Researchers at the Institute for the Wireless Internet of Things (WIoT) at Northeastern University and Mavenir, Mobile Network Software Provider, are pleased to announce the public availability of ns-O-RAN (Open Radio Access Network Simulator), the first open-source platform for end-to-end simulation of 5G wireless networks driven and optimized by Open Radio Access Network (Open RAN) components.
The ns-O-RAN simulator integrates ns-3 with O-RAN-compliant features, including the E2 application protocol and service models, to interface with an O-RAN standards-compliant Near-RT RIC. This effort results from a collaboration between the Institute for the Wireless Internet of Things (WIoT) of Northeastern University and Mavenir, which is a member of the WIoT Industry Consortium and of the Open6G initiative led by WIoT. The ns-O-RAN simulator builds on the popular open-source network simulator ns-3, a functional end-to-end network simulator that simulates all the layers of the RAN protocol stack along with core network functions and mobile traffic applications, and its 5G module from the University of Padova and NYU, that facilitates the LTE-5G NR dual connectivity RAN protocol stack on ns-3.
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ns-O-RAN has been designed and implemented to enable the integration of O-RAN software such as Mavenir’s Near-RT RIC with large-scale 5G simulations based on 3GPP channel models and a detailed modeling of the full 3GPP RAN protocol stack. This allows data collection of RAN Key Performance Metrics (KPMs) at scale, in different simulated scenarios, and with different applications (e.g., multimedia streaming, web browsing, wireless virtual reality, etc). ns-O-RAN supports an O-RAN-compliant E2 interface and implements two E2 service models (E2SM), E2SM-Key Performance Metrics (KPM) monitoring and E2SM-RAN Control (RC), that enable a closed-loop control (for example, of traffic steering and mobility).
“The goal of ns-O-RAN is to kickstart research on control of 5G RAN systems using xApps and the Open RAN interfaces” says Prof. Tommaso Melodia, Director of Northeastern University’s Institute for the Wireless Internet of Things, and Director of Research for the PAWR Project Office. “This includes research and development of methods and techniques based on big data, machine learning, and artificial intelligence (AI).”
“WIoT and Mavenir have used ns-O-RAN to prototype xApps to perform intelligent closed-loop control of handovers. Our optimization solutions are leveraging fine-grained UE-specific performance metrics based on E2SM-KPM, and UE-specific closed-loop control actions based on E2SM-RC, standardized in O-RAN and subsequently built-in ns-O-RAN, which substantially improves the throughput and spectral efficiency by an average of 30 – 50%, when compared to traditional heuristics, SON solutions and Non-O-RAN-based RRM solutions.” said Bejoy Pankajakshan, Executive Vice President and Chief Technology & Strategy Officer at Mavenir.