| Presentation | 2019-01-18 Background Study on Automation of 5G Network Slicing Control with Machine Learning Ved P. Kafle, Yusuke Fukushima, Pedro Martinez-Julia, Takaya Miyazawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Machine learning has the capability to provide simpler solutions to complex problems by analyzing a huge volume of data in a short time, learning for adapting its functionality to dynamically changing environments, and predicting near future events with reasonably good accuracy. The 5G communication networks are getting complex due to emergence of unprecedentedly huge number of new connected devices and new types of services. Moreover, the requirements of creating virtual network slices suitable to provide optimal services for diverse users and applications are posing challenges to the efficient management of network resources, processing information about a huge volume of traffic, staying robust against all potential security threats, and adaptively adjustment of network functionality for time-varying workload. In this paper, we introduce about the envisioned 5G network slicing and elaborate the necessity of automation of network functions for the design, construction, deployment, operation, control and management of network slices. We then revisit the machine learning techniques that can be applied for the automation of network functions. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Machine learning / Artificial intelligence / 5G network / Slicing |
| Paper # | NS2018-190 |
| Date of Issue | 2019-01-10 (NS) |
| Conference Information | |
| Committee | NS |
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| Conference Date | 2019/1/17(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nagasaki Prefectural Art Museum |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Network software (Software Architecture, Middleware), Network Application, SOA/SDP, NGN/IMS/API, Distributed control/Dynamic routing, Grid, Network/System reliability, Network/System evaluation, etc. |
| Chair | Yoshikatsu Okazaki(NTT) |
| Vice Chair | Akihiro Nakao(Univ. of Tokyo) |
| Secretary | Akihiro Nakao(NTT) |
| Assistant | Kenichi Kashibuchi(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Network Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Background Study on Automation of 5G Network Slicing Control with Machine Learning |
| Sub Title (in English) | |
| Keyword(1) | Machine learning |
| Keyword(2) | Artificial intelligence |
| Keyword(3) | 5G network |
| Keyword(4) | Slicing |
| 1st Author's Name | Ved P. Kafle |
| 1st Author's Affiliation | National Institute of Information and Communications Technology(NICT) |
| 2nd Author's Name | Yusuke Fukushima |
| 2nd Author's Affiliation | National Institute of Information and Communications Technology(NICT) |
| 3rd Author's Name | Pedro Martinez-Julia |
| 3rd Author's Affiliation | National Institute of Information and Communications Technology(NICT) |
| 4th Author's Name | Takaya Miyazawa |
| 4th Author's Affiliation | National Institute of Information and Communications Technology(NICT) |
| Date | 2019-01-18 |
| Paper # | NS2018-190 |
| Volume (vol) | vol.118 |
| Number (no) | NS-392 |
| Page | pp.pp.71-76(NS), |
| #Pages | 6 |
| Date of Issue | 2019-01-10 (NS) |