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Updated: Sep 10, 2025

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Covert communication performance evaluation in UAV-assisted rate-splitting multiple access systems.

Nguyen Hong Nhu1, Le Chi Bao2, Bui Vu Minh3

  • 1Faculty of Engineering and Technology, Saigon University, Ho Chi Minh City, Vietnam.

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Summary
This summary is machine-generated.

Rate-splitting multiple access (RSMA) enhances covert communication in unmanned aerial vehicle (UAV) networks. RSMA significantly improves system covertness compared to non-orthogonal multiple access (NOMA).

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Area of Science:

  • Wireless Communication
  • Network Security
  • Aerial Networks

Background:

  • Unmanned aerial vehicle (UAV) networks face security challenges, particularly covert communication.
  • Existing multiple access schemes may not sufficiently address the covertness requirements in UAV-based systems.
  • Monitoring by adversaries (e.g., Willie) necessitates robust security measures.

Purpose of the Study:

  • To investigate the application of rate-splitting multiple access (RSMA) for covert communication in multi-user UAV downlink networks.
  • To analyze the system's covertness and performance under Nakagami-m fading channels.
  • To optimize UAV deployment for maximum system covertness.

Main Methods:

  • Developed a comprehensive analytical framework for performance evaluation.
  • Derived closed-form expressions for key performance metrics: detection error probability (DEP), outage probability (OP), and ergodic rate (ER).
  • Employed an alternating optimization algorithm for UAV static positioning and conducted asymptotic analysis in high SNR regions.

Main Results:

  • Quantified system covertness using Willie's detection error probability (DEP).
  • Analyzed legitimate users' outage probability (OP) and ergodic rate (ER) under Nakagami-m fading.
  • Identified optimal UAV positions to maximize covertness.
  • RSMA demonstrated significant covertness advantages over non-orthogonal multiple access (NOMA).

Conclusions:

  • RSMA is a promising technique for enhancing covert communication in UAV networks.
  • The proposed analytical framework and optimization algorithm effectively assess and improve system covertness.
  • RSMA outperforms NOMA in achieving superior covertness in monitored UAV environments.