Quality of Control-Aware Resource Allocation in 5G Wireless Access Networks

Abstract

This paper investigates the possibilities of relaxing the wireless resource consumption of a remote robot cell control use case. We propose a Quality of Control (QoC)-aware wireless resource allocation strategy that is based on the categorization of the robotic arm movement phases into high and low QoC requiring movements. We evaluate our proposed method in a simulation environment against the local controlled based solution of the Agile Robotics for Industrial Automation Competition (ARIAC) [1]. The evaluation shows that 54% of the radio time on average can be saved without affecting the productivity of the robot cell.