Delay-Sensitive Secure NOMA Transmission for Hierarchical HAP-LAP Medical-Care IoT Networks

Dawei Wang, Yixin He, Keping Yu*, Gautam Srivastava, Laisen Nie, Ruonan Zhang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

55 Citations (Scopus)


Medical-care Internet of Things enables rapid medical assistance by providing comprehensive and clear healthy information. However, due to the limited infrastructure, it is difficult to quickly and securely transmit medical-care information in poverty-stricken or disaster-stricken areas. To tackle the above situation, in this article, we propose a delay-sensitive secure nonorthogonal multiple access (NOMA) transmission scheme with the high-altitude platform (HAP) and low-altitude platforms (LAPs) cooperated to securely provide delay-sensitive medical-care services. In the proposed scheme, we first design a novel HAP-LAP secure transmission framework to provide NOMA communication services to multiple hotspots. Constrained by the limited power and spectrum, we formulate an optimization problem, such that the privacy information delay is minimized. For thisnonconvex optimization problem, we design an alternating optimization framework, where the power, spectrum, and LAPs' location are tackled in turn. In addition, we theoretically analyze the performance superiority compared with the orthogonal multiple access scheme and derive the secrecy outage probability closed-form expression. Finally, numerical results show the performance superiority of the proposed scheme compared with the current works with respect to the secure information delay.

Original languageEnglish
Pages (from-to)5561-5572
Number of pages12
JournalIEEE Transactions on Industrial Informatics
Issue number8
Publication statusPublished - 2022 Aug 1
Externally publishedYes


  • Hierarchical high-altitude platform (HAP)low-altitude-platform (LAP)
  • information delay
  • medical Internet of Things (IoT)
  • nonorthogonal multiple access (NOMA)
  • security

ASJC Scopus subject areas

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


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