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MIMO-SCMA downlink communication method based on deep neural network

A MIMO-SCMA, deep neural network technology, applied in the field of wireless communication, can solve the problems of SCMA and MIMO technology

Active Publication Date: 2020-08-21
ANHUI UNIVERSITY
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  • Application Information

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Problems solved by technology

[0007] The purpose of the present invention is to solve the defect that SCMA and MIMO technology are difficult to effectively combine in the prior art, and to provide a MIMO-SCMA downlink communication method based on deep neural network to solve the above problems

Method used

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  • MIMO-SCMA downlink communication method based on deep neural network
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  • MIMO-SCMA downlink communication method based on deep neural network

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Embodiment Construction

[0063] In order to have a further understanding and understanding of the structural features of the present invention and the achieved effects, the preferred embodiments and accompanying drawings are used for a detailed description, as follows:

[0064] Such as figure 2 Shown, a kind of MIMO-SCMA downlink communication method based on deep neural network described in the present invention, comprises the following steps:

[0065] The first step is the design of the MIMO-SCMA downlink system: design and train the MIMO-SCMA downlink system based on the deep neural network. The whole system uses a large number of deep neural network DNN units, combined with the characteristics of MIMO-SCMA to realize channel resource overload and multi-antenna spatial multiplexing transmission at the same time, the transmitter and receiver structure design based on multiple DNN units is carried out at the sending end and receiving end respectively . The transmitting end designs a multi-antenna ...

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Abstract

The invention relates to an MIMO-SCMA downlink communication method based on a deep neural network. Compared with the prior art, the method overcomes the defects that SCMA and MIMO technologies are difficult to effectively combine. The method provided by the invention comprises the following steps: designing an MIMO-SCMA downlink system; enabling an MIMO-SCMA base station end to carry out data sending; and enabling a downlink receiving end to receive the data and decode the data. According to the MIMO-SCMA downlink system design method based on the deep neural network, the deep neural networkis reasonably applied to MIMO-SCMA downlink signal transmission and detection, and the MIMO-SCMA downlink system design method based on the deep neural network is provided.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a deep neural network-based MIMO-SCMA downlink communication method. Background technique [0002] The MIMO-SCMA system combines SCMA and MIMO technology, can make full use of the overload of SCMA and the spatial multiplexing of MIMO, and further improve the spectrum utilization and communication capacity of the mobile communication system to meet the communication needs of wide connection and low delay. However, the combination of SCMA and MIMO technology faces the following problems: [0003] 1. The receiving end needs to perform MIMO detection and SCMA multi-user detection, resulting in an exponential increase in complexity, especially in the downlink system, which is difficult for the user end equipment to load. [0004] 2. The SCMA codebook design does not combine the characteristics of multi-antenna transmission, such as figure 1 As shown, different antenna...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/0452H04B7/0456H04B17/391H04L27/26
CPCH04B7/0452H04B7/0456H04L27/2697H04B17/391
Inventor 蒋芳胡梦钰尤扬扬王翊许耀华胡艳军
Owner ANHUI UNIVERSITY
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