Industrial Radio Lab Dresden and Rohde & Schwarz Team Up on Industry 4.0

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The Industrial Radio Lab (IRL) Dresden is dedicated to researching and testing radio systems for industrial applications. Together, in cooperation with Rohde & Schwarz, who has provided its high-performance network scanners, they have launched an effort to provide research that will enable industry 4.0 use cases such as mobile robots or automated guided vehicles. 

The scanners monitor distributed real-time radio spectrum and interference monitoring allowing researchers to gather important data on how to detect, locate and prevent interference and to keep a local spectrum band clear for reliable wireless connectivity. One targeted usage of the research is providing ultra-reliable low latency communications (URLLC), ideal for private campus network deployments using 5G NR technology. As a leading provider of 5G NR test solutions, Rohde & Schwarz, brings its expertise in the latest enhancements specified in 3GPP Release. 

“Industrial campus network deployments, whether based on private spectrum or provided through network slices from a public operator, generally establish a demanding use case scenario,” Anne Stephan, Vice President Mobile Network Testing at Rohde & Schwarz said. “By partnering with a leading research institute like the IRL Dresden we not only support fundamental research, but gain first-hand insights that we can use to adapt our leading mobile network testing solutions for Industry 4.0.” 

IRL Dresden is one of the four regional labs of the Industrial Radio Lab Germany (IRLG) that engages in research and development of current and future wireless technologies in industry. The IRLG creates innovations, supports companies, and collaborates with stakeholders in economy and politics to ensure knowledge transfer towards a digital society. IRL Dresden has a particular focus on detection, localization, and mitigation of interference and improving network resilience through real-time measurements of time-variant channels and cooperative spectrum sensing.

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