Message sending verification measurement method

Abstract

The invention discloses a message sending verification measurement method, and relates to the technical field of wireless telemetry information transmission. According to the message sending verification measurement method, the integrity and consistency of the message are ensured through check code calculation and block chain storage, the integrity and consistency of the information are ensured through calculation and matching of the check codes at the information sending end and the information receiving end of the wireless telemetry system, the security of information transmission is improved, and the user experience is improved. By acquiring the message sending difference index, judging whether the information is abnormal in the wireless telemetering transmission process and accurately judging the abnormity in the information transmission process, efficient management and maintenance of remote equipment are facilitated, meanwhile, data loss can be effectively reduced through timely detection and response, the robustness and the anti-risk capability of the system are improved, and the reliability of the system is improved. And the quality index of the transmission channel is evaluated and the transmission parameters are dynamically adjusted, so that a powerful technical guarantee is provided for the wireless telemetering system in the information sending process in a complex environment.

Description

Technical Field

[0001] This invention relates to the field of wireless telemetry information transmission technology, specifically a message sending verification measurement method. Background Technology

[0002] With the continuous advancement of technology, wireless communication technology has been widely applied in modern society. Wireless telemetry, as one of the important application areas of wireless communication, plays a vital role in industry, agriculture, environmental monitoring, and scientific research. To ensure the reliability and accuracy of these systems, the research and application of message transmission verification measurement methods have become particularly crucial.

[0003] Meanwhile, with the development of modern technology, wireless telemetry systems collect data through sensors and transmit it to the receiving end via wireless communication for real-time monitoring and decision-making. However, during information transmission, environmental interference and signal attenuation can lead to data loss or errors. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a message sending verification measurement method, which solves the problems mentioned in the background.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a message transmission verification measurement method, comprising the following steps: S1. Verifying the integrity of the message generated by the wireless telemetry system transmitter, calculating the message checksum, and storing the message and checksum on a blockchain for transmission; S2. Separating the message and checksum received by the wireless telemetry system receiver, recalculating the message checksum, matching it with the checksum stored in the blockchain, analyzing the degree of information difference using a hash algorithm, and obtaining a message transmission difference index; S3. Comparing the message transmission difference index with a set message transmission difference index threshold to determine whether any abnormalities have occurred during the wireless telemetry transmission process; S4. If any abnormalities have occurred during the wireless telemetry transmission process, monitoring the status of the wireless telemetry transmission channel, analyzing the channel gain and fading characteristics through channel status information feedback, evaluating the transmission channel quality index, and dynamically adjusting the transmission parameters.

[0006] Furthermore, to verify the integrity of the message generated by the wireless telemetry system transmitter, the specific process for calculating the message checksum is as follows: The message format, length, and integrity of each field are checked using message verification software; the message is converted into a character array, and the sum of each character in the array is calculated using the American Standard Code for Information Interchange (USSCIE), followed by a modulo operation to obtain the checksum; the hash value of the message is calculated using a hash algorithm, and this hash value is combined with the checksum to form the message checksum.

[0007] Furthermore, the specific process of recalculating the message's checksum and matching it with the checksum stored in the blockchain is as follows: recalculate the message's checksum, access the checksum in the blockchain, compare the checksum recalculated by the wireless telemetry system receiver with the checksum obtained from the blockchain, and obtain the checksum matching index.

[0008] Furthermore, the specific process of analyzing the degree of information difference through a hash algorithm to obtain the message transmission difference index is as follows: the check code recalculated by the wireless telemetry system receiver is compared with the check code obtained from the blockchain to obtain the hash check coefficient; the check code matching index and the hash check coefficient are combined and processed to obtain the message transmission difference index.

[0009] Furthermore, the specific process for determining whether an anomaly occurs during wireless telemetry transmission is as follows: the message transmission difference index is compared with the set message transmission difference index threshold. If the message transmission difference index is higher than the set message transmission difference index threshold, it indicates that an anomaly has occurred during wireless telemetry transmission; if the message transmission difference index is lower than the set message transmission difference index threshold, it indicates that the information is being transmitted wirelessly normally.

