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A Low Complexity Sparse Code Multiple Access Detection Method

A sparse code multiple access, low-complexity technology, applied in the field of signal detection of wireless communication systems, can solve the problems of high computational complexity, can not meet the high-speed, high-efficiency, low-latency of 5G technology, etc., to reduce computational complexity, The effect of making up for message loss and reducing complexity

Inactive Publication Date: 2019-06-21
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

In summary, although the parallel MPA detection method proposed in the background technology can effectively improve the probability of correct decoding, due to its high computational complexity, it cannot meet the requirements of 5G technology for high speed, high efficiency, and low delay. Good for use in practical communication systems

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  • A Low Complexity Sparse Code Multiple Access Detection Method
  • A Low Complexity Sparse Code Multiple Access Detection Method
  • A Low Complexity Sparse Code Multiple Access Detection Method

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Embodiment Construction

[0043] The technical scheme of the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0044] According to the transmission conditions and the procedures of the detection process, the following parameters are initialized:

[0045] The number of user nodes J=96, the number of codewords in the codebook M=4, the number of resource nodes K=48, the system overload rate λ=200%, the degree of resource nodes d r =6, user node degree d v =6, the channel model is a flat Rayleigh fading channel; the user information bits are mapped to the corresponding codeword x through the SCMA encoder. After all user codewords are superimposed and transmitted through a flat Rayleigh fading channel, the received signal at the receiving end x j =(x 1,j ,x 2,j ,...,x K,j ) Τ is the SCMA codeword of user j, h j =(h 1,j , h 2,j ,..., h K,j ) Τ is the channel vector of user j, n~CN(0,σ 2 I) is Gaussian noise; the signal y receive...

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Abstract

The invention discloses a low-complexity sparse code multiple access detection method, which belongs to the field of signal detection of wireless communication systems. Use the size of the channel coefficient modulus of its adjacent side to classify, that is, select the side with a larger modulus among the side and its neighbors as a class, and participate in the message update; the other sides with a smaller modulus as a class, use Gaussian The approximation principle can be approximated as noise. With such classification, the original sparse factor graph will become a dynamic and sparser factor graph. At the same time, in order to make up for the message loss caused by the edges that did not participate in the message update process, each iteration process will use the mean and variance of the approximate noise in the previous iteration process for information feedback. Therefore, in the present invention, under the condition that the loss of BER performance is not large, the computational complexity decreases exponentially compared with the computational complexity of the background art. This proves that the present invention achieves a better balance between computational complexity and BER performance.

Description

technical field [0001] The invention belongs to the field of signal detection of wireless communication systems, and relates to a multi-user detection method of a sparse code multiple access (SCMA) communication system with low computational complexity and little BER performance loss, specifically a method based on Gaussian approximation and mean value The multi-user detection method based on the variance feedback principle is used to solve the multi-user detection problem of 5G mobile communication alternative multiple access technology. Background technique [0002] Multiple access is one of the core technologies of the physical layer of wireless communication, which enables the base station to distinguish and serve multiple end users at the same time. With the rapid development of the Internet of Things, in order to meet the massive user connections required by 5G communications, as well as the technical requirements of low latency and low power consumption, the invention...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L1/00
CPCH04L1/0048H04L1/005
Inventor 董彬虹高鹏宇杜洋成聪舒秉亮王显俊党冠斌
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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