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Offloading Performance for UAV-Aided NOMA-MEC with WPT-Enabled for IoT Networks

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Abstract

This article investigates the robust offloading performance of an unmanned aerial vehicle (UAV)-aided nonorthogonal multiple access (NOMA) incorporating mobile-edge computing (MEC) with the wireless power transfer (WPT)-enabled in Internet of Things (IoT) networks. To assess the system efficacy, we derive the closed-formed expressions of outage successful computation probability (OSCP) under Nakagami-m fading channel. Subsequently, we formulate a system optimization problem of maximizing OSCP by utilizing particle swarm optimization (PSO) algorithm. Numerical findings are implemented with a variety of parameters, thereby validating the precision of our work.

Keywords

Internet of things unmanned aerial vehicle non-orthogonal multiple access wireless power transfer radio frequency energy harvesting mobile edge computing

Authors

G. -H. Nguyen
ICT Department, FPT University, Hanoi, Vietnam
A. -N. Nguyen
ICT Department, FPT University, Hanoi, Vietnam
T. -S. Ngo
ICT Department, FPT University, Hanoi, Vietnam
N. -A. Bui
ICT Department, FPT University, Hanoi, Vietnam
P. -C. Le
ICT Department, FPT University, Hanoi, Vietnam
M. -D. Hoang
ICT Department, FPT University, Hanoi, Vietnam
T. -D. Trinh
ICT Department, FPT University, Hanoi, Vietnam
M. -T. Luu
ICT Department, FPT University, Hanoi, Vietnam

Publication Details

Type
proceedings
Publisher
IEEE
Volume
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Citations
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