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Paper Abstract and Keywords
Presentation 2021-11-17 11:00
An Overloaded IoT Signal Detection Method Using Piecewise Continuous Nonconvex Sparse Regularizer
Atsuya Hirayama (Osaka City Univ.), Kazunori Hayashi (Kyoto Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In this talk, we consider the signal detection problem of overloaded massive multi-user multi-input multi-output (MU-MIMO) orthogonal frequency division multiplexing (OFDM) and single carrier block transmission with cyclic prefix (SC-CP) systems. For the systems, we employ iterative weighted sum of complex sparse regularizers with group sparsity (IWSCSR-GS) optimization, which is a complex discrete-valued vector reconstruction method that uses discreteness of symbols to estimate unknown vectors, and propose a signal reconstruction method using piecewise continuous nonconvex sparse regularizers, such as smoothly clipped absolute deviation (SCAD) or minimax concave penalty (MCP), in the optimization problem. Computer simulation results demonstrate that the proposed signal reconstruction method with MCP achieves better symbol error rate (SER) performance than that of not only IWSCSR-GS with $ell_1$ norm but also that with $ell_p$ norm $(p=0,1/2,2/3)$ or $ell_1-ell_2$ difference, which are nonconvex sparse regularizers, and the proposed signal reconstruction method with SCAD achieves the best performance among the methods for large systems with high signal-to-noise ratio (SNR) region.
Keyword (in Japanese) (See Japanese page) 
(in English) Overloaded MU-MIMO / Nonconvex Sparse Regularizer / Discrete-Valued Vector Reconstruction / / / / /  
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Conference Information
Committee RISING  
Conference Date 2021-11-15 - 2021-11-17 
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Conference Code 2021-11-RISING 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Overloaded IoT Signal Detection Method Using Piecewise Continuous Nonconvex Sparse Regularizer 
Sub Title (in English)  
Keyword(1) Overloaded MU-MIMO  
Keyword(2) Nonconvex Sparse Regularizer  
Keyword(3) Discrete-Valued Vector Reconstruction  
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1st Author's Name Atsuya Hirayama  
1st Author's Affiliation Osaka City University (Osaka City Univ.)
2nd Author's Name Kazunori Hayashi  
2nd Author's Affiliation Kyoto University (Kyoto Univ.)
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Date Time 2021-11-17 11:00:00 
Presentation Time 50 minutes 
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