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O-RAN Radio Unit (O-RU)

  • Writer: Venkateshu
    Venkateshu
  • 56 minutes ago
  • 9 min read
  1. Introduction

O-RAN (Open Radio Access Network) represents a paradigm shift in mobile network design, transforming traditional, vendor-locked RAN systems into open, interoperable, and intelligent ecosystems. It disaggregates hardware and software components, virtualizes RAN functions, and introduces open interfaces and AI/ML-driven automation for optimization and orchestration.


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The O-RAN architecture decouples the traditional base station into:

 

O-CU (Central Unit):Located at the network core, the O-CU handles higher-layer protocols such as RRC (Radio Resource Control), SDAP (Service Data Adaptation Protocol), and PDCP (Packet Data Convergence Protocol). It manages session control, signaling, and policy enforcement for connected devices.

O-DU (Distributed Unit):This unit processes real-time lower-layer protocols including Low PHY, MAC (Medium Access Control), and RLC (Radio Link Control). It handles scheduling of radio resources and manages timely execution of protocol procedures essential for radio communication.

 

Fronthaul Switch:The Fronthaul Switch provides a reliable, high-throughput Ethernet-based transport network, carrying digitized baseband I/Q samples between the O-DU and the O-RU. It is designed for low latency to enable efficient real-time communication over the fronthaul interface.

RIC + SMO (RAN Intelligent Controller and Service Management & Orchestration):Provides AI/ML-driven centralized management and optimization for network operations, enabling advanced automation, telemetry processing, and adaptive control of resources.

Grandmaster Clock:A critical timing source that distributes highly accurate synchronization signals to both the O-DU and the O-RU’s clocking and synchronization unit, ensuring coherent time and frequency alignment across the RAN components.

 

O-RU (Radio Unit):

The O-RU is a critical element in the O-RAN architecture, positioned at the radio access edge. It hosts the Low-PHY layer and the RF processing modules, responsible for converting baseband I/Q signals from the O-DU into RF signals for transmission and vice versa.

  • Logical Functions: The O-RU handles FFT/iFFT, PRACH extraction, digital filtering, RF front-end processing, and analog front-end conversion.

  • Fronthaul Interface: It connects to the O-DU via the Open Fronthaul Interface (7.2x split) standardized by O-RAN Alliance, enabling interoperability.

 

O-RU (Radio Unit) Internal Components:

  1. Digital Front-End (DFE): Responsible for baseband processing tasks such as FFT/iFFT, filtering, and beamforming. It prepares the signal digitally before conversion to RF and refines received signals for digital processing.

  2. RF Front-End (RFFE): Converts digital baseband signals to analog RF signals using DACs and mixers for transmission. It also amplifies the signal via Power Amplifiers and filters it, while on the receive side, it converts received RF signals back to digital form through ADCs and filtering.

  3. Clocking & Synchronization: Ensures precise timing and frequency references using IEEE 1588 PTP and SyncE protocols. Accurate synchronization is critical for proper communication and coordinated beamforming.

  4. Duplexing Switch: Enables support for both FDD and TDD duplex modes by managing the switching of transmission and reception paths depending on the network configuration.

 

 

 

Data and Control Flow:

  • The O-CU controls the O-DU through control plane and user plane signaling, managing the overall session and radio resource control.

  • The O-DU sends and receives digitized radio signals to/from the O-RU via the Fronthaul Switch, enabling real-time transmission of wireless data.

  • The O-RU manages the physical radio transmission and reception processes through its internal modules: baseband digital processing (DFE), RF conversion and amplification (RFFE), and duplex switching for FDD/TDD.

  • The RIC + SMO oversees telemetry feedback and applies policy-based optimization back to the O-CU, closing the loop for intelligent radio network management.

  • The Grandmaster Clock synchronizes timing across the entire RAN segment, ensuring all components operate with unified and precise timing—a cornerstone for techniques like Massive MIMO and coordinated beamforming.

 

  1. O-RAN Split 7.2x Physical Layer Processing — O-DU and O-RU

The O-RAN 7.2x functional split defines how the physical layer (PHY) processing is divided between the O-DU (O-RAN Distributed Unit) and the O-RU (O-RAN Radio Unit). This split ensures flexibility, interoperability, and optimized fronthaul transport for various deployment scenarios.

