LMF

Location Management Function

Core Network →
Introduced in Rel-15 Also in: Services, Radio Access Network, Security, User Equipment

LMF is the core network function in 5G that manages positioning procedures to determine a UE's location, calculates location estimates, and provides these services to authorized consumers.

Category
Core Network
Introduced
Rel-15
Where
Core Network › 5G Core
Also touches
4 segments
Specifications
30 specs
LMF Description Purpose Related Classification Detected Changes Specifications

Description

The Location Management Function (LMF) is a critical component of the 5G Core Network's location service architecture, defined as a Network Function (NF) within the Service-Based Architecture (SBA). It is the primary entity responsible for orchestrating all positioning-related activities to determine the geographical location of a User Equipment (UE). The LMF receives location service requests from other network functions, such as the Gateway Mobile Location Centre (GMLC) for external applications or the Access and Mobility Management Function (AMF) for network-initiated requests. Upon receiving a request, the LMF initiates a positioning session with the target UE and the Radio Access Network (RAN).

The LMF's operation involves several key steps. First, it selects the appropriate positioning method based on the requested Quality of Service (QoS), UE capabilities, and network conditions. Supported methods include LTE/5G NR downlink and uplink techniques like Observed Time Difference of Arrival (OTDOA), Uplink Time Difference of Arrival (UTDOA), Multi-Cell Round Trip Time (Multi-RTT), and Assisted Global Navigation Satellite System (A-GNSS). The LMF coordinates with the NG-RAN (Next Generation RAN) via the AMF using the NLs interface to instruct gNBs to perform necessary measurements (e.g., timing measurements for OTDOA) or to configure positioning reference signals. For UE-based methods, the LMF may provide assistance data (e.g., satellite ephemeris, base station almanac) to the UE to facilitate its own position calculation.

Architecturally, the LMF exposes service-based interfaces, primarily Nlmf_Location, to other NFs. It interacts with the AMF (Nlmf_Location service) to reach the UE and RAN, and with the GMLC (Ngl interface) for external location requests. The LMF also interfaces with the Unified Data Management (UDM) for subscriber data and policy retrieval. It performs the location calculation by processing measurement reports received from the RAN (e.g., gNB measurements) and/or the UE. The final location estimate, which can be in the form of geographical coordinates (latitude, longitude) with an uncertainty ellipse, is then returned to the requesting entity.

Beyond basic positioning, the LMF supports advanced features such as periodic and triggered location reporting, velocity estimation, and barometric sensor data fusion for vertical positioning. It also handles error cases, fallback procedures, and QoS negotiation. In a network slicing context, the LMF can be instantiated as part of a slice to provide dedicated location services for specific verticals (e.g., high-accuracy positioning for factory automation). Its design emphasizes scalability, low latency, and support for diverse use cases from mass-market consumer services to mission-critical industrial applications.

Purpose & Motivation

The LMF was introduced in 3GPP Release 15 as part of the new 5G System (5GS) to provide a unified, flexible, and enhanced location management capability. It addresses the limitations of previous generations (e.g., 4G E-SMLC) by being natively integrated into the 5G Service-Based Architecture, offering improved scalability, lower latency, and support for new radio technologies like 5G NR. The shift to a cloud-native, microservices-based design allows the LMF to be deployed dynamically to meet varying service demands.

Its creation was driven by the need for more accurate and reliable location services to support emerging 5G use cases. These include Vehicle-to-Everything (V2X) communication for autonomous driving, which requires cm-level accuracy; Industrial IoT for asset tracking and automation; and enhanced emergency services (e.g., Advanced Mobile Location) mandated by regulators. The LMF provides the core intelligence to coordinate multiple positioning sources and methods to meet these stringent requirements.

Furthermore, the LMF enables network operators to offer location as a service to third-party application providers in a standardized and secure manner. By centralizing positioning coordination, it reduces complexity in the RAN and UE, allows for optimized resource usage, and facilitates the introduction of new positioning technologies (like sidelink positioning) in future releases. It is a foundational element for realizing 5G's vision of pervasive, high-precision location awareness.

