Patent
Dnn decoding method and decoding communication device for scma system
Lin Jinzhi,Zhao Ximin,Hu Jinxing +2 more
- 25 Jun 2020
TL;DR: In this paper, a deep neural network (DNN) decoding method and a decoding communication device for an SCMA system are presented, which is able to improve the accuracy of SCMA decoding without increasing the complexity of the SCMA decoder.
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Abstract: Disclosed in the present invention are a deep neural network (DNN) decoding method and a decoding communication device for an SCMA system, the method comprising: S1, constructing an SCMA system and obtaining a training sample data set; S2, establishing a DNN-based SCMA decoder model; S3, training said SCMA decoder model; and S4, deploying the SCMA decoder model, and decoding an SCMA signal by means of the SCMA decoder model. The present invention is able to improve the accuracy of SCMA decoding without increasing the complexity of an SCMA decoder. Compared with a traditional MPA algorithm based SCMA decoder, the DNN-based SCMA decoder in the present invention has improved performances in terms of calculation complexity and decoding bit error rate.
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Patent
A DNN decoding method and a decoding communication device for an SCMA system
Lin Jinzhi,Zhao Ximin,Hu Jinxing +2 more
- 21 May 2019
TL;DR: In this article, a DNN decoding method of an SCMA system and decoding communication equipment is presented. And the SCMA decoding accuracy can be improved on the premise that the complexity of the decoder is not increased, and compared with a traditional SCMA decoder based on an MPA algorithm.
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