… learning and transfer learning. A thorough survey of the literature on deep learning for wireless
communication networks … of deep learning proves extremely useful for network design. …

… trends of DL-based wireless networks. This paper can help the readers to deeply understand
the state-of-the-art of the DL-based wireless network designs, and select interesting …

… is to resort to advanced machine learning techniques, in order … The recent success of deep
learning underpins new and … gap between deep learning and mobile and wireless networking …

… With the growth of mobile technology in the last decade, wireless networks have … network
resources and features are becoming available, which requires innovative system designs …

… algorithm in heterogeneous networks is a big … machine learning and deep learning in
wireless networks. Due to the dynamic behaviour of network scenarios in several adhoc networks (…

… Moreover, [6] and [7] comprehensively survey the applications of DL in designing IoT and
5G cellular networks at various layers of the protocol stack, respectively. In contrast to the …

… in wireless networks, which is demand constrained energy minimization problem in generic
multi-dimensional networks… of sample problems, we adopt deep learning algorithm to find the …

… network optimization. Analysis on the flow constrained optimization … design a deep learning
framework to find the latent relationship between flow information and link usage by learning …

… This article focuses on using machine and deep learning (ML/DL) for accurate TP in
cellular networks, illustrating design, … Cellular networks provide data in abundance. Each …

… wireless network design. Such ANN examples include echo state networks, liquid state
machine, and … Then, we provide an in-depth overview on the variety of wireless communication …