Single-stage SCMA codebook optimization method based on evolutionary strategy

The invention provides a single-stage SCMA codebook optimization method based on an evolutionary strategy, and the method comprises the following steps: S1, building a single-stage codebook model according to each parameter of an SCMA system, and obtaining to-be-optimized codebook information based on the codebook model; s2, according to the number of iterations and the mutation probability, Gaussian complex noise disturbance is carried out on the to-be-optimized parameters of each individual in the population in sequence; s3, performing energy normalization on the population individuals which are subjected to complex Gaussian noise disturbance to generate variation, recalculating the fitness of the population individuals with variation for different channels, and sorting the population individuals according to fitness values; and S4, if the loop iteration does not reach the maximum iteration frequency, selecting a plurality of population individuals with the maximum fitness value in the round to carry out th