Performance Analysis and Optimization of UAV-Assisted Networks: Single UAV With Multiple Antennas Versus Multiple UAVs With Single Antenna

Ahmed H.Abd El-Malek, Mohamed A. Aboulhassan, Anas M. Salhab*, Salam A. Zummo*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

In this article, we make a comparison between the following two unmanned aerial vehicles (UAVs) network models: 1) multiple UAVs equipped with a single antenna and 2) a single UAV equipped with multiple antennas (MAs). In order to assess the performance of the two network models, we derive closed-form expressions for the outage probability, average symbol error probability, ergodic capacity, and energy efficiency of both models. After that, we formulate a joint optimization problem to obtain the optimal power values and UAV altitudes using the particle swarm optimization technique. We consider in the first scenario both uniformly and nonuniformly distributed UAVs assuming Nakagami-m fading channels. Numerical results are obtained for different simulation scenarios to validate our proposed model, followed by conclusions to show its effectiveness. The results show the superiority of the multiple uncorrelated antennas single UAV model over a single antenna multiple UAV model. Moreover, several comparisons have been performed between blanket transmission mode (BTM) and single transmission selection mode (STSM) for the multiple UAVs model, which reveal that the BTM outperforms the STSM for different systems parameters.

Original languageEnglish
Pages (from-to)3468-3479
Number of pages12
JournalIEEE Systems Journal
Volume17
Issue number3
DOIs
StatePublished - 1 Sep 2023

Bibliographical note

Publisher Copyright:
© 2007-2012 IEEE.

Keywords

  • Artificial intelligence (AI)
  • energy efficiency (EE)
  • performance analysis
  • power allocation
  • unmanned aerial vehicles (UAVs)

ASJC Scopus subject areas

  • Information Systems
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Networks and Communications
  • Computer Science Applications

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