Auto-RAN: Automated application-driven RAN slicing

We present an automated, application-driven approach to Radio Access Network (RAN) slicing, enhancing the adaptability of RANs to meet diverse Quality of Service (QoS) requirements for dynamic application traffic in next-generation mobile networks. In this demonstration, we deployed an end-to-end 5G network using OpenAirInterface (OAI), connected to a xApp and a NearReal-Time RAN Intelligent Controller (NearRT-RIC) based on FlexRIC to control and monitor the RAN in real-time. We implemented advanced automated control logic within a xApp, which continuously monitors the dynamic traffic patterns of each User Equipment (UE) and assesses their application-specific requirements, such as latency and bandwidth. Based on this real-time analysis, the xApp automatically enforces optimal RAN slicing policies, adjusting radio resource allocation and managing traffic within the RAN on the fly to ensure that each UE receives tailored QoS.