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公开(公告)号:US20220191079A1
公开(公告)日:2022-06-16
申请号:US17541522
申请日:2021-12-03
Applicant: NOKIA TECHNOLOGIES OY
Inventor: Jakob HOYDIS , Vahid AREF , Ahmed ELKELESH , Sebastian CAMMERER
Abstract: Different solutions for an apparatus comprising a predictor predicting decodability of received symbols are disclosed. Decoding is performed based on the prediction.
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公开(公告)号:US20210306092A1
公开(公告)日:2021-09-30
申请号:US17260441
申请日:2018-07-20
Applicant: Nokia Technologies Oy
Inventor: Sebastian CAMMERER , Sebastian DÖRNER , Stefan SCHIBISCH , Jakob HOYDIS
IPC: H04L1/00
Abstract: An apparatus, method and computer program is described comprising receiving data at a receiver of a transmission system; using a receiver algorithm to convert data received at the receiver into an estimate of the first coded data, the receiver algorithm having one or more trainable parameters; generating an estimate of first data bits by decoding the estimate of the first coded data, said decoding making use of an error correction code of said encoding of the first data bits; generating a refined estimate of the first coded data by encoding the estimate of the first data bits; generating a loss function based on a function of the refined estimate of the first coded data and the estimate of the first coded data; updating the trainable parameters of the receiver algorithm in order to minimise the loss function; and controlling a repetition of updating the trainable parameters by generating, for each repetition, for the same received data, a further refined estimate of the first coded data, a further loss function and further updated trainable parameters.
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公开(公告)号:US20220209888A1
公开(公告)日:2022-06-30
申请号:US17594511
申请日:2019-04-29
Applicant: Nokia Technologies Oy
Inventor: Jakob HOYDIS , Sebastian CAMMERER , Sebastian DORNER , Stephan TEN BRINK
Abstract: An apparatus, computer program and method is described including receiving data at a receiver of a communication system, generating an estimate of the data as transmitted by a transmitter of the transmission system (wherein generating the estimate includes a receiver algorithm having at least some trainable weights), generating a refined estimate of the transmitted data, based on said estimate and an error correction algorithm (wherein, in an operational mode, said estimate of the data as transmitted is generated based on the received data and said refined estimate); and generating, in the operational mode, a revised estimate of the transmitted data on each of a plurality of iterations of said generating an estimate of the transmitted data until a first condition is reached.
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