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Sparse code multiple access detection method with low complexity

A sparse code multiple access, low-complexity technology, applied in the field of signal detection in wireless communication systems, can solve the problems of high speed, high efficiency, low latency, and high computational complexity that cannot meet the requirements of 5G technology, reducing computational complexity and reducing The effect of complexity

Inactive Publication Date: 2016-11-16
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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  • Sparse code multiple access detection method with low complexity
  • Sparse code multiple access detection method with low complexity
  • Sparse code multiple access detection method with low complexity

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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 received...

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Abstract

The invention discloses a sparse code multiple access detection method with low complexity and belongs to the field of signal detection of a wireless communication system. Classification is carried out by utilizing channel coefficient module values of the adjacent edges, namely the edge and the edge with the larger module value in the adjacent edges of the edge are selected to be in the same class to participate in information updating; other edges with the smaller module values are classified to the same class and are approximate to noise by utilizing a Gaussian approximation principle. According to the classification, an original sparse factor graph becomes a dynamic and sparser factor graph. Meanwhile, each iteration process utilizes mean and variance of the approximate noise in the last iteration process to carry out information feedback in order to make up for the information loss caused by the edge which does not participate in the information updating process. In comparison with the computation complexity in the background technology, the computation complexity is reduced in an exponential form under the condition of little BER performance loss. The result proves that the computation complexity and the BER performance are well balanced.

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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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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