Systems and methods for radio access network service feasibility assessment

Abstract

A device may include a processor configured to obtain requirements for a wireless communication service to be deployed on a carrier on a sector of a base station and obtain key performance indicator (KPI) values for the carrier on the sector of the base station. The processor may be further configured to use a trained machine learning model to determine a required capacity and a predicted average latency for the wireless communication service based on the obtained requirements and the obtained KPI values; determine that the wireless communication service satisfies a deployment requirement to be deployed on the carrier on the sector of the base station based on the determined required capacity and the predicted average latency; and deploy the wireless communication service on the carrier on the sector of the base station, in response to determining that the wireless communication service satisfies the deployment requirement.