Machine learning (ML) is a promising enabler for the fifth-generation (5G) communication
systems and beyond. By imbuing intelligence into the network edge, edge nodes can …

… capacity and the network infrastructure of a cellular system. Chapter 10 … networking
considerations for wide area wireless communication systems, and presents practical networking …

… architecture that allows the application of optical sensing and takes advantage of the
mentioned benefits, in addition to harnessing the benefits of wireless networks. This integrated …

… The concept of cellular wireless networks emerged in the 1980s with the first generation
analog radio communications systems (1G). These were an evolution of trunked radio systems …

… First, we categorize and explain distinct aspects of AI that can address wireless network
security threats. Although wireless network security threats are well investigated in different …

… communication systems, from the basic electromagnetic principles … principles underlying
propagation and antennas, basic concepts of antennas and their application to specific wireless …

… consumption, network load, interference and network capacity on … wireless hybrid networks.
This paper represents a technological overview of existing optical wireless hybrid networks. …

… systematically reviewed for their applicability to wireless systems. This survey bridges the …
with a focus on wireless networks. Specifically, we review the latest applications of DML in …

… conventional networks, terrestrial wireless networks, and wireless networks that must support
UAVs. … As we will also briefly discuss in Chapter 9, this wireless application of UAVs will be …

… (RIS) for wireless communications. We describe the working principles of reconfigurable …
INTRODUCTION IN the relentless pursuit to increase the capacity of wireless networks and …