EE

Energy Efficiency

Management →
Introduced in Rel-13 Also in: Services, Radio Access Network

EE is a 3GPP framework for measuring, reporting, and improving network energy consumption to reduce operational costs and environmental impact.

Category
Management
Introduced
Rel-13
Where
Management
Also touches
2 segments
Specifications
15 specs
EE Description Purpose Related Classification Detected Changes Specifications

Description

Energy Efficiency (EE) in 3GPP is a comprehensive framework encompassing methodologies, metrics, and requirements designed to evaluate and enhance the energy performance of mobile networks. It operates across multiple domains, including the Radio Access Network (RAN), core network, and end-user devices. The framework establishes standardized energy efficiency metrics (EEMs) and evaluation methodologies (EEMeth) that allow for consistent measurement and comparison of energy consumption under defined traffic load and deployment scenarios. These metrics are crucial for operators to benchmark performance, identify inefficiencies, and validate the energy-saving claims of equipment vendors.

The architecture of EE considerations is integrated into network planning, deployment, and operation. Key technical components include energy consumption models for network elements (e.g., base stations, core network functions), sleep mode strategies for radio equipment during low-traffic periods, and network energy optimization techniques. Specifications detail how to measure energy consumption for base station sites (including radio, processing, and cooling) and define network-level energy efficiency as the ratio of total data traffic carried to the total energy consumed by the network. The framework also covers the energy efficiency of User Equipment (UE), setting requirements for power consumption during various operational states.

EE's role extends into network management through the definition of Energy Saving Management (ESM) functions. These are part of the broader Network Management System (NMS) and Element Management System (EMS), enabling the activation and deactivation of energy-saving features based on policy and network conditions. The specifications provide detailed procedures for energy saving at the cell, sector, and carrier levels, often involving the dynamic shutdown of hardware components or entire carriers when capacity demand is low. This requires careful coordination to maintain service quality and coverage, making EE a critical aspect of modern Self-Organizing Network (SON) and automated network management operations.

Purpose & Motivation

The creation of the 3GPP Energy Efficiency framework was motivated by the rapidly increasing energy consumption and operational expenditure (OPEX) of mobile networks, driven by surging data traffic and network densification. Prior to its standardization, energy-saving techniques were vendor-proprietary, making it difficult for operators to compare solutions or measure holistic network performance. There was no common baseline for defining or reporting energy efficiency, hindering industry-wide progress toward sustainability goals. The framework was established to provide a standardized, transparent, and measurable approach to reducing the carbon footprint and electricity costs of cellular networks.

Historically, network design prioritized performance, capacity, and coverage, with energy consumption often treated as a secondary constraint. As environmental, social, and governance (ESG) concerns gained prominence and energy prices became more volatile, the industry recognized the need for a coordinated effort. The EE work item, introduced in Release 13, aimed to address this by developing technical specifications that enable energy-efficient network deployment and operation. It solves the problem of inconsistent measurement by defining clear key performance indicators (KPIs) and test methodologies, allowing for fair assessment and fostering innovation in energy-saving technologies across the ecosystem.

Classification

Part ofKPI
Specific typesESM
Related approachesSONRANNMS

Release Timeline

Detected Changes Across Releases

from 3GPP Change Requests

Specific changes extracted from the „Change history“ tables of 3GPP specifications (10 CRs across 3 releases). Complements the general historical overview above with the evidence-based evolution of this function.

Rel-16 2 changes

In Release 16, the Energy Efficiency (EE) function introduced standardized Key Performance Indicators (KPIs) for measuring network-wide energy consumption and efficiency. These KPIs, defined for packet-switched networks, involve measurements of both Energy Consumption (EC) and Energy Efficiency at the RAN and system-wide levels across different deployment scenarios like rural and dense urban. The update also established a framework for deriving these system-wide values from nodal or subsystem measurements and for evaluating efficiency relative to traffic load and coverage area.

  • Add 5G Energy Efficiency KPI TS 28.554CR0032
  • Update measurements supporting energy efficiency KPI TS 32.425CR0177
Rel-17 4 changes

In Release 17, key advancements for the Energy Efficiency (EE) function included the formal addition of a definition for a 5G Core (5GC) energy efficiency KPI and updates to the solutions and considerations for EE, particularly for URLLC network slices. This built upon the existing framework by further specifying how to measure system-wide energy consumption and efficiency across different deployment scenarios like rural and dense urban areas. The work continued to emphasize that energy saving operations should be enabled at network, site, and equipment levels without adversely affecting system capacity or performance.

  • Update on energy efficiency of URLLC network slice TS 28.310CR0011
  • Update on energy efficiency of URLLC network slice TS 28.554CR0079
  • Add definition of 5GC energy efficiency (EE) KPI TS 28.554CR0088
  • Update on the solutions for energy efficiency TS 28.310CR0017
Rel-19 4 changes

In Release 19, the key advancements for the Energy Efficiency (EE) function included the formal introduction of **Energy Efficiency as a Service (EEaaS)** with updated use cases and requirements. Furthermore, the release added a new **multi-dimensional energy efficiency use case** and its corresponding solution description, expanding the framework for assessing energy efficiency across different deployment scenarios and traffic profiles as outlined in the existing specifications.

  • Rel-19 CR TS 28.310 Update UC and requirements of Energy Efficiency as a Service Criteria TS 28.310CR0090
  • Rel-19 CR TS 28.554 Add multi-dimensional energy efficiency use case TS 28.554CR0232
  • Rel-19 CR TS 28.310 Add missing solution description for multi-dimensional energy efficiency TS 28.310CR0091
  • Rel-19 CR TS 28.310 Update UC and requirements of Energy Efficiency as a Service Criteria TS 28.310CR0094

Explore further

Broader topics and technologies where EE plays a role.

Defining Specifications

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

SpecificationTitleRelease
TR 21.866 vf00 Study on Energy Efficiency in 3GPP Standards Rel-15
TR 22.882 vj30 Study on Energy Efficiency as a Service Criteria Rel-19
TS 23.700 vk00 XR Services Application Enablement Layer Rel-20
TS 28.310 vj20 Energy Efficiency Management for 5G Networks Rel-19
TS 28.554 vk00 5G Network & Slice KPI Specification Rel-20
TS 32.405 vj00 UTRAN Performance Measurements Specification Rel-19
TS 32.425 vj00 E-UTRAN Performance Measurements Rel-19
TS 32.450 vj00 E-UTRAN Key Performance Indicators (KPI) Definitions Rel-19
TS 32.451 vj00 KPI Requirements for E-UTRAN Rel-19
TS 32.856 vf00 Energy Efficiency Assessment for RAN OAM Rel-15
TR 32.972 vj00 Energy Efficiency Study for 5G Networks Rel-19
TR 33.876 vi01 Technical Report on Certificate Management Rel-18
TR 38.864 vi10 Technical Report on Network Energy Savings for NR Rel-18
TR 38.913 vj00 Next Gen Access Tech Scenarios & Requirements Rel-19
TS 52.402 vj00 GSM Performance Management Measurements Rel-19
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.