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Paper Abstract and Keywords
Presentation 2022-10-13 11:10
[Poster Presentation] Performance Improvement of Massive MIMO Inter-User Interference Suppression by Iterative Replica Subtraction
Takuto Suzuki, Kazuki Maruta (Tokyo Univ. of Science), Salah Berra (Lusofona Univ.), Osamu Muta (Kyushu Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In massive MIMO, precoding has an interference cancellation issue because the channel size has a considerable dimension based on the number of antennas and receivers.
This paper proposes complexity-efficient precoding for single-cell multiuser massive MIMO systems that iteratively subtract interference replica signals based on a maximal ration transmission (MRT) weight.
Moreover, it additionally proposes zeroing minute replica components to avoid excessive interference cancellation.
Its remaining power can be diverted to the desired signal, improving the signal-to-interference-plus-noise power ratio (SINR) ratio.
In addition, processing related to zero-ed components can be omitted, contributing to reduced computation complexity.
Simulation results show its effectiveness in a specified region.
Keyword (in Japanese) (See Japanese page) 
(in English) Massive MIMO / Inter-user interference / Replica subtraction / Computation complexity / Zeroizing / / /  
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Conference Information
Committee MIKA  
Conference Date 2022-10-12 - 2022-10-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Niigata Citizens Plaza 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MIKA 
Conference Code 2022-10-MIKA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance Improvement of Massive MIMO Inter-User Interference Suppression by Iterative Replica Subtraction 
Sub Title (in English)  
Keyword(1) Massive MIMO  
Keyword(2) Inter-user interference  
Keyword(3) Replica subtraction  
Keyword(4) Computation complexity  
Keyword(5) Zeroizing  
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1st Author's Name Takuto Suzuki  
1st Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
2nd Author's Name Kazuki Maruta  
2nd Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
3rd Author's Name Salah Berra  
3rd Author's Affiliation Lusofona University (Lusofona Univ.)
4th Author's Name Osamu Muta  
4th Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2022-10-13 11:10:00 
Presentation Time 50 minutes 
Registration for MIKA 
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