Energy Optimization in Massive MIMO UAV-Aided MEC-Enabled Vehicular Networks

Energy Optimization in Massive MIMO UAV-Aided MEC-Enabled Vehicular Networks

This paper presents a novel unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) architecture for vehicular networks. It is considered that the vehicles should complete latency-critical computation-intensive tasks either locally with on-board computation units or by offloading part of the...

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Bibliographic Details
Main Authors: Emmanouel T. Michailidis, Nikolaos I. Miridakis, Angelos Michalas, Emmanouil Skondras, Dimitrios J. Vergados, Dimitrios D. Vergados
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Computation offloading
energy efficiency
massive multiple-input multiple-output (MIMO)
mobile edge computing (MEC)
unmanned aerial vehicle (UAV)
vehicular networks
Online Access:https://ieeexplore.ieee.org/document/9519704/

Internet

https://ieeexplore.ieee.org/document/9519704/

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