Dynamic Traffic Steering for Networked Robotics Using 3GPP-Compliant Application Functions
A novel traffic steering scheme that jointly considers real-time network conditions and MEC compute availability to optimize service instance selection and dynamically associates mobile clients with the most suitable service endpoint, minimizing end-to-end latency and improving load distribution is proposed.