When you think of cellular networks, you probably imagine radio towers and invisible data streams. However, AT&T, with the requirements, all of them will see: building, trees and lots of obstacles that can interfere with wireless signals on your phone.
The cellular supplier is leaning toward a key technology from gaming and computer graphics to get a proper picture. AT&T Wireless Geo Modella is a new system that uses ray tracing and AI to create detailed presentations of the regions under its network and improve connection. By doing this, the AT&T says it can respond quickly to service barriers and predict how to configure its network during the response to larger social events or how to configure its network during natural disasters.
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How does ray tracing work on a cellular context
AT&T’s GO Modelle uses ray tracing and other data to create a 3D model in the surrounding area of a cell towers.
In computer graphics, Ray Tracing is a strategy for rendering the three-dimensional scene. The software mimics the light beam originated from the virtual camera and calculates how the scene affects the light objects and materials. Ray Tracing is notable for shades and reflection rendering, which leads to the more realistic-cheating environment.
In the past, Ray Tracing was countingly challenging. Initial examples like the original Toy Story movie, the processing hardware full rooms and the required rooms for 24 hours to render the single frame of the footage. The graphics processor on the high-end smartphone can now render the photorealistic, re-passed scenes in real time games.
According to the inventor scientist Valin Kohnov in the AT&T labs, the cellular application of technology works the same way. “Whatever is doing for the Nvidia Games, whatever Disney is … we’re doing in a much larger way,” he said.
In the context of AT&T’s Geo model, Kauve explained that radio promoting high-frequency lights from cellular towers that cannot see our eyes. The towers measure how the rays react to the surrounding environment, such as colliding with the structure or referring to the surfaces. These collected data are processed and analyzed by several internal AT&T systems and machine learning models so that the AT&T is “near the scale period” to determine if changes or optimizations need to be done.
These changes may include compensation for a tower that goes offline during the daily consistency or natural disaster in the nearby antenna corner. Changes can be automatically deployed in seconds or minutes, ideally in a way that does not affect customers.
“We don’t want [customers] To notice, “Jennifer Yeats, assistant vice president of innovative science, network and service automation in AT&T labs.” The network is self-healing [and] The autonomous is behind the screen so they don’t have to worry about it. ”
The advantage can also be a technical challenge that you will never notice as AT&T customer. “When you hit the Lincoln Tunnel traffic at five in the afternoon and when you can load your website, we come in,” said Kauvev. “We’re favorable to network traffic … Rush Hour, where you are able to get your connection” ”
To predict where to establish resources
Video game Destiny is rising on the iPhone 17 Pro Max. The phone supports Ray Tracing to create more realistic lighting, reflection and shadow, looks more immersed in the game.
Although daily network optimization is an advantage of using Geo Modella, it is a tool to determine how and where the resources should be set up in situations like weather events. For example, if a prominent tree is blown during the storm, the ray tracing can create a new representation of how to compensate the towers.
For large events like music festivals, where thousands of phone networks are accessing or entering the upcoming natural disaster, the technology can be used to predict the required changes; Count mentioned that Geo Modeler was applied to the Cocola Festival in April.
Cowav also explained that if a hurricane is coming, for example, knowing its estimated size and time, “we can go in and move in in two minutes [within the model] We think the towers are going to be affected, and then see how the network coverage is going to be “” The network of the network allows it and TK to set up resources like generators or mobile cellular towers before hurricane strikes.
Most predictable equipment, Kounov says, rely on the existing measurement data. “Since we use ray tracing, we can predict in places where there is no measurement data.”
AT&T has been making Geo Modella for a year and has collected adequate information from different uses in that period to be confident about deploying more extensively. Yeats said that the data of the AT&T field compared the model’s results with the measurement of the data.
Kauvev said, “In the past one year,” we had to convince people that this thing could actually work in real time with many of their towers stations. ”
