- Rohde & Schwarz has won a contract to supply instruments for the Electronic Engineering IoT living lab at the Danish University of Aalborg.
The IoT living lab is at the heart of the Danish University’s electronics engineering education. It allows technical teams and students to conduct experimental projects on the Internet of Things (IoT).
“We have made a significant investment to equip our IoT laboratory that fully meets the expectations of future IoT experimental projects in close collaboration with our industrial partners. Rohde & Schwarz has distinguished itself with outstanding quality, service and measurement performance. Its intelligent and connected test solutions offer specific features to help teachers guide the learning experience,” said Professor Preben Mogensen, Head of the Department of Wireless Communication Networks at the University of Aalborg.
“In 2018, we were often challenged during our experimental IoT monitoring and measurement campaigns. Wireless device performance and IoT equipment power management issues were monitored, but we did not have the necessary equipment to measure some essential details and the impacts of critical parameters on IoT device performance. With Rohde & Schwarz instruments, we are now able to measure the critical performance of IoT devices at a new level of technical knowledge crucial to our research and recommendations to the IoT industry,” explains Per Hartmann Christensen, head of technical personnel in the Wireless Networks department.
The University of Aalborg equipped the IoT laboratory with an R&S RTO2034 oscilloscope (4 channels, 3 GHz), two R&S RT-ZVC04 power analysers, R&S CMW-Z10 shielded boxes, R&S CMW-Z10 test sequencer software, R&S TSME6 radio scanner, 38 GHz downconverter and R&S SMBV100B 6 GHz vector signal generator. The battery life of IoT devices can be evaluated with the R&S RTO2034 oscilloscope.
The Danish University also implemented Rohde & Schwarz’s R&S CMW290 and CMWrun software solution in conjunction with the R&S RT-ZVC04 power analyzer to streamline the testing of C-IoT devices in real time. This software automates and displays the time-based energy distribution of C-IoT devices in realistic operating mode.