FER

Frame Erasure Rate / Frame Error Rate

Physical Layer →
Introduced in R99 Also in: Services

FER is the measured ratio of erroneous or discarded data frames to total transmitted frames, serving as a critical Key Performance Indicator for assessing radio link quality and reliability across 3GPP technologies.

Category
Physical Layer
Introduced
R99
Where
Radio Access Network › UTRAN (3G)
Also touches
1 segments
Specifications
24 specs
FER Description Purpose Related Classification Specifications

Description

The Frame Erasure Rate (FER), also commonly referred to as Frame Error Rate, is a fundamental measured performance metric in 3GPP systems. It is defined as the ratio of the number of data frames received with uncorrectable errors (and therefore typically discarded or 'erased') to the total number of frames transmitted over a given period. Unlike the predictive FEP, FER is an empirical, post-facto measurement of actual link performance. It is calculated by the receiver (either User Equipment or base station) after cyclic redundancy check (CRC) verification fails for a received transport block or frame.

The measurement of FER occurs at various protocol layers, most notably at the physical layer for transport blocks and at the Radio Link Control (RLC) layer for data packets. At the physical layer, a block error rate (BLER) is often measured, which is conceptually similar to FER for a given transport block size. The network uses FER measurements reported by the UE (e.g., in Channel Quality Indicators - CQI, or out-of-sync reports) and its own measurements to make critical radio resource management decisions. These include triggering handovers, adjusting modulation and coding schemes (MCS) via link adaptation, and modifying power control targets.

FER specifications are spread across numerous 3GPP documents covering service requirements (22-series), technical specifications (25-series for UTRA, 38-series for NR), and performance aspects. These specs define target FER values for different services (e.g., voice, video, data) under various channel conditions. For example, for circuit-switched voice, a FER below 1% might be targeted to maintain toll-quality. The FER is a direct driver of the user-perceived quality; a high FER results in garbled audio, frozen video, or slow data throughput due to retransmissions and TCP congestion control. Therefore, continuous monitoring and minimization of FER is a primary goal of the radio access network's operation and optimization processes.

Purpose & Motivation

FER exists as a universal, tangible metric to quantify the success rate of data transmission over the inherently unreliable wireless medium. Its purpose is to provide network operators, equipment vendors, and standardization bodies with a common, measurable gauge of link quality. This allows for performance benchmarking, troubleshooting, and ensuring that defined quality of service (QoS) levels are met. It addresses the fundamental challenge of translating physical layer impairments (noise, interference, fading) into a service-impact metric that can be used for system control.

Historically, as cellular technology evolved from analog to digital (GSM), the concept of frame-based transmission necessitated an error rate metric for frames. With the introduction of packet-switched services in GPRS, UMTS, and beyond, the importance of FER grew, as data services are more sensitive to errors than voice. It solved the problem of having an objective, layer-2 measure of reliability that could be tied directly to higher-layer protocols (like TCP) and user experience. The extensive specification of FER targets across releases ensures backward compatibility and forward-looking performance goals, driving continuous improvement in receiver design, coding techniques, and network algorithms to achieve lower FERs and thus higher spectral efficiency.

Classification

Part ofFEP
Specific typesFEPPER
Related approachesBLERCQI

Evolution Across Releases

R99 Initial

FER was established as a core performance metric for the new WCDMA-based UMTS system. Specifications defined FER requirements for dedicated channels (DCH), common channels, and for the acceptance testing of User Equipment. It was integral to the new fast power control and soft handover mechanisms.

Explore further

Broader topics and technologies where FER plays a role.

Defining Specifications

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

SpecificationTitleRelease
TR 21.905 vj00 3GPP Technical Terms and Definitions Rel-19
TS 22.105 vj00 Telecommunication Services Framework Rel-19
TS 23.107 vj00 UMTS QoS Framework Rel-19
TS 23.171 v1300 LCS Stage 2 Specification for UMTS Rel-4
TS 23.207 vj00 End-to-End QoS Framework for GPRS Rel-19
TS 23.271 vj00 LCS Stage 2 Specification Rel-19
TS 25.101 vj00 UTRA FDD UE RF Requirements Rel-19
TS 25.102 vj00 UTRA TDD RF Characteristics Rel-19
TS 25.103 v1100 RF Requirements for RRM R99
TS 25.104 vj00 UTRA FDD Base Station RF Characteristics Rel-19
TS 25.105 vj00 UTRA TDD Base Station RF Requirements Rel-19
TS 25.123 vj00 Radio Resource Management for TDD Rel-19
TS 25.133 vj00 UTRAN RRM Requirements for FDD Rel-19
TS 25.141 vj00 UTRA FDD Base Station RF Conformance Testing Rel-19
TS 25.201 vj00 UTRA Physical Layer General Description Rel-19
TS 25.212 vj00 UTRA FDD Layer 1 Multiplexing & Channel Coding Rel-19
TS 25.222 vj00 UTRA TDD Multiplexing & Channel Coding Rel-19
TR 26.935 vj00 Speech Codec Performance for Packet Switched Multimedia Rel-19
TR 26.936 vj00 Audio Codec Characterization Technical Report Rel-19
TR 26.952 vj00 EVS Codec Selection, Verification & Characterization Rel-19
TS 29.116 vj00 REST-based protocol for xMB reference point Rel-19
TR 45.903 vj00 SAIC Feasibility Study for GSM Networks Rel-19
TR 45.913 vj00 Optimized Transmit Pulse Shape for EGPRS2-B Rel-19
TR 45.914 vj00 MUROS Feasibility Study for Voice Capacity 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.