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公开(公告)号:US11990970B2
公开(公告)日:2024-05-21
申请号:US17252966
申请日:2019-06-20
Applicant: Nokia Technologies Oy
Inventor: Ian Dexter Garcia , Igor Filipovich , Chandrasekar Sankaran , Hua Xu , Suresh Kalyanasundaram , Jamil Shihab , Rajeev Agrawal , Anand Bedekar
IPC: H04W72/04 , G06N20/00 , H04B7/0452 , H04B7/06
CPC classification number: H04B7/0695 , G06N20/00 , H04B7/0452
Abstract: 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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公开(公告)号:US11240830B2
公开(公告)日:2022-02-01
申请号:US16981060
申请日:2018-03-20
Applicant: Nokia Technologies Oy
Inventor: Suresh Kalyanasundaram , Klaus Pedersen , Hans Kroener , Rajeev Agrawal
Abstract: Methods, devices, and computer program products concerning accommodating ultra-reliable low latency communications (URLLC) traffic by making a determination of which mobile broadband (MBB) user equipment (UE) to puncture, where in response to an indication that URLLC traffic needs to be scheduled in the midst of ongoing MBB transmissions in a wireless communications network, the determination is made from a plurality of MBB UEs with the ongoing MBB transmissions, of a set of the plurality scheduled for transmission in a slot required by the URLLC traffic. From that set of MBB UEs, a subset of MBB UEs for puncturing is chosen, where that choice is made at least in relation to accommodating a reliability constraint of the URLLC traffic, maximizing a sum proportional fairness metric of the plurality of MBB UEs, and minimizing a block error rate in a computation of a proportional fairness metric for each UE of the subset.
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