This application is based upon and claims priority to Chinese Patent Application No. 202311069995.2, filed on Aug. 24, 2023, the entire contents of which are incorporated herein by reference.
The present disclosure relates to the technical field of optical communication, particularly to a method and system of optical communication with high spectral efficiency and low power consumption based on joint channel coding modulation.
High-order modulation is an inevitable way to improve the spectral efficiency within fiber bandwidth resources and achieve high-capacity optical communication. However, the larger the order of high-order modulation, the smaller the minimum Euclidean distance among constellation points, and the greater the impact of channel impairments such as fiber dispersion, nonlinearity, and polarization mode dispersion on the signal, which shorten the effective communication distance limiting the overall capacity. Forward Error Correction (FEC) Channel Coding, one of the key technologies for achieving high spectral efficiency and large capacity optical communication systems, it can improve the sensitivity of the optical signal-to-noise ratio (SNR) and effectively improve the reliability of signal communication. The Shannon information theory provides the basic relationship between spectral efficiency (channel capacity) and SNR. Still, the functional modules of FEC and high-order modulation are relatively independent, the mathematical correlation degree between them is unclear, and the optical communication capacity model of joint channel coding and high-order modulation is less mentioned. It is important to use joint coding and high-order modulation to improve spectral efficiency and achieve high capacity in optical communication systems with limited fiber bandwidth resources. This involves creating a mathematical association between coded bits and modulation symbols to integrate coded and high-order modulation modules. Theoretically, the longer the channel coding code length is, the greater the gain of the optical communication SNR is, and the greater the receiver delay is, which limits the application scenarios of joint channel coding modulation technology. Therefore, the joint channel coding technology with high spectral efficiency and low latency holds significant research value in high-speed optical communication systems.
With the increasing demand for communication capacity, various new technologies are urgently needed to improve communication capacity and performance, and polarization channel coding is one of them. Polar code is a channel coding mode based on the theory of channel polarization. It has a short code length and can reach the Shannon limit in theory. Also, the Polar code has a simple coding structure, and the code rate is flexible and adjustable, so it has been selected as the coding mode of the 5G-NR control channel. The design of encoding and decoding is based on Polar short code parallel iteration, combined with joint channel coding modulation technology. This is the key technology to achieve an optical communication system with high spectral efficiency and low latency.
Therefore, it is an urgent problem for those skilled in the art to provide an optical communication method and system that offers high spectral efficiency and low power consumption based on joint channel coding modulation to address the existing issues.
Given this, the present disclosure provides an optical communication method and an optical communication system with high spectral efficiency and low power consumption based on joint channel coding modulation which can improve the optical communication capacity and the system spectral efficiency, and reduce latency and power consumption of the system.
To achieve the above effects, the present disclosure adopts the following technical solutions.
An optical communication method and an optical communication system with high spectral efficiency and low power consumption based on joint channel coding modulation include the following steps.
A data acquisition step of acquiring signal source data generated by the user information;
a symbol multiplexing step of performing channel coding and rate matching on signal source data based on a forward error correction of a polar code, sending the signal source data to an interleaver for interleaving, and sending the signal source data to a symbol multiplexer for many-to-one mapping and high order modulation to obtain a high spectral efficiency symbol multiplexing signal modulated by high spectral efficiency and short code joint channel coding;
a signal communication step of carrying out the digital-to-analog conversion and polarization multiplexing in-phase and quadrature (IQ) modulation on the high spectral efficiency symbol multiplexing signal to realize electro-optical conversion, sending the generated optical signal to the fiber for communication to the optical receiver. The receiver receives signals by adopting a coherent detector, and then carries out analog-to-digital conversion to collect data to obtain the analog-to-digital converted signal;
a channel equalization step of preliminarily obtaining the constellation information of the communication signal by performing clock recovery, dispersion compensation, polarization demultiplexing, frequency offset compensation, and phase recovery on the analog-to-digital converted signal; and
a symbol demultiplexing step of obtaining a signal constellation point of constellation information of the communication signal, realizing a bit interleaving polarization demodulation and iterative decoding process through multi-module iterative decoding based on soft information interaction, realizing joint symbol demultiplexing and FEC decoding, and recovering information bit data of the data source.
