LAUSR

Integrating unmanned aerial vehicles (UAVs) as the base station is recent progress and a promising solution to assist cellular networks and improve coverage. In this paper, an analytical framework is proposed to analyze coverage and capacity probability using stochastic geometry. However, we incorporate the air-to-ground (A2G), and two-piece path loss model that undergoes mmWave channel fading in both line-of-site (LOS) and non-line-of-site (NLOS). Furthermore, we assume that all users’ equipment’s (UEs) are clustered around Terrestrial base stations (TBS) and UAVs, according to Poisson Cluster Process (PCP), i.e., Matern cluster process. We also propose Multiple-Input-Multiple-Output (MIMO) transmission where multiple single-antenna UAVs simultaneously communicate with TBS. Initially, we obtain expressions for association probability with each tier. After that, we derive downlink coverage expression based on signal-to-interference-plus-noise-ratio (SINR), by assuming 3D directional beamforming and UAV height is not fixed. Numerical results demonstrate that the proposed approach is significantly more efficient.