CORRELATION SIGNED
Characterization and prediction of service-level traffic for future sliced mobile network
Total Cost €
0EC-Contrib. €
0Partnership
0Views
0CORRELATION project word cloud
Explore the words cloud of the CORRELATION project. It provides you a very rough idea of what is the project "CORRELATION" about.
Project "CORRELATION" data sheet
The following table provides information about the project.
| Coordinator |
RANPLAN WIRELESS NETWORK DESIGN LTD
Organization address contact info |
| Coordinator Country | United Kingdom [UK] |
| Total cost | 224˙933 € |
| EC max contribution | 224˙933 € (100%) |
| Programme |
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility) |
| Code Call | H2020-MSCA-IF-2018 |
| Funding Scheme | MSCA-IF-EF-SE |
| Starting year | 2020 |
| Duration (year-month-day) | from 2020-02-01 to 2022-01-31 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | RANPLAN WIRELESS NETWORK DESIGN LTD | UK (CAMBRIDGE) | coordinator | 224˙933.00 |
Map
Project objective
Network slicing is a key enabling technology for the 5th generation (5G) and beyond mobile networks. Network slicing allows the creation of multiple logical network instances on the same underlying physical network. Slices can then be formed or combined on-demand, with parameters optimized according to various service requirements so as to meet the users’ instant requests for specific mobile services. Hence, the performance of network slicing heavily depends on characterizing and predicting the spatial- temporal traffic patterns for individual services in near real-time.
Research on characterization and prediction for service-level mobile traffic is still in nascence. Firstly, the traffic characteristics and predicting methods of individual services, especially the 5G services, have not been studied adequately. Secondly, traffic correlation among different services and the reasons behind it have not been well studied. Thirdly, inter-service correlations have not been well exploited in service-level mobile traffic prediction.
In this project, we will address these gaps. Firstly, we will study the spatial-temporal characteristics of service-level traffic patterns at multi-scales, based on which, we will investigate the traffic predicting frameworks for individual services. Secondly, for the first time, we will investigate the traffic correlation among different services and try to discover the underlying reasons by analyzing the service usage profiles of different user groups. Finally, based on inter-service correlations, we will investigate whether we can improve service-level traffic prediction accuracy and whether we could execute prediction for diverse services according to the historical records of only a few key services.
The success of the CORRELATION project will make proactive network slicing possible, which will then drive proactive network optimisation for 5G and beyond mobile networks.
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "CORRELATION" project.
For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.
Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "CORRELATION" are provided by the European Opendata Portal: CORDIS opendata.