Characterization and prediction of service-level traffic for future sliced mobile network

Project description

Paving the way for Network slicing

The digitalisation of industries and the increased need for better internet and mobile networks have given rise to several innovations. One of these is network slicing. It has garnered attention as an enabling technology for 5G networks, allowing for multiple logical network instances on the same physical network, which can be formed or combined depending on the users’ needs. However, there is not enough research on the technologies needed for characterising and predicting traffic patterns in real-time so implementation of network slicng lacks feasibility. What is needed is information on service-level mobile traffic, traffic characteristics in 5G services, traffic correlation, and inter-service correlations. The EU-funded CORRELATION project will fill this knowledge gap and enable the optimal use of proactive network slicing.

Fields of science

• engineering and technology › electrical engineering, electronic engineering, information engineering › information engineering › telecommunications › telecommunications networks › mobile network › 5G

Programme(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Topic(s)

• MSCA-IF-2018 - Individual Fellowships

Call for proposal

H2020-MSCA-IF-2018

See other projects for this call

Funding Scheme

MSCA-IF-EF-SE - Society and Enterprise panel

Coordinator

RANPLAN WIRELESS NETWORK DESIGN LTD

Net EU contribution

€ 224 933,76

Address

Upper Pendrill Court Ermine Street North Papworth Everard
CB23 3UY Cambridge
United Kingdom

Region

East of England › East Anglia › Cambridgeshire CC

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

Links

Other funding

€ 0,00