The Meta Distribution of SINR in UAV-Assisted Cellular Networks

TL;DR

This paper develops a comprehensive analytical framework using the meta distribution to evaluate the high-order SINR statistics in UAV-assisted cellular networks, considering realistic antenna patterns and probabilistic line-of-sight channels.

Contribution

It introduces a novel meta distribution-based analysis for UAV networks, relaxing common assumptions and deriving exact interference and SINR distributions with steerable antennas.

Findings

Uniform OBA assumption underestimates network performance.

Steerable antennas improve coverage and fairness.

Analytical results match simulations closely.

Abstract

Mounting compact and lightweight base stations on unmanned aerial vehicles (UAVs) is a cost-effective and flexible solution to provide seamless coverage on the existing terrestrial networks. While the coverage probability in UAV-assisted cellular networks has been widely investigated, it provides only the first-order statistic of signal-to-interference-plus-noise ratio (SINR). In this paper, to analyze high-order statistics of SINR and characterize the disparity among individual links, we provide a meta distribution (MD)-based analytical framework for UAV-assisted cellular networks, in which the probabilistic line-of-sight channel and realistic antenna pattern are taken into account for air-to-ground transmissions. To accurately characterize the interference from UAVs, we relax the widely applied uniform off-boresight angle (OBA) assumption and derive the exact distribution of OBA. Using stochastic geometry, for both steerable and vertical antenna scenarios, we obtain mathematical expressions for the moments of condition success probability, the SINR MD, and the mean local delay. Moreover, we study the asymptotic behavior of the moments as network density approaches infinity. Numerical results validate the tightness of the theoretical results and show that the uniform OBA assumption underestimates the network performance, especially in the regime of moderate altitude of UAV. We also show that when UAVs are equipped with steerable antennas, the network coverage and user fairness can be optimized simultaneously by carefully adjusting the UAV parameters.