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Backhaul-Constrained Coverage Analysis of Integrated High and Low Altitude Platforms Aerial Communication System in Post-Disaster Areas

  • Yikun Zhao
  • , Fanqin Zhou
  • , Lei Feng
  • , Wenjing Li
  • , Yao Sun
  • , Muhammad Ali Imran
  • Beijing University of Posts and Telecommunications
  • University of Glasgow

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Coverage analysis of aerial communication networks based on high altitude platforms (HAPs) and low altitude platforms (LAPs) is of great significance to understand the service provisioning capability of aerial base stations. This letter uses stochastic geometry to analyze network coverage of an integrated HAP and LAP (IHL) system with respect to backhaul constraints, where LAPs aim to provide services for ground user equipments in the malfunction area and a HAP is to provide backhaul connectivity for LAPs. Based on stochastic geometry theory, the analytical framework of the IHL system coverage is derived along with the analysis on the impact of some key parameters, such as aerial platform altitudes and LAP densities. The derived analytical framework can also provide insights for the backhaul design of LAP aerial base stations, which is also revealed in the numerical analyses part.

Original languageEnglish
Pages (from-to)1629-1633
Number of pages5
JournalIEEE Communications Letters
Volume27
Issue number6
DOIs
StatePublished - 1 Jun 2023
Externally publishedYes

Keywords

  • Aerial communication networks
  • high altitude platforms
  • stochastic geometry

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