Communication device microwave broadband channel adaptive transmission method and system

Abstract

This invention relates to the field of wireless communication technology, specifically disclosing a microwave broadband channel adaptive transmission method and system for communication equipment. The method includes: dividing the available frequency band into multiple sub-bands; monitoring the channel characteristic parameters of each sub-band; evaluating channel quality and generating time-series data; extracting the degree and frequency of channel quality degradation, predicting degradation trends, identifying sub-bands as degraded or stable, and dynamically adjusting the transmission parameters of degraded sub-bands; predicting the effective transmission capacity after adjustment and calculating the reduction in transmission capacity compared to before adjustment; estimating the remaining transmission capacity of stable sub-bands; and, based on channel quality and the reduction in transmission capacity, performing cross-band transmission capacity allocation. This invention achieves fine-grained adaptive adjustment at the sub-band level and proactive prediction of channel quality degradation trends. Through dynamic migration of cross-band data load, it improves spectrum utilization efficiency and transmission reliability under frequency-selective fading environments.

Description

Technical Field

[0001] This invention relates to the field of wireless communication technology, specifically to a microwave broadband channel adaptive transmission method and system for communication devices. Background Technology

[0002] In broadband microwave channels, because the signal bandwidth is much larger than the channel coherence bandwidth, the channel exhibits frequency-selective fading characteristics. That is, there are significant differences in the fading depth and fading rate experienced by different frequency bands within the same broadband channel. Some frequency bands may be in a state of deep fading while adjacent frequency bands maintain good transmission quality.

[0003] To address these characteristics, existing microwave communication systems have begun to employ adaptive transmission technologies, primarily including adaptive modulation and coding techniques and adaptive power control techniques. Adaptive modulation and coding techniques monitor the overall quality indicators of the channel in real time, such as the signal-to-noise ratio or bit error rate, and select a modulation order and coding rate from a pre-set set of modulation and coding schemes that match the overall quality of the current channel, thus balancing transmission rate and reliability. Adaptive power control techniques dynamically adjust the transmit power based on the degree of channel attenuation to maintain signal quality at the receiver.

[0004] However, existing adaptive transmission technologies have the following shortcomings: First, existing technologies treat the entire broadband channel as a unified adjustment object, selecting a single modulation and coding scheme based on the overall signal-to-noise ratio or average bit error rate of the channel and applying it to all frequency bands. Using a unified modulation and coding scheme will lead to two disadvantages: if the modulation order is reduced based on inferior frequency bands, the spectral efficiency of superior frequency bands is wasted; if high-order modulation is maintained based on superior frequency bands, the transmission reliability of inferior frequency bands cannot be guaranteed.

[0005] Second, most existing adaptive mechanisms adopt a passive response mode, which only initiates parameter switching after the channel quality has deteriorated to the point of affecting transmission performance. There is a certain response delay during the switching process, which may lead to short-term transmission interruption or data loss.

[0006] Third, existing technologies uniformly distribute data across various frequency bands of broadband channels for transmission, without dynamically migrating and redistributing the data load across frequency bands based on the real-time channel quality differences of each band. When a frequency band suffers deep fading, the data allocated to that band still attempts to transmit under poor channel conditions, leading to an increased bit error rate for that portion of the data, while adjacent high-quality frequency bands may have unused remaining transmission capacity.

[0007] Therefore, existing technologies struggle to achieve differentiated adaptive transmission and optimal allocation of data load across frequency bands under frequency-selective fading conditions in microwave broadband channels, thus limiting the spectrum utilization efficiency and transmission reliability of broadband microwave communication systems in complex propagation environments. Summary of the Invention

[0008] In view of this, in order to solve the problems mentioned in the background art, a microwave broadband channel adaptive transmission method and system for communication equipment is proposed.

[0009] The technical solution adopted by this invention to solve its technical problem is: In a first aspect, the present invention provides an adaptive transmission method for microwave broadband channels in communication equipment, comprising the following steps: S1. Divide the available frequency band of the microwave broadband channel into multiple sub-bands, monitor the channel characteristic parameters of each sub-band in multiple consecutive detection periods, evaluate the channel quality of each sub-band in each detection period, and generate channel quality time series data.

[0010] S2. Based on the channel quality time-series data of each sub-band, extract the degree of channel quality degradation and its frequency of occurrence, predict whether there is a channel quality degradation trend in each sub-band, identify each sub-band as a degraded sub-band or a stable sub-band accordingly, and dynamically adjust the transmission parameters of the degraded sub-band.

