• Virtual Drive test concept applied to a powerful channel emulator
  • Emulates multi-path, doppler shifts and all other effects of signal propagation
  • Add building data of real cities to run drive tests without leaving the lab


Knowledge about channel models is not necessary to run tests with the QPER Channel Emulator. It applies the visualised virtual drive test concept, which is also used in the handover tester, to a fully fledged channel emulator: The tester outlines the network layout on the screen and defines a drive test route on the map. While running a simulated drive test, all channel effects are automatically calculated by QPER and applied to the channel emulation hardware.

Simulates all relevant propagation effects

The QPER virtual drive test software models all relevant signal propagation effects:

  • path loss
  • propagation delay
  • Doppler shift and Doppler spread
  • multipath fading
  • phase shift
  • noise and interference

These features offer engineers the opportunity to create simulation scenarios with real world channel conditions. The user created scenery with its channel conditions is applied to a digital channel emulator hardware to recreate real life conditions in the laboratory.

Drive test simulation for real cities based on building dataPredicted Drive Test

Besides the virtual drive test concept, QPER even offers a predicted drive test expansion that allows to predict signal propagation and to perform virtual drive tests through real streets. Real building data and topographical data can be uploaded into the GUI. Radio propagation effects are calculated based on a ray tracing mechanism. Thus, QPER Channel Emulator facilitates exact, repeatable simulations of drive tests through real cities without leaving the lab.

Azimuth ACE MX powered by QPER

QPER Channel Emulator software is fully compatible with Azimuths Field-to-Lab interface and therefore easily integrated on the Azimuth ACE MX MIMO Channel Emulator. It provides a rock-solid yet sophisticated platform to develop new network models validate devices, and predict network performance.


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