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The shift to pre-calibrated propagation models and curated geodata as-a-service
High-quality geodata and well-calibrated propagation models are the foundation of
accurate network design. Yet across the industry, sourcing, validating and tuning these datasets remains one of the most time-consuming — and costly — steps in the planning process. Cloud- based propagation modeling is now changing that equation. This is why Infovista and Google Cloud have partnered to transform wireless network planning and deliver a game-changing SaaS solution. Through Google Cloud’s Propagation API, planners and service providers can access an advanced, pre-calibrated propagation model paired with high-quality, frequently updated global geodata. Planners no longer need to assemble their own datasets or run extensive local calibration campaigns before achieving production-grade accuracy.
What does the Infovista + Google Cloud partnership deliver?
The model is pre-tuned using large-scale measurement datasets and refined with Google’s geospatial information — terrain, buildings, vegetation and other features — updated regularly across regions. Because the API is delivered as a service, organizations can subscribe for ongoing use or activate it on demand for time-limited or data-sensitive projects, adding flexibility and cost control to what was once a fixed, capital- intensive process.
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