Other factors which affect satellite-to-ground link budgets include rain fading, ionospheric and tropospheric scintillation, terrain masking, foliage attenuation and multipath effects. For L- and S-Band carriers, typically employed in NB-IoT communications, rain fading and tropospheric scintillation effects are relatively small.5-6 Ionospheric scintillation, on the other hand, can cause deep time-dependent fades during the hours following sunset for UEs located within 20 degrees of the equator or at high latitudes near the poles.7 Link budgets for UEs located within these regions can require margins of at least 25 dB, especially during periods of high solar activity. At other latitudes, ionospheric scintillation can typically be neglected. To account for terrain masking, foliage attenuation and multipath effects, especially in a well characterized scene, ray tracing techniques can be employed.

Modeling Satellite Coverage to Rural Areas

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Figure 3

Figure 3 Urban-suburban-rural scenario used to model terrestrial and satellite coverage.

We now consider the use case of extending service continuity to mobile NB-IoT devices in rural areas (see Figure 3). The scene shows urban and suburban areas with good terrestrial coverage, with a rural region between them. The northern end of the urban area to the south is serviced by two terrestrial base stations, each with transmit powers of 40 dBm over a 20 MHz bandwidth. The suburban area to the north has one 40 dBm base station. For the rural area between, coverage is provided with a LEO satellite.

First, consider the coverage provided by the terrestrial base stations to NB-IoT devices located anywhere in the scene. To account for terrain masking, foliage shadowing and multipath effects for the signals traveling from the base stations to the NB-IoT devices, we employ a ray tracing model using Remcom’s Wireless InSite®suite.8 This model includes multipath propagation through the outdoor portion of the scene, including paths reflecting and diffracting from terrain and structures. This method incorporates full 3D multipath effects, including polarization and phase. In this scenario, the base stations are assumed to be vertically polarized, while the NB-IoT receivers are assumed to have linearly polarized 0 dBi antennas, with their polarization axes rotated 45 degrees relative to horizontal. The NB-IoT receivers have a 9 dB noise figure and the ambient RF noise floor is assumed to be −167 dBm/Hz, which is consistent with measurements of 1.7 and 2.1 GHz RF noise in urban, suburban and rural environments.9

Figure 4

Figure 4 NB-IoT SNR for a terrestrial downlink and uplink.

For NB-IoT receivers located anywhere in the scene, Figure 4 shows the signal-to-noise ratio (SNR) for both the UL (1.7 GHz) and DL (2.1 GHz) signals with 180 kHz bandwidth. SNRs as high as 57 and 66 dB for DL and UL, respectively, are observed in the urban and suburban areas near the terrestrial base stations. For the rural area, however, the SNR often falls well below 0 dB (shown as transparent), due to terrain masking and foliage shadowing. Wireless InSite models attenuation from foliage by implementing the Weissberger model.10

The coverage in the rural area for the NB-IoT devices can be restored by a satellite overlay. The satellite signal is modeled within Wireless InSite and augmented with an in-house model by placing an isotropic transmitter within Wireless InSite at an apparent elevation angle and altitude determined from the calculations using the satellite-to-ground model described earlier. This accounts for the increased path loss due to refraction through the atmosphere.

To model DL coverage, the isotropic transmitter has an equivalent isotropically radiated power (EIRP) of 66 dBm less the power loss from atmospheric absorption, determined by the satellite-to-ground propagation model.11 Atmospheric absorption within Wireless InSite is then disabled for the satellite links, as it is accounted for by this reduced EIRP. The 66 dBm EIRP assumes the satellite can provide a 36 dBm transmit power in a 180 kHz bandwidth and has an antenna gain of 30 dBi. The satellite antenna is assumed to be circularly polarized, which is typical for SATCOM in order to eliminate polarization rotation due to the Faraday effect. A 3 dB noise figure for the satellite antenna is assumed, as well as a noise temperature of 290 K for the UL,12 resulting in noise power of −174 dBm/Hz. The DL retains the assumption of a 9 dB noise figure and a −167 dBm/Hz RF noise floor, appropriate for terrestrial communications at the frequency bands used in this scenario.

Figure 5

Figure 5 NB-IoT SNR for LEO satellite links vs. elevation angles.

Figure 5 shows satellite DL and UL SNRs for the scene in Figure 3 at different elevation angles of the satellite above the horizon. SNRs less than 0 dB are transparent. The maximum SNR is achieved when the satellite is directly overhead (i.e., 90 degree elevation angle) because the propagation path loss and atmospheric absorption are minimized. At lower elevation angles, the SNR is compromised by shadowing from foliage and terrain. Despite these losses, an SNR above 0 dB can be maintained over most of the scene for elevation angles of 25 degrees or greater. Despite the lower transmit power of the NB-IoT devices (23 dBm is assumed for this analysis), the SNR for the UL is approximately 2 dB higher on average than for the DL, because the noise figure for the satellite receiver is 6 dB lower than for the low-cost NB-IoT devices. The ambient noise for the satellite is −174 dBm/Hz (approximately 7 dB lower than for the terrestrial systems) and the propagation path loss for the UL signal is reduced by 2 dB at a 90 degree elevation angle relative to the DL, due to the wavelength difference.