[0010] Furthermore, the specific process of evaluating the transmission channel quality index by analyzing channel gain and fading characteristics through channel state information feedback is as follows: Time-domain and frequency-domain analysis is performed on the channel gain information using channel state information feedback to calculate the channel gain coefficient; time-domain and frequency-domain analysis is performed on the channel fading information using channel state information feedback to calculate the channel fading coefficient; and the transmission channel quality index is obtained by comprehensively calculating the channel gain coefficient and the channel fading coefficient.

[0011] Furthermore, the specific process of performing time-domain and frequency-domain analysis on the channel gain information is as follows: acquire channel gain data from the receiver of the wireless telemetry system at multiple time points, calculate time-domain statistical parameters, including the average value and standard deviation, perform Fourier transform on the channel gain data, calculate the channel gain statistical parameters in the frequency domain, and evaluate the channel gain characteristics.

[0012] Furthermore, the specific process of obtaining channel fading information through channel state information feedback for time-domain and frequency-domain analysis is as follows: Channel fading data is obtained from the receiver of the wireless telemetry system at multiple time points, and the parameters in the time and frequency domains are calculated respectively to evaluate the channel fading characteristics.

[0013] Furthermore, the specific process of dynamically adjusting transmission parameters is as follows: By periodically acquiring channel state information and recalculating the channel quality index, the transmission parameters are dynamically adjusted. The transmission parameters include channel conditioner parameters, transmission rate, channel capacity, and channel bandwidth.

[0014] The present invention has the following beneficial effects: (1) This message sending verification measurement method can ensure the integrity and consistency of telemetry data during transmission by calculating and matching check codes at the sending and receiving ends, effectively preventing data loss and tampering, and improving the reliability of telemetry data. By separating the message and check code received by the wireless telemetry system receiver, recalculating the message check code, and matching it with the check code stored in the blockchain, the integrity, security and reliability of data transmission can be significantly improved. At the same time, it enhances the system's anti-interference ability, real-time monitoring ability and scalability, providing strong technical support for remote wireless telemetry systems.

[0015] (2) This message transmission verification measurement method obtains the message transmission difference index and compares it with the set message transmission difference index threshold to determine whether there is an anomaly in the wireless telemetry transmission process. It accurately diagnoses the faults and anomalies in the transmission process, which helps to manage and maintain remote equipment efficiently. At the same time, timely detection and response can effectively reduce data loss, improve the robustness and risk resistance of the system, evaluate the transmission channel quality index and dynamically adjust the transmission parameters, improve the stability, reliability, efficiency and anti-interference ability of information transmission, and provide strong technical support for remote wireless monitoring and control in complex environments.

[0016] Of course, any product implementing this invention does not necessarily need to achieve all of the advantages described above at the same time. Attached Figure Description

[0017] Figure 1 This is a flowchart of a message sending verification measurement method according to the present invention.

[0018] Figure 2 This is a flowchart illustrating the process of evaluating the transmission channel quality index in this invention. Detailed Implementation

[0019] This application embodiment solves the problems of traditional wireless telemetry systems during information transmission, such as information tampering and loss, lack of effective security mechanisms, insufficient real-time response capability, low channel resource utilization, weak anti-interference capability, difficulty in expansion and flexible adjustment, and lack of intelligent management, through a message transmission verification measurement method.

[0020] The problem addressed in this application's embodiments can be summarized as follows: Verify the integrity of the message generated by the wireless telemetry system transmitter, calculate the message checksum, and store the message and checksum on the blockchain before sending.

[0021] The message and checksum received by the wireless telemetry system receiver are separated, the checksum of the message is recalculated, and it is matched with the checksum stored in the blockchain. The degree of information difference is analyzed by hash algorithm to obtain the message sending difference index.

