Data transmission method, system and device for millimeter wave optical fiber network communication and medium

Abstract

The invention discloses a data transmission method, system and device for millimeter wave optical fiber network communication and a medium, and relates to the technical field of data processing. Comprising the following steps: acquiring a plurality of channel impulse responses of a receiving end of millimeter wave optical fiber network communication; constructing a channel model through a hybrid modulation mode; the method comprises the following steps: simulating transmission characteristics of a millimeter wave optical fiber network through a channel model, and carrying out superposition demodulation and sampling judgment on millimeter wave optical fiber network communication data at the same moment and under the same phase condition to obtain an original data matrix; clustering rows and columns in the original data matrix by using a bi-clustering algorithm to obtain a feature clustering result; and realizing secure communication data transmission of the millimeter wave optical fiber network through a feature clustering result. According to the invention, the spectrum clustering effect of millimeter wave optical fiber network communication can be enhanced, and the security of optical fiber network communication data is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly to a data transmission method, system, device and medium for millimeter-wave fiber-optic network communication. Background Art

[0002] With the development of fiber-optic communication technology, the use of high-efficiency spectral hybrid modulation millimeter-wave fiber-optic network communication for data transmission has received extensive attention. In fiber-optic network communication, optical interference and multipath channel distribution interfere with each other, resulting in the communication stability and data secure transmission performance being affected.

[0003] Li Baolong et al. proposed an efficient spectral hybrid modulation method that combines VOOK and hierarchical OFDM in visible light communication, and designed a corresponding VOOK signal for high-efficiency spectral hybrid modulation millimeter-wave fiber-optic transmission for the hierarchical OFDM modulation method, avoiding the interference of VOOK on the hierarchical OFDM information transmission and improving the stability of high-efficiency spectral hybrid modulation millimeter-wave fiber-optic communication.

[0004] However, this method has the problems of high complexity and load of the received signal. In the existing research on millimeter-wave fiber-optic network communication, researchers mainly focus on improving the communication rate, reducing the bit error rate, and optimizing the network topology structure, etc. Summary of the Invention

[0005] Based on this, it is necessary to provide a data transmission method, system, device and medium for millimeter-wave fiber-optic network communication in view of the above technical problems.

[0006] An embodiment of the present invention provides a data transmission method for millimeter-wave fiber-optic network communication, including:

[0007] Obtaining a plurality of channel impulse responses received by the receiving end of millimeter-wave fiber-optic network communication under different receiving clustering conditions;

[0008] According to the communication characteristics of millimeter waves and fiber-optic communication characteristics in the process of millimeter-wave fiber-optic network communication, combining a plurality of channel impulse responses, constructing a channel model that characterizes the communication channel characteristics in the process of millimeter-wave fiber-optic network communication through a hybrid modulation method;

[0009] Simulating the transmission characteristics of the millimeter-wave fiber-optic network through the channel model, performing superposition demodulation and sampling decision on the millimeter-wave fiber-optic network communication data under the same time and same phase conditions to extract the high-frequency feature quantities of the millimeter-wave fiber-optic network communication data, and obtaining an original data matrix that characterizes the data time series in the process of millimeter-wave fiber-optic network communication;

[0010] Use a biclustering algorithm to cluster the rows and columns in the original data matrix to construct a submatrix representing the local association pattern of data in the millimeter-wave fiber-optic network communication process, and obtain a characteristic clustering result representing the internal structure and law of the millimeter-wave fiber-optic network communication data; and realize the secure data transmission of the millimeter-wave fiber-optic network communication through the characteristic clustering result.

[0011] Optionally, obtain multiple channel impulse responses received by the receiving end of the millimeter-wave fiber-optic network communication under different receiving clustering conditions, specifically including:

[0012] Set multiple different receiving clustering conditions in the millimeter-wave fiber-optic network communication system, and the receiving clustering conditions include different receiving end positions, receiving end device types, and received signal strengths;

[0013] Under each receiving clustering condition, send a probing signal to the fiber-optic network through channel sounding technology;

[0014] Capture the channel impulse response at the receiving end of the fiber-optic network, and the channel impulse response includes the delay, amplitude, and phase of the channel.

