Core Analysis
Intelligence at the Core
What is the Mobile Core Network?
What is the Mobile Core Network?
A mobile network consists of three major parts: User Equipment (UE), Radio Equipment, and Core Network (CN). A core network, also known as a backbone network, can be likened to the nervous system or the brain of a whole mobile telecommunications network, as it operates and manages the UE and radio equipment. The 5G network core (5GC) is based on the EPC architecture. It is a service-based architecture (SBA) introduced for 5G to drive more automated and efficient networks, enabling all core network elements to be deployed in the cloud without the need for physical equipment. Network stability is imperative in the core network precisely because it acts as the gateway for voice and data services to mobile devices.
How Can RADCOM Core Analysis Help You?
RADCOM delivers a comprehensive network core analysis and troubleshooting solution, supporting all multi-vendor technologies from 2G to 5G SA. It analyzes, monitors, and optimizes the core’s performance, proactively detecting issues before they affect subscribers, ensuring enhanced customer experiences and driving top-quality services. Its core solution provides an end-to-end solution with lightweight, containerized components for dynamic and flexible automated intelligent assurance.
Deployed on private, public, or hybrid networks, the cloud-native solution is an integral part of the network, enabling real-time monitoring of both encrypted and unencrypted traffic. It provides a comprehensive suite of engineering tools, including patented tapping, network packet brokers, and probes that diagnose service degradations from macro to micro levels.
Discover how you can optimize your 5G Network Core now
Benefits
Cloud native
approach
Full visibility
Robust resiliency
Multi-environment
Decoupling system
functionality
Drives automation
View our Core Analysis Portfolio
Core Network Analysis
RADCOM delivers next-generation customer and service insights across the core control plane, including user plane and control plane data. Vendor-agnostic, it addresses the challenges of deploying assurance on numerous environments. Offering a closed-loop approach, it is cloud-native, injecting a virtualized component into the network function pods to analyze encrypted and unencrypted traffic in real-time.
Core AIOps
RADCOM Core AIOps leverages artificial intelligence, machine learning, and heuristic modeling to enable data visualization, ease workloads, manage network operations, and reduce the time to detect and resolve faults. These integrated AIOps capabilities help identify traffic patterns and trends and help create rules and policies that proactively prevent degradations.
