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TABLE 1. RESULTS WITH MAXAR 1 M 3D GEODATA VERSUS RESULTS WITH TRADITIONAL 10 M 2D GEODATA
Maxar 1 m 3d geodata 10 m 2d geodata improvement
Mean error
(dB)
Standard
deviation
error (dB)
RMS error
(dB)
Mean error
(dB)
Standard
deviation
error (dB)
RMS error
(dB)
RMS
Improvement
(dB)
RMS
Improvement
%
Suburban/commercial 700 MHz model
0.37 5.27 5.28 0.2 6.45 6.45 -1.17 18%
Suburban/commercial 1900 MHz model
0.1 5.3 5.3 0 6.93 6.93 -1.63 24%
Suburban/commercial 2600 MHz model
0.05 5.4 5.4 0 6.74 6.74 -1.34 20%
Suburban/commercial 3500 MHz model
0.03 5.74 5.74 -0.01 7 7 -1.26 18%
Urban/dense urban 700 MHz model
-0.01 5.08 5.08 0.11 6.89 6.89 -1.81 26%
Urban/dense urban 1900 MHz model
0.11 5.56 5.56 0.14 7.64 7.64 -2.08 27%
Urban/dense urban 2600 MHz model
0.12 5.87 5.87 0.06 7.79 7.79 -1.92 25%
Urban/dense urban 3500 MHz model
0 6 6 0 8.08 8.08 -2.08 26%
Average -1.66 23%
With the mean error leveled to almost 0 dB, the root mean square (RMS)
improvement is equivalent to the standard deviation improvement.
Each dB improvement in standard deviation has a high impact on the number of sites required to be deployed to meet network
coverage confidence targets.
Designing an optimal network with fewer base stations
FIGURE 3. COVERAGE AREA BASED ON DESIRED CONFIDENCE TARGET
Inputs provided
by Netscout™
Inputs provided
by Netscout™
A 5-6 dB standard deviation error is considered a gold standard target in the industry. Table 1 is based on these live collected
measurements. It shows 1-2 dB of measured improvement in the standard deviation error when using Maxar's 1 m 3D geodata, as
compared to lower-resolution, lower-accuracy 10 m 2D geodata.
