Presentation 2020-10-22
Shared dataset framework toward applications of machine learning and mathematical optimization for 6G
Kazuki Maruta, Yuta Ida, Yafei Hou, Osamu Muta, Hiraku Okada, Toshihiko Nishimura, Eiji Okamoto, Yukitoshi Sanada, Hidekazu Murata, Satoshi Denno,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In the research of applying machine learning and mathematical optimization to problems in wireless communication systems, datasets for training are very important, and an effort to store and release datasets for long term storage has recently started in overseas conferences. On the other hand, if a dataset suitable for research purposes is not available, efforts to create a dataset with wide cooperation are required. This paper presents a conceptual framework for collaborative efforts to create datasets and research using those datasets.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Data set / Machine learning / Mathematical optimization / 6G
Paper # RCS2020-92
Date of Issue 2020-10-15 (RCS)

Conference Information
Committee RCS
Conference Date 2020/10/22(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Wireless Communication Schemes, Wireless Communication Systems, Wireless Standards, Future Wireless Systems, etc.
Chair Eiji Okamoto(Nagoya Inst. of Tech.)
Vice Chair Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(Hokkaido Univ.) / Tomoya Tandai(Toshiba)
Secretary Fumiaki Maehara(Kyushu Univ.) / Toshihiko Nishimura(NEC) / Tomoya Tandai
Assistant Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Tatsuki Okuyama(NTT DOCOMO)

Paper Information
Registration To Technical Committee on Radio Communication Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Shared dataset framework toward applications of machine learning and mathematical optimization for 6G
Sub Title (in English)
Keyword(1) Data set
Keyword(2) Machine learning
Keyword(3) Mathematical optimization
Keyword(4) 6G
1st Author's Name Kazuki Maruta
1st Author's Affiliation Tokyo Institute of Technology(Tokyo Tech.)
2nd Author's Name Yuta Ida
2nd Author's Affiliation Ymaguchi University(Yamaguchi Univ.)
3rd Author's Name Yafei Hou
3rd Author's Affiliation Okayama University(Okayama Univ.)
4th Author's Name Osamu Muta
4th Author's Affiliation Kyushu University(Kyushu Univ.)
5th Author's Name Hiraku Okada
5th Author's Affiliation Nagoya University(Nagoya Univ.)
6th Author's Name Toshihiko Nishimura
6th Author's Affiliation Hokkaido University(Hokkaido Univ.)
7th Author's Name Eiji Okamoto
7th Author's Affiliation Nagoya Institute of Technology(Nagoya Inst. of Tech.)
8th Author's Name Yukitoshi Sanada
8th Author's Affiliation Keio University(Keio Univ.)
9th Author's Name Hidekazu Murata
9th Author's Affiliation Kyoto University(Kyoto Univ.)
10th Author's Name Satoshi Denno
10th Author's Affiliation Okayama University(Okayama Univ.)
Date 2020-10-22
Paper # RCS2020-92
Volume (vol) vol.120
Number (no) RCS-204
Page pp.pp.1-6(RCS),
#Pages 6
Date of Issue 2020-10-15 (RCS)