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Paper Abstract and Keywords
Presentation 2025-08-01 10:10
A study on Quantization Threshold Optimization for Massive SIMO systems based on 1-Bit ADC Outputs
Rina Takagi, Kenta Umebayashi (TUAT), Antti Tolli, Bikshapathi Gouda, Janne Lehtomaki (UoO) RCS2025-92
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a design of quantization threshold for 1-bit ADCs in Single Input Multiple Output (SIMO) systems employing high-order modulation, specifically 16QAM. As 6G demands increasingly data rates and improved energy efficiency, Massive MIMO is a promising approach to achieve high data rate. However, its extensive RF components including high sampling rate ADCs incur significant power consumption. Although low-resolution ADCs―particularly 1-bit ADCs achieve very low power consumption, they impose severe quantization constraints that degrade detection performance, especially for high order modulation. In our previous work, we have shown that adjusting the quantization threshold of 1-bit ADCs in SIMO systems can substantially improve the performance. In this study, we propose a method to numerically derive the optimal thresholds based on the statistical characteristics of the 1-bit ADC outputs. Obtaining the optimal threshold by directly minimizing the symbol error rate (SER), the original optimization objective, via numerical methods is intractable.
Therefore, we formulate a method derived from the distribution of 1-bit ADC outputs associated with each symbol in 16QAM constellation. The proposed method achieves comparable accuracy to Monte Carlo based optimization, while requiring significantly lower computational cost. Numerical simulations reveal that the numerically optimized thresholds effectively improve the performance, demonstrating the validity of the proposed approach.
Keyword (in Japanese) (See Japanese page) 
(in English) SIMO / MIMO / Quantization / high-order modulation / 1-bit ADC / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 133, RCS2025-92, pp. 86-91, July 2025.
Paper # RCS2025-92 
Date of Issue 2025-07-23 (RCS) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF RCS2025-92

Conference Information
Committee SR RCS RCC SeMI NS RISING HCL  
Conference Date 2025-07-30 - 2025-08-01 
Place (in Japanese) (See Japanese page) 
Place (in English) MALIOS 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To RCS 
Conference Code 2025-07-SR-RCS-RCC-SeMI-NS-RISING-HCL 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study on Quantization Threshold Optimization for Massive SIMO systems based on 1-Bit ADC Outputs 
Sub Title (in English)  
Keyword(1) SIMO  
Keyword(2) MIMO  
Keyword(3) Quantization  
Keyword(4) high-order modulation  
Keyword(5) 1-bit ADC  
Keyword(6)  
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Keyword(8)  
1st Author's Name Rina Takagi  
1st Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
2nd Author's Name Kenta Umebayashi  
2nd Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
3rd Author's Name Antti Tolli  
3rd Author's Affiliation University of Oulu (UoO)
4th Author's Name Bikshapathi Gouda  
4th Author's Affiliation University of Oulu (UoO)
5th Author's Name Janne Lehtomaki  
5th Author's Affiliation University of Oulu (UoO)
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Speaker Author-1 
Date Time 2025-08-01 10:10:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2025-92 
Volume (vol) vol.125 
Number (no) no.133 
Page pp.86-91 
#Pages 6 
Date of Issue 2025-07-23 (RCS) 

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