论文标题

关于IIT的无线网络控制系统的延迟,速率和可靠性权衡

On the Latency, Rate and Reliability Tradeoff in Wireless Networked Control Systems for IIoT

论文作者

Liu, Wanchun, Nair, Girish, Li, Yonghui, Nesic, Dragan, Vucetic, Branka, Poor, H. Vincent

论文摘要

无线网络控制系统(WNCSS)为行业物联网(IIOT)提供了关键的启用技术。但是,在WNCSS的文献中,大多数研究都集中在控制视角上,并考虑了无线通信模型过多的模型,这些模型不会捕获实用无线通信系统的关键参数,例如延迟,数据速率和可靠性。在本文中,我们专注于WNC,在该WNC中,控制器通过无线通道将经过量化和编码的控制代码字传输到远程执行器,并采用无线通信系统的详细模型,该模型共同考虑了相关的通信参数。我们得出WNC的稳定区域。当且仅当通信参数的元组位于该地区时,平均成本函数(即WNCS的性能度量标准)是有限的。我们进一步获得了稳定区域为$ n $结合的必要条件,其中$ n $是控制码字形块长度。我们还分析了WNC的平均成本函数。这样的分析是非平凡的,因为有限位对照信号量化器引入了非线性和不连续的量化函数,这使得性能分析非常困难。就延迟,数据速率和可靠性而言,我们在平均成本函数上得出了紧密的上限和下限。我们的分析结果为最佳参数设计提供了重要的见解,以最大程度地减少稳定区域内的平均成本。

Wireless networked control systems (WNCSs) provide a key enabling technique for Industry Internet of Things (IIoT). However, in the literature of WNCSs, most of the research focuses on the control perspective, and has considered oversimplified models of wireless communications which do not capture the key parameters of a practical wireless communication system, such as latency, data rate and reliability. In this paper, we focus on a WNCS, where a controller transmits quantized and encoded control codewords to a remote actuator through a wireless channel, and adopt a detailed model of the wireless communication system, which jointly considers the inter-related communication parameters. We derive the stability region of the WNCS. If and only if the tuple of the communication parameters lies in the region, the average cost function, i.e., a performance metric of the WNCS, is bounded. We further obtain a necessary and sufficient condition under which the stability region is $n$-bounded, where $n$ is the control codeword blocklength. We also analyze the average cost function of the WNCS. Such analysis is non-trivial because the finite-bit control-signal quantizer introduces a non-linear and discontinuous quantization function which makes the performance analysis very difficult. We derive tight upper and lower bounds on the average cost function in terms of latency, data rate and reliability. Our analytical results provide important insights into the design of the optimal parameters to minimize the average cost within the stability region.

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