[0022] The message transmission difference index is compared with the set message transmission difference index threshold to determine whether any abnormalities occur during the wireless telemetry transmission process.

[0023] If an anomaly occurs during wireless telemetry transmission, the status of the wireless telemetry transmission channel is monitored. Channel gain and fading characteristics are analyzed through channel status information feedback, the transmission channel quality index is evaluated, and transmission parameters are dynamically adjusted.

[0024] Please see Figure 1 This invention provides a technical solution: a message transmission verification measurement method, comprising the following steps: S1. Verifying the integrity of a message generated by the transmitting end of a wireless telemetry system, calculating the message's checksum, and storing the message and checksum on a blockchain for transmission; S2. Separating the message and checksum received by the receiving end of the wireless telemetry system, recalculating the message's checksum, matching it with the checksum stored in the blockchain, analyzing the degree of information difference using a hash algorithm, and obtaining a message transmission difference index; S3. Comparing the message transmission difference index with a set message transmission difference index threshold to determine whether any abnormalities have occurred during the wireless telemetry transmission process; S4. If any abnormalities have occurred during the wireless telemetry transmission process, monitoring the status of the wireless telemetry transmission channel, analyzing channel gain and fading characteristics through channel status information feedback, evaluating the transmission channel quality index, and dynamically adjusting transmission parameters.

[0025] In this implementation scheme, in step S1, the wireless telemetry system refers to a system that transmits telemetry data via radio waves, typically used for remote monitoring and data acquisition. After generating a message, the sending end immediately calculates the message's checksum. The checksum is used to verify the message's integrity. Storing the message and checksum on a blockchain utilizes the distributed and immutable nature of blockchain technology to ensure the message is not tampered with or lost during transmission. In step S2, a hash algorithm is an algorithm that converts an input of arbitrary length into a fixed-length output, commonly used for verification and security authentication. The degree of information difference is an indicator used to measure the difference between the sent and received messages. The message transmission difference index is an indicator used to quantify the degree of message difference and to assess data integrity during transmission. In step S4, monitoring the channel state involves real-time observation and recording of the transmission channel's operation. Channel state information feedback refers to the state data obtained from the channel, including channel gain and fading characteristics. Channel gain represents the degree of signal enhancement after passing through the channel. Fading characteristics represent the signal strength changes caused by multipath propagation or other factors during transmission. The transmission channel quality index is a comprehensive indicator used to measure channel quality and reflects the channel's transmission performance.

[0026] Dynamically adjusting transmission parameters is used to adjust transmission parameters in real time according to channel conditions to optimize transmission performance. These parameters include transmission rate, channel capacity, and channel bandwidth.

[0027] Specifically, the process of verifying the integrity of messages generated by the wireless telemetry system transmitter and calculating the message checksum is as follows: The message format, length, and integrity of each field are checked by message verification software; the message is converted into a character array, and the sum of each character in the array is calculated using the American Standard Code for Information Interchange (USSCIE), and a modulo operation is performed to obtain the checksum; the hash value of the message is calculated using a hash algorithm, and the hash value is used together with the checksum as the message checksum.

[0028] In this implementation plan, message verification software checks the message's format, length, and the completeness of each field to ensure the message is complete and meets requirements before being sent. The formula for calculating the verification code is as follows: In the formula, This represents the checksum. ASCII represents the ASCII value of the i-th character, SHA represents the hash value of the message content using the SHA-256 hash algorithm, and n represents the total number of characters.

[0029] Specifically, the process of recalculating the message's checksum and matching it with the checksum stored in the blockchain is as follows: recalculate the message's checksum, access the checksum in the blockchain, compare the checksum recalculated by the wireless telemetry system receiver with the checksum obtained from the blockchain, and obtain the checksum matching index.

[0030] In this implementation plan, the formula for calculating the check code matching index is as follows: In the formula, Indicates the checksum matching index. This represents the checksum. This indicates the checksum that is recalculated after being received.

