Data transmission method and system in wireless communication network

Abstract

The invention relates to the technical field of data transmission, in particular to a data transmission method and system in a wireless communication network, and the method comprises the steps: recognizing a current load type according to load operation state data, extracting harmonic signals before and after a load type switching moment, and calculating the amplitude variation of each harmonic to obtain harmonic content change characteristic data; calculating a differential interference coefficient of each radio frequency communication frequency band according to the frequency spectrum coverage degree of each sub-harmonic to each radio frequency communication frequency band and the corresponding harmonic amplitude variation; calculating the differential interference coefficient of each radio frequency communication frequency band and the background noise intensity in the original signal data to obtain an actual interference intensity value of each radio frequency communication frequency band, and determining a gain adjustment amount of a radio frequency amplifier corresponding to each radio frequency communication frequency band; adjusting the gain parameter of each radio frequency amplifier according to the gain adjustment amount, and then performing data transmission; and the communication quality stability of the wireless communication network in a complex electromagnetic environment is improved.

Description

Technical Field

[0001] This invention relates to the field of data transmission technology, specifically a data transmission method and system in a wireless communication network. Background Technology

[0002] In wireless communication networks, gain control of radio frequency (RF) amplifiers is a crucial technical aspect to ensure reliable data transmission. Precise adjustment of the gain across different RF communication frequency bands can effectively improve signal strength, enhance signal-to-noise ratio, expand coverage, and reduce bit error rate. However, in actual operation, the electromagnetic environment of wireless communication networks is extremely complex, and various external interference sources can affect RF communication frequency bands to varying degrees. Changes in the operating status of load equipment are a significant source of interference.

[0003] In scenarios where power systems and wireless communication systems coexist, various load devices generate abundant harmonic components during operation. These harmonic signals can enter the radio frequency (RF) communication band through electromagnetic radiation, conducted coupling, and other pathways, interfering with the wireless communication network. Especially when the load type changes, such as from light load to heavy load, from resistive load to inductive load, or from linear load to nonlinear load, the frequency distribution, amplitude, and phase relationship of harmonics change drastically, causing significant fluctuations in harmonic content within a short period. This drastic change in harmonic content creates a complex interference pattern within the RF spectrum. Different RF communication bands exhibit significantly different sensitivities to harmonic interference due to differences in their center frequency, bandwidth, modulation methods, and other parameters. This leads to a differentiated distribution of interference levels across RF communication bands, resulting in a mismatch between RF amplifier gain control strategies and actual requirements, and consequently, communication quality instability.

[0004] Therefore, there is an urgent need for a data transmission method in wireless communication networks, a more precise adjustment strategy for RF amplifier gain control, and an improvement in the communication quality stability of wireless communication networks in complex electromagnetic environments. Summary of the Invention

[0005] (1) Technical problems to be solved

[0006] The purpose of this invention is to provide a data transmission method and system in a wireless communication network to solve the problem that drastic changes in harmonic content caused by load type switching lead to differences in the degree of interference in the radio frequency band, making it impossible to accurately reflect the actual interference intensity of the radio frequency communication band, resulting in a mismatch between the gain control of the radio frequency amplifier and the actual needs, and causing unstable communication quality.

[0007] (2) Technical solution

[0008] To achieve the above objectives, in one aspect, the present invention provides a data transmission method in a wireless communication network, the method comprising:

[0009] The system collects raw signal data and load operation status data of each radio frequency band in the wireless communication network; identifies the current load type based on the load operation status data; determines when a load type switch occurs based on the load type change in adjacent acquisition cycles; extracts harmonic signals within a preset time window before and after the load type switch; calculates the amplitude change of each harmonic within the preset time window; and obtains characteristic data of harmonic content change.

[0010] The degree of spectral coverage of each harmonic to each radio frequency communication band is determined based on the relationship between the frequency of each harmonic and the frequency distribution of each radio frequency communication band; the differential interference coefficient of each radio frequency communication band is calculated based on the spectral coverage and the corresponding harmonic amplitude variation.

[0011] The differential interference coefficients of each radio frequency communication band are fused with the background noise intensity in the original signal data to obtain the actual interference intensity value of each radio frequency communication band; the actual interference intensity value of each radio frequency communication band is compared with the corresponding preset interference intensity threshold, and the gain adjustment amount of the radio frequency amplifier corresponding to each radio frequency communication band is determined according to the comparison result; the gain parameters of each radio frequency amplifier are adjusted according to the gain adjustment amount, and data is transmitted according to the adjusted gain parameters.

[0012] Furthermore, the method for calculating the differentiated interference coefficients of each radio frequency communication band based on the spectrum coverage and the corresponding harmonic amplitude changes includes:

[0013] The harmonic attenuation weight of each harmonic is determined based on its harmonic order. The attenuation weight is then multiplied by the corresponding harmonic amplitude change to obtain the weighted amplitude change of each harmonic. The spectral influence factor of each harmonic on each radio frequency communication band is obtained by calculating the ratio between the spectral coverage of each harmonic on each radio frequency communication band and the bandwidth ratio of each radio frequency communication band.

[0014] The single-order interference contribution of each harmonic to each radio frequency communication band is calculated based on the weighted amplitude change of each harmonic and the corresponding spectral influence factor. The cumulative interference of each radio frequency communication band is obtained by summing all the single-order interference contributions corresponding to each radio frequency communication band. The transient attenuation factor is calculated based on the transient duration of the harmonic content change characteristic data before and after the load type switching time. The transient attenuation factor is multiplied by the cumulative interference of each radio frequency communication band to obtain the differentiated interference coefficient of each radio frequency communication band.

[0015] Furthermore, the method for calculating the transient attenuation factor based on the transient duration of harmonic content change characteristic data before and after the load type switching time includes:

[0016] The amplitude change trajectory of each harmonic after the load type switching time is extracted from the characteristic data of harmonic content change. The duration of the amplitude of each harmonic from the peak value to the steady state value is determined according to the amplitude change trajectory as the transient duration of each harmonic. The transient duration of all harmonics is weighted and averaged to obtain the comprehensive transient duration. The transient duration ratio is calculated by the ratio of the comprehensive transient duration to the duration of the preset time window. The transient duration ratio is substituted into the exponential decay function to obtain the transient decay factor.

