Presentation 2022-11-07
[Short Paper] A Study of Interference Detection Methods when Multiple Types of Radio Waves are Mixed
Riku Yamabe, Toshi Ito, Osamu Takyu,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In 5G and beyond 5G, each radio must have high interference tolerance capability. To improve interference tolerance,the authors proposed a classification of interference states and normal states using SOM with unsupervised learning. However,this classification model had difficulty classifying low-power interference. Therefore, in this proposal, data is obtained from a simulation utilizing a 5G communication model to find features that are useful for classification and to make predictions. In this prediction, high discrimination accuracy was achieved at all interference powers using a supervised learning random forest.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) 5G / RSSI / Packet analysis / Machine learning
Paper # SR2022-48
Date of Issue 2022-10-31 (SR)

Conference Information
Committee SR
Conference Date 2022/11/7(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Fukuoka University
Topics (in Japanese) (See Japanese page)
Topics (in English) Software Defined Radio, Cognitive Radio, Spectrum Sharing, etc.
Chair Suguru Kameda(Hiroshima Univ.)
Vice Chair Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Kazuto Yano(ATR)
Secretary Osamu Takyu(Mie Univ.) / Kentaro Ishidu(Tokai Univ.) / Kazuto Yano(NTT)
Assistant Taichi Ohtsuji(NEC) / WANG Xiaoyan(Ibaraki Univ.) / Akemi Tanaka(MathWorks) / Katsuya Suto(Univ. of Electro-Comm)

Paper Information
Registration To Technical Committee on Smart Radio
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Short Paper] A Study of Interference Detection Methods when Multiple Types of Radio Waves are Mixed
Sub Title (in English)
Keyword(1) 5G
Keyword(2) RSSI
Keyword(3) Packet analysis
Keyword(4) Machine learning
1st Author's Name Riku Yamabe
1st Author's Affiliation Shinshu University(Shinshu Univ.)
2nd Author's Name Toshi Ito
2nd Author's Affiliation Shinshu University(Shinshu Univ.)
3rd Author's Name Osamu Takyu
3rd Author's Affiliation Shinshu University(Shinshu Univ.)
Date 2022-11-07
Paper # SR2022-48
Volume (vol) vol.122
Number (no) SR-243
Page pp.pp.20-23(SR),
#Pages 4
Date of Issue 2022-10-31 (SR)