Ranplan Wireless recently announced that it has been selected for a €225,000 EU research project to drive new research into how AI-based data analytics can help to optimise sliced 5G mobile networks.
Project CORRELATION aims to profile mobile users and their consumption of 5G services so that networks can adapt dynamically to meet instant requests for bandwidth and services. By accurately profiling individual users and understanding their data consumption habits in real-time to predict traffic patterns, the research will help operators optimise network slicing performance and ultimately the mobile user experience.
The two-year project will investigate the correlation of traffic among different services by analysing the usage and profiles of user groups as well as discover the underlying factors behind the resultsInvestigate whether service level traffic prediction accuracy can be improved.
The CORRELATION project will complement the BANYAN project, a €1.4M H2020 project led by Ranplan, with other beneficiary/partners of CNR, Italy, Orange Labs, France, and the University of Cambridge, UK.
Prof. Jie Zhang, Founder and Chairman, Ranplan Group
Research on the characterisation and prediction of service-level mobile traffic is still in its infancy, largely because the methodology, especially for 5G, has not been studied adequately.