[0017] Furthermore, the method for fusing the differentiated interference coefficients of each radio frequency communication band with the background noise intensity in the original signal data to obtain the actual interference intensity value of each radio frequency communication band includes:

[0018] Background noise signals for each radio frequency communication band are extracted from the original signal data. Power spectral density analysis is performed on the background noise signals to obtain the background noise power value of each radio frequency communication band. The noise fluctuation coefficient of each radio frequency communication band is calculated based on the fluctuation amplitude of the background noise power value of each radio frequency communication band before and after the load type switching.

[0019] The dynamic interference component of each radio frequency communication band is obtained by multiplying the differentiated interference coefficient of each band with the corresponding noise fluctuation coefficient; the background noise power value of each band is logarithmically transformed to obtain the noise reference intensity of each band; the comprehensive interference intensity of each band is calculated based on the dynamic interference component and the corresponding noise reference intensity; the priority weight of each band is determined according to its transmission priority in the wireless communication network; and the actual interference intensity value of each band is obtained by weighting and correcting the priority weight with the corresponding comprehensive interference intensity.

[0020] Furthermore, the method for calculating the noise fluctuation coefficient of each radio frequency communication band based on the fluctuation amplitude of the background noise power value of each radio frequency communication band before and after the load type switch includes:

[0021] Obtain the background noise power value sequences of each radio frequency communication band before and after the load type switching time. Calculate the mean value of the background noise power value sequence before the load type switching time to obtain the noise baseline value before the switching of each radio frequency communication band. Calculate the mean value of the background noise power value sequence after the load type switching time to obtain the noise baseline value after the switching of each radio frequency communication band.

[0022] The noise offset of each radio frequency communication band is obtained by calculating the difference between the noise baseline value after the switch and the noise baseline value before the switch. The relative fluctuation amplitude of each radio frequency communication band is obtained by calculating the ratio between the noise offset of each radio frequency communication band and the corresponding noise baseline value before the switch. The noise fluctuation coefficient of each radio frequency communication band is obtained by normalizing the relative fluctuation amplitude.

[0023] Furthermore, the method for calculating the comprehensive interference intensity of each radio frequency communication band based on the dynamic interference components of each radio frequency communication band and the corresponding noise reference intensity includes:

[0024] The spectral energy distribution of each harmonic before and after the load type switching time is extracted from the characteristic data of harmonic content change. The harmonic energy concentration of each radio frequency communication band is calculated based on the spectral energy distribution. The weighted dynamic interference component of each radio frequency communication band is calculated based on the harmonic energy concentration and the dynamic interference component of each radio frequency communication band.

[0025] The signal quality parameters of each radio frequency communication band before and after load type switching are extracted from the original signal data. The signal quality parameters are then analyzed in the time domain to obtain the signal degradation degree of each radio frequency communication band. The modified noise reference strength of each radio frequency communication band is obtained by weighted fusion of the signal degradation degree and the noise reference strength of each radio frequency communication band.

[0026] The frequency band coupling strength of each radio frequency communication band is determined based on the matching relationship between the change in harmonic amplitude caused by load type switching and the bandwidth of each radio frequency communication band. The frequency band coupling strength is then calculated using a nonlinear mapping function to obtain the interference amplification factor of each radio frequency communication band. The enhanced dynamic interference component of each radio frequency communication band is calculated based on the weighted dynamic interference component and the corresponding interference amplification factor. The enhanced dynamic interference component is then linearly superimposed with the corresponding corrected noise reference strength to obtain the comprehensive interference strength of each radio frequency communication band.

[0027] Furthermore, the method for calculating the harmonic energy concentration of each radio frequency communication band based on the spectral energy distribution includes:

[0028] The cumulative energy value of each harmonic in each radio frequency communication band is obtained by performing frequency domain integration on the spectral energy distribution of each harmonic in each radio frequency communication band. The cumulative energy value in each band is then compared with the total energy of each harmonic to obtain the energy proportion of each harmonic in each radio frequency communication band.

[0029] The frequency deviation of each harmonic to each radio frequency communication band is calculated based on the frequency difference between the center frequency and the frequency of each harmonic. The frequency deviation is then substituted into a Gaussian attenuation function to obtain the frequency matching weight of each harmonic to each radio frequency communication band. The weighted energy contribution value of each harmonic to each radio frequency communication band is calculated based on the energy proportion of each harmonic in each radio frequency communication band and the corresponding frequency matching weight. All weighted energy contribution values ​​corresponding to each radio frequency communication band are summed to obtain the total weighted energy value of each radio frequency communication band. The energy concentration ratio of each radio frequency communication band is calculated based on the total weighted energy value of each radio frequency communication band and the average spectral energy of each radio frequency communication band within a preset time window before and after load type switching. The energy concentration ratio is then normalized to obtain the harmonic energy concentration of each radio frequency communication band.

[0030] Furthermore, the method for calculating the frequency deviation of each harmonic from each radio frequency communication band based on the frequency difference between the center frequency and the frequency of each harmonic includes:

[0031] The center frequency and harmonic frequencies of each radio frequency communication band are obtained. The absolute frequency difference of each harmonic relative to each radio frequency communication band is obtained by performing a difference calculation between the center frequency of each harmonic and the center frequency of each radio frequency communication band. The upper and lower frequency limits of each radio frequency communication band are obtained based on the bandwidth of each radio frequency communication band. The frequency domain position relationship of each harmonic relative to each radio frequency communication band is determined by comparing the upper and lower frequency limits of each harmonic with the upper and lower frequency limits of each radio frequency communication band.

[0032] The normalized frequency deviation within a frequency band is obtained by comparing the absolute frequency difference of harmonics falling within the frequency range of each RF communication band with the bandwidth of each RF communication band. The normalized frequency deviation outside a frequency band is obtained by calculating the frequency distance between the harmonics falling outside the frequency range of each RF communication band and the nearest frequency boundary, and then comparing this distance with the bandwidth of each RF communication band. Based on the frequency domain position relationship of each harmonic, the normalized frequency deviation within a frequency band and the normalized frequency deviation outside a frequency band are weighted to obtain the frequency deviation of each harmonic from each RF communication band.

[0033] On the other hand, based on the same inventive concept, the present invention also provides a data transmission system in a wireless communication network, the system comprising: a data acquisition and load identification module, a spectrum coverage and interference calculation module, and an actual interference assessment and gain adjustment module;

[0034] The data acquisition and load identification module is used to acquire raw signal data and load operation status data of each radio frequency communication band in the wireless communication network; identify the current load type based on the load operation status data; determine when a load type switch occurs based on the load type change in adjacent acquisition cycles; extract harmonic signals within a preset time window before and after the load type switch; and calculate the amplitude change of each harmonic within the preset time window to obtain harmonic content change characteristic data.

