RF Spectrum Analysis & Testing: Deep Dive into 5G/mmWave & PA Linearity
- Sonya

- Dec 31, 2025
- 7 min read
The Complexity of the Modern Spectrum and the Evolution of Test
The evolution of wireless technology is no longer just about raw speed; it is a high-stakes gamble between spectral efficiency and signal integrity. For senior RF test engineers, the battlefield has shifted. We are no longer simply verifying a transmitter and a receiver in isolation; we are navigating a crowded, dynamic, and hostile electromagnetic ecosystem.
In the past, the spectrum was treated as a vast, compartmentalized resource. Today, it is prime real estate. As 5G matures and we look toward 6G, we are expanding from the congested Sub-6 GHz bands into the unforgiving physics of the millimeter-wave (mmWave) spectrum. This environmental upheaval drives a fundamental paradigm shift in RF testing: moving from "verifying single specs" to "evaluating system-level interactions" under conditions that mimic the chaotic reality of the field.

Bridging the Frequency Divide: Sub-6 GHz vs. mmWave
Physics dictates the boundaries of our tests. In the Sub-6 GHz regime, electromagnetic waves possess robust diffraction capabilities, tolerating physical obstructions and maintaining manageable path loss. However, crossing into the mmWave domain changes the rules of engagement. While the laws of physics remain constant, their manifestation becomes severe. mmWave propagation behaves more like light—extremely sensitive to path loss and possessing almost zero diffraction capability. A single physical obstacle can sever the link.
This dichotomy necessitates a divergence in test strategy. At lower frequencies, we rely on Conducted Testing, cabling instruments directly to the Device Under Test (DUT) to eliminate environmental variables. But in mmWave, the traditional RF connector is extinct, replaced by Antenna-in-Package (AiP) modules where the radio and antenna are fused. Furthermore, mmWave relies on high-gain Beamforming to overcome path loss—a spatial characteristic that cannot be validated through a coaxial cable.
Consequently, Over-the-Air (OTA) testing is no longer optional; it is the only viable path. The challenge for engineers shifts from circuit parametric analysis to mastering the anechoic chamber—controlling complex spatial fields, calibrating for free-space path loss, and managing precise mechanical positioning. We must now think in terms of electromagnetics, not just circuit theory.
Coexistence and the Iron Grip of Regulation
Spectrum scarcity forces us to pack more signals into tighter spaces. While Licensed Bands offer a controlled environment, Unlicensed Bands (like the 6 GHz band for Wi-Fi 6E/7) resemble the "Wild West," requiring devices to possess robust interference rejection and coexistence mechanisms.
Complexity peaks with Dynamic Spectrum Sharing (DSS), which allows 4G LTE and 5G NR to share the same frequency band, reallocating resources on a millisecond basis. This demands test instruments capable of parsing rapid-fire temporal switching, ensuring that a 5G burst inserted into an LTE subframe does not trigger unexpected interference or demodulation failures.
In this context, regulatory standards (FCC, ETSI) act as the absolute boundary conditions. Equivalent Isotropically Radiated Power (EIRP) limits coverage to prevent interference, while Out-of-Band Emissions (OOBE) strictly police signal leakage. For the test engineer, OOBE is not just a compliance number; it is a comprehensive stress test of filter design, PA linearity, and the system’s noise floor.
The Core Conflict: Linearity, Efficiency, and Noise
The essence of RF design lies in managing an eternal triangle of trade-offs: we demand maximum energy efficiency, maximum range (high power), and pristine signal quality (high linearity). Physics dictates that these goals are mutually exclusive. The test engineer's role is to quantify the cost of these trade-offs.
The Power Amplifier (PA) Paradox: Efficiency vs. Linearity
The Power Amplifier is the hungriest component in the RF front end and the primary source of non-linear distortion. To extend battery life, designers push PAs to operate near their saturation region, where efficiency is highest. However, saturation introduces Gain Compression—the PA's output power no longer scales linearly with input power.
In the frequency domain, this time-domain "clipping" translates directly into Spectral Regrowth. Energy from a clean, bandwidth-limited signal splashes over into adjacent channels.
This physical phenomenon manifests in test results as degraded Adjacent Channel Leakage Ratio (ACLR). Engineers must understand that a poor ACLR is not just a failing metric; it signifies that the PA’s non-linearity is actively polluting the spectrum, potentially causing regulatory failure or degrading the capacity of other users in the cell.
Complex Waveforms: PAPR and its Consequences
Modern standards (LTE, 5G NR, Wi-Fi) rely on Orthogonal Frequency-Division Multiplexing (OFDM). When hundreds of subcarriers align in phase, they create massive instantaneous power spikes, resulting in a high Peak-to-Average Power Ratio (PAPR).
High PAPR is a nightmare for PAs. To prevent these peaks from hitting the saturation ceiling and clipping (which destroys ACLR), the PA’s average operating point must be lowered—a technique called Power Back-off. However, backing off kills efficiency, converting valid power into heat. This necessitates Digital Pre-Distortion (DPD), where algorithms inject "anti-distortion" to linearize the PA, allowing it to run efficiently without violating spectral masks.
In testing, we use the Complementary Cumulative Distribution Function (CCDF) to analyze power statistics. The CCDF curve reveals the probability of signal power exceeding the average by a specific margin. Generating test waveforms with precise CCDF characteristics is a prerequisite for validating real-world PA performance.
