Castanet Rypplzz 5G Broadcast partnership integrates spatial intelligence into hybrid networks
Rypplzz and Castanet Corporation have announced a partnership to integrate spatial intelligence into hybrid ATSC 3.0 and 5G Broadcast networks. The collaboration aims to provide precise three-axis positioning and timing data for physical AI applications by leveraging high-power UHF spectrum.
Key Takeaways
- Initial pilot deployments are scheduled for Las Vegas and Silicon Valley using software-defined PNT architecture.
- The system operates under the 3GPP Release 18 standard for 5G Broadcast to establish resilient 3D positioning.
- Rypplzz technology processes native network data including Positioning Reference Signals and Single Frequency Network synchronization.
- The hardware-agnostic platform enables precise horizontal and vertical tracking without requiring a separate parallel positioning network.
Why It Matters
This integration transforms traditional television broadcast infrastructure into a high-precision data layer capable of supporting autonomous systems and robotics. By utilizing the reach of UHF spectrum, the partnership addresses the limitations of traditional GNSS in urban canyons and indoor settings, offering a terrestrial alternative for critical infrastructure timing. For the streaming ecosystem, this signals a shift where broadcast spectrum is no longer just for content delivery but serves as a foundational utility for location-aware digital services and network offloading. Watch for the performance results of the Las Vegas pilot to determine if this hybrid architecture can effectively compete with established unicast positioning solutions.
Additional Context
The convergence of broadcast infrastructure and precision positioning is gaining momentum as ATSC 3.0 networks mature beyond their original content-delivery mandate. In early 2025, the ATSC announced that its NextGen TV standard had reached over 75% U.S. household coverage, creating a foundation that companies like Castanet and Rypplzz are now exploiting for non-content services. The high-power, high-tower UHF transmitters that carry NextGen TV signals offer propagation characteristics that GNSS cannot replicate indoors or in dense urban environments, making them attractive anchors for terrestrial positioning networks. Castanet's approach of embedding positioning waveforms into existing broadcast multiplexes means no new spectrum allocation is required, a significant regulatory advantage over proposals that would need dedicated frequency assignments.
On the business and standards side, the 3GPP has been actively developing positioning enhancements within its Release 19 specifications, with 5G NR positioning accuracy targets of sub-meter level for both indoor and outdoor scenarios approved for study items in early 2025. This creates a natural alignment between Castanet's hybrid approach and the broader 5G Broadcast ecosystem, since 5G NR-based broadcast (FeMBMS) shares spectrum planning considerations with ATSC 3.0 in several markets. The Federal Communications Commission has also signaled openness to non-broadcast uses of television spectrum, with Chairwoman Rosenworcel's 2024 notice of inquiry exploring flexible use of broadcast bands for services including location-based applications. For Rypplzz, the partnership represents a path to commercialize its spatial intelligence platform without the capital burden of building standalone positioning infrastructure.
From a technical standpoint, terrestrial broadcast positioning has demonstrated measurable advantages in challenging RF environments. A 2025 study published by the Institute of Navigation showed that UHF broadcast-based positioning achieved horizontal accuracy of 3 to 8 meters in urban canyon scenarios, compared to 15 to 50 meters for standalone GPS in the same conditions. Castanet's system claims three-axis accuracy sufficient for physical AI applications, which typically require sub-meter precision for robotic navigation and autonomous vehicle coordination. The nanosecond-level timing synchronization that the partnership promises is particularly relevant for 5G network operations, where precise timing is essential for TDD frame alignment across small cells, and for financial services infrastructure that depends on sub-microsecond clock references. The Las Vegas pilot referenced in the announcement will serve as a critical proof point for whether positioning can meet these demanding accuracy thresholds at commercial scale.
Read full article at ncnewsonline.com
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