A Survey on Non-Orthogonal Multiple Access for Unmanned Aerial Vehicle Networks: Machine Learning Approach

A Survey on Non-Orthogonal Multiple Access for Unmanned Aerial Vehicle Networks: Machine Learning Approach

The rapid evolution of wireless communication has affected unmanned aerial vehicles (UAV), which are expected to be used in diverse applications in smart cities, military operations, and cellular networks. To address the significant impacts of rapid wireless communication advancements, along with th...

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Bibliographic Details
Main Authors: Meyra Chusna Mayarakaca, Byung Moo Lee
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Aerial networks
machine learning (ML)
non-orthogonal multiple access (NOMA)
unmanned aerial vehicles (UAV)
Online Access:https://ieeexplore.ieee.org/document/10494323/

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