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3D Stochastic Geometry Model for Aerial Vehicle-Relayed Ground-Air-Satellite Connectivity

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Due to their flexibility, aerial vehicles (AVs), such as unmanned aerial vehicles and airships, are widely employed as relays to assist communications between massive ground users (GUs) and satellites, forming an AV-relayed ground-air-satellite solution (GASS). In GASS, the deployment of AVs is crucial to ensure overall performance from GUs to satellites. This paper develops a stochastic geometry-based analytical model for GASS under Matérn hard-core point process (MHCPP) distributed AVs. The 3D distributions of AVs and GUs are modeled by considering their locations on spherical surfaces in the presence of high-altitude satellites. Accordingly, we derive an overall connectivity analytical model for GASS, which includes the average performance of AV-relayed two-hop transmissions. Extensive numerical results validate the accuracy of the connectivity model and provide essential insights for configuring AV deployments.

Original languageEnglish
Title of host publication2025 IEEE 101st Vehicular Technology Conference, VTC 2025-Spring 2025 - Proceedings
ISBN (Electronic)9798331531478
DOIs
Publication statusPublished - 2025
Event101st IEEE Vehicular Technology Conference, VTC 2025-Spring - Oslo, Norway
Duration: 17 Jun 2025 → 20 Jun 2025

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Electronic)2577-2465

Conference

Conference101st IEEE Vehicular Technology Conference, VTC 2025-Spring
Country/TerritoryNorway
CityOslo
Period17/06/25 → 20/06/25

Keywords

  • 3D stochastic geometry
  • Matern hard-core point process (MHCPP)
  • ground-air-satellite solution (GASS)

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