Presentation 2022-10-28
Improving Semi-Blind Interference Suppression on Multi-Cell Massive MIMO Systems by Multi-Antenna Users
Kazuki Maruta,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) When the number of spatial multiplexing is increased in a Massive MIMO system to increase capacity, the number of orthogonal sequences required for channel estimation has an upper limit, so they are used repeatedly in each cell, resulting in inter-cell interference caused by pilot signals so called pilot contamination. As a result, inter-cell interference (pilot pollution) due to the pilot signal occurs, which prevents sufficient suppression of not only inter-cell interference (ICI) but also inter-user interference (IUI). We have proposed a semi-blind uplink interference suppression scheme based on intra-cell channel estimates that include the effects of interference. This paper presents interference suppression performance improvement by employing beamforming at the user terminal side. User beamforming works more effectively for semi-blind interference suppression because it can suppress ICI in advance, although it cannot suppress IUI. Computer simulations demonstrates its effectiveness.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Massive MIMO / Pilot contamination / Adaptive array / Semi-blind / Channel estimation / Decision feedback / User beamforming
Paper # RCS2022-142
Date of Issue 2022-10-20 (RCS)

Conference Information
Committee RCS
Conference Date 2022/10/27(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Ehime University, and online
Topics (in Japanese) (See Japanese page)
Topics (in English) Wireless Communication Schemes, Wireless Communication Systems, Wireless Standards, Future Wireless Systems, etc.
Chair Kenichi Higuchi(Tokyo Univ. of Science)
Vice Chair Tomoya Tandai(Toshiba) / Fumihide Kojima(NICT) / Osamu Muta(Kyushu Univ.)
Secretary Tomoya Tandai(Panasonic) / Fumihide Kojima(Univ. of Electro-Comm) / Osamu Muta(Sharp)
Assistant Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Issei Kanno(KDDI Research) / Yuyuan Chang(Tokyo Inst. of Tech) / Kazuki Maruta(Tokyo Univ. of Science)

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) Improving Semi-Blind Interference Suppression on Multi-Cell Massive MIMO Systems by Multi-Antenna Users
Sub Title (in English)
Keyword(1) Massive MIMO
Keyword(2) Pilot contamination
Keyword(3) Adaptive array
Keyword(4) Semi-blind
Keyword(5) Channel estimation
Keyword(6) Decision feedback
Keyword(7) User beamforming
1st Author's Name Kazuki Maruta
1st Author's Affiliation Tokyo University of Science(Tokyo Univ. of Science)
Date 2022-10-28
Paper # RCS2022-142
Volume (vol) vol.122
Number (no) RCS-235
Page pp.pp.65-70(RCS),
#Pages 6
Date of Issue 2022-10-20 (RCS)