… wireless channels. In this work, the most widely used multilayer perceptron (MLP) neural
network in artificial neural network (… models based on MLP neural networks. The impacts of the …

… In Section IV, we discuss the use of ANNs for wireless communication along with the
corresponding challenges and opportunities. Finally, conclusions are drawn in Section V. …

… cZtions were found in the antenna literature as far as wireless communication engineering …
research, particularly that of using neural networks for wireless communication front ends. We …

… the neural network, the input data comes from the feasible intersections, pass through the
various types of trained neural networks, … based on various neural network training methods to …

… a novel neural network structure for jointly optimizing the transmitter and receiver in
communication … The simulation results show that the performance of neural network-based system …

… neuron and neural network architecture is used to create a software defined radio with fully
adaptive neural network … and demodulation is done by a complex artificial neural network. …

… forward by the use of neural networks in the specific wireless application. We complement
this … reference on the use of neural networks in wireless communications and, as a result, will …

… typical problems of wireless communication as graph optimiza… (D2D) networks, resource
allocation in cell-free networks, and … wireless communications [2], with the following formulation: …

… the pressure of spectrum usage in wireless communication, based on the … to wireless
communication networks. An intelligent power algorithm model based on deep neural networks (…

… of wireless networks. In this overview, we first illustrate the construction method of wireless
communication graph for various wireless networks … of GNNs in wireless networks such as …