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

机译:5G无线接入网络中的控制感知资源分配质量

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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.
机译:本文调查了放松远程机器人单元控制用例的无线资源消耗的可能性。我们提出了一种控制质量(QoC)--Aware无线资源分配策略,其基于机器人臂移动阶段的分类为高低衡量的衡量衡量要求。我们评估我们在仿真环境中的提出方法,以防止基于局部控制的敏捷机器人解决工业自动化竞争(ARIAC)[1]。评估表明,可以保存54 %的无线电时间,而不会影响机器人单元的生产率。

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