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 …
… architecture that allows the application of optical sensing and takes advantage of the mentioned benefits, in addition to harnessing the benefits of wirelessnetworks. This integrated …
… • In Section II, we provide a comprehensive overview on potential applications of UAVs in a plethora of wirelessnetworking scenarios. These applications will provide motivating …
… First, we categorize and explain distinct aspects of AI that can address wirelessnetwork security threats. Although wirelessnetwork security threats are well investigated in different …
Y Sun, M Peng, Y Zhou, Y Huang… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
… advocated the applications of ML in wireless communication. … of the applications of ML in wireless communication, which … , networking and mobility management in the network layer, …
… The concept of cellular wirelessnetworks emerged in the 1980s with the first generation analog radio communications systems (1G). These were an evolution of trunked radio systems …
… systematically reviewed for their applicability to wireless systems. This survey bridges the … with a focus on wirelessnetworks. Specifically, we review the latest applications of DML in …
M Luvisotto, Z Pang, D Dzung - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
… is to use wired real-time Ethernet networks such as Profinet or EtherCAT. This paper … the design of wirelessnetworks able to satisfy these ultrahigh requirements, called wireless high …
… Networking is a field of integration, hardware and software, protocols and standards, simulation and testbeds, wired and wireless, VLSI and … well-performing network. That is the charm of …