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An Efficient Factor Matrix Design Method and Its Hardware Architecture for Large-Scale SCMA Systems

A technology of factor matrix and design method, which is applied in the direction of code division multiplexing system, electrical components, multiplexing communication, etc., can solve the problems of large performance loss and high complexity, and achieve high versatility and low hardware consumption , the effect of reducing design complexity

Active Publication Date: 2020-11-03
SOUTHEAST UNIV
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Problems solved by technology

In the relevant literature on SCMA, the SCMA systems used for research all have the characteristics of small user scale. The reason is that the factor matrix design of large-scale SCMA systems has problems of high complexity and large performance loss. However, in order to achieve 5G The large-scale expansion of SCMA is necessary for the demand of massive connections, so an efficient factor matrix design scheme for large-scale SCMA systems is particularly important

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Embodiment Construction

[0022] This embodiment provides an efficient factor matrix design method for large-scale SCMA systems, including the selection of prototype column vectors based on non-conflict sorting and matrix block design based on cyclic shifts. The design scheme is described below in conjunction with the accompanying drawings Give a detailed description.

[0023] Such as figure 1 As shown, assuming that a large-scale SCMA system has K resource nodes, J user layers, each user has M codewords, and each codeword has N non-zero elements, then the generation of the factor matrix of the large-scale SCMA system The steps are described as follows:

[0024] 1) Calculate the corresponding overload coefficient η=J / K according to the number of resource nodes and the number of users of the SCMA system, and determine the number of prototype column vectors n required by the factor matrix according to this overload coefficient, usually satisfying n<η ;

[0025] 2) Arrange the prototype column vectors ...

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Abstract

The invention discloses an efficient factor matrix design method for a large-scale SCMA system, and a hardware architecture. The method comprises prototype column vector selection based on non-conflicting sort sorting, a matrix block design based on cyclic shift and the like. The hardware architecture is an efficient architecture for large-scale SCMA system detection, and comprises an initialization unit, a resource node updating unit, a layer node updating unit, a large-scale resource-layer exchange network and a probability calculation unit. Cyclic shift operations on a non-conflicting prototype column vector is used to avoid the random generation of large-scale SCMA system factor matrix, the factor matrix design complexity of a large-scale SCMA system is greatly reduced and performancelosses caused by the large-scale SCMA system are effectively avoided. The detector architecture of large-scale SCMA system with high versatility is designed and acquired, and low hardware consumptionand high hardware usage efficiency are achieved.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to an efficient factor matrix design method and its hardware architecture for a large-scale SCMA system. Background technique [0002] In recent years, with the wide application of wireless communication technology in various fields, the demand for social communication has shown a rapid surge, and traditional communication technology is increasingly unable to meet the needs of social development. According to the predictions of major operators and authoritative consulting agencies, mobile broadband service traffic will increase by as much as 1,000 times in the next 10 years. In order to cope with the upcoming huge communication pressure, 5G has emerged as a brand new mobile communication technology. Among them, "Gbps user experience rate" will be the most critical technical indicator of 5G. In order to achieve this ultra-high-speed transmission rate, 5G will use imp...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04J13/00H04J13/16
CPCH04J13/00H04J13/16
Inventor 张川杨超景树森梁霄尤肖虎
Owner SOUTHEAST UNIV
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