Method and System for Efficient Signal Transmission of Integrated Microwave Transmission Equipment

By using Wi-Fi6 channel binding technology and OFDMA technology to divide molecular carriers in microwave transmission equipment, and performing a double-term equalization analysis of modulation method and encoding redundancy, the problems of insufficient utilization of channel resources and poor signal transmission stability are solved, and efficient and stable signal transmission is achieved.

CN119788255BActive Publication Date: 2025-06-13BEIJING YITE VIDEO TECH CO LTD
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Patent Information

Application Number
CN202510272430.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-03-10
Publication Date
2025-06-13
Estimated Expiration
2045-03-10

AI Technical Summary

Technical Problem

In the high frequency band such as 13GHz, existing microwave transmission equipment has insufficient channel resource utilization, low transmission efficiency, and poor signal transmission stability in the face of multipath effect and interference.

Method used

The target channel is selected using Wi-Fi6 channel binding technology, and the molecular carrier is divided through OFDMA technology, transmission quality factors are evaluated, and a double-term equalization analysis of modulation method and encoding redundancy is performed, appropriate modulation and coding strategies are determined, and Wi-Fi6 technology is used for modulation and encoding.

Benefits of technology

It improves signal transmission efficiency and transmission stability, makes full use of channel resources, and enhances resistance to multipath effects and interference.

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Abstract

The present invention discloses a method and system for efficient signal transmission of an integrated microwave transmission device, relating to the field of wireless transmission. The method includes: obtaining a target signal sending point and a receiving point, selecting a target channel using the Wi-Fi6 channel bonding technology in the 13 GHz frequency band, dividing the spectrum of the target channel into subcarriers by using the OFDMA technology to obtain K subcarriers; performing transmission quality analysis to obtain the transmission quality factors of the K subcarriers; performing a two-way equilibrium analysis of modulation mode and coding redundancy to determine K modulation modes and K coding redundancies; modulating the K subcarriers using Wi-Fi6 and encoding the transmitted data; and performing signal transmission of the K encoded redundant transmitted data between the target signal sending point and the target signal receiving point based on the K modulated subcarriers. It solves the technical problems of low transmission efficiency and poor stability existing in the existing signal transmission, and achieves the technical effect of improving the signal transmission efficiency and stability.
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Description

Technical Field

[0001] This application relates to the field of wireless transmission, and particularly to a method and system for efficient signal transmission of an integrated microwave transmission device. Background Art

[0002] With the explosive growth of data traffic and the increasing diversification of communication requirements, how to ensure the efficiency and stability of signals during microwave transmission has become a key issue to be urgently solved. Currently, the main methods to solve the problem of efficient signal transmission are to adopt traditional microwave transmission technologies and channel allocation strategies. These methods, by means of optimizing transmission protocols, improving device performance, etc., have improved the signal transmission efficiency to a certain extent. However, traditional microwave transmission technologies and channel allocation strategies gradually expose some problems when facing complex and changeable communication environments and increasing data transmission requirements. Especially in high-frequency bands such as 13 GHz, channel resources become particularly tense, and traditional channel allocation methods are difficult to make full use of spectrum resources, resulting in low transmission efficiency. In addition, traditional transmission technologies are also unable to cope with challenges such as multipath effects and interference, and it is difficult to ensure the stable transmission of signals.

[0003] In the related technologies at the present stage, there are technical problems of low transmission efficiency and poor transmission stability in the signal transmission of microwave transmission devices. Summary of the Invention

[0004] This application provides a method and system for efficient signal transmission of an integrated microwave transmission device. By using the Wi-Fi6 channel bonding technology to select a target channel in the 13 GHz band, and through the OFDMA technology to perform subcarrier division, traversing all subcarriers, evaluating their transmission quality, obtaining a transmission quality factor, based on the transmission quality factor, performing a two-way equilibrium analysis of modulation mode and coding redundancy, determining the modulation and coding strategies for each subcarrier, according to the determined strategies, using the Wi-Fi6 technology to modulate and data-encode the subcarriers, and transmitting the coded redundant transmission data from the sending point to each receiving point through the modulated subcarriers and other technical means, the technical effects of improving signal transmission efficiency and transmission stability are achieved.

[0005] The present application provides a method for efficient signal transmission of an integrated microwave transmission device, including: obtaining a target signal sending point and K target signal receiving points, selecting a target channel using the channel bonding technology of Wi-Fi6 in the 13GHz frequency band scanned by the microwave transmission device, and dividing the spectrum of the target channel into subcarriers using the OFDMA technology to obtain K subcarriers, where K is a positive integer; traversing the K subcarriers for transmission quality analysis to obtain K subcarrier transmission quality factors; performing two-way equilibrium analysis of modulation mode and coding redundancy based on the magnitudes of the K subcarrier transmission quality factors to determine K modulation modes and K coding redundancies; modulating and transmitting data encoding for the K subcarriers respectively using Wi-Fi6 according to the K modulation modes and K coding redundancies to obtain K modulated subcarriers and K coded redundant transmission data; and performing signal transmission of the K coded redundant transmission data between the target signal sending point and the K target signal receiving points based on the K modulated subcarriers.

[0006] In a possible implementation manner, performing two-way equilibrium analysis of modulation mode and coding redundancy based on the magnitudes of the K subcarrier transmission quality factors to determine K modulation modes and K coding redundancies, and performing the following processing: identifying the K subcarrier transmission quality factors using a two-way equilibrium analysis channel to obtain K modulation mode - coding redundancy combinations; performing multiple random adjustments on the K modulation mode - coding redundancy combinations according to a preset adjustment manner to obtain a set of K adjusted modulation mode - coding redundancy combinations, where the preset adjustment manner is to adjust the order of the modulation mode and / or the minimum distance of the coding redundancy according to a preset amplitude; performing equilibrium identification on the set of K adjusted modulation mode - coding redundancy combinations to obtain K equilibrium fitness sets; dividing the set of K adjusted modulation mode - coding redundancy combinations into a leading combination and a following combination according to the magnitudes of the K equilibrium fitness sets to obtain K leading combinations and a set of K following combinations; performing directional adjustment analysis on the K leading combinations and the set of K following combinations to obtain K target combinations, and obtaining the K modulation modes and K coding redundancies according to the K target combinations.

[0007] In a possible implementation manner, performing the following processing: determining whether all of the K equilibrium fitness sets are less than or equal to a preset fitness threshold, and if so, adding the set of K adjusted modulation mode - coding redundancy combinations to an adjustment exclusion taboo table, where the adjustment exclusion taboo table includes a preset taboo number.

[0008] In a possible implementation, traverse the K subcarriers to perform transmission quality analysis, obtain K subcarrier transmission quality factors, and perform the following processing: Obtain the subcarrier signal transmission characteristics of the K subcarriers within a preset monitoring window to obtain a sequence of K subcarrier signal transmission characteristics; perform feature iterative analysis on the sequence of K subcarrier signal transmission characteristics to determine the iterative transmission characteristics of the K subcarrier signals; use the transmission quality factor function to analyze the iterative transmission characteristics of the K subcarrier signals respectively to obtain the K subcarrier transmission quality factors.

