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Anite Virtual Drive Testing Toolset

Device:Test Instrument

Vendor: Keysight Technologies

Overview

1. Description of the product Keysight’s CMCC High Speed Train test solution based on the Virtual Drive Testing Toolset (VDT Toolset) Simulated Network (SN) uses network signaling and RF propagation log data captured from the mobile operator field network, to create realistic mobile device performance testing in a laboratory environment. The High Speed Train solution enables mobile operators to validate a mobile device’s real performance across vast range of other mobility scenarios in city, urban, vehicle and indoors, including high-speed train scenarios. VDT Toolset SN uses typical end-user applications to test and collect key performance indication metrics on mobile device performance (e.g. voice calls and data transfer ftp, web browsing, etc.). 2. Differentiation and advantage Keysight’s Virtual Drive Testing Toolset is the only solution that supports the mobile operator’s recently launched mandated test plan that enables device manufacturers to verify device performance under challenging high mobility conditions prior to market introduction. VDT Toolset SN uniquely combines the emulation of dynamic field network 3D geometry based spatial RF propagation conditions and network signaling conditions in a controlled laboratory environment. Keysight has integrated its Propsim F32 channel emulator, the Anite 9000 network simulator and Nemo drive test tools to create a field-to-lab type of solution that incorporates signaling, cell parameters as well as dynamic 3D geometry based spatial RF channel conditions. 3. Target market China Mobile has developed the TD-LTE mobile terminal test plan together with Keysight to improve end-users’ quality of experience when travelling on high speed trains. VDT Toolset SN is the only solution at the moment that supports this recently launched mandated NS-IOT test plan. Users are able to make considerable cost-savings in the development and deployment phases by reducing the required field-based testing and instead adopt a repeatable lab-based testing methodology that uses realistic field network conditions.

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