Capacity maximization-based sparse code multiple access codebook design method

Abstract

The present invention provides a capacity maximization-based sparse code multiple access codebook design method. The method includes a first step of determining a codebook parameter S (J, K, F, M, N) of the sparse code multiple access (SCMA), wherein J represents a maximum quantity of users that the SCMA holds, F represents an SCMA mapping matrix generated based on resource blocks and users, K represents a quantity of the resource blocks, M represents a modulation order, and N represents a quantity of non-zero elements in each code word; a second step of constructing a one-dimensional constellation set S0, and calculating based on the one-dimensional constellation set S0 so as to obtain a one-dimensional complex constellation point set Sd; a third step of constructing an N-dimensional complex constellation set according to the one-dimensional complex constellation point set, and selecting an optimal combination sequence as a benchmark code word; and a fourth step of reranking code words of all users according to the benchmark code word, and allocating reranked code words to an indication matrix to generate an SCMA complex codebook. In design of a multi-user codebook, a superimposed coded modulation concept is introduced to improve system performance, and a power difference characteristic of an N-dimensional code word is maintained.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, in particular to a method for designing a sparse coding multiple access codebook based on capacity maximization. Background technique [0002] With the rapid development of the mobile Internet and the Internet of Things (IOT), the next-generation wireless communication system (5G) will face rapidly expanding data services, and the capacity of the mobile communication system will face huge challenges. In order to meet the challenges of system performance such as high spectral efficiency, massive connections and low latency in 5G, Non-Orthogonal Multiple Access (NOMA) has been recognized by people and has been selected as the 5G medium-space solution. One of the candidate technologies. [0003] Sparse Code Multiple Access (SCMA), as a typical non-orthogonal multiple access method, has been proven to be a more effective multiple access method. In the SCMA encoding process, m...

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Problems solved by technology

As one of the core technologies of the SCMA system, codebook design has attracted much attention in the industry. The existing methods cannot be extended to high-dimensional codebook design suitable for a large number of users due to their high computational complexity.

Secondly, because the existing codebook does not take the system capacity as the design criterion, it cannot well meet the high-speed growth of business requirements in the 5G system, so the high-capacity SCMA codebook design is an urgent problem to be solved in the SCMA system

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