Keysight P8822S RuSIM RAN Testing Toolset
Highlights
Successfully deployed by multiple industry leaders, Keysight’s RuSIM solution is a 4G and 5G user equipment (UE) and O-RAN radio unit (O-RU) emulator. RuSIM enables infrastructure vendors, chipset providers, and mobile operators to easily perform functional, conformance, and performance testing of O-RAN distributed units (O-DUs) over fronthaul functional split option 7.2x. Fully scalable and virtualized, the solution runs also on commercial-off-the-shelf servers without the need for layer-1 hardware accelerators or special-purpose hardware and offers a migration path to the Cloud.
The Radio Access Network (RAN) is a vital component of mobile telecommunications systems, connecting individual devices to the broader network through radio connections. In the context of 5G, modern RAN technologies have significantly evolved to support higher speeds, lower latency, and greater capacity. Key features of modern RAN include:
- Massive MIMO (Multiple Input Multiple Output, mMIMO)
- Beamforming
- Network Slicing
Open RAN (O-RAN) is an approach to building RANs using open and interoperable interfaces, allowing components from different vendors to work together providing following flexibility for the network providers and operators.
Artificial Intelligence (AI) and Machine Learning (ML) play a crucial role in modern RAN. AI enhances optimization of network performance, efficiency and adaptability. AI analyzes real-time data for better resource allocation, reduces latency, and enables predictive maintenance to prevent issues. This results in smarter, more reliable networks ready for future advancements like 6G.
The Radio Access Network (RAN) is a vital component of mobile telecommunications systems, connecting individual devices to the broader network through radio connections. In the context of 5G, modern RAN technologies have significantly evolved to support higher speeds, lower latency, and greater capacity. Key features of modern RAN include:
- Massive MIMO (Multiple Input Multiple Output, mMIMO)
- Beamforming
- Network Slicing
Open RAN (O-RAN) is an approach to building RANs using open and interoperable interfaces, allowing components from different vendors to work together providing following flexibility for the network providers and operators.
Artificial Intelligence (AI) and Machine Learning (ML) play a crucial role in modern RAN. AI enhances optimization of network performance, efficiency and adaptability. AI analyzes real-time data for better resource allocation, reduces latency, and enables predictive maintenance to prevent issues. This results in smarter, more reliable networks ready for future advancements like 6G.
