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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PDF Download Page | PDF download Page Link |
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 |
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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 |
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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) |