… machinelearning solutions to endow wirelessnetworks with … the topic of machinelearning for wirelessnetwork design. The … , from machinelearning and wireless communications, that …
… wirelessnetworks can leverage intelligent, data-driven functions enabled by the integration of machinelearning (ML) notions across the wireless … how artificial neural networks (ANNs)-…
… resource utilization and prolong the lifespan of the network. In this paper, we present … machinelearning methods that were used to address common issues in wireless sensor networks (…
H Yang, X Xie, M Kadoch - IEEE Network, 2020 - ieeexplore.ieee.org
… machinelearning techniques and present their potential applications in intelligent wireless … Furthermore, we propose deep reinforcement learning for intelligent resource management …
… wireless systems equipped with machinelearning. We introduced the major families of machine learning … in the context of next-generation networks, including massive MIMOs, the smart …
… networks. In Section VI, we introduce some typical deep learning algorithms and their applications in wirelessnetworks. Some future research ideas and our conclusions are provided in …
P Sarao - International Journal of Engineering Research and …, 2019 - academia.edu
… algorithm in heterogeneous networks is a big … machinelearning and deep learning in wirelessnetworks. Due to the dynamic behaviour of network scenarios in several adhoc networks (…
… Machinelearning (ML) and AI can help in uncovering the unknown properties of wireless networks… inspection, and suggest novel ways to optimize network deployments and operations. …
… This paper provides a convenient reference for wireless sensor network infrastructure and … from machinelearning algorithms by reducing the security costs of wireless sensor networks …