Anritsu Corporation is pleased to announce availability of a new solution for evaluating video quality of 5G devices. This lab-based solution was developed in partnership with Spirent Communications plc (LSE: SPT), and leverages the strengths of Anritsu’s SmartStudio NR Network Simulator and Spirent’s Umetrix Video software, providing the world’s first integrated 5G video quality system.
Development Background
The accelerating shift from 4Gto 5G mobile communications as well as increasing adoption of teleworking are driving increased viewing of streamed video content as well as growing use of online meeting tools. As a result, the video-quality experience is a key factor influencing user’s’ choice of 5G mobile operator and smartphone brand. Consequently, mobile operators, 5G device vendors, and content providers urgently need a solution for evaluating the video quality of 5G devices.
Integrated Solution
This solution integrates Anritsu’s Radio Communication Test StationMT8000Aand SmartStudio NR (SSNR) control software with Spirent’s Umetrix Video system for evaluating video quality.
The MT8000A operates as a 5G Call Box by simulating a 5G base station and core network using a state-machine-based GUI. Users can simulate a full range of 5G network conditions including both Standalone (SA) and Non-Standalone (NSA) topologies at FR1 or FR2 frequencies, all without creatingprotocol scripts. Testing of throughput, mobility, VoNR, EPS-Fallback, SMS, CMAS, CDRX, and other functions can be easily performed using SSNR’s GUI.
SSNR’s flexible network settings as well as its simple reproduction of a live 5G network environment facilitate easy and effective analysis of video quality. Moreover, support for many APIs accelerates configuration of customer’s automation environments.
Spirent’s Umetrix Video evaluation system measures the receive-side quality of streamed video contents by scoring QoE (Quality of Experience) using Video Mean Opinion Scoring (V-MOS) from only receive-side. It supports video-streaming services and video-content analysis by scoring the original video without prior display, facilitating faster and lower-cost repeatable design tests, regression tests, and competitor benchmarking.