Intermodulation Distortion (IMD) in Wideband Systems
As we employ Carrier Aggregation (CA) to transmit on multiple frequencies simultaneously, non-linear components act as mixers, creating Intermodulation Distortion (IMD). The Third-Order Intermodulation (IMD3) products are particularly lethal because they often land directly inside or immediately adjacent to the desired signal band, making them impossible to filter out.
We quantify this utilizing the Third-Order Intercept Point (IP3)—a theoretical metric where fundamental power intersects with IMD3 power. A higher IP3 indicates superior linearity. Through Two-tone Testing, engineers must verify that these "ghost signals" generated by the hardware do not mask the desired transmission or desensitize the receiver.
The Erosion of Noise: Sensitivity and Signal Quality
If non-linearity is the enemy of strong signals, noise is the assassin of weak ones. Noise Figure (NF) defines how much the Signal-to-Noise Ratio (SNR) degrades as the signal passes through the chain. It sets the hard limit for receiver sensitivity.
However, in spectral applications, Phase Noise is often more destructive than thermal noise. Originating from the instability of the Local Oscillator (LO), phase noise manifests in the frequency domain as a "skirt" spreading out from the carrier.
This "skirt" has two devastating effects:
It smears constellation points rotationally, causing errors in high-order modulation (e.g., QAM).
It causes Reciprocal Mixing. When a strong interfering signal mixes with a noisy LO, the interferer’s "skirt" is down-converted right on top of the weak desired signal, effectively burying it. For the test engineer, this means LO purity is often the invisible bottleneck in blocking and selectivity tests.
Comprehensive Verification and Advanced Challenges
All RF impairments—non-linearity, noise, and frequency response—eventually converge into key performance indicators.
EVM: The Ultimate Health Check
Error Vector Magnitude (EVM) is the definitive metric for modulation quality. It measures the vector difference between the actual measured constellation point and its ideal location. EVM is the "summary judgment" of the system’s health.
Crucially, an expert test engineer must be capable of decomposing EVM.
If the constellation points are fuzzy, circular blobs? Look for Noise (thermal or phase).
If the outer points are compressed inward? That is PA Non-linearity (compression).
If the entire constellation is rotated? Suspect Synchronization or Phase Errors. Connecting EVM back to ACLR, IMD, and NF is the only way to diagnose the root cause.
The Flexibility and Complexity of 5G NR
5G NR introduces Bandwidth Parts (BWP) and Flexible Numerology, allowing the network to dynamically resize bandwidth and subcarrier spacing. This creates a combinatorial explosion of test cases. We must verify that the RF front end maintains stability and linearity during the transient switching of BWPs. Furthermore, complex Carrier Aggregation combinations increase the risk of cross-band intermodulation, requiring sophisticated frequency planning tools to identify potential "trap" frequencies during testing.
The Spatial Dimension: Massive MIMO and Beamforming
Massive MIMO utilizes Spatial Multiplexing to send multiple data streams on the same frequency. This expands testing from "Power-Frequency" to "Power-Frequency-Space." In OTA environments, we validate not just total power, but Beamforming accuracy, beam width, and Sidelobe Levels. High sidelobes represent wasted energy and, critically, interference projected toward other users. Interpreting 3D radiation patterns is now a required skill.
The Art of Measurement: Instrumentation and Interpretation
Understanding physics is the foundation; capturing it with precision is the art.
Choosing the Right Arsenal
Vector Network Analyzers (VNA): The bedrock for characterizing component S-parameters (reflection and transmission).
Vector Signal Analyzers (VSA): Indispensable for demodulating modern digital signals, providing the phase and magnitude data necessary to calculate EVM.
Real-Time Spectrum Analyzers (RTSA): With gap-free capture and Persistence Display, the RTSA allows engineers to "see" transient interference and dynamic switching events that traditional swept-tuned analyzers miss entirely.
Critical Settings for Spectral Analysis
Resolution Bandwidth (RBW) setup is a balancing act. Lowering RBW reduces the noise floor (improving sensitivity) and separates closely spaced signals, but drastically slows down sweep speed. Detector Selection is equally critical. For Continuous Wave (CW), detectors matter less. But for high-PAPR 5G signals:
Peak Detectors capture the maximum instantaneous power (critical for interference assessment).
RMS Detectors measure average power (essential for accurate channel power and ACLR calculations). Using the wrong detector can introduce measurement errors of several dB—fatal margins in compliance testing.
The Future-Ready RF Test Engineer
As the spectrum becomes more congested and waveforms more intricate, the ability to simply operate a test bench is no longer sufficient. The modern RF test engineer must possess a deep intuition for the physical links between linearity, efficiency, and noise.
From understanding how PA saturation bleeds into adjacent channels, to visualizing how phase noise obscures weak signals, and validating spatial beams in an OTA chamber—every test requires theoretical depth. Precision measurement is not just about passing a standard; it is about operating at the edge of physics to unlock the full potential of wireless communication.





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