[0015] Optionally, construct a channel model representing the characteristics of the communication channel in the millimeter-wave fiber-optic network communication process through a hybrid modulation method, specifically including:

[0016] Obtain the optical effects including dispersion, attenuation, and nonlinear effects in the millimeter-wave fiber-optic network communication and the influence of the optical effects on signal transmission;

[0017] Determine the key parameters including path loss, delay, and Doppler frequency shift according to the communication characteristics of the millimeter wave in the millimeter-wave fiber-optic network communication process;

[0018] Model the optical effects, the influence of the optical effects on signal transmission, and the key parameters through a hybrid modulation method to obtain the mathematical expression of the channel model; the hybrid modulation method includes intensity modulation, phase modulation, and frequency modulation.

[0019] Optionally, it further includes predicting the channel parameters of each path in the channel model based on the measurement data in the millimeter-wave fiber-optic network communication process using a parameter estimation method, and the parameter estimation method includes a sparsity-based channel estimation algorithm and a beam search algorithm;

[0020] According to the channel parameters of each path in the channel model, determine the gain of each path through a path gain calculation method, and feedback the gain value of each path to the millimeter-wave fiber-optic network communication system to realize the cascaded channel path gain estimation of the millimeter-wave fiber-optic network communication.

[0021] Optionally, the millimeter-wave fiber-optic network communication data is subjected to superposition demodulation and sampling decision under the same time and same phase conditions through a channel model, which specifically includes:

[0022] Simulate the transmission characteristics of the millimeter-wave fiber-optic network through a channel model to process the millimeter-wave fiber-optic network communication data;

[0023] Under the same time and same phase conditions, perform superposition demodulation on the processed millimeter-wave fiber-optic network communication data to eliminate the multipath effect caused by the data passing through multiple paths during transmission, and obtain the superposition-demodulated signal;

[0024] Perform sampling decision on the superposition-demodulated signal, convert the continuous signal into a discrete digital signal, and determine the value of the signal by comparing the signal amplitude and the decision threshold to extract the high-frequency characteristic quantity of the millimeter-wave fiber-optic network communication data, and obtain the original data matrix.

[0025] Optionally, use the biclustering algorithm to cluster the rows and columns in the original data matrix, which specifically includes:

[0026] Perform preprocessing including data cleaning, standardization, and transformation on the original data matrix of the millimeter-wave fiber-optic network communication to obtain the processed data matrix;

[0027] According to the data characteristics and analysis objectives, select the biclustering algorithm, and the biclustering algorithm includes the CC algorithm, the FLOC algorithm, and the Unibic algorithm;

[0028] Input the processed data matrix into the selected biclustering algorithm to cluster the rows and columns of the processed data matrix, so as to construct a submatrix representing the local association pattern of the data in the millimeter-wave fiber-optic network communication process, and further obtain the characteristic clustering result representing the internal structure and law of the millimeter-wave fiber-optic network communication data.

[0029] The embodiment of the present invention also provides a data transmission system for millimeter-wave fiber-optic network communication, including:

[0030] A data acquisition module, configured to acquire a plurality of channel impulse responses received by the receiving end of the millimeter-wave fiber-optic network communication under different receiving clustering conditions;

[0031] A model construction module, configured to construct a channel model representing the communication channel characteristics in the millimeter-wave fiber-optic network communication process through a hybrid modulation method according to the millimeter-wave communication characteristics and fiber-optic communication characteristics in the millimeter-wave fiber-optic network communication process, in combination with a plurality of channel impulse responses;

[0032] An extraction module, configured to simulate the transmission characteristics of a millimeter-wave optical fiber network through a channel model, perform superposition demodulation and sampling decision on millimeter-wave optical fiber network communication data under the same time and the same phase conditions, so as to extract high-frequency feature quantities of the millimeter-wave optical fiber network communication data, and obtain an original data matrix representing the data time series in the millimeter-wave optical fiber network communication process;

[0033] A clustering module, configured to use a biclustering algorithm to cluster the rows and columns in the original data matrix, so as to construct a submatrix representing the local association pattern of the data in the millimeter-wave optical fiber network communication process, and obtain a feature clustering result representing the internal structure and law of the millimeter-wave optical fiber network communication data; and realize the secure data transmission of the millimeter-wave optical fiber network communication through the feature clustering result.

[0034] An embodiment of the present invention further provides a computer device, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the steps of the data transmission method for millimeter-wave optical fiber network communication are implemented.

[0035] An embodiment of the present invention further provides a storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the data transmission method for millimeter-wave optical fiber network communication are implemented.

