System analysis of QoS schedulers for XR traffic in 5G NR

Fifth Generation New Radio (5G NR) presents a new framework for Quality-of-Service (QoS) management that especially fits cases eXtended Reality (XR) traffic applications thanks to the presented concept of QoS flows can handle various service data flows. In respect, in this paper we exploit flow model and present MAC scheduler classify XR mixed based on assigned indicators each traffic. We perform an end-to-end system level evaluation under two scenarios using ns-3 5G-LENA simulator. First, validate correct operation single-cell scenario non-saturation saturation conditions. Then, consider realistic multi-cell defined by ITU-R used calibration simulator, order evaluate proposed solution study its performance network Results demonstrate functionality prove ability other types desired indicators.