[0035] The spectrum coverage and interference calculation module is used to determine the spectrum coverage of each harmonic on each radio frequency communication band based on the frequency distribution relationship between each harmonic and each radio frequency communication band; and to calculate the differentiated interference coefficient of each radio frequency communication band based on the spectrum coverage and the corresponding harmonic amplitude change.

[0036] The actual interference assessment and gain adjustment module is used to calculate the actual interference intensity value of each radio frequency communication band by fusing the differentiated interference coefficients of each radio frequency communication band with the background noise intensity in the original signal data; compare the actual interference intensity value of each radio frequency communication band with the corresponding preset interference intensity threshold, and determine the gain adjustment amount of the radio frequency amplifier corresponding to each radio frequency communication band based on the comparison result; adjust the gain parameters of each radio frequency amplifier according to the gain adjustment amount, and perform data transmission based on the adjusted gain parameters.

[0037] (3) Beneficial effects

[0038] Compared with the prior art, the beneficial effects of the present invention are:

[0039] 1. By extracting harmonic signals within a preset time window when load type switching occurs and calculating the amplitude changes of each harmonic, the characteristic data of harmonic content change are obtained. Then, the spectrum coverage is determined based on the frequency distribution relationship between each harmonic and each radio frequency communication band. Combined with the harmonic amplitude changes, the differentiated interference coefficients of each radio frequency communication band are calculated. This can accurately capture the dynamic change characteristics of harmonic content during load type switching, effectively distinguish the differentiated degree of harmonic interference to different radio frequency communication bands, and thus truly reflect the interference intensity that each radio frequency communication band experiences in the actual electromagnetic environment.

[0040] 2. Based on the accurate assessment of the differentiated interference intensity of each radio frequency communication band, the differentiated interference coefficient is further fused with the background noise intensity to calculate the actual interference intensity value. The gain adjustment of the radio frequency amplifier corresponding to each radio frequency communication band is determined according to the comparison between the actual interference intensity value and the preset interference intensity threshold. This achieves precise matching between the gain control of the radio frequency amplifier and the actual interference requirements of each radio frequency communication band, avoiding the problem of excessive amplification of interference signals or insufficient useful signal strength caused by improper gain control of the radio frequency amplifier. This significantly improves the communication quality stability and data transmission reliability of the wireless communication network in complex electromagnetic environments such as load type switching. Attached Figure Description

[0041] Figure 1 This is a flowchart of a data transmission method in a wireless communication network according to Embodiment 1 of the present invention.

[0042] Figure 2 This is a schematic diagram of the module composition of a data transmission system in a wireless communication network according to Embodiment 2 of the present invention. Detailed Implementation

[0043] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0044] Example 1: As Figure 1 As shown, this embodiment provides a data transmission method in a wireless communication network, the method including:

[0045] S1. Collect raw signal data and load operation status data from each radio frequency band in the wireless communication network; identify the current load type based on the load operation status data, and determine when a load type switch occurs based on the load type changes in adjacent acquisition cycles. Extract harmonic signals within a preset time window before and after the load type switch, and calculate the amplitude change of each harmonic within the preset time window to obtain harmonic content change characteristic data; the raw signal data includes complete electromagnetic signal waveforms within the radio frequency band, which are digitally acquired using high-speed sampling equipment at a sampling rate of hundreds of mega-sampling times per second, recording the amplitude, phase, and frequency information of the signal. The load operation status data includes electrical parameters such as load current, voltage, and power factor, which reflect the type and operating characteristics of the load equipment currently connected to the system.

[0046] When identifying the current load type based on load operation status data, the system determines the load type by analyzing characteristic parameters such as the distortion rate of the current waveform, the power factor angle, and the ratio of active power to reactive power. For example, when the power factor is close to 1 and the current waveform is close to a sine wave, it is identified as a resistive load; when the power factor lags and the current waveform has a phase delay, it is identified as an inductive load; when the current waveform shows obvious spikes and high-order harmonic components, it is identified as a nonlinear load such as a switching power supply or frequency converter load. The system performs load type determination at fixed time intervals (e.g., every 100 milliseconds). By comparing the load type identifiers of two adjacent acquisition cycles, a change in the identifier indicates a load type switch has occurred.

[0047] When a load type switch is detected, the system immediately extracts harmonic signals within a preset time window before and after the switch. The preset time window is typically set to 2 seconds before the switch and 3 seconds after, totaling 5 seconds. This captures both the steady-state harmonic characteristics before the switch and the complete recording of the transient harmonic changes after the switch. During harmonic signal extraction, a Fast Fourier Transform (FFT) is used to convert the time-domain signal to the frequency domain, separating the fundamental frequency and each harmonic component. Typically, the 2nd to 50th harmonics are considered, as the amplitudes of higher harmonics have attenuated to negligible levels. The amplitude change of each harmonic within the time window is calculated by subtracting the harmonic amplitude at a specific moment after the switch from the steady-state harmonic amplitude before the switch. For example, if the 5th harmonic has an amplitude of 0.3 amps before the switch and a peak value of 1.2 amps after the switch, its amplitude change is 0.9 amps.

[0048] S2. Determine the spectrum coverage of each harmonic on each radio frequency communication band based on the frequency distribution relationship between each harmonic and each radio frequency communication band. Assume that the operating frequency range of a certain radio frequency communication band is 2.4GHz to 2.48GHz, and the bandwidth is 80MHz. The fundamental frequency of a certain harmonic is 50Hz, and its 15th harmonic frequency is 750Hz. Although the fundamental frequency of the harmonic is much lower than that of the radio frequency band, in actual wireless communication systems, low-frequency harmonic interference affects the radio frequency communication band through the following pathways: (1) Power supply ripple modulation: The harmonic current generated by the load equipment is conducted to the power supply terminal of the radio frequency transmitter or receiver through the power supply system. Amplitude modulation and phase modulation are generated on the radio frequency carrier signal, and sideband components are generated on both sides of the radio frequency carrier frequency. For example, when the carrier frequency is 2.44 GHz and the harmonic frequency is 750 Hz, a modulation sideband will be generated at 2.44 GHz ± 750 Hz; (2) Intermodulation of nonlinear devices: When nonlinear devices such as mixers and power amplifiers in the radio frequency front end are simultaneously present with radio frequency signals and low-frequency interference, they will generate intermodulation products; (3) Broadband radiation of switching noise: The high-speed switching action of nonlinear loads (such as switching power supplies and frequency converters) will generate broadband electromagnetic radiation, the spectrum of which can extend to the GHz band and directly cover the radio frequency communication band. Therefore, each harmonic frequency refers to the equivalent interference frequency component generated in the radio frequency band after the above modulation or intermodulation process. The spectrum coverage is quantified by calculating the proportion of harmonic spectrum energy falling into the frequency range of the radio frequency communication band. In specific calculation, the area of ​​the overlapping region of the harmonic spectrum broadening (due to modulation or spectrum leakage) and the frequency range of the radio frequency communication band is calculated. The ratio of the overlapping area to the total harmonic spectrum area is the spectrum coverage. The differential interference coefficients for each radio frequency communication band are calculated based on the spectrum coverage and the corresponding harmonic amplitude changes.

