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Latency-Reliability Tradeoffs for State Estimation
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DOI：10.1109/TAC.2020.2992563.png)
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Abstract
En 中文
The emerging interest in low-latency high-reliability applications, such as connected vehicles, necessitates a new abstraction between communication and control. Thanks to advances in cyber-physical systems over the past decades, we understand this interface for classical bit-rate models of channels as well as packet-loss-type channels. This article proposes a new abstraction characterized as a tradeoff curve between latency, reliability, and rate. Our aim is to understand-do we (control engineers) prefer faster but less reliable communications (with shorter codes), or slower but more reliable communications (with longer codes)? In this article, we examine the tradeoffs between latency and reliability for the problem of estimating dynamical systems over communication channels. Employing different latency-reliability curves derived from practical coding schemes, we develop a cross-layer design methodology, i.e., select the code length depending on the system dynamics to optimize system performance.
Keywords:
Reliability theory
Dynamical systems
Encoding
Delays
Estimation
Sensors
Channel coding
high-reliability
low-latency
networked control systems
state estimation
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