Spectrum AI
AI-native Shared Spectrum Network Management & Optimization Solution
The First Physical AI Platform for Shared Spectrum Management
Ideal for Mobile Operators & System Integrators
Spectrum AI is redefining shared spectrum management through AI-powered spectrum coordination and physics-based network optimization. Operators are increasing capacity, accelerating deployment planning, reducing site requirements, and improving ROI using a new generation of Physical AI that has been field-validated across hundreds of production wireless networks:
Up to 5X Network Capacity Gain
AI simulation replaces static prediction models, reducing uncertainty and removing unnecessary guard rails. The end result is much higher spectrum quality and coordinated allocation.
Built on a decade of real-world spectrum coordination data, Spectrum AI continuously analyzes propagation conditions, interference patterns, and spectrum availability to help operators unlock more value from the infrastructure they already own:
- Spectrum deconfliction, optimization and increased allocation
- Improved channel planning and performance
- Spectrum lifecycle visibility and management
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Key Spectrum AI Use Cases
AI-enabled Management & Optimization
Drive Test Quality Prediction Reliability
Drive testing equivalency. In comparing AI model results to hundreds of real field measurements, we are able to validate near-zero bias and provide 90%+ confidence on service level accuracy.
Nationwide Spectrum Intelligence
Unlock up to 50% more spectrum availability. Spectrum AI applies physical-layer intelligence across the operator footprint to identify where spectrum is constrained, capacity is being left unused, and coordination improvements can unlock better performance. The nationwide views show how Spectrum AI turns complex interference and protection relationships into actionable optimization insights, helping operators prioritize markets, reduce unnecessary constraints, and improve spectrum utilization at scale.
Device-level Power Optimization
Recover up to 20 dB of headroom with AI-driven power optimization. Spectrum AI helps operators maintain required protections while maximizing usable spectrum for nearby CBSDs. By continuously analyzing PAL boundaries, neighboring deployments, grant activity, and interference relationships, Spectrum AI identifies where EIRP reductions are required and where improved coordination can restore operating power without compromising PPA protection. The result is more efficient protection and usable capacity for live networks.
Enhanced Antenna Modeling
Drive precise protection and greater spectrum reuse. Spectrum AI improves interference coordination by modeling the real antenna behavior of both CBSDs and protected incumbents, including directional gain, azimuth, beam width, elevation effects, and site geometry. This enhanced antenna-aware analysis allows the platform to distinguish between theoretical worst-case interference and the actual RF coupling between devices and incumbents, enabling more precise EIRP decisions, better incumbent protection, and greater spectrum reuse.
Driving Business Value
INVESTMENT CONFIDENCE
Accurately project serviceable locations, performance, and ROI
STRATEGIC EXPANSION
Identify overlap, white space, and consolidation opportunities
REVENUE TARGETING
Qualify opportunities with speed and accurate modeling
AI and the New Economics of Shared Spectrum
Technology Highlights
GPU-accelerated ray tracing
Deterministic physics-based modeling of reflection, diffraction, and scattering, with per-link, geometry-aware propagation. The modeling stack is built on NVIDIA Sionna RT.
High-resolution geospatial data
LiDAR-derived 3D terrain and building meshes plus land-use, water and vegetation layers with data curated from multiple sources
Machine learning feedback loops
Continuous model calibration from production network telemetry.
Distributed GPU compute
Continuous SAS decisioning at per-site granularity, and the new economics of shared spectrum.
Network Optimization
Spectrum De-confliction
- Location-specific channel planning based on real deployment conditions.
- Cross-operator interference analysis and coordination recommendations.
- Predictive performance modeling for SINR, bandwidth, and spectrum availability.
- What-if analysis to evaluate deployment alternatives and business tradeoffs.
- Continuous monitoring with automated replanning as the RF environment changes.
Spectrum AI continuously analyzes spectrum usage, network topology, terrain, clutter, incumbent activity, equipment characteristics, and customer performance objectives to recommend the best spectrum configuration for every deployment location.
Unlike traditional SAS automation that focuses primarily on regulatory compliance, Spectrum AI predicts network performance before deployment and continuously optimizes it after deployment. The platform combines advanced RF propagation modeling, geospatial intelligence, historical spectrum availability, and field measurements to create location-specific channel plans that maximize SINR, availability, and usable bandwidth.
Auto-planning
- Automated site and sector planning.
- Coverage and capacity prediction.
- Evaluation of licensed and shared spectrum assets.
- Market-specific optimization based on infrastructure and demand.
- Rapid scenario analysis for investment planning.
Faster Planning & Deployment Cycles
From hours to seconds. Run real-time scenario analyses before capital spend. Field data feeds back into the model continuously—accuracy compounding as networks grow.
The platform analyzes market-specific conditions to determine where infrastructure should be deployed, which spectrum assets should be used, and how network resources should be allocated to maximize coverage and subscriber performance. Automated planning scales consistently across markets while allowing operators to evaluate multiple deployment scenarios before investing in infrastructure.
EIRP Optimization
- Channel-by-channel EIRP optimization.
- Advanced propagation and antenna modeling.
- Dynamic incumbent and protection analysis.
- Intelligent frequency assignment based on allowable transmit power.
- Automated recommendations that adapt as spectrum conditions evolve.
Spectrum AI maximizes allowable transmit power by intelligently selecting the optimal operating frequency and applying advanced interference and protection modeling.
Instead of applying conservative assumptions uniformly across the band, the platform evaluates incumbent protection requirements, antenna characteristics, propagation conditions, and channel-specific constraints to determine where each CBSD can safely operate at the highest permissible EIRP. This allows operators to recover coverage and capacity while remaining fully compliant with regulatory requirements.
What the Deployment Data Shows
More Efficient Spectrum Allocation & Utilization
Up to 50% More Spectrum to Allocate
AI applies site optimization, advanced spectrum allocation, deconfliction, and channel planning—improving the amount of quality spectrum that can be allocated by up to 50%.
Field Validated Across Hundreds of Live Sites
Spectrum AI is an automated spectrum management system that delivers step-function gains at two levels: spectrum efficiency and spectrum performance. The result, measured in live deployments, is significantly more usable high-quality spectrum for network operators.
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Seamless End-to-End Workflow
Easily Integrate with Existing Systems and Processes
Mature API Integration Process
- Detailed API documentation
- Fully documented integration and authentication process
- End-to-end API integration support
- 24/7 monitoring for performance
Expert Support from A to Z
Comprehensive support for spectrum and device management APIs: Carrier-grade performance (reliability, response times, security).
24/7/365 Live White-glove Support: Our dedicated team provides around-the-clock expert assistance, ensuring immediate resolution of issues, personalized guidance, and seamless network operations.
Operational Excellence: Federated Wireless delivers seamless migration, multi-band support, interference management, and cost optimization for superior network performance.
