). To track the evolving correlation of a channel, we tailor Spectrum Mixture (SM) kernel to not only approximate the optimal kernel adapting to the current CSI, but also capture the combined effect of path loss and User Equipment (UE) motion.
2). The correlation across channels is encoded into the GP-based learning framework through Linear Model of Co-regionalization (LMC).
Finally, our proposed algorithm is evaluated by simulation to show its superiority over the conventional schemes such as stochastic based ARIMA, deep learning based LSTM, etc. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Channel State Information / Prediction Algorithm / Gaussian Process / Linear model of coreginalization / / / / |
| Reference Info. |
ITE Tech. Rep. |
| Paper # |
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| Download PDF |
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| Conference Information |
| Committee |
BCT IEICE-SIS |
| Conference Date |
2021-10-07 - 2021-10-08 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
System Implementation Technology, Short Range Wireless Systems, Smart Multimedia Systems, Broadcasting Technology, etc. |
| Paper Information |
| Registration To |
IEICE-SIS |
| Conference Code |
2021-10-SIS-BCT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Wireless Channel Prediction with Gaussian Process |
| Sub Title (in English) |
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| Keyword(1) |
Channel State Information |
| Keyword(2) |
Prediction Algorithm |
| Keyword(3) |
Gaussian Process |
| Keyword(4) |
Linear model of coreginalization |
| Keyword(5) |
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| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Yitu Wang |
| 1st Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
| 2nd Author's Name |
Takayuki Nakachi |
| 2nd Author's Affiliation |
University of the Ryukyus (former NTT) |
| 3rd Author's Name |
Takeru Inoue |
| 3rd Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
| 4th Author's Name |
Toru Mano |
| 4th Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
| 5th Author's Name |
Kudo Riichi |
| 5th Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
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| Speaker |
Author-1 |
| Date Time |
2021-11-18 11:40:00 |
| Presentation Time |
20 minutes |
| Registration for |
IEICE-SIS |
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| Volume (vol) |
vol.45 |
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