Securing the UAV-Aided Non-Orthogonal Downlink in the Face of Colluding Eavesdroppers

Huabo Fu, Zhichao Sheng*, Ali A. Nasir, Ali H. Muqaibel, Lajos Hanzo

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Non-orthogonal unmanned aerial vehicle (UAV)-aided secure downlink transmissions are investigated. A single-antenna UAV serves multiple ground users in the face of multiple colluding eavesdroppers (EVs) and only imperfect location information of the EVs is available. Specially, a power splitting based secure non-orthogonal downlink transmission scheme is considered, where the transmit power is divided into two parts for transmitting confidential information and artificial noise. Explicitly, we maximize the minimum average secrecy rate among all the users by optimizing the UAV trajectory, the transmit power and the power splitting ratio. In order to tackle this non-convex optimization problem, we propose an iterative algorithm based on the block coordinate descent and successive convex approximation techniques. Numerical results demonstrate the superiority of our proposed algorithm.

Original languageEnglish
Pages (from-to)6837-6842
Number of pages6
JournalIEEE Transactions on Vehicular Technology
Volume71
Issue number6
DOIs
StatePublished - 1 Jun 2022

Bibliographical note

Publisher Copyright:
© 1967-2012 IEEE.

Keywords

  • Artificial noise
  • Unmanned aerial vehicle
  • colluding eavesdroppers
  • non-orthogonal transmission
  • secure transmission

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Automotive Engineering

Fingerprint

Dive into the research topics of 'Securing the UAV-Aided Non-Orthogonal Downlink in the Face of Colluding Eavesdroppers'. Together they form a unique fingerprint.

Cite this