Deep Learning-Aided Downlink Beamforming Design and Uplink Power Allocation for UAV Wireless Communications with LoRa

Deep Learning-Aided Downlink Beamforming Design and Uplink Power Allocation for UAV Wireless Communications with LoRa

In this paper, we consider an unmanned aerial vehicle (UAV) wireless communication system where a base station (BS) equipped multi antennas communicates with multiple UAVs, each equipped with a single antenna, using the LoRa (Long Range) modulation. The traditional approaches for downlink beamformin...

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Bibliographic Details
Main Authors: Yeong-Rok Kim, Jun-Hyun Park, Jae-Mo Kang, Dong-Woo Lim, Kyu-Min Kang
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Applied Sciences
Subjects:
beamforming design
convex optimization
deep learning
LoRa (long range)
UAV (unmmaned aerial vehicle)
Online Access:https://www.mdpi.com/2076-3417/12/10/4826

Internet

https://www.mdpi.com/2076-3417/12/10/4826

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