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This article studies a system of unmanned aerial vehicle (UAV)-enabled wireless power transfer (WPT) cooperative nonorthogonal multiple access (NOMA)-based mobile-edge computing (MEC) operating over Nakagami-m fading channels within Internet of Things (IoT) networks. To assess the robustness of the system efficacy, the closed-formed formulation of a metric termed offloading outage probability (OOP) is derived that involves the imperfect channel state information (iCSI) and imperfect successive interference cancellation (iSIC) scenarios in the model evaluation. Furthermore, we introduce an optimization problem aimed at minimizing OOP that is addressed by an approach based on genetic algorithm (GA). Eventually, numerical findings are conducted to validate the robustness of the proposed ’s performance with diverse parameters.

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UAV-Enabled Wireless Power Transfer Cooperative NOMA-Based MEC in IoT Networks with Imperfect CSI and SIC

  • 会议论文

  • 发表日期：

    2026年

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

摘要

This article studies a system of unmanned aerial vehicle (UAV)-enabled wireless power transfer (WPT) cooperative nonorthogonal multiple access (NOMA)-based mobile-edge computing (MEC) operating over Nakagami-m fading channels within Internet of Things (IoT) networks. To assess the robustness of the system efficacy, the closed-formed formulation of a metric termed offloading outage probability (OOP) is derived that involves the imperfect channel state information (iCSI) and imperfect successive interference cancellation (iSIC) scenarios in the model evaluation. Furthermore, we introduce an optimization problem aimed at minimizing OOP that is addressed by an approach based on genetic algorithm (GA). Eventually, numerical findings are conducted to validate the robustness of the proposed ’s performance with diverse parameters.