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- W1973918633 abstract "In this paper, we consider the problem of transferring channel state information (CSI) to the nodes of an underwater network. As the CSI is derived by simulating the behavior of the underwater channel via ray tracing, we first discuss a parallel implementation of the ray tracing software obtained using the CUDA architecture, that helps compute the CSI faster. We then consider the problem of making the channel state information compact, and suitable for transmission over underwater acoustic channels. Our results indicate that a feedforward artificial neural network achieves both good accuracy and good compression of the CSI." @default.
- W1973918633 created "2016-06-24" @default.
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- W1973918633 date "2013-01-01" @default.
- W1973918633 modified "2023-09-23" @default.
- W1973918633 title "Endowing underwater networks with channel awareness: a discussion on computational complexity and information size issues" @default.
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- W1973918633 doi "https://doi.org/10.1121/1.4829855" @default.
- W1973918633 hasPublicationYear "2013" @default.
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