The above method, optionally, the symbol multiplexing step is based on the joint polar code channel coding modulation theory.
In the above method, optionally, in the symbol multiplexing step, every 5 binary symbols in the polarized channel encoded binary bit stream are modulated and mapped to a high order modulation symbol. Traditional 5-bit symbol modulation requires 32 different constellation symbols, 32 quadrature amplitude modulation (QAM), to carry. The core of symbol multiplexing is the many-to-one overlapping mapping of joint channel coding. According to the principle of minimum Hamming distance between symbols and within symbols, every group of 4 high-order modulation 32 QAM symbols is overlapped and mapped to 1 constellation point. Four 32 QAM symbols are overlapped on each constellation point of joint channel coding modulation to generate a symbol multiplexed 8 QAM signal.
The above method, optionally, in the process of signal communication, after fiber communication, coherent detection, and digital signal processing channel equalization, the symbol demultiplexing process for the symbol multiplexing step can be expressed as:
wherein, y(t) is the digital signal after signal equalization, ξ−1() is the demultiplexing process of the symbol multiplexing signal, γ is the soft decision rule and LLRID is the prior information represented by logarithmic likelihood ratio.
The above method, optionally, in the symbol demultiplexing step, in the first round of high-order modulation and demodulation, the posterior probability of each demodulated optical communication symbol Txti at the time t is assigned with an equal probability value for initialization, and then the symbol soft information is continuously iterated in the Polar decoder, the posterior probability information of Txti is generated simultaneously. Appoint LeDel(νti) as the deinterleaved extrinsic information and LeIn(νti) as the interleaved extrinsic information, LsDel(νti) as prior information of the Polar decoder and LaIn(νti) as prior information of the symbol multiplexing QAM demapper respectively, update the difference between LeIn(νti) and LaIn(νti) through interleaving, and then sent back to that symbol multiplexing QAM demapper for the next round of parallel outer iteration.
In the above method, optionally, in the symbol demultiplexing step, the external information LeDel(νti) obtained from the symbol multiplexing QAM demapper is de-interleaved and passed to the root node of the Polar decoder as external information, the soft information continuously iterates and updates between the polar root node and the polar leaf node, and after each cycle, the log-likelihood ratios (LLRs) output from the Polar decoder are used to update LeIn(νti) for the next outer iteration.
An optical communication system with high spectral efficiency and low power consumption based on joint channel coding modulation, which can be applied to any one of the optical communication methods with high spectral efficiency and low power consumption based on joint channel coding modulation, including a data acquisition module, a symbol multiplexing module, a signal communication module, a channel equalization module, and a symbol demultiplexing module;
the data acquisition module is configured to acquire signal source data generated by the user information;
the symbol multiplexing module is configured to perform channel coding and rate matching on signal source data based on a forward error correction of a polar code, send the signal source data to an interleaver for interleaving, and send the signal source data to a symbol multiplexer for many-to-one mapping and high order modulation to obtain a high spectral efficiency symbol multiplexing signal modulated by high spectral efficiency and short code low latency joint channel coding;
the signal communication module is configured to carry out digital-to-analog conversion and polarization multiplexing IQ modulation on the high spectral efficiency symbol multiplexing signal to realize electro-optical conversion, and send the generated optical signal to the fiber for communication to the optical receiver. The receiver receives signals by adopting a coherent detector, and then carries out analog-to-digital conversion to collect data to obtain the analog-to-digital converted signal;
the channel equalization module is configured to obtain the constellation information of the communication signal by performing clock recovery preliminarily, dispersion compensation, polarization demultiplexing, frequency offset compensation, and phase recovery on the analog-to-digital converted signal; and
the symbol demultiplexing module is configured to obtain a signal constellation point of constellation information of the communication signal, realize a bit interleaving polarization demodulation and iterative decoding process through multi-module iterative decoding based on soft information interaction, realize joint symbol demultiplexing and FEC decoding, and recover information bit data of the data source.
