VIAVI’s intensive portfolio of emulators can simulate each facet of RAN networks, from purpose-built methods to 3GPP and O-RAN networks together with future 6G /NTN and HetNet deployments. The RAN Situation Generator (RSG) is a system-level RAN simulator particularly designed to validate and benchmark the rising Open RAN ecosystem, notably the RAN Clever Controller (RIC), in each near-real-time and non-real-time situations. Moreover, it will probably generate RAN particular knowledge units which can be utilized to coach AI/ML fashions of clever AI-driven RAN purposes corresponding to SON, rApps, xApps and extra.
The RSG precisely simulates system-level RAN habits, making a RAN Digital Twin (RDT) that mimics actual community circumstances and behaviors. This highly effective answer can emulate numerous topologies, configurations, mobility patterns and visitors profiles on each actual and artificial maps. Supporting 4G, 5G, rising 6G and NTN networks, the AI RSG unlocks countless prospects to coach AI-driven fashions for optimization of applied sciences like huge MIMO, making it important for superior community efficiency.
Scalability
The TeraVM AI RSG can simulate as much as 10,000 person tools (UEs) and between 1,000 and 5,000 cells per reference server. It may be deployed in Docker containers inside cloud environments or on devoted servers. The dimensions will depend on the particular use case, with the flexibility to generate knowledge at numerous granularities, from one minute to every day intervals for a lot of weeks and even months. The device’s scalability matrix helps outline parameters for various situations.
Use Instances and Capabilities
Customers can import real-world maps with streets, buildings and community configurations to create UE profiles that simulate actions, handovers and useful resource requests. Visitors demand profiles may also be generated, enabling UEs to change between idle and lively states whereas consuming various quantities of Bodily Useful resource Blocks (PRBs). Layer 1 radio circumstances are modeled and fed into the Layer 2 scheduler, which assigns PRBs primarily based on the Channel High quality Indicator (CQI). AI RSG helps numerous scheduling varieties and permits customers to introduce anomalies like interference to review their results on signal-to-noise ratio (SNR) and throughput.
- MU-MIMO: The AI RSG helps Layer 1 simulation with lively antennas and numerous beamforming strategies, together with analog, digital and hybrid strategies. It accommodates various kinds of lively antennas with configurable arrays for beamforming, corresponding to SSB and CSI-RS. The RSG can simulate actual neighborhoods by importing detailed descriptions of buildings and supplies. Initially an artificial simulator, it now helps numerous indoor protection strategies in accordance with the 3GPP commonplace (TS 38.901). The device has been efficiently utilized by Tier 1 clients creating huge MIMO use instances.
- Non-Terrestrial Networks: The RAN Situation Generator is enhancing its capabilities by integrating help for Non-Terrestrial Networks (NTN), complementing its terrestrial community options. This addition offers important NTN KPIs for machine studying (ML) coaching, optimizing satellite tv for pc useful resource utilization whereas factoring in prices and bandwidth. The RSG facilitates ML mannequin coaching for environment friendly handover choices between NTN and terrestrial networks, guaranteeing clean and cost-effective transitions. Moreover, the AI RSG consists of an NTN Planning Instrument that addresses emergency handover situations, capability planning and IoT protection, making it a complete answer for superior community planning.
- RAN Clever Controller: The AI RAN Situation Generator gives a cheap answer for coaching r/xApps throughout numerous community situations. By emulating various visitors patterns and person behaviors, it exposes r/xApps to real-world RAN circumstances, getting ready them for reside deployment. The device can simulate dynamic environments by controlling person actions, person counts and repair utilization at completely different occasions, all whereas accounting for altering radio circumstances and their impression on assets and scheduling. This dynamic simulator operates in a closed loop, interacting with purposes and mimicking your entire community’s habits.
- AI Optimization: Integrating actual community visitors patterns and KPIs enhances realism, reworking the system right into a complete Digital Twin that displays the operator’s precise community, absolutely coaching AI/ML optimization algorithms for improved efficiency.
The AI RAN Situation Generator (RSG) gives a versatile and full answer for present and future community testing and optimization, outfitted with knowledge publicity, integration and an app validation engine. As networks evolve, VIAVI is dedicated to increasing the device’s capabilities to fulfill these rising calls for. The development from the AI-enabled RSG to a completely developed RAN Digital Twin displays VIAVI’s ongoing innovation and technological developments.
