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Mobile network coverage audit: complete methodology and deliverables

How to conduct a professional mobile network coverage audit: preparation, field methodology, KPI indicators, post-processing analysis, and deliverables for telecom operators.

Takwa Sebai
Takwa Sebai
Founder & CEO, HiCellTek
March 1, 2026 Β· 6 min read

A mobile network coverage audit is a structured mission whose objective is to objectively evaluate the quality of radio service delivered to subscribers over a defined geographic area. Whether conducted for internal needs (optimization), regulatory compliance (national telecom regulators), or contractual purposes (operator/subcontractor SLA), it follows a rigorous methodology. This guide presents the end-to-end process.

Types of mobile network coverage audits

Regulatory compliance audit

National regulators impose on operators the obligation to demonstrate network coverage according to defined criteria:

  • Percentage of population covered (> -100 dBm 4G)
  • Coverage of main road axes
  • Indoor coverage in inhabited areas

Regulatory audits require standardized measurements, performed according to defined protocols, with calibrated equipment and reports in specific formats.

SLA performance audit

Between an operator and a subcontractor (integrator, equipment vendor), SLAs define performance commitments to validate during commissioning:

  • Minimum coverage over the contractual area
  • Median RSRP >= X dBm over Y% of the area
  • DL throughput >= X Mbps in Z% of measurements

SLA audits are triggered at site acceptance or after a major network update.

Optimization audit (internal)

Internal audits are conducted proactively by the network optimization team to:

  • Identify degradation zones before subscriber complaints
  • Validate the impact of maintenance or optimization interventions
  • Prepare arguments for vendor negotiations

Phase 1: Scope and objectives definition

Audit specification

Before starting, formally define:

Geographic area:

  • Precise delimitation (GeoJSON polygon, list of municipalities, area around a site)
  • Surface area in km2
  • Zone type: dense urban, suburban, rural, industrial, tourist

Technologies to measure:

  • LTE only (2G/3G included or not)
  • 5G NR (NSA or SA)
  • Multi-operator (benchmarking)

Indicators to collect:

  • Radio coverage (RSRP, RSRQ, SINR)
  • Performance (DL/UL throughput, latency)
  • Voice quality of service (VoLTE MOS)
  • Accessibility (CSSR)
  • Signaling (L3 messages)

Expected deliverables:

  • Coverage map (heatmap per indicator)
  • Descriptive statistics (median, P10/P90 percentiles)
  • List of degraded zones with GPS location
  • Executive report (actionable recommendations)
  • Raw data (CSV, QMDL)

Measurement route planning

For a comprehensive coverage audit:

  • Road axes: all main roads (highways, national roads, expressways)
  • Residential areas: grid pattern routes in dense housing zones
  • Industrial/commercial zones: routes covering major business areas
  • Targeted indoor: walk test in buildings identified as critical (hospitals, train stations, shopping malls)

Density rule: in urban areas, target one measurement point every 50-100 m (approximately 100-400 measurements/km2).

Phase 2: Field data collection

Drive test protocol

Recommended duration: 1h-4h depending on surface area (approximately 15-25 km2 measurable per drive test day in urban areas)

Capture parameters:

  • Sampling rate: 1 Hz minimum
  • GPS: active throughout the session, accuracy < 5 m
  • Active test scenario: continuous iperf3 DL (or 30s DL / 10s pause cycle)
  • L3 capture: enabled permanently

Startup checklist:

  • Terminal attached to the correct PLMN (verify IMSI and selected PLMN)
  • 5G NR active (verify serving technology at startup)
  • GPS accuracy < 5 m (wait for full GPS fix before starting)
  • Capture session started (verify recording in progress)
  • iperf3 scenario active (verify iperf3 server accessible)

Indoor walk test protocol (if applicable)

For buildings to measure:

  • Duration: 30-90 min depending on building size
  • Measurements per floor
  • Stationary points in critical zones (3 min minimum)

Field data management

Recommended file naming convention:

