Investigating Strategic Trends for Energy Efficiency in NOMA-UAV Networks

This paper investigates strategies for achieving low latency and energy efficiency in UAV -based non-orthogonal multiple access (NOMA) networks, which are essential for supporting the growing number of IoT devices in modern communication systems, particularly in 5G and beyond. UAVs provide flexibility in infrastructure-limited environments, making them critical components in these networks. The paper reviews various techniques to enhance energy efficiency and analyzes the interaction between proposed algorithms and energy performance. Through simulations and theoretical analysis, the study demonstrates that strategic system design adjustments significantly improve both energy efficiency and network performance across diverse scenarios. The research highlights recent trends and validates the effectiveness of the proposed methods.

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Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1109/ictc62082.2024.10827553
Primary Topic
UAV Applications and Optimization
Type
article
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Investigating Strategic Trends for Energy Efficiency in NOMA-UAV Networks

Hyung Tae Lee, Hyosu Kim, Sungrae Cho, Seonghun Hong et al.
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UAV Applications and Optimization
article

Investigating Strategic Trends for Energy Efficiency in NOMA-UAV Networks

Hyung Tae Lee, Hyosu Kim, Sungrae Cho, Seonghun Hong, Jeongyeup Paek, Yongseok Son
article en

Abstract

This paper investigates strategies for achieving low latency and energy efficiency in UAV -based non-orthogonal multiple access (NOMA) networks, which are essential for supporting the growing number of IoT devices in modern communication systems, particularly in 5G and beyond. UAVs provide flexibility in infrastructure-limited environments, making them critical components in these networks. The paper reviews various techniques to enhance energy efficiency and analyzes the interaction between proposed algorithms and energy performance. Through simulations and theoretical analysis, the study demonstrates that strategic system design adjustments significantly improve both energy efficiency and network performance across diverse scenarios. The research highlights recent trends and validates the effectiveness of the proposed methods.

Chung-Ang University (KR)
Affordable and clean energy
Openalex Percentile: Top 57%
UAV Applications and Optimization
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