Performance of Joint XR and Best Effort eMBB Traffic in 5G-Advanced Networks

In this paper, we address the joint performance of eXtended reality (XR) and best effort enhanced mobile broadband (eMBB) traffic for a 5G-Advanced system. Although XR users require stringent throughput and latency performance, operators do not lose significant additional network capacity when adding XR users to an eMBB dominated network. For instance, adding an XR service at 45 Mbps with 10 ms packet delay budget, yields close to a 45 Mbps drop in eMBB capacity. In an XR only network layer, we show how the capacity in number of supported XR users depends significantly on the rate but also the latency budget. We show also how the XR service capacity is significantly reduced in the mixed service setting as the system goes into full load and other-cell interference becomes significant. The presented results can be used by cellular service providers to assess their networks performance of XR traffic based on their current eMBB performance, or as input to dimensioning to be able to serve certain XR traffic loads

PDU-set Scheduling Algorithm for XR Traffic in Multi-Service 5G-Advanced Networks

In this paper, we investigate a dynamic packet scheduling algorithm designed to enhance the eXtended Reality (XR) capacity of fifth-generation (5G)-Advanced networks with multiple cells, multiple users, and multiple services. The scheduler exploits the newly defined protocol data unit (PDU)-set information for XR traffic flows to enhance its quality-of-service awareness. To evaluate the performance of the proposed solution, advanced dynamic system-level simulations are conducted. The findings reveal that the proposed scheduler offers a notable improvement in increasing XR capacity up to 45%, while keeping the same enhanced mobile broadband (eMBB) cell throughput as compared to the well-known baseline schedulers

Enhanced CQI to Boost the Performance of 5G-Advanced XR With Code Block Group Transmissions

One of the rapidly emerging services for fifth-generation (5 G)-Advanced is eXtended Reality (XR), which combines several immersive experiences and cloud gaming services. Those services are demanding as they call for relatively high data rates under tight latency constraints, sometimes also referred to as dependable real-time applications. Supporting many XR users per cell requires highly efficient radio solutions. We utilize code block group (CBG)-based transmissions to enhance the XR performance, via smarter link adaptation and to reduce the retransmission overhead. We propose an enhanced channel quality indicator (CQI) that allows controlling the number of failed CBGs per transport block (TB) to its near-optimal value, as compared to using legacy CQI schemes that correspond to 10% TB error rates. We present both an analytical analysis of the related problems and solutions, as well as an extensive dynamic system-level performance assessment, to document the performance benefits of our proposals. Our results show an increased XR system capacity of 17% to 33% as compared to what can be supported by current 5 G systems with baseline CQI schemes. We also present enhanced CQI complexity-reducing techniques based on derived closed-form expressions that are attractive to the user equipment implementation