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BANYAN SIGNED

Big dAta aNalYtics for radio Access Networks

Total Cost €

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EC-Contrib. €

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Partnership

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Project "BANYAN" data sheet

The following table provides information about the project.

Coordinator
RANPLAN WIRELESS NETWORK DESIGN LTD 

Organization address
address: UPPER PENDRILL COURT ERMINE STREET NORTH PAPWORTH EVERARD
city: CAMBRIDGE
postcode: CB23 3UY
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 1˙390˙844 €
 EC max contribution 1˙390˙844 € (100%)
 Programme 1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
 Code Call H2020-MSCA-ITN-2019
 Funding Scheme MSCA-ITN-EID
 Starting year 2019
 Duration (year-month-day) from 2019-12-01   to  2023-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    RANPLAN WIRELESS NETWORK DESIGN LTD UK (CAMBRIDGE) coordinator 606˙345.00
2    CONSIGLIO NAZIONALE DELLE RICERCHE IT (ROMA) participant 784˙499.00

Map

 Project objective

As mobile services consumed by people and machines become increasingly diversified and heterogeneous, 4G/5G networks are asked to meet a growing variety of Quality of Service (QoS) requirements. Network slicing, enabled by Network Function Virtualization (NFV), is a promising paradigm to increase the agility and elasticity of the mobile network via logical slices that can be formed and composed dynamically, so as to adapt to the fluctuations in the demands for different mobile services.

A key enabler for network slicing is accurate data-driven models and the prediction of the spatio-temporal dynamics of the mobile service traffic, which allow discovering knowledge relevant to the orchestration of slices and anticipating the need for their reconfiguration. The need for effective data-driven slice management is especially critical in proximity of indoor Radio Access Network (RAN), which must accommodate most of the volume and variations in the demand associated to each mobile service and whose performance is crucial to user QoS.

The BANYAN project is designed to address major open issues towards the realisation of data-driven 5G RAN, as follows: - Modelling and forecasting macroscopic high-dimensional mobile traffic patterns observed at RAN for individual services, at multiple scales in time and space; - Geo-locating and characterising in-building mobile traffic patterns observed at RAN; - Designing data-driven strategies for the allocation of 5G RAN resources; - Designing data-driven policies for the orchestration of 5G RAN resources to suit service requirements and dynamics via network slices; - Coordinating outdoor and indoor heterogeneous networks to meet user QoS requirements.

To address the research objectives above, BANYAN pursues a tight academic-industrial cooperation, which will allow developing key tools for data-driven 5G RAN, as well as properly training early-stage researchers who are urgently needed by industry, academia, etc.

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The information about "BANYAN" are provided by the European Opendata Portal: CORDIS opendata.

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lastchecktime (2020-07-12 19:14:57) correctly updated