| IEICE Technical Committee Submission System Conference Paper's Information |
Online Proceedings [Sign in] Tech. Rep. Archives |
| Go Top Page | Go Previous | [Japanese] / [English] |
| Paper Abstract and Keywords | ||
| Presentation | 2021-10-08 11:30 Dynamic Resource Allocation for Network Slices Based on Connection Prediction with Machine Learning and Performance Analysis with Queueing Theory Yuji Kameyama, Yuki Kawai, Takuji Tachibana (Univ. Fukui)  NS2021-81 |
|
| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In order to meet the service requirements of high speed and large capacity (eMBB), multiple simultaneous connections (mMTC), and high reliability and low latency (URLLC), the fifth generation mobile communication system (5G) uses network slicing, which divides network resources and constructs virtual networks (network slices) in the 5G core network. This network slicing enables the construction of network slices with different functions and performance for each service requirement, and each mobile terminal is connected to the appropriate slice according to the service requirement to provide the service. In this paper, we propose a connection prediction technique based on machine learning for connection requests in which some information is missing. This prediction technique uses stacking, which is an ensemble learning technique, to predict not only the network slice to which the connection request will be connected, but also the packet loss rate and transmission delay. We also propose a dynamic resource allocation method that changes the resources of network slices according to the predicted connection requests. We evaluate the performance of the proposed method by simulation and evaluate the effectiveness of the proposed method. From the evaluation results, we investigate the effectiveness of the proposed method. |
|
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Network Slicing / Machine Learning / Connection Prediction / Queueing Theory / Resource Allocation / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 185, NS2021-81, pp. 70-75, Oct. 2021. | |
| Paper # | NS2021-81 | |
| Date of Issue | 2021-09-29 (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 | NS2021-81 |
|
| Conference Information | |
| Committee | NS |
| Conference Date | 2021-10-06 - 2021-10-08 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Network architecture (Overlay, P2P, Ubiquitous network, Scale-free network, Active network, NGN/NwGN, IoT, Edge computing, Next generation packet transport (High speed Ethernet, IP over WDM, Multi-service package technology, MPLS), Grid, etc. |
| Paper Information | |
| Registration To | NS |
| Conference Code | 2021-10-NS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Dynamic Resource Allocation for Network Slices Based on Connection Prediction with Machine Learning and Performance Analysis with Queueing Theory |
| Sub Title (in English) | |
| Keyword(1) | Network Slicing |
| Keyword(2) | Machine Learning |
| Keyword(3) | Connection Prediction |
| Keyword(4) | Queueing Theory |
| Keyword(5) | Resource Allocation |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yuji Kameyama |
| 1st Author's Affiliation | University of Fukui (Univ. Fukui) |
| 2nd Author's Name | Yuki Kawai |
| 2nd Author's Affiliation | University of Fukui (Univ. Fukui) |
| 3rd Author's Name | Takuji Tachibana |
| 3rd Author's Affiliation | University of Fukui (Univ. Fukui) |
| 4th Author's Name | |
| 4th Author's Affiliation | () |
| 5th Author's Name | |
| 5th Author's Affiliation | () |
| 6th Author's Name | |
| 6th Author's Affiliation | () |
| 7th Author's Name | |
| 7th Author's Affiliation | () |
| 8th Author's Name | |
| 8th Author's Affiliation | () |
| 9th Author's Name | |
| 9th Author's Affiliation | () |
| 10th Author's Name | |
| 10th Author's Affiliation | () |
| 11th Author's Name | |
| 11th Author's Affiliation | () |
| 12th Author's Name | |
| 12th Author's Affiliation | () |
| 13th Author's Name | |
| 13th Author's Affiliation | () |
| 14th Author's Name | |
| 14th Author's Affiliation | () |
| 15th Author's Name | |
| 15th Author's Affiliation | () |
| 16th Author's Name | |
| 16th Author's Affiliation | () |
| 17th Author's Name | |
| 17th Author's Affiliation | () |
| 18th Author's Name | |
| 18th Author's Affiliation | () |
| Speaker | Author-1 |
| Date Time | 2021-10-08 11:30:00 |
| Presentation Time | 25 minutes |
| Registration for | NS |
| Paper # | NS2021-81 |
| Volume (vol) | vol.121 |
| Number (no) | no.185 |
| Page | pp.70-75 |
| #Pages | 6 |
| Date of Issue | 2021-09-29 (NS) |
[Return to Top Page]