Different coverage prediction model

Yes, it has been developed in collaboration with Orange France.

Another capacity apart from Monte Carlo in LTE.
How to by heart process of Atoll.
It’s made of lot of process for whom it is new.
But while learning it is written that cross wave gives more accurate prediction on hilly areas, as it can calculate reflection of mountains, and so on.
Because as you said it’s 3d.
So cross wave will be more accurate than cost hata.
For prediction point view.

Yes, definetly.

Does spm model not used now?
I remember old time of lte where spm is most popular it’s like k1+k2…

Yes, you have from k1 up to k7.

Then we need to fine tune k1 and k2 as per cell radius.
It’s intercept and slope.

And you have to do a model tuning to get the proper value of those that will fit your topology.

Or model tuning used to do to get accurate k1 k2 values.

How do we get continuos wave data in Atoll?
Like DT tool we get RSRP from probe xcap tool with mobile connect and so on.

Do you mean how to import cw files?

Yes, exactly.

Do these planning tools still make some sense for massive indoor?
Dense urban areas?
Accurate RF Models depend on reflection coefficient of surfaces and highly accurate clutter data.

Mostly 3 Planning tool are in use for 5G: 1) Atoll 2) Planet 3) Asset

Orange lab France has developed a Robust propagation model for Atoll which they call crosswave and for Asset planning tool, it is Myriad propagation planning tool.

Myriad is very robust and a very powerful propagation model which gives you first cut planning result without even model tuning.

Now there are some in house propagation model which these planning tool company have developed. Atoll( Forsk) has developed Aster. Asset has developed ( Enhance Macro) but mostly inhouse propagation model has some issue with 5G prediction. Either they don’t support 5G or they don’t support 3D building vector data which is very mandatory for realistic 5G result.

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P3M model is 3D model for Mentum Planet.