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Paper Abstract and Keywords
Presentation 2017-11-16 10:00
Reduce Complexity in Resource Allocation for Hyper MIMO System with Block Diagonalization Precoding Technique
Maung Sann Maw, Iwao Sasase (Keio Univ) CS2017-54
Abstract (in Japanese) (See Japanese page) 
(in English) Hyper Multi-input Multi-output (hyper-MIMO) is considered as a promising technology for the fifth generation (5G) of wireless communication system. BS is equipped with a large-scale transmit antenna array to serve the multiuser with single-received antennas for the active users in the system. To improve the system performance, BS must activate some selected users' receive antennas in user side for data receiving and make the optimal power distribution. In this paper, we propose a reduced-complexity resource allocation method for Hyper-MIMO in multiuser system. We consider joint power distribution and user selection based on the signal to interference plus noise ratio (SINR) conditions of each user in the system. By using block diagonalization precoding technique, SINR status of each user can be calculated and this value will be applied in the user selection process and resource allocation for the selected users in the system to increase the total sum-rate of multiuser hyper-MIMO system. We show that the proposed scheme offers enormous reduction in complexity while ensuring the acceptable performance when compared with optimal resource allocation scheme in the system
Keyword (in Japanese) (See Japanese page) 
(in English) Hyper MIMO / Complexity / Resource Allocation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 309, CS2017-54, pp. 1-4, Nov. 2017.
Paper # CS2017-54 
Date of Issue 2017-11-09 (CS) 
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)
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
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Conference Information
Committee CS  
Conference Date 2017-11-16 - 2017-11-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Aso Plaza Hotel 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Broadband Access Systems, Home Networks, Network Services, Applications for Communications, etc. 
Paper Information
Registration To CS 
Conference Code 2017-11-CS 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Reduce Complexity in Resource Allocation for Hyper MIMO System with Block Diagonalization Precoding Technique 
Sub Title (in English)  
Keyword(1) Hyper MIMO  
Keyword(2) Complexity  
Keyword(3) Resource Allocation  
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1st Author's Name Maung Sann Maw  
1st Author's Affiliation Keio University (Keio Univ)
2nd Author's Name Iwao Sasase  
2nd Author's Affiliation Keio University (Keio Univ)
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Date Time 2017-11-16 10:00:00 
Presentation Time 25 minutes 
Registration for CS 
Paper # CS2017-54 
Volume (vol) vol.117 
Number (no) no.309 
Page pp.1-4 
#Pages
Date of Issue 2017-11-09 (CS) 


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