[0049] The method for calculating the differentiated interference coefficients of each radio frequency communication band based on the spectrum coverage and the corresponding harmonic amplitude changes includes:

[0050] The order attenuation weight of each harmonic is determined based on its harmonic order. The attenuation weight is then multiplied by the corresponding harmonic amplitude change to obtain the weighted amplitude change of each harmonic. The spectral influence factor of each harmonic on each radio frequency band is calculated by ratioing the spectral coverage of each harmonic to the bandwidth proportion of each band. Since higher harmonic orders result in more significant attenuation during propagation, a decreasing function is used for the order attenuation weight. For example, for the nth harmonic, the order attenuation weight can be expressed as... ,in This is the harmonic attenuation coefficient, reflecting the attenuation rate of a harmonic as its order increases. Based on studies of harmonic attenuation characteristics in power systems and impedance characteristic analysis of high-order harmonics in distribution networks, it is typically taken as 0.02 to 0.05. Taking the 5th harmonic as an example, if... If we take 0.03, then =1 / (1+0.03×5)=1 / 1.15≈0.87. Multiply this harmonic attenuation weight by the corresponding harmonic amplitude change to obtain the weighted amplitude change. For example, if the 5th harmonic amplitude change is 0.9 amperes, then the weighted amplitude change is 0.87×0.9=0.783 amperes. The formula for calculating the spectral influence factor is... ,in Let be the spectral impact factor of the i-th harmonic on the j-th radio frequency communication band. Let represent the spectral coverage of the i-th harmonic on the j-th radio frequency communication band. Let j be the bandwidth of the j-th radio frequency communication band. This represents the total bandwidth of all radio frequency communication bands. For example, if the 5th harmonic has a spectral coverage of 0.15 for a certain radio frequency communication band, and the bandwidth of that band is 80MHz, and the total bandwidth of all bands is 800MHz, then the bandwidth ratio is 80 / 800=0.1, and the spectral influence factor is 0.15 / 0.1=1.5.

[0051] The single-order interference contribution of each harmonic to each radio frequency communication band is calculated based on the weighted amplitude change of each harmonic and the corresponding spectral influence factor. The cumulative interference of each radio frequency communication band is obtained by summing all single-order interference contributions. The transient attenuation factor is calculated based on the transient duration of the harmonic content change characteristics before and after the load type switching time. The single-order interference contribution of each harmonic to each radio frequency communication band is obtained by multiplying the weighted amplitude change by the spectral influence factor. For example, if the weighted amplitude change of the 5th harmonic is 0.783 amperes and the spectral influence factor is 1.5, then the single-order interference contribution is 0.783 × 1.5 = 1.175. For example, if a certain radio frequency communication band is affected by the 3rd, 5th, 7th and 9th harmonics, the single interference contribution is 0.85, 1.175, 0.92 and 0.68 respectively. Then the cumulative interference is 0.85+1.175+0.92+0.68=3.625.

[0052] The method for calculating the transient attenuation factor based on the transient duration of harmonic content change characteristic data before and after the load type switching time includes:

[0053] The amplitude change trajectory of each harmonic after the load type switching moment is extracted from the harmonic content change characteristic data. Based on the amplitude change trajectory, the duration of each harmonic's amplitude decaying from its peak value to its steady-state value is determined as the transient duration of each harmonic. A weighted average of the transient durations of all harmonics is performed to obtain the comprehensive transient duration. The ratio of the comprehensive transient duration to the duration of a preset time window is calculated to obtain the transient duration proportion. The transient duration proportion is substituted into an exponential decay function to obtain the transient decay factor. The transient decay factor is calculated by substituting the transient duration proportion into the exponential decay function, and the decay function form is... ,in The percentage of transient duration is the ratio of the duration of the transient to the duration of the preset time window. The attenuation intensity coefficient is determined based on the transient response characteristics of the load switching process, and is typically taken as 1.5 to 2.5. For example, in a scenario where the load type switches from resistive load to nonlinear load, the transient durations of each harmonic are as follows: 3rd harmonic 1.8 seconds, 5th harmonic 2.3 seconds, 7th harmonic 2.1 seconds, and 9th harmonic 2.0 seconds. The weighted average is calculated based on the amplitude changes of each harmonic. Let the amplitude changes of each harmonic be 0.5 amps, 0.9 amps, 0.6 amps, and 0.4 amps, respectively, with a total amplitude change of 2.4 amps. Then the overall transient duration = (0.5 × 1.8 + 0.9 × 2.3 + 0.6 × 2.1 + 0.4 × 2.0) / 2.4 = (0.9 + 2.07 + 1.26 + 0.8) / 2.4 = 5.03 / 2.4 ≈ 2.1 seconds. With a preset time window length of 5 seconds, the transient duration percentage r = 2.1 / 5 = 0.42. If we take 2.0, then the transient decay factor is: ≈0.432. The transient attenuation factor reflects the degree of attenuation of transient interference relative to persistent interference. The shorter the duration of the transient, the larger the attenuation factor, indicating that the actual impact of the interference is relatively small.

[0054] The differential interference coefficient for each radio frequency communication band is obtained by multiplying the transient attenuation factor by the cumulative interference of each band. For example, if the cumulative interference of a certain radio frequency communication band is 3.625 and the transient attenuation factor is 0.432, then the differential interference coefficient for that band is 3.625 × 0.432 = 1.566.

[0055] S3. The actual interference intensity value of each radio frequency communication band is obtained by fusing the differential interference coefficient of each radio frequency communication band with the background noise intensity in the original signal data.

