RADIO ACCESS NETWORK SLICE FEASIBILITY CHECK BASED ON MACHINE LEARNING

A method for a feasibility check of a new RAN slice performed by a network node is provided. The method includes computing a first estimate of occupied resources for each resource within at least one of the network node and a cell of the network node. The first estimate performed for each resource using historical data of a measurement of utilization of each resource. The method further includes applying a trained supervised machine learning model to provide a second estimate of resource demand for each resource for the new RAN slice. The method further includes comparing a sum of the first estimate and the second estimate to a defined threshold value; and admitting the new RAN slice when the sum has a value not greater than the defined threshold value per resource.