Air-Ground Covert Cooperative Cognitive Radio Networks

  • Qunshu Wang*
  • , Chengwen Xing
  • , Nan Zhao*
  • , Dusit Niyato
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this paper, we design a novel unmanned aerial vehicle (UAV) aided covert cooperative cognitive radio (CR) scheme, where a UAV as the secondary transmitter can send its own covert signal to a secondary receiver while guaranteeing the quality of service for the primary user (PU). To accomplish the covert transmission of the secondary user, the PU's signal is applied as a friendly interference to interrupt the detection of wardens. We first calculate the minimum detection error probability and Kullback-Leibler divergence under the finite blocklength constraint. Then, the average effective throughput maximization problem under the probabilistic line-of-sight channel is constructed by jointly optimizing the UAV's transmit power and trajectory. Finally, simulation results demonstrate that the proposed UAV-assisted cooperative CR scheme is effective for covert air-ground transmissions against multiple wardens.

Original languageEnglish
Title of host publicationICCCN 2025 - 34th International Conference on Computer Communications and Networks
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331508982
DOIs
Publication statusPublished - 2025
Externally publishedYes
Event34th International Conference on Computer Communications and Networks, ICCCN 2025 - Tokyo, Japan
Duration: 4 Aug 20257 Aug 2025

Publication series

NameProceedings - International Conference on Computer Communications and Networks, ICCCN
ISSN (Print)1095-2055

Conference

Conference34th International Conference on Computer Communications and Networks, ICCCN 2025
Country/TerritoryJapan
CityTokyo
Period4/08/257/08/25

Keywords

  • Covert communication
  • cooperative cognitive radio networks
  • finite blocklength
  • unmanned aerial vehicle

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