Sum Rate and Max-Min Rate for Cellular-Enabled UAV Swarm Networks

Bin Yang, Yongchao Dang, Tarik Taleb, Shikai Shen, Xiaohong Jiang

Research output: Contribution to journalArticleScientificpeer-review

5 Citations (Scopus)
63 Downloads (Pure)

Abstract

This paper investigates the fundamental rate performances in the highly promising cellular-enabled unmanned aerial vehicle (UAV) swarm networks, which can provide ubiquitous wireless connectivity for supporting various Internet of things (IoT) applications. We first provide the formulations for the sum rate maximization and max-min rate, which are two nonlinear optimization problems subject to the constraints of UAV transmit power and antenna parameters at base station (BS). For the sum rate maximization problem, we propose an iterative algorithm to solve it utilizing the Karush-Kuhn-Tucker (KKT) condition. For the max-min rate problem, we transform it to an equivalent conditional eigenvalue problem based on the nonlinear Perron-Frobenius theory, and thus design an iterative algorithm to obtain the solution of such problem. Finally, numerical results are presented to indicate the effect of some key parameters on the rate performances in such networks.

Original languageEnglish
Pages (from-to)1073-1083
Number of pages11
JournalIEEE Transactions on Vehicular Technology
Volume72
Issue number1
Early online date6 Sept 2022
DOIs
Publication statusPublished - Jan 2023
MoE publication typeA1 Journal article-refereed

Keywords

  • Antenna arrays
  • Array signal processing
  • Autonomous aerial vehicles
  • directional antennas
  • IoT
  • Minimax techniques
  • Optimization
  • performance optimization
  • power control
  • Trajectory
  • UAV networks
  • Uplink

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