[0036] The above-mentioned data transmission method, system, device and medium for millimeter-wave optical fiber network communication provided by the embodiments of the present invention have the following beneficial effects compared with the prior art:

[0037] The present invention uses a biclustering algorithm to process the original data matrix and obtains a feature clustering result; the feature clustering result can deeply reveal the internal structure and potential law of the millimeter-wave optical fiber network communication data. By classifying the data in the millimeter-wave optical fiber network communication process, the submatrices with local association patterns are classified into the same category, thereby simplifying the complexity and diversity of the data and solving the problems of high complexity and high load of the received signal in the prior art. Description of the Drawings

[0038] Figure 1 It is a schematic flowchart of a data transmission method for millimeter-wave optical fiber network communication provided in an embodiment;

[0039] Figure 2 It is a schematic diagram of the received array element channel impulse response of a data transmission method for millimeter-wave optical fiber network communication provided in an embodiment;

[0040] Figure 3 It is a schematic diagram of the optical fiber network communication time series of a data transmission method for millimeter-wave optical fiber network communication provided in an embodiment;

[0041] Figure 4Schematic diagram of clustering of electric field spectral characteristics of optical fiber network communication data in a data transmission method for millimeter-wave optical fiber network communication provided in an embodiment;

[0042] Figure 5 Schematic diagram of double clustering results of optical fiber network data in a data transmission method for millimeter-wave optical fiber network communication provided in an embodiment;

[0043] Figure 6 Comparison chart of data transmission bit error rate in a data transmission method for millimeter-wave optical fiber network communication provided in an embodiment;

[0044] Figure 7 Comparison result chart of data transmission delay in a data transmission method for millimeter-wave optical fiber network communication provided in an embodiment. Detailed implementation manners

[0045] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0046] In an embodiment, a data transmission method for millimeter-wave optical fiber network communication is provided. As Figure 1 shown, the method includes:

[0047] Obtain a plurality of channel impulse responses received by the receiving end of millimeter-wave optical fiber network communication under different receiving clustering conditions.

[0048] According to the communication characteristics of millimeter waves and the optical fiber communication characteristics in the process of millimeter-wave optical fiber network communication, combined with a plurality of channel impulse responses, a channel model characterizing the communication channel characteristics in the process of millimeter-wave optical fiber network communication is constructed through a hybrid modulation method.

[0049] Simulate the transmission characteristics of the millimeter-wave optical fiber network through the channel model, perform superposition demodulation and sampling decision on the millimeter-wave optical fiber network communication data under the same time and the same phase conditions, so as to extract the high-frequency characteristic quantities of the millimeter-wave optical fiber network communication data, and obtain an original data matrix characterizing the data time series in the process of millimeter-wave optical fiber network communication.

[0050] Use the biclustering algorithm to cluster the rows and columns in the original data matrix to construct a submatrix characterizing the local association pattern of the data in the process of millimeter-wave optical fiber network communication, and obtain a characteristic clustering result characterizing the internal structure and law of the millimeter-wave optical fiber network communication data; and realize the secure data transmission of the millimeter-wave optical fiber network communication through the characteristic clustering result.

[0051] Specifically, it includes:

[0052] 1. Construction process:

[0053] Constructing a hybrid modulation millimeter-wave fiber-optic network communication channel model is a complex process:

[0054] I. Defining the modeling objectives

[0055] First, it is necessary to define the modeling objectives, including the required communication performance metrics (such as transmission rate, bit error rate, delay, etc.), network topology (such as point-to-point, star, mesh, etc.), and application scenarios (such as high-speed data transmission, Internet of Things, mobile communication, etc.).

[0056] II. Analyzing the communication characteristics of millimeter waves

[0057] Frequency characteristics: The millimeter-wave band has an extremely high frequency, so it has great bandwidth potential, but it also brings higher path loss and penetration loss.

[0058] Directivity: Millimeter-wave communication usually uses large-scale antenna arrays (such as ULA or UPA) to achieve beamforming, thereby improving the directivity and anti-interference ability of communication.

[0059] Channel characteristics: Millimeter-wave channels usually have sparsity, that is, signals are mainly transmitted through a limited number of paths. These paths may include direct paths, reflection paths, and scattering paths, etc.

[0060] III. Analyzing the characteristics of fiber-optic communication

[0061] Bandwidth: Fiber-optic communication has extremely high bandwidth and can support high-speed data transmission.

[0062] Attenuation: The signal attenuation in fiber-optic communication mainly depends on factors such as the material of the optical fiber, length, and the wavelength of the optical signal, etc.

