An HAP and UAVs Collaboration Framework for Uplink Secure Rate Maximization in NOMA-Enabled IoT Networks

Dawei Wang, Menghan Wu, Yixin He, Linna Pang, Qian Xu, Ruonan Zhang

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

In this paper, we propose a high-altitude platform (HAP) and unmanned aerial vehicles (UAVs) collaboration framework in non-orthogonal multiple access (NOMA)-enabled Internet of Things (IoT) networks with the presence of an eavesdropping UAV. For the considered framework, we investigate the uplink secure transmission by optimizing channel allocation from UAVs to HAP, users’ power, and UAVs’ three-dimensional (3D) position. To solve this non-convex problem, we adopt the K-means cluster pair algorithm to divide paired users into different groups and each cluster can be served by a corresponding UAV. Then, the formulated optimization problem is decoupled into three subproblems and tackled iteratively based on the block coordinate descent (BCD) algorithm. Finally, simulation results verify that the proposed network architecture can achieve a higher secure rate, faster convergence evolution, and lower complexity in comparison with the current works.

Original languageEnglish
Article number4501
JournalRemote Sensing
Volume14
Issue number18
DOIs
StatePublished - Sep 2022

Keywords

  • high-altitude platform (HAP)
  • Internet of Things (IoT)
  • non-orthogonal multiple access (NOMA)
  • secure rate
  • unmanned aerial vehicles (UAVs)

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