This study presents a framework that integrates backscatter communication (BC) and nonorthogonal multiple access (NOMA) to enhance the efficacy of unmanned aerial vehicle (UAV)-assisted mobile-edge computing (MEC) systems. Utilizing NOMA, numerous Internet of Things (IoT) devices can concurrently offload their computational tasks to the UAV, while BC facilitates energy-efficient data transmission through the reflection of ambient signals. We devised closed-form formulas for the successful computation probability (SCP) to assess the offloading performance, utilizing the Nakagami-m fading channel model. Finally, numerical findings are provided to corroborate the accuracy of our study.

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Backscatter Communication and NOMA in UAV-Assisted MEC IoT Networks

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

摘要

This study presents a framework that integrates backscatter communication (BC) and nonorthogonal multiple access (NOMA) to enhance the efficacy of unmanned aerial vehicle (UAV)-assisted mobile-edge computing (MEC) systems. Utilizing NOMA, numerous Internet of Things (IoT) devices can concurrently offload their computational tasks to the UAV, while BC facilitates energy-efficient data transmission through the reflection of ambient signals. We devised closed-form formulas for the successful computation probability (SCP) to assess the offloading performance, utilizing the Nakagami-m fading channel model. Finally, numerical findings are provided to corroborate the accuracy of our study.