Abstract
The paper proposes Resource Allocation (RA) schemes for a closed loop feedback control system by analysing the control-communication dependencies. We consider an Automated Guided Vehicle (AGV) that communicates with a controller located in an edge-cloud over a wireless fading channel. The control commands are transmitted to an AGV and the position state is feedback to the controller at every time-instant. A control stability based scheduling metric 'Probability of Instability' is evaluated for the resource allocation. The performance of stability based RA scheme is compared with the maximum SNR based RA scheme and control error first approach in an overloaded and non-overloaded scenario. The RA scheme with the stability constraints significantly reduces the resource utilization and is able to schedule more number of AGVs while maintaining its stability. Moreover, the proposed RA scheme is independent of control state and depends upon consecutive packet errors, the control parameters like sampling time and AGV velocity. Furthermore, we also analyse the impact of RA schemes on the AGV's stability and error performance, and evaluated the number of unstable AGVs.
Abstract (translated)
本论文提出了一种基于控制的反馈控制系统的资源分配方案,通过分析控制通信依赖关系来实现。我们考虑了一种在无线频谱干扰条件下位于边缘云的控制控制器与自动引导车(AGV)之间的通信。控制命令通过向AGV发送,并且每个时间 instant 都对控制器进行反馈。为了评估资源分配,我们提出了一种基于控制稳定的调度指标,即“不稳定概率”。该指标与最大信噪比基于资源分配方案和控制错误的第一步方法进行比较。具有控制限制的资源分配方案 significantly 降低了资源利用率,并在保持稳定性的同时能够调度更多的AGV。此外,我们提出了一种资源分配方案,它不受控制状态的影响,并依赖于连续 packet 错误、采样时间和AGV 速度等控制参数。此外,我们还分析了资源分配方案对AGV 稳定性和错误性能的影响,并评估了不稳定的AGV 数量。
URL
https://arxiv.org/abs/2301.09388
