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Paper Abstract and Keywords
Presentation 2023-09-08 11:50
Dynamic Control of Wireless Parameters at Base Stations for Low Latency Video Distribution Using Local 5G
Koki Horita, Akihiro Nakao (UTokyo) NS2023-62
Abstract (in Japanese) (See Japanese page) 
(in English) 5G is expected to be applied to low-latency video transmission,
however, the setting of QoS for low-latency video delivery has a high packet loss rate.
For low latency video delivery with minimal packet loss, it is necessary to dynamically control t-reordering and RLC mode settings depending on the wireless environment.
This study proposes a method to dynamically control QoS settings based on packet loss prediction using a hidden Markov model (HMM) to achieve stable video delivery.
The HMM learns the wireless environment, which varies with location and time, in about 150 seconds and achieves more than 80% learning accuracy.
Furthermore, we obtain radio information from the user equipment's modem and control the base station's radio parameters every second.
The proposed method improves the average Freezes Duration from 3.88 seconds to 1.91 seconds for video delivery using WebRTC, showing that the proposed method stabilizes video delivery.
Keyword (in Japanese) (See Japanese page) 
(in English) Low latency video distribution / Local 5G / Private 5G / Control of QoS parameters / Packet loss prediction / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 177, NS2023-62, pp. 59-64, Sept. 2023.
Paper # NS2023-62 
Date of Issue 2023-08-31 (NS) 
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 NS2023-62

Conference Information
Committee NS IN CS NV  
Conference Date 2023-09-07 - 2023-09-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Tohoku University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Session management (SIP/IMS), Interoperability/Standardization, NGN/NwGN/Future networks, Cloud/Data center networks, SDN (OpenFlow, etc.)/NFV, IPv6, Machine learning, etc. 
Paper Information
Registration To NS 
Conference Code 2023-09-NS-IN-CS-NV 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Dynamic Control of Wireless Parameters at Base Stations for Low Latency Video Distribution Using Local 5G 
Sub Title (in English)  
Keyword(1) Low latency video distribution  
Keyword(2) Local 5G  
Keyword(3) Private 5G  
Keyword(4) Control of QoS parameters  
Keyword(5) Packet loss prediction  
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1st Author's Name Koki Horita  
1st Author's Affiliation The University of Tokyo (UTokyo)
2nd Author's Name Akihiro Nakao  
2nd Author's Affiliation The University of Tokyo (UTokyo)
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Speaker Author-1 
Date Time 2023-09-08 11:50:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2023-62 
Volume (vol) vol.123 
Number (no) no.177 
Page pp.59-64 
#Pages 6 
Date of Issue 2023-08-31 (NS) 

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