USER SCHEDULING USING A GRAPH NEURAL NETWORK

USER SCHEDULING USING A GRAPH NEURAL NETWORK

The present disclosure relates to a device for use in a wireless network, the device including: a processor configured to: provide input data to a trained graph neural network model, the input data being indicative of a graph representation of a plurality of wireless communication devices, wherein t...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: TALWAR, Shilpa, ORHAN, Oner, NIKOPOUR, Hosein, NARASIMHA SWAMY, Vasuki
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
PHYSICS
WIRELESS COMMUNICATIONS NETWORKS
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Beschreibung
Zusammenfassung:The present disclosure relates to a device for use in a wireless network, the device including: a processor configured to: provide input data to a trained graph neural network model, the input data being indicative of a graph representation of a plurality of wireless communication devices, wherein the trained graph neural network model is configured to provide output data being indicative of a scheduled user set including the plurality of wireless communication devices; and instruct user scheduling of the plurality of wireless communication devices based on the output data of the trained graph neural network model.