论文标题
5G启用了故障检测和诊断：我们如何实现效率？
5G Enabled Fault Detection and Diagnostics: How Do We Achieve Efficiency?
论文作者
论文摘要
第五代无线网络（5G）技术和移动边缘计算（MEC）提供了为工业互联网提供新功能的巨大承诺。但是，由5G超级可靠的低延迟通信（URLLC）范式启用的解决方案都带有挑战，仅URLLC并不一定保证有效执行时间关键时间关键性故障检测和诊断（FDD）应用程序。根据田纳西州伊士曼流程模型，我们提出了通信 - 交流循环（CEC）循环的概念，以及用于评估FDD应用程序效率的系统模型。然后，我们为实现定义的CEC效率提出了一个优化问题，并讨论了基于CEC的FDD服务的一些典型解决方案，并提出了一种新的基于上行链路的通信协议，称为“ Reflexup”。从绩效分析和数值结果中，与典型的重复ARQ，HARQ和“占用牛”等典型协议相比，提出的反射协议在延迟，可靠性和效率等关键指标方面显示了其有效性。在典型的基于5G MEC的实施中，基于MMWave的模拟进一步确信这些结果。
The 5th-generation wireless networks (5G) technologies and mobile edge computing (MEC) provide great promises of enabling new capabilities for the industrial Internet of Things. However, the solutions enabled by the 5G ultra-reliable low-latency communication (URLLC) paradigm come with challenges, where URLLC alone does not necessarily guarantee the efficient execution of time-critical fault detection and diagnostics (FDD) applications. Based on the Tennessee Eastman Process model, we propose the concept of the communication-edge-computing (CEC) loop and a system model for evaluating the efficiency of FDD applications. We then formulate an optimization problem for achieving the defined CEC efficiency and discuss some typical solutions to the generic CEC-based FDD services, and propose a new uplink-based communication protocol called "ReFlexUp". From the performance analysis and numerical results, the proposed ReFlexUp protocol shows its effectiveness compared to the typical protocols such as Selective Repeat ARQ, HARQ, and "Occupy CoW" in terms of the key metrics such as latency, reliability, and efficiency. These results are further convinced from the mmWave-based simulations in a typical 5G MEC-based implementation.