[0056] The method for calculating the actual interference intensity value of each radio frequency communication band by fusing the differentiated interference coefficients of each radio frequency communication band with the background noise intensity in the original signal data includes:

[0057] Background noise signals for each radio frequency (RF) communication band are extracted from the original signal data. Power spectral density (PSD) analysis is then performed on these background noise signals to obtain the background noise power value for each RF communication band. Background noise refers to the background noise present in the RF communication band when there is no data transmission, primarily originating from thermal noise, device noise, and environmental electromagnetic noise. By extracting signal samples from periods without data transmission, PSD analysis is performed to calculate the power value per unit frequency bandwidth. The background noise power value is then obtained by integrating the PSD over the entire frequency band. For example, the background noise power value for a certain RF communication band is -95 dBm.

[0058] The noise fluctuation coefficient of each radio frequency communication band is calculated based on the fluctuation range of the background noise power value of each radio frequency communication band before and after the load type switch; the noise fluctuation coefficient reflects the change range of background noise power before and after the load type switch.

[0059] The method for calculating the noise fluctuation coefficient of each radio frequency communication band based on the fluctuation amplitude of the background noise power value of each radio frequency communication band before and after the load type switch includes:

[0060] Obtain the background noise power value sequences of each radio frequency communication band before and after the load type switching time. Calculate the mean value of the background noise power value sequence before the load type switching time to obtain the noise baseline value before the switching of each radio frequency communication band. Calculate the mean value of the background noise power value sequence after the load type switching time to obtain the noise baseline value after the switching of each radio frequency communication band.

[0061] The noise offset of each RF communication band is obtained by subtracting the noise baseline value after the handover from the noise baseline value before the handover. The relative fluctuation amplitude of each RF communication band is obtained by comparing the noise offset of each RF communication band with the corresponding noise baseline value before the handover. The relative fluctuation amplitude is then normalized to obtain the noise fluctuation coefficient of each RF communication band. Background noise power value sequences for each RF communication band are obtained within 2 seconds before the handover and 3 seconds after the handover, with each sequence containing several sampling points. The arithmetic mean of the sequences before the handover is calculated to obtain the noise baseline value before the handover, for example, -95dBm; the average of the sequences after the handover is calculated to obtain the noise baseline value after the handover, for example, -92dBm. The difference between the two is the noise offset, which is -92 - (-95) = 3dBm. The relative fluctuation amplitude is obtained by comparing the absolute value of the noise offset with the absolute value of the noise baseline value before the handover, which is 3 / 95 ≈ 0.0316. The relative fluctuation amplitude of all radio frequency communication bands is normalized by maximum-minimum, that is, the minimum value is subtracted and then divided by the difference between the maximum and minimum values ​​to obtain the noise fluctuation coefficient with a value between 0 and 1.

[0062] The dynamic interference component of each RF communication band is obtained by multiplying the differentiated interference coefficient of each band with the corresponding noise fluctuation coefficient. The noise reference intensity of each RF communication band is obtained by performing a logarithmic transformation on the background noise power value. For example, assuming a differentiated interference coefficient of 1.566 and a noise fluctuation coefficient of 0.45 for a certain band, the dynamic interference component is 1.566 × 0.45 = 0.705. The noise reference intensity is obtained by performing a logarithmic transformation on the background noise power value, for example, converting the power value from linear units to decibels. If the background noise power is... Watts, then the noise reference intensity is =-95dBm.

[0063] The overall interference intensity of each radio frequency communication band is calculated based on the dynamic interference components of each band and the corresponding noise reference intensity.

[0064] The method for calculating the comprehensive interference intensity of each radio frequency communication band based on the dynamic interference components of each radio frequency communication band and the corresponding noise reference intensity includes:

[0065] Extract the spectral energy distribution of each harmonic to each radio frequency communication band before and after the load type switching time from the characteristic data of harmonic content change, and calculate the harmonic energy concentration of each radio frequency communication band based on the spectral energy distribution;

[0066] The method for calculating the harmonic energy concentration of each radio frequency communication band based on the spectral energy distribution includes:

[0067] Frequency domain integration is performed on the spectral energy distribution of each harmonic in each radio frequency communication band to obtain the cumulative energy value of each harmonic within each band. The ratio of the cumulative energy value within the band to the total energy of each harmonic is then calculated to obtain the energy proportion of each harmonic in each radio frequency communication band. The spectral energy distribution of each harmonic in each radio frequency communication band is extracted from the harmonic content variation characteristic data by convolving the harmonic signal with the filter response of the radio frequency communication band. Frequency domain integration is performed on the energy distribution curve of the harmonic within a certain frequency range of a radio frequency communication band to obtain the cumulative energy value within the band. For example, the cumulative energy value of the 5th harmonic in the 2.4GHz to 2.48GHz band is 0.028 joules, while the total energy of this harmonic is 0.12 joules; therefore, the energy proportion is 0.028 / 0.12 ≈ 0.233.

[0068] The frequency deviation of each harmonic from each radio frequency communication band is calculated based on the frequency difference between the center frequency and the frequency of each harmonic. The frequency deviation is used to quantify the degree of deviation between the harmonic frequency and the center frequency of the radio frequency communication band.

[0069] The method for calculating the frequency deviation of each harmonic from each radio frequency communication band based on the frequency difference between the center frequency and the frequency of each harmonic in each radio frequency communication band includes:

[0070] The process involves: acquiring the center frequency and harmonic frequencies of each RF communication band; calculating the difference between the harmonic frequencies and the center frequencies of each RF communication band to obtain the absolute frequency difference of each harmonic relative to each RF communication band; obtaining the upper and lower frequency limits of each RF communication band based on its bandwidth; comparing the harmonic frequencies with these limits to determine their frequency domain position relative to each RF communication band; acquiring the center frequency of each RF communication band (e.g., 2.44 GHz) and the equivalent frequencies of each harmonic frequency after intermodulation or upconversion in the RF band; subtracting the equivalent harmonic frequency from the center frequency to obtain the absolute frequency difference; determining the upper and lower frequency limits based on the bandwidth of the RF communication band (e.g., 2.48 GHz for an 80 MHz bandwidth); and comparing the equivalent harmonic frequencies with these boundary values ​​to determine whether the harmonic falls within, at the edge of, or outside the frequency band.

