Delay Analysis for URLLC in 5G Based on Stochastic Network Calculus

Abstract

Ultra-reliable low latency communications (URLLC) is one of the most important scenarios in 5G. URLLC with strict latency and reliability requirements is widely used in delay-sensitive applications such as self-driving. As the 3GPP claimed, the URLLC is amenable to 99.999% transmission correctness and within 1 ms delay bound. How to meet the requirements of reliability and latency is still an open issue. Few efforts have been made on applying a theoretical method to analyze the delay bound. Stochastic network calculus is an elegant way to obtain the delay bound based on traffic models and service guarantees. In this paper, we take the character of 5G architecture into account and use the stochastic network calculus to analyze the delay in URLLC. A tandem model is built to simulate the generation of delay in 5G network. Some factors which can influence on the delay are obtained. Numerical results are presented to verify the correctness of the delay analysis. Optimizing these factors to reduce the delay will provide valuable guidelines for the early design of URLLC architecture.