IEEE Open Journal of Vehicular Technology (Jan 2024)

Exploring UAV Networking From the Terrain Information Completeness Perspective: A Tutorial

  • Zhengying Lou,
  • Ruibo Wang,
  • Baha Eddine Youcef Belmekki,
  • Mustafa A. Kishk,
  • Mohamed-Slim Alouini

DOI
https://doi.org/10.1109/OJVT.2024.3386064
Journal volume & issue
Vol. 5
pp. 620 – 631

Abstract

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Terrain information is a crucial factor affecting the performance of unmanned aerial vehicle (UAV) networks. As a tutorial, this article provides a unique perspective on the completeness of terrain information, summarizing and enhancing the research on terrain-based UAV deployment. In the presence of complete terrain information, two highly discussed topics are UAV-aided map construction and dynamic trajectory design based on maps. We propose a case study illustrating the mutually reinforcing relationship between them. When terrain information is incomplete, and only terrain-related feature parameters are available, we discuss how existing models map terrain features to blockage probabilities. By introducing the application of this model with stochastic geometry, a case study is proposed to analyze the accuracy of the model. When no terrain information is available, UAVs gather terrain information during the real-time networking process and determine the next position by collected information. This real-time search method is currently limited to relay communication. In the case study, we extend it to a multi-user scenario and summarize three trade-offs of the method. Finally, we conduct a qualitative analysis to assess the impact of three factors that have been overlooked in terrain-based UAV deployment.

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