[0071] The normalized frequency deviation within a frequency band is obtained by comparing the absolute frequency difference of harmonics falling within the frequency range of each RF communication band with the bandwidth of each RF communication band. The normalized frequency deviation outside a frequency band is obtained by calculating the frequency distance between the harmonics falling outside the frequency range of each RF communication band and the nearest frequency boundary, and then comparing this distance with the bandwidth of each RF communication band. Based on the frequency domain position of each harmonic, the normalized frequency deviations within and outside the frequency band are weighted to obtain the frequency deviation of each harmonic from each RF communication band. For example, if the equivalent frequency of a harmonic is 2.43 GHz, the difference from the center frequency of 2.44 GHz is 0.01 GHz (10 MHz). Dividing this by the bandwidth of 80 MHz gives a normalized deviation of 10 / 80 = 0.125. For example, if the equivalent frequency of a harmonic is 2.52 GHz, exceeding the upper limit of 2.48 GHz by 40 MHz, the normalized deviation is 40 / 80 = 0.5. Based on the frequency domain position relationship of harmonics, different weights are assigned to the normalized deviations within and outside the frequency band. The harmonics within the frequency band have a higher weight (e.g., 0.8), while the harmonics outside the frequency band have a lower weight (e.g., 0.3). The frequency deviation is obtained after weighting.

[0072] The frequency deviation is substituted into a Gaussian attenuation function to calculate the frequency matching weight of each harmonic to each radio frequency communication band. Based on the energy proportion of each harmonic in each radio frequency communication band and its corresponding frequency matching weight, the weighted energy contribution value of each harmonic to each radio frequency communication band is calculated. All weighted energy contribution values ​​corresponding to each radio frequency communication band are summed to obtain the total weighted energy value of each radio frequency communication band. Based on the total weighted energy value of each radio frequency communication band and the average spectral energy of each radio frequency communication band within a preset time window before and after load type switching, the energy concentration ratio of each radio frequency communication band is calculated. The energy concentration ratio is normalized to obtain the harmonic energy concentration of each radio frequency communication band. The frequency deviation is substituted into a Gaussian attenuation function to calculate the frequency matching weight, the function form of which is... ,in Frequency deviation, This is the attenuation width parameter, controlling the sensitivity of frequency matching, and is typically set to 0.3 to 0.5. If the frequency deviation is 0.125, If we set it to 0.4, then the frequency matching weight is: The weighted energy contribution value is obtained by multiplying the energy proportion of each harmonic by the frequency matching weight. For example, multiplying the energy proportion of 0.233 by the frequency matching weight of 0.952 yields 0.222. The average spectral energy of each radio frequency band within a preset time window before and after load type switching is calculated. The total weighted energy value is divided by the average spectral energy to obtain the energy concentration ratio. The energy concentration ratio is normalized to a value between 0 and 1 to obtain the harmonic energy concentration degree. The larger the energy concentration ratio, the more concentrated the harmonic energy is in that frequency band, and the more significant the interference effect.

[0073] The weighted dynamic interference components of each radio frequency communication band are calculated based on the harmonic energy concentration and the dynamic interference components of each band; the weighted dynamic interference components are obtained by multiplying the harmonic energy concentration by the dynamic interference components.

[0074] Signal quality parameters for each radio frequency (RF) band before and after load type switching are extracted from the original signal data. Time-domain analysis is performed on these parameters to determine the signal degradation degree of each RF band. A weighted fusion of the signal degradation degree and the noise reference strength of each RF band yields the corrected noise reference strength. Signal quality parameters for the RF band before and after load type switching, including bit error rate (BER), signal-to-noise ratio (SNR), and received signal strength indication (RSS), are extracted from the original signal data. Time-domain analysis is performed on these parameters, such as calculating the increase in BER after switching relative to before switching, or the decrease in SNR, to quantify the degree of signal degradation. The noise reference strength is corrected based on the degree of signal degradation; the more severe the degradation, the larger the correction factor. The corrected noise reference strength is obtained by multiplying the noise reference strength by the correction factor.

[0075] The frequency coupling strength of each RF communication band is determined based on the matching relationship between the harmonic amplitude changes caused by load type switching and the bandwidth of each RF communication band. The frequency coupling strength is then calculated using a nonlinear mapping function to obtain the interference amplification factor for each RF communication band. The enhanced dynamic interference component of each RF communication band is calculated based on the weighted dynamic interference component and the corresponding interference amplification factor. This enhanced dynamic interference component is then linearly superimposed with the corresponding corrected noise reference strength to obtain the comprehensive interference strength of each RF communication band. The frequency coupling strength reflects the degree of matching between the harmonic amplitude changes and the RF communication band bandwidth. A larger harmonic amplitude change and a narrower band bandwidth result in a higher coupling strength, as narrowband bands are more easily filled by harmonic interference. Specifically, the ratio of the normalized harmonic amplitude change to the RF communication band bandwidth is used as the base value for the coupling strength, which is then adjusted based on the proximity of the harmonic frequency to the band center frequency. The frequency coupling strength is then substituted into a nonlinear mapping function, such as a hyperbolic tangent function or an S-curve, to obtain the interference amplification factor. This nonlinear mapping maintains the amplification factor close to 1 when the coupling strength is low, while significantly increasing the amplification factor when the coupling strength is high. The enhanced dynamic interference component is obtained by multiplying the weighted dynamic interference component by the interference amplification factor. The enhanced dynamic interference component is linearly superimposed with the corrected noise reference strength, i.e., the two are directly added together to obtain the comprehensive interference strength. The comprehensive interference strength comprehensively reflects the combined effects of harmonic interference, noise fluctuations, and signal quality degradation.

[0076] The priority weight of each radio frequency communication band is determined based on its transmission priority in the wireless communication network. This priority weight is then weighted and adjusted with the corresponding overall interference intensity to obtain the actual interference intensity value for each radio frequency communication band. Priority weights are assigned to each radio frequency communication band based on the importance of the services it carries in the wireless communication network. For example, bands carrying control signaling have the highest priority and a weight of 1.5; bands carrying ordinary data have a weight of 1.0. By multiplying the priority weight by the overall interference intensity and applying a weighted adjustment, higher-priority bands will obtain higher actual interference intensity values ​​under the same overall interference intensity, thereby triggering more aggressive gain adjustments.

[0077] The actual interference intensity value of each radio frequency communication band is compared with the corresponding preset interference intensity threshold. Based on the comparison result, the gain adjustment amount of the radio frequency amplifier corresponding to each radio frequency communication band is determined. The gain parameters of each radio frequency amplifier are adjusted according to the gain adjustment amount, and data transmission is performed based on the adjusted gain parameters. The interference intensity threshold is set according to the communication protocol requirements and service quality standards. For example, the threshold for a certain frequency band is -80dBm. If the actual interference intensity value is -75dBm, exceeding the threshold by 5dBm, the gain of the radio frequency amplifier corresponding to that frequency band needs to be adjusted. The gain adjustment amount is determined based on the magnitude of exceeding the threshold; the greater the exceedance, the greater the gain increase. The calculation formula can be a linear relationship or a piecewise function. Based on the calculated gain adjustment amount, the gain parameters of the radio frequency amplifier are modified by control signals, for example, adjusting the gain from 20dB to 25dB, thereby improving the signal strength of that frequency band, improving the signal-to-noise ratio, and ensuring stable data transmission quality even in the presence of interference.