[0009] In a possible implementation, perform the following processing: The transmission quality factor function is: ; where is the transmission quality factor of the Kth subcarrier, is the weight coefficient of the signal-to-noise ratio, is the weight coefficient of the bit error rate, is the weight coefficient of the interference intensity, is the weight coefficient of the path loss, is the signal-to-noise ratio of the Kth subcarrier, is the bit error rate of the Kth subcarrier, is the interference intensity of the Kth subcarrier, is the path loss of the Kth subcarrier.

[0010] In a possible implementation, perform feature iterative analysis on the sequence of K subcarrier signal transmission characteristics to determine the iterative transmission characteristics of the K subcarrier signals, and perform the following processing: In chronological order, perform feature iterative analysis on the K first subcarrier signal transmission characteristics and the K second subcarrier signal transmission characteristics in the sequence of K subcarrier signal transmission characteristics to obtain K first interactive subcarrier signal transmission characteristics; perform feature iterative analysis on the K first interactive subcarrier signal transmission characteristics and the K third subcarrier signal transmission characteristics in the sequence of K subcarrier signal transmission characteristics to obtain K second interactive subcarrier signal transmission characteristics; and so on, based on the K second interactive subcarrier signal transmission characteristics, perform feature iterative analysis on the remaining subcarrier signal transmission characteristics in the sequence of K subcarrier signal transmission characteristics to obtain the iterative transmission characteristics of the K subcarrier signals.

[0011] In a possible implementation manner, in chronological order, perform feature iterative analysis on the K first subcarrier signal transmission characteristics and the K second subcarrier signal transmission characteristics in the K subcarrier signal transmission characteristic sequences, to obtain K first interactive subcarrier signal transmission characteristics, and perform the following processing: Use the cosine similarity calculation formula to calculate the feature similarities between the K first subcarrier signal transmission characteristics and the K second subcarrier signal transmission characteristics respectively, to obtain a set of K first interactive feature similarities; Use the softmax formula to perform normalization processing on the set of K first interactive feature similarities, and fill the processed data into K initially empty matrices, to obtain K first interactive matrices; Use a convolutional network to perform mapping calculations on the K second subcarrier signal transmission characteristics and the K first interactive matrices respectively, to obtain K first interactive subcarrier signal transmission characteristics.

[0012] In a possible implementation manner, on the 13 GHz frequency band scanned by the microwave transmission device, use the channel bonding technology of Wi-Fi 6 to select a target channel, and perform the following processing: The microwave transmission device performs channel scanning to obtain the bandwidths of multiple available sub-bands on the 13 GHz frequency band; Use a spectrum analyzer to analyze the signal characteristics of the multiple sub-bands to obtain a set of multiple sub-band signal characteristics; Perform interference analysis on the set of multiple sub-band signal characteristics to obtain multiple sub-band interference factors; Based on the multiple sub-band bandwidths and the multiple sub-band interference factors, use the channel bonding technology to determine the target channel.

[0013] In a possible implementation manner, perform the following processing: The microwave transmission device includes an outdoor antenna unit and an indoor host unit, where the indoor host unit is used to modulate an intermediate frequency signal and transmit it to the antenna unit, and the antenna unit is used to convert the intermediate frequency signal into a radio frequency signal for transmission.

[0014] The present application also provides a signal efficient transmission system for an integrated microwave transmission device, including: a subcarrier division module, configured to obtain a target signal sending point and K target signal receiving points, select a target channel using the channel bonding technology of Wi-Fi6 on the 13 GHz frequency band scanned by the microwave transmission device, and perform subcarrier division on the spectrum of the target channel using the OFDMA technology to obtain K subcarriers, where K is a positive integer; a transmission quality analysis module, configured to traverse the K subcarriers for transmission quality analysis to obtain K subcarrier transmission quality factors; a two-way equalization analysis module, configured to perform two-way equalization analysis of modulation mode and coding redundancy based on the magnitudes of the K subcarrier transmission quality factors to determine K modulation modes and K coding redundancies; a coding module, configured to modulate and perform transmission data coding on the K subcarriers respectively using Wi-Fi6 according to the K modulation modes and K coding redundancies to obtain K modulated subcarriers and K coded redundant transmission data; and a signal transmission module, configured to perform signal transmission of the K coded redundant transmission data between the target signal sending point and the K target signal receiving points based on the K modulated subcarriers.

[0015] It is intended to adopt the signal efficient transmission method and system for the integrated microwave transmission device proposed in the present application. First, a target signal sending point and K target signal receiving points are obtained. On the 13 GHz frequency band scanned by the microwave transmission device, a target channel is selected using the channel bonding technology of Wi-Fi6, and the spectrum of the target channel is divided into subcarriers using the OFDMA technology to obtain K subcarriers, where K is a positive integer. Then, the K subcarriers are traversed for transmission quality analysis to obtain K subcarrier transmission quality factors. Next, two-way equalization analysis of modulation mode and coding redundancy is performed based on the magnitudes of the K subcarrier transmission quality factors to determine K modulation modes and K coding redundancies. Then, according to the K modulation modes and K coding redundancies, the K subcarriers are modulated and transmission data is coded respectively using Wi-Fi6 to obtain K modulated subcarriers and K coded redundant transmission data. Finally, signal transmission of the K coded redundant transmission data between the target signal sending point and the K target signal receiving points is performed based on the K modulated subcarriers. The technical effect of improving signal transmission efficiency and transmission stability is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings of the embodiments of the present invention will be briefly introduced below. Flowcharts are used in the present application to illustrate the operations performed by the systems according to the embodiments of the present application. It should be understood that the operations before or below do not necessarily need to be executed precisely in sequence. On the contrary, according to the needs, they can be executed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or several operations can be removed from these processes.

[0017] Figure 1 Schematic flowchart of the method for efficient signal transmission of the integrated microwave transmission device provided by the embodiment of the present application.

[0018] Figure 2 Schematic structural diagram of the system for efficient signal transmission of the integrated microwave transmission device provided by the embodiment of the present application.

[0019] Explanation of reference numerals: subcarrier division module 10, transmission quality analysis module 20, two-way equalization analysis module 30, encoding module 40, signal transmission module 50. Detailed implementation manners

[0020] The above description is only an overview of the technical solution of the present application. In order to understand the technical means of the present application more clearly, it can be implemented according to the content of the description. And in order to make the above and other purposes, features and advantages of the present application more obvious and understandable, the following specifically gives the detailed implementation manners of the present application.

[0021] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limitations of the present application. All other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present application.

[0022] In the following description, "some embodiments" are involved, which describe a subset of all possible embodiments. However, it can be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments, and can be combined with each other without conflict. The terms "first\second" involved are only used to distinguish similar objects and do not represent a specific order for the objects. The terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or server including a series of steps or units does not necessarily limit to those steps or units clearly listed, but may include other steps or modules not clearly listed or inherent to these processes, methods, products or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application.