[0011] S3. Based on the transmission parameters after the degradation sub-band is adjusted, predict its effective transmission capacity and compare it with the initial transmission capacity before parameter adjustment to calculate the reduction in transmission capacity of the degradation sub-band.

[0012] S4. Calculate the remaining transmission capacity of the stable sub-bands, and perform cross-band transmission capacity allocation based on the remaining transmission capacity of the stable sub-bands, channel quality, and the reduction in transmission capacity of the degraded sub-bands.

[0013] Based on the above embodiments, the method for monitoring channel characteristic parameters of a sub-band during the detection period includes: During the detection period, a detection signal is transmitted to the sub-band, and the received power of the returned signal is continuously sampled at set time intervals to generate a received power sampling sequence.

[0014] The received power sampling sequence is smoothed, and the average power value after smoothing is used as the received power of the return signal. The system equivalent noise power at the receiving end is obtained, and the ratio of the received power of the return signal to the system equivalent noise power is calculated to obtain the signal-to-noise ratio of the sub-band.

[0015] The fading depth of a sub-band is determined by the difference between the maximum and minimum values ​​in the received power sampling sequence.

[0016] The level threshold is determined based on the median of the received power sampling sequence. The number of times the received power crosses the level threshold is counted. The counted number of crossings is divided by the duration of the detection period to obtain the fading rate of the sub-band.

[0017] Based on the signal-to-noise ratio, fading depth, and fading rate of the sub-band, a set of channel characteristic parameters is constructed.

[0018] Based on the above embodiments, a method for evaluating the channel quality of a sub-band during the detection period includes: Extract the reference range of channel characteristic parameters for each sub-band from the database to obtain the upper and lower reference values ​​of the channel characteristic parameters.

[0019] Based on the measured values ​​of signal-to-noise ratio, fading depth, and fading rate of the sub-band within the detection period, and their respective reference ranges, the signal-to-noise ratio, fading depth, and fading rate are normalized and mapped to dimensionless values ​​in the range of 0 to 1. The signal-to-noise ratio is mapped in the forward direction, while the fading depth and fading rate are mapped in the reverse direction.

[0020] Based on the three dimensionless values ​​obtained after normalization, and combined with the preset fusion weights of signal-to-noise ratio, fading depth, and fading rate in channel quality assessment, the channel quality of the sub-band during the detection period is calculated through linear weighted fusion analysis.

[0021] Based on the above embodiments, the method for extracting the degree of channel quality degradation and its frequency of occurrence includes: Using the detection period number as the horizontal axis and the channel quality value as the vertical axis, a channel quality change trend curve is plotted based on the channel quality time series data of the sub-band.

[0022] Based on the preset channel quality threshold, a channel quality baseline is determined in the channel quality change trend curve.

[0023] Identify all data points on the channel quality change trend curve that are below the baseline and mark them as degraded data points. Calculate the distance between each degraded data point and the baseline and take the maximum value of the calculated distance as the degree of channel quality degradation.

[0024] Extract the discrete curve segments below the baseline in the channel quality change trend curve, count the number of discrete curve segments, and use this number as the frequency of channel quality degradation.

[0025] Based on the above embodiments, the method for predicting whether a sub-band has a channel quality degradation trend and identifying its type includes: The degree of channel quality degradation is compared with a preset degradation threshold, and the frequency of channel quality degradation is compared with a preset allowable upper limit.

[0026] If the degree of degradation is greater than the degradation threshold and the frequency of degradation is greater than the allowable upper limit, then the sub-band is determined to have a channel quality degradation trend and is marked as a degraded sub-band.

[0027] Otherwise, if no channel quality degradation trend is found in the sub-band, it is determined that the sub-band is a stable sub-band.

[0028] Based on the above embodiments, the method for dynamically adjusting the transmission parameters of the degraded sub-band includes: Based on the degree of channel quality degradation of the degraded sub-band and according to the preset modulation and coding scheme mapping table, the modulation order and coding rate of the degraded sub-band are reduced in stages. The modulation and coding scheme mapping table records the correspondence between different channel quality degradation ranges and modulation and coding scheme index values.

[0029] After reducing the modulation order and coding rate, the channel quality of the degraded sub-band is monitored, and it is determined whether it has improved to the standard of the stable sub-band.

[0030] If the standard for a stable sub-band has been achieved, then the adjustment of transmission parameters for the degraded sub-band is terminated.

[0031] If the channel quality of the degraded sub-band is not improved to the standard of a stable sub-band, the transmission power of the degraded sub-band will be gradually increased according to the preset maximum allowable transmission power increment for a single adjustment until the channel quality of the degraded sub-band is improved to the standard of a stable sub-band, or the increased transmission power reaches the preset transmission power limit.

