NEURAL-NETWORK-BASED RECEIVERS

In some examples, a node for a telecommunication network includes a neural-network-based receiver for uplink communications. The node is configured to modify the neural-network-based receiver to generate a set of modified receiver frameworks defining respective different versions for the receiver, u...

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Bibliographische Detailangaben
Hauptverfasser: UUSITALO, Mikko Aleksi, HONKALA, Mikko Johannes, KÄRKKÄINEN, Leo Mikko Johannes, HUTTUNEN, Janne Matti Juhani, KORPI, Dani Johannes
Format: Patent
Sprache:eng ; fre ; ger
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Zusammenfassung:In some examples, a node for a telecommunication network includes a neural-network-based receiver for uplink communications. The node is configured to modify the neural-network-based receiver to generate a set of modified receiver frameworks defining respective different versions for the receiver, using each of the modified receiver frameworks, generate respective measures representing bits encoded by a signal received at the node, calculate a value representing a variance of the measures, and on the basis of the value, determine whether to select the signal received at the node for use as part of a training set of data for the neural-network-based receiver.