[0023] The embodiment of the present application provides a method for efficient signal transmission of an integrated microwave transmission device, as Figure 1 shown, the method includes:

[0024] Step S100: Obtain the target signal transmission point and K target signal reception points. On the 13 GHz frequency band scanned by the microwave transmission device, use the channel bonding technology of Wi-Fi6 to select the target channel, and use the OFDMA technology to divide the spectrum of the target channel into subcarriers, obtaining K subcarriers, where K is a positive integer.

[0025] Specifically, use the scanning function of the microwave transmission device to identify and record the location of the target signal transmission point and its related information (such as IP address, MAC address, etc.). Similarly, scan and record the locations of the K target signal reception points and their related information. Within the 13 GHz frequency band supported by the microwave transmission device, use the channel bonding technology of Wi-Fi6 (the sixth-generation wireless network technology, which provides higher data transmission rates, lower latency, and better energy efficiency) to select one or more continuous or discontinuous channels as the target channel according to factors such as channel state information (CSI), interference situation, signal strength, etc. The channel bonding technology allows multiple smaller channels to be combined into a wider channel to improve the data transmission rate. Within the selected target channel, use the orthogonal frequency division multiple access (OFDMA) technology to divide the spectrum of the channel into K subcarriers. The OFDMA technology allows multiple data streams to be transmitted in parallel within a single channel, and each data stream occupies one subcarrier. The subcarrier division is determined based on the bandwidth of the channel and the required data transmission rate to ensure that each subcarrier can effectively utilize the channel resources. Among them, each subcarrier corresponds to a target signal reception point.

[0026] In a possible implementation manner, step S100 further includes step S110. The microwave transmission device includes an outdoor antenna feeder unit and an indoor host unit. Among them, the indoor host unit is used to modulate the intermediate frequency signal and transmit it to the antenna feeder unit, and the antenna feeder unit is used to convert the intermediate frequency signal into a radio frequency signal for transmission.

[0027] Specifically, the indoor host unit (IDU) is the part of the integrated microwave transmission device responsible for signal processing and control, located indoors and connected to the data source and the outdoor antenna feeder unit (ODU). The ODU is the part of the integrated microwave transmission device responsible for signal transmission and reception, located outdoors and includes components such as antennas and upconverters.

[0028] The IDU first receives digital signals from data sources (which can be computers, network devices, etc.). These digital signals are processed within the IDU through encoding, modulation, etc., and are converted into intermediate-frequency analog signals. The modulation process includes mapping the digital bit stream to specific modulation symbols (such as QPSK, 16-QAM, etc.), and adjusting the frequency, phase, or amplitude of the signal to meet the transmission requirements. The modulated intermediate-frequency signal is transmitted from the IDU to the connected ODU through a cable or other transmission medium. Among them, the intermediate-frequency signal is a signal located in the intermediate-frequency band, between the low-frequency baseband signal and the high-frequency radio-frequency signal, and is used for transmission between the IDU and the ODU.

[0029] After receiving the intermediate-frequency signal from the IDU, the ODU uses an up-converter to convert the intermediate-frequency signal into a radio-frequency signal. The frequency of the radio-frequency signal is in the microwave band (such as 13 GHz), which is suitable for long-distance wireless transmission. The converted radio-frequency signal is transmitted into the air through an antenna, forming an electromagnetic wave, and propagates towards the target signal receiving point. This implementation method, through the cooperation of the IDU and the ODU, can convert the digital signal from the data source into a radio-frequency signal suitable for wireless transmission and transmit it to the target receiving point through the antenna. This design of division of labor and cooperation not only improves the signal transmission efficiency but also enables the device to flexibly adapt to different transmission environments and requirements.

[0030] In a possible implementation, on the 13 GHz band scanned by the microwave transmission device, the Wi-Fi6 channel bonding technology is used to select the target channel. Step S100 further includes step S120, where the microwave transmission device performs channel scanning to obtain the bandwidths of multiple available sub-bands on the 13 GHz band. Specifically, after the microwave transmission device is started, its built-in channel scanning module starts to work. This module gradually scans each potential sub-band within the 13 GHz band by adjusting the frequency of the receiver. During the scanning process, the device records the start frequency, end frequency, and calculated bandwidth information of each sub-band. Among them, channel scanning refers to the process by which the device automatically searches for and identifies available wireless channels. A sub-band is a smaller frequency band unit divided according to frequency within a given band. The sub-band bandwidth is the width of the frequency range of the sub-band, measured in hertz (Hz) or gigahertz (GHz).

[0031] Step S130, using a spectrum analyzer to analyze the signal characteristics of multiple sub-frequency bands to obtain multiple sub-frequency band signal feature sets. Specifically, the spectrum analyzer is a device specifically used to analyze the signal spectrum. The microwave transmission device connects the spectrum analyzer to the output end of the channel scanning module. The spectrum analyzer receives the sub-frequency band signal from the channel scanning module and analyzes the signal strength, frequency distribution, signal peak and other characteristics of each sub-frequency band. After the analysis is completed, the spectrum analyzer organizes these feature data into a signal feature set and outputs it to the processing unit of the device.

[0032] Step S140, performing interference analysis on the plurality of sub-band signal feature sets to obtain a plurality of sub-band interference factors. Specifically, after receiving the signal feature set from the spectrum analyzer, the processing unit of the device starts to perform interference analysis. The interference analysis module evaluates the degree of interference to each sub-band based on the information in the signal feature set by comparing the signal strength with the preset interference threshold and analyzing the changes in the frequency distribution and signal peak. Based on the interference analysis results, the processing unit calculates an interference factor for each sub-band, which reflects the degree of interference to the sub-band.

[0033] Step S150, based on the bandwidths of the multiple sub-bands and the interference factors of the multiple sub-bands, the target channel is determined using the channel binding technology. Specifically, after obtaining the bandwidths and interference factors of the multiple sub-bands, the decision module of the device starts to execute the channel binding decision. Channel binding technology is a technology that combines multiple continuous or non-connected sub-bands into a wider channel. The decision module selects the sub-band combination with the widest bandwidth and the least interference as the target channel based on a comprehensive consideration of bandwidth and interference factors. The target channel is a channel for data transmission determined after the channel binding decision. In this implementation method, through channel scanning and spectrum analysis, the device can obtain the bandwidth and signal characteristic information of each sub-band in the frequency band. By comprehensively considering the bandwidth and interference factors, the device can select a channel that meets the bandwidth requirements and has good transmission quality, thereby improving the efficiency and reliability of data transmission.

[0034] Step S200, traversing the K subcarriers to perform transmission quality analysis and obtain transmission quality factors of the K subcarriers.

[0035] Specifically, for each subcarrier, the transmission quality is evaluated using signal quality measurement techniques such as signal-to-noise ratio (SNR), bit error rate (BER), etc. All K subcarriers are traversed, and the transmission quality factor of each subcarrier is collected and recorded for the selection of modulation mode and coding redundancy.

