Abstract
This work aims to use Artificial Intelligence/Machine Learning (AI/ML) underlying the proposition of algorithms to optimize resource allocation in 5G networks, where the Radio Access Network (RAN) complies with the O-RAN architecture, considering jointly the network slicing paradigm, the virtualization of the RAN stack and the RAN disaggregation in Virtualized Network Functions (VNFs). Th…