Infosys Cell Utilization Monitor rApp
Analyzes gNB resource utilization at the MAC layer across 5G networks using PM data to identify underutilized and overutilized cells. Provides configurable Grafana dashboards and REST APIs for parameter insights, enabling proactive network optimization through Non-RT RIC integration in EIAP.
Customizable Cell Utilization Detection
Enables network operators to configure and modify utilization thresholds through API endpoints, providing adaptable and precise detection of underutilized and overutilized 5G cells. The live Grafana visualization platform delivers immediate insights into identified cells along with their configuration details, facilitating focused diagnostics and ongoing network enhancement within EIAP
Enhanced Network Transparency
Integrates intuitive Grafana dashboards for comprehensive visualization of cell performance metrics. This transparency empowers operations teams to instantly assess network efficiency, prioritize interventions based on resource allocation patterns, and implement strategic optimization measures. The interactive interface enables quick decision-making for capacity planning and energy management initiatives.
Proactive, Data-Driven Resource Management
By providing early detection and dashboard-based insights, the rApp supports proactive maintenance and intelligent network management. Automated identification of resource inefficiencies reduces manual monitoring effort, minimizes performance degradation, and ensures resource allocation done by gnb and improve user experience.
Product information
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Ready for TrialYes
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AI EnabledNo
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Closed loopYes
Company
- Infosys
Category
- Network Optimization
Technology
- 4G
- 5G
Vendors Supported
- Ericsson
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Infosys is a global leader in digital services and consulting, enabling telecom operators to accelerate network transformation through AI, automation, and cloud-native solutions. With deep expertise in RAN engineering and intelligent platforms, Infosys empowers CSPs to drive operational efficiency and innovation across next-generation networks. |
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