RADCOM RAN Experience Analytics
Optimize the RAN with Real-Time Insights
Taking 5G Analytics and Control to a New Level
View our Unified RAN-to-Core Offering
Our AI for RAN plays a pivotal role in 5G standalone deployments by automating tasks like traffic prediction, real-time resource optimization, and proactive maintenance. It is also helpful for energy efficiency, spectrum management, and to optimize RAN behavior. Learn more about RADCOM’s RAN Experience Analytics.
Problems in the radio access network (RAN) can cause serious subscriber-impacting issues. Engineering teams require a comprehensive understanding of RAN performance and the quality of subscribers’ experience with RAN network analytics. RADCOM’s RAN Experience Analytics (REA) provides telecom operators with critical insights into how to optimize the RAN and ensure optimal subscriber experience. RADCOM’s RAN Experience Analytics offers different features such as ensuring quality for mobility services, reducing the reliance on physical drive tests and the impact on the environment to validating new 5G cell sites. RADCOM embeds AI/ML for RAN insights that significantly helps reduce the time and effort network engineers spend investigating, resolving, and optimizing the network.
Benefits
Fast troubleshooting
and ticket resolution
Real-time visibility
into RAN performance
Understand the
customer experience
Easily optimize
all RAN configurations
Identify similar issues
across all subscribers
Integrate with self-organizing networks
Learn about RADCOM’s High-Capacity User Analytics with NVIDIA-powered BlueField-3 DPU to efficiently process enormous volumes of traffic data, all at the network edge. Read more.
Find out how you can optimize your 5G RAN now
See how RADCOM RAN Experience Analytics works
Features
RAN Monitoring and Analytics
RADCOM RAN Experience Analytics monitors the RAN and equips engineers with actionable insights into key performance indicators including reliability, signaling overhead and root cause analysis. It provides engineers with key insights to proactively detect and resolve anomalies. Vendor-agnostic by design, it correlates data across multi-vendor RANs and analyzes performance across spectrum bands to assess impact on user experience. The analytics cover both first degree metrics and advanced second-degree indicators like sleepy cell detection, cell outage prediction and spectral efficiency. This offers a complete view of the RAN network health and quality.
New Site Validation
RADCOM RAN Experience Analytics enables operators to conduct virtual tests before, during and after deployment to a new 5G site. This enables operators to reduce the reliance on physically driving to a new site, comparing radio performance and service quality to ensure fully optimized site rollouts. The virtual testing delivers a more efficient, cost-effective and sustainable approach to new site validation. Offering a detailed analysis whether from mobile or stationary, transitions from adjacent and remote cell, operators can drill down to the street level, and experience per device type, subscriber and group.
RAN Best Actions
RADCOM REA offers multiple teams the most efficient RAN actions and recommendations to improve performance, efficiency and customer experience. Integrating real-time data, it fills the gap in the network where there are weak spots including high-speed hand-offs, technology coverage holes in rural areas and transitions between hands and technologies. The solution suggests recommendations to solve any issues or problems, offering a customer-centric unified view of the RAN. This helps operators optimize the network before issues impact customers and ensures quality performance.
Route Analysis
RADCOM REA helps operators enhance nationwide mobility experience by monitoring the customer experience across all highways and railways 24/7. Benchmarking service quality on transportation routes, focusing on voice and data quality, RADCOM REA highlights the impact on the subscribers’ experience. By combining data from multiple sources, REA can emphasize anomalies in network loads and site congestion hours or days and visualizing them on heatmaps. Engineering teams can then mitigate issues before they impact subscribers and optimize coverage based on actual demand and usage patterns across all routes.
