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Paper Abstract and Keywords
Presentation 2017-11-17 09:15
Packet Loss Rate Prediction based on Dictionary during Live Video Streaming
Natsuki Kai, Hiroshi Yoshida, Koichi Nihei, Dai Kanetomo, Kozo Satoda (NEC Corp.) NS2017-122
Abstract (in Japanese) (See Japanese page) 
(in English) Live streaming services via a mobile network have become very popular.
However, playback distortion or playback interruption often occurs during a live streaming.
This is because a communication throughput dynamically fluctuates due to radio strength variation and cross-traffic, and unsent data overflows a buffer on a bottleneck link, which leads a packet loss.
Forward Error Correction (FEC) is one of the major method to solve a packet loss problem, and FEC can maintain a real-time communication because FEC is the way to recovery a lost packet with some redundant data.
However, FEC may fail a packet recovery when a redundant data is not enough, or there may be a wasted data when a redundant data is too much.
To address these problems, this paper proposes a novel method for predicting packet loss rate (PLR) in real-time during live video streaming.
We predict PLR by using the dictionary of past communication throughput, transferring rate, observed actual PLR, and our unique confidence parameter.
We evaluate our proposed method with a live video streaming for 400 seconds as an experiment in conditions in which the communication throughput and delay are dynamically changed by a network emulator.
As a result, the accuracy of our proposed prediction method was around 74~%.
Keyword (in Japanese) (See Japanese page) 
(in English) packet loss / prediction / FEC / Wi-Fi network / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 303, NS2017-122, pp. 61-66, Nov. 2017.
Paper # NS2017-122 
Date of Issue 2017-11-09 (NS) 
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 NS2017-122

Conference Information
Committee ICM CQ NS NV  
Conference Date 2017-11-16 - 2017-11-17 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To NS 
Conference Code 2017-11-ICM-CQ-NS-NV 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Packet Loss Rate Prediction based on Dictionary during Live Video Streaming 
Sub Title (in English)  
Keyword(1) packet loss  
Keyword(2) prediction  
Keyword(3) FEC  
Keyword(4) Wi-Fi network  
1st Author's Name Natsuki Kai  
1st Author's Affiliation NEC Corporation (NEC Corp.)
2nd Author's Name Hiroshi Yoshida  
2nd Author's Affiliation NEC Corporation (NEC Corp.)
3rd Author's Name Koichi Nihei  
3rd Author's Affiliation NEC Corporation (NEC Corp.)
4th Author's Name Dai Kanetomo  
4th Author's Affiliation NEC Corporation (NEC Corp.)
5th Author's Name Kozo Satoda  
5th Author's Affiliation NEC Corporation (NEC Corp.)
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Date Time 2017-11-17 09:15:00 
Presentation Time 25 
Registration for NS 
Paper # IEICE-NS2017-122 
Volume (vol) IEICE-117 
Number (no) no.303 
Page pp.61-66 
#Pages IEICE-6 
Date of Issue IEICE-NS-2017-11-09 

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