Presentation 2021-11-05
Throughput Prediction by Radio Environment Correlation Recognition Using Crowd Sensing and Federated Learning
Satoshi Nakaniida, Takeo Fujii,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # SR2021-53
Date of Issue 2021-10-28 (SR)

Conference Information
Committee SR
Conference Date 2021/11/4(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Software Defined Radio, Cognitive Radio, Spectrum Shareing, 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 Mai Ohta(Fukuoka Univ.) / Taichi Ohtsuji(NEC) / WANG Xiaoyan(Ibaraki Univ.) / Akemi Tanaka(MathWorks)

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) Throughput Prediction by Radio Environment Correlation Recognition Using Crowd Sensing and Federated Learning
Sub Title (in English)
Keyword(1)
1st Author's Name Satoshi Nakaniida
1st Author's Affiliation University of Electro Communications(UEC)
2nd Author's Name Takeo Fujii
2nd Author's Affiliation University of Electro Communications(UEC)
Date 2021-11-05
Paper # SR2021-53
Volume (vol) vol.121
Number (no) SR-227
Page pp.pp.72-78(SR),
#Pages 7
Date of Issue 2021-10-28 (SR)