 

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The 7.2x interface splits the physical layer (PHY) between the O-DU and the O-RU:

O-DU Responsibilities (Upper PHY):

  • Channel Coding / Rate Matching: Performs coding (LDPC for data, Polar for control) and rate adjustments.

  • Modulation / Demodulation: Converts bits into complex modulation symbols (QPSK, 16QAM, etc.).

  • MAC Scheduling: Handles HARQ, resource assignment, and multiplexing.

  • Beamforming Weight Computation (for Cat-B RUs): Calculates and sends beamforming matrices.

O-RU Responsibilities (Lower PHY):

  • FFT/iFFT Processing: Converts signals between time and frequency domains.

  • Resource Element Mapping: Places modulation symbols on resource grid positions.

  • PRACH Processing: Detects and processes random access signals.

  • Conversion & Amplification: Manages DAC/ADC and RF front-end signal paths.

 

O-RU Category A vs Category B (per O-RAN Specification)

Category

Description

Beamforming Responsibility

Fronthaul Bandwidth

Use Case

O-RU Category A

Baseband beamforming is done at O-RU. O-DU provides per-antenna data.

O-RU performs beamforming.

High (due to per-antenna data)

Small cell or distributed massive MIMO

O-RU Category B

Beamforming is done at O-DU. O-RU receives pre-beamformed data.

O-DU performs beamforming.

Lower (beamformed streams)

Macro and centralized deployments

 

Vendor Real-World Example:

  • Nokia AirScale and Samsung vRAN support O-RAN 7.2x interfaces leveraging Category A/B O-RU configurations.

  • FujitsuNEC, and Mavenir provide O-RUs compliant with O-RAN 7.2x Category A.

  • Keysight and VIAVI offer test instruments to emulate O-DU and verify O-RU compliance against O-RAN Fronthaul (WG4 specifications).

 

 

 

3. RF Processing Chain and Component Functionality

 

The O-RU processes uplink and downlink signals with these critical stages:

 

Transmitter Chain (Downlink):

  1. Digital Baseband Signal: This comprises the modulated data symbols from layer 1 and 2 processing (e.g., QAM symbols). For example, a commercial 5G Qualcomm modem outputs these baseband symbols.

  2. Digital Signal Processing (DSP): Implements pulse shaping filters (such as root raised cosine), DPD to linearize the non-linear PA, and CFR to reduce PAPR. Qualcomm's QFE series chipsets and Nokia AirScale radios integrate advanced adaptive DPD algorithms.

  3. Digital-to-Analog Converter (DAC): Converts digital samples to continuous analog signals with high-speed converters like Texas Instruments DAC38RF series used in commercial 5G radios.

  4. Upconverter (Mixer + LO): Frequency translation from baseband to RF. Vendors like Analog Devices offer wideband RF mixers (ADMV101X series) supporting 5G bands.

  5. Power Amplifier (PA): Boosts signal power efficiently. Examples include Qorvo's GaN-based PAs widely deployed in 5G base stations.

  6. Bandpass Filter: Removes unwanted frequency components to meet spectrum mask regulations. Filters from vendors like Murata or AVX are standard.

  7. Antenna: The final radiator of the high-frequency signal, which can be part of Massive MIMO arrays in Ericsson and Huawei 5G radios.

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Receiver Chain (Uplink):

  1. Antenna: Captures radio waves. For example, Nokia's Active Antenna Systems use large arrays for reception.

  2. Bandpass Filter: Selectively passes desired frequencies to reduce noise and interference. Common components for this come from suppliers like TDK or Skyworks.

  3. Low Noise Amplifier (LNA): Amplifies weak signals with minimal noise addition. Analog Devices and Qorvo produce LNAs optimized for 5G frequency bands.

  4. Downconverter (Mixer + LO): Converts RF signals down to baseband or IF. Analog Devices' ADMV series is widely used.

  5. Analog-to-Digital Converter (ADC): Converts the analog baseband signals into digital values. TI and Analog Devices provide high-speed ADCs suitable for 5G NR.

  6. Digital Signal Processing (DSP): Performs critical functions including FFT, channel estimation (e.g., Least Squares, MMSE), equalization (LMS, RLS adaptive filters), and decoding (LDPC, Turbo codes). Qualcomm baseband processors and Samsung Exynos modems incorporate these algorithms.

