Presentation	2021-01-26 An radio access control mechanism based on deep reinforcement learning Hang Zhou, Xiaoyan Wang, Masahiro Umehira,
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 #	SR2020-56
Date of Issue	2021-01-18 (SR)

Conference Information
Committee	SR
Conference Date	2021/1/25(2days)
Place (in Japanese)	(See Japanese page)
Place (in English)	Online
Topics (in Japanese)	(See Japanese page)
Topics (in English)	Cognitive Radio, Spectrum Management, Heterogeneous Network, SDN, Machine Learning Application, etc.
Chair	Masayuki Ariyoshi(NEC)
Vice Chair	Suguru Kameda(Tohoku Univ.) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT)
Secretary	Suguru Kameda(ATR) / Osamu Takyu(Univ. of Electro-Comm.) / Kentaro Ishidu(Mie Univ.)
Assistant	Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) / Kentaro Kobayashi(Nagoya Univ.)

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)	An radio access control mechanism based on deep reinforcement learning
Sub Title (in English)
Keyword(1)
1st Author's Name	Hang Zhou
1st Author's Affiliation	Gradutae School of Science and Engineering, Ibaraki University(Ibaraki Univ.)
2nd Author's Name	Xiaoyan Wang
2nd Author's Affiliation	Gradutae School of Science and Engineering, Ibaraki University(Ibaraki Univ.)
3rd Author's Name	Masahiro Umehira
3rd Author's Affiliation	Gradutae School of Science and Engineering, Ibaraki University(Ibaraki Univ.)
Date	2021-01-26
Paper #	SR2020-56
Volume (vol)	vol.120
Number (no)	SR-341
Page	pp.pp.52-59(SR),
#Pages	8
Date of Issue	2021-01-18 (SR)