… Specifically, we show that in a wireless communication system involving a reconfigurable …
We show that selecting the right neural network architecture to match the problem structure …

… in the wireless networks community, the well-established AI framework of neural networks
(… applied in a wide variety of settings in wireless networks. In particular, NNs are especially …

… the same propagation environment are used to train neural networks. Our studies rely on
ray-… We train neural networks that exploit different combinations of measured features at the BS …

… how deep learning by artificial neural networks (ANNs) … in wireless interference networks.
A deep ANN architecture is proposed and trained to take as input the network communication …

… In this paper, complex multi layer perceptron (CMLP) neural network model is suggested for
MUD in SDMA–OFDM system as it do both channel approximation and MUD simultaneously…

… on artificial neural networks will be an indispensable tool for the design and operation of
future wireless communication networks, and our vision of how artificial neural networks should …

… research hot spots in Wireless Sensors Networks (WSNs). … wireless localization system
using Artificial Neural Networks (… our proposed device-free wireless localization system is able …

… a reliable wireless Visible Light Communication (VLC) system… is established with a feedforward
neural network (NN), with a … a suitable mathematical model and neural networks (NNs). …

… Abstract- According to this report, the most innovative and active area of the communications
business is wireless communications. Data may be sent wirelessly between two places …

… In this work, a two-layered neural network architecture (4 The most common models for HBTs
are compact models such neurons in first layer and 1 neuron in second layer) is used to as …