[0036] In a possible implementation, traverse the K subcarriers for transmission quality analysis to obtain the transmission quality factors of the K subcarriers. Step S200 further includes step S210 of obtaining the subcarrier signal transmission characteristics of the K subcarriers within a preset monitoring window to obtain a sequence of K subcarrier signal transmission characteristics. Specifically, within the set monitoring time period (i.e., the preset monitoring window), use the monitoring function of the microwave transmission device to continuously collect the signal transmission characteristics of each subcarrier. The subcarrier signal transmission characteristics refer to the characteristics exhibited by each subcarrier during the transmission process, and these characteristics include signal strength, signal-to-noise ratio, bit error rate, etc., which reflect the quality of signal transmission. For each subcarrier, arrange all its eigenvalue within the monitoring window in chronological order to form a characteristic sequence.

[0037] Step S220: Perform characteristic iterative analysis on the sequence of K subcarrier signal transmission characteristics to determine the iterative transmission characteristics of the K subcarrier signals. Specifically, for the characteristic sequence of each subcarrier, apply the characteristic iterative analysis algorithm. Through multiple iterative processes, extract the key characteristics that can reflect the signal transmission quality to form the iterative transmission characteristics. Through characteristic iterative analysis, remove noise and interference, extract the characteristic information useful for transmission quality evaluation, and improve the accuracy of the analysis.

[0038] Step S230: Use the transmission quality factor function to analyze the iterative transmission characteristics of the K subcarrier signals respectively to obtain the transmission quality factors of the K subcarriers. Specifically, the transmission quality factor function is a mathematical function used to calculate the transmission quality factor according to the signal transmission characteristics of the subcarriers. This factor is a quantization index used to measure the quality of signal transmission. According to the preset transmission quality factor function, analyze the iterative transmission characteristics of each subcarrier. Through mathematical operations, obtain a quantization index, that is, the transmission quality factor. For each subcarrier, calculate a corresponding transmission quality factor. This implementation extracts the key information useful for transmission quality evaluation and obtains a quantization index to measure the transmission quality of each subcarrier by continuously collecting eigenvalue, performing characteristic iterative analysis, and applying the transmission quality factor function, providing reliable data support for subsequent selection of appropriate modulation methods and coding redundancy according to the transmission quality, helping to optimize the efficiency of signal transmission and improve the performance of the integrated microwave transmission device.

[0039] In a possible implementation, step S230 further includes step S231, and the transmission quality factor function is:

[0040] ;

[0041] Wherein, is the transmission quality factor of the Kth subcarrier, is the weight coefficient of the signal-to-noise ratio, is the weight coefficient of the bit error rate, is the weight coefficient of the interference intensity, is the weight coefficient of the path loss, is the signal-to-noise ratio of the K-th subcarrier, is the bit error rate of the K-th subcarrier, is the interference intensity of the K-th subcarrier, is the path loss of the K-th subcarrier.

[0042] Specifically, the transmission quality factor function synthesizes multiple factors affecting transmission quality, including signal-to-noise ratio (SNR), bit error rate (BER), interference intensity, and path loss. Among them, , and are the weight coefficients of signal-to-noise ratio, bit error rate, interference intensity, and path loss respectively, used to adjust the influence degree of each factor on the transmission quality factor. The signal-to-noise ratio refers to the ratio of signal power to noise power. The higher the signal-to-noise ratio, the better the signal quality. Therefore, the signal-to-noise ratio has a positive contribution to the transmission quality factor, is positive. The bit error rate is the ratio of the number of error bits to the total number of bits during transmission. The lower the bit error rate, the higher the accuracy of data transmission. Therefore, the bit error rate has a negative contribution to the transmission quality factor is negative. The lower the interference intensity, the less interference the signal receives. Therefore, the interference intensity has a negative contribution to the transmission quality factor, is negative. The lower the path loss, the less attenuation the signal undergoes during transmission. Therefore, the path loss has a negative contribution to the transmission quality factor, is negative.

[0043] In a possible implementation, perform feature iterative analysis on the transmission feature sequences of the K subcarrier signals to determine the iterative transmission features of the K subcarrier signals. Step S220 further includes step S221. In chronological order, perform feature iterative analysis on the K first subcarrier signal transmission features and the K second subcarrier signal transmission features in the transmission feature sequences of the K subcarrier signals to obtain K first interactive subcarrier signal transmission features. Specifically, take out the K first subcarrier signal transmission features and the K second subcarrier signal transmission features from the subcarrier signal transmission feature sequences. The first subcarrier signal transmission features and the second subcarrier signal transmission features are subcarrier signal features arranged in chronological order in the subcarrier signal transmission feature sequences, and they represent signal characteristics in different time periods. Perform iterative analysis on each pair of the first subcarrier signal transmission features and the second subcarrier signal transmission features. The iterative analysis can include operations such as signal addition, multiplication, filtering, and transformation to extract the interaction information between them. For each subcarrier, a first interactive subcarrier signal transmission feature is obtained.

[0044] Step S222: Perform feature iterative analysis on the K first interactive sub - carrier signal transmission characteristics and the K third sub - carrier signal transmission characteristics in the K - sub - carrier signal transmission characteristic sequence to obtain K second interactive sub - carrier signal transmission characteristics. Specifically, similar to step S221, after obtaining the first interactive sub - carrier signal transmission characteristics, further iterative analysis is performed on them and the third sub - carrier signal transmission characteristics. This can also include operations such as signal addition, multiplication, and filtering. For each sub - carrier, a second interactive sub - carrier signal transmission characteristic is obtained.

[0045] Step S223: And so on, perform feature iterative analysis on the remaining sub - carrier signal transmission characteristics in the K - sub - carrier signal transmission characteristic sequence based on the K second interactive sub - carrier signal transmission characteristics to obtain the K - sub - carrier signal iterative transmission characteristics. Specifically, after obtaining the second interactive sub - carrier signal transmission characteristics, continue with a similar iterative analysis method, and perform iterative processing on them and the remaining sub - carrier signal transmission characteristics until all sub - carrier signal transmission characteristics are processed. For each sub - carrier, a final iterative transmission characteristic is obtained. This implementation method, through the interactive processing of different sub - carrier signal transmission characteristics, obtains new signal characteristics. These characteristics contain certain associations or interactive information between the original characteristics, and can gradually extract deeper - level signal characteristics, providing more reliable data support for subsequent transmission quality analysis and the selection of modulation methods and coding redundancy.

[0046] In a possible implementation, in chronological order, perform feature iterative analysis on the K first sub - carrier signal transmission characteristics and the K second sub - carrier signal transmission characteristics in the K - sub - carrier signal transmission characteristic sequence to obtain K first interactive sub - carrier signal transmission characteristics. Step S221 further includes step S2211: Use the cosine similarity calculation formula to calculate the feature similarities between the K first sub - carrier signal transmission characteristics and the K second sub - carrier signal transmission characteristics respectively to obtain a set of K first interactive feature similarities. Specifically, for each pair of the first sub - carrier signal transmission characteristics and the second sub - carrier signal transmission characteristics, consider them as two vectors. Then, use a mathematical operation library (such as NumPy) and use the cosine similarity calculation formula to calculate the similarity between these two vectors. The calculation formula is: similarity = , where and represent two feature vectors respectively, represents the dot product, represents the norm of the vector. For each sub - carrier, form a set of the calculated similarity values, that is, the first interactive feature similarity set.