  7. Digital Baseband Signal: The final output digital data stream ready for higher protocol processing.

 

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4. Key Components:

  • Power Amplifiers (PAs): High efficiency, linearity critical for minimizing EVM.

  • DPD Module: Digital algorithms to linearize PA behavior, improving efficiency.

  • Crest Factor Reduction (CFR): Decreases peak signal power, allowing better PA utilization.

  • Antenna Array Modules: For Massive MIMO and beamforming.

 

Power Amplifiers (PAs): 

A Power Amplifier is an electronic device that increases the power level of a radio frequency (RF) signal so it can be transmitted over the air through antennas. It takes low-power input signals (usually from the transceiver or RF frontend) and amplifies them to a higher power level suitable for wireless coverage.

How Does a PA Work?

  • Input Signal Reception: Receives modulated RF signals at low power.

  • Amplification Stage: Uses active semiconductor devices (e.g., bipolar transistors, GaN HEMTs) operating in specific classes (A, AB, B, F, etc.) to amplify the input signal.

  • Impedance Matching & Filters: Match output impedance to the antenna/feed line for maximum power transfer, while filters suppress unwanted harmonics.

  • Output Signal: Provides an amplified RF signal with sufficient power for transmission over the desired coverage area.

Why are Power Amplifiers Needed?

  • Signal Range Extension: Amplify signals to reach distant users and penetrate obstacles.

  • Coverage & Capacity: Enable wide and dense coverage in cellular networks.

  • Support for High Data Rates: Provide linear amplification critical for high-order modulation schemes (e.g., 256-QAM).

Benefits of Efficient Power Amplifiers

  • Energy Efficiency: Reduce base station power consumption, lowering operational costs.

  • Thermal Management: Less heat generation leads to improved reliability and reduced cooling needs.

  • Improved Signal Quality: Minimize distortion and spectral regrowth, improving system throughput and reducing interference.

Real-Time Vendor Examples

  • Qorvo: Supplies GaN-based PAs widely deployed in 5G NR base stations for their high efficiency and linearity.

  • NXP Semiconductors: Offers integrated PA modules optimized for sub-6 GHz 5G bands.

  • Analog Devices: Produces advanced PA modules supporting mmWave 5G frequencies with low noise and high power.

  • Skyworks Solutions: Provides compact PA front-end modules integrated with filters and switches used in 5G small cells and macro base stations.

  • NI (National Instruments) & Keysight: Offer test equipment and PA characterization tools supporting 5G R&D and deployment.

 

Digital Pre-Distortion (DPD) and Crest Factor Reduction (CFR)

Digital Pre-Distortion (DPD):

Digital Pre-Distortion (DPD) is a signal processing technique used to linearize the power amplifier (PA) in wireless transmitters. Because Power Amplifiers inherently introduce nonlinear distortion at high output powers, DPD applies a compensating inverse distortion on the input signal to correct these nonlinear effects.

 

How DPD Works

  1. Modeling PA Nonlinearity: The DPD system first characterizes the nonlinear behavior of the PA, often using models like Volterra series, memory polynomial, or look-up tables.

  2. Pre-Distorting Input Signal: It digitally modifies (pre-distorts) the baseband input signal inversely to the PA’s distortion.

  3. Signal Transmission: The pre-distorted signal is sent into the PA, which applies its natural distortion.

  4. Output Linearization: Ideally, the distortions cancel out, resulting in a linear amplified output signal with low error vector magnitude (EVM) and minimal spectral regrowth.

  5. Adaptive Loop: Often includes feedback from the PA output via analog-to-digital conversion to continuously update the DPD coefficients for changing conditions.

 

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Why is DPD Needed/Benefits

  • Improves PA Linearity: Prevents distortion and intermodulation products, enhancing signal quality.

  • Enhances Spectrum Efficiency: Reduces adjacent channel interference by limiting spectral regrowth.

  • Increases PA Efficiency: Allows PA to operate closer to saturation, saving power.

  • Supports Higher-Order Modulation: Essential for 5G NR signals requiring low EVM (e.g., 256-QAM).