AUDIT_{OPERATOR}_{ZONE}_{DATE}_{SESSION}.hlog
AUDIT_{OPERATOR}_{ZONE}_{DATE}_{SESSION}.qmdl

Example: AUDIT_OrangeFR_Paris13_20260301_S01.hlog

Phase 3: Data processing

Import and quality verification

Verifications to perform:

  1. Number of GPS positions (consistent with session duration?)
  2. GPS gaps (location absences > 30 seconds β€” unlocated segments to exclude)
  3. Technology distribution (% LTE, % 5G NR, % 3G/2G)
  4. Number of RSRP measurements < -115 dBm (values probably out of coverage β€” exclude or process separately)
  5. Duration of iperf3 tests (temporal coverage of throughput tests)

KPI statistics calculation

For each indicator, calculate:

  • Median (P50)
  • P10 percentile (worst 10% β€” represents degraded user experience)
  • P90 percentile (best 10% β€” represents network potential)
  • Minimum and maximum
  • Percentage of measurements below critical thresholds

Typical reference thresholds:

IndicatorTarget (P50)Degraded threshold (P10)
LTE RSRP (dBm)> -90> -105
5G NR RSRP (dBm)> -85> -100
SINR (dB)> 12> 3
LTE DL throughput (Mbps)> 20> 5
5G NR DL throughput (Mbps)> 80> 20
Latency (ms)< 30< 80
VoLTE voice MOS> 4.0> 3.5

Results mapping

RSRP map: interpolated heatmap (IDW or Kriging) over the audit zone. Overlay measurement points to show sampling density.

SINR map: particularly useful for locating interference zones (low SINR despite adequate RSRP).

Throughput map: identify bottleneck zones (low throughput despite good radio coverage β€” capacity problem).

Serving cell map: to identify ping-pong zones or aberrant coverage patterns.

Phase 4: Analysis and recommendations

Identification of problem areas

For each zone identified as degraded (RSRP < -100 dBm or SINR < 5 dB):

  1. Precise location: polygon or list of GPS coordinates
  2. Characterization: zone type (residential, commercial, industrial, road axes)
  3. Subscriber impact: estimated number of subscribers in the zone (if demographic data available)
  4. Root cause hypothesis: coverage (site distance), interference (low SINR despite adequate RSRP), handover (technology transition)
  5. L3 verification: L3 messages captured in the zone (handover failures? NAS rejects?)

Action prioritization

Classify problem areas by priority:

  1. Critical: severely degraded zones (RSRP < -110 dBm, or CDR > 2%) with high subscriber traffic
  2. High: degraded zones (RSRP -100 to -110 dBm) with operational or regulatory impact
  3. Normal: marginal zones, limited impact, actionable within the standard optimization plan

Deliverable report structure

Executive report (5-10 pages)

Section 1 β€” Summary: overall network status, zones of excellent coverage, identified problem areas

Section 2 β€” Methodology: equipment used, dates and scope, measurement protocols

Section 3 β€” Results by indicator: statistics tables + maps

Section 4 β€” Problem areas: prioritized list with GPS location

Section 5 β€” Recommendations: proposed actions, expected gain per action

Technical appendices

  • Raw CSV files (one per indicator)
  • QMDL files for the vendor
  • Metadata (session list, equipment, software versions)

Delivery format

  • PDF: executive report for management and client
  • Excel/CSV: KPI data for technical teams
  • QMDL: raw traces for vendor tickets
  • GeoJSON: geolocated problem areas (integration into planning tools)
  • KMZ/KML: for visualization in Google Earth / GIS

Conclusion: the coverage audit as a continuous management tool

A coverage audit is not a one-off exercise β€” it should be integrated into the continuous optimization cycle of the mobile network. Operators who measure regularly (monthly in critical zones, quarterly across the entire territory) have significantly better-performing networks than those who measure reactively (only after subscriber complaints).

The reduction in field measurement costs β€” enabled by professional Android tools β€” makes this continuous monitoring approach economically viable, even for teams with constrained budgets.

Further Reading

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Takwa Sebai
Takwa Sebai

Founder of HiCellTek. 15+ years in telecom, operator side, vendor side, field side. Building the field tool RF engineers deserve.

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