Downlink Analysis of LEO Multi-Beam Satellite Communication in Shadowed Rician Channels
Eunsun Kim, Ian P. Roberts, Peter A. Iannucci, and Jeffrey G. Andrews

TL;DR
This paper analyzes the downlink performance of LEO multi-beam satellite communications using Shadowed Rician channels, focusing on SNR, INR, and interference, to inform system design and interference management.
Contribution
It introduces a novel analysis of LEO satellite downlink channels considering shadowing and beam sectorization, providing simplified models for SNR and interference metrics.
Findings
Sky-to-ground signals share similar paths for desired and interference signals.
Terrestrial signals travel along different paths, affecting interference characteristics.
Numerical results suggest LEO systems may be interference- or noise-limited.
Abstract
The coming extension of cellular technology to base-stations in low-earth orbit (LEO) requires a fresh look at terrestrial 3GPP channel models. Relative to such models, sky-to-ground cellular channels will exhibit less diffraction, deeper shadowing, larger Doppler shifts, and possibly far stronger cross-cell interference: consequences of high elevation angles and extreme "sectorization" of LEO satellite transmissions into partially-overlapping spot beams. To permit forecasting of expected signal-to-noise ratio (SNR), interference-to-noise ratio (INR) and probability of outage, we characterize the powers of desired and interference signals as received by ground users from such a LEO satellite. In particular, building on the Shadowed Rician channel model, we observe that co-cell and cross-cell sky-to-ground signals travel along similar paths, whereas terrestrial co- and cross-cell signals…
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Taxonomy
TopicsSatellite Communication Systems · Advanced MIMO Systems Optimization · IoT Networks and Protocols
MethodsEmirates Airlines Office in Dubai