 

Real-Time Examples and Vendor Implementations

  • Qualcomm: Their Snapdragon modems incorporate advanced adaptive DPD for mobile transmitters enabling efficient 5G NR power control.

  • Nokia AirScale Radios: Use AI-driven DPD algorithms to optimize PA linearization in macro and small cell radios.

  • Keysight Technologies: Provide DPD test systems (e.g., N5290A) to characterize PA performance and develop accurate pre-distortion models.

  • Qorvo: Manufactures GaN PAs with built-in DPD solutions tailored for 5G base stations to optimize power efficiency and linearity.

 

Crest Factor Reduction (CFR):

Crest Factor Reduction (CFR) is a digital signal processing technique aimed at reducing the peak-to-average power ratio (PAPR) of a modulated signal before it is transmitted by a power amplifier (PA). High PAPR signals force the PA to operate with significant power back-off to avoid distortion, reducing efficiency. CFR compresses signal peaks to enable more efficient amplification.

 

How CFR Works

  1. Signal Peak Detection:

    • The algorithm identifies signal peaks that exceed a pre-defined threshold.

  2. Peak Compression:

    • These peaks are reduced (compressed) by applying nonlinear mapping or clipping techniques, limiting the maximum signal amplitude.

  3. Filtering & Compensation:

    • To avoid introducing excessive distortion and spectral regrowth, CFR includes filtering stages and may apply pre-distortion or compensation to restore signal quality.

  4. Iterative Processing:

    • Some CFR implementations perform several iterative passes to optimize PAPR reduction and minimize signal degradation.

 

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Why CFR is Needed: Benefits

  • Increases PA Efficiency: Lowers the dynamic range the PA must handle, allowing operation closer to saturation with less back-off.

  • Reduces Power Consumption: Improved PA efficiency translates to less power usage, critical in base stations and battery-powered devices.

  • Improves Signal Quality: When combined with DPD, CFR maintains acceptable Error Vector Magnitude (EVM) and spectral mask compliance.

  • Supports High-Order Modulations: Essential for 5G NR signals with dense constellations like 256-QAM, which are sensitive to nonlinearities.

 

Real-Time Examples & Vendor Implementations

  • Qualcomm: Snapdragon platforms integrate CFR in their modem signal chain to optimize uplink transmission efficiency.

  • Huawei: Employs advanced CFR combined with DPD in base station radios to maximize PA efficiency under 5G NR standards.

  • Nokia: Implements CFR in their AirScale radios to control PAPR in mmWave frequencies, reducing thermal load.

  • Analog Devices: Offers RF transceiver ICs with built-in CFR algorithms intended for 5G base station hardware.

 

 

5. Latest Advancements and Innovations

  • Support for both FDD and TDD FR1 bands: O-RUs now can dynamically switch and handle both duplex modes using flexible RF front-ends.

  • Enhanced 7.2x Fronthaul Options: Solutions categorized as Cat A & Cat B distribute precoding and beamforming computational loads optimally between O-DU and O-RU.​

  • Advanced Massive MIMO Testing and Validation: Tools like Keysight’s S9160A provide comprehensive testing for up to 64 RF channels and real-time beam weight validation.​

  • Hybrid Open Fronthaul M-plane: Facilitates O-RU management and configuration from the SMO (Service Management and Orchestration), improving operational agility.​

  • AI/ML-Enhanced DPD and Beam Adaptation: Emerging integration of AI algorithms into DPD for improved modeling accuracy and beam tracking efficiency.

 

6. Use Cases

  • Urban Macro and Microcells: High-capacity O-RUs with Massive MIMO to boost coverage and throughput.

  • Enterprise and Industrial Private Networks: TDD/FDD flexible O-RUs enable tailored deployment strategies.

  • Densified Networks with IAB: O-RU supports dynamic beamforming and fronthaul efficiency for wireless backhaul nodes.

 

  1. Summary

The O-RAN based O-RU supports a modular, interoperable architecture blending digital baseband processing with advanced RF functionality. Key technological pillars like Massive MIMO, AI-enhanced beamforming, and sophisticated DPD/CFR techniques enable power-efficient, high-throughput, and adaptive TDD/FDD operation, aligning with 3GPP and O-RAN specifications for next-generation wireless access networks.

 

8 References

 

 


 

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