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With the growing interest in satellite networks, satellite-terrestrialintegrated networks (STINs) have gained significant attention because of theirpotential benefits. However, due to the lack of a tractable network model forthe STIN architecture, analytical studies allowing one to investigate theperformance of such networks are not yet available. In this work, we propose aunified network model that jointly captures satellite and terrestrial networksinto one analytical framework. Our key idea is based on Poisson point processesdistributed on concentric spheres, assigning a random height to each point as amark. This allows one to consider each point as a source of desired signal or asource of interference while ensuring visibility to the typical user. Thanks tothis model, we derive the probability of coverage of STINs as a function ofmajor system parameters, chiefly path-loss exponent, satellites and terrestrialbase stations' height distributions and density, transmit power and biasingfactors. Leveraging the analysis, we concretely explore two benefits that STINsprovide: i) coverage extension in remote rural areas and ii) data offloading indense urban areas.

Unified Modeling and Rate Coverage Analysis for Satellite-Terrestrial Integrated Networks: Coverage Extension or Data Offloading?