Keysight deploys AI in 5G testing tools

Keysight Technologies has developed a new AI-based testing feature for testing the performance of 5G on smartphones.

The new feature was added to its Nemo Device Application Testing Suite, and will allow AI-based assessment of device/app interactions.

“Service providers and mobile app developers need a reliable way to verify the real end-user experience of accessing over-the-top (OTT) applications from a smartphone connected to the cellular network,” said Matti Passoja, head of Nemo Wireless Solutions at Keysight, in a statement.

 "Keysight combines a unique set of in-house software technology solutions to create an automated app test method that uses real applications to provide more accurate insights into the network performance, even under the most complex and dynamic circumstances."

Keysight said that the new solution uses AI, machine-learning and automation and relies on data captured by a native mobile app, as opposed to simulated data traffic.

According to the company, the new test method “enables wireless service providers to rapidly optimize 5G network performance and deliver a greater quality of experience (QoE) for smartphone users accessing some of the world’s most widely used OTT services and social media applications, including Facebook Messenger, Microsoft Teams, Snapchat, TikTok, and Zoom.”

The new automated test app method is one of three complementary test methods available within Keysight's Nemo Device Application Testing Suite, the company said.

“Depending on the type of the mobile application and the key performance indicators (KPIs), a specific test method is used in combination with a companion Nemo field test solution,” Keysight said.