Abstract

In this paper we investigate the optimization of the non-orthogonal multiuser transmission through the superposition factor graph. The sum rate of the multiuser system is utilized as the performance metric. The optimization is carried out through the edge connection and the spatial coupling of the base structure. The edge connection associates with the superposition matrix and determines the layout of the joint constellation. By spatially coupling the base structure, the short girth is further removed without changing the load of the system and the complexity in the processing. The genetic algorithm is applied to realize the optimization. Numerical results reveal the characteristics of the optimal factor graphs for different SNR regions. The optimized structures demonstrate superior performance to those which have been proposed in the literature in terms of sum rate and bit error rate.

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