[0063] Dispersion: The dispersion phenomenon in fiber-optic communication will cause signal distortion, and corresponding compensation measures need to be taken.

[0064] IV. Selecting hybrid modulation techniques

[0065] Hybrid modulation techniques combine multiple modulation methods to make full use of the advantages of various modulation methods and improve the performance of the communication system. When selecting hybrid modulation techniques, the following factors need to be considered:

[0066] Compatibility of modulation methods: Ensure that the selected modulation methods are compatible with each other and will not cause serious interference during the hybrid modulation process.

[0067] Modulation efficiency: According to indicators such as the required transmission rate and bit error rate, select modulation methods with higher modulation efficiency.

[0068] Implementation complexity: Consider the implementation complexity of the modulation method, including hardware cost, algorithm complexity, etc.

[0069] V. Constructing a channel model

[0070] Determine channel parameters: According to the characteristics of millimeter-wave and optical fiber communications, determine the key parameters in the channel model, such as path loss, time delay, Doppler frequency shift, etc.

[0071] Establish a mathematical model: Based on the determined channel parameters, establish a mathematical expression for the channel model. This usually involves modeling various effects during signal transmission, such as path loss model, multipath effect model, scattering model, etc.

[0072] Simulation and verification: Use simulation software to simulate the channel model to verify the accuracy and reliability of the model. During the simulation process, the channel parameters can be adjusted to observe the impact on communication performance, and the model can be optimized accordingly.

[0073] 2. The differences between constructing the channel model of millimeter-wave fiber-optic network communication with hybrid modulation and establishing the multipath interference suppression model of the fiber-optic network communication channel using the electromagnetic coupling modulation method.

[0074] I. Different model construction objectives and concerns

[0075] Channel model of millimeter-wave fiber-optic network communication with hybrid modulation:

[0076] Objective: This model aims to comprehensively describe the communication channel characteristics in the millimeter-wave fiber-optic network with hybrid modulation, including signal transmission, attenuation, interference, and modulation methods, etc.

[0077] Concerns: The construction of the model needs to consider the combined effects of millimeter-wave and optical fiber communications, as well as the impact of hybrid modulation technology on channel characteristics.

[0078] Multipath interference suppression model of the fiber-optic network communication channel established by the electromagnetic coupling modulation method:

[0079] Objective: This model mainly focuses on the multipath interference problem in the fiber-optic network communication channel and suppresses this interference through the electromagnetic coupling modulation method.

[0080] Concerns: The construction of the model focuses on the implementation method of the electromagnetic coupling modulation technology and its suppression effect on multipath interference.

[0081] II. Different technologies and fields involved in the models

[0082] Channel model of millimeter-wave fiber-optic network communication with hybrid modulation:

[0083] Technologies: Involve multiple fields such as millimeter-wave communication, optical fiber communication, and hybrid modulation technology.

[0084] Field: Covers multiple disciplines such as communication principles, signal processing, antenna design, etc.

[0085] The electromagnetic coupling modulation method establishes a multipath interference suppression model for the optical fiber network communication channel:

[0086] Technology: Mainly relies on electromagnetic coupling modulation technology, and may also involve fields such as antenna design and signal processing.

[0087] Field: More focused on research in aspects such as electromagnetics, antenna design, and signal processing.

[0088] III. The core content of the models is different

[0089] Communication channel model of the millimeter-wave optical fiber network with hybrid modulation:

[0090] Core content: Includes the determination of channel parameters (such as path loss, delay, Doppler frequency shift, etc.), the mathematical description of channel characteristics, and the influence of hybrid modulation technology on channel characteristics, etc.

[0091] Characteristics: The model has a high degree of comprehensiveness and complexity, and multiple factors need to be considered comprehensively.

[0092] The electromagnetic coupling modulation method establishes a multipath interference suppression model for the optical fiber network communication channel:

[0093] Core content: Mainly focuses on the implementation method of electromagnetic coupling modulation technology and its suppression effect on multipath interference. The model may involve aspects such as the design of antenna arrays and the optimization of signal transmission paths.

[0094] Characteristics: The model has pertinence and practicality, aiming to solve specific multipath interference problems.

[0095] IV. The application scenarios of the models are different

[0096] Communication channel model of the millimeter-wave optical fiber network with hybrid modulation:

[0097] Application scenario: Suitable for complex communication systems that need to comprehensively consider the characteristics of millimeter-wave and optical fiber communications, such as high-speed data transmission networks, mobile communication networks, etc.

