XCAP—Accuver’s post-processing and network analytics platform—continues to expand with new capabilities designed for today’s most complex test environments.

This edition highlights two major advancements that deliver deeper insights through building-floorplan mapping for in-building measurements and globe-based visualizations for NTN, enabling users to extract insights more easily across both satellite and indoor network evaluations.

Advanced NTN Analytics

To validate Direct-to-Cell (D2C) services, it is essential to analyze satellite–UE wireless data measured in real field conditions, and map the satellite and user device trajectories with the resulting KPI variations. This requires accurately positioning satellites based on precise TLE data, verifying connectivity as satellites move, and performing detailed analysis of network events and KPI behavior throughout the dynamic link path.

These workflows often lead to slow, inconsistent, and difficult-to-scale analysis.

XCAP now consolidates all NTN-focused analysis in a unified environment:

Satellite KPI Visualization

Enables easy reconstruction of satellite position, orbital movement, and observation KPIs by retrieving time-matched TLE data from the official Space-Track source

Satellite Link and Mobility Analysis

Visualizes which satellite the UE was connected to at each moment, and analyzes the conditions behind link retention or loss

Doppler Effect Analysis

Examines Doppler variation and correlates frequency shifts with satellite geometry

➡️ Read the full NTN analysis article

Automating Mixed-Terminal In-Building Analytics

In-building benchmarking becomes increasingly complex when logs from mixed terminals and multiple operators arrive with inconsistent timestamps or missing metadata. Engineers frequently lose time aligning measurements, classifying floors, and preparing comparison reports—slowing down the delivery of building-wide KPI insights.

XCAP automates end-to-end indoor workflows:

Consolidated Log Processing

Aligns mixed-terminal logs and applies in-building data when metadata is missing

Automated Floor Classification

Automatically separates measurements by floor for multi-story evaluation

Mixed-Terminal Delta Comparison

Generates unified KPI comparisons across terminals, floors, and operators

Spatial Binning

Creates zone-level KPI grids (RSRP/RSRQ/SINR) for clearer visual insight

Unified KPI Summaries

Delivers building and floor-level statistics across technology, signal strength, and coverage

➡️ Read the full In-Building measurement article

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