Architecture

In the Network Map

Classification

Part ofGMLC
Related approachesOTDOA

Release Timeline

Detected Changes Across Releases

from 3GPP Change Requests

Specific changes extracted from the „Change history“ tables of 3GPP specifications (106 CRs across 5 releases). Complements the general historical overview above with the evidence-based evolution of this function.

Rel-15 5 changes

In Release 15, the LMF was newly introduced as the core network function for managing UE positioning, including coordination with the NG-RAN and the UE. It supports new services and interfaces, such as the Nlmf interface from the AMF, and capabilities like user plane positioning connections, periodic or triggered location reporting, and AI/ML-based positioning using models at the LMF. The release also defined procedures for PRU association/disassociation and handling various location request types like 5GC-MT-LR.

  • LMF Services TS 23.501CR0372
  • Default Subscription for Notification to LMF TS 29.518CR0038
  • LMF Service Instance Id for N1N2MessageTransfer TS 29.518CR173
  • Signalling between an LMF and NG-RAN node/UE TS 38.305CR0001
  • LMF servers clause in OpenAPI TS 29.572CR0007
Rel-16 19 changes

In Release 16, the LMF was enhanced to support new service operations for commercial and deferred Mobile-Terminated Location Requests (5GC-MT-LR), including periodic or triggered event reporting for roaming UEs via the VGMLC and HGMLC. It also gained the capability to broadcast assistance data, manage PRU (Positioning Reference Unit) association and disassociation, and support user plane positioning connections between the UE and LMF. Furthermore, updates were made to LMF selection procedures and its interactions with the AMF and gNB, such as indicating the access type for LPP message transmission and providing spatial relation information per SRS resource to the gNB.

  • LMF identification for LMF change TS 29.518CR0263
  • AMF forwarding Location services messages beween UE and LMF TS 29.518CR0273
  • Indication of control plane CIoT 5GS optimization to an LMF TS 29.518CR0362
  • LMF service operations for a deferred 5GC-MT-LR TS 29.572CR0033
  • LMF service operations for a commercial 5GC-MT-LR TS 29.572CR0034
  • Addition of the LMF Broadcast Service Operations TS 29.572CR0042

+ 13 more changes

Rel-17 10 changes

In Release 17, the LMF was enhanced to support positioning via non-3GPP access networks and to coordinate scheduled location procedures with distinct preparation and execution phases. The release also introduced explicit support for LMF-based AI/ML positioning using trained models and defined procedures for the AMF to manage PRU (Positioning Reference Unit) association and dis-association with an LMF.

  • LMF Parameters Support for non-3GPP Access TS 29.572CR0109
  • Schedule location time for LMF TS 29.572CR0135
  • LMF Change Procedure TS 23.273CR0159
  • LMF Parameters Support for non-3GPP Access TS 23.273CR0174
  • Update LMF function and service operation TS 23.273CR0185
  • Satellite RAT Type in LMF selection TS 23.273CR0192

+ 4 more changes

Rel-18 37 changes

In Release 18, the LMF saw enhancements for improved positioning support, including the introduction of procedures for positioning over a direct user plane connection between the UE and LMF. It also gained new capabilities for Ranging and Sidelink Positioning, and the AMF's role was updated to support the selection of a local LMF and to notify the LMF of UE protocol capabilities.

  • Introduce new feature: local LMF and GMLC selection TS 23.273CR0254
  • NWDAF assisted LMF positioning method determination TS 23.273CR0306
  • Procedures of positioning over the user plane connection between UE and LMF TS 23.273CR0310
  • Updates to LMF selection to suport Ranging/Sidelink Positioning TS 23.273CR0318
  • Clarification of Missing LMF ID in AMF logic TS 23.273CR0373
  • LMF initiated User Plane Disconnection TS 23.273CR0383

+ 31 more changes

Rel-19 35 changes

In Release 19, the LMF was enhanced to natively support AI/ML-based positioning, including new capabilities for retrieving and utilizing trained ML models, often from an NWDAF, for position estimation. It also gained functionalities for collecting UE-related data and for performance monitoring of these AI/ML models, alongside procedures for ML model training. Furthermore, enhancements were made to support LMF relocation over a user plane connection by including routing information.

  • KI#1 - LMF enhancements for UE positioning using a ML model TS 23.273CR0532
  • Introduction of LMF enhancement for Direct AI/ML based Positioning TS 23.273CR0543
  • LMF enhancements for LMF-based AI/ML Positioning TS 23.273CR0574
  • Update on Data Collection by LMF procedure TS 23.273CR0584
  • Support AI/ML model performance monitoring by LMF TS 23.273CR0595
  • Include routing information for LMF relocation on new user plane connection TS 24.572CR0116

+ 29 more changes

Explore further

Broader topics and technologies where LMF plays a role.

Defining Specifications

3GPP specifications that define or reference LMF, with the latest known release. Sourced from the 3GPP document catalog — see methodology.

SpecificationTitleRelease
TS 23.273 vj50 5G Location Services Stage 2 Architecture Rel-19
TS 23.501 vk00 5G System Architecture Stage 2 Rel-20
TS 23.700 vk00 XR Services Application Enablement Layer Rel-20
TS 24.501 vj50 5G NAS Protocols Specification Rel-19
TS 24.571 vj20 Control Plane LCS Procedures Rel-19
TS 24.572 vj50 5G LCS User Plane Protocol Specification Rel-19
TS 24.890 vg00 5G NAS Protocol for 5GS Stage 3 Rel-16
TS 29.517 vj40 5G AF Event Exposure Service Stage 3 Rel-19
TS 29.518 vj50 AMF Service Based Interface Protocol Rel-19
TS 29.520 vj40 5G Network Data Analytics Services Stage 3 Rel-19
TS 29.552 vj40 5G Network Data Analytics Signalling Flows Rel-19
TS 29.572 vj50 Nlmf Service Based Interface Stage 3 Rel-19
TS 29.574 vj40 5G Data Collection Coordination Services Stage 3 Rel-19
TS 29.576 vj40 5G Messaging Framework Adaptor Services Stage 3 Rel-19
TS 29.591 vj40 5G NEF Southbound Services Stage 3 Rel-19
TS 33.127 vj50 Lawful Interception Architecture and Functions Rel-19
TS 33.533 vj00 Security for 5G Ranging & Sidelink Positioning Rel-19
TS 33.814 vg01 Security aspects of enhanced Location Services (eLCS) Rel-16
TR 33.893 vi01 Security and Privacy Aspects of Ranging and Sidelink Positioning Rel-18
TS 37.171 vj00 UE Positioning Performance Requirements Rel-19
TS 37.355 vj20 LTE Positioning Protocol (LPP) Rel-19
TS 38.171 vj10 5G A-GNSS UE Positioning Requirements Rel-19
TS 38.305 vj00 NG-RAN UE Positioning Stage 2 Rel-19
TS 38.355 vj00 Sidelink Positioning Protocol (SLPP) Rel-19
TS 38.413 vj10 NG Application Protocol (NGAP) Rel-19
TS 38.455 vj10 NR Positioning Protocol A (NRPPa) Rel-19
TS 38.473 vj10 5G F1 Application Protocol (F1AP) Rel-19
TS 38.843 vj00 Study on AI/ML for NR Air Interface Rel-19
TS 38.856 vg00 Study on local NR positioning in NG-RAN Rel-16
TR 38.857 vh00 Study on NR Positioning Enhancements Rel-17
Patrick Zandl

About the author: Patrick Zandl (b. 1974)

Telecommunications specialist, technology journalist (founder of the Mobil server), and developer who has been running since 2025 — the largest Czech-language resource on AI-assisted programming. Formerly Chief Wizard Architect at Prusa3D and head of development for Turris at CZ.NIC; currently a consultant and instructor on AI implementation in companies.