- 专利标题: Methods and apparatuses of multi-user multiple-input multiple-output beam selection and user pairing using deep learning
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申请号: US17252966申请日: 2019-06-20
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公开(公告)号: US11990970B2公开(公告)日: 2024-05-21
- 发明人: Ian Dexter Garcia , Igor Filipovich , Chandrasekar Sankaran , Hua Xu , Suresh Kalyanasundaram , Jamil Shihab , Rajeev Agrawal , Anand Bedekar
- 申请人: Nokia Technologies Oy
- 申请人地址: FI Espoo
- 专利权人: Nokia Technologies Oy
- 当前专利权人: Nokia Technologies Oy
- 当前专利权人地址: FI Espoo
- 代理机构: Harrington & Smith
- 代理商 Joseph C. Drish
- 优先权: IN 1811024097 2018.06.28
- 国际申请: PCT/EP2019/066351 2019.06.20
- 国际公布: WO2020/002127A 2020.01.02
- 进入国家日期: 2020-12-16
- 主分类号: H04W72/04
- IPC分类号: H04W72/04 ; G06N20/00 ; H04B7/0452 ; H04B7/06
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).
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