Probability distribution identification method and device under probability shaping constellation, equipment and medium

A technology of probability distribution and identification method, applied in the field of optical communication

Active Publication Date: 2021-02-12
SOUTH CHINA NORMAL UNIVERSITY
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of this, the present invention provides a probability distribution identification method, device, equipment and medium under the probability shaping constellation, which can overcome the limitations of the existing expected maximum algorithm Disadvantages and deficiencies, the probability

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  • Probability distribution identification method and device under probability shaping constellation, equipment and medium
  • Probability distribution identification method and device under probability shaping constellation, equipment and medium
  • Probability distribution identification method and device under probability shaping constellation, equipment and medium

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Embodiment 1

[0075] Such as figure 1 As shown, this embodiment provides a probability distribution identification method under the probability shaping constellation, the method includes the following steps:

[0076] S101. Select each candidate probability distribution and its power normalization factor among all candidate probability distributions of the constellation shaping system as a first initial condition.

[0077] Assuming that the constellation shaping system has S candidate probability distributions in total, the jth (j=1,2,...,S) candidate probability distribution can be described as: P j ={P j (a n ), n=1, 2...N}, a n Indicates the nth possible amplitude value in the M-order quadrature amplitude modulation (M-QAM) constellation, and the constellation power normalization factor Δ corresponding to the candidate probability distributionj , making Where N is the total number of circles of the M-QAM constellation, select the jth candidate probability distribution P j and its po...

Embodiment 2

[0122] This embodiment is a specific application of the probability distribution identification method under the probability shaping constellation. It is set in this embodiment: there are 7 probability distributions to be identified, and these shaping distributions are all adjusted under the 64-QAM template by adjusting Maxwell-Boltzmann (MB ) is obtained from the shaping parameter λ in the distribution, and the MB distribution formula is as follows:

[0123]

[0124] In 64QAM, M=64; the λ of these 7 probability distributions i And the constellation entropy is shown in Table 1 below, and the power normalization factors corresponding to these 7 shaping distributions are obtained to satisfy: The 64QAM constellation has a total of 9 circles with different amplitudes, so N=9, and the 7 power normalization factors are: Δ 1 ,Δ 2 ,…,Δ 7 =0.3258, 0.3028, 0.2814, 0.2612, 0.2421, 0.2237, and 0.2054; at the receiving end, it is assumed that the frequency difference of the local os...

Embodiment 3

[0143] Such as Figure 6 As shown, this embodiment provides a probability distribution identification device under the probability shaping constellation, the device includes a first selection module 601, a first calculation module 602, a second selection module 603, a second calculation module 604 and a third selection module Module 605, the specific functions of each module are as follows:

[0144] The first selecting module 601 is configured to select each candidate probability distribution and its power normalization factor among all candidate probability distributions of the constellation shaping system as a first initial condition.

[0145] The first calculation module 602 is configured to iteratively update the probability distribution based on the maximum expected criterion according to the magnitude of the received signal under the first initial condition, and calculate the relationship between each probability distribution after L iterations and all candidate probabil...

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Abstract

The invention discloses a probability distribution identification method and device under a probability shaping constellation, equipment and a medium. The method comprises the following steps: selecting each candidate probability distribution in all candidate probability distributions of a constellation shaping system and a power normalization factor thereof as a first initial condition; calculating the relative entropy between each probability distribution after L iterations and all candidate probability distributions, selecting the candidate probability distribution corresponding to the minimum relative entropy as the initial estimation of the unknown probability distribution, and taking the initial estimation of the probability distribution and the power normalization factor corresponding to the initial estimation as the second initial condition; and calculating the relative entropy between the probability distribution after T iterations and all candidate probability distributions,wherein the candidate probability distribution corresponding to the minimum relative entropy is used as the final estimation of the unknown probability distribution. According to the method, the constellation probability distribution information can be extracted from the received signal on the premise of not carrying out carrier phase recovery, and the method has important application value for constellation shaping probability distribution identification in the elastic optical network.

Description

technical field [0001] The invention relates to a probability distribution identification method, device, equipment and medium under a probability shaping constellation, and belongs to the technical field of optical communication. Background technique [0002] With the rapid development of cloud computing, virtual reality, 5G, etc., the annual global data traffic presents an exponential explosion trend, which poses a huge challenge to the existing optical communication system. Single-wavelength 100G, 400G or even 800G coherent transceivers are increasingly attracting the attention of researchers and the industry. Because the probability shaping constellation has the advantages of higher spectral efficiency and lower requirements for optical signal-to-noise ratio, it has increasingly become a reliable technical solution for next-generation optical networks. In addition, due to the continuously adjustable entropy of the probability shaping constellation, the rate-scalable rec...

Claims

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Application Information

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IPC IPC(8): H04L27/00H04L25/03
CPCH04L27/0014H04L25/03273H04L25/03171
Inventor 洪学智严启峰张佩珊
Owner SOUTH CHINA NORMAL UNIVERSITY
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