Cloud-ready 5G Architectures Demand Automation in Operations and Optimization

5G success relies heavily on the performance and interoperability of the radio access network (RAN) and technology-enabled subscriber handsets. As RAN architecture evolves to support 5G capacity and latency requirements, new and higher bandwidth frequencies require the deployment of more and more small cells–exceeding traditional LTE cells fivefold.

Address Traditional and New Challenges with Specialized and Problem-specific Artificial Intelligence RAN Datasets

Traditional RAN Problems Intensify with 5G:
  • Coverage
  • RF Overshooting
  • UE Capability
  • Neighbor Cell Relations,
  • Antenna Cabling Errors
New Problems Surface with New Standards:
  • Carrier Aggregation
  • Ultra Low Latency
  • Distributed RAN Components.

 

Introducing Omnis RAN Analytics

With manual tuning of capacity, interference, and coverage objectives increasingly cost prohibitive, new, comprehensive workflows that can analyze information quickly and confidently guide next actions are needed. Omnis RAN Analytics meets this objective to enable informed 5G RAN evolution.

Offering carrier service providers a customizable and holistic approach for network growth, business transformation and profitability, Omnis RAN Analytics features distinct modules designed to address specific 5G RAN deployment challenges.

Solution Highlights

Support for Third Party Systems

Highly scalable standalone offerings designed to support existing automation systems and feed third party data lakes.

Compatible with NETSCOUT Tools

Omnis RAN Analytics provides seamless integration and drill-through capabilities for advanced troubleshooting of RAN issues.

Greater Accuracy for Key Initiatives

Improve geolocation accuracy for superior service quality and monetization studies with correlated high-definition data and error-detection auditors.

Features

  • Carrier Aggregation Performance Analytics

    Accelerate the return on spectrum investments with an optimized carrier aggregation approach.

  • Neighbor Cell Relation Performance Analytics

    Ensure a quality 5G service experience for subscribers with nationwide operation detection, tracking and analysis of 4G-5G anchor neighbor and 5G-5G neighbor relations and performance.

  • NG RAN Session Record Export

    Leverage comprehensive subscriber-based quality metrics to assess network quality and develop new revenue streams.

  • Subscriber Analytics

    Improve understanding of how the RAN impacts user plane quality with network-wide visibility to radio conditions, and their effect on core network services, per subscriber and cell.

Carrier Aggregation Performance Analytics
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Highly scalable solution provides combination visibility to handset and network performance for use with AI/ML SON and Open-RAN automation systems.

Carrier Aggregation Performance Analytics

Accelerate the return on spectrum investments with an optimized carrier aggregation approach.

Neighbor Cell Relation Performance Analytics
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Categorize and act on missing, poor, and overprovisioned neighbor relations.

Neighbor Cell Relation Performance Analytics

Ensure a quality 5G service experience for subscribers with nationwide operation detection, tracking and analysis of 4G-5G anchor neighbor and 5G-5G neighbor relations and performance.

NG RAN Session Record Export
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Correlation of handset (UE) performance to geographical area and subscriber IMSI improves insights with near-real time signaling in support of GeoMarketing and Data Monetization efforts.

NG RAN Session Record Export

Leverage comprehensive subscriber-based quality metrics to assess network quality and develop new revenue streams.

Subscriber Analytics
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Triage user plane RAN issues with drill-through to TrueCall for resolution workflows to get visibility to cells associated with VoLTE Intra-eNodeB handovers, VoNR and LTE/5G video session QoS analysis, and 5G cells in Non-Standalone networks.

Subscriber Analytics

Improve understanding of how the RAN impacts user plane quality with network-wide visibility to radio conditions, and their effect on core network services, per subscriber and cell.