NetReflex RAN suite


The Guavus NetReflex RAN suite consists of three modules that address your network data management, operations and service assurance needs.Reduces IT OPEX by processing streaming network data (EMS/NMS) with catalog data at the edge.


Key Benefits

  1. Solution for Next Gen OSS
  2. Reliably accurate data through data sanitization:
  3. Data correlation and near-real time stitching
  4. Lower OPEX with mediation and overhead reduction
  5. Future-proof architecture; based on a virtualized infrastructure

Key Benefits for Operations

  1. Reduce MTTR/MTTU network-related problems by isolating network specific (eNB/MME) versus subscriber-specific (device) issues
  2. Identify key performance influencers and visualize degree of confidence
  3. Define Capex spend  by geoidentifying traffic hotspots and capacity bottlenecks
  4. Reduce Capex spend call ladder analytics without the use of probe data set
  5. Improve cross-functional workflow alignment via integrated fault management and services management
  6. Reduce Opex spend (drive test reduction) by leveraging geolocation based trace feeds for RF analytics
  7. Improve visibility to actual RF coverage
  8. Expedite resolution to commonly-occurring RF operations issues such as poor throughput, increased latency and access failures via machine learning-based algorithms for RCA
  9. Integrate application/services view (Layer 6-7) with IMSI (catalog data) and RF characteristics (layer 1) on a call by call basis
  10. Create specific reports for differentiated SLA’s
  11. Improve understanding of RF Path issues such as RF Imbalances

Out of the Box Analytics

  1. Network Capacity Analytics:  Identify networkcapacity bottlenecks using Performance Management data
  2. Call release analysis: Stitch together traces of eNBs and MMEs to understand the reason for call release
  3. Personalized customer care: Deliver targeted, personalized service to the caller based on near-real time network, service, customer, location, QoE data
  4. Anomaly detection: Automatically identify anomalous patterns that may signal faults in the network
  5. Fault management : Anticipate network faults, identify root cause based on network traffic patterns, proactively alert network operators and perform recovery actions
  6. Congestion management: Throttle data flow based on customer value and activity
  7. Dynamic customer offload management: Intelligently offload less-valued customers to lower cost networks
  8. Proactive reparation of network issues: Detect and repair network issues from network data before customers complain
  9. Network resource optimization: Provide customers with the optimal medium of connections