… Meanwhile, deep learning, with many success stories in … of using deep learning for wireless
resource allocation with … the deep-learning philosophy in wireless resource allocation …

… deep neural network (DNN), which contains an autoencoder and a fully-connected neural
network, to learn the resource allocation … a DNN to learn a resource allocation pattern instead …

… paper, a deep learning (DL) framework for the optimization of the resource allocation in multi-…
Instead of solving the resulting resource allocation problem for each channel realization, a …

… supervIsed deep leArnIng ApproAch Now we present a deep learning approach that can …
Specifically, this deep learning model takes the Cu,k vector along with the Vu,k of all users …

… develop a deep learning framework to approximate the optimal resource allocation policy …
of a base station by optimizing bandwidth and transmit power allocation. We find that a fully-…

… high-quality deep learning implemented with flexible resource allocation so that user … deep
learning on mobile devices. Here, we propose to implement resource efficient deep learning …

… Recently, Machine Learning (ML) and Deep Learning (… resource allocation. Finally, we
discuss key challenges and future research directions of applying ML/DL for resource allocation …

… deep learning into proactive and precise resource allocation procedures, which mainly contains
two stages: 1) deep learning-… , and 2) DRL-based unicast-multicast resource allocation. …

… advancement of deep learning, numerous such research has utilized this technique. This
article provides a comprehensive review of 5G communications research using deep learning. …

… Thirdly, the corresponding deep learning network is illustrated, and the analogous back …
to learn the optimal parameters. Additionally, the flow-chart of our deep learning based RA …