Mavenir, an end-to-end cloud-native network software provider, has extended artificial intelligence (AI) and analytics portfolio to enable closed-loop automation and drive digital transformation
AI and machine learning (ML) in mobile network infrastructure are expected to lower costs by automating functions that typically require human interaction and to speed new revenue-generating service offerings, becoming increasingly important as edge, open radio access networks (Open RAN), and 5G cores get deployed.
Mavenir’s AI and Analytics portfolio includes solutions designed to analyse and derive inferences from vast amounts of unstructured data to automate networks, achieve cost savings, and build out 5G use cases. Many Industry 4.0 use cases such as Intelligent Video Analytics and AR/VR are enabled by 5G that require AI-driven inferences at the edge. Mavenir’s portfolio includes these AI-enabled applications for network automation, intelligent operations, EdgeAI, and network security.
1) Network Automation: Mavenir’s RAN Intelligent Controller (RIC) and Network Data Analytics Function (NWDAF) follow the specifications introduced by the O-RAN Alliance and 3GPP and operate as the heart of a network automation vision. The RIC and NWDAF enable the network to dynamically adapt to traffic conditions using machine learning (ML)-based algorithms and applications that can be deployed in any network in a multi-vendor environment. Mavenir’s containerised RIC and NWDAF product capabilities include:
Non-RT RIC: designed to host advanced ML algorithms (rApps) to optimise network performance and train ML models using long-term RAN data for dynamic and adaptive policy for RAN performance optimisation.
Near-RT RIC: designed to host trained AI/ML models (xApps) to infer and control O-RAN functional elements in near-real-time.
NWDAF: designed to ingest data from 5G standalone (SA) network functions and to provide various analytics and intelligence services for smart network operation.
2) Intelligent Operations: By automating network operational processes with AI and analytics solutions, operators should be able to substantially reduce the cost and time from traditional, more labour-intensive methods such as drive testing, log inspection, troubleshooting, and manual calibration. With AI-based prediction engines, operators can achieve intelligent capacity planning and reduce the possibility of large-scale network outages. With anomaly detection capability, operators can uncover underlying network faults that are not easily visible. This AI-driven Operations (AIOps) solution using ML techniques plays a key role in reducing operating expenses and gives operators complete control over their networks.
3) 5G EdgeAI: Mavenir’s 5G EdgeAI solution includes Intelligent Video Analytics that can support myriad of use cases from facial recognition to anomaly detection for smart city and industry 4.0 use cases. The next generation of AR/VR applications is accelerated and enhanced by this edge platform. A large number of sensor data gets analysed and actions are taken in a matter of milliseconds by the edge Industrial Internet of Things (IIoT) analytics application.
4) Network security: As new vulnerabilities arise, Mavenir’s Fraud Management and Security Suite protect the network in real-time with predictive analytics and ML. Real-Time Fraud Management and Security analytics is leveraging unique ML algorithms and a specifically designed framework suited to manage the volume, velocity, and variety of structured and unstructured data over wireless networks.
