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88 Products found

Ericsson 4G Energy Optimizer rApp

The 4G Energy Optimizer rApp leverages the Cell Sleep Mode feature to intelligently model network cells based on real time traffic behavior. It dynamically optimizes CSM parameters, audits and updates configurations, and activates sleep modes, maximizing energy savings while continuously monitoring KPIs...

Ericsson 5G NSA Traffic Optimizer rApp

Ericsson 5G-Non-Standalone Traffic Optimizer rApp provides automatic traffic steering solution based on NR load for E-UTRA NR Dual Connectivity devices to balance network traffic load and improve user experience.

Ericsson 5G Throughput Drop Detection rApp

The 5G Throughput Drop rApp is an early warning solution that identifies potential issues before alarms are triggered. By analysing data trends of key performance counters, it alerts operational teams in advance, enabling timely action to resolve problems.

Ericsson AAS Cell Shaper rApp

Advanced Antenna System (AAS) optimization based on AI Reinforcement Learning techniques. Optimizing cell level digital tilt (vertical plane) and beamwidth (horizontal plane). Automatically adapts to the characteristics of each cell and the surrounding network leading to optimized radio environment and...

Ericsson Anomaly General Optimizer rApp

Cell-level parameters optimization based on rule-based optimization for the entire RAN with weekly cadence. Fully automatic incremental basic parameter optimization leading to faster resolution time and improved performance based on detailed root cause analysis from the Anomaly Root-cause Explainer...

Ericsson Anomaly Root-Cause Explainer rApp

The Anomaly Root-Cause Explainer automatically provides deeper insights into the root causes of the issues detected by Cell Anomaly Detector and Uplink Interference Detector. This rApp also provides a deeper analysis of the main contributors causing performance degradation in the analyzed cell. Leveraging...

Ericsson Automated Configuration Consistency rApp

Ericsson Automated Configuration Consistency (EACC) rApp enables users to uncover baseline configuration consistency errors. EACC can correct inconsistencies found in either open-loop or closed-loop mode and has the ability to rollback configuration changes if a KPI degradation is detected.

Ericsson Cell Anomaly Detector rApp

Cell Anomaly Detector is a deep learning rApp that automatically observes and groups possible performance anomalies a network can suffer. Main use cases: Automatic identification of different cell issue patterns. Apply deep learning techniques to the cell performance, configuration and alarms. Cell Anomaly...

Ericsson Energy Performance Orchestrator rApp

Monitors key KPIs and thresholds as defined by the operator in the node and surrounding clusters against degradation. Automatically halts any energy saving features in action in case degradation is detected.

Ericsson Performance Monitoring Enabler rApp

Ericsson Performance Monitoring Enabler rApp (PME) is a multi-technology application to detect performance degradation in network KPIs after configuration changes are applied to the network nodes

Ericsson RAN Energy Cockpit rApp

Ericsson RAN Energy Cockpit rApp monitors the energy performance of each radio unit and of the overall network. It improves energy efficiency of the radio network at scale by providing visualization and recommendations for the energy efficiency status and giving recommendations for faster...

Ericsson RAN Fault Prediction rApp

The RAN Fault Prediction rApp provides real‑time, AI/ML‑driven fault prediction by analysing PM, CM, and FM data streams. It proactively identifies potential fault areas and notifies operational teams with recommended preventive actions, enabling CSPs to resolve issues before service degradation...