| Presentation | 2022-01-20 Received Power Prediction of 60 GHz Millimeter-Wave Propagation in Indoor Environment from Time-Series Images Using Neural Networks Khanh Nam Nguyen, Kenichi Takizawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A millimeter-wave (mmWave) indoor propagation environment with obstacles in 60 GHz frequency band is set up where received signal data can be collected analytically from the proposed calculation method called Kirchhoff approximation (KA). In addition, experimental mmWave received power is also obtained to validate the formulated results, and utilized to train and evaluate predictive models. Two architectures of neural networks are utilized to predict mmWave propagation received power values from time-series images. In detail, three-dimensional (3D) convolutional neural network (CNN) and its combination with long short-term memory (CNN+LSTM) models are evaluated to predict up to 3 seconds ahead with root-mean-square errors of 3.02 dB and 2.32 dB, respectively. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | mmWave / indoor propagation / 60 GHz / time-series images / neural networks / Kirchhoff approximation |
| Paper # | IT2021-55,SIP2021-63,RCS2021-223 |
| Date of Issue | 2022-01-13 (IT, SIP, RCS) |
| Conference Information | |
| Committee | RCS / SIP / IT |
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| Conference Date | 2022/1/20(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Eiji Okamoto(Nagoya Inst. of Tech.) / Yukihiro Bandou(NTT) / Tadashi Wadayama(Nagoya Inst. of Tech.) |
| Vice Chair | Toshihiko Nishimura(Hokkaido Univ.) / Tomoya Tandai(Toshiba) / Fumihide Kojima(NICT) / Toshihisa Tanaka(Tokyo Univ. Agri.&Tech.) / Takayuki Nakachi(Ryukyu Univ.) / Tetsuya Kojima(Tokyo Kosen) |
| Secretary | Toshihiko Nishimura(NEC) / Tomoya Tandai(Panasonic) / Fumihide Kojima(Xiaomi) / Toshihisa Tanaka(Takushoku Univ.) / Takayuki Nakachi(Tokyo Univ. Agri.&Tech.) / Tetsuya Kojima(Saitamai Univ.) |
| Assistant | Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Tatsuki Okuyama(NTT DOCOMO) / Taichi Yoshida(UEC) / Seisuke Kyochi(Univ. of Kitakyushu) / Masanori Hirotomo(Saga Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems / Technical Committee on Signal Processing / Technical Committee on Information Theory |
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| Language | ENG-JTITLE |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Received Power Prediction of 60 GHz Millimeter-Wave Propagation in Indoor Environment from Time-Series Images Using Neural Networks |
| Sub Title (in English) | |
| Keyword(1) | mmWave |
| Keyword(2) | indoor propagation |
| Keyword(3) | 60 GHz |
| Keyword(4) | time-series images |
| Keyword(5) | neural networks |
| Keyword(6) | Kirchhoff approximation |
| 1st Author's Name | Khanh Nam Nguyen |
| 1st Author's Affiliation | National Institute of Information and Communications Technology(NICT) |
| 2nd Author's Name | Kenichi Takizawa |
| 2nd Author's Affiliation | National Institute of Information and Communications Technology(NICT) |
| Date | 2022-01-20 |
| Paper # | IT2021-55,SIP2021-63,RCS2021-223 |
| Volume (vol) | vol.121 |
| Number (no) | IT-327,SIP-328,RCS-329 |
| Page | pp.pp.149-154(IT), pp.149-154(SIP), pp.149-154(RCS), |
| #Pages | 6 |
| Date of Issue | 2022-01-13 (IT, SIP, RCS) |