[0078] Example 2: Based on the same inventive concept, such as Figure 2 As shown, this embodiment also provides a data transmission system in a wireless communication network, the system including: a data acquisition and load identification module, a spectrum coverage and interference calculation module, and an actual interference assessment and gain adjustment module;

[0079] The data acquisition and load identification module is used to acquire raw signal data and load operation status data of each radio frequency communication band in the wireless communication network; identify the current load type based on the load operation status data; determine when a load type switch occurs based on the load type change in adjacent acquisition cycles; extract harmonic signals within a preset time window before and after the load type switch; and calculate the amplitude change of each harmonic within the preset time window to obtain harmonic content change characteristic data.

[0080] The spectrum coverage and interference calculation module is used to determine the spectrum coverage of each harmonic on each radio frequency communication band based on the frequency distribution relationship between each harmonic and each radio frequency communication band; and to calculate the differentiated interference coefficient of each radio frequency communication band based on the spectrum coverage and the corresponding harmonic amplitude change.

[0081] The actual interference assessment and gain adjustment module is used to calculate the actual interference intensity value of each radio frequency communication band by fusing the differentiated interference coefficients of each radio frequency communication band with the background noise intensity in the original signal data; compare the actual interference intensity value of each radio frequency communication band with the corresponding preset interference intensity threshold, and determine the gain adjustment amount of the radio frequency amplifier corresponding to each radio frequency communication band based on the comparison result; adjust the gain parameters of each radio frequency amplifier according to the gain adjustment amount, and perform data transmission based on the adjusted gain parameters.

[0082] It should be noted that the specific methods by which each module performs operations in the system described in the above embodiments have been described in detail in the embodiments related to the method, and will not be elaborated here.

[0083] Finally, it should be noted that although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A data transmission method in a wireless communication network, characterized in that, The method includes: The system collects raw signal data and load operation status data of each radio frequency band in the wireless communication network; identifies the current load type based on the load operation status data; determines when a load type switch occurs based on the load type change in adjacent acquisition cycles; extracts harmonic signals within a preset time window before and after the load type switch; calculates the amplitude change of each harmonic within the preset time window; and obtains characteristic data of harmonic content change. The degree of spectral coverage of each harmonic to each radio frequency communication band is determined based on the relationship between the frequency of each harmonic and the frequency distribution of each radio frequency communication band; the differential interference coefficient of each radio frequency communication band is calculated based on the spectral coverage and the corresponding harmonic amplitude variation. The differential interference coefficients of each radio frequency communication band are fused with the background noise intensity in the original signal data to obtain the actual interference intensity value of each radio frequency communication band; the actual interference intensity value of each radio frequency communication band is compared with the corresponding preset interference intensity threshold, and the gain adjustment amount of the radio frequency amplifier corresponding to each radio frequency communication band is determined according to the comparison result; the gain parameters of each radio frequency amplifier are adjusted according to the gain adjustment amount, and data is transmitted according to the adjusted gain parameters.

2. The data transmission method in a wireless communication network according to claim 1, characterized in that, The method for calculating the differentiated interference coefficients of each radio frequency communication band based on the spectrum coverage and the corresponding harmonic amplitude changes includes: The order attenuation weight of each harmonic is determined based on the harmonic order of each harmonic. The order attenuation weight is multiplied by the corresponding harmonic amplitude change to obtain the weighted amplitude change of each harmonic. The spectral influence factor of each harmonic on each radio frequency communication band is obtained by calculating the ratio between the spectral coverage of each harmonic on each radio frequency communication band and the bandwidth ratio of each radio frequency communication band. The single-order interference contribution of each harmonic to each radio frequency communication band is calculated based on the weighted amplitude change of each harmonic and the corresponding spectral influence factor. The cumulative interference of each radio frequency communication band is obtained by summing all the single-order interference contributions corresponding to each radio frequency communication band. The transient attenuation factor is calculated based on the transient duration of the harmonic content change characteristic data before and after the load type switching time. The transient attenuation factor is multiplied by the cumulative interference of each radio frequency communication band to obtain the differentiated interference coefficient of each radio frequency communication band.

3. The data transmission method in a wireless communication network according to claim 2, characterized in that, The method for calculating the transient attenuation factor based on the transient duration of harmonic content change characteristic data before and after the load type switching time includes: The amplitude change trajectory of each harmonic after the load type switching time is extracted from the characteristic data of harmonic content change. The duration of the amplitude of each harmonic from the peak value to the steady state value is determined according to the amplitude change trajectory as the transient duration of each harmonic. The transient duration of all harmonics is weighted and averaged to obtain the comprehensive transient duration. The transient duration ratio is calculated by the ratio of the comprehensive transient duration to the duration of the preset time window. The transient duration ratio is substituted into the exponential decay function to obtain the transient decay factor.

4. The data transmission method in a wireless communication network according to claim 1, characterized in that, The method for calculating the actual interference intensity value of each radio frequency communication band by fusing the differentiated interference coefficients of each radio frequency communication band with the background noise intensity in the original signal data includes: Background noise signals for each radio frequency communication band are extracted from the original signal data. Power spectral density analysis is performed on the background noise signals to obtain the background noise power value of each radio frequency communication band. The noise fluctuation coefficient of each radio frequency communication band is calculated based on the fluctuation amplitude of the background noise power value of each radio frequency communication band before and after the load type switching. The dynamic interference component of each radio frequency communication band is obtained by multiplying the differentiated interference coefficient of each band with the corresponding noise fluctuation coefficient; the background noise power value of each band is logarithmically transformed to obtain the noise reference intensity of each band; the comprehensive interference intensity of each band is calculated based on the dynamic interference component and the corresponding noise reference intensity; the priority weight of each band is determined according to its transmission priority in the wireless communication network; and the actual interference intensity value of each band is obtained by weighting and correcting the priority weight with the corresponding comprehensive interference intensity.

