2018/11/01 by Mark Eisen, Eisen, Mark, Mohammad Mamunur Rashid +9
Computer Science · Engineering · #Advanced Wireless Network Optimization #FOS: Electrical engineering #Signal Processing (eess.SP) #Systems and Control (eess.SY) #Wireless Communication Networks Research #Wireless Networks and Protocols #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1811.00409
openalex publication_date 2018/11/01 · openalex created_date 2022/08/02 · openalex updated_date 2026/07/28
We consider the problem of allocating radio resources over wireless\ncommunication links to control a series of independent wireless control\nsystems. Low-latency transmissions are necessary in enabling time-sensitive\ncontrol systems to operate over wireless links with high reliability. Achieving\nfast data rates over wireless links thus comes at the cost of reliability in\nthe form of high packet error rates compared to wired links due to channel\nnoise and interference. However, the effect of the communication link errors on\nthe control system performance depends dynamically on the control system state.\nWe propose a novel control-communication co-design approach to the low-latency\nresource allocation problem. We incorporate control and channel state\ninformation to make scheduling decisions over time on frequency, bandwidth and\ndata rates across the next-generation Wi-Fi based wireless communication links\nthat close the control loops. Control systems that are closer to instability or\nfurther from a desired range in a given control cycle are given higher packet\ndelivery rate targets to meet. Rather than a simple priority ranking, we derive\nprecise packet error rate targets for each system needed to satisfy stability\ntargets and make scheduling decisions to meet such targets while reducing total\ntransmission time. The resulting Control-Aware Low Latency Scheduling (CALLS)\nmethod is tested in numerous simulation experiments that demonstrate its\neffectiveness in meeting control-based goals under tight latency constraints\nrelative to control-agnostic scheduling.\n