Multi-layer Unmanned Aerial Vehicle Networks: Modeling and Performance Analysis

Dongsun Kim, Jemin Lee, Tony Q.S. Quek

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


In this paper, we establish a foundation for the multi-layer aerial networks (MANs), which are modeled as K layer aerial networks (ANs), where each layer has unmanned aerial vehicles (UAVs) with different densities, floating altitudes, and transmission power. To make the framework applicable for various scenarios in MAN, we consider the transmitter- and the receiver-oriented node association rules as well as the air-to-ground and air-to-air channel models, which form line of sight links with a location-dependent probability. We then newly analyze the association probability, the main link distance distribution, successful transmission probability (STP), and area spectral efficiency (ASE) of MAN. The upper bounds of the optimal densities that maximize STP and ASE are also provided. Finally, in the numerical results, we show the optimal UAV densities of each AN that maximize the ASE and the STP decrease with the altitude of the network. We also show that when the total UAV density is fixed for two layer AN, the use of single layer in higher(lower) altitude only for all UAVs can achieve better performance for low(high) total density case. Otherwise, distributing UAVs in two layers, i.e., MAN, achieves better performance.

Original languageEnglish
Article number8859647
Pages (from-to)325-339
Number of pages15
JournalIEEE Transactions on Wireless Communications
Issue number1
Publication statusPublished - 2020 Jan

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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