Statistical Characterization of Closed-Loop Latency at the Mobile Edge
Suraj Suman, Federico Chiariotti, Cedomir Stefanovic and, Strahinja Dosen, Petar Popovski

TL;DR
This paper provides a statistical framework for analyzing and optimizing closed-loop latency in mobile edge systems, with a focus on teleoperation, revealing insights on data compression and system design for latency-critical applications.
Contribution
It introduces a novel analytical approach to characterize and optimize closed-loop latency in MEC-enabled systems, including bounds and efficient optimization procedures.
Findings
Compression of sensing data is not always beneficial.
System design based on average performance can cause under-provisioning.
The analysis applies to various latency-critical systems beyond teleoperation.
Abstract
The stringent timing and reliability requirements in mission-critical applications require a detailed statistical characterization of the latency. Teleoperation is a representative use case, in which a human operator (HO) remotely controls a robot by exchanging command and feedback signals. We present a framework to analyze the latency of a closed-loop teleoperation system consisting of three entities: HO, robot located in remote environment, and a Base Station (BS) with Mobile edge Computing (MEC) capabilities. A model of each component of the system is used to analyze the closed-loop latency and decide upon the optimal compression strategy. The closed-form expression of the distribution of the closed-loop latency is difficult to estimate, such that suitable upper and lower bounds are obtained. We formulate a non-convex optimization problem to minimize the closed-loop latency. Using…
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Taxonomy
TopicsAge of Information Optimization · Distributed Sensor Networks and Detection Algorithms · Energy Efficient Wireless Sensor Networks