[0032] Based on the above embodiments, the method for calculating the reduction in transmission capacity of the degraded sub-band includes: Monitor the channel characteristic parameters of the degraded sub-band after the transmission parameters are adjusted, and retrieve historical communication transmission conditions with the same or similar channel characteristic parameters from the database. Use the upper limit of the transmission capacity in the historical communication transmission conditions as the upper limit of the transmission capacity of the degraded sub-band.

[0033] Based on the transmission parameters adjusted by the degraded sub-band, and combined with the transmission capacity utilization corresponding to different preset combinations of transmission parameters, the transmission capacity utilization rate of the degraded sub-band is determined.

[0034] Based on the upper limit of the transmission capacity and the transmission capacity utilization rate of the degraded sub-band, the effective transmission capacity of the degraded sub-band after the transmission parameters are adjusted is calculated, and the effective transmission capacity is compared with the initial transmission capacity before the parameter adjustment to determine the amount of transmission capacity reduction of the degraded sub-band.

[0035] Based on the above embodiments, step S4 includes: S41. Sort each degraded sub-band in descending order of its transmission capacity reduction to generate an analysis sequence of degraded sub-bands, and record the transmission capacity reduction of each degraded sub-band as the transmission capacity to be allocated.

[0036] S42. Obtain the effective transmission capacity of each stable sub-band, and calculate the remaining transmission capacity of each stable sub-band in combination with its load.

[0037] The average value of the channel quality time series data for each stable sub-band is taken as its channel quality.

[0038] Based on the remaining transmission capacity and channel quality of each stable sub-band, the priority of each stable sub-band in participating in transmission capacity allocation is evaluated, and they are sorted in descending order of priority to generate a stable sub-band allocation sequence.

[0039] S43. For the degraded sub-band that ranks first in the analysis sequence, perform cross-band transmission capacity allocation.

[0040] S44. Update the allocation sequence of stable sub-bands and the remaining transmission capacity of each stable sub-band.

[0041] S45. Following the analysis process of step S43, perform cross-band transmission capacity allocation on the second-ranked degraded sub-band in the analysis sequence, and sequentially traverse all degraded sub-bands in the analysis sequence.

[0042] Based on the above embodiments, the process of performing cross-band transmission capacity allocation in step S43 includes: The unallocated transmission capacity of the degraded subband at the top of the order is transferred to the stable subband at the top of the order in the allocation sequence.

[0043] Compare the transmission capacity to be allocated with the remaining transmission capacity of the first-ranked stable sub-band.

[0044] If the transmission capacity to be allocated is less than or equal to the remaining transmission capacity, then the transmission capacity allocation for the degraded sub-band is completed.

[0045] If the transmission capacity to be allocated is greater than the remaining transmission capacity, then the remaining amount after deducting the remaining transmission capacity from the transmission capacity to be allocated is calculated, and the remaining amount is migrated to the second stable sub-band in the allocation sequence.

[0046] This process continues until the allocated transmission capacity of the first-ranked degraded sub-band is completely migrated.

[0047] In a second aspect, the present invention also provides a microwave broadband channel adaptive transmission system for communication equipment, comprising: Channel partitioning and quality monitoring module: Divides the available frequency band of the microwave broadband channel into multiple sub-bands, monitors the channel characteristic parameters of each sub-band in multiple consecutive detection periods, evaluates the channel quality of each sub-band in each detection period, and generates channel quality time series data.

[0048] Degradation prediction and parameter adjustment module: Based on the channel quality time series data of each sub-band, extract the degree of channel quality degradation and its frequency of occurrence, predict whether there is a channel quality degradation trend in each sub-band, identify each sub-band as a degraded sub-band or a stable sub-band accordingly, and dynamically adjust the transmission parameters of the degraded sub-band.

[0049] Data transmission degradation assessment module: Based on the transmission parameters after the degradation sub-band is adjusted, predict its effective transmission capacity, compare it with the initial transmission capacity before parameter adjustment, and calculate the reduction in transmission capacity of the degradation sub-band.

[0050] Cross-frequency transmission capacity allocation module: Calculates the remaining transmission capacity of stable sub-bands, and performs cross-frequency band transmission capacity allocation based on the remaining transmission capacity of stable sub-bands, channel quality, and the reduction in transmission capacity of degraded sub-bands.

