PlatformsFaststream SiliconFaststream RadioFaststream VisionConnected EdgeFaststream SecureMobility & Rail
ProductsSemiconductor IPWireless & RANEdge & GatewaysTracking & IdentificationSoftware & FrameworksConnected Systems
TechnologyRTL to GDSIIVerification methodologyDFT and silicon testLow-power designMixed-signal integrationDesign enablement5G protocol stackWireless and RF architectureBaseband and low PHYForward error correctionControl and data planeHigh-speed interfacesFirmware and bootSilicon root of trustSoftware-defined vehicleAutomotive OTAFunctional safety
AIAI Engineering ServicesEdge AI & Embedded MLComputer Vision EngineeringSensor Fusion & PerceptionAI Silicon & AccelerationMLOps for DevicesAI Visual InspectionPredictive MaintenanceDriver MonitoringVideo Analytics & Safety
SolutionsSemiconductorIndustrial AIConnected ProductsAsset TrackingAutomotive & MobilitySmart InfrastructureSecure IdentityWireless & SatelliteSmart WashroomsFuel ManagementSmart BuildingsWorker SafetyEnergy MonitoringSmart AgricultureSmart CityAutonomous PlatformsAssembly AutomationLiDAR Rail SafetyHardware Wallet
IndustriesSemiconductorTelecommunicationsIndustrial & ManufacturingAutomotive & MobilityTransportation & RailAerospace & DefenceHealthcare & MedicalEnergy & UtilitiesOil & GasRetailConsumer ElectronicsMedia & EntertainmentSmart Infrastructure & IoT
ServicesSystem Integration overviewASIC & SoC DesignFPGA DesignFPGA-to-ASIC ConversionAnalog, Mixed-Signal & RFHardware & High-Speed PCBEmbedded SoftwareCloud, OTA & Device ManagementManufacturing TransitionHow we engage
InsightCase StudiesKnowledge CenterWhite PapersGlossaryNewsletterResources & Support
CompanyAbout FaststreamEngineering ExcellenceLeadership & OrganisationHow We EngageQuality & ComplianceStandards & EcosystemPartners & EcosystemTrust CentreLocations & DeliveryNewsroom & MediaCareers
ContactStart a projectHow we engage
Talk to an engineer
APPLICATION NOTE

Linearisation in 5G: why the amplifier decides the power bill

A power amplifier is most efficient when driven close to saturation and most linear when driven well below it. A 5G waveform, with its high peak-to-average ratio, sits in exactly the wrong place on that curve. Crest factor reduction and digital pre-distortion exist to move it — and together they decide what a radio site costs to run.

DPDCFRLinearisationPAPRAmplifier efficiency
ShareLinkedInXEmail
THE PROBLEM

OFDM produces peaks the amplifier cannot afford.

An OFDM signal is the sum of many subcarriers. Occasionally those subcarriers align in phase and produce a peak far above the average power — typically eight to twelve decibels above it before any treatment.

The amplifier has to accommodate that peak without clipping, which means operating with its average output well below saturation. That backed-off operating point is where amplifiers are least efficient, and efficiency is the single largest determinant of site energy consumption.

This is a recurring operating cost, not a capital one. An amplifier a few percentage points more efficient saves energy every hour of every year across every site in the network, which is why the digital front end attracts engineering attention out of proportion to its size.

THE TWO TOOLS

Reduce the peaks, then correct the distortion.

01

Crest factor reduction

Deliberately reduce the peak-to-average ratio before the signal reaches the amplifier, typically from around eight to twelve decibels down to six to nine. The peaks are clipped or cancelled in a controlled way.

02

The cost of doing so

Clipping is distortion. It degrades EVM and generates out-of-band emission, so the reduction is bounded by the spectral mask and the EVM budget rather than by how much peak reduction is desirable.

03

Digital pre-distortion

Apply the inverse of the amplifier's transfer characteristic to the signal before it arrives, so the amplifier's own non-linearity cancels it. The amplifier can then be driven harder for the same linearity.

04

Memory effects

Real amplifiers respond to recent history, not just the present sample, because of thermal and bias-network time constants. A memoryless correction is insufficient at wide bandwidths, which is why practical pre-distorters carry memory terms.

05

Adaptation

The characteristic moves with temperature, ageing, supply and frequency, so the correction is derived continuously from an observation receiver rather than fixed at calibration.

06

The result

Higher average output power for the same spectral compliance, which is the same thing as higher efficiency at the same output power. Either way the site draws less.

WHAT MAKES IT HARD

Five practical constraints.

COMMON QUESTIONS

What engineers ask before they call.

01

Why do 5G signals need linearisation?

OFDM sums many subcarriers, which occasionally align to produce peaks eight to twelve decibels above average power. Accommodating those peaks forces the amplifier to operate backed off from saturation, where it is least efficient — and amplifier efficiency dominates site energy consumption.

02

What is crest factor reduction?

Deliberately reducing the peak-to-average ratio before the amplifier, typically to six to nine decibels, by clipping or cancelling peaks in a controlled way. It is bounded by the spectral mask and the EVM budget, because clipping is itself distortion.

03

What is digital pre-distortion?

Applying the inverse of the amplifier's transfer characteristic to the signal beforehand, so the amplifier's own non-linearity cancels it. That allows the amplifier to be driven harder for the same linearity, which is the same as higher efficiency at a given output.

04

Why do pre-distorters need memory terms?

Because real amplifiers respond to recent signal history, not just the present sample, owing to thermal and bias-network time constants. A memoryless correction is inadequate at the bandwidths 5G uses.

05

Why must pre-distortion adapt continuously?

The amplifier characteristic moves with temperature, ageing, supply voltage and frequency. A correction fixed at calibration degrades in service, so the coefficients are derived continuously from an observation receiver.

06

Should CFR and DPD be designed together?

Yes. Crest factor reduction changes the signal statistics the pre-distorter is trained against, so tuning them separately and combining them afterwards gives a worse result than designing the pair as one subsystem.

FOUND THIS USEFUL?

Pass it on.

Written for engineers. Share it with one.

ShareLinkedInXEmail
KEEP READING

Related work.

BUILD WITH FASTSTREAM

Bring us the difficult part.

Tell us the specification, the constraint and the deadline. Programmes that cross silicon, radio, embedded and AI are where Faststream is strongest.