5. A data transmission method in a wireless communication network according to claim 4, characterized in that, The method for calculating the noise fluctuation coefficient of each radio frequency communication band based on the fluctuation amplitude of the background noise power value of each radio frequency communication band before and after the load type switch includes: The background noise power value sequences of each radio frequency communication band before and after the load type switching time are obtained respectively; the mean value of the background noise power value sequence before the load type switching time is calculated to obtain the noise baseline value before the switching of each radio frequency communication band; the mean value of the background noise power value sequence after the load type switching time is calculated to obtain the noise baseline value after the switching of each radio frequency communication band. The noise offset of each radio frequency communication band is obtained by calculating the difference between the noise baseline value after the switch and the noise baseline value before the switch. The relative fluctuation amplitude of each radio frequency communication band is obtained by calculating the ratio between the noise offset of each radio frequency communication band and the corresponding noise baseline value before the switch. The noise fluctuation coefficient of each radio frequency communication band is obtained by normalizing the relative fluctuation amplitude.

6. A data transmission method in a wireless communication network according to claim 4, characterized in that, The method for calculating the comprehensive interference intensity of each radio frequency communication band based on the dynamic interference components of each radio frequency communication band and the corresponding noise reference intensity includes: Extract the spectral energy distribution of each harmonic before and after the load type switching time from the characteristic data of harmonic content change. Calculate the harmonic energy concentration of each radio frequency communication band based on the spectral energy distribution. Calculate the weighted dynamic interference component of each radio frequency communication band based on the harmonic energy concentration and the dynamic interference component of each radio frequency communication band. The signal quality parameters of each radio frequency communication band before and after load type switching are extracted from the original signal data. The signal quality parameters are analyzed in the time domain to obtain the signal degradation degree of each radio frequency communication band. The modified noise reference strength of each radio frequency communication band is obtained by weighted fusion based on the signal degradation degree and the noise reference strength of each radio frequency communication band. The frequency band coupling strength of each radio frequency communication band is determined based on the matching relationship between the change in harmonic amplitude caused by load type switching and the bandwidth of each radio frequency communication band. The frequency band coupling strength is then calculated using a nonlinear mapping function to obtain the interference amplification factor of each radio frequency communication band. The enhanced dynamic interference component of each radio frequency communication band is calculated based on the weighted dynamic interference component and the corresponding interference amplification factor. The enhanced dynamic interference component is then linearly superimposed with the corresponding corrected noise reference strength to obtain the comprehensive interference strength of each radio frequency communication band.

7. A data transmission method in a wireless communication network according to claim 6, characterized in that, The method for calculating the harmonic energy concentration of each radio frequency communication band based on the spectral energy distribution includes: The frequency domain integral operation is performed on the spectral energy distribution of each harmonic in each radio frequency communication band to obtain the cumulative energy value of each harmonic in each radio frequency communication band. The ratio of the cumulative energy value in the frequency band to the total energy of each harmonic is calculated to obtain the energy proportion of each harmonic in each radio frequency communication band. The frequency deviation of each harmonic to each radio frequency communication band is calculated based on the frequency difference between the center frequency and the frequency of each harmonic. The frequency deviation is then substituted into a Gaussian attenuation function to obtain the frequency matching weight of each harmonic to each radio frequency communication band. The weighted energy contribution value of each harmonic to each radio frequency communication band is calculated based on the energy proportion of each harmonic in each radio frequency communication band and the corresponding frequency matching weight. All weighted energy contribution values ​​corresponding to each radio frequency communication band are summed to obtain the total weighted energy value of each radio frequency communication band. The energy concentration ratio of each radio frequency communication band is calculated based on the total weighted energy value of each radio frequency communication band and the average spectral energy of each radio frequency communication band within a preset time window before and after load type switching. The energy concentration ratio is then normalized to obtain the harmonic energy concentration of each radio frequency communication band.

8. A data transmission method in a wireless communication network according to claim 7, characterized in that, The method for calculating the frequency deviation of each harmonic from each radio frequency communication band based on the frequency difference between the center frequency and the frequency of each harmonic in each radio frequency communication band includes: The center frequency and harmonic frequency of each radio frequency communication band are obtained. The difference between each harmonic frequency and the center frequency of each radio frequency communication band is calculated to obtain the absolute frequency difference of each harmonic relative to each radio frequency communication band. The upper and lower frequency limits of each radio frequency communication band are obtained according to the bandwidth of each radio frequency communication band. The frequency domain position relationship of each harmonic relative to each radio frequency communication band is determined by comparing each harmonic frequency with the upper and lower frequency limits of each radio frequency communication band. The normalized frequency deviation within a frequency band is obtained by comparing the absolute frequency difference of harmonics falling within the frequency range of each RF communication band with the bandwidth of each RF communication band. The normalized frequency deviation outside a frequency band is obtained by calculating the frequency distance between the harmonics falling outside the frequency range of each RF communication band and the nearest frequency boundary, and then comparing this distance with the bandwidth of each RF communication band. Based on the frequency domain position relationship of each harmonic, the normalized frequency deviation within a frequency band and the normalized frequency deviation outside a frequency band are weighted to obtain the frequency deviation of each harmonic from each RF communication band.

9. A data transmission system in a wireless communication network, characterized in that, The system includes: a data acquisition and load identification module, a spectrum coverage and interference calculation module, and an actual interference assessment and gain adjustment module; The data acquisition and load identification module is used to acquire raw signal data and load operation status data of each radio frequency communication band in the wireless communication network; identify the current load type based on the load operation status data; determine when a load type switch occurs based on the load type change in adjacent acquisition cycles; extract harmonic signals within a preset time window before and after the load type switch; and calculate the amplitude change of each harmonic within the preset time window to obtain harmonic content change characteristic data. The spectrum coverage and interference calculation module is used to determine the spectrum coverage of each harmonic to each radio frequency communication band based on the frequency distribution relationship between each harmonic and each radio frequency communication band; and to calculate the differentiated interference coefficient of each radio frequency communication band based on the spectrum coverage and the corresponding harmonic amplitude change. The actual interference assessment and gain adjustment module is used to calculate the actual interference intensity value of each radio frequency communication band by fusing the differentiated interference coefficients of each radio frequency communication band with the background noise intensity in the original signal data; compare the actual interference intensity value of each radio frequency communication band with the corresponding preset interference intensity threshold, and determine the gain adjustment amount of the radio frequency amplifier corresponding to each radio frequency communication band based on the comparison result; adjust the gain parameters of each radio frequency amplifier according to the gain adjustment amount, and perform data transmission based on the adjusted gain parameters.

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