… the coupling between communication and learning in edge learning systems. To materialize … wirelesscommunication in edge learning, collectively called learning-driven communication…
… of machinelearning techniques. Then, by adopting a bottom-up approach, we examine existing work on machinelearning … of machinelearning in IoT beyond wirelesscommunication. …
… artificial intelligence, machinelearning, and deep learning. This article covers machine learning and deep learning applications in 5G/B5G mobile and wirelesscommunications. …
… machinelearning techniques, such as deep neural networks, can transform how we design and optimize future communication … of wireless networks as platforms for machinelearning …
X Zhou, M Sun, GY Li, BHF Juang - China Communications, 2018 - ieeexplore.ieee.org
… machinelearning algorithms that enhance the perception capability and reconfigurability in wireless … We discuss practical applications of these techniques to wirelesscommunication …
… , machinelearning has been successfully demonstrated efficient handling big data. In this paper, applying machinelearning … Where the main focus of this paper is how machinelearning …
… This article reviewed the benefits of artificial intelligence aided wireless systems equipped with machinelearning. We introduced the major families of machinelearning algorithms and …
Y Liu, S Bi, Z Shi, L Hanzo - IEEE Vehicular Technology …, 2019 - ieeexplore.ieee.org
… machinelearning, along with their potential applications in next-generation (NG) wireless … In particular, a unified, big data-aided machinelearning framework is proposed that consists …
D Adesina, CC Hsieh, YE Sagduyu… - IEEE Communications …, 2022 - ieeexplore.ieee.org
… including deep learning for wireless communications and adversarial machinelearning, they … more in-depth discussions of AML in wireless communications. However, contrary to many …