GPS-Aided Deep Learning for Beam Prediction and Tracking in UAV mmWave Communication

Millimeter-wave (mmWave) communication enables high data rates for cellular-connected Uncrewed Aerial Vehicles (UAVs). However, a robust beam management remains challenging due to significant path loss and the dynamic mobility of UAVs, which can destabilize the UAV-base station (BS) link. This resea...

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Hlavní autoři: Vendi Ardianto Nugroho, Byung Moo Lee
Médium: Artigo
Jazyk:Inglês
Vydáno: IEEE 2025-01-01
Edice:IEEE Access
Témata:
Millimeter wave communication
GPS
drone
UAV
deep learning
beam prediction
On-line přístup:https://ieeexplore.ieee.org/document/11072409/
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