[0051] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. This invention divides a microwave broadband channel into multiple sub-bands. By monitoring channel characteristic parameters such as signal-to-noise ratio, fading depth, and fading rate of each sub-band, the channel quality of each sub-band is independently evaluated, and the modulation order, coding rate, and transmit power are independently configured for each sub-band. Compared to existing technologies that use the entire broadband channel as the adjustment unit, resulting in wasted spectrum efficiency in high-quality frequency bands or insufficient reliability in low-quality frequency bands, this invention achieves differentiated adaptive transmission at the sub-band level, significantly improving spectrum utilization efficiency under frequency-selective fading environments.

[0052] 2. This invention extracts the degree of channel quality degradation and its frequency of occurrence based on channel quality time-series data of each sub-band over multiple consecutive detection periods, predicts whether there is a channel quality degradation trend in the sub-band, identifies degraded sub-bands in advance, and dynamically adjusts their transmission parameters. Compared with the existing technology that only passively responds after channel quality deteriorates, this invention can perceive the channel quality evolution trend in advance, reducing the risk of transmission interruption caused by passive response.

[0053] 3. This invention calculates the reduction in transmission capacity of degraded sub-bands after transmission parameter adjustments and estimates the remaining transmission capacity of stable sub-bands. Based on the remaining transmission capacity of stable sub-bands and channel quality, the unallocated transmission capacity of degraded sub-bands is migrated across frequency bands to stable sub-bands. Compared to existing technologies that uniformly distribute data across frequency bands, resulting in high bit error rates in degraded bands and idle capacity in high-quality bands, this invention fully utilizes the remaining transmission capacity of high-quality bands, improving overall transmission reliability without increasing total transmit power.

[0054] 4. In the process of cross-band transmission capacity allocation, this invention assesses the priority of each stable sub-band in participating in the allocation based on its remaining transmission capacity and channel quality, and accepts transmission tasks migrated from degraded sub-bands in descending order of priority. This mechanism achieves a reasonable balance between rapidly absorbing migration tasks and ensuring long-term transmission stability, avoiding secondary congestion caused by blind allocation. Attached Figure Description

[0055] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0056] Figure 1 This is a schematic diagram of the method flow of the present invention.

[0057] Figure 2 This is a system module connection diagram of the present invention. Detailed Implementation

[0058] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of the microwave broadband channel adaptive transmission method and system for communication equipment proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0059] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0060] The specific scheme of the microwave broadband channel adaptive transmission method and system for communication equipment provided by the present invention will be described in detail below with reference to the accompanying drawings.

[0061] The purpose of this invention is to provide an adaptive transmission method and system for microwave broadband channels in communication equipment, in order to solve the problems in the prior art where the adaptive adjustment granularity is limited to the overall channel level and cannot cope with frequency selective fading, lack of dynamic scheduling capability for cross-frequency band data load, and passive lag in transmission parameter adjustment. This invention enables independent quality assessment of each sub-band of the microwave broadband channel, differentiated transmission parameter configuration, and dynamic migration of cross-sub-band data load, thereby improving the spectrum utilization efficiency and transmission reliability of the microwave broadband communication system under frequency selective fading environment.

[0062] Please see Figure 1 As shown, an embodiment of the present invention provides a microwave broadband channel adaptive transmission method for communication equipment, including the following steps S1-S4.

[0063] Step S1: Divide the available frequency band of the microwave broadband channel into multiple sub-bands, monitor the channel characteristic parameters of each sub-band in multiple consecutive detection periods, evaluate the channel quality of each sub-band in each detection period, and generate channel quality time series data.

[0064] In a preferred embodiment of the present invention, the method for monitoring the channel characteristic parameters of the sub-frequency band during the detection period in step S1 includes: During the detection period, a detection signal is transmitted to the sub-band, and the received power of the returned signal is continuously sampled at set time intervals to generate a received power sampling sequence.

[0065] The received power sampling sequence is smoothed, and the average power value after smoothing is used as the received power of the return signal. The system equivalent noise power at the receiving end is obtained, and the ratio of the received power of the return signal to the system equivalent noise power is calculated to obtain the signal-to-noise ratio of the sub-band.

[0066] The fading depth of a sub-band is determined by the difference between the maximum and minimum values ​​in the received power sampling sequence.

[0067] The level threshold is determined based on the median of the received power sampling sequence. The number of times the received power crosses the level threshold is counted. The counted number of crossings is divided by the duration of the detection period to obtain the fading rate of the sub-band.

[0068] Based on the signal-to-noise ratio, fading depth, and fading rate of the sub-band, a set of channel characteristic parameters is constructed.

[0069] In one specific embodiment of the present invention, the available frequency band of the microwave broadband channel is divided into multiple sub-bands of the same size according to a fixed frequency width (such as every 1MHz, 5MHz or 10MHz).

