AT & t use an advanced video game feature to improve your phone coverage

When you think about Cellular networksRadio towers and invisible data flows may imagine. but AT & TNecessarily, it needs to see everything between: buildings, trees and many obstacles that can interfere with the wireless signals that reach your phone.

The cellular provider turns into a major technique of gaming and computer graphics for a precise image. AT & T Wireless Geo Modler is a new system that uses radiology tracking and AI to create detailed representations of the areas covered by their network and improve communication. By doing this, AT & T says it can interact with the service interruption quickly and also predicts better how to form its network in response to major social events or during natural disasters.

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How to track the beam in a cellular context

In computer graphics, Ray Trading is a technique to present 3D scenes. The program mimics the symptoms of light emitted from a virtual camera and calculates how light affects objects and materials in the scene. The beam tracking is noticeable for serving shadows and repercussions, which leads to more realistic environments.

In the past, the beam tracking was a mathematical challenge. Early examples, such as the original game story, require rooms full of processing processors and up to 24 hours to present one frame of shots. The graphics processor in the upscale Smartphones Realistic scenes that follow the rays in the games can now be made in actual time.

According to Velin Kounev, an innovative major world at AT & T Labs, the cellular application of technology works in the same way. “Whatever Nafidia’s games do, no matter how Disney he does … we do much larger,” he said.

Kounev explained that the radio spread of cellular constellations is a high -frequency light that our eyes cannot see. The constellations measure how the rays interact with the surrounding environment, such as collision with structures or thinking about surfaces. This collected and analyzed data is processed by many internal AT & T systems and automatic learning models to determine whether changes or improvements need to be made, while AT & T is “near domain time”.

These changes can include daily adjustments to the angle of nearby antennas or compensation for the tower that was not contacted during the natural disaster. The modifications can be published automatically in seconds or minutes, perfectly in a way that does not affect customers.

“We do not want (customers) to notice,” said Jennifer Yates, Assistant Vice President of Innovative Sciences, Networks and Automation of Service at AT & T Labs. “The network is self -healing (and) independent behind the scenes so that they do not have to think about it.”

The benefit can also be a technical challenge that you will never notice as an AT & T subscription. “When you press Tunnel Lincoln at 5 pm, you can download your website, when we come,” Kounev said. “We improve network traffic … in the peak hour, where you can get your connection.”

Predicting the place of deployment of resources

Although the daily network improvement is one of the advantage of using Geo Modeler, it is also a tool to determine how the company is publishing on resources during situations such as weather events. For example, if a prominent tree is detonated during the storm, then the rays can quickly build a new representation of how to compensate the towers.

For big events such as music festivals, where tens of thousands of phones reach the network or imminent natural disasters, technology can be used to predict the upcoming changes required; Kounev mentioned Geo Modeler in April at the Coachella Festival.

Kounev also explained that if the hurricane is coming, for example, knowing its estimated size and timing, “We can enter and within two minutes, remove (within the model) the constellations that we believe will be affected, then we see how the network coverage will look like.” Knowing a place where you expect to expect holes in the network allows AT&T resources, such as generators or mobile cellular towers, in place before the hurricane strikes.

Kounev said that most predictive tools depend on the current measurement data. “Since we use rays tracking, we can predict places where there is no measurement data.”

AT & T build Geo Modler for a year, and has collected enough data from different cases during that time to be confident in spreading it on a wider scale. Yets said that AT & T conducted the authenticity of the data and compared the results of the models with the measurements in this field.

“During the past year, we had to convince people that this thing could actually work in an actual time with many of the tower stations they have,” Konyev said.