The AI-Native Radio Access Network
OranSense embeds AI directly into the RAN fabric — enabling real-time spectrum intelligence, autonomous interference management, and sub-millisecond edge inference across 5G and 6G deployments.
AI Embedded at Every Layer of the RAN
Traditional RAN architectures treat AI as an afterthought — a post-processing layer bolted on top of legacy signal processing. OranSense inverts this model. Our AI-RAN platform embeds machine learning models directly into the baseband processing pipeline, enabling real-time decisions at the physical layer without round-trips to the cloud.
Built on NVIDIA Aerial SDK and the O-RAN Alliance open interfaces, our AI-RAN stack is fully disaggregated, AI-native, and designed for the sub-millisecond latency demands of 6G use cases including holographic communications, tactile internet, and autonomous systems.
Core AI-RAN Capabilities
Six foundational AI modules that transform passive radio infrastructure into an intelligent, self-optimizing network layer.
Spectrum Sensing & Sharing
Continuous wideband spectrum monitoring with AI-driven dynamic spectrum access. Detect interference, identify spectrum holes, and coordinate sharing across licensed and unlicensed bands in real time.
AI-Native Beamforming
Deep learning models replace traditional codebook-based beamforming. Predict optimal beam directions from channel state information, reducing overhead and improving throughput by up to 40%.
Autonomous Interference Management
Identify, classify, and mitigate interference sources autonomously. From inter-cell interference to jamming detection, the AI layer acts before human operators can respond.
Predictive Resource Scheduling
ML-based scheduler predicts traffic demand and pre-allocates radio resources. Reduces latency spikes during peak load and improves QoS for latency-sensitive applications.
O-RAN xApp Integration
Native integration with the O-RAN RIC framework. Deploy custom xApps for network slicing, energy optimization, and QoE management through the open A1 and E2 interfaces.
6G Waveform Research
Experimental support for next-generation waveforms including OTFS, holographic MIMO, and reconfigurable intelligent surfaces. Accelerate 6G standardization with real hardware testbeds.
Open, Disaggregated, AI-First
The OranSense AI-RAN architecture follows O-RAN Alliance specifications with AI/ML enhancements at every functional split. The Near-RT RIC hosts xApps for sub-second control loops while the Non-RT RIC handles policy and model training. Our proprietary AI inference engine runs directly on the DU/CU, eliminating the latency penalty of cloud-based AI.
Deployment Use Cases
Private 5G Enterprise Networks
Deploy AI-RAN in factories, campuses, and venues. Autonomous optimization without dedicated RF engineers on-site.
Public Safety & Critical Infrastructure
Guaranteed QoS for first responders. AI prioritizes mission-critical traffic and maintains connectivity during network stress.
Autonomous Vehicle Connectivity
Sub-millisecond V2X communication with predictive handover. The AI-RAN anticipates vehicle trajectories and pre-positions radio resources.
Ready to Deploy AI-Native RAN?
Talk to our team about integrating the OranSense AI-RAN platform into your network. We support greenfield deployments, brownfield upgrades, and research testbeds.