Description
Service Level Agreement is a formal agreement between a service provider and a customer or business partner that defines the expected level of service and the measurable criteria used to judge performance. In 3GPP terminology, an SLA is not a network function or protocol; it is a management and commercial construct that translates service expectations into technical obligations. It is used for 5G services, network slices, edge computing, enterprise connectivity, IoT deployments, and other scenarios where different customers require different performance, security, and availability guarantees. An SLA gives operators, service providers, and vertical customers a common reference point for planning, operating, charging, and resolving disputes. An SLA typically contains a service description, scope, performance metrics, measurement methods, thresholds, reporting obligations, responsibilities, escalation procedures, and remedies for noncompliance. Common metrics include availability, latency, jitter, throughput, packet loss, reliability, coverage, session success rate, service restoration time, and security compliance. For network slicing, the SLA may define slice-specific requirements such as isolation, capacity, QoS profiles, priority, energy constraints, and lifecycle guarantees. The agreement may also specify how the provider will monitor the service, which KPIs will be collected, how often reports are produced, and what constitutes a breach. These elements make the SLA actionable: it becomes the basis for network configuration, policy enforcement, charging, and closed-loop management. From an architecture perspective, SLAs are implemented through management, orchestration, and policy functions rather than a single network element. In a 5G network, the SLA can influence selection of network slice instances, QoS flow descriptions, PDU session parameters, UPF anchoring, charging rules, and security policies. Network management systems collect telemetry from AMF, SMF, UPF, PCF, RAN, and OSS/BSS domains. They compare observed KPIs with SLA thresholds and trigger alarms, remediation actions, or commercial notifications. In service-based architecture, management and exposure functions may make SLA-related information available to applications or third-party service providers. The SLA itself is stored as structured data or contract information and referenced by service orchestration, policy control, and charging systems. The practical value of an SLA lies in its ability to align technical capabilities with business commitments. Without an SLA, a customer may receive a generic network service with no clear definition of performance or accountability. With an SLA, the provider can differentiate offerings, support premium services, and automate assurance. For example, a factory automation slice may require deterministic latency and high reliability, while a consumer broadband slice may prioritize throughput and cost. The SLA captures these differences and guides the network to enforce them. It also supports compliance and auditing, because the provider must demonstrate that the service met the agreed objectives through measurable evidence. SLAs can be static or dynamic. In traditional deployments, they are negotiated once and reviewed periodically. In advanced 5G and 6G management concepts, SLAs may become more adaptive, using analytics, AI/ML, and closed-loop automation to adjust resources when service demand changes. Even when the SLA is dynamic, the core idea remains the same: it defines the target service experience and the rules for measuring, reporting, and correcting deviations. This makes SLAs a central concept for service assurance, network slicing, and commercial telecom operations.
Purpose & Motivation
SLAs exist because telecom services vary widely in performance, reliability, and business criticality, and customers need a clear, measurable commitment from the provider. Best-effort connectivity is sufficient for some applications, but enterprise, IoT, automotive, industrial, and public-safety services often require guaranteed latency, availability, security, or capacity. Without an SLA, there is no common framework for defining what the service should deliver, how performance is measured, or what happens when the service fails. Historically, QoS specifications described network behavior, but they did not always capture commercial obligations, monitoring, reporting, and remedies. As 5G introduced network slicing and vertical services, operators needed a way to map technical QoS and management metrics to customer-facing commitments. SLAs address this gap by turning service expectations into auditable requirements. They support differentiated service models, automated assurance, charging, and dispute resolution. They also help operators plan capacity and configure policies so that the network can meet contractual obligations rather than merely providing generic connectivity.
What changed in its specifications
The latest release-to-release comparison of specifications that define SLA. Each summary describes the whole specification, not only this term.
Rel-18 brings only minor changes to TS 21.905: 0 clauses changed, with no change attributed to a release feature.
Full comparison in TR 21.905 →Rel-19 brings only minor changes to TS 23.107: 0 clauses changed, with no change attributed to a release feature.
Full comparison in TS 23.107 →Release Timeline
Detected Changes Across Releases
from 3GPP Change RequestsSpecific changes extracted from the „Change history“ tables of 3GPP specifications (2 CRs across 2 releases). Complements the general historical overview above with the evidence-based evolution of this function.
Defining Specifications
3GPP specifications that define or reference SLA, with the latest known release. Sourced from the 3GPP document catalog — see methodology.
| Specification | Title | Release |
|---|---|---|
| TR 21.905 vj20 | 3GPP Terminology and Definitions | Rel-19 read |
| TS 22.495 v700 | NGN Requirements for IMS Services | Rel-7 read |
| TS 22.519 vj00 | NGN Business Communication Requirements | Rel-19 read |
| TR 22.980 vj00 | Network Composition Feasibility Study | Rel-19 read |
| TS 23.107 vj00 | UMTS QoS Framework | Rel-19 read |
| TS 23.207 vj00 | End-to-End QoS Framework for GPRS | Rel-19 read |
| TS 23.435 vk00 | Network Slice Capability Enablement (NSCE) Architecture | Rel-20 read |
| TS 23.700 vk10 | AI/ML Application Layer Support Phase 2 | Rel-20 read |
| TR 23.758 vh00 | Study on Edge Application Architecture | Rel-17 read |
| TS 24.525 vj00 | Business Trunking Architecture & Requirements | Rel-19 read |
| TS 26.501 vk00 | 5G Media Streaming Architecture | Rel-20 read |
| TS 26.804 vk10 | 5G Media Delivery Architecture Extensions | Rel-20 read |
| TS 26.891 vg00 | Media Distribution Services in 5G System | Rel-16 read |
| TS 26.942 vk00 | Sustainable Media Metrics and Architectural Impacts for 5G | Rel-20 read |
| TS 28.530 vj00 | Network Slicing Concepts & Requirements | Rel-19 read |
| TS 28.535 vj00 | Closed Control Loop Assurance Management | Rel-19 read |
| TS 28.536 vj20 | Management services for communication service assurance | Rel-19 read |
| TS 28.805 vg10 | Management of Communication Services in 5G | Rel-16 read |
| TS 29.116 vj00 | REST-based protocol for xMB reference point | Rel-19 read |
| TS 29.199 | 3GPP TS 29.199 | R99 read |
| TS 29.213 vj30 | PCC Procedures and Flows | Rel-19 read |
| TS 29.219 vj00 | Sy Reference Point Stage 3 Specification | Rel-19 read |
| TR 29.949 vj00 | VoLTE IMS Roaming Architecture & Procedures | Rel-19 read |
| TS 32.101 vj00 | PLMN Management Principles and Requirements | Rel-19 read |
| TS 32.102 vj00 | Telecom Management Physical Architecture Framework | Rel-19 read |
| TS 32.141 vj00 | Subscription Management (SuM) Architecture | Rel-19 read |
| TS 32.410 vj00 | 3GPP TS 32.410: Key Performance Indicators (KPI) | Rel-19 read |
| TS 32.854 vb10 | FMC Federated Network Information Model | Rel-11 read |
| TS 38.300 vj40 | NR and NG-RAN Overall Description | Rel-19 read |
| TR 38.828 vg10 | CLI and RIM for NR | Rel-16 read |
| TR 38.900 vf00 | Channel Model Study for >6 GHz | Rel-15 read |
| TS 38.901 vj50 | 5G NR Channel Model | Rel-19 read |