[0098] The electromagnetic coupling modulation method establishes a multipath interference suppression model for the optical fiber network communication channel:

[0099] Application scenario: Mainly applicable to the multipath interference suppression problem in optical fiber communication systems, especially in complex environments or scenarios that require high data transmission quality.

[0100] In summary, there are significant differences between constructing a channel model for millimeter-wave fiber-optic network communication with hybrid modulation and establishing a multipath interference suppression model for fiber-optic network communication channels using electromagnetic coupling modulation methods in terms of construction objectives, involved technologies and fields, core content, and application scenarios. Each of these two models has its own unique advantages and scope of application, and can be selected and applied according to specific application requirements and scenarios.

[0101] 3. Implement cascaded channel path gain estimation for millimeter-wave fiber-optic network communication

[0102] Implementing cascaded channel path gain estimation for millimeter-wave fiber-optic network communication is a complex and crucial process. It first requires establishing an accurate channel model that comprehensively considers the high-frequency, directional, and sparse characteristics of millimeter waves, as well as the attenuation and dispersion characteristics of fiber-optic communication. On this basis, by collecting measurement data in the actual network environment and using advanced parameter estimation methods, such as sparsity-based channel estimation algorithms or beam search algorithms, to accurately estimate channel parameters, such as path loss, delay, angle of arrival, and angle of departure. Subsequently, calculate the gain of each path based on these parameters and verify the accuracy of the estimation results by comparing with the actual measurement data. Finally, continuously optimize the channel model, parameter estimation method, and path gain calculation method to improve the accuracy and efficiency of the estimation, thereby providing strong support for the performance improvement and resource optimization of the millimeter-wave fiber-optic network communication system. This process is crucial for ensuring the stability and reliability of the communication system.

[0103] Provide a specific embodiment of the present invention:

[0104] In the simulation test of fiber-optic network communication data transmission, the number of data sampling array elements for fiber-optic network communication is 24, the period of array element configuration is 70.5 mm, the coordinates of the receiver center position are (1.5 m, 1.5 m, 0.5 m), the size of the channel loading absorption window for high-efficiency spectral hybrid modulation millimeter waves is 56 rad, the simulated frequency of channel transmission is 2.68 GHz, the attenuation frequency of space propagation is 36 KHz, the rated frequency band for fiber-optic transmission data acquisition is 2 KHz to 10 KHz, and the time width is 4 ms. The channel impulse response of the receiving array elements under different receiving clusters is given as Figure 2 shown.

[0105] According to Figure 2 the channel impulse response, perform simultaneous in-phase superposition demodulation and sampling decision on the PTRM outputs of 10 array elements, take the sampling decision delay time as 12 ms, SNR = 15 dB, and obtain the time series of the input data of the fiber-optic network communication as Figure 3 shown.

[0106] Taking Figure 3Taking the time series as the research object, for the processing of optical fiber network communication data, first, the clustering results of the electric field spectrum characteristics of optical fiber network communication data are given, as Figure 4 shown.

[0107] The specific process of optical fiber network communication data transmission processing includes: First, the original data is converted into an electrical signal and modulated onto an optical wave to form an optical signal. Subsequently, the optical signal is transmitted over a long distance in the optical fiber through the principle of total internal reflection, and an optical amplifier may be required to compensate for attenuation during this period. After reaching the receiving end, the optical signal is converted into an electrical signal and demodulated back to the original data. During the whole process, the optical signal is stably transmitted in the optical fiber, avoiding electromagnetic interference and ensuring the high speed and reliability of data transmission.

[0108] Analysis Figure 4 It is known that the original optical fiber network data is affected by multipath interference, resulting in poor clustering and affecting the data transmission efficiency. The biclustering method is used to process the block clustering of optical fiber network communication data to realize the cascade channel gain estimation of millimeter-wave optical fiber network communication. The best results of biclustering are as Figure 5 shown.

[0109] The specific process of using the biclustering method includes:

[0110] (1) Data preprocessing: First, the original data of optical fiber network communication is preprocessed, including steps such as data cleaning, normalization, and transformation, to ensure data quality and meet the requirements of the biclustering algorithm.

[0111] (2) Algorithm selection: According to the data characteristics and analysis objectives, a suitable biclustering algorithm is selected. Common biclustering algorithms include the CC algorithm, the FLOC algorithm, the Unibic algorithm, etc. These algorithms have their own advantages and disadvantages. For example, the CC algorithm is more efficient but may fall into a local optimum, and the FLOC algorithm can find overlapping biclusters but the results are greatly affected by the initial clustering.

