Dynamic Resource Scheduling Optimization for Ultra-Reliable Low Latency Communications: From Simulation to Experimentation

Abstract

In this paper, we propose a dynamic and efficient resource scheduling based on Lyapunov's optimization for Ultra-Reliable Low Latency Communications, taking into account the traffic arrival at the network layer, the queue behaviors at the data link layer and the risk that the applied decision might result in packet losses. The trade-off between the resource efficiency, latency and reliability is achieved by the timing and intensity of decisions and is adapted to dynamic scenarios (e.g., random bursty traffic, time-varying channel). Our queue-aware and channel-aware solution is evaluated in terms of latency, reliability outage and resource efficiency in a system-level simulator and validated by an experimental testbed using OpenAirInterface.