Internet of Things News
Internet of Things Resources
February 1, 2019
Around 2012, when Jon Hirschtick, John McEleney and a few other former SolidWorks executives decided to launch a cloud-hosted CAD startup, they were betting on a vision of ubiquitous high bandwidth. “That’s the wave we were riding on; we knew bandwidth would improve over time,” recalls McEleney.
Within the last decade, affordable high bandwidth providers emerged to cater to modern households, allowing Netflix, Hulu and Amazon to challenge the broadcasting networks’ dominance with on-demand content streaming. The anticipated arrival of 5G points to more disruptions.
Hirschtick and McEleney officially released the public beta of their browser-based modeling application Onshape in 2015. It works on decent bandwidth, but it’s architected with the anticipation of high bandwidth. “You’ll definitely see performance increases when 5G hits, but the beauty of our position is, we don’t need to do any extra work to take advantage of it,” says McEleney.
5G’s benefits will trickle down not only to streaming applications but also to sensor-equipped digital twins, connected devices and cloud-straddling simulation programs; faster file transfer is just the tip of the iceberg.
“We are taking a progressive approach to rolling out 5G, beginning with super-fast broadband service in four markets in 2018, and will follow that with mobile 5G service, with plans to expand deployments in 2019 and beyond,” says telecom service provider Verizon.
For general consumers, 5G promises faster download, better streaming videos and smoother online game play. Though both Netflix and Onshape are cloud-hosted applications, there are some fundamental differences in how they stream—or, rather, in what they stream.
“We don’t stream CAD data as graphics, so, in that sense, it’s not like Netflix,” clarifies McEleney. “We send snippets of data, and we also stretch the application’s ability by tapping the user’s local machine’s GPU (graphics processing unit), be it a laptop, a phone or a tablet.”
Parametric CAD was historically written to run on powerful workstations, relying on the horsepower of the local CPUs and GPUs. Therefore, for those with flagship CAD products dating back to the Windows desktop era, updating the product to run on high bandwidth in the cloud is no small task. By contrast, Onshape wrote its architecture from the ground up for the cloud. The product is not installed; instead, it runs in a browser on a workstation, a tablet or a smartphone.
“The performance you get depends on your connection. For example, if you happen to be in a place without Wi-Fi, and you choose to tether to your 5G-enabled phone, you’ll get great performance,” explains McEleney. He predicts that the impact of 5G will be most notable the first time users load a model.
The Edge vs. Cloud Debate
Another company closely watching the arrival of 5G is PTC, which caters to connected product developers. It offers ThingWorx, an industrial IoT application development platform.
“For companies in the industrial IoT space, 5G means being able to deliver more data and faster speed, and being able to do more things on the edge,” says Rob Patterson, PTC’s VP of strategic marketing.
The edge device—a sensor-equipped device in the field—is usually designed with limited computing power and storage capacity. Therefore, in the era of limited bandwidth, it’s often a challenge to transfer the accumulated data back to the cloud or a network for centralized processing. The arrival of 5G promises to improve the edge-to-network data flow.
“5G gives engineers another option for communication,” says Ken Karnofsky, senior strategist for signal processing applications, MathWorks. “It gives you opportunities to create remote data-collecting devices in the field where there’s no local network to connect to but the mobile network, so 5G is an option for devices like that. For engineers, it’s important to figure out the data transmission goal, its implications on power consumption and cost.”
The ability to embed unprecedented processing power in small devices encourages edge processing (processing the collected data on or near the device). On the other hand, the ability to transmit vast amounts of data swiftly favors cloud processing (uploading the data from the device to a server environment for centralized processing). Karnofsky believes 5G might reinvigorate the edge vs. cloud debate among engineers and system designers.
Better for the Digital Twins and AR-VR
In July 2018, ABI Research published a report titled “Smart Manufacturing Platforms.” The firm gave PTC’s ThingWorx a top score in the report, citing “innovative initiatives across transformative technologies.”
ThingWorx is the centerpiece of PTC’s vision for digital twin implementation, so that manufacturers may maintain digital counterparts of real-world machines, equipment and products for diagnostics, analytics and predictive maintenance.
