… wireless coverage and higher user throughput capacity than ground BSs. Additionally, due
to the fully controllable mobility of three-dimensional (3D) space, UAVs can … wireless network …

… deep learning approach to build neural networks for training and validation of the original
UAV … some work related to the RF fingerprint-based UAV detecting method. In general, the RF-…

… into future cellular networks as new aerial mobile users. Providing … cellular-connected UAVs
changes with altitude and analyzed the corresponding implications on mobility performance […

… RL approach with … throughput compared to UAV mobility control based on SNR estimation.
Furthermore, in Reference [65], a cellular network is considered that consists of a set of UAVs …

… , mobility, and adaptive altitude, UAVs can act as mobile base stations … UAVs-enabled
wireless networks to deal with their challenges. Moreover, we address the suitable deep learning …

… Because of its effective mobility, elastic development, and cost-effectiveness, UAVs are
accessible … In addition, UAVs are applied as mobile relays for extending the ability and network …

… In this section, we briefly explain different machine learning approaches those are … defines
the performance metrics used for the assessment of different machine learning approaches. …

… Due to the vibrant and rapid mobility nature of UAVs, they can be generally employed in a …
fulfill the needs of 5G and beyond cellular network applications. The proposed architecture is …

… Another example comes from the smart city paradigm, where AI techniques are applied to
enhance transport in the new mobility era [15]. In addition, wireless networks may be used for …

… the latter, UAV-BSs assist the existing cellular network. We then … phenomena in UAV-assisted
wireless networking to showcase … UAVs can also be used for backhauling in high mobility …