A Wi-Fi heatmap without Ekahau

Ekahau earned its reputation. For dedicated on-site Wi-Fi validation surveying, it is a strong, well-loved tool. But a lot of teams reach for it at the design stage — to produce a predictive heatmap for a proposal — and pay for a seat and a hardware kit to do work that is, at heart, a computation. If that is the job in front of you, you have another option.

This is an honest look at what a predictive Wi-Fi heatmap actually requires, and where a measured survey still belongs.

A predictive heatmap is a computation, not a kit

A predictive heatmap does not come from walking the building. It comes from modeling the building and letting propagation physics fill in the coverage. Done properly, that means:

• Wall materials with published attenuation — a glass partition and a concrete shear wall do very different things to a signal, and the model has to know which is which.
• ITU-R indoor propagation — ITU-R P.2040 material permittivity, P.526 diffraction, and P.1238 indoor path loss, so the signal bends and fades the way it really does instead of shrinking in a tidy circle.
• Measured antenna patterns — the real radiation pattern from the access point’s datasheet, not an idealized sphere.
• The building’s own difficulty — multi-floor attenuation, and warehouse racking that soaks up signal with depth and angle.

SiteOps Command computes the discrete wall-by-wall loss and the statistical model, then takes the more conservative of the two — so a sparse office and a dense warehouse both come out honest rather than optimistic. The coverage physics page names every standard on the number.

The heatmap reads the building, not a template

The difference you can see is that the heatmap respects the floor plan. Coverage bends around the concrete core, drops behind the racking, and thins across the mezzanine — because those are inputs, not decoration. That is the whole point of a predictive survey: to find the dead corner and the weak stairwell while they are still cheap to fix.

What replaces the truck roll

The part a survey kit used to own — the systematic walk — moves onto the model. An autonomous virtual site survey walks the building floor by floor, probes coverage at each step, flags the weak spots, and proposes deterministic fixes, before anyone drives to site. For an MSP running a book of branch offices, that is the difference between fifty truck rolls and fifty models. There is a step-by-step guide to running one.

Where measuring still earns its keep

Predictive design does not make measurement obsolete — it changes when you spend it. A contractual acceptance survey, a troubleshooting visit on a building that fights you, a site with materials you cannot trust from a drawing: those still call for readings on site. The honest workflow is to design predictively, then calibrate — feed the measured readings back and let the model correlate its predictions against your actual building, so the design and the field converge on one source of truth instead of two disconnected tools.

That is also the honest boundary with Ekahau: for deep, dedicated on-site validation surveying, it remains a capable instrument. What changes is that the design-phase heatmap — the one that goes in the proposal — no longer needs a subscription and a hardware kit to exist.

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If Wi-Fi is one discipline of a bigger install, the same model that computes the heatmap also places the cameras, scores the conference rooms, and budgets the PoE. See the standards behind an honest heatmap, how it compares to Ekahau, or how MSPs use it.