To quantitatively characterize the improved coverage obtained with the satellite overlay, Figure 6 compares the cumulative distribution function (CDF) of SNR values for the terrestrial base station and the satellite at different elevation angles. To focus on the rural area, the CDF is computed for NB-IoT devices located in the central two-thirds of the scene shown in Figure 3. From the CDF for the terrestrial base stations, over 60 percent of the receiver/transmitter locations have SNRs less than 0 dB. In contrast, nearly 100 percent of the simulated device locations have SNRs greater than 0 dB for UL/DL satellite transmission at elevation angles as low as 25 degrees. When the satellite is overhead, most of the area achieves SNRs of 10 dB or better.

For a given SNR, modulation and coding scheme, the data throughput can be calculated. When using the full 180 kHz bandwidth, both the DL and UL in the NB-IoT standard use QPSK. Figure 7 shows the throughput achieved by NB-IoT devices at different locations in the scene where the throughput estimate is based on the formula provided in 3GPP TS 38.30613 and limited to the lower order QPSK modulations. Figure 7a shows the DL and UL throughput with just the terrestrial base stations; Figure 7b shows the throughput when the terrestrial base stations are supplemented by satellite coverage, where the satellite is assumed to be located at an elevation angle of 25 degrees. For the UL, the satellite overlay provides complete coverage across the scene, even for a satellite at 25 degrees. The coverage is nearly complete for the DL. As the satellite moves to higher elevations, the overall throughput continues to rise and attains a maximum throughout for the area when the satellite is overhead.

Figure 6

Figure 6 SNR CDF for the downlink (a) and uplink (b), comparing the terrestrial base stations with a LEO satellite at various elevation angles.

Conclusion

Figure 7

Figure 7 NB-IoT downlink and uplink throughput, comparing the terrestrial base stations (a) vs. satellite overlay (b), with the satellite at 25° elevation.

This case study demonstrates how satellite coverage can be modeled using predictive simulation. Such models can simulate the SATCOM channel, capturing important effects such as terrain masking, shadowing due to foliage and multipath fading, which are essential to a proper evaluation of the link budget. Further, ray tracing models can be used to identify cases where terrestrial coverage needs to be supplemented with a LEO satellite overlay to improve NB-IoT coverage in rural areas. These LEO satellites can provide coverage with relatively low latency, though this comes at the cost of complicating the communications channel, as large Doppler shifts must be compensated by the satellite and/or the UE.

References

  1. “Study on Using Satellite Access in 5G,”3GPP, TR 22.822, V16.0.0, June 2018.
  2. “Attenuation by Atmospheric Gases,” International Telecommunications Union, Recommendation ITU-R P.676-11, August 2019.
  3. “Effects of Tropospheric Refraction on Radiowave Propagation,” International Telecommunications Union, Recommendation ITU-R P.834-8, September 2016.
  4. O. Kodheli, S. Andrenacci, N. Maturo, S. Chatzinotas and F. Zimmer, “Resource Allocation Approach for Differential Doppler Reduction in NB-IoT over LEO Satellite,” 9th ASMS Conference and 15th SPSC Workshop, October 2018.
  5. R. E. Sheriff and Y. F. Hu, “Mobile Satellite Communications Networks, First Edition,” Wiley, November 12, 2001.
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  7. “Ionospheric Propagation Data and Prediction Methods Required for the Design of Satellite Services and Systems,” International Telecommunications Union, Recommendation ITU-R P.531-13, September 2016.
  8. “Wireless InSite,” Remcom Inc., October 2019.
  9. R. Leck, “Results of Ambient RF Environment and Noise Floor Measurements Taken in the U.S. in 2004 and 2005,” World Meteorological Organization Report, March 2006.
  10. M. A. Weissberger, “An Initial Critical Summary of Models for Predicting the Attenuation of Radio Waves by Trees,” Final Report EMC Analysis Center, July 1982.
  11. H. J. Liebe, “An Updated Model for mmWave Propagation in Moist Air, Radio Science,” September 1985.
  12. D. Roddy, “Satellite Communications, Fourth Edition,” McGraw-Hill Education, February 10, 2006.
  13. “User Equipment (UE) Radio Access Capabilities (Release 15),” 3GPP, Technical Specification 38.306 V15.7.0, September 2019.