Original paper
Machine Learning-Based Hybrid Precoding with Robust Error for UAV mmWave Massive MIMO
Published: May 1, 2019
Abstract
Unmanned aerial vehicles (UAVs) can now be considered as aerial base stations (BSs) to support ultra-reliable and low-latency communications by establishing line-of-sight (LoS) connections to ground users. Moreover, combining UAVs with millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) will be a promissing solution. It can provide potentially high capacity wireless services due to their aerial positions and their ability to...
Paper Details
Title
Machine Learning-Based Hybrid Precoding with Robust Error for UAV mmWave Massive MIMO
Published Date
May 1, 2019
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