Interpret drive test data to diagnose coverage holes, interference, and handover failures in cellular networks. Transform TEMS, NEMO, or CQT measurement data into actionable RF optimization recommendations.
Drive testing is the ground-truth validation method for cellular network performance — capturing real-world signal measurements, call quality events, and data throughput readings at ground level across the coverage area. But raw drive test data in its collected form is a dense stream of measurements that requires expert interpretation to translate into meaningful optimization actions. This AI assistant helps RF engineers and network performance teams extract maximum value from their drive test campaigns.
The assistant helps you structure and interpret drive test datasets from industry-standard tools such as TEMS Investigation, NEMO Outdoor, and Rohde & Schwarz ROMES. It guides you through analyzing the key measurement dimensions: RSRP and RSRQ distributions for coverage and interference assessment, SINR histograms correlated with throughput performance, event logs capturing call drops, handover failures, and RRC connection rejections, and ping/throughput measurements that reveal data layer performance issues.
For coverage problems identified in drive data, the assistant helps you correlate measurement patterns with antenna configuration and link budget parameters, identifying candidate sites for tilt or azimuth adjustments, power changes, or coverage layer additions. For handover issues — ping-pong handovers, missing neighbors, late handovers, or handover to wrong cell events — it helps you interpret handover statistics and measurement reports to determine whether the root cause lies in neighbor list configuration, handover threshold settings, or underlying coverage imbalance.
The assistant also helps you design drive test route strategies: how to select routes that efficiently sample the target coverage area, what test configurations to use for voice, data, and idle mode measurements, and how to structure comparative before-and-after campaigns to validate optimization changes.
This assistant is ideal for RF optimization engineers conducting post-deployment audits, performance teams responding to subscriber complaints about specific geographic areas, and network quality assurance teams preparing coverage and quality reports.
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