专利检索 ap:("Nokia Technologies Oy") AND inv:"Igor FILIPOVICH" 第 1 页

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发明申请
METHODS AND APPARATUSES OF MULTI-USER MULTIPLE-INPUT MULTIPLE-OUTPUT BEAM SELECTION AND USER PAIRING USING DEEP LEARNING 有权

公开(公告)号：US20210218460A1

公开(公告)日：2021-07-15

申请号：US17252966

申请日：2019-06-20

申请人： Nokia Technologies Oy

发明人： Ian Dexter GARCIA , Igor FILIPOVICH , Chandrasekar SANKARAN , Hua XU , Suresh KALYANASUNDARAM , Jamil SHIHAB , Rajeev AGRAWAL , Anand BEDEKAR

IPC分类号： H04B7/06 , H04B7/0452 , G06N20/00

摘要： Systems, methods, apparatuses, and computer program products for multi-user (MU) multiple-input multiple-output (MIMO) user pairing selection are provided. One method may include selecting multi-user multiple input multiple output (MU MIMO) candidate beams using deep neural network(s) (DNNs), and selecting paired users based on the selected beams. The deep neural network(s) (DNNs) are trained to maximize multi-user priority metric (MU-PM) or a heuristic of the multi-user priority metric (MU-PM).