RAN Platform
Design, ingest, detect, optimise
Create, manage, and optimise multi-vendor multi-technology RAN networks with ARANO's agentic platform. From network planning to autonomous optimisation.
01
Network Design
Network planning from blank map to fully parameterised site and cell design, greenfield or brownfield, single or multi-technology, driven by real population density data.
Cell Planning
Automated site selection and cell placement from CSV imports or drawn geospatial polygons.
RF Configuration
Antenna tilt, azimuth, power, and beamwidth driven by population density.
Neighbor Planning
Automatic neighbor relation generation based on distance, overlap, and handover analysis.
PCI Assignment
Collision-free PCI plans using collision, confusion, mod-3, and mod-30 conflict detection.
Capacity Dimensioning
PRB and throughput modelling based on traffic forecasts and frequency layer configuration.
Multi-Band Design
Coordinated design across frequency layers: coverage, capacity, and supplementary bands.
02
Data Architecture
A multi-vendor, multi-source data ingestion pipeline that normalises PM, CM, FM, and trace data into a unified data layer. The platform can also generate synthetic network data with controlled faults for safe testing.
PM Ingestion
PM XML parsing with automatic counter mapping to 3GPP TS 32.425 definitions.
CM Ingestion
RAML/3GPP CM XML parsing. Full managed object tree with parameter versioning.
Trace Ingestion
Binary trace parsing for UE-level measurements, geolocated using ML models.
Vendor Normalisation
Maps vendor-specific parameters to a unified schema for downstream processing.
03
PM Insights
Near real-time and historical performance analytics across all cells, sectors, and frequency layers. Configurable KPI formulas, trend analysis, and automated anomaly detection.
KPI Engine
Configurable formulas aligned to operator standards. Coverage, capacity, mobility, accessibility, and retainability domains.
Trend Analysis
Multi-resolution time-series at 1-minute, 15-minute, hourly, and daily granularity. Detect degradation before outages.
Distribution Analysis
CQI, TA, RSRP, RSRQ distributions per cell. Identify skewed distributions indicating RF or capacity issues.
Counter Explorer
Browse and visualise raw PM counters with filtering by cell, site, band, and time range.
Anomaly Detection
Discover anomalous sites and cells across KPIs via time-series and KPI-encoded clustering.
Cross-Cell Comparison
Compare KPI performance across cells, sites, or clusters to identify outliers.
04
CM Insights
Configuration management analytics that surface misconfigurations, inconsistencies, and optimisation opportunities across your entire RAN parameter set.
Configuration Similarity
UMAP-based clustering to identify cells configured differently from their peers without justification.
Parameter Auditing
Compare live CM parameters against golden baselines or vendor best-practice templates.
Change Tracking
Full version history with timestamp, source, and before/after values for audit trails.
Cross-Domain Correlation
Correlate CM parameter states with PM KPI outcomes. Surface the link when configuration change causes degradation.
05
Geospatial Insights & Detectors
Purpose-built issue detectors continuously scan your network, powered by geospatial analysis and geohash-indexed coverage grids.
Low Coverage
Identify clusters of weak coverage grids.
Interference
Geohash clustering overlap analysis.
Overshooting
Downtilt modelling and coverage boundary analysis.
Undershooting
Uptilt modelling for restricted coverage detection.
Layer Management
Balance traffic across layers to meet strategy.
PCI Planner
Collision-free PCI plans from handover relations.
CA Imbalance
Coverage vs capacity band traffic imbalance.
Crossed Feeders
Multi-level antenna swap detection from KPI patterns.
06
Agentic Layer
A hierarchical AI agent architecture. Domain-specific sub-agents coordinated through orchestration and management layers. Built on MCP for data access, A2A for inter-agent coordination, and a swappable model provider layer.
Manager Agent
Resolves conflicts between recommendations, enforces operator constraints, and keeps every optimisation in sync across the network.
Orchestrator Agent
Drives the assess-to-fix cycle, routing tasks to domain agents via A2A protocol and synthesising their findings.
Assessor Agent
The quality gate. Scores every proposed change across seven weighted dimensions: coverage, interference, capacity, mobility, accessibility, retainability, and CM configuration.
Fixer Agent
Applies every approved change to the Digital Twin, validates KPI impact, and only then clears it for live deployment.
Domain Sub-Agents
Six specialised agents covering coverage & interference, infrastructure, planning, PM performance, PM capacity & mobility, and CM insights.
Digital Twin Integration
Mandatory checkpoint for every change. Simulates impact against your live network state. Automatically blocks anything that degrades KPIs.
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