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Paper Abstract and Keywords
Presentation 2024-07-17 10:25
Broad Learning System Scheme for Multi-server Wireless Networks
Zhihan CUI, Jiancheng CHI, Yuto LIM, Yasuo TAN (JAIST) SeMI2024-13
Abstract (in Japanese) (See Japanese page) 
(in English) Multi-access edge computing (MEC) that can support context aware and delay sensitive applications allows the cloud service computation to run at the edge of the network. MEC can utilize a wireless network to connect all kinds of IoT devices to rapidly analyze data in real-time manner. However, the explosion of connected devices to deliver data will results low network capacity and high latency due to the uncertainty of devices choosing the right MEC server. We define multi-MEC server wireless networks (MSWNs) as a type of wireless communication network where each device can communicate with a MEC server directly. This paper explores the use of the broad learning system (BLS) for optimizing the network performances. Besides that, we introduce three different strategies based on the BLS scheme: BLS with minimum time delay (BLS/MT), BLS with nearest MEC server (BLS/NS), and BLS with maximum signal-to-interference-plus-noise ratio (BLS/MS), aimed at enhancing network capacity and reducing latency. Through simulations, we analyze the performance of these strategies by varying different network conditions. Our results reveal that, particularly in dense network environments, by effectively selecting the maximum SINR in the wireless networks, BLS/MS can significantly outperform the network capacity and network latency of BLS/MT and BLS/NS.
Keyword (in Japanese) (See Japanese page) 
(in English) Multi-access edge computing / Broad learning system / Wireless networks / / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 109, SeMI2024-13, pp. 7-12, July 2024.
Paper # SeMI2024-13 
Date of Issue 2024-07-10 (SeMI) 
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)
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Conference Information
Committee RCC RCS SeMI NS SR RISING  
Conference Date 2024-07-17 - 2024-07-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Citizens Activities Promotion Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SeMI 
Conference Code 2024-07-RCC-RCS-SeMI-NS-SR-RISING 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Broad Learning System Scheme for Multi-server Wireless Networks 
Sub Title (in English)  
Keyword(1) Multi-access edge computing  
Keyword(2) Broad learning system  
Keyword(3) Wireless networks  
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1st Author's Name Zhihan CUI  
1st Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
2nd Author's Name Jiancheng CHI  
2nd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
3rd Author's Name Yuto LIM  
3rd Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
4th Author's Name Yasuo TAN  
4th Author's Affiliation Japan Advanced Institute of Science and Technology (JAIST)
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Speaker Author-1 
Date Time 2024-07-17 10:25:00 
Presentation Time 25 minutes 
Registration for SeMI 
Paper # SeMI2024-13 
Volume (vol) vol.124 
Number (no) no.109 
Page pp.7-12 
#Pages 6 
Date of Issue 2024-07-10 (SeMI) 

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