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Paper Abstract and Keywords
Presentation 2020-06-26 14:05
Joint Transmit Power and 3-Dimentional Beamforming Control using Neural Networks for MIMO Small Cell Systems
Shuaifeng Jiang, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech) RCS2020-47
Abstract (in Japanese) (See Japanese page) 
(in English) A densely deployed small cell system is expected to improve the system capacity of mobile communications. Since the neighboring cells are overlapped, however, inter-cell interference (ICI) increases and thus degrades the system capacity. To suppress such ICI, the base stations (BSs) conduct the exhaustive search (ES) to find the optimal combination of transmit power levels and precoding matrices from a pre-defined codebook. However, ES requires a prohibitive amount of computational complexity that grows exponentially with the number of BSs. This report aims at a joint power and beamforming control method that can reduce such complexity drastically for multiple-input multiple-output (MIMO) small cell systems. The contribution of the report is threefold: 1) it proposes a neural network (NN) that approximately conducts ES while requiring much less complexity; 2) it additionally passes correlation among channel matrices of user terminals into the NN to improve the system capacity; 3) it applies the proposed NN-based scheme into 3D-beamforming MIMO systems. Computer simulations demonstrate that the proposed NN-based scheme can achieve nearly optimal system capacity at a cost of much lower complexity. It is also shown that the enhanced input into the NN is effective on improving the performance of the NN, and that the proposed NN-based scheme is very suitable for the 3D-beamforming MIMO system and can improve the system capacity.
Keyword (in Japanese) (See Japanese page) 
(in English) MIMO / small cells / inter-cell interference coordination / neural network / transmit beamforming / transmit power control / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 74, RCS2020-47, pp. 145-150, June 2020.
Paper # RCS2020-47 
Date of Issue 2020-06-17 (RCS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 RCS2020-47

Conference Information
Committee RCS  
Conference Date 2020-06-24 - 2020-06-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) First Presentation in IEICE Technical Committee, Resource Control, Scheduling, Wireless Communications, etc. 
Paper Information
Registration To RCS 
Conference Code 2020-06-RCS 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Joint Transmit Power and 3-Dimentional Beamforming Control using Neural Networks for MIMO Small Cell Systems 
Sub Title (in English)  
Keyword(1) MIMO  
Keyword(2) small cells  
Keyword(3) inter-cell interference coordination  
Keyword(4) neural network  
Keyword(5) transmit beamforming  
Keyword(6) transmit power control  
1st Author's Name Shuaifeng Jiang  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
2nd Author's Name Yuyuan Chang  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
3rd Author's Name Kazuhiko Fukawa  
3rd Author's Affiliation Tokyo Institute of Technology (Tokyo Tech)
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Speaker Author-1 
Date Time 2020-06-26 14:05:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2020-47 
Volume (vol) vol.120 
Number (no) no.74 
Page pp.145-150 
Date of Issue 2020-06-17 (RCS) 

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