HEAVY.AI, an innovator in advanced analytics, announced 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.
The industry’s first radio frequency (RF) digital twin solution, 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.
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