Stochastic Geometry Analysis of Uplink-Downlink Interference Asymmetry for Urban UAV-RC Networks

초록

Uncrewed aerial vehicles (UAVs) have emerged as a flexible platform for providing coverage over challenging environments, particularly for public safety and surveillance missions in urban areas. However, deploying the UAVs in dense urban areas introduces unique challenges, most notably asymmetric uplink (UL, remote controller to UAV) interference due to a higher chance of line-of-sight (LoS) interference at the UAV. In this letter, we propose a stochastic geometry (SG) framework to tractably analyze the large-scale asymmetric interference in urban areas. We incorporate a log-Gaussian Cox process (LGCP) model to capture the spatial correlation of the interference field in both UL and downlink (DL) as a function of the UAV altitude and the two-dimensional (2-D) distance between the remote controller and UAV. To quantify the UL and the DL interference asymmetry, we also define the UL-DL interference asymmetry ratio characterizing the interference disparity between the UL and the DL. Our numerical results demonstrate that the UL-DL interference asymmetry ratio increases and the channel capacity decreases as the UAV altitude and 2-D distance increase.

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