… 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…

… In the wireless communications domain, the amount … applications of deep learning such as
computer vision and speech recognition. Due to the curse of dimensionality [2], deep learning …

… how deep learning applies to wireless communication security. In this context, adversarial
machine learning … Third, we discussed the application of adversarial deep learning to launch …

… of wireless communication systems. We conclude the paper with some future applications
… research interests are in future wireless communication technologies, Machine Learning for …

… However, compared with the application of machine learning in other fields, such as …
communication systems. Various problems in terms of communication system, machine learning …

… optimization problems within communication and signal processing applications, and show
… Optimization has classically been playing a vital role in solving wireless communication …

… detection is having some important application to detect the fraud detection. A … a deep
learning approach is proposed in this work. This work also implements different machine learning …

… role of artificial intelligence (AI), machine learning (ML), and deep reinforcement learning
(DRL… latency have led the existing mobile wireless communication system towards 5G and B5G …

… more unpredictable wireless communication environments … applications in channel
modeling and estimation are summarized as follows. ■ Supervised learning: Supervised learning …

… its applications, this paper contributes a brief concept on one of the AI methods known as
machine learning … in wireless communication, the traditional ITS has to care about the vehicular …