Presentation 2023-10-19
[Poster Presentation] A Proposal of Indoor Radio Propagation Prediction Method by using DCNN
Masamitsu Irikuchi, Teturo Imai, Koshiro Kitao, Satoshi Suyama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In the next generation communication system (6G), where further improvement of frequency utilization efficiency and power efficiency is an issue, a highly accurate radio propagation estimation method is required for system and area design. A propagation loss estimation method based on Deep Convolutional Neural Networks (DCNN) is currently under investigation. However, the effectiveness of this method for indoor environments has not been clarified because the previous studies were conducted in outdoor environments. In this paper, we propose a DCNN-based propagation loss estimation method and evaluate its accuracy using a simple indoor model.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Deep learning / Indoor environment / Radio propagation
Paper # AP2023-119
Date of Issue 2023-10-12 (AP)

Conference Information
Committee AP
Conference Date 2023/10/19(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Iwate University
Topics (in Japanese) (See Japanese page)
Topics (in English) Student Session, Antennas and Propagation
Chair Kunio Sakakibara(Nagoya Inst. of Tech.)
Vice Chair YUAN Qiaowei(Tohoku Inst. of Tech.)
Secretary YUAN Qiaowei(Iwate Univ.)
Assistant Tomoki Murakami(NTT)

Paper Information
Registration To Technical Committee on Antennas and Propagation
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Poster Presentation] A Proposal of Indoor Radio Propagation Prediction Method by using DCNN
Sub Title (in English)
Keyword(1) Deep learning
Keyword(2) Indoor environment
Keyword(3) Radio propagation
1st Author's Name Masamitsu Irikuchi
1st Author's Affiliation Tokyo Denki University(TDU)
2nd Author's Name Teturo Imai
2nd Author's Affiliation Tokyo Denki University(TDU)
3rd Author's Name Koshiro Kitao
3rd Author's Affiliation NTT DOCOMO(DOCOMO)
4th Author's Name Satoshi Suyama
4th Author's Affiliation NTT DOCOMO(DOCOMO)
Date 2023-10-19
Paper # AP2023-119
Volume (vol) vol.123
Number (no) AP-223
Page pp.pp.115-116(AP),
#Pages 2
Date of Issue 2023-10-12 (AP)