… configurations, and network infrastructures. In this context, … machine learning (ML) model
can be employed. Hence, in this paper, we propose and explore a two-stage machine learning …

… and underwater networks to provide ubiquitous and unlimited wireless connectivity. We also
discuss artificial intelligence (AI) and machine learning [1], [2] for autonomous networks and …

… artificial intelligence (AI)/machine learning (ML), quantum communication/quantum machine
learning … In this article, we provide a detailed overview of the 6G network dimensions with air …

… Moreover, we discuss many of the deep learning methods to be used in 6G, provide an
accurate count of papers discussing next-gen networks between 2015 and 2020, and show how …

… This section introduces various application areas of machine learning in 5G and BG
networks. The ML in the network can be applied for parameter estimation and performance …

… Moreover, machine learning (ML) and deep learning (DL) stand as two sophisticated AI …
We present the 5G/6G emerging wireless technologies that are currently leading the …

… The secret to managing all that data without hiccups and with less power use is machine
learning. The 5G network can evaluate data trends and employ learned models to transfer data …

… In this paper, waveform selection approaches are proposed based on machine learning (ML)
with single-stage and multi-stage networks for the waveform management in the same …

… two approaches, one based on machine learning and another on evolutionary … network
simulation data and the results show their high accuracy and feasibility to be employed in 5G/6G …

… To include intelligence and adaptivity within the spectrum sharing techniques, artificial
intelligence (AI) and machine learning (ML) algorithms must be adopted. These methods, which …