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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. Wireless network planning is being transformed by game-changing SaaS solutions such as Infovista’s Planet Cloud. On-demand geodata enables planners and service providers to access advanced, pre-calibrated propagation models 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.
Explore how pre- calibrated propagation models such as Google Cloud can enhance on-demand geodata.
Using pre-calibrated models, such as Planet AIM, Planet Cloud is pre-tuned using large- scale measurement datasets and refined with geospatial information — terrain, buildings, vegetation and other features — updated regularly across regions. Because the geodata 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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