On the impact of Open RAN Fronthaul Control in scenarios with XR Traffic

Abstract

Through extensive research and standardization efforts, mobile networks have rapidly evolved, offering improved services and allowing the establishment of new use cases, such as autonomous vehicles, smart cities, Industry 4.0, among others. While 5G networks have brought advancements that can support a broad spectrum of such new use cases, the requirements imposed by time-critical services as the eXtended Reality (XR) and Cloud Gaming (CG) applications still remain a challenge. Next generation networks are envisioned to adopt technologies that will allow them to surpass such barriers. Open Radio Access Network (RAN), utilizing the disaggregation paradigm, stands out as a pivotal technology thanks to its potential to endow the network with flexibility, automation, and intelligence. In fact, Open RAN is considered as one of the key enabling technologies for XR and CG applications. However, disaggregation of the RAN may result in bottlenecks in the links connecting the various parts of the network, like the Open Fronthaul link, especially when considering time-critical traffic. In this paper, we perform an analysis of the impact that the Open Fronthaul capacity limitations can have in the XR and CG traffic under 3GPP defined scenarios. Moreover, to address these limitations, we implement and extend a Fronthaul Control mechanism combined with modulation compression, using the open-source ns-3 based 5G-LENA network simulator. Results showcase that the Open Fronthaul capacity limitation can drastically reduce the performance of the XR and CG applications, and demonstrate the necessity for such mechanisms to be employed in order to meet their requirements in terms of latency and throughput.