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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)620-631
Number of pages12
JournalIEEE Open Journal of Vehicular Technology
Volume5
DOIs
StatePublished - 2024

Keywords

  • blockage verification
  • network performance
  • terrain information
  • UAV deployment

ASJC Scopus subject areas

  • Automotive Engineering

Fingerprint

Dive into the research topics of 'Exploring UAV Networking from the Terrain Information Completeness Perspective: A Tutorial'. Together they form a unique fingerprint.

Cite this