[0070] It should be noted that there are three ways to count the number of times the received power crosses the level threshold: first, count the number of positive crossings when the power changes from below the threshold to above the threshold; second, count the number of negative crossings when the power changes from above the threshold to below the threshold; and third, count both positive and negative crossings and take the average.

[0071] In a preferred embodiment of the present invention, the method for evaluating the channel quality of a sub-band during the detection period in step S1 includes: Extract the reference range of channel characteristic parameters for each sub-band from the database to obtain the upper and lower reference values ​​of the channel characteristic parameters.

[0072] Based on the measured values ​​of signal-to-noise ratio, fading depth, and fading rate of the sub-band within the detection period, and their respective reference ranges, the signal-to-noise ratio, fading depth, and fading rate are normalized and mapped to dimensionless values ​​in the range of 0 to 1. The signal-to-noise ratio is mapped in the forward direction, while the fading depth and fading rate are mapped in the reverse direction.

[0073] Based on the three dimensionless values ​​obtained after normalization, and combined with the preset fusion weights of signal-to-noise ratio, fading depth, and fading rate in channel quality assessment, the channel quality of the sub-band during the detection period is calculated through linear weighted fusion analysis.

[0074] It should be noted that the reference range of the channel characteristic parameters of each sub-band is pre-stored in the system database. The method of obtaining the reference range is as follows: in the early stage of system deployment or under the condition that the channel environment is known, the statistical distribution of the channel characteristic parameters of each sub-band under typical working scenarios is determined by offline measurement or theoretical modeling, the mean and standard deviation of each channel characteristic parameter are calculated, and the reference range of the channel characteristic parameters is determined accordingly.

[0075] It should be noted that the purpose of normalization is to map the signal-to-noise ratio, fading depth, and fading rate, which have different dimensions and ranges, to dimensionless values ​​in the range of 0 to 1, so as to facilitate subsequent weighted fusion. Specifically, the signal-to-noise ratio uses a forward mapping, that is, the higher the measured value, the closer the normalized value is to 1, indicating better channel quality; the fading depth uses a reverse mapping, that is, the lower the measured value (shallower the fading), the closer the normalized value is to 1; and the fading rate uses a reverse mapping, that is, the lower the measured value (slower the change), the closer the normalized value is to 1.

[0076] It should be noted that the signal-to-noise ratio (SNR) is positively correlated with channel quality, while the fading depth and fading rate are negatively correlated with channel quality. That is, the higher the SNR, the smaller the fading depth, and the lower the fading rate, the better the channel quality of the sub-band.

[0077] It should be noted that the weights of signal-to-noise ratio (SNR), fading depth, and fading rate in evaluating channel quality are set based on their different contributions to channel transmission capability: SNR directly determines the receiver's basic demodulation performance and is a core indicator of channel usability, thus receiving the highest weight; fading depth reflects the amplitude of sudden power fluctuations caused by multipath effects, and its impact on transmission stability is secondary, hence it receives a medium weight; fading rate characterizes the drastic changes in the channel over time, mainly affecting the response timeliness of adaptive algorithms, and therefore receives a relatively low weight. In typical microwave broadband fixed communication scenarios, the default weight values ​​are: SNR weight 0.50, fading depth weight 0.30, and fading rate weight 0.20, with a sum of 1. Furthermore, these weights can be dynamically adjusted according to the system operating mode or channel environment: when the system is in a high-throughput requirement mode, the weight of SNR should be appropriately increased; when the system is in a strong multipath or mobile scenario, the weight of fading depth should be appropriately increased; when the channel fading rate consistently exceeds a preset threshold, the weight of fading rate should be appropriately increased. The weights are adjusted in preset increments (e.g., 0.05), and the sum of all weights must still be 1 after adjustment.

[0078] It should be noted that, in another specific embodiment, the method for evaluating the channel quality of a sub-band during the detection period is as follows: a signal-to-noise ratio segmented scoring table, a fading depth segmented scoring table, and a fading rate segmented scoring table are pre-established. Each scoring table outputs a score of the same dimension (e.g., 0 to 10 points). Based on the measured values ​​of the signal-to-noise ratio, fading depth, and fading rate of the sub-band during the detection period, the three scores are obtained by looking up the tables respectively, and then a weighted sum is performed to obtain a dimensionless comprehensive score of channel quality.

[0079] Step S2: Based on the channel quality time series data of each sub-band, extract the degree of channel quality degradation and its frequency of occurrence, predict whether there is a channel quality degradation trend in each sub-band, identify each sub-band as a degraded sub-band or a stable sub-band accordingly, and dynamically adjust the transmission parameters of the degraded sub-band.