Digital twins are usually powered by condition-monitoring sensors attached to the physical products, be it a piece of farm equipment or a wind turbine. Therefore, 5G’s high bandwidth promises better linkage between physical products and digital twins.
“Applications built on our core IoT platforms like ThingWorx will be the first to benefit from 5G, because of the connectivity that lets the applications communicate with devices out in the field,” Patterson says.
PTC also owns Vuforia, which it acquired in 2015. The Vuforia division offers Vuforia Studio, Vuforia Engine and Vuforia Chalk solutions for developing augmented reality (AR) apps to use in manufacturing, sales and marketing, and service and maintenance.
“Our augmented reality products with Vuforia will benefit significantly from 5G,” Patterson predicts. “Apps on tablets and mobile devices that people use to consume AR content for workforce training or manufacturing, for example, will be able to deliver more compelling AR experiences.”
A Toolbox for 5G
Last year, MathWorks launched a new 5G Toolbox, aimed at those who need to model, simulate and test 5G communication systems. The 5G Toolbox is part of MATLAB R2018b, launched in September 2018. A programming environment, MATLAB includes a series of toolboxes to enable data analysis, deep learning and computer vision.
“5G Toolbox helps wireless design engineers manage increasing design complexity while reducing development time. They can now use the toolbox for link-level simulation, golden reference verification, conformance testing and test waveform generation—without starting from scratch,” the company says in a press release.
The toolbox includes reference models that engineers can use to build devices with 5G capacity. It also includes the ability to generate waveforms and test signals, which helps identify optimal placements of antennas and transmitters in mechanical assemblies and enclosures.
“When adopting 5G, wireless engineers need to verify that their product designs can conform or co-exist with a new, complex standard that will continue to evolve. Very few companies have adequate resources or in-house expertise to understand and implement a 5G-compliant design,” says Karnofsky.
When LTE networks became the latest standard, MathWorks also responded by releasing a LTE Toolbox in its software. “Having seen how LTE Toolbox has helped teams quickly deploy pre-5G designs in radio test beds, we anticipate 5G Toolbox will have a similar impact for the mainstream wireless market,” Karnofsky says.
Simulating 5G Communication
As product designers draw benefits from 5G, they’re also bound to be designing 5G-powered devices—IoT-enabled wearables, smart factory monitoring systems and field devices that receive and transmit data using 5G, for example. This trend represents both opportunities and challenges for simulation software developer ANSYS.
“For 5G, product designers will have to design and simulate more complex RF (radio frequency) systems,” says Shawn Carpenter, senior product manager, high frequency, ANSYS. “They’ll have to look at a broader spectrum of frequencies the product needs to accommodate. So they’ll have to design antenna systems and electronics that are more complex.”
In 2015, ANSYS acquired Delcross Technologies, a computer-aided engineering (CAE) software developer that specializes in high-frequency electromagnetic (EM) and radio frequency (RF) coexistence EMI (electromagnetic interference) analysis. Formerly employed at Delcross, Carpenter became part of ANSYS after the transaction.
“We’ve now implemented tools to model the interaction between millimeter-wave antennas and the physical environment,” Carpenter says. “This also applies to 5G, as this could let you evaluate beam formation.” Such tools will play an important role in autonomous vehicle development, where car-to-car and car-to-network communication outreaches must be part of the design considerations, he says.
The Demand for HPC
Sometimes smaller problems demand a great deal more computing power to solve. Designers working at nanoscale electronics have discovered this. “At the millimeter wave frequency [a feature of 5G], simulation problems get significantly larger,” Carpenter notes. “So what you were able to solve once on a desktop workstation may now need high-performance computing. We’re working on more efficient ways to solve simulation problems.”
Simulation ray bouncing behavior—a method for simulating frequencies—“maps quite well to the GPU, one of the areas we’re looking at for solving simulation more efficiently,” Carpenter says.
The use of the GPU’s parallel processing capacity lets simulation software speed up on certain types of simulation problems. ANSYS is among many developers who have struck up partnerships with leading GPU makers to facilitate GPU acceleration.
One of the simulation solvers in ANSYS’ portfolio is HFSS SBR+ (formerly Delcross Savant). The product is an advanced antenna performance simulation software, designed to address many 5G-related electronics design issues. This could, for example, help someone simulate the way energy propagates from a transmission device through a tower.