Wireless Channel Modeling and Estimation by Artificial Neural Networks (Elektro- und Informationstechnik)

Inhaltsangabe

This dissertation establishes a novel framework to automate site-specific wireless channel model generation via Deep neural networks. An approach for ray tracing and creation of distribution-free channel modeling by generative adversarial networks is proposed. Moreover, a communication network consist of deep neural network transceivers is presented for the next generation of communication.

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