IEEE Transactions on Wireless Communications · 2019 · 87 citations · 37 references
ComputingComputer EngineeringComputer SystemsMobile ComputingMobile SystemsReal-time SystemsLatency AnalysisLatency OptimizationMobile CommunicationMobile NetworksReal-time Systems DesignCellular Network OptimizationCellular NetworksEnd-to-end Delay OptimizationLatency Trade-offsLow-latency CommunicationRemote ControlRemote Control SystemsUltra-reliable Low-latency Communication
Ultra‑reliable and low‑latency communications (URLLC) are one of three new application scenarios envisioned for 5G cellular networks. The study aims to reduce user‑experienced delay by having mobile devices predict future states and pre‑send them to a data center. They model prediction errors and packet losses, formulate an optimization problem to maximize supported URLLC services by allocating time/frequency resources and prediction horizon, and validate the approach experimentally on a virtual factory using real tactile device mobility data. Simulations and a virtual‑factory experiment show that prediction and communication co‑design significantly improves the trade‑off between user‑experienced delay and reliability, enabling more URLLC services.
Ultra-reliable and low-latency communications (URLLC) are considered as one of three new application scenarios in the fifth generation cellular networks. In this work, we aim to reduce the user experienced delay through prediction and communication co-design, where each mobile device predicts its future states and sends them to a data center in advance. Since predictions are not error-free, we consider prediction errors and packet losses in communications when evaluating the reliability of the system. Then, we formulate an optimization problem that maximizes the number of URLLC services supported by the system by optimizing time and frequency resources and the prediction horizon. Simulation results verify the effectiveness of the proposed method, and show that the tradeoff between user experienced delay and reliability can be improved significantly via prediction and communication co-design. Furthermore, we carried out an experiment on the remote control in a virtual factory, and validated our concept on prediction and communication co-design with the practical mobility data generated by a real tactile device.
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Fundamentals of Statistical Signal Processing: Estimation Theory
Sailes K. Sengijpta · Technometrics · 1995 · 11.3K citations