[0080] In a preferred embodiment of the present invention, the method for extracting the degree of channel quality degradation and its frequency of occurrence in step S2 includes: Using the detection period number as the horizontal axis and the channel quality value as the vertical axis, a channel quality change trend curve is plotted based on the channel quality time series data of the sub-band.

[0081] Based on the preset channel quality threshold, a channel quality baseline is determined in the channel quality change trend curve.

[0082] Identify all data points on the channel quality change trend curve that are below the baseline and mark them as degraded data points. Calculate the distance between each degraded data point and the baseline and take the maximum value of the calculated distance as the degree of channel quality degradation.

[0083] Extract the discrete curve segments below the baseline in the channel quality change trend curve, count the number of discrete curve segments, and use this number as the frequency of channel quality degradation.

[0084] It should be noted that the channel quality threshold is used to define the normal fluctuation range and degradation state of channel quality in the channel quality change trend curve. Its setting is based on statistical analysis of historical channel quality data: the system collects channel quality values ​​over multiple consecutive detection periods under stable operating conditions and calculates their average. with standard deviation The channel quality threshold is initially set to ,in This is a preset coefficient (usually between 1.0 and 1.5) that defines a statistically significant degradation event when the channel quality falls below a certain threshold. In a typical microwave broadband fixed communication scenario, if the historical channel quality mean is 0.75 and the standard deviation is 0.10, and... If we take 1.2, then the channel quality threshold example is 0.63, meaning that a channel quality below 0.63 is considered a degraded state. Furthermore, this threshold can be dynamically adjusted according to changes in the channel environment: when the proportion of degraded data points exceeds a preset ratio (e.g., 30%) for multiple consecutive detection cycles, it indicates a decline in overall channel quality, and the threshold should be appropriately lowered to avoid oversensitivity; conversely, when the channel quality is stable for a long period without degraded events, the threshold can be appropriately increased to enhance the detection sensitivity for minor degrades. The threshold adjustment is done in preset step sizes (e.g., 0.01 to 0.05), and the adjusted threshold must remain within a preset upper and lower limit range (e.g., 0.50 to 0.85) to ensure the rationality and stability of degrade identification.

[0085] In a preferred embodiment of the present invention, the method for predicting whether there is a channel quality degradation trend in the sub-frequency band and identifying its type in step S2 includes: The degree of channel quality degradation is compared with a preset degradation threshold, and the frequency of channel quality degradation is compared with a preset allowable upper limit.

[0086] If the degree of degradation is greater than the degradation threshold and the frequency of degradation is greater than the allowable upper limit, then the sub-band is determined to have a channel quality degradation trend and is marked as a degraded sub-band.

[0087] Otherwise, if no channel quality degradation trend is found in the sub-band, it is determined that the sub-band is a stable sub-band.

[0088] It should be noted that the degradation severity threshold and the allowable upper limit for degradation frequency are used together to determine whether there is a channel quality degradation trend in the sub-band. The degradation severity threshold defines the severity of a single degradation event, while the allowable upper limit for degradation frequency defines the tolerable frequency of degradation events. The basis for setting both is the offline or online analysis of the statistical characteristics of channel quality in the target communication scenario: collecting channel quality time-series data of the system under typical operating conditions, extracting the degradation severity and degradation frequency in each historical time window, calculating their statistical distribution, setting the degradation severity threshold to the P1 quantile (e.g., the 80th percentile) of the historical degradation severity mean, and setting the allowable upper limit for degradation frequency to the P2 quantile (e.g., the 75th percentile) of the historical degradation frequency mean, so that events that exceed both simultaneously correspond to a significant degradation trend that requires adjustment of transmission parameters. In a typical microwave broadband fixed communication scenario, if the historical average degradation level is 0.15 and the 80th percentile is 0.25, then the degradation level threshold is set to 0.25. If the historical average degradation frequency is 2 times per 100 detection cycles and the 75th percentile is 4 times, then the upper limit of the allowed degradation frequency is set to 4 times. Furthermore, these two thresholds can be dynamically adjusted according to the balance between the system's false detection rate and false negative rate: when the system frequently misclassifies stable sub-bands as degraded sub-bands (i.e., the false detection rate is too high), the degradation level threshold or the upper limit of the allowed degradation frequency should be appropriately increased; conversely, when the system fails to identify the actual degraded sub-bands in a timely manner (i.e., the false negative rate is too high), one of the two thresholds should be appropriately decreased, or both should be decreased simultaneously. The adjustment range is made in preset step sizes (e.g., the degradation threshold is adjusted in steps of 0.01 to 0.05, and the maximum allowable frequency of degradation is adjusted in steps of 1 time). The adjusted thresholds must be kept within preset effective ranges (e.g., the degradation threshold is between 0.10 and 0.50, and the maximum allowable frequency of degradation is between 1 time and 10 times) to ensure the robustness and adaptability of degradation trend detection.

