NGMI

Next Generation Mobile Intelligence

Management
Introduced in Rel-13
NGMI is a 3GPP framework for enhanced mobile network intelligence and analytics, introduced in Release 13. It provides standardized mechanisms for collecting, processing, and utilizing network data to optimize performance, enable new services, and support automation. This framework is crucial for evolving networks towards greater self-optimization and data-driven operations.

Description

Next Generation Mobile Intelligence (NGMI) is a comprehensive framework defined within 3GPP specifications 33.179 and 33.180, focusing on the architecture and security aspects of intelligent network data collection and analytics. It establishes standardized interfaces and procedures for extracting valuable insights from network elements, user equipment, and applications. The core architecture involves Data Collection Entities (DCEs) that gather raw data, Analytics and Reporting Functions (ARFs) that process this data, and Exposure Functions that securely provide the resulting intelligence to authorized consumers, such as network operators, third-party service providers, or the network's own management systems.

NGMI works by defining a structured data model and a set of service-based interfaces (akin to those used in the 5G Core) for requesting, delivering, and subscribing to analytics reports. Key data sources include performance measurements, mobility patterns, radio conditions, and service usage statistics. The analytics functions apply algorithms—which can be standardized or vendor-specific—to this data to produce insights like network load predictions, anomaly detection, user experience scoring, and service quality assurance. Security is a foundational pillar, with mechanisms for authentication, authorization, and data integrity to ensure that sensitive network and user data is protected throughout the collection and exposure process.

The framework's role is to decouple intelligence generation from specific network functions, creating a centralized, reusable capability for the entire network. It enables use cases such as predictive load balancing, automated fault resolution, enhanced quality of experience (QoE) management, and support for network slicing operations. By providing a common 'intelligence layer,' NGMI reduces integration complexity for new analytics applications and facilitates a more agile, software-driven approach to network management and optimization, which is essential for the dynamic demands of 5G and beyond.

Purpose & Motivation

NGMI was created to address the growing complexity of mobile networks and the explosion of data generated by them. Pre-5G networks often relied on proprietary, siloed solutions for network analytics, making it difficult to gain a holistic view, integrate third-party intelligence, or automate complex operations. The limitations of these ad-hoc approaches became a bottleneck for implementing advanced concepts like self-organizing networks (SON) at scale and for enabling new data-driven services.

The primary motivation was to standardize the interfaces and data models for network intelligence, thereby fostering an ecosystem of analytics applications and enabling efficient, multi-vendor interoperability. This standardization solves the problem of vendor lock-in for network analytics and allows operators to leverage best-in-class solutions. Furthermore, it provides the foundational data infrastructure needed to realize the vision of fully automated, zero-touch network and service management, which is a key objective for future-proof networks.

Historically, intelligence was embedded within individual network functions. NGMI's creation, concurrent with the early 5G standardization, reflects a shift towards a more horizontal, service-based architecture where intelligence is a shared network capability. It addresses the need for networks to not just be connectivity pipes but intelligent platforms that can adapt in real-time to user behavior, application demands, and operational conditions.

Key Features

  • Standardized service-based interfaces for analytics request and delivery
  • Comprehensive data collection framework from network functions and user equipment
  • Support for both real-time and historical analytics reporting
  • Integrated security mechanisms for authentication, authorization, and data protection
  • Flexible analytics model supporting both standardized and vendor-specific algorithms
  • Enables exposure of network intelligence to authorized internal and external consumers

Evolution Across Releases

Rel-13 Initial

Introduced the initial NGMI framework architecture, defining the core functional entities (Data Collection, Analytics & Reporting, Exposure) and their interactions. Established the foundational data models and the service-based interfaces (e.g., Nmi_DataManagement, Nmi_AnalyticsExposure) for requesting network intelligence. Focused on defining the security architecture and procedures to protect the analytics data lifecycle.

Defining Specifications

SpecificationTitle
TS 33.179 3GPP TR 33.179
TS 33.180 3GPP TR 33.180