LAYER 04
NVIDIA Omniverse — Digital Twin Simulation
Predictive Network Planning & Optimization
Active Viewport — 3D Ray Tracing View
Base Stations (3)UEs (5)
OMNIVERSE RTX
1.2ms
Latency
98.4%
Coverage
Low
Interference
2.8 Gbps
Throughput
mmWave FR2 Configuration — Huawei AAU5613
Frequency
28 GHz / 39 GHz
Bandwidth
800 MHz
MIMO Elements
256 MIMO
Peak Rate
10 Gbps
Beamwidth
15°
Cell Range
300m
NVIDIA Omniverse Cloud
● Connected to Omniverse NucleusUSD Render
RTX Ray Tracing
USD Write
Scene Authoring
USD Query
Data Retrieval
Sensor RTX
LiDAR/Camera Sim
Kit Streaming
Web Delivery
OpenUSD
PhysX 5
AI Recommendations
What-If Scenario
Add 500 high-mobility UEs to Downtown core during peak hours.
Model Training Status
RF Propagation99%
Obstacle Avoidance72%
Business Impact
-25%
Projected CAPEX Reduction
Virtual validation reduces physical site surveys and hardware deployment risks by 40% in urban environments.
NVIDIA Omniverse Physical AI
AI Enterprise 6.0 · Physical AI · USD Pipeline
Omniverse Kit
Core SDK for building 3D applications
Omniverse Replicator
Synthetic data generation for ML training
Isaac Sim
Robot simulation and navigation
Audio2Face
AI-driven facial animation
AODT
Aerial Omniverse Digital Twin for telecom
Omniverse Farm
Batch rendering and compute orchestration
Pipeline Latencies
USD Composer1.1ms
Scene Manager0.9ms
Physics Engine0.6ms
Ray Tracing Core3.2ms
Material Pipeline2.0ms
12
Active Digital Twins
48
Robotic Simulations
11
Active Scenes
120
Render FPS