[0089] In a preferred embodiment of the present invention, the method for dynamically adjusting the transmission parameters of the degraded sub-band in step S2 includes: Based on the degree of channel quality degradation of the degraded sub-band and according to the preset modulation and coding scheme mapping table, the modulation order and coding rate of the degraded sub-band are reduced in stages. The modulation and coding scheme mapping table records the correspondence between different channel quality degradation ranges and modulation and coding scheme index values.

[0090] After reducing the modulation order and coding rate, the channel quality of the degraded sub-band is monitored, and it is determined whether it has improved to the standard of the stable sub-band.

[0091] If the standard for a stable sub-band has been achieved, then the adjustment of transmission parameters for the degraded sub-band is terminated.

[0092] If the channel quality of the degraded sub-band is not improved to the standard of a stable sub-band, the transmission power of the degraded sub-band will be gradually increased according to the preset maximum allowable transmission power increment for a single adjustment until the channel quality of the degraded sub-band is improved to the standard of a stable sub-band, or the increased transmission power reaches the preset transmission power limit.

[0093] It should be noted that the higher the degree of channel quality degradation in a degraded sub-band, the lower the corresponding modulation order and coding rate.

[0094] It should be noted that the setting of the maximum allowable increment of transmit power in a single adjustment is based on constraints including the linearity of the power amplifier, the total system power budget, and the timeliness and stability requirements of channel quality feedback. In other words, this increment must ensure that the power amplifier does not enter the nonlinear saturation region, the total system transmit power does not exceed the budget limit, and that a large single increment avoids channel quality overshoot, leading to repeated adjustments. In typical microwave broadband communication scenarios, the default value is 2dB. In rapidly changing scenarios, this can be increased to 3dB to accelerate response, while in power-constrained scenarios, it is reduced to 1dB to strictly control power consumption.

[0095] It should be noted that the upper limit of transmit power is set based on factors including equipment hardware safety limitations, spectrum management regulations and electromagnetic compatibility requirements, as well as constraints on co-channel interference and network coexistence in multi-node networks. Specifically, this upper limit must not exceed the maximum continuous output capability of the power amplifier and the regulatory limit for the frequency band in which it is located. Furthermore, it should be reduced in dense deployments to minimize adjacent-channel interference. In a typical configuration, if the maximum single-channel capability of the device is +30dBm and the corresponding regulatory limit is +15dBm, then +15dBm is used in isolated deployment scenarios, and can be further reduced to +10dBm in dense network scenarios.

[0096] It should be noted that if the channel quality of a degraded sub-band still does not improve to the standard of a stable sub-band after the transmit power of the degraded sub-band is increased to the preset transmit power limit, the degraded sub-band will be marked as an unusable sub-band, data transmission on it will be suspended, and the transmission tasks originally allocated to the degraded sub-band will be migrated to other stable sub-bands.

[0097] Step S3: Based on the transmission parameters adjusted for the degraded sub-band, predict its effective transmission capacity and compare it with the initial transmission capacity before parameter adjustment to calculate the reduction in transmission capacity of the degraded sub-band.

[0098] In a preferred embodiment of the present invention, the method for calculating the reduction in transmission capacity of the degraded sub-band in step S3 includes: Monitor the channel characteristic parameters of the degraded sub-band after the transmission parameters are adjusted, and retrieve historical communication transmission conditions with the same or similar channel characteristic parameters from the database. Use the upper limit of the transmission capacity in the historical communication transmission conditions as the upper limit of the transmission capacity of the degraded sub-band.

[0099] Based on the transmission parameters adjusted by the degraded sub-band, and combined with the transmission capacity utilization corresponding to different preset combinations of transmission parameters, the transmission capacity utilization rate of the degraded sub-band is determined.

[0100] Based on the upper limit of the transmission capacity and the transmission capacity utilization rate of the degraded sub-band, the effective transmission capacity of the degraded sub-band after the transmission parameters are adjusted is calculated, and the effective transmission capacity is compared with the initial transmission capacity before the parameter adjustment to determine the amount of transmission capacity reduction of the degraded sub-band.

