论文标题
智能工厂中的自适应控制平面增加容错和吞吐量
Increasing Fault Tolerance and Throughput with Adaptive Control Plane in Smart Factories
论文作者
论文摘要
预计未来的智能工厂将在THZ通信频段中部署具有高带宽无线连接的新兴动态虚拟现实（VR）应用程序，工厂工人可以通过360°的视频流进行高质量分辨率的视频流。但是，THZ通信虽然有望作为高带宽无线通信技术，但以低容易的公差而闻名，并且对外部因素是明智的。由于THZ通道状态通常很难估算，因此需要的是可以根据编码和调制来适应收发器配置的系统。为此，我们提出了一个自适应控制平面，可以帮助我们配置THZ通信系统。控制平面实现了一种工作流程算法，该算法旨在根据THZ通道状态自适应地在各种编码和调制方案之间进行选择。结果表明，自适应控制平面可以改善吞吐量和信号分辨率的质量，理论上零位误差概率和方案中最大可实现的吞吐量。
Future smart factories are expected to deploy an emerging dynamic Virtual Reality (VR) applications with high bandwidth wireless connections in the THz communication bands, where a factory worker can follow activities through 360°video streams with high quality resolution. THz communications, while promising as a high bandwidth wireless communication technology, are however known for low fault tolerance, and are sensible to external factors. Since THz channel states are in general hard to estimate, what is needed is a system that can adaptively react to transceiver configurations in terms of coding and modulation. To this end, we propose an adaptive control plane that can help us configure the THz communication system. The control plane implements a workflow algorithm designed to adaptively choose between various coding and modulation schemes depending on THz channel states. The results show that an adaptive control plane can improve throughput and signal resolution quality, with theoretically zeroed bit error probability and a maximum achievable throughput in the scenarios analayzed.