[0031] Specifically, the process of analyzing the degree of information difference and obtaining the message transmission difference index through a hash algorithm is as follows: the check code recalculated by the wireless telemetry system receiver is compared with the check code obtained from the blockchain to obtain the hash check coefficient; the check code matching index and the hash check coefficient are combined and processed to obtain the message transmission difference index.

[0032] In this implementation scheme, the recalculated checksum at the receiving end and the checksum stored in the blockchain are hashed together, and the hash values ​​are compared to obtain the hash verification coefficient. The formula for calculating the hash verification coefficient is as follows: In the formula, SHA represents the hash check factor, indicating the value obtained by applying the SHA-256 hash algorithm to the message content. This indicates that this is the SHA-256 hash value of the checksum stored in the blockchain. This indicates that the maximum of the two hash values ​​is taken. The formula for calculating the message sending difference index is as follows: In the formula, Represents the hash verification coefficient. This indicates the checksum matching index.

[0033] Specifically, the process for determining whether an anomaly occurs during wireless telemetry transmission is as follows: The message transmission difference index is compared with the set message transmission difference index threshold. If the message transmission difference index is higher than the set message transmission difference index threshold, it indicates that an anomaly has occurred during wireless telemetry transmission; if the message transmission difference index is lower than the set message transmission difference index threshold, it indicates that the information is being transmitted wirelessly normally.

[0034] In this implementation scheme, the message transmission difference index is used to measure the consistency of messages between the sender and receiver. It combines the values ​​of the checksum matching index and the hash check coefficient, reflecting the integrity and consistency of the message during transmission. By calculating the message transmission difference index by combining the checksum matching index and the hash check coefficient, and comparing it with a set threshold, it can determine whether any anomalies have occurred during information transmission. This approach has significant advantages in improving the accuracy of information transmission, enhancing information security, quickly detecting anomalies, and optimizing system performance.

[0035] Please see Figure 2 Specifically, the process of evaluating the transmission channel quality index by analyzing channel gain and fading characteristics through channel state information feedback is as follows: Time-domain and frequency-domain analysis is performed on the channel gain information using channel state information feedback to calculate the channel gain coefficient; time-domain and frequency-domain analysis is performed on the channel fading information using channel state information feedback to calculate the channel fading coefficient; and the transmission channel quality index is obtained by combining the channel gain coefficient and the channel fading coefficient.

[0036] In this implementation scheme, channel state information feedback is a mechanism in wireless communication systems through which the receiver periodically or in real-time reports the current channel state information to the transmitter. The purpose of channel state information feedback is to allow the transmitter to understand the real-time channel state in order to optimize transmission parameters and improve transmission efficiency and reliability. The specific formula for calculating the channel gain coefficient is as follows: In the formula, Represents the channel gain coefficient. Let g(t) represent the total observation time, g(t) represent the channel gain function at time t, N represent the number of sampling points in the frequency domain, and k represent the frequency sample points in the frequency domain analysis. This represents the channel gain at the k-th frequency sample point.

[0037] The formula for calculating the channel fading coefficient is as follows: In the formula, Represents the channel fading coefficient. Let F(t) represent the total observation time, F(t) represent the channel fading function at time t, N represent the number of sampling points in the frequency domain, and k represent the frequency sample points in the frequency domain analysis. This represents the channel fading at the k-th frequency sample point. The formula for calculating the transmission channel quality index is as follows: In the formula, The transmission channel quality index is used to evaluate the overall quality of the transmission channel by combining the channel gain coefficient and the channel fading coefficient. A high quality index indicates good channel transmission performance. Represents the channel gain coefficient. The channel gain coefficient represents the combined characteristics of channel gain in the time and frequency domains, characterizing the channel's ability to enhance transmitted signals. The channel fading coefficient represents the combined characteristics of channel fading in the time and frequency domains, characterizing the impact of channel signal fading.

