Presentation 2021-03-03
A Study on Lazy Learning-Based Self-Interference Cancellation Approach for In-Band Full-Duplex Wireless Communication Systems
Ou Zhao, Wei-Shun Liao, Keren Li, Takeshi Matsumura, Fumihide Kojima, Hiroshi Harada,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) To further improve spectral efficiency for current wireless communication systems, we propose a new lazy learning-based cancellation approach to suppress self-interference (SI) sent from a base station itself and enable in-band full-duplex (IBFD) transmissions in cellular networks. Compared to the existing IBFD systems that used the traditional approaches, our proposal consists of two phases: an offline phase for database generation and an online phase for data transmission. In the offline phase, output before 0/1 decision is previously measured without desired signal input and is recorded to a database with self-defined feature vector (FV). In the online phase, for the same system architecture with desired signal input, suitable result is searched from the generated database with the help of learning method and the usage of FV, then the result is assigned as a value of SI cancellation. Computer simulation results indicated that the proposed cancellation approaches can considerably suppress SI and thus enable the IBFD transmissions in the the considered systems.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Full-duplex transmission / Lazy learning / Machine learning / Self-interference cancellation / Digital cancellation
Paper # RCS2020-214
Date of Issue 2021-02-24 (RCS)

Conference Information
Committee RCS / SR / SRW
Conference Date 2021/3/3(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Mobile Communication Workshop
Chair Eiji Okamoto(Nagoya Inst. of Tech.) / Masayuki Ariyoshi(NEC) / Satoshi Denno(Okayama Univ.)
Vice Chair Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(Hokkaido Univ.) / Tomoya Tandai(Toshiba) / Suguru Kameda(Tohoku Univ.) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Keiichi Mizutani(Kyoto Univ.) / Kentaro Saito(Tokyo Inst. of Tech.) / Hanako Noda(Anritsu)
Secretary Fumiaki Maehara(Kyushu Univ.) / Toshihiko Nishimura(NEC) / Tomoya Tandai(ATR) / Suguru Kameda(Univ. of Electro-Comm.) / Osamu Takyu(Mie Univ.) / Kentaro Ishidu(NTT) / Keiichi Mizutani(NIigata Univ.) / Kentaro Saito / Hanako Noda
Assistant Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Tatsuki Okuyama(NTT DOCOMO) / Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) / Kentaro Kobayashi(Nagoya Univ.) / Masaaki Fuse(Anritsu) / Akihito Noda(Nanzan Univ.)

Paper Information
Registration To Technical Committee on Radio Communication Systems / Technical Committee on Smart Radio / Technical Committee on Short Range Wireless Communications
Language ENG-JTITLE
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Lazy Learning-Based Self-Interference Cancellation Approach for In-Band Full-Duplex Wireless Communication Systems
Sub Title (in English)
Keyword(1) Full-duplex transmission
Keyword(2) Lazy learning
Keyword(3) Machine learning
Keyword(4) Self-interference cancellation
Keyword(5) Digital cancellation
1st Author's Name Ou Zhao
1st Author's Affiliation NICT(NICT)
2nd Author's Name Wei-Shun Liao
2nd Author's Affiliation NICT(NICT)
3rd Author's Name Keren Li
3rd Author's Affiliation NICT(NICT)
4th Author's Name Takeshi Matsumura
4th Author's Affiliation NICT(NICT)
5th Author's Name Fumihide Kojima
5th Author's Affiliation NICT(NICT)
6th Author's Name Hiroshi Harada
6th Author's Affiliation NICT(NICT)
Date 2021-03-03
Paper # RCS2020-214
Volume (vol) vol.120
Number (no) RCS-404
Page pp.pp.67-72(RCS),
#Pages 6
Date of Issue 2021-02-24 (RCS)