… learning, unsupervised learning, and reinforcementlearning (… have found applications in wirelesscommunications. Here … then highlight their applications in wirelesscommunications. …
… the application of machinelearning techniques to address key problems in IoT wireless communications … a brief discussion of the application of machinelearning in IoT beyond wireless …
… a majority of intelligent applications will be deployed at the edge of wireless networks. This … applications at various edge devices. Accordingly, a new research area, called edge learning…
Y Sun, M Peng, Y Zhou, Y Huang… - IEEE Communications …, 2019 - ieeexplore.ieee.org
… successful applications to … applications of ML in wirelesscommunication. This paper comprehensively surveys the recent advances of the applications of ML in wirelesscommunication, …
… between artificial intelligence, machinelearning, and deeplearning. This article … machine learning and deeplearningapplications in 5G/B5G mobile and wirelesscommunications. …
A Bajaj - arXiv preprint arXiv:2101.08119, 2021 - arxiv.org
… 3 papers on machinelearningapplications in wirelesscommunication technology. … machine learning in wirelesscommunication, types of machinelearning techniques used in wireless …
X Zhou, M Sun, GY Li, BHF Juang - China Communications, 2018 - ieeexplore.ieee.org
… We discuss practical applications of these techniques to wirelesscommunication … applications of cognitive radio and machinelearning to the existing and future wirelesscommunication …
… wirelesscommunication networks, their architectures and platforms, computation and communication … We review popular applications of DML in wirelesscommunications. In particular, …
… machinelearning has been successfully demonstrated efficient handling big data. In this paper, applying machinelearning … Machinelearning in different channel modeling applications. …