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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.


Net EU contribution
€ 224 933,76
Upper Pendrill Court Ermine Street North Papworth Everard
CB23 3UY Cambridge
United Kingdom

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East of England East Anglia Cambridgeshire CC
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 0,00