DoA Prediction Based Beamforming with Low Training Overhead for Highly-Mobile UAV Communication with Cellular Networks

DoA Prediction Based Beamforming with Low Training Overhead for Highly-Mobile UAV Communication with Cellular Networks

In supporting communications with unmanned aerial vehicles (UAVs) as aerial user equipments (aUEs) in cellular systems, the current beamforming schemes based on channel state estimation are facing severe challenges from the pilot contamination effect, especially in 5G and future networks where the c...

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Bibliographic Details
Main Authors: Tianxiao Zhao, Chunbo Luo, Jianming Zhou, Dechun Guo, Ning Chen, Pablo Casaseca-de-la-Higuera
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Applied Sciences
Subjects:
unmanned aerial vehicle (UAV)
cellular network
direction of arrival (DoA)
training overhead
beamforming
steering vector
Online Access:https://www.mdpi.com/2076-3417/10/13/4420

Internet

https://www.mdpi.com/2076-3417/10/13/4420

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