HEAVY.AI, an innovator in advanced analytics, is introducing HeavyRF, an extension of the company’s deep analytics platform that uses NVIDIA Omniverse to create digital twins that help telco network operators speed deployments of wireless networks.
HeavyRF enables telcos to simulate potential city-scale deployments as a faster, more efficient way of optimizing cellular-tower and base-station placements for best coverage.
“5G infrastructure is fundamentally very different from 4G infrastructure: It requires far more towers and antennas to provide the highest level of coverage and hence customer satisfaction. Because of that heightened demand, telcos can’t spend the same amount of time planning and locating each piece of 5G infrastructure,” said Jon Kondo, CEO of HEAVY.AI.
HeavyRF allows telcos to review historic and current network-performance data as they test site-configuration scenarios against physical impediments, such as trees and dense buildings. It uses GPU-accelerated analytics to seamlessly combine customer-demographic and behavioral data with real-time geophysical mapping.
HEAVY.AI also announced it is extending its collaboration with Charter Communications, the nation’s second largest cable provider.
With NVIDIA Omniverse, HeavyRF is instantly compatible with a large set of complementary tools for reality capture, as well as advanced antenna and network tools leveraging machine learning. These can be used to design networks even in complexly dynamic environments such as ports and to simulate software-defined networks down to the packet level.
“NVIDIA Omniverse is the ideal foundation for HEAVY.AI’s new HeavyRF module and digital twin application framework,” said Ronnie Vasishta, senior vice president of telecom at NVIDIA. “Omniverse is a development platform designed to help customers solve real-world problems with custom-built 3D and simulation pipelines—and with HEAVY.AI’s massive data analytics platform, telcos can virtually place 4G and 5G towers long before trucks roll in for installation.”
HeavyRF allows telcos to minimize site-deployment costs while maximizing quality of service for both entire populations as well as targeted demographic and behavioral profiles.
The module supports network planning and coverage mapping at unprecedented speed and scale. This can be used to rapidly develop and evaluate strategic rollout options, including thousands of microcells and non-traditional antennas. Simulations can be run against full-resolution, physically precise LiDAR and clutter data interactively at metro regional scale, which avoids downsampling needs and false service qualifications.
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