According to the above technical solutions, compared with the prior art, the present disclosure provides an optical communication method and an optical communication system with high spectral efficiency and low power consumption based on joint channel coding modulation which has the following beneficial effects:
(1) The symbol multiplexing technology is used to enhance the capacity of high-order modulation symbols by employing many-to-one overlapping mapping, thus improving the spectral efficiency.
(2) At the same time, the Euclidean distance between constellation points is enlarged by reducing the number of high-order modulation constellation points, and the tolerance to fiber dispersion and nonlinear effects is improved. and
(3) The parallel iterative design of the short-code polarization code is provided. This breakthrough eliminates the dependence of the gain of the optical communication high SNR on long code and long channel coding, resulting in a system with low delay characteristics.
To clearly illustrate the embodiments of the present disclosure or technical solutions in the related art, the accompanying drawings used in the embodiments or the related art will now be described briefly. It is obvious that the drawings in the following description are only the embodiment of the disclosure, and that those skilled in the art can obtain other drawings from these drawings without any creative efforts.
In the following, the technical solutions in the embodiments of the present disclosure will be clearly and completely described regarding the drawings in the embodiments of the present disclosure. The described embodiments are only a part of the embodiments of the present disclosure, but not all the embodiments thereof. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in the art without any creative efforts shall fall within the scope of the present disclosure.
In the application, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation without necessarily requiring or implying any such actual relationship or order between such entities or operations. The terms “include,” “comprise,” or any other variation thereof are intended to encompass non-exclusive inclusion, such that processes, methods, articles, or equipment that include a series of elements not only include those elements, but also include other elements not explicitly listed, or elements inherent to such processes, methods, articles, or equipment. Without further restriction, the element defined by the statement ‘including one . . . ’ does not exclude the existence of other identical elements in the processes, methods, articles, or equipment.
Referring to
a data acquisition step of acquiring signal source data generated by the user information;
a symbol multiplexing step of performing channel coding and rate matching on signal source data based on a forward error correction of a polar code, sending the signal source data to an interleaver for interleaving, and sending the signal source data to a symbol multiplexer for many-to-one mapping and high order modulation to obtain a high spectral efficiency symbol multiplexing signal modulated by high spectral efficiency and short code joint channel coding;
a signal communication step of carrying out the digital-to-analog conversion and polarization multiplexing IQ modulation on the high spectral efficiency symbol multiplexing signal to realize electro-optical conversion, sending the generated optical signal to the fiber for communication to the optical receiver. The receiver receives signals by adopting a coherent detector, and then carries out analog-to-digital conversion to collect data to obtain the analog-to-digital converted signal;
a channel equalization step of preliminarily obtaining the constellation information of the communication signal by performing clock recovery, dispersion compensation, polarization demultiplexing, frequency offset compensation, and phase recovery on the analog-to-digital converted signal; and
a symbol demultiplexing step of obtaining a signal constellation point of constellation information of the communication signal, realizing a bit interleaving polarization demodulation and iterative decoding process through multi-module iterative decoding based on soft information interaction, realizing joint symbol demultiplexing and FEC decoding, and recovering information bit data of the data source.
Furthermore, the symbol multiplexing step is based on the joint polar code channel coding modulation theory.
Furthermore, as shown in
Specifically, the mapping rule is:
Wherein, A(t) is the constellation point symbol after symbol multiplexing, and s(t) is the binary symbol.
Furthermore, in the process of signal communication, after channel equalization of fiber communication, coherent detection, and digital signal processing, the symbol demultiplexing process for the symbol multiplexing step can be expressed as:
wherein, y(t) is the digital signal after signal equalization, ξ−1() is the demultiplexing process of symbol multiplexing signal, γ is the soft decision rule, and LLRID is the prior information represented by logarithmic likelihood ratio.
