Presentation | 2021-03-04 [Poster Presentation] Radio Propagation Prediction Using Building Information in Radio Environment Map for Smart Meters Soraya Mitate, Takeo Fujii, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In recent years, smart metering systems that efficiently control household resources such as water, electricity, and gas have attracted to increase the demand for reducing infrastructure operating costs. Each smart meter transmits the measured data to the Fusion Center (FC) via wireless multi-hop communication in a smart metering system. This means that new Smart Meters must be installed within the range where a wireless connection can be guaranteed to surrounding Smart Meters. Hence, installing a new smart meter is essential to obtain the radio propagation characteristics around the installation location. On the other hand, smart meters are installed in the corner of a house, and their height is lower than the height of the surrounding buildings. Therefore, it is challenging to adopt the empirical propagation model because the buildings around the terminal affect the communication between terminals. Given the above background, this paper aims to develop a highly accurate radio propagation prediction for smart meter systems installed in residential areas. We propose a combined NN (Neural network) to achieve this goal. The proposed NN consists of an NN that learns from parameters such as the positions at smart meters, a CNN that extracts features from satellite images around the terminals, and an NN that learns from the NN’s output in the previous stage. The proposed method reduces the standard deviation of the estimation error distribution by 3.02[dB] compared to the empirical model reported in ITU-R P.1411. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Smart meters / Radio propagation prediction / Radio environment map / Machine learning |
Paper # | RCS2020-237,SR2020-76,SRW2020-66 |
Date of Issue | 2021-02-24 (RCS, SR, SRW) |
Conference Information | |
Committee | RCS / SR / SRW |
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Conference Date | 2021/3/3(3days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Online |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Mobile Communication Workshop |
Chair | Eiji Okamoto(Nagoya Inst. of Tech.) / Masayuki Ariyoshi(NEC) / Satoshi Denno(Okayama Univ.) |
Vice Chair | Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(Hokkaido Univ.) / Tomoya Tandai(Toshiba) / Suguru Kameda(Tohoku Univ.) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Keiichi Mizutani(Kyoto Univ.) / Kentaro Saito(Tokyo Inst. of Tech.) / Hanako Noda(Anritsu) |
Secretary | Fumiaki Maehara(Kyushu Univ.) / Toshihiko Nishimura(NEC) / Tomoya Tandai(ATR) / Suguru Kameda(Univ. of Electro-Comm.) / Osamu Takyu(Mie Univ.) / Kentaro Ishidu(NTT) / Keiichi Mizutani(NIigata Univ.) / Kentaro Saito / Hanako Noda |
Assistant | Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Tatsuki Okuyama(NTT DOCOMO) / Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) / Kentaro Kobayashi(Nagoya Univ.) / Masaaki Fuse(Anritsu) / Akihito Noda(Nanzan Univ.) |
Paper Information | |
Registration To | Technical Committee on Radio Communication Systems / Technical Committee on Smart Radio / Technical Committee on Short Range Wireless Communications |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | [Poster Presentation] Radio Propagation Prediction Using Building Information in Radio Environment Map for Smart Meters |
Sub Title (in English) | |
Keyword(1) | Smart meters |
Keyword(2) | Radio propagation prediction |
Keyword(3) | Radio environment map |
Keyword(4) | Machine learning |
1st Author's Name | Soraya Mitate |
1st Author's Affiliation | The University of Electro-Communications(UEC) |
2nd Author's Name | Takeo Fujii |
2nd Author's Affiliation | The University of Electro-Communications(UEC) |
Date | 2021-03-04 |
Paper # | RCS2020-237,SR2020-76,SRW2020-66 |
Volume (vol) | vol.120 |
Number (no) | RCS-404,SR-405,SRW-406 |
Page | pp.pp.163-164(RCS), pp.56-57(SR), pp.51-52(SRW), |
#Pages | 2 |
Date of Issue | 2021-02-24 (RCS, SR, SRW) |