… In Section IV, we discuss the use of ANNs for wirelesscommunication along with the corresponding challenges and opportunities. Finally, conclusions are drawn in Section V. …
… cZtions were found in the antenna literature as far as wirelesscommunication engineering … research, particularly that of using neuralnetworks for wirelesscommunication front ends. We …
… the neuralnetwork, the input data comes from the feasible intersections, pass through the various types of trained neuralnetworks, … based on various neuralnetwork training methods to …
B Zhu, J Wang, L He, J Song - … Areas in Communications, 2019 - ieeexplore.ieee.org
… a novel neuralnetwork structure for jointly optimizing the transmitter and receiver in communication … The simulation results show that the performance of neuralnetwork-based system …
P Alapuranen, J Schroeder - Digital Signal Processing, 2021 - Elsevier
… neuron and neuralnetwork architecture is used to create a software defined radio with fully adaptive neuralnetwork … and demodulation is done by a complex artificial neuralnetwork. …
… forward by the use of neuralnetworks in the specific wireless application. We complement this … reference on the use of neuralnetworks in wirelesscommunications and, as a result, will …
Y Shen, J Zhang, SH Song… - … Communications, 2022 - ieeexplore.ieee.org
… typical problems of wirelesscommunication as graph optimiza… (D2D) networks, resource allocation in cell-free networks, and … wirelesscommunications [2], with the following formulation: …
… the pressure of spectrum usage in wirelesscommunication, based on the … to wireless communicationnetworks. An intelligent power algorithm model based on deep neuralnetworks (…
S He, S Xiong, Y Ou, J Zhang, J Wang… - … the Communications …, 2021 - ieeexplore.ieee.org
… of wirelessnetworks. In this overview, we first illustrate the construction method of wireless communication graph for various wirelessnetworks … of GNNs in wirelessnetworks such as …