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Paper Abstract and Keywords
Presentation 2020-07-08 13:50
Deep Unfolded Multicast Beamforming for Massive MIMO
Satoshi Takabe, Tadashi Wadayama (NITech) RCS2020-64
Abstract (in Japanese) (See Japanese page) 
(in English) Multicast beamforming is a promising technique for multicast communications to design a beamforming vector based on channel state information. Since beamforming is based on solving an NP-hard optimization problem, proposing an efficient and powerful beamform design is a crucial issue. In this paper, we propose a novel trainable beamforming design algorithm by combining projections onto convex sets with deep unfolding that is an emerging deep learning technique. Although only unsupervised learning is applicable to the proposed algorithm due to the lack of optimal solutions, numerical results suggest that the algorithm shows convergence acceleration and performance improvement compared with existing algorithms.
Keyword (in Japanese) (See Japanese page) 
(in English) multicast beamforming / deep unfolding / deep learning / projections onto convex sets / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 89, RCS2020-64, pp. 37-42, July 2020.
Paper # RCS2020-64 
Date of Issue 2020-07-01 (RCS) 
ISSN Print edition: ISSN 0913-5685  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 RCS2020-64

Conference Information
Committee SR NS SeMI RCC RCS  
Conference Date 2020-07-08 - 2020-07-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Communication and Network Technology of the AI Age, M2M (Machine-to-Machine),D2D (Device-to-Device),IoT(Internet of Things), etc 
Paper Information
Registration To RCS 
Conference Code 2020-07-SR-NS-SeMI-RCC-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Deep Unfolded Multicast Beamforming for Massive MIMO 
Sub Title (in English)  
Keyword(1) multicast beamforming  
Keyword(2) deep unfolding  
Keyword(3) deep learning  
Keyword(4) projections onto convex sets  
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1st Author's Name Satoshi Takabe  
1st Author's Affiliation Nagoya Institute of Technology (NITech)
2nd Author's Name Tadashi Wadayama  
2nd Author's Affiliation Nagoya Institute of Technology (NITech)
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Speaker
Date Time 2020-07-08 13:50:00 
Presentation Time 25 
Registration for RCS 
Paper # IEICE-RCS2020-64 
Volume (vol) IEICE-120 
Number (no) no.89 
Page pp.37-42 
#Pages IEICE-6 
Date of Issue IEICE-RCS-2020-07-01 


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