A Deep Learning Algorithm for UAV Placement in 6G Cell-Free Massive MIMO Networks

Cell-Free massive MIMO (CF-mMIMO) represents a significant advancement in the sixth-generation communication systems (6G), characterized by numerous distributed access points managed collectively to enhance user service. This paper introduces a novel strategy employing Unmanned Aerial Vehicles (UAVs) as mobile base stations to capitalize on the inherent flexibility, ease of deployment, and extensive operational scope provided by CF-mMIMO. We develop a deep learning model that facilitates the rapid deployment of UAVs, ensuring dynamic and efficient communication coverage. This model not only predicts the aggregate data transmission rates but also enables UAVs to adapt swiftly to changes in user location, thereby optimizing overall network performance.