公开(公告)号：WO2022174886A1

公开(公告)日：2022-08-25

申请号：PCT/EP2021/053718

申请日：2021-02-16

Applicant: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)

Inventor： GUSTAVSSON, Ulf ,  FARSAEI, Amirashkan ,  ALVARADO, Alex ,  WILLEMS, Frans, M.J. ,  SHEIKH, Alireza

IPC: H04B7/0452 ,  G06N3/02 ,  G06N20/00

Abstract: A method is disclosed of training a neural network to select users for multi user multiple-input multiple-output (MU-MIMO) communication from a set of potential users. The method comprises providing (to the neural network) a plurality of training data sets, each training data set comprising input data corresponding to a channel realization and output data corresponding to an optimal user selection for the channel realization, and controlling the neural network to analyze the plurality of training data sets to determine a branch weight for each association between neurons of neighboring layers of the neural network, wherein the branch weight is for provision of the output data responsive to the input data. A related method of selecting users for MU-MIMO communication from a set of potential users comprises providing (to a neural network trained as specified above) input data corresponding to an applicable channel, receiving (from the neural network) output data comprising a user selection indication, and selecting users based on the user selection indication. Corresponding apparatuses, neural network, network node and computer program product are also disclosed.

公开(公告)号：WO2022174885A1

公开(公告)日：2022-08-25

申请号：PCT/EP2021/053713

申请日：2021-02-16

Applicant: TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)

Inventor： GUSTAVSSON, Ulf ,  FARSAEI, Amirashkan ,  ALVARADO, Alex ,  WILLEMS, Frans, M.J.

IPC: H04B7/0452 ,  H04L5/00

Abstract: A method is disclosed of selecting users for multi user multiple-input multiple-output (MU- MIMO) communication from an initial set of potential users. The method comprises repeating the following steps in successive iterations until a stopping criterion is met: determining a channel correlation metric for each user in the set of potential users, reducing the set of potential users by exclusion of a user based on the channel correlation metric, and calculating a performance metric of the set of potential users. The method also comprises selecting users corresponding to one of the sets of potential users, wherein the selection is based on a comparison of the calculated performance metrics of the sets of potential users. The channel correlation metric for a user may comprise one or more of: a channel filter norm for the user, a channel norm for the user, a channel gain for the user, pair-wise correlations between the user and one or more other users of the set of potential users, and a channel eigenvalue for the user. The performance metric may comprise one or more of: a sum-rate, a per-user-rate, an average error rate, a maximum error rate, a per-user error rate, and a sum-correlation. Corresponding apparatus, network node and computer program product are also disclosed.