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This study investigates the use of an Unmanned Aerial Vehicle (UAV) acting as a relay to assist in forwarding tasks from Internet of Things (IoT) devices applying uplink Non-Orthogonal Multiple Access (NOMA) to a Base Station (BS) equipped with a Mobile Edge Computing (MEC) server. To evaluate the offloading performance of the system, we derive a closed-form expression for the Successful Computation Probability (SCP) under the Nakagami-m model and consider two techniques: Selection Combining (SC) and Maximum Ratio Combining (MRC). The results provide insights into the system performance based on parameters such as the average transmission Signal-to-Noise Ratio (SNR), the number of antennas, and the location and altitude of the UAV.

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A NOMA-MEC and SC/MRC Enabled Framework in UAV-Relayed Networks: Performance Offloading Analysis

  • 会议论文

  • 发表日期：

    2026年

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

摘要

This study investigates the use of an Unmanned Aerial Vehicle (UAV) acting as a relay to assist in forwarding tasks from Internet of Things (IoT) devices applying uplink Non-Orthogonal Multiple Access (NOMA) to a Base Station (BS) equipped with a Mobile Edge Computing (MEC) server. To evaluate the offloading performance of the system, we derive a closed-form expression for the Successful Computation Probability (SCP) under the Nakagami-m model and consider two techniques: Selection Combining (SC) and Maximum Ratio Combining (MRC). The results provide insights into the system performance based on parameters such as the average transmission Signal-to-Noise Ratio (SNR), the number of antennas, and the location and altitude of the UAV.