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