Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2023-07-14 14:00
FPGA implementation of ML-compensation for SVD-MIMO weight matrices
Kiminobu Makino, Takayuki Nakagawa (NHK) RCS2023-99
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a computation reduction method of machine learning-based compensation of transmission (Tx) weight matrix for singular value decomposition-multiple-input multiple-output to implement it on the field programmable gate array (FPGA) board. In addition, this paper shows the implementation scale and processing time, and evaluates the transmission performance by connecting the FPGA board to a computer for simulation. Though the Tx weight matrix is an important information, the matrix is deteriorated by a lot of factors for the actual transmission. Therefore, we previously proposed machine learning-based compensation of the matrix and confirmed the improvement. Since we have not considered its feasibility, this paper evaluates the realization validity.
Keyword (in Japanese) (See Japanese page) 
(in English) SVD-MIMO / SVR / machine learning / FPGA / quantization / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 108, RCS2023-99, pp. 103-108, July 2023.
Paper # RCS2023-99 
Date of Issue 2023-07-05 (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 RCS2023-99

Conference Information
Committee SeMI RCS RCC NS SR  
Conference Date 2023-07-12 - 2023-07-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka University Nakanoshima Center + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Distributed Wireless Network, M2M (Machine-to-Machine)，D2D (Device-to-Device)，IoT（Internet of Things）, etc 
Paper Information
Registration To RCS 
Conference Code 2023-07-SeMI-RCS-RCC-NS-SR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) FPGA implementation of ML-compensation for SVD-MIMO weight matrices 
Sub Title (in English)  
Keyword(1) SVD-MIMO  
Keyword(2) SVR  
Keyword(3) machine learning  
Keyword(4) FPGA  
Keyword(5) quantization  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Kiminobu Makino  
1st Author's Affiliation Japan Broadcasting Corporation (NHK)
2nd Author's Name Takayuki Nakagawa  
2nd Author's Affiliation Japan Broadcasting Corporation (NHK)
3rd Author's Name  
3rd Author's Affiliation ()
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2023-07-14 14:00:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2023-99 
Volume (vol) vol.123 
Number (no) no.108 
Page pp.103-108 
#Pages 6 
Date of Issue 2023-07-05 (RCS) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan