LPHAP

Low Power and High Accuracy Positioning

Services →
Introduced in Rel-18

LPHAP is a 3GPP Release 18 feature that enables energy-efficient, precise location services for IoT and consumer devices by optimizing procedures to minimize power consumption while achieving high-accuracy fixes.

Category
Services
Introduced
Rel-18
Where
Core Network › 5G Core
Specifications
6 specs
LPHAP Description Purpose Related Classification Detected Changes Specifications

Description

Low Power and High Accuracy Positioning (LPHAP) is a service enabler defined in 3GPP Release 18 that addresses the dual requirements of precise location determination and extended battery life for user equipment (UE), particularly Internet of Things (IoT) sensors, wearables, and smartphones. Architecturally, LPHAP involves enhancements across the UE, the Radio Access Network (RAN), and the 5G Core Network (5GC), specifically within the Location Management Function (LMF) and Access and Mobility Management Function (AMF). The core principle is to optimize the positioning signaling flow and measurement procedures to reduce active radio time and processing overhead for the UE, thereby conserving power, while still leveraging high-accuracy positioning methods such as Assisted Global Navigation Satellite System (A-GNSS), Observed Time Difference of Arrival (OTDOA), and multi-cell Round-Trip Time (RTT).

How LPHAP works involves several key mechanisms. First, it introduces more efficient positioning session management, allowing the network to configure longer periodicities for location reporting or to trigger measurements only upon specific events, reducing frequent signaling. Second, it enhances UE assistance data delivery; the LMF can provide richer, pre-computed assistance data (e.g., satellite ephemeris, cell identities) in a single transmission, enabling the UE to perform faster satellite acquisitions or cellular measurements with less computation. Third, LPHAP supports sidelink-assisted positioning, where a UE can obtain location-related measurements from nearby devices via PC5 interface, potentially reducing its own GNSS or cellular radio usage. The UE may also enter low-power states (like RRC_IDLE or RRC_INACTIVE) more quickly after positioning sessions, and the network can schedule positioning reference signals (PRS) in a power-efficient manner, such as bundling them in fewer symbols or using wider subcarrier spacing.

Key components include the LMF, which orchestrates the LPHAP procedures and selects appropriate positioning methods based on the requested accuracy and power saving requirements; the UE, which implements enhanced measurement capabilities and power-saving states; and the gNB, which transmits optimized PRS and supports efficient UE context management. LPHAP's role is to integrate positioning as a sustainable service within 5G-Advanced networks, enabling new commercial and safety-critical applications without compromising device battery longevity. It is a critical enabler for massive IoT deployments where devices may need to report their location periodically for years on a single battery charge, while also meeting the stringent accuracy demands of applications like drone navigation, autonomous vehicles, and industrial automation.

Purpose & Motivation

LPHAP was created to resolve the inherent conflict between achieving high-precision location services and maintaining low power consumption in mobile and IoT devices. Prior to Release 18, 3GPP positioning features like LTE Positioning Protocol (LPP) and NR positioning focused primarily on accuracy and latency, often at the expense of UE energy efficiency. Frequent positioning sessions, continuous measurement reporting, and complex computation for techniques like A-GNSS could rapidly drain batteries, making them impractical for always-on tracking devices or consumer wearables. LPHAP addresses this by optimizing the entire positioning workflow from a power perspective.

The driving problems include the growing demand for accurate location in IoT asset tracking, wearable health monitors, and emergency services (e.g., E911), where devices are often battery-constrained. Existing solutions either sacrificed accuracy for power savings or required frequent recharging, limiting deployment scalability. LPHAP is motivated by the need to support 5G verticals like smart cities, logistics, and augmented reality, which require both precise positioning and long device lifetimes. It also aligns with broader 3GPP goals of network energy efficiency and support for reduced capability (RedCap) devices.

Historically, positioning power consumption was addressed in a fragmented manner, with some proprietary solutions or application-layer workarounds. LPHAP standardizes these optimizations within the 3GPP framework, ensuring interoperability across vendors and networks. By introducing network-controlled power saving modes for positioning and enhancing assistance data delivery, it enables devices to achieve centimeter- to meter-level accuracy while operating for years on batteries, unlocking new commercial use cases and improving user experience for location-based services in 5G-Advanced and beyond.

Classification

Part ofA-GNSS
Related approachesOTDOA

Detected Changes Across Releases

from 3GPP Change Requests

Specific changes extracted from the „Change history“ tables of 3GPP specifications (122 CRs across 5 releases). Complements the general historical overview above with the evidence-based evolution of this function.