[0112] (3) Algorithm execution: The preprocessed data is input into the selected biclustering algorithm, and the algorithm will simultaneously cluster the rows and columns of the data to find submatrices that meet specific conditions. These submatrices represent local association patterns in the data, which may correspond to specific network structures, traffic patterns, or fault characteristics in optical fiber network communication, etc.

[0113] (4) Result analysis: Analyze the output results of the biclustering algorithm to identify meaningful biclusters. These biclusters can help researchers better understand the internal structure and laws of optical fiber network communication data, and then optimize network performance, improve data transmission efficiency, or detect potential network faults.

[0114] (5) Application and Optimization: According to the analysis results, apply the biclustering method to practical problems in fiber optic network communication, such as network traffic prediction, fault detection and location, etc. At the same time, optimize and improve the biclustering algorithm based on the actual application effect to enhance the accuracy and efficiency of the algorithm.

[0115] Analysis Figure 5 It is known that the present invention has a good spectrum clustering effect on high-efficiency spectrum hybrid modulation millimeter-wave fiber optic network communication, improving the security of fiber optic network communication data. The output error rate and signal-to-noise ratio of the test data are obtained, as Figure 7 shown.

[0116] Test the symbol error rate (SER), signal-to-noise ratio (SNR), and data transfer rate (DTR) of different methods. The signal-to-noise ratio refers to the ratio of the effective power of the signal to the noise power contained in the signal. The signal-to-noise ratio is an important indicator of signal quality. The higher the signal-to-noise ratio, the better the signal quality and the lower the noise level. The calculation formula is as follows:

[0117]

[0118] In the formula, D is the error code in transmission, M is the total number of codes transmitted, P s is the effective power of the signal, P n is the effective power of the noise, Y is the amount of data transmitted, and T is the transmission time.

[0119] Exemplarily, make a comparative illustration with the "low-complexity millimeter-wave channel estimation algorithm in reconfigurable intelligent surfaces" (assumed as Method A), the "high-efficiency spectrum hybrid modulation method integrating VOOK and hierarchical OFDM in visible light communication" (assumed as Method B), and the method in the present invention. As shown in Table 1, it is the signal-to-noise ratio comparison of the three methods.

[0120] Table 1 Signal-to-Noise Ratio Comparison

[0121]

[0122] Analyzing Table 1, it is known that the signal-to-noise ratio of the present invention is 49 dB, and the highest signal-to-noise ratios of Method A and Method B are 45 dB and 43 dB respectively. It can be seen that the signal-to-noise ratio of the present invention is relatively high.

[0123] Analysis Figure 6 It is known that the symbol error rate of the present invention for fiber optic network communication data transmission is 10-12, and the symbol error rates of Method A and Method B for fiber optic network communication data transmission are both 10-11. It can be seen that the symbol error rate of the present invention is relatively low, and the transmission security and timeliness are better

[0124] To further verify the practicability of the present invention, an experiment was conducted with the data transmission delay as the experimental index. The test results are as Figure 7 shown.

[0125] It can be Figure 7 seen that the highest data transmission delay of the present invention is 0.050 s, the highest data transmission delay of Method A is 0.079 s, and the highest data transmission delay of Method B is 0.090 s. It can be seen that the data transmission delay of the present invention is lower, and the expected effect is achieved. No obvious defects or problems are found, which proves that the present invention has good application performance.

[0126] Based on the above content, the comparison results of the data transmission rate and round-trip delay using different methods are obtained, and the relevant values are shown in Table 2.

[0127] Table 2 Comparison Results of Different Evaluation Indexes

[0128]

[0129] As can be seen from Table 2, the data transmission rate of the present invention is 214.28 Gbit / s, and the round-trip delay is 0.057 s, while the data transmission rates of Method A and Method B are lower than 200 Gbit / s, and the round-trip delays are higher than 0.065 s. It can be seen that the data transmission rate of the present invention is faster and the round-trip delay is lower.

[0130] The experimental results show that the present invention is superior to the prior art in terms of multipath interference suppression, communication security, and data transmission efficiency. Specifically, in terms of multipath interference suppression, the bit error rate can be significantly reduced; in terms of communication security, various attack means can be effectively resisted to protect the security of data; in terms of data transmission efficiency, the communication rate and throughput can be significantly improved.

