White Papers

info@maxar.com maxar.com TABLE 2. ADDITIONAL SITES REQUIRED TO MEET DESIRED CONFIDENCE TARGET 84% 90% 95% 8.0 dB +1510 +2260 +3550 7.5 dB +1370 +2030 +3140 7.0 dB +1240 +1810 +2760 6.5 dB +1110 +1610 +2420 6.0 dB +1000 +1420 +2120 5.5 dB +880 +1250 +1830 5.0 dB +780 +1090 +1580 Propagation models calibrated with the Maxar 1 m 3D geodata provide more accurate signal predictions. Standard 2D data (10 m) Improvements of 2 dB in standard deviation Maxar 3D data (1 m) Standard deviation (dB) Desired confidence target (%) ← → MXR-wp-telco 02/22 Inputs provided by Netscout™ Operators design their networks to meet a desired confidence target. Figure 3 shows that at the higher confidence level, the same number of sites covers a smaller area. To cover the same area, more sites are needed at the higher confidence level. An accurate model with a lower standard deviation means fewer sites are needed to reach the same result in terms of radio network area coverage and desired confidence target. Starting with 1,000 sites at 50% confidence (design without margin), the number of additional sites required are shown in Table 2 for a range of standard deviations and desired confidence targets. For 1,000 sites at 50% confidence as a starting point, Table 2 shows that at the 84% desired confidence target, with an improvement from 7.5 dB to 5.5 dB in standard deviation, the total required sites decrease from 2,370 to 1,880, a difference of 490 sites—a savings of about 21%. Similarly, at the 95% desired confidence target, savings would be about 32%. This approach reaches the same coverage target, while reducing additional network investments. This also allows network operators to reduce the operational costs required to optimize the radio network when the unnecessary sites that have been deployed are generating interference, as well as canceling the operational costs of maintaining these additional unnecessary sites. Conclusion Investing in higher-resolution, higher-accuracy geodata from day one and applying best practices in network design drastically improves capex compared to investing in additional sites. Maxar is building this rich geodata for the entire Globe in 3D, with automation, allowing for the supply of the required 3D geodata rapidly and cost-effectively over regional or country-scale areas.

• Cover