A High Dimensional Modulation Mapping Method Based on Subset Selection

Abstract

The invention discloses a high-dimensional modulation mapping method based on subset selection, which belongs to the technical field of communication. The method of the present invention first takes the minimum Euclidean distance between constellation points as a constraint condition, and obtains K hypercube-structured high-dimensional constellation subsets by combining two-dimensional constellation sets with partition and diversity constellation points; then, the bit data stream The bit labels obtained by the serial-to-parallel transformation are divided into two parts, one part of the bit labels is used for subset selection of the high-dimensional constellation point set, and the rest of the bit labels are subjected to arithmetic operations between binary bits to finally obtain the target high-dimensional coordinate vector. The invention adopts the subset selection method to realize fast high-dimensional mapping technology, and the mapping storage space of the method is independent of the constellation point set scale, which has the characteristics of low operation complexity and excellent system bit error performance, and can achieve better high Dimensional modulation mapping effect.

Description

technical field [0001] The invention belongs to the field of communication technology, and in particular relates to a mapping method of high-dimensional modulation technology, which adopts a subset selection method to realize fast mapping of high-dimensional modulation. Background technique [0002] With the wide application of coherent optical transmission systems, people's desire for high-speed, large-capacity optical fiber transmission systems is getting higher and higher. Optimizing the modulation technology is the best solution to increase the system capacity without increasing the reconstruction cost of the trunk line. Traditional modulation techniques usually use higher-order modulation formats with high spectral efficiency to increase transmission capacity. But as the spectral efficiency increases, the asymptotic power efficiency of the modulation format also decreases. Therefore, in order to solve the contradiction between spectral efficiency and asymptotic power ...

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Problems solved by technology

[0003] Aiming at the problem that fast high-dimensional modulation mapping cannot be realized in the prior art, the present invention provides a high-dimensional mapping and demapping method based on subset selection. Compared with the prior art, the mapping storage space of this method is independent of constellation points Set scale, low operation complexity, while ensuring better system bit error performance

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