[0038] Specifically, the process of performing time-domain and frequency-domain analysis on channel gain information is as follows: acquire channel gain data from the receiver of the wireless telemetry system at multiple time points, calculate time-domain statistical parameters, including average value and standard deviation, perform Fourier transform on the channel gain data, calculate the channel gain statistical parameters in the frequency domain, and evaluate the channel gain characteristics.

[0039] In this implementation scheme, channel gain data refers to the numerical value representing the channel gain strength obtained from the receiver of the wireless telemetry system. Sampling is performed at multiple time points to obtain a series of channel gain data points. Time-domain analysis calculates the average and standard deviation of the channel gain data obtained at different time points to understand the distribution and fluctuation of the channel gain over time. Frequency-domain analysis uses Fourier transform to convert the channel gain data from the time domain to the frequency domain, calculating the frequency domain average and standard deviation to understand the distribution and fluctuation of the channel gain over frequency. The Fourier transform is a mathematical transformation used to convert time-domain signals to the frequency domain for analyzing the frequency components of the signal.

[0040] Specifically, the process of obtaining channel fading information through channel state information feedback for time-domain and frequency-domain analysis is as follows: Channel fading data is obtained from the receiver of the wireless telemetry system at multiple time points, and the parameters in the time and frequency domains are calculated respectively to evaluate the channel fading characteristics.

[0041] In this implementation scheme, signal strength changes during wireless transmission due to multipath effects, shadowing effects, etc., are termed channel fading. Channel fading can affect communication quality, therefore, its analysis and evaluation are crucial. Channel State Information (CSI) feedback: This is the process by which the wireless communication system obtains channel state information, including channel fading data, through a CSI feedback mechanism. Feedback is typically sent periodically from the receiver to the transmitter so that the transmitter can adjust its transmission strategy. Detailed analysis of channel fading information allows for timely detection and response to channel changes, improving transmission reliability and stability. The integrated time-domain and frequency-domain analysis method enables the system to gain a more comprehensive understanding of the channel state, enhancing its adaptability to complex channel environments. This reduces communication interruptions and data errors caused by channel fading, improving the user experience.

[0042] Specifically, the process of dynamically adjusting transmission parameters is as follows: By periodically acquiring channel state information and recalculating the channel quality index, the transmission parameters are dynamically adjusted. The transmission parameters include channel conditioner parameters, transmission rate, channel capacity, and channel bandwidth.

[0043] In this implementation scheme, the specific method of dynamic adjustment involves selecting an appropriate modulation and demodulation method based on changes in the channel quality index. A higher-order modulation method is selected when the channel quality index is high, and a lower-order modulation method is selected when the channel quality index is low, improving the system's transmission efficiency and reliability. The transmission rate is adjusted in real time based on the channel quality index: increasing the transmission rate when the channel quality index is high and decreasing it when the channel quality index is low, ensuring the stability of data transmission quality and rate. Channel capacity is dynamically allocated based on the current channel quality index: increasing channel capacity when channel conditions are good and decreasing it when channel conditions are poor, optimizing the utilization of channel resources and avoiding resource waste or excessive congestion. Bandwidth allocation is adjusted based on channel state information. For good channel conditions, a larger bandwidth can be allocated; for poor channel conditions, the bandwidth can be reduced to reduce interference, improve transmission stability and efficiency, and reduce interference.

[0044] In summary, this application has at least the following effects: A message transmission verification measurement method obtains a message transmission difference index and compares it with a set message transmission difference index threshold to determine whether anomalies occur during wireless telemetry transmission. This method accurately diagnoses faults and anomalies during transmission, facilitating efficient management and maintenance of remote devices. Timely detection and response can effectively reduce data loss, improve system robustness and risk resistance, evaluate the transmission channel quality index, and dynamically adjust transmission parameters, thereby improving the stability, reliability, efficiency, and anti-interference capability of information transmission. This provides strong technical support for remote wireless monitoring and control in complex environments.

