Air-Aided Communication Between Ground Assets in a Poisson Forest
Juan David Pabon, Shaikha Alkandari, Matthew C. Valenti, and Xi Yu

TL;DR
This paper develops an analytical model to compute the probability of line-of-sight communication between ground and air assets in a forest environment, considering obstacle heights and optimizing relay deployment for improved throughput.
Contribution
It introduces a novel inhomogeneous Poisson process model for LoS probability in a forest, including closed-form expressions and validation, and analyzes optimal relay positioning and height for communication.
Findings
LoS probability depends on obstacle height distribution and distance.
Optimal air asset height maximizes end-to-end throughput.
Relaying is beneficial beyond certain communication distances.
Abstract
Ground assets deployed in a cluttered environment with randomized obstacles (e.g., a forest) may experience line of sight (LoS) obstruction due to those obstacles. Air assets can be deployed in the vicinity to aid the communication by establishing two-hop paths between the ground assets. Obstacles that are taller than a position-dependent critical height may still obstruct the LoS between a ground asset and an air asset. In this paper, we provide an analytical framework for computing the probability of obtaining a LoS path in a Poisson forest. Given the locations and heights of a ground asset and an air asset, we establish the critical height, which is a function of distance. To account for this dependence on distance, the blocking is modeled as an inhomogenous Poisson point process, and the LoS probability is its void probability. Examples and closed-form expressions are provided for…
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Taxonomy
TopicsUAV Applications and Optimization · Indoor and Outdoor Localization Technologies · Robotics and Sensor-Based Localization
