Multi-Access Edge Computing performance into Non-Public 5G Networks: A robot-based experiment

The fifth generation of cellular communications (5G) provides enough performance to carry on scenarios that require low latency such as robot control remote computing. In this work, it is presented an experiment focused on the trajectory management of a 5G connected arm robot end-effector with image processing in the Edge. This use case, which is integrated into a Non-Public 5G network (NPN), provides several improvements in terms of network configuration to enable the development of Multi-Access Edge Computing (MEC) use cases by enhancing uplink throughput.