Optical probability forming method based on dense constellation reduced-order index

Abstract

The invention discloses an optical probability forming method based on dense constellation reduced-order index. The method comprises the steps of performing serial-parallel conversion on a single-pathbinary bit, and outputting five paths of parallel binary stream signals; enabling a reduced-order index probability distribution matcher to identify the data, add reduced-order index symbols to the data, add subset information identification bits to reduced-order indexes for rearrangement, and then output mapping points and index information in a mixed arrangement mode; in the QAM constellation mapping, in combination with a honeycomb-like constellation diagram construction mode, realizing reduced-order index probability forming and honeycomb-like constellation diagram coding modulation ; ata receiving end, subjecting signals to power adjustment through an amplifier, converting optical signals into electric signals through a demodulator; and demodulating irregular polygonal QAM signals through a QAM modulator, and subjecting centralized signals to inverse matching through a dedistribution matcher to obtain original input signals. According to the method, the peak-to-average power ratio and the average power of the signal are better reduced, and the noise influence of a transmission system is reduced under the condition of the same Euclidean distance.

Description

technical field [0001] The invention belongs to the technical field of optical transmission and communication, and in particular relates to an optical probability shaping method based on a dense constellation reduced-order index. Background technique [0002] With the wide application and continuous development of big data, cloud computing, and virtual reality in social life, the existing 4G communication network has been difficult to meet the exponential growth of data transmission and processing requirements, high transmission rate, high data utilization, 5G communication with high usage flexibility provides a good solution. Fronthaul connection technology, as one of the key points, requires combined access network, multi-carrier and multiple-input multiple-output (MIMO) technologies, and comprehensively considers low complexity, low power consumption, high communication capacity, high switching capacity and High data processing capacity and other requirements. Direct mo...

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Problems solved by technology

[0003] However, the application of high-order multi-dimensional modulation formats will undoubtedly increase the difficulty of data processing, reduce data throughput, and damage the transmission capacity of the system. Moreover, high-order modulation formats will cause reduced channel capacity, poor system flexibility, and increased bit error rates. question

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