[0047] Step S2212, use the softmax formula to normalize the K sets of first interaction feature similarities, and fill the processed data into K initially empty matrices to obtain K first interaction matrices. Specifically, for each similarity value in the set of first interaction feature similarities, use the softmax function in a deep learning framework (such as TensorFlow or PyTorch) for normalization. The softmax formula can convert the input values into a probability distribution such that the sum of all output values is 1. Fill the processed similarity values into the K initially empty matrices. Each matrix corresponds to the normalization result of the set of first interaction features of a subcarrier.

[0048] Step S2213, use a convolutional network to perform mapping calculations on the K second subcarrier signal transmission features and the K first interaction matrices respectively to obtain K first interaction subcarrier signal transmission features. Specifically, use a deep learning framework to construct a convolutional network model that can accept the second subcarrier signal transmission features and the first interaction matrices as inputs. Then, input the K second subcarrier signal transmission features and the K first interaction matrices into the convolutional network respectively for mapping calculations. The convolutional network can automatically extract the local features of the input data and map these features into a new feature space. Through the mapping calculations of the convolutional network, K first interaction subcarrier signal transmission features are obtained. This implementation method measures the similarity degree between different subcarrier signal transmission features by calculating feature similarities, providing a basis for subsequent feature iterative analysis. Using the softmax formula to normalize the similarity values makes the processed similarity values easier to use in mapping calculations. At the same time, fill the processed data into the matrices to provide a suitable data format for the input of the convolutional network. Use the convolutional network to perform mapping calculations on the input data, automatically extract the local features of the input data, and map these features into a new feature space. Through this operation, new interaction subcarrier signal transmission features can be obtained, and these features contain the deep association information or patterns between the original features, realizing the deep iterative analysis of the subcarrier signal transmission features.

[0049] Step S300, based on the magnitudes of the K subcarrier transmission quality factors, perform a two-way equilibrium analysis of modulation mode and coding redundancy to determine K modulation modes and K coding redundancies.

[0050] Specifically, according to the transmission quality factor of each subcarrier, an appropriate modulation method (such as QPSK, 16-QAM, 64-QAM, etc.) and coding redundancy (such as convolutional code, Turbo code, LDPC code, etc.) are selected. Among them, the selection of the modulation method is based on the transmission quality factor to optimize the balance between the data transmission rate and reliability. Higher transmission quality allows the use of higher-order modulation methods (such as 64-QAM) to increase the data transmission rate; lower transmission quality requires the use of lower-order modulation methods (such as QPSK) to ensure the reliability of data transmission. The selection of coding redundancy is based on the transmission quality factor to optimize the balance between the data recovery ability and the redundancy overhead. Higher transmission quality allows the use of lower coding redundancy to reduce the redundancy overhead; lower transmission quality requires the use of higher coding redundancy to improve the data recovery ability.

[0051] In a possible implementation, a two-way equalization analysis of the modulation method and coding redundancy is performed based on the magnitudes of the K subcarrier transmission quality factors to determine K modulation methods and K coding redundancies. Step S300 further includes step S310 of identifying the K subcarrier transmission quality factors using a two-way equalization analysis channel to obtain K modulation method-coding redundancy combinations. Specifically, the two-way equalization analysis channel is a comprehensive analysis module that preliminarily matches the modulation method and coding redundancy according to the subcarrier transmission quality factor. Specifically, the two-way equalization analysis channel combines the bit error performance of different modulation methods (such as QPSK, 16-QAM, 64-QAM, etc.) under a given quality factor and the error correction capabilities of different coding redundancies (such as convolutional code, Turbo code, LDPC code, etc.) to select a modulation method-coding redundancy combination that can maintain a low bit error rate under the current quality factor and effectively utilize the spectrum resources. This channel analyzes the transmission quality factor of each subcarrier and assigns an optimal modulation method-coding redundancy combination to each subcarrier according to a built-in mapping table or algorithm. Among them, the modulation method refers to the way of converting digital signals into analog signals, and different modulation methods have different spectral efficiencies and bit error performances. Coding redundancy refers to the redundant information deliberately added to digital signals to improve the reliability of data transmission, that is, the ability to correct errors or retransmit in case of bit errors.

[0052] Step S320, perform multiple random adjustments on the K modulation scheme - coding redundancy combinations according to a preset adjustment method to obtain K sets of adjusted modulation scheme - coding redundancy combinations, where the preset adjustment method is to adjust the order of the modulation scheme and / or the minimum distance of the coding redundancy according to a preset amplitude. Specifically, the preset adjustment method includes adjusting the order of the modulation scheme (such as adjusting from QPSK to 16 - QAM) and / or adjusting the minimum distance of the coding redundancy (such as increasing or decreasing the number of redundant bits). In order to explore better combinations, the system will perform multiple random fine - tunings on the modulation scheme - coding redundancy combinations of each sub - carrier. Each adjustment may lead to a small change in performance. Through multiple random adjustments, the system generates a set containing multiple adjusted modulation scheme - coding redundancy combinations for subsequent analysis and selection.

[0053] Step S330, perform equilibrium recognition on the K sets of adjusted modulation scheme - coding redundancy combinations to obtain K sets of equilibrium fitness values. Specifically, evaluate the performance of each adjusted combination, including comprehensive consideration of indicators such as bit error rate, throughput, and spectral efficiency. Based on the above performance indicators, calculate a fitness value for each combination, which reflects the quality of the combination in the current transmission environment. Through equilibrium recognition, the system generates K sets containing equilibrium fitness values for subsequent combination selection and directional adjustment.

[0054] Step S340, based on the magnitudes of the K sets of equilibrium fitness values, split the K sets of adjusted modulation scheme - coding redundancy combinations into leading combinations and following combinations to obtain K leading combinations and K sets of following combinations. Specifically, in the set of equilibrium fitness values, the combination with the highest fitness value is regarded as the leading combination, which represents the excellent solutions in the current search space. The combinations with the remaining fitness values are regarded as following combinations, which need further adjustment and optimization. The system splits the set of adjusted combinations into leading combination and following combination sets according to the magnitudes of the fitness values.

[0055] Step S350: Perform a directional adjustment analysis on the K leading combinations and the set of K following combinations to obtain K target combinations, and obtain the K modulation methods and K coding redundancies based on the K target combinations. Specifically, provide an adjustment direction for the following combinations according to the performance differences between the leading combinations and the following combinations. Specifically, the system analyzes the advantageous features of the leading combinations (such as high throughput, low bit error rate, etc.), and attempts to apply these features to the following combinations, including adjusting the order of the modulation method, changing the type or quantity of the coding redundancy, etc., to improve their performance. After the adjustment is completed, the system performs a new equilibrium recognition on each following combination, that is, recalculates its fitness value, evaluates whether the adjustment is effective, and whether the adjusted combination is closer to the optimal solution. Based on the adjusted equilibrium recognition results, the system selects the combination with the highest fitness value as the target combination. These target combinations represent the modulation method - coding redundancy combinations with the optimal performance in the current search space. Finally, the system determines the final modulation method and coding redundancy of each subcarrier according to the target combination, ensuring that the signal can achieve efficient and reliable transmission under the given transmission quality factor. This implementation method gradually approaches the optimal solution through steps such as two-way equilibrium analysis, random adjustment, equilibrium recognition, leading - following segmentation, and directional adjustment analysis. This method not only considers the actual situation of the current transmission environment but also utilizes the ideas of random search and heuristic optimization, and can achieve high transmission efficiency and reliability in a complex and changing communication environment.

