FEDERATED LEARNING FOR MULTIPLE ACCESS RADIO RESOURCE MANAGEMENT OPTIMIZATIONS

In one embodiment, a machine learning (ML) model for determining radio resource management (RRM) decisions is updated, with ML model parameters being shared between RRM decision makers to update the model. The updates may include local operations (between an AP and UE pair) to update local primal an...

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Bibliographische Detailangaben
Hauptverfasser: AKDENIZ, Mustafa Riza, HIMAYAT, Nageen, BALAKRISHNAN, Ravikumar, EISEN, Mark R, DHAKAL, Sagar, NADERIALIZADEH, Navid
Format: Patent
Sprache:eng ; fre
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