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公开(公告)号:US20220393795A1
公开(公告)日:2022-12-08
申请号:US17771261
申请日:2019-10-31
Applicant: NOKIA TECHNOLOGIES OY
Inventor: Mathieu GOUTAY , Faycal AIT AOUDIA , Jakob HOYDIS
IPC: H04L1/16
Abstract: A retransmission method in a communication system, wherein the communication system comprises at least one transmitter and at least one receiver with a communication channel between the transmitter and the receiver, the method comprising: utilising in the transmitter a transmitter algorithm with trainable weights and in the receiver a receiver algorithm with trainable weights; generating (302) by the transmitter symbols to be transmitted based on a message to be sent and feedback received from the receiver and transmitting the symbols; generating (304) by the receiver a predicted message based on the received symbols, evaluating (306) the predicted message based on a criterion and providing (312), utilising an algorithm with trainable weights, feedback symbols as a response to the transmitter if the evaluation indicates the predicted message is not acceptable.
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公开(公告)号:US20220183014A1
公开(公告)日:2022-06-09
申请号:US17539661
申请日:2021-12-01
Applicant: NOKIA TECHNOLOGIES OY
Inventor: Mathieu GOUTAY , Faycal AIT AOUDIA , Jakob HOYDIS
IPC: H04W72/08 , H04L25/02 , H04B7/0452
Abstract: To provide demapping at a receiving side, a trained model for a demapper is used to output log-likelihood ratios of received signals representing data in a multi-user transmission. Inputs for the trained model for the demapper comprise a resource grid of equalized received signals.
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公开(公告)号:US20210367654A1
公开(公告)日:2021-11-25
申请号:US17316906
申请日:2021-05-11
Applicant: Nokia Technologies OY
Inventor: Mathieu GOUTAY , Jakob HOYDIS , Faycal AIT AOUDIA
IPC: H04B7/06 , H04B7/0452 , G06N20/00
Abstract: An apparatus for optimization of signal shaping for a multi user multiple input multiple output, MU-MIMO, communication system, including circuitry configured for receiving a bit vector; and for determining a constellation vector, wherein the circuitry for determining the constellation vector includes a Geometric Shaping and Labeling Block, GSLB, for modulating the bit vector, wherein the GSLB is configured to implement an algorithm with one or more trainable parameters.
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