KQI

Key Quality Indicators

Management
Introduced in Rel-8
Key Quality Indicators (KQI) are standardized metrics used to measure and manage the end-to-end quality of service (QoS) and quality of experience (QoE) for telecommunications services. They provide a framework for operators to assess performance from a user perspective, enabling service assurance, troubleshooting, and network optimization.

Description

Key Quality Indicators (KQI) are a fundamental component of the 3GPP management framework, specifically within the domain of service and resource assurance. They are defined as quantifiable measures that reflect the quality of a specific service as perceived by the end-user. Unlike lower-layer performance counters (KPI - Key Performance Indicators), which monitor network element health (e.g., cell availability, throughput), KQIs are derived metrics that translate technical network performance into service-level quality. They are typically calculated by aggregating and correlating multiple KPIs and other data sources, often using defined formulas or models specified in 3GPP standards.

The architecture for KQI management involves several functional entities. The Network Resource Model (NRM) provides the managed object definitions. The Management Data Analytics Function (MDAF) or other analytics engines can be employed to process raw measurement data (PM - Performance Measurement) and KPIs to compute the KQIs. These KQIs are then exposed to network management systems (NMS/OSS) and service management systems for visualization, reporting, and triggering corrective actions. The definition of a KQI includes its name, a precise formula for calculation, the measurement method, the collection period, and the associated thresholds that define acceptable, degraded, and critical service states.

KQIs are defined per service type. For example, for a Voice over LTE (VoLTE) service, critical KQIs include Call Setup Success Rate, Call Drop Rate, and Mean Opinion Score (MOS) for speech quality. For a streaming video service, KQIs would include Video Playback Success Rate, Initial Buffering Time, and Re-buffering Ratio. By monitoring these service-centric metrics, operators can proactively identify quality degradation, perform root cause analysis by drilling down to the contributing KPIs, and ensure that Service Level Agreements (SLAs) are being met. The standardized nature of KQIs in 3GPP allows for consistent benchmarking and comparison across different network deployments and operators.

Purpose & Motivation

The purpose of Key Quality Indicators is to bridge the gap between pure network-centric performance monitoring and the actual quality experienced by the customer. Traditional network management focused heavily on KPIs like node availability and link utilization, which, while important, did not directly correlate to whether a user could successfully make a high-quality voice call or stream a video without interruption. This disconnect made service assurance and customer satisfaction management challenging.

KQIs were introduced to provide a service-oriented view of network performance. They solve the problem of translating technical metrics into business-relevant quality measures. This allows operators to shift from reactive, network-focused troubleshooting to proactive, service-focused assurance. By defining what 'good quality' means for each service in a quantifiable way, operators can set clear targets, monitor compliance, and prioritize network investments and optimizations where they have the most impact on user perception.

Historically, before widespread KQI standardization, operators developed proprietary service quality metrics, leading to fragmentation and making cross-vendor or cross-operator comparisons difficult. 3GPP's standardization of KQI definitions, calculation methodologies, and management interfaces (e.g., in TS 32.450 series) created a common language for service quality. This was particularly motivated by the evolution to all-IP networks and rich multimedia services (IMS), where the relationship between network conditions and perceived quality became more complex and critical to commercial success.

Key Features

  • Service-Centric Measurement: Metrics are defined based on user-perceivable service attributes (e.g., call setup time, video stall rate).
  • Derived from KPIs: Calculated by processing and correlating multiple underlying network and element Key Performance Indicators (KPIs).
  • Standardized Definitions: 3GPP provides common formulas, collection methods, and thresholds for consistent implementation.
  • Hierarchical Structure: KQIs can be aggregated from lower-level service KQIs to higher-level composite service or customer KQIs.
  • Threshold-Based Management: Supports configurable thresholds to trigger alarms, reports, and automated corrective actions.
  • Integration with Management Systems: Defined interfaces for reporting KQIs to Network Management (NM) and Element Management (EM) systems for service assurance.

Evolution Across Releases

Rel-8 Initial

Introduced the foundational concept of KQIs within the 3GPP management architecture, primarily in the context of IMS service management. Defined initial KQI concepts and their relationship to KPIs and Service Level Agreements (SLAs) in specifications like TS 32.450. Established the principle of measuring end-to-end service quality beyond individual network element performance.

Enhanced KQI definitions and management for Packet Switched Streaming Service (PSS) and Multimedia Broadcast/Multicast Service (MBMS). Introduced more detailed KQI calculation methodologies and began aligning them with specific user experience parameters for emerging multimedia services.

Extended KQI framework to support management of LTE and SAE (System Architecture Evolution) services. Further refined the relationship between KQIs, QoS parameters, and policy control, strengthening the link between service quality measurement and network policy enforcement.

Introduced enhancements for fixed-mobile convergence and HetNet (Heterogeneous Network) scenarios. Defined KQIs suitable for managing service quality across complex network topologies involving Wi-Fi offload and small cells.

Began work on KQIs for Machine-Type Communication (MTC) services, recognizing the different quality requirements for IoT applications compared to human-centric services. Enhanced support for self-organizing network (SON) use cases using KQI data.

Further evolved KQIs for LTE-Advanced Pro features like Carrier Aggregation and Licensed Assisted Access (LAA). Strengthened the integration of KQI analytics with the Management Data Analytics Service (MDAS) concept.

Expanded KQI definitions to cover critical communication services, such as Mission Critical Push-To-Talk (MCPTT), where latency and reliability KQIs are paramount. Enhanced frameworks for QoE measurement and reporting.

Introduced KQIs for 5G services as part of the first 5G standard release. Defined new KQIs addressing 5G key performance aspects like ultra-reliable low-latency communication (URLLC) and enhanced mobile broadband (eMBB) scenarios.

Enhanced 5G KQIs for vertical industries (e.g., factory automation, transport). Introduced KQIs for network slicing, enabling per-slice service quality assurance. Formalized integration with data analytics and AI/ML for predictive KQI management.

Refined KQIs for integrated access and backhaul (IAB), non-terrestrial networks (NTN), and expanded IoT verticals. Enhanced automation of KQI-based closed-loop operations for network and service management.

Further evolution of AI/ML-native KQI management, including generative AI applications for root cause analysis. Enhanced KQIs for advanced 5G-Advanced features and immersive services like extended reality (XR).

Continued refinement and expansion of the KQI framework to support emerging 5G-Advanced and early 6G study scenarios, focusing on predictive quality assurance and sustainability metrics.

Defining Specifications

SpecificationTitle
TS 23.435 3GPP TS 23.435
TS 23.700 3GPP TS 23.700
TS 24.549 3GPP TS 24.549
TS 26.909 3GPP TS 26.909
TS 28.802 3GPP TS 28.802
TS 28.863 3GPP TS 28.863
TS 32.410 3GPP TR 32.410
TS 32.450 3GPP TR 32.450
TS 32.451 3GPP TR 32.451