Machine Learning for Predictive Deployment of UAVs With Multiple Access

Machine Learning for Predictive Deployment of UAVs With Multiple Access

This paper presents a machine learning-based framework for the predictive deployment of unmanned aerial vehicles (UAVs) as flying base stations (BSs) to offload heavy traffic from ground BSs. To account for time-varying traffic distribution, a long short-term memory (LSTM)-based prediction algorithm...

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Bibliographic Details
Main Authors: Feiyang Guo, Linyan Lu, Zelin Zang, Mohammad Shikh-Bahaei
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
UAV deployment
LSTM
K-means
EM
GMM
RSMA
Online Access:https://ieeexplore.ieee.org/document/10092916/

Internet

https://ieeexplore.ieee.org/document/10092916/

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