[0131] Based on the same inventive concept, the present invention also provides a data transmission system for millimeter-wave fiber-optic network communication, including:

[0132] A data acquisition module for acquiring multiple channel impulse responses received by the receiving end of the millimeter-wave fiber-optic network communication under different receiving clustering conditions.

[0133] A model construction module for constructing a channel model characterizing the communication channel characteristics in the millimeter-wave fiber-optic network communication process through a hybrid modulation method by combining the communication characteristics of millimeter waves and the fiber-optic communication characteristics in the millimeter-wave fiber-optic network communication process and multiple channel impulse responses.

[0134] An extraction module, configured to simulate the transmission characteristics of a millimeter-wave optical fiber network through a channel model, perform superposition demodulation and sampling decision on millimeter-wave optical fiber network communication data under the same time and the same phase conditions, so as to extract high-frequency feature quantities of the millimeter-wave optical fiber network communication data, and obtain an original data matrix representing the data time series in the millimeter-wave optical fiber network communication process.

[0135] A clustering module, configured to use a biclustering algorithm to cluster the rows and columns in the original data matrix, so as to construct a submatrix representing the local association pattern of the data in the millimeter-wave optical fiber network communication process, and obtain a feature clustering result representing the internal structure and law of the millimeter-wave optical fiber network communication data; and realize the secure data transmission of the millimeter-wave optical fiber network through the feature clustering result.

[0136] The present invention also provides a computer device, including a memory, a processor, and a computer program stored on the memory. The processor executes the computer program to implement the steps in the embodiment of the data transmission method for millimeter-wave optical fiber network communication. For the specific implementation method, reference can be made to the method embodiment, which will not be elaborated here.

[0137] The present invention also provides a computer-readable storage medium containing instructions, on which a computer program is stored. For example, a memory containing instructions, and the above instructions can be executed by the processor of the computer device to complete the above method. For example, the non-transitory computer-readable storage medium can be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc. When the computer program is executed by the processor, it can implement the steps in the embodiment of the data transmission method for millimeter-wave optical fiber network communication. For the specific implementation method, reference can be made to the method embodiment, which will not be elaborated here.

[0138] The above embodiments only represent several implementation manners of the present invention, and the description thereof is relatively specific and detailed, but it should not be construed as a limitation on the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several deformations and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the invention patent should be subject to the appended claims.

Claims

1. A data transmission method for millimeter wave optical fiber network communication, characterized in that: include: Acquire multiple channel impulse responses received by a receiving end of millimeter wave optical fiber network communication under different receiving clustering conditions; According to the communication characteristics of millimeter waves and optical fiber communication characteristics in the millimeter wave optical fiber network communication process, combined with multiple channel impulse responses, a channel model that characterizes the communication channel characteristics in the millimeter wave optical fiber network communication process is constructed through a hybrid modulation method; The transmission characteristics of the millimeter wave optical fiber network are simulated through the channel model, and the millimeter wave optical fiber network communication data is superimposed, demodulated and sampled and judged at the same time and the same phase conditions to extract the high-frequency feature quantity of the millimeter wave optical fiber network communication data, and obtain the original data matrix representing the data time series in the millimeter wave optical fiber network communication process; A dual clustering algorithm is used to cluster the rows and columns in the original data matrix to construct a submatrix that characterizes the local correlation pattern of the data in the millimeter-wave optical fiber network communication process, and obtains the feature clustering results that characterize the inherent structure and regularity of the millimeter-wave optical fiber network communication data; and the secure data transmission of the millimeter-wave optical fiber network communication is achieved through the feature clustering results.

2. A data transmission method for millimeter wave optical fiber network communication as claimed in claim 1, characterized in that: The obtaining of multiple channel impulse responses received by a receiving end of millimeter wave optical fiber network communication under different receiving clustering conditions specifically includes: A plurality of different receiving clustering conditions are set in a millimeter wave optical fiber network communication system, wherein the receiving clustering conditions include different receiving end positions, receiving end device types and receiving signal strengths; Under each receiving clustering condition, a detection signal is sent to the optical fiber network through a channel detection technique; The channel impulse response is captured at the receiving end of the optical fiber network. The channel impulse response includes the channel delay, amplitude and phase.

