# Simulate an Accurate Radio Environment Using NVIDIA Aerial Omniverse Digital Twin

**URL:** <https://forums.developer.nvidia.com/t/simulate-an-accurate-radio-environment-using-nvidia-aerial-omniverse-digital-twin/355005>\
**Category:** Technical Blog\
**Created:** [December 17, 2025, 4:00pm UTC](https://forums.developer.nvidia.com/t/simulate-an-accurate-radio-environment-using-nvidia-aerial-omniverse-digital-twin/355005 "2025-12-17T16:00:33Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![jwitsoe](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/jwitsoe/32/16591_2.png) [@jwitsoe](https://forums.developer.nvidia.com/u/jwitsoe)\
**Post date:** [December 17, 2025, 4:00pm UTC](https://forums.developer.nvidia.com/t/simulate-an-accurate-radio-environment-using-nvidia-aerial-omniverse-digital-twin/355005/1 "2025-12-17T16:00:33Z")

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Originally published at: [Simulate an Accurate Radio Environment Using NVIDIA Aerial Omniverse Digital Twin | NVIDIA Technical Blog](https://developer.nvidia.com/blog/simulate-an-accurate-radio-environment-using-nvidia-aerial-omniverse-digital-twin-2/)  
   
The development of 5G and 6G requires high-fidelity radio channel modeling, but the ecosystem is highly fragmented. Link-level simulators, network-level simulators, and AI training frameworks operate independently, often in different programming languages. If you are a researcher or an engineer trying to simulate the behavior of the key components of the physical layer of 5G…