Delay violation probability analysis for URLLC multi-user systems for finite blocklength regime

Abstract

The need for better communication is increasing day by day and consumer demands are shaping the development of mobile wireless networks. 5G mobile technologies promises to transfer a huge amount of data much faster. In wireless network systems with multiple users, minimizing delay violation probability is a critical challenge for ensuring a high-quality user experience. This study introduces a framework designed for the assessment of delay violation probabilities in multi-user downlink URLLC systems. Emphasizing the significance of employing a FBL transmission model to account for transmission errors, our proposed framework utilizes an infinite length of user queues at the base station, and delay violation probabilities are reported with respect to predefined target delays. To shed light on crucial trade-offs and performance limits, we evaluate and compare the delay violation performances of three well-known user scheduling algorithms, namely, RR, MaxCQI, and LQ, under various network conditions. Simulation results show that selecting an appropriate scheduling algorithm is critical to meet challenging target delay violation probabilities.