[0056] In a possible implementation, step S300 further includes step S360: Determine whether all of the K equilibrium fitness sets are less than or equal to a preset fitness threshold. If so, add the set of K adjusted modulation method - coding redundancy combinations to an adjustment exclusion taboo table, where the adjustment exclusion taboo table includes a preset taboo count.

[0057] Specifically, according to historical data and experience, a preset fitness threshold is set, which represents the lowest fitness level that the system considers acceptable. Each fitness value in the K equilibrium fitness sets is compared one by one with the preset fitness threshold. If all the fitness values in the K equilibrium fitness sets are less than or equal to the preset fitness threshold, then it is considered that the current adjustment results are not ideal and the expected optimization effect has not been achieved. When the above judgment condition is met, the current set of K adjustment debugging method - coding redundancy combinations is added to a data structure called the "adjustment exclusion taboo table". This table is used to record those adjustment combinations that have been tried but have poor effects, so as to avoid repeating these combinations in subsequent search processes. The preset taboo count refers to the number of search iterations that an adjustment combination needs to remain taboo (i.e., not be retried) after being added to the taboo table. Specifically, when an adjustment combination is added to the adjustment exclusion taboo table, it will carry a taboo label and mark the remaining taboo count. In the subsequent search iterations, the system will check this taboo label and the remaining taboo count. If a certain adjustment combination is still within the taboo period (i.e., the remaining taboo count is greater than 0), then the system will not try this combination. After each search iteration ends, the system will reduce the taboo count of all combinations within the taboo period (if the taboo count is reduced to 0, then this combination is removed from the taboo table and can be retried). This implementation method is used to avoid repeating the adjustment combinations that have been proven to have poor effects in subsequent search processes. By adding these combinations to the adjustment exclusion taboo table, the system can automatically exclude these combinations in subsequent searches, thereby improving the search efficiency and optimization effect.

[0058] Step S400, according to the K modulation methods and K coding redundancies, use Wi-Fi6 to modulate and transmit data encoding for the K subcarriers respectively, and obtain K modulated subcarriers and K coding redundancy transmitted data.

[0059] Specifically, according to the determined modulation method and coding redundancy, use Wi-Fi6 to modulate each subcarrier, and convert the original data into a signal form suitable for transmission. At the same time, encode the data on each subcarrier, add necessary redundant information, so that potential transmission errors can be detected and corrected at the receiving end. After modulation and encoding, each subcarrier contains a modulated subcarrier and a coding redundancy transmitted data.

[0060] Step S500, based on the K modulated subcarriers, perform signal transmission of the K coding redundancy transmitted data between the target signal sending point and the K target signal receiving points.

[0061] Specifically, a microwave transmission device is used to simultaneously or sequentially transmit K modulated subcarriers that have been modulated and encoded to K target signal receiving points. The receiving points use corresponding demodulation techniques and decoding algorithms to recover the original data, and at the same time utilize coding redundancy to detect and correct any potential transmission errors. In the embodiment of the present application, in the 13 GHz frequency band, the Wi-Fi6 channel bonding technology is used to select the target channel, and the subcarriers are divided by the OFDMA technology. All subcarriers are traversed to evaluate their transmission quality, and the transmission quality factor is obtained. Based on the transmission quality factor, a two-way equilibrium analysis of the modulation method and coding redundancy is performed to determine the modulation and coding strategies for each subcarrier. According to the determined strategies, the Wi-Fi6 technology is used to modulate and encode the data for the subcarriers, and the encoded redundant transmission data is transmitted from the sending point to each receiving point through the modulated subcarriers and other technical means, achieving the technical effect of improving the signal transmission efficiency and transmission stability.

[0062] In the foregoing, reference is made to Figure 1 A method for efficiently transmitting signals of an integrated microwave transmission device according to an embodiment of the present invention is described in detail. Next, reference will be made to Figure 2 Describe a signal efficient transmission system of an integrated microwave transmission device according to an embodiment of the present invention.

[0063] The signal efficient transmission system of the integrated microwave transmission device according to the embodiment of the present invention is used to solve the technical problems of low transmission efficiency and poor transmission stability existing in the prior art, and achieve the technical effect of improving the signal transmission efficiency and transmission stability. The signal efficient transmission system of the integrated microwave transmission device includes: a subcarrier division module 10, a transmission quality analysis module 20, a two-way equilibrium analysis module 30, an encoding module 40, and a signal transmission module 50.

[0064] The subcarrier division module 10 is configured to obtain a target signal transmission point and K target signal reception points, select a target channel using the channel bonding technology of Wi-Fi6 in the 13GHz frequency band scanned by the microwave transmission device, and perform subcarrier division on the spectrum of the target channel using the OFDMA technology to obtain K subcarriers, where K is a positive integer; the transmission quality analysis module 20 is configured to traverse the K subcarriers to perform transmission quality analysis to obtain K subcarrier transmission quality factors; the two-way equalization analysis module 30 is configured to perform two-way equalization analysis of modulation mode and coding redundancy based on the magnitudes of the K subcarrier transmission quality factors to determine K modulation modes and K coding redundancies; the coding module 40 is configured to modulate and transmit data encoding for the K subcarriers respectively using Wi-Fi6 according to the K modulation modes and K coding redundancies to obtain K modulated subcarriers and K coding redundancy transmission data; the signal transmission module 50 is configured to perform signal transmission of the K coding redundancy transmission data between the target signal transmission point and the K target signal reception points based on the K modulated subcarriers.

[0065] Next, the specific configuration of the two-way equalization analysis module 30 will be described in detail. As described above, two-way equalization analysis of modulation mode and coding redundancy is performed based on the magnitudes of the K subcarrier transmission quality factors to determine K modulation modes and K coding redundancies. The two-way equalization analysis module 30 may further include: a transmission quality factor identification unit configured to identify the K subcarrier transmission quality factors using a two-way equalization analysis channel to obtain K modulation mode - coding redundancy combinations; a random adjustment unit configured to perform multiple random adjustments on the K modulation mode - coding redundancy combinations according to a preset adjustment method to obtain a set of K adjusted modulation mode - coding redundancy combinations, where the preset adjustment method is to adjust the order of the modulation mode and / or the minimum distance of the coding redundancy according to a preset amplitude; an equalization identification unit configured to perform equalization identification on the set of K adjusted modulation mode - coding redundancy combinations to obtain a set of K equalization fitness values; a combination splitting unit configured to split the set of K adjusted modulation mode - coding redundancy combinations into a leading combination and a following combination based on the magnitudes of the set of K equalization fitness values to obtain a set of K leading combinations and a set of K following combinations; a directional adjustment analysis unit configured to perform directional adjustment analysis on the set of K leading combinations and the set of K following combinations to obtain K target combinations, and obtain the K modulation modes and K coding redundancies according to the K target combinations.

