Coverage Analysis for Unmanned Aerial Vehicle Assisted 5G Network Over Fox's H Channel

The integration of unmanned aerial vehicles (UAVs) as base stations is a recent advancement and a promising solution for assisting cellular networks and enhancing coverage. This paper presents an analytical framework for evaluating fractal coverage probability using stochastic geometry. Specifically, we incorporate the air-to-ground (A2G) model and a two-piece path loss model, which undergoes Fox's H channel fading, encompassing all existing fading distributions. First, we derive expressions for the association probabilities for each tier, considering both line-of-sight (LoS) and non-line-of-sight (NLoS) conditions. Then, we obtain a downlink coverage expression based on the signal-to-interference-plus-noise ratio (SINR), assuming millimeter-wave frequencies and directional beamforming. Numerical results highlight the advantages of the proposed analysis in a UAV-assisted terrestrial network.