Presentation 2020-07-08
Feasibility Study on Blockage Prediction with Machine Learning in Outdoor mm-Wave Environment
Satoshi Ito, Shoichiro Mihara, Takahide Murakami, Hiroyuki Shinbo,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) mm-wave bands have large blockage loss in comparison with sub 6 GHz band. Therefore, we proposed the system that has multiple mm-wave band base stations and is able to keep wireless link connection by predicting blockage impact using some pictures and switching to another mm-wave band base station in advance. In around 50 m area covered by multiple mm-wave band base stations, precise prediction method for proper switching is needed to keep link connection. Conventional method which use CNN (Convolutional Neural Network) is proposed for one-to-one indoor environment. On the other hand, nano-area differs in terms of longer transmission distance of around 50 m and wider blocker distribution than conventional study. In this paper, we show prediction results and considerations when some vehicle and human body move within 50 m transmission distance in outdoor environment.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) mm-Wave / Blockage Prediction / Machine Learning / Nano-area
Paper # RCS2020-59
Date of Issue 2020-07-01 (RCS)

Conference Information
Committee SR / NS / SeMI / RCC / RCS
Conference Date 2020/7/8(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Communication and Network Technology of the AI Age, M2M (Machine-to-Machine),D2D (Device-to-Device),IoT(Internet of Things), etc
Chair Masayuki Ariyoshi(NEC) / Akihiro Nakao(Univ. of Tokyo) / Susumu Ishihara(Shizuoka Univ.) / HUAN-BANG LI(NICT) / Eiji Okamoto(Nagoya Inst. of Tech.)
Vice Chair Suguru Kameda(Tohoku Univ.) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Tetsuya Oishi(NTT) / Kazuya Monden(Hitachi) / Koji Yamamoto(Kyoto Univ.) / Shunichi Azuma(Nagoya Univ.) / Koji Ishii(Kagawa Univ.) / Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(Hokkaido Univ.) / Tomoya Tandai(Toshiba)
Secretary Suguru Kameda(ATR) / Osamu Takyu(Univ. of Electro-Comm.) / Kentaro Ishidu(Mie Univ.) / Tetsuya Oishi(NTT) / Kazuya Monden(Chuo Univ.) / Koji Yamamoto(Kyoto Univ.) / Shunichi Azuma(Osaka Univ.) / Koji Ishii(Hitachi) / Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(CRIEPI) / Tomoya Tandai(Osaka Univ.)
Assistant Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) / Kentaro Kobayashi(Nagoya Univ.) / Shinya Kawano(NTT) / Yuki Katsumata(NTT DOCOMO) / Yu Nakayama(Tokyo Univ. of Agri. and Tech.) / Akira Uchiyama(Osaka Univ.) / SHAN LIN(NICT) / Masaki Ogura(Osaka Univ.) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Tatsuki Okuyama(NTT DOCOMO)

Paper Information
Registration To Technical Committee on Smart Radio / Technical Committee on Network Systems / Technical Committee on Sensor Network and Mobile Intelligence / Technical Committee on Reliable Communication and Control / Technical Committee on Radio Communication Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Feasibility Study on Blockage Prediction with Machine Learning in Outdoor mm-Wave Environment
Sub Title (in English)
Keyword(1) mm-Wave
Keyword(2) Blockage Prediction
Keyword(3) Machine Learning
Keyword(4) Nano-area
1st Author's Name Satoshi Ito
1st Author's Affiliation KDDI Research, Inc.(KDDI Research, Inc.)
2nd Author's Name Shoichiro Mihara
2nd Author's Affiliation KDDI Research, Inc.(KDDI Research, Inc.)
3rd Author's Name Takahide Murakami
3rd Author's Affiliation KDDI Research, Inc.(KDDI Research, Inc.)
4th Author's Name Hiroyuki Shinbo
4th Author's Affiliation KDDI Research, Inc.(KDDI Research, Inc.)
Date 2020-07-08
Paper # RCS2020-59
Volume (vol) vol.120
Number (no) RCS-89
Page pp.pp.7-12(RCS),
#Pages 6
Date of Issue 2020-07-01 (RCS)