[0066] Among them, the two-way equalization analysis module 30 may further include: a judgment unit configured to judge whether the set of K equalization fitness values are all less than or equal to a preset fitness threshold. If so, add the set of K adjusted modulation mode - coding redundancy combinations to an adjustment exclusion taboo table, where the adjustment exclusion taboo table includes a preset taboo number of times.

[0067] Next, the specific configuration of the transmission quality analysis module 20 will be described in detail. As described above, traversing the K subcarriers for transmission quality analysis to obtain K subcarrier transmission quality factors, the transmission quality analysis module 20 may further include: a transmission feature acquisition unit for acquiring the subcarrier signal transmission features of the K subcarriers within a preset monitoring window to obtain a K-subcarrier signal transmission feature sequence; a feature iterative analysis unit for performing feature iterative analysis on the K-subcarrier signal transmission feature sequence to determine the K-subcarrier signal iterative transmission features; and a feature analysis unit for using a transmission quality factor function to analyze the K-subcarrier signal iterative transmission features respectively to obtain the K subcarrier transmission quality factors.

[0068] Among them, the feature analysis unit may further include: a transmission quality factor function construction subunit for constructing a transmission quality factor function, and the transmission quality factor function is: , where is the transmission quality factor of the Kth subcarrier, is the weight coefficient of the signal-to-noise ratio, is the weight coefficient of the bit error rate, is the weight coefficient of the interference intensity, is the weight coefficient of the path loss, is the signal-to-noise ratio of the Kth subcarrier, is the bit error rate of the Kth subcarrier, is the interference intensity of the Kth subcarrier, is the path loss of the Kth subcarrier.

[0069] Among them, for performing feature iterative analysis on the K-subcarrier signal transmission feature sequence to determine the K-subcarrier signal iterative transmission features, the feature iterative analysis unit may further include: a first interactive subcarrier signal transmission feature acquisition subunit for performing feature iterative analysis on the K first subcarrier signal transmission features and the K second subcarrier signal transmission features in the K-subcarrier signal transmission feature sequence in chronological order to obtain K first interactive subcarrier signal transmission features; a second interactive subcarrier signal transmission feature acquisition subunit for performing feature iterative analysis on the K first interactive subcarrier signal transmission features and the K third subcarrier signal transmission features in the K-subcarrier signal transmission feature sequence to obtain K second interactive subcarrier signal transmission features; and a subcarrier signal iterative transmission feature acquisition subunit for, by analogy, performing feature iterative analysis on the remaining subcarrier signal transmission features in the K-subcarrier signal transmission feature sequence based on the K second interactive subcarrier signal transmission features to obtain the K-subcarrier signal iterative transmission features.

[0070] Among them, in chronological order, a feature iterative analysis is performed on the K first sub-carrier signal transmission characteristics and the K second sub-carrier signal transmission characteristics in the K sub-carrier signal transmission characteristic sequences to obtain K first interactive sub-carrier signal transmission characteristics. The first interactive sub-carrier signal transmission characteristic acquisition sub-unit may further include: a feature similarity calculation component for respectively calculating the feature similarities between the K first sub-carrier signal transmission characteristics and the K second sub-carrier signal transmission characteristics by using the cosine similarity calculation formula to obtain a set of K first interactive feature similarities; a normalization processing component for performing normalization processing on the set of K first interactive feature similarities by using the softmax formula and filling the processed data into K initially empty matrices to obtain K first interactive matrices; a mapping calculation component for respectively performing mapping calculations on the K second sub-carrier signal transmission characteristics and the K first interactive matrices by using a convolutional network to obtain K first interactive sub-carrier signal transmission characteristics.

[0071] Next, the specific configuration of the sub-carrier division module 10 will be described in detail. As described above, in the 13 GHz frequency band scanned by the microwave transmission device, the channel binding technology of Wi-Fi6 is used to select the target channel. The sub-carrier division module 10 may further include: a channel scanning unit for the microwave transmission device to perform channel scanning to obtain the sub-bandwidths of multiple available sub-bands in the 13 GHz frequency band; a signal feature analysis unit for analyzing the signal features of the multiple sub-bands by using a spectrum analyzer to obtain a set of multiple sub-band signal features; an interference analysis unit for performing interference analysis on the set of multiple sub-band signal features to obtain multiple sub-band interference factors; a target channel determination unit for determining the target channel based on the multiple sub-bandwidths and the multiple sub-band interference factors by using the channel binding technology.

[0072] Among them, the sub-carrier division module 10 may further include: a microwave transmission device building unit for building a microwave transmission device, where the microwave transmission device includes an outdoor antenna unit and an indoor host unit. Among them, the indoor host unit is used to modulate the intermediate frequency signal and transmit it to the antenna unit, and the antenna unit is used to convert the intermediate frequency signal into a radio frequency signal for transmission.

[0073] The signal efficient transmission system of the integrated microwave transmission device provided by the embodiments of the present invention can execute the signal efficient transmission method of the integrated microwave transmission device provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects for executing the method.

[0074] Although various references are made to certain modules in the system according to embodiments of the present application, however, any number of different modules can be used and run on the user terminal and / or the server. The various units and modules included are only divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be achieved. In addition, the specific names of the functional units are only for the convenience of mutual distinction and do not limit the protection scope of the present invention.

