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Unmanned aerial vehicles (UAVs) will be an integral part of the next generation wireless communication networks. Their adoption in various communication-based applications is expected to improve coverage and spectral efficiency, as compared to traditional ground-based solutions. However, this new degree of freedom that will be included in the network will also add new challenges. In this context, the machine-learning (ML) framework is expected to provide solutions for the various problems thatdoi:10.3390/s19235170 pmid:31779133 pmcid:PMC6929112 fatcat:pnur7lmpj5bj7poebmdfpd6bhi