6G networks are expected to serve many more applications and devices at once, yet dense networks increase interference. Balancing the network load and assigning user equipment to different access points is a practical solution towards achieving 6G targets.  

The ORLANDO project aims to develop intelligent, spectrum-efficient load balancing solutions for dense Open Radio Access Network (O-RAN) deployments. Benefiting from University of York’s partnerships, ORLANDO has access to a large data set of real users’ movement and traffic.  

The data will be used to train a traffic prediction Machine Learning model and fine tune a generative AI to generate synthetic data for new environments and unforeseen events.  

FIND OUT MORE: https://pure.york.ac.uk/portal/en/projects/orlando-o-ran-intelligent-adaptive-load-balancing-and-efficiency-/