By working across multi-vendors in Open RAN, C-RAN, 5G Core and edge devices, the system is capable of rapid resolution through intelligent correlation across multi-vendor data and integrated trouble ticketing. It manages the end-to-end performance of large, complex and virtualized networks.

EAA-Network Assurance offers real-time reporting and analysis of your network performance with cross-domain correlations. Its proven petabyte scalability is well suited for the scale and speed of 5G networks.

EAA-Network Assurance is known for being highly reliable under the worst traffic and environmental fault conditions. Using alert reduction automation, service providers have reduced raw alerts by as much as 99%. And it scales well: A 125 million subscriber LTE network, 15 million objects monitored for a Tier-1 operator, and has worked through natural disasters when alerts increased to 4 times without failing over.

Key Features

• Multi-dimensional Performance management: Single pane of glass for all technologies and networks (Mobile, IP and virtualized) in a single solution, on-prem and in public cloud. With in-built AI/ML for capacity forecasts and trends.
• Predictive Fault management: Actionable alert reduction through auto ticketing and other reduction techniques. Predictive alerts find potential issues with equipment before it fails.

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EAA-Automation frees up resources by automating and orchestrating complex processes across multiple domains and functions. It reduces human error and increases employee productivity and improves efficiency in planning, optimization and other business teams.

While a third party Orchestrator provides the fulfilment & provisioning of customer orders for 5G network slice orchestration, MYCOM OSI’s EAA-Automation provides the cross-domain network visibility and automation capability needed to maintain and orchestrate carrier-grade service quality.

In the NOC/SOC environment, EAA-Automation can reduce MTTx by automating root-cause identification, reduce tickets volume by predictively automating issue resolution and by identifying ‘silent faults’ by correlating complex conditions that lead to performance issues. Field engineer call-outs can be reduced by pre-emptively resolving faults and improving accuracy of root-cause identification.

Key Features

• Closed-loop automation: Decreases human intervention for common troubleshooting tasks and the mean time to resolution for incidents. Makes service, resources and network configuration across devices more consistent.
• Onboarding and orchestration of 5G slices: After designing and assigning assurance policies, 5G network slice issues for resource allocations are identified and orchestrated, to maintain QoS and SLA guarantees.

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Designed and architected for complex disaggregated 5G networks that require large data processing and intelligent assurance, EAA-Network Analytics is based on use cases enabled by telco data lakes for operational agility and intelligent remediation. These include AI-based KPI anomaly detection for 5G radio network, root cause analysis based on ML-identified anomaly KPIs and alarms, and ad-hoc intelligent dashboarding.

By discovering data across network domains for capacity planning of new technologies, over-dimensioning can be prevented through reliable capacity forecast. What-if analysis predicts impact of unexpected traffic and allows service providers to react faster to unexpected traffic growth.

Key Features

• Capacity Prediction: AI/ML based forecasts provide insights into network profiles (cell, site, etc.) for accurate network dimensioning, addressing tactical (near term) and strategic (long term) infrastructure needs.
• Operational Accuracy: AI/ML based predictions drive optimizations for operational activities by anticipating and planning for operational issues, thus minimizing operational risks.

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