[0045] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0046] This invention is described with reference to flowchart illustrations and / or block diagrams of systems, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0047] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0048] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0049] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0050] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method of message authentication measurement, characterized by, The method comprises the following steps: S1. Verify the integrity of the message generated by the wireless telemetry system sending end, calculate the check code of the message, and store the message and the check code on the blockchain for sending; S2. Separate the message and the check code received by the wireless telemetry system receiving end, recalculate the check code of the message, and match it with the check code stored in the blockchain, analyze the information difference degree through a hash algorithm, and obtain the message sending difference index; S3. Compare the message sending difference index with the set message sending difference index threshold to determine whether the information has an abnormality in the wireless telemetry transmission process; S4. If the information has an abnormality in the wireless telemetry transmission process, monitor the state of the wireless telemetry transmission channel, analyze the channel gain and fading characteristics through channel state information feedback, evaluate the transmission channel quality index, and dynamically adjust the transmission parameters.

2. The method of claim 1, wherein: The specific process of verifying the integrity of the message generated by the wireless telemetry system sending end and calculating the check code of the message is as follows: Check the format, length, and integrity of each field of the message through the message verification software; Convert the message to a character array, sum each character in the array using the American Standard Code for Information Interchange, and perform a modulo operation to obtain the check value; Calculate the hash value of the message using a hash algorithm, and use the check value as the check code of the message.

3. A messaging verification measurement method according to claim 2, characterized in that: The specific process of recalculating the check code of the message and matching it with the check code stored in the blockchain is as follows: Recalculate the check code of the message, access the check code in the blockchain, and compare the check code recalculated by the wireless telemetry system receiving end with the check code obtained from the blockchain to obtain a check code matching index.

4. A messaging verification measurement method according to claim 3, characterized in that: The specific process of analyzing the information difference degree through a hash algorithm to obtain the message sending difference index is as follows: Perform a hash comparison between the check code recalculated by the wireless telemetry system receiving end and the check code obtained from the blockchain to obtain a hash check coefficient; Comprehensively operate and process the check code matching index and the hash check coefficient to obtain the message sending difference index.

5. A messaging verification measurement method according to claim 4, characterized in that: The specific process of determining whether the information has an abnormality in the wireless telemetry transmission process is as follows: Compare the message sending difference index with the set message sending difference index threshold, if the message sending difference index is higher than the set message sending difference index threshold, it indicates that the information has an abnormality in the wireless telemetry transmission process; If the message sending difference index is lower than the set message sending difference index threshold, it indicates that the information is normally transmitted through wireless telemetry.

6. A messaging verification measurement method according to claim 5, characterized in that: The specific process of analyzing the channel gain and fading characteristics through channel state information feedback to evaluate the transmission channel quality index is as follows: Perform time domain analysis and frequency domain analysis on the channel gain information through channel state information feedback, and calculate the channel gain coefficient; Perform time domain analysis and frequency domain analysis on the channel fading information through channel state information feedback, and calculate the channel fading coefficient; Comprehensively operate the channel gain coefficient and the channel fading coefficient to obtain the transmission channel quality index.

7. A messaging verification measurement method according to claim 6, characterized in that: The specific process of performing time domain analysis and frequency domain analysis on the channel gain information is as follows: The channel gain data is acquired at multiple time points from the wireless telemetry system receiver, time domain statistical parameters including mean and standard deviation are calculated, the channel gain data is Fourier transformed, the channel gain in the frequency domain statistical parameters are calculated, and the channel gain characteristics are evaluated.

8. A messaging verification measurement method according to claim 7, characterized in that: The specific process of time domain analysis and frequency domain analysis of channel fading information acquired through channel state information feedback is as follows: The channel fading data is acquired at multiple time points from the wireless telemetry system receiver, the time domain and frequency domain parameters are calculated respectively, and the channel fading characteristics are evaluated.

9. A messaging verification measurement method according to claim 8, characterized in that: The specific process of dynamically adjusting the transmission parameters is as follows: The transmission parameters including channel regulator parameters, transmission rate, channel capacity and channel bandwidth are dynamically adjusted by periodically acquiring channel state information and recalculating channel quality index.

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