… The recent success of deep learning underpins new and … gap between deep learning and
mobile and wireless networking … -art in deep learning techniques with potential applications to …

… Extensive motivation is given for why deep learning based on artificial neural networks will
… of future wireless communication networks, and our vision of how artificial neural networks …

… large-scale super-dense networks, and so on. The amazing success of deep learning in
various fields, … Hence, in this review, a pair of dominant methodologies of using DL for wireless …

… Deep learning improves the performance when the model-based methods fail. … deep
learning applies to wireless communication security. In this context, adversarial machine learning …

… However, we wonder whether there are models for deep learning-based wireless … of deep
learning-based wireless physical layers and describe several novel and efficient deep learning…

… of using deep learning for wireless resource allocation with application to vehicular networks.
We review major recent studies that mobilize the deep-learning philosophy in wireless …

… Moreover, they have evaluated their system using the advanced wireless network datasets.
… the deep learning methods. In addition, they are also used the standard machine learning …

… Taken together, this paper shows that deep learning is promising for wireless network
optimization tasks, especially when the models are difficult or expensive to obtain and when …

… wireless channel quality also exhibits this property, in this paper, we explore deep learning
models to address the wireless … the received signal strength metric to study wireless channel …

… Recently, it has been shown in [20], [21] that deep neural networks … deep learning has
received significant attention [23]–[31], no prior work has considered deep learning aided wireless …