… eccentric expression to open a book on wireless communications. Alluding to that maxim, the
… current developments and future of wireless communication networks. This book basically …

… learning problems for future wireless communication channel modeling. Even with the high
demand to emerge machine learning to … and how to involve machine learning to it. This paper …

… The authors advocate a new learning paradigm called fog learning, which will intelligently
distribute … Fog learning enhances federated learning along three major dimensions: network, …

… of supervised, unsupervised, and reinforcement learning, taking a look at what has been …
mobile and wireless communication, organizing the literature in terms of the types of learning. …

… ], and thus parallel processing inherent in machine learning can be favorably leveraged to
… To this end, in this section, we discuss three such promising paradigms, namely, the Internet …

… such as wireless communication, machine learning, artificial intelligence, 5G, blockchain,
and edge computing [59]. Wireless communication enables devices to communicate with each …

… learning algorithms in wireless communications and channel modeling. We propose a big
data and machine learning enabled wireless … learning paradigms for next-generation wireless …

… According to this paradigm, nodes in a WPCN can be equipped with hardware capable of
… to increase the energy efficiency of wireless communication networks. The economic and …

… ABSTRACT The sixth generation (6G) wireless communication network presents itself as a
… service paradigm that offers a new application for the future of 6G wireless communication …

… wireless routing paradigm, referred to as Opportunistic Routing. The counterpart wireless …
In the following, we investigate how do recent works use learning theory to let the wireless …