Autonomous RF drive testing
Collect repeatable, route-based RF measurements in the field without a one-off manual test campaign for every investigation.
Offering
Autonomous RF measurement and centralized analysis for private LTE/5G networks.
Measure at the edge. Analyze centrally. Act with better RF evidence.
Detect degradation. Isolate causes. Act faster.
Private wireless networks generate RF performance data continuously, but engineers often still move between tools, measurements, maps, reports, and field activity to determine what is degrading and why.
An integrated RF assurance workflow: measure in the field, process centrally, then give engineers evidence they can act on.
01
Collect repeatable RF measurements through autonomous field testing.
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Centralize and process RF measurement data.
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Identify degradation, coverage changes, interference patterns, and performance trends.
04
Correlate RF evidence to narrow likely causes.
05
Give engineers better evidence for troubleshooting and operational decisions.
Collect repeatable, route-based RF measurements in the field without a one-off manual test campaign for every investigation.
Measure core RF quality indicators together so a shift in one metric is interpreted in the context of the others.
Connect RF conditions to service impact so engineers can see whether users and applications are likely being affected.
Place RF performance on the route and coverage area so degradation is visible in location, not only in a KPI table.
Identify abnormal shifts in RF performance before the issue is only visible after a user complaint or field visit.
Surface RF conditions and patterns consistent with interference or degraded signal quality.
Track RF degradation and repeating conditions over time so teams can distinguish emerging issues from chronic ones.
Process and analyze RF measurement data centrally. Edge collection does not mean all analytics stay in the field.
Present the evidence behind a suspected issue so engineers can decide what to investigate or dispatch.
Edge means RF measurements are collected, and may be preprocessed, close to the network or field environment. Analysis is centralized. The offering is not purely local, and it is not a generic hosted dashboard.
Planning and assurance, two different disciplines. Predictive network design draws on industry-standard modeling tools, iBwave for indoor deployments, Atoll for outdoor and macro networks, eino across both. Assurance work is different: it's not prediction, it's measurement. That's why we built our own instrumentation, so what you get from an assurance engagement reflects direct field measurement of what your network is actually doing.
Edge RF Assurance is one Milewire offering. It is engineer decision support for RF and RAN teams — not a replacement for RF expertise, an NOC monitoring product, or autonomous radio remediation.
Edge RF Assurance
Autonomous RF measurement and centralized analysis for private LTE/5G networks — field instrumentation for direct, first-party measurement.
RAN Operational Readiness
Governance, procedures, and operational documentation for private wireless network teams.
01
Collect RF conditions from the field.
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Assemble the RF picture in one place.
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Narrow likely causes for investigation.
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Define how the organization should respond.
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Act with a consistent operational path.
RF assurance identifies what is happening. Operational readiness defines how the organization responds. Edge RF Assurance and RAN Operational Readiness are coordinated capabilities: RF evidence, then a defined operational response.
Request a walkthrough of autonomous RF measurement, centralized analysis, and the evidence path engineers use to investigate degradation.
During the walkthrough you'll see: