coRAN LABS
rAPP — Slice Management

RAN Slice Assurance

Automated Slice Optimization and SLA Assurance with Multi-KPI Decision Intelligence for 5G Networks

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Solution Overview

Closed-Loop Slice Optimization & SLA Assurance

Maintaining guaranteed performance across multiple network slices — each with distinct service requirements — demands continuous, automated resource management that adapts as traffic conditions evolve. RAN Slice Assurance rApp delivers closed-loop slice optimization for 5G RAN environments. It continuously evaluates slice-level KPIs through a multi-KPI decision engine, classifies slice health into priority-ordered states, and automatically adjusts radio resource allocation with adaptive thresholds and built-in stability guards — ensuring sustained SLA compliance across all active slices with complete decision transparency.

Multi-KPI
Decision Engine
Closed-Loop
Optimization
Adaptive
Thresholds
3GPP/O-RAN
Compliant

Intelligent Decision Making

Every resource adjustment is driven by multi-KPI evaluation and confidence-based signals — ensuring precise and stable corrective actions.

Independent Slice Management

Each slice is evaluated and optimized independently with adaptive thresholds that adjust based on real-time load conditions.

Complete Decision Transparency

Full visibility into every automated decision — from raw metrics through state classification to final action — through an interactive operations dashboard.

"Automated slice optimization. Consistent SLA compliance. Every slice, every metric — managed with intelligence and full transparency."

— RAN Slice Assurance Platform

Key Features

Comprehensive network slice management capabilities

Closed-Loop Resource Optimization

Identifies slice performance degradation and autonomously applies corrective resource allocation — delivering continuous optimization without manual intervention.

Multi-KPI Decision Engine

Assesses multiple performance indicators across radio and transport layers, determines slice health through priority-ordered classification, and executes proportional corrective actions.

Confidence-Based Adaptive Evaluation

Every decision is validated against sufficient multi-KPI evidence, with thresholds that scale dynamically to real-time load and performance conditions per slice.

Stability and Oscillation Control

Integrated stability mechanisms maintain consistent resource allocation by preventing policy reversals and ensuring smooth, predictable optimization behavior.

Decision Pipeline Visibility

Complete visibility into every decision stage — from zone classification and state determination through signal evaluation to final corrective action.

Standards Compliant

Built on 3GPP and O-RAN standards with R1 service interfaces for seamless multi-vendor integration.

U-NMS Integration

Deployed within the Unified Network Management System, accessible alongside other rApps through a single portal.

Network Slice Use Cases

Three dimensions of network slice intelligence

Enhanced Mobile Broadband (eMBB)

High-throughput slices for video streaming, AR/VR, and consumer broadband services

100+ Mbps < 50ms Best Effort
Ultra-Reliable Low Latency (URLLC)

Mission-critical slices for industrial automation, autonomous vehicles, remote surgery

< 1ms 99.999% < 100μs
Massive IoT (mMTC)

High-density slices for smart cities, agriculture, logistics tracking

1M+ / km² Power Opt. Coverage

Automated Slice Optimization.
Consistent SLA Compliance.

Ensure every network slice meets its performance commitments — through intelligent, closed-loop resource management that operates continuously and transparently.