Presentation 2023-05-19
Path Loss Prediction Using a Semantic Segmentation Technique in Urban Scenarios
Kenya Shimizu, Takayuki Nakanishi, Yasuhiro Nishioka, Yoshio Inasawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) As the Internet of things (IoT), in which various devices and systems are connected to networks, rapidly spreads, there is a growing need for technology to visualize radio environment of interference waves for as short a time as possible in order to deal with system failures caused by radio wave interference. In this research, we show an interpolation method for faster visualization of the radio wave environment. In the proposed interpolation method, in addition to the global distance attenuation characteristics, it is possible to reproduce the received power difference over non-line-of-sight and line-of-sight and the local power drop due to shielding by buildings. In the verification in an urban area, we confirmed that the RMS error of the received power due to the interpolation was suppressed to 6.8 dB, and the time required to visualize the radio wave environment could be decreased by about 80%.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Radio Propagation / Machine learning / Interpolation
Paper # EMT2023-8
Date of Issue 2023-05-12 (EMT)

Conference Information
Committee EMT / IEE-EMT
Conference Date 2023/5/19(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Information Technology R & D Center, MITSUBISHI Electric Corp.
Topics (in Japanese) (See Japanese page)
Topics (in English) Electromagnetic Theory, etc.
Chair Hiroyuki Deguchi(Doshisha Univ.) / Shinichi Furukawa(Nihon Univ.)
Vice Chair Hideki Kawaguchi(Muroran Inst. of Tech)
Secretary Hideki Kawaguchi(Mitsubishi Electric) / (Kyushu Sangyo Univ.)
Assistant Ryo Natsuaki(Univ. of Tokyo) / Kazuki Niino(Kyoto Univ.)

Paper Information
Registration To Technical Committee on Electromagnetic Theory / Technical Meeting on Electromagnetic Theory
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Path Loss Prediction Using a Semantic Segmentation Technique in Urban Scenarios
Sub Title (in English)
Keyword(1) Radio Propagation
Keyword(2) Machine learning
Keyword(3) Interpolation
1st Author's Name Kenya Shimizu
1st Author's Affiliation Mitsubishi Electric Corporation(Mitsubishi Electric Corp.)
2nd Author's Name Takayuki Nakanishi
2nd Author's Affiliation Mitsubishi Electric Corporation(Mitsubishi Electric Corp.)
3rd Author's Name Yasuhiro Nishioka
3rd Author's Affiliation Mitsubishi Electric Corporation(Mitsubishi Electric Corp.)
4th Author's Name Yoshio Inasawa
4th Author's Affiliation Mitsubishi Electric Corporation(Mitsubishi Electric Corp.)
Date 2023-05-19
Paper # EMT2023-8
Volume (vol) vol.123
Number (no) EMT-40
Page pp.pp.39-43(EMT),
#Pages 5
Date of Issue 2023-05-12 (EMT)