ns-O-RAN: Simulating O-RAN 5G Systems in ns-3

Abstract

O-RAN is radically shifting how cellular networks are designed, deployed and optimized through network programmability, disaggregation, and virtualization. Specifically, RAN Intelligent Controllers (RICs) can orchestrate and optimize the Radio Access Network (RAN) operations, allowing fine-grained control over the network. RICs provide new approaches and solutions for classical use cases such as on-demand traffic steering, anomaly detection, and Quality of Service (QoS) management, with an optimization that can target single User Equipments (UEs), slices, cells, or entire base stations. While this comes with the potential to enable intelligent, programmable RANs, there are still significant challenges to be faced, primarily related to data collection at scale, development and testing of custom control logic for the RICs, and availability of Open RAN simulation and experimental tools for the research and development communities. To address this, we introduce ns-O-RAN, a software integration between a real-world near-real-time RIC and an ns-3 simulated RAN which provides a platform for researchers and telco operators to build, test and integrate xApps. ns-O-RAN extends a popular Open RAN experimental framework (OpenRAN Gym) with simulation capabilities that enable the generation of realistic datasets without the need for experimental infrastructure. We implement it as a new open-source ns-3 module that uses the E2 interface to connect different simulated 5G base stations with the RIC, enabling the exchange of E2 messages and RAN KPMs to be consumed by standard xApps. Furthermore, we test ns-O-RAN with the OSC and OpenRAN Gym RICs, simplifying the onboarding from a test environment to production with real telecom hardware controlled without major reconfigurations required. ns-O-RAN is open source and publicly available, together with quick-start tutorials and documentation.