[0075] The above specific embodiments do not constitute a limitation on the protection scope of the present application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principle of the present application shall be included within the protection scope of the present application. In some cases, the actions or steps recited in the present application can be executed in a different order than in the embodiments and still achieve the desired results. Additionally, the processes depicted in the drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A method for efficiently transmitting signals using an integrated microwave transmission device, characterized in that: The method comprises: Obtain the target signal sending point and K target signal receiving points. On the 13 GHz frequency band scanned by the microwave transmission equipment, use Wi-Fi 6's channel bonding technology to select the target channel, and use OFDMA technology to divide the spectrum of the target channel into subcarriers to obtain K subcarriers, where K is a positive integer. Traversing the K subcarriers to perform transmission quality analysis to obtain transmission quality factors of the K subcarriers; Performing a dual-item equalization analysis of modulation mode and coding redundancy based on the magnitudes of the K subcarrier transmission quality factors to determine K modulation modes and K coding redundancies; According to the K modulation modes and K coding redundancies, Wi-Fi 6 is used to modulate and encode the K subcarriers respectively to obtain K modulated subcarriers and K coding redundancy transmission data; Perform signal transmission of K coded redundant transmission data between a target signal sending point and K target signal receiving points based on the K modulated subcarriers; The performing a dual-item equalization analysis of modulation mode and coding redundancy based on the size of the K subcarrier transmission quality factors to determine K modulation modes and K coding redundancies includes: Using a dual-term equalization analysis channel to identify the K subcarrier transmission quality factors, and obtain K modulation mode-coding redundancy combinations; The K modulation mode-coding redundancy combinations are randomly adjusted multiple times according to a preset adjustment method to obtain K adjusted modulation mode-coding redundancy combination sets, wherein the preset adjustment method is to adjust the order of the modulation mode and / or adjust the minimum distance of the coding redundancy according to a preset amplitude; Performing equalization identification on the K adjusted modulation mode-coded redundancy combination sets to obtain K equalization fitness sets; Based on the sizes of the K equalization fitness sets, the K adjusted modulation mode-coding redundancy combination sets are divided into leading combinations and following combinations to obtain K leading combinations and K following combination sets; Performing directional adjustment analysis on the K leading combinations and the K following combination sets to obtain K target combinations, and obtaining the K modulation modes and K coding redundancies according to the K target combinations; The dual-item equalization analysis channel is a comprehensive analysis module that performs preliminary matching of modulation mode and coding redundancy according to the subcarrier transmission quality factor, including: The dual-term equalization analysis channel combines the bit error performance of different modulation modes under a given quality factor and the error correction capability of different coding redundancies to select a modulation mode and coding redundancy combination that can maintain a low bit error rate under the current quality factor and effectively utilize spectrum resources; The dual-term equalization analysis channel analyzes the transmission quality factor of each subcarrier and allocates an optimal modulation mode-coding redundancy combination to each subcarrier according to a built-in mapping table or algorithm.

2. The method for efficient signal transmission of integrated microwave transmission equipment according to claim 1, characterized in that: Determine whether the K equalization fitness sets are all less than or equal to a preset fitness threshold. If so, add the K adjustment modulation mode-coding redundancy combination sets into an adjustment exclusion taboo table, wherein the adjustment exclusion taboo table includes a preset taboo number.

3. The method for efficient signal transmission of integrated microwave transmission equipment according to claim 1, characterized in that: Traversing the K subcarriers to perform transmission quality analysis to obtain K subcarrier transmission quality factors, including: Acquire subcarrier signal transmission characteristics of K subcarriers within a preset monitoring window to obtain a sequence of K subcarrier signal transmission characteristics; Performing feature iterative analysis on the K subcarrier signal transmission feature sequences to determine the iterative transmission features of the K subcarrier signals; The transmission quality factor function is used to analyze the iterative transmission characteristics of the K subcarrier signals respectively to obtain the transmission quality factors of the K subcarriers.

4. The method for efficient signal transmission of integrated microwave transmission equipment according to claim 3, characterized in that: The transmission quality factor function is: ; in, is the transmission quality factor of the Kth subcarrier, is the weight coefficient of the signal-to-noise ratio, is the weight coefficient of the bit error rate, is the weight coefficient of interference intensity, is the weight coefficient of path loss, is the signal-to-noise ratio of the Kth subcarrier, is the bit error rate of the Kth subcarrier, is the interference intensity of the Kth subcarrier, is the path loss of the Kth subcarrier.

5. The method for efficient signal transmission of integrated microwave transmission equipment according to claim 3, characterized in that: Performing feature iterative analysis on the K subcarrier signal transmission feature sequences to determine the iterative transmission features of the K subcarrier signals includes: Performing feature iterative analysis on the K first subcarrier signal transmission features and the K second subcarrier signal transmission features in the K subcarrier signal transmission feature sequences in chronological order to obtain K first interactive subcarrier signal transmission features; Performing feature iterative analysis on K first interactive subcarrier signal transmission features and K third subcarrier signal transmission features in the K subcarrier signal transmission feature sequence to obtain K second interactive subcarrier signal transmission features; By analogy, feature iterative analysis is performed on the remaining subcarrier signal transmission features in the K subcarrier signal transmission feature sequence based on the K second interactive subcarrier signal transmission features to obtain the K subcarrier signal iterative transmission features.

6. The method for efficient signal transmission of integrated microwave transmission equipment according to claim 5, characterized in that: Performing feature iterative analysis on K first subcarrier signal transmission features and K second subcarrier signal transmission features in the K subcarrier signal transmission feature sequences in chronological order to obtain K first interactive subcarrier signal transmission features, including: Using a cosine similarity calculation formula, respectively calculate the feature similarities of the K first subcarrier signal transmission features and the K second subcarrier signal transmission features to obtain K first interactive feature similarity sets; The K first interaction feature similarity sets are normalized using the softmax formula, and the processed data are filled into the K matrices that are initially empty to obtain K first interaction matrices; A convolutional network is used to map and calculate the K second subcarrier signal transmission characteristics and the K first interaction matrices respectively to obtain the K first interaction subcarrier signal transmission characteristics.

7. The method for efficient signal transmission of integrated microwave transmission equipment according to claim 1, characterized in that: When the microwave transmission device scans the 13 GHz frequency band, use Wi-Fi 6 channel bonding technology to select the target channel, including: The microwave transmission device performs channel scanning to obtain multiple sub-band bandwidths of multiple available sub-bands on the 13 GHz frequency band; Analyzing the signal characteristics of the multiple sub-frequency bands using a spectrum analyzer to obtain a set of signal characteristics of the multiple sub-frequency bands; Performing interference analysis on the plurality of sub-frequency band signal feature sets to obtain a plurality of sub-frequency band interference factors; Based on the multiple sub-band bandwidths and the multiple sub-band interference factors, a target channel is determined using a channel bonding technology.

8. The method for efficient signal transmission of integrated microwave transmission equipment according to claim 1, characterized in that: The microwave transmission equipment includes an outdoor antenna unit and an indoor host unit, wherein the indoor host unit is used to modulate the intermediate frequency signal and transmit it to the antenna unit, and the antenna unit is used to convert the intermediate frequency signal into a radio frequency signal for transmission.

9. The signal efficient transmission system of the integrated microwave transmission equipment is characterized by: The system is used to implement the signal efficient transmission method of the integrated microwave transmission equipment according to any one of claims 1 to 8, and the system comprises: The subcarrier division module is used to obtain the target signal sending point and K target signal receiving points. On the 13GHz frequency band scanned by the microwave transmission equipment, the Wi-Fi 6 channel bonding technology is used to select the target channel, and the OFDMA technology is used to divide the spectrum of the target channel into subcarriers to obtain K subcarriers, where K is a positive integer. A transmission quality analysis module, used to traverse the K subcarriers to perform transmission quality analysis and obtain transmission quality factors of the K subcarriers; A dual-item equalization analysis module, used to perform dual-item equalization analysis of modulation mode and coding redundancy based on the size of the K subcarrier transmission quality factors, and determine K modulation modes and K coding redundancies; A coding module, used to modulate and encode the K subcarriers according to the K modulation modes and the K coding redundancies, respectively, using Wi-Fi 6 to obtain K modulated subcarriers and K coding redundancy transmission data; A signal transmission module is used to perform signal transmission of K coded redundant transmission data between a target signal sending point and K target signal receiving points based on the K modulated subcarriers.

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