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This research explores a framework integrating unmanned aerial vehicle (UAV) with mobile-edge computing (MEC) to address the computational constraints of edge IoT device (EID). By deploying a UAV as an edge server, the system supports two EID clusters, leveraging nonorthogonal multiple access (NOMA) to optimize task offloading efficiency. The study derives analytical closed-form expressions for energy outage probability (EOP) under the Nakagami-m fading channel, accounting for the effects of imperfect CSI (iCSI) and imperfect SIC (iSIC) System performance is assessed through these metrics, and the theoretical findings are validated using Monte-Carlo simulations, confirming the accuracy of the proposed UAV-enabled MEC framework.

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Energy Outage Analysis for NOMA-Based UAV-MEC with Imperfect CSI and SIC in IoT Network

  • 会议论文

  • 发表日期：

    2026年

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  • Anh-Nhat Nguyen,
  • Hai-Dang Le,
  • Gia-Huy Nguyen,
  • Khai Nguyen,
  • Tung-Son Ngo,
  • Ngoc-Anh Bui,
  • Phuong-Chi Le,
  • Manh-Duc Hoang,
  • Tien-Dat Trinh,
  • Tuan-Anh Hoang

摘要

This research explores a framework integrating unmanned aerial vehicle (UAV) with mobile-edge computing (MEC) to address the computational constraints of edge IoT device (EID). By deploying a UAV as an edge server, the system supports two EID clusters, leveraging nonorthogonal multiple access (NOMA) to optimize task offloading efficiency. The study derives analytical closed-form expressions for energy outage probability (EOP) under the Nakagami-m fading channel, accounting for the effects of imperfect CSI (iCSI) and imperfect SIC (iSIC) System performance is assessed through these metrics, and the theoretical findings are validated using Monte-Carlo simulations, confirming the accuracy of the proposed UAV-enabled MEC framework.