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Is it possible to generate a coverage map for a 2D surface that isn’t flat, such as a mesh terrain specified by a heightmap? I’ve experimented with the Sionna coverage map function and have only been able to change the orientation of the plane on which the coverage map is computed, as opposed to computing the coverage at different heights. Below is an example of why this behavior is problematic for us: Our current workaround idea is to place many (hundreds or thousands) of receivers scattered across the terrain mesh, and then use the path losses from the transmitter to each receiver to get the data we need. This will be slow, and it would be helpful to be able to evaluate the coverage map function at the varying heights instead. Is there something fundamental about the coverage map computation algorithm that makes this difficult? |
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Replies: 2 comments 10 replies
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Hi @Jklein64, It is possible to set the position of the center of the coverage map using the In principle, it would be possible to consider non-planar measurement surfaces, but we currently do not have plans to implement this feature. You could consider computing multiple smaller coverage maps, each with different positions and orientations, to approximate the shape of the terrain. |
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Support for arbitrary mesh measurement surfaces in Radio Maps has been added in Sionna 1.1.0. Its implementation uses each mesh face as a “cell” instead of generalizing the grid of cells method (from planar Radio Maps) to work with non-flat measurement surfaces. This works, but the results are not exposed as a grid, and it's difficult to adjust the resolution of cells (since there is no analog to the These two features, (1) a 2D path gain tensor and (2) a Hope this helps! @redcoatwright @Mgomez-01 |
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Support for arbitrary mesh measurement surfaces in Radio Maps has been added in Sionna 1.1.0. Its implementation uses each mesh face as a “cell” instead of generalizing the grid of cells method (from planar Radio Maps) to work with non-flat measurement surfaces. This works, but the results are not exposed as a grid, and it's difficult to adjust the resolution of cells (since there is no analog to the
cell_sizeparameter).These two features, (1) a 2D path gain tensor and (2) a
cell_sizeparameter, were very important to us. To handle this, I created another Radio Map solver that takes Digital Elevation Maps (DEMs, aka heightmaps) as input and evaluates the path loss on a "grid" draped ove…