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| Presentation | 2017-04-21 15:10 Mobile Network Tomography Based on Sparse Spectrum Structure of Delay Time Series Rie Tagyo (NTT), Hideaki Kinsho (Osaka Univ.), Daisuke Ikegami (NTT), Takahiro Matsuda (Osaka Univ.), Takanori Hayashi (NTT), Tetsuya Takine (Osaka Univ.)  CQ2017-12 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In mobile networks, Quality of Service (QoS) of end-to-end connections is affected by the performance of various network components such as users' terminals, servers, routers, base stations, etc. In order to estimate a quality of each network component such as delay, we propose a novel network tomography scheme based on Discrete cosine transform (DCT) and Compressed Sensing (CS) by focusing on a structure of time series of delay. This proposed tomography is a method of estimating delay at each component by using network measurements collected by crowdsourcing scheme. By using two characteristics which are sparsity of delay time series occurred at wireless access networks in DCT domain and sparsity of delay occurred at servers, we propose the method to estimating the qualities of wireless access networks and the qualities of servers by the means of CS. We evaluate the performance of the proposed scheme through simulations by using actual measured data. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Quality of Service (QoS) / crowdsourcing / network tomography / discrete cosine transform (DCT) / compressed sensing / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 5, CQ2017-12, pp. 59-64, April 2017. | |
| Paper # | CQ2017-12 | |
| Date of Issue | 2017-04-13 (CQ) | |
| 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) | |
| Download PDF | CQ2017-12 |
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| Conference Information | |
| Committee | CS CQ |
| Conference Date | 2017-04-20 - 2017-04-21 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Chitose Institute of Science and Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Network Serice, Service Quality, SDN (Software-Defined Networking), NFV (Network Functions. Virtualization), Network Virtualization, Cloud, Contents Delivery, etc |
| Paper Information | |
| Registration To | CQ |
| Conference Code | 2017-04-CS-CQ |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Mobile Network Tomography Based on Sparse Spectrum Structure of Delay Time Series |
| Sub Title (in English) | |
| Keyword(1) | Quality of Service (QoS) |
| Keyword(2) | crowdsourcing |
| Keyword(3) | network tomography |
| Keyword(4) | discrete cosine transform (DCT) |
| Keyword(5) | compressed sensing |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Rie Tagyo |
| 1st Author's Affiliation | NTT Corporation (NTT) |
| 2nd Author's Name | Hideaki Kinsho |
| 2nd Author's Affiliation | Osaka University (Osaka Univ.) |
| 3rd Author's Name | Daisuke Ikegami |
| 3rd Author's Affiliation | NTT Corporation (NTT) |
| 4th Author's Name | Takahiro Matsuda |
| 4th Author's Affiliation | Osaka University (Osaka Univ.) |
| 5th Author's Name | Takanori Hayashi |
| 5th Author's Affiliation | NTT Corporation (NTT) |
| 6th Author's Name | Tetsuya Takine |
| 6th Author's Affiliation | Osaka University (Osaka Univ.) |
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| Speaker | Author-1 |
| Date Time | 2017-04-21 15:10:00 |
| Presentation Time | 25 minutes |
| Registration for | CQ |
| Paper # | CQ2017-12 |
| Volume (vol) | vol.117 |
| Number (no) | no.5 |
| Page | pp.59-64 |
| #Pages | 6 |
| Date of Issue | 2017-04-13 (CQ) |
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