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      106 Products found

      VIAVI Site Spacing rApp

      The Site Spacing App analyses network configuration data to calculate average distances between sites using the Haversine formula. It supports two modes: nearest-site distance per site, or average distance to the six nearest sites, with a switch to choose the calculation method.

      VIAVI Smart Launch rApp

      Smart Launch is an rApp that automates the complete onboarding lifecycle of rApps on the EIC Platform. It orchestrates registration, enabling, instantiation, and verification steps through EIC APIs, eliminating manual effort and ensuring fast, consistent, and reliable rApp deployment.

      Wipro Automatic Congestion Control rApp

      This rApp proactively forecasts RAN user plane congestion states, enabling to preemptively load-balance or scale resources before network performance degrades.

      Wipro Cross Feeder Detection rApp

      The Cross Feeder Detection rApp uses ML to predict whether a cell site’s sectors are cross-fed (swapped feeders). This proactive detection allows to identify misconfigured sectors and trigger timely corrections for improved network coverage.

      Wipro PCI Physical Cell Identity rApp

      PCI Anomaly Prediction and Self Correction rApp, an automated solution for optimizing cellular network performance. The rApp primary function is the detection and classification of critical Physical Cell Identity (PCI) conflicts specifically Collision and Confusion and confused neighbours within a large-scale...

      Wipro RSI Root Sequence Index rApp

      The RSI and Preamble Collision Prediction and Visualization System is designed to proactively manage and optimize the Random-Access Channel (RACH) configuration in a cellular network (likely LTE/5G). The system addresses the critical problem of RACH performance degradation caused by Root Sequence Index...

      Zinkworks Network Positioning Prediction rApp

      Zinkworks | Automation and AI Foundation Zinkworks Network Positioning Prediction (NPP) rApp utilises an ML-based framework to forecast user movements and distributions around network cells. Employing continuous training with MP-LSTM, it processes positioning data from various network users and devices...

      Zinkworks Network Traffic Prediction rApp

      Zinkworks Network Traffic Prediction (NTP) rApp is an ML graph-based application for predicting network traffic. It adapts to changing conditions in the RAN by considering spatial interdependencies and non-linear temporal dynamics features, providing accurate predictions for entire cellular network...

      Zinkworks Power Management Controller rApp

      Zinkworks | Network Optimization   Power Management Controller (PMC), built on Zinkworks Network Traffic Prediction (NTP) and Network Positioning Prediction (NPP) rApps, dynamically adjusts resources based on traffic load and user mobility. The DCAD algorithm activates or deactivates carriers to save...

      Zinkworks QoS Prediction rApp

      Zinkworks | Network Optimization Zinkworks Quality of Service Prediction (QoS-P) is an rApp for 5G networks analysing and predicting KPIs, integrating with orchestration apps to enhance 5G technology through adaptive profiling and streamlined operations.