Our blog covers tips for using OnScale, new features and developments, and upcoming events and webinars. Subscribe and get the latest posts in your inbox.
In the rapidly developing world of Internet of Things (IoT), the radio frequency front-end (RFFE) of smart devices will have to handle higher data rates and access the full bandwidth of 4G/5G wireless technology. The reason for this, of course, is the growing demands of ubiquitous low latency data at higher operating frequencies required to accommodate enhanced data transmission capabilities and rapidly growing numbers of users.
Sensors are all around us. There are a dozen or so in your smartphone, and dozens more in your laptop, tablet, TV remote control and drone. There are perhaps hundreds in your car, thousands on commercial aircraft and reusable rockets, that will one day take us to the moon, mars, and beyond...
In this article, we will discuss how to understand and visualize correctly the results coming out of a PMUT ultrasonic sensor simulation in the OnScale Post-processing Mode.
Introduction The capability to do rapid design and virtual prototyping of Internet of Things (IoT) edge devices is a competitive advantage for companies seeking to make a big impact in emerging markets with as little up-front investment and risk as possible. Currently, this type of risk is mitigated by prototyping – an iterative process that can cost from $100k to $1M per foundry run depending on the complexity of the process. In addition, prototyping is time consuming and can significantly increase time-to-market. Simulation that can handle large-scale, real-world problems can reduce the number of prototyping iterations required, reducing cost, time-to-market, and mitigating the risks that come with developing new technology.