Rel-15 3 changes

In Release 15, the LPHAP function introduced the capability to include altitude information within the Provide Positioning Information procedure and defined the use of the N1 and N2 message transport for positioning-related signaling. Additionally, it specified corrections to the response codes used when a positioning procedure fails.

  • Altitude in Provide Positioning Information TS 29.518CR107
  • N1 N2 Message for Positioning TS 29.518CR118
  • Correction to Reponse Code for Positioning Failed TS 29.518CR143
Rel-16 10 changes

In Release 16, the LPHAP function introduced new capabilities including enhanced support for high accuracy positioning and low power periodic and triggered location reporting. It also added clarifications and corrections for UE-assisted and UE-based positioning procedures, and expanded support for additional navigation satellite systems. Furthermore, the release defined architectural enhancements for ranging-based services and sidelink positioning, enabling new positioning methods.

  • Network Specific Positioning Methods TS 29.572CR0059
  • Positioning Methods Support TS 29.572CR0060
  • Correction on UE Assisted and UE Based Positioning Procedure TS 23.273CR0001
  • Clarification on positioning access selection in the 5GC-MO-LR procedure TS 23.273CR0008
  • Correction and Improvement of Low Power Periodic and Triggered Location TS 23.273CR0011
  • Correction of Notification or Verification only for UE Positioning TS 29.515CR0015

+ 4 more changes

Rel-17 13 changes

In Release 17, key enhancements for LPHAP included the standardized storage and transfer of UE positioning capabilities, even in failed cases, to improve service reliability. The release also introduced new definitions for 5G positioning areas and added support for indicating a network-assisted positioning method. Furthermore, it defined the concept of RAN node level location accuracy as part of the system's positioning architecture.

  • Add definition and usage for 5G positioning area and 5G enhanced positioning area TS 23.273CR0166
  • UE positioning capability storage TS 23.273CR0176
  • Add UE Positioning Capabilities TS 29.518CR0580
  • Add UE Positioning Capabilities TS 29.572CR0105
  • Store UE positioning capability in failed case TS 23.273CR0200
  • Removal of Editor's Note concerning storage of UE Positioning Capabilities TS 23.273CR0201

+ 7 more changes

Rel-18 61 changes

In Release 18, the new LPHAP (Low Power and High Accuracy Positioning) function introduced support for positioning over the user plane connection between the UE and LMF, enabling more flexible and efficient location procedures. It also added support for Ranging and Sidelink Positioning, integrating these new methods into the LCS architecture, and introduced enhancements for UE power saving, such as triggered location procedures. Furthermore, the release formalized support for user-unaware positioning and introduced NWDAF-assisted positioning to aid the LMF in method determination.

  • Support of User Plane Positioning TS 23.273CR0246
  • Support of UE Positioning without UE/User Awareness TS 23.273CR0251
  • PRU verification by AMF during PRU positioning TS 23.273CR0265
  • Enhance the Triggered Location for UE power saving purpose TS 23.273CR0271
  • Support of User Unaware Positioning TS 23.273CR0276
  • Introduce new feature: support of low power and high accuracy positioning TS 23.273CR0283

+ 55 more changes

Rel-19 35 changes

In Release 19, the LPHAP function introduced new support for LMF-based AI/ML Positioning, enabling the use of trained Machine Learning models at the Location Management Function for position estimation. This release specified enhancements for the LMF to collect data and request ML models, including clarifications for procedures involving the NG-RAN and performance monitoring. It also defined the necessary checks for user consent at the UDM before collecting UE-related data for model training and monitoring.

  • 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
  • General Support for MWAB involved positioning TS 23.273CR0547
  • ML Model based UE positioning support TS 23.273CR0537
  • LMF enhancements for LMF-based AI/ML Positioning TS 23.273CR0574
  • KI#1 - Addressing Editors Note: Procedure for Data Collection for AI/ML based positioning from NG-RAN TS 23.273CR0597

+ 29 more changes

Explore further

Broader topics and technologies where LPHAP plays a role.

Defining Specifications

3GPP specifications that define or reference LPHAP, 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 29.503 vj50 UDM Service Based Interface Stage 3 Rel-19
TS 29.515 vj50 Ngmlc Service Based Interface Protocol Rel-19
TS 29.518 vj50 AMF Service Based Interface Protocol Rel-19
TS 29.572 vj50 Nlmf Service Based Interface Stage 3 Rel-19
TR 38.859 vi10 Technical Report Rel-18