3. A data transmission method for millimeter wave optical fiber network communication as claimed in claim 1, characterized in that: The channel model for characterizing the communication channel characteristics in the millimeter wave optical fiber network communication process is constructed by hybrid modulation, specifically including: Obtain the optical effects including dispersion, attenuation and nonlinear effects in millimeter wave fiber network communications and the impact of optical effects on signal transmission; Determine key parameters including path loss, delay and Doppler shift according to the communication characteristics of millimeter waves in the millimeter wave optical fiber network communication process; The optical effect, the influence of the optical effect on signal transmission and key parameters are modeled through a hybrid modulation method to obtain a mathematical expression of a channel model; the hybrid modulation method includes intensity modulation, phase modulation and frequency modulation.

4. A data transmission method for millimeter wave optical fiber network communication as claimed in claim 3, characterized in that: The method also includes predicting the channel parameters of each path in the channel model using a parameter estimation method based on the measurement data in the millimeter wave optical fiber network communication process, wherein the parameter estimation method includes a sparsity-based channel estimation algorithm and a beam search algorithm; According to the channel parameters of each path in the channel model, the gain of each path is determined by the path gain calculation method, and the gain value of each path is fed back to the millimeter wave optical fiber network communication system to realize the cascade channel path gain estimation of the millimeter wave optical fiber network communication.

5. The data transmission method for millimeter wave optical fiber network communication according to claim 1, characterized in that: The method of performing superposition demodulation and sampling judgment on the millimeter wave optical fiber network communication data at the same time and the same phase condition by using the channel model specifically includes: The transmission characteristics of the millimeter wave optical fiber network are simulated through the channel model to process the communication data of the millimeter wave optical fiber network; At the same time and the same phase, the processed millimeter wave optical fiber network communication data is superimposed and demodulated to eliminate the multipath effect caused by the data being transmitted through multiple paths during the transmission process, and a superimposed and demodulated signal is obtained; The superimposed demodulated signal is sampled and judged, and the continuous signal is converted into a discrete digital signal. The signal value is determined by comparing the signal amplitude and the decision threshold to extract the high-frequency feature quantity of the millimeter-wave optical fiber network communication data and obtain the original data matrix.

6. A data transmission method for millimeter wave optical fiber network communication as claimed in claim 1, characterized in that: The method of clustering the rows and columns in the original data matrix using a biclustering algorithm specifically includes: Performing preprocessing including data cleaning, standardization and conversion on the original data matrix of millimeter wave optical fiber network communication to obtain a processed data matrix; According to data characteristics and analysis objectives, a biclustering algorithm is selected, wherein the biclustering algorithm includes CC algorithm, FLOC algorithm and Unibic algorithm; The processed data matrix is ​​input into the selected double clustering algorithm, and the rows and columns of the processed data matrix are clustered to construct a sub-matrix that characterizes the local correlation pattern of the data in the millimeter-wave optical fiber network communication process, and then obtain the characteristic clustering results that characterize the inherent structure and regularity of the millimeter-wave optical fiber network communication data.

7. A data transmission system for millimeter wave optical fiber network communication, characterized in that: include: A data acquisition module, used to acquire multiple channel impulse responses received by a receiving end of millimeter wave optical fiber network communication under different receiving clustering conditions; A model building module is used to build a channel model that characterizes the communication channel characteristics in the millimeter wave optical fiber network communication process through a mixed modulation method based on the communication characteristics of the millimeter wave and the optical fiber communication characteristics in the millimeter wave optical fiber network communication process and in combination with multiple channel impulse responses; An extraction module is used to simulate the transmission characteristics of the millimeter wave optical fiber network through a channel model, perform superposition demodulation and sampling judgment on the millimeter wave optical fiber network communication data at the same time and the same phase conditions to extract the high-frequency feature quantity of the millimeter wave optical fiber network communication data, and obtain the original data matrix representing the data time series in the millimeter wave optical fiber network communication process; The clustering module is used to cluster the rows and columns in the original data matrix using a dual clustering algorithm to construct a submatrix that characterizes the local correlation pattern of the data in the millimeter-wave optical fiber network communication process, and obtain the characteristic clustering results that characterize the inherent structure and regularity of the millimeter-wave optical fiber network communication data; and realize the secure data transmission of the millimeter-wave optical fiber network communication through the characteristic clustering results.

8. A computer device comprising a memory and a processor, wherein a computer program is stored in the memory, wherein: When the processor executes the computer program, the steps of the data transmission method for millimeter wave optical fiber network communication described in any one of claims 1-6 are implemented.

9. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the data transmission method for millimeter wave optical fiber network communication described in any one of claims 1 to 6 are implemented.

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