Specifically, as shown in
Specifically, as shown in
Furthermore, as shown in
Furthermore, the external information LeDel(νti) obtained from the symbol multiplexing QAM demapper is de-interleaved and passed to the root node of the Polar decoder as external information, the soft information continuously iterates and updates between the polar root node and the polar leaf node, and after each cycle, the LLRs output from the Polar decoder are used to update LeIn(νti) for the next outer iteration
As shown in
For each symbol SDe-SDM(t)⇔(νt51, νt5i+1, . . . μt5i+4) to be demultiplexing, the LLRs output by the symbol multiplexing QAM demapper can be represented as:
Wherein, Txti includes the subsets χ(i,0)={s|νti=0} and χ(i,1)={s|νti=1} For SDM-8 QAM, the subset size of each symbol is 5. In the first round of demodulation, p(Txti) is posterior probability of each demodulated communication symbol Txti at the time t is assigned with an equal probability value for initialization. Then, the soft information is continuously iterated in the module A to perform Polar decoding and generate the posterior probability information of Txti. Appoint LeDel(νti) as the deinterleaved extrinsic information and LeIn(νti) as the interleaved extrinsic information, similarly, appoint LaDel(νti) as prior information of the Polar decoder and LaIn(νti) as prior information of the symbol multiplexing QAM demapper respectively. LeIn(νti) is interleaved and sent back to the symbol multiplexing QAM demapper as LaIn(νti) for the next round of outer iteration. The prior information of Txti can be expressed as:
wherein, p(νti) is the prior probability of each transmitted coded bit νti. The extrinsic information LeDel(νti) obtained from the symbol multiplexing QAM demapper is passed to the Polar RND of module A as extrinsic information after deinterleaving.
Then, the soft information is updated iteratively in Polar RND and Polar LND. This process is called an inner loop. The inner loop assists the outer loop to reduce the number of operations and improve efficiency.
the LLR transfer from LND to RND is defined as Ll,f and the LLR transfer from RND to LND is defined as Rl,f.The function μ(·) is defined as
After each inner loop, LLRs are output from the Polar decoder to update LeIn(νti) for the next outer iteration. The decoding output is based on the sum of the soft information of Rl,f and Ll,f, that is, the sum of the posterior probabilities, to make a decision.
Corresponding to the method described in
the data acquisition module is configured to acquire signal source data generated by the user information;
the symbol multiplexing module is configured to perform channel coding and rate matching on signal source data based on a forward error correction of a polar code, send the signal source data to an interleaver for interleaving, and send the signal source data to a symbol multiplexer for many-to-one mapping and high order modulation to obtain a high spectral efficiency symbol multiplexing signal modulated by high spectral efficiency and short code joint channel coding;
the signal communication module is configured to carry out digital-to-analog conversion and polarization multiplexing IQ modulation on the high spectral efficiency symbol multiplexing signal to realize electro-optical conversion, and send the generated optical signal to the fiber for communication to the optical receiver. The receiver receives signals by adopting a coherent detector, and then carries out analog-to-digital conversion to collect data to obtain the analog-to-digital converted signal;
the channel equalization module is configured to obtain the constellation information of the communication signal by performing clock recovery preliminarily, dispersion compensation, polarization demultiplexing, frequency offset compensation, and phase recovery on the analog-to-digital converted signal; and
the symbol demultiplexing module is configured to obtain a signal constellation point of constellation information of the communication signal, realize a bit interleaving polarization demodulation and iterative decoding process through multi-module iterative decoding based on soft information interaction, realize joint symbol demultiplexing and FEC decoding, and recover information bit data of the data source.
The above description of the disclosed embodiments enables those skilled in the art to implement or use the present disclosure. Various amendments to the embodiments will be apparent to those skilled in the art. The general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the disclosure. Therefore, the present disclosure will not be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Number | Date | Country | Kind |
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202311069995.2 | Aug 2023 | CN | national |