Why coexistence and desense decide user experience
Private 5G devices rarely operate alone. They sit beside Wi-Fi/BLE/UWB/Zigbee/LoRa/GNSS and often host multiple cellular carriers/CA. The result: your receiver’s effective sensitivity is dictated less by textbook NF and more by in-band/adjacent interferers, self-jammers, and platform noise. If your lab cannot reproduce these conditions, your field performance will be unpredictable.
Working definition:
- Coexistence: Performance with external or co-located radios active (time/frequency/space sharing).
- Desense: Degradation of receiver sensitivity (ΔEIS or ΔTIS) caused by internal emissions, leakage, or external interferers.
KPIs that matter (and map to real UX)
- EIS / TIS vs interferer power (ΔdB at fixed PER/BLER target)
- Throughput & BLER vs SINR with interferers present (CDFs, not single points)
- Latency/jitter distributions under traffic load + coexistence
- Blocking, ACS, IM3 rejection: OTA analogues of conducted metrics
- EVM degradation of the wanted signal vs the interferer scenario
Rule of thumb: publish the desense curve—EIS degradation vs interferer level—per scenario. It’s the quickest way to compare designs and sites.
Architectures for reproducible tests
Anechoic (MPAC/CATR) with Controlled Injectors
- Pros: Deterministic angles/polarisation, precise power at DUT.
- Use: Adjacent/co-channel blocking, angle-of-arrival studies, beam vulnerability.
Reverberation Chamber (RC)
- Pros: Fast, statistically rich, excellent for throughput robustness under multi-radio stress.
- Use: High-volume coexistence sweeps, production screening, “will it break” regressions.
Hybrid is common: characterise mechanisms in anechoic → harden designs and vendors with RC stress tests.
Interferer menu (cover the real world)
- Co-channel NR: same band, same SCS/BW; wanted vs interferer PRBs overlap.
- Adjacent-channel NR: set Δf and ACLR/ACLR′ masks.
- Wi-Fi 6/6E/7: 80/160/320 MHz OFDM OBW near FR1/6 GHz devices.
- Bluetooth Classic/LE: advertising vs data; duty cycles that hit LNA AGC.
- UWB: short bursts with high PAPR; test ranging-on + 5G Rx.
- Zigbee/LoRa: narrowband blockers; watch intermod with 2.4 GHz/BLE.
- CW tones: worst-case blockers and 2-tone IMD diagnosis.
- Self-jammers: on-device TX (Wi-Fi hotspot, NR uplink bursts) that desense own Rx path; include CA 2CC/3CC/4CC and hotspot tethering.
Vary modulation, duty cycle, bandwidth, polarisation, AoA, and time alignment (co-existence managers often depend on MAC-level arbitration).
Power at the DUT: calibration you can defend
- Conducted reference: validate generator level & waveform EVM.
- OTA transfer function: measure path loss from interferer antenna to DUT phase centre using a calibrated probe/reference.
- Set-and-lock: drive interferer to achieve Pin(DUT) within ±0.5 dB at each frequency/angle.
- Log environment: temperature, chamber state, stirrer speed (RC), positioner pose (anechoic).
Without traceable power at the DUT, desense curves are meaningless.
The core experiment (repeatable, portable)
Step 0 – Baseline
Measure EIS/TIS and throughput/BLER for the wanted link alone.
Step 1 – Add an interferer
Enable one interferer at a defined Δf / bandwidth/duty cycle / AoA. Sweep Pin(DUT), e.g., from −90 to −30 dBm (or RC field strength equivalents).
Step 2 – Record Δ
At a fixed PER/BLER target, compute ΔEIS (dB) vs Pin. Repeat for 2–3 SINR anchors.
Step 3 – Build the matrix
Expand across interferer types, angles, polarisations, and device orientations (hand/head, wall/ceiling for CPE).
Output
A desense surface: ΔEIS(Pin, scenario) + throughput/latency CDFs per scenario. This becomes your regression dashboard.
Self-desense diagnostics (the silent killer)
Symptoms: good conducted specs, mysterious OTA fails when another on-board radio or display/PMIC is active.
Checklist:
- Time-correlate sensitivity dips with internal TX bursts or digital activity.
- Near-field scan around antennas, display ribbons, and PMIC inductors.
- Mode sweep: Wi-Fi tethering, BT audio, UWB ranging, GNSS+NR DL, CA uplink.
- Mitigation trials: ground stitching, filter swaps, shielding foils, DC-DC frequency plan changes, antenna isolation tweaks.
Capture before/after desense curves to quantify fixes.
Throughput correlation (don’t stop at sensitivity)
- Compute effective SINR including desense (noise rise + interference coupling).
- Plot Throughput vs effective-SINR with and without interferers; compare error bands to field logs.
- In RC, pair with coexistence traffic (e.g., saturated Wi-Fi AP near the DUT) to emulate real contention.
Uncertainty & repeatability (what to publish)
- Contributors: OTA power uncertainty, chamber field uniformity, positioning, instrument linearity, reference antenna factor, and temperature drift.
- Report: Expanded uncertainty (k=2) for EIS and interferer power; attach calibration certificates and daily quick-check logs.
- Golden setup: lock DUT build, seeds, profiles, calibration files; exchange across sites for cross-lab correlation.
Automation that scales
- Script interferer sweeps (type, Δf, duty, power), wanted-link traffic, and logger hooks (KPIs, spectrum snapshots).
- Export single-file bundles (configs + results + environment) so vendors/partners can replay.
- Produce one-click reports: desense curves, KPI CDFs, uncertainty tables.
Common failure signatures (and quick fixes)
- Cliff at specific Δf: front-end filter skirt or duplexer leak → verify mask, try steeper filters/isolation.
- Only at high duty cycles: LNA AGC or baseband overload → adjust AGC timing, baseband clipping margin.
- Uplink collapses when Wi-Fi is on: PA supply droop/PMIC noise → re-plan DC-DC frequency, add decoupling/shielding.
- Great EIS, poor throughput: MAC/stack coexistence arbitration → tune coexistence manager and retry with realistic traffic models.
Procurement & lab build checklist
- Interferer sources: NR/Wi-Fi/BLE/UWB/Zigbee/LoRa generators with precise power control and APIs.
- OTA plumbing: calibrated antennas, combiners/couplers (for conducted baselines), low-leak feedthroughs.
- Chamber capability: anechoic (angle/pol control) and/or RC (fast statistical stress), with field calibration kit.
- Power-at-DUT metrology: reference probes, path-loss calibration, temperature logging.
- Lifecycle: drift monitoring, re-cal kits, SLAs, spares; portable test scripts and golden DUTs for cross-site correlation.
Coexistence/desense is not a side test—it’s the test that aligns lab results with the real world of crowded spectra and multi-radio platforms. Make power at the DUT traceable, design scenario-rich sweeps, publish uncertainty, and automate the workflow. Your reward: devices and networks that keep their promises—even when the air is full.