Network testing in private networks

Webinar: URLLC - how reliable are private 5G networks today?

This webinar discusses the performance and reliability of today’s private 5G networks. We compare different device types such as smartphones, industry modules with various chipsets included that are used for network testing.

Register now

Webinar: Verifying 5G enterprise networks – performance status based on real results

Register now for our new webinar "Verifying 5G enterprise networks – performance status based on real results" to get an insight into measurement and performance of 5G private networks.

More information

Video: Network testing in 5G private networks

Many organizations use private networks with 5G to exploit the full 5G capabilities while entirely controlling their network environment. The video shows how the Rohde & Schwarz network testing solutions resolve the private networks' requirements and empower 5G private network owners to ensure ideal quality and performance.

More information

Webinar: How network testing ensures 5G private network performance

Join this webinar to learn about the various aspects related to private network deployment scenarios today with solutions from Rohde & Schwarz.

More information

Webinar: Smart Factories - 5 phases of 5G network testing

Watch this webinar to discover how accurate and insightful testing at every phase of the mobile network to prepare, deploy and operate Smart Factories enables faster roll out, efficient use of network resources and delivery of demanding Quality of Service requirements.

More information

Video: How to verify 5G network deployment and operation in smart factories

In order to deploy and operate a 5G network in smart factories, this video shows the different test phases, which are necessary to support high reliability wireless connectivity in a smart factory.

Video: 5G network interactivity testing

With the interactivity test, operators can measure the fundamental 5G network performance characteristics of throughput, latency and continuity and derive network quality for real-time applications like eGaming and AR/VR in a single integrated test.

Video: Machine Learning - Anomaly Detection

What do Liverpool FC and mobile network quality analytics have in common? Find out by watching the video, and learn how the time-based anomaly detection feature in our analytics software SmartAnalytics helps you to detect and identify network issues instantaneously, providing effective guidance to network optimization.

Video: Machine Learning - Call Stability Score

The patent-pending Call Stability Score technology in our analytics software SmartAnalytics uses a machine learning/binary test-scoring concept that identifies risky areas proactively. Telephony service is not the ultimate priority for Smart Factories, but the binary test scoring concept itself can be adapted to other use cases.

Webinar: 5G NR for industrial applications

This webinar illustrates the 5G capabilities to support ultra-reliable low latency services available with 3GPP Release 15 and 16. Findings are presented from both a leading cellular test solution provider perspective as well as from the view point of a potential adopter of the 5G NR technology in its own factories.

Register now

Educational Note: Ensure high performance of private 5G networks

The educational note describes test methods and solutions to ensure high performance of private 5G networks for various new vertical use cases.

Download now

Network tests pave the way for smart factories

5G has everything future smart factories need for wireless connectivity, but network tests are essential.

More information

White Paper: Interactivity Test

Learn how to simultaneously measure the fundamental performance characteristics of 5G mobile networks.

Register now

Blog post: Machine learning: Anomaly detection

Anomaly detection is a much-appreciated tool by data scientists. It aims to find anomalous samples or outliers and it provides valuable insight into mobile network quality and performance.

More information

Blog post: Machine learning - Call Stability Score

In this post, we will demonstrate how we can leverage Machine Learning to extract more value out of the data. For this, we will use the practical use case of measuring the call drop ratio.

More information