[0101] It should be noted that the system pre-builds and continuously updates a historical communication transmission condition database, where each record contains a set of channel characteristic parameters and their corresponding transmission capacity limit. When historical conditions need to be retrieved for the current degraded sub-band, the system extracts the adjusted channel characteristic parameter vector and calculates its weighted similarity with each historical condition record in the database, where the weighting coefficient is consistent with the fusion weight in channel quality assessment. The system presets a similarity threshold (e.g., 0.85), and historical conditions with a weighted similarity greater than or equal to this threshold are judged as similar conditions. If multiple similar records are retrieved, the transmission capacity limit corresponding to the one with the highest similarity is selected as the transmission capacity limit of the current degraded sub-band. If no similar conditions that meet the criteria are retrieved, the system temporarily does not rely on historical data, but instead uses a capacity estimation model based on channel characteristic parameter fitting as an alternative, or waits for sufficient data to accumulate in subsequent detection cycles before performing the calculation.

[0102] It should be noted that transmission capacity utilization is defined as the ratio of the actual achievable effective transmission capacity under given channel conditions and a specific combination of transmission parameters to the theoretical upper limit of transmission capacity under those channel conditions. The system obtains this utilization rate through a combination of offline calibration and online adaptive updates: In the offline calibration phase, the system sequentially tests each preset combination of transmission parameters under typical channel conditions in a standard test environment, measures the actual throughput, and calculates its ratio to the theoretical upper limit of capacity. The results are pre-stored in the system in the form of a lookup table. In the online operation phase, the system continuously verifies the used transmission parameter combinations. When a degraded sub-band stabilizes after adjustment, the ratio of its actual effective transmission capacity to the theoretical upper limit of capacity is recorded and compared with the preset utilization rate in the lookup table. If the deviation exceeds a preset error threshold, the utilization rate is smoothly updated using an exponentially weighted moving average method, allowing the utilization rate lookup table to adaptively adjust to factors such as the actual channel environment and equipment aging.

[0103] It should be noted that the initial transmission capacity before transmission parameter adjustment refers to the effective transmission capacity of the degraded sub-band in its original state before any transmission parameter adjustment. The system obtains this capacity using one of two methods: First, direct acquisition based on historical records. At the end of each detection cycle, the system calculates and stores the effective transmission capacity of each sub-band under the current transmission parameters. When a sub-band is identified as a degraded sub-band, the system directly retrieves the effective transmission capacity record of that sub-band in the most recent complete detection cycle from the database as the initial transmission capacity. Second, acquisition based on channel quality estimation before adjustment. If the system fails to retain historical capacity records due to faults or storage resource limitations, the system extracts the channel characteristic parameters of the degraded sub-band before adjustment, retrieves similar historical communication transmission conditions from the database to obtain the upper limit of the transmission capacity, and then, based on the modulation order and coding rate used before adjustment, multiplies the upper limit of the transmission capacity by the corresponding utilization rate using the aforementioned transmission capacity utilization lookup table to calculate the initial transmission capacity. Of the two methods, direct acquisition based on historical records has higher accuracy and is preferred by the system.

[0104] Step S4: Calculate the remaining transmission capacity of the stable sub-band, and perform cross-band transmission capacity allocation based on the remaining transmission capacity of the stable sub-band, channel quality, and the reduction in transmission capacity of the degraded sub-band.

[0105] In a preferred embodiment of the present invention, step S4 includes: S41. Sort each degraded sub-band in descending order of its transmission capacity reduction to generate an analysis sequence of degraded sub-bands, and record the transmission capacity reduction of each degraded sub-band as the transmission capacity to be allocated.

[0106] S42. Obtain the effective transmission capacity of each stable sub-band, and calculate the remaining transmission capacity of each stable sub-band in combination with its load.

[0107] The average value of the channel quality time series data for each stable sub-band is taken as its channel quality.

[0108] Based on the remaining transmission capacity and channel quality of each stable sub-band, the priority of each stable sub-band in participating in transmission capacity allocation is evaluated, and they are sorted in descending order of priority to generate a stable sub-band allocation sequence.

[0109] S43. For the degraded sub-band that ranks first in the analysis sequence, perform cross-band transmission capacity allocation.

[0110] S44. Update the allocation sequence of stable sub-bands and the remaining transmission capacity of each stable sub-band.

[0111] S45. Following the analysis process of step S43, perform cross-band transmission capacity allocation on the second-ranked degraded sub-band in the analysis sequence, and sequentially traverse all degraded sub-bands in the analysis sequence.

[0112] In a preferred embodiment of the present invention, the process of performing cross-band transmission capacity allocation in step S43 includes: The unallocated transmission capacity of the degraded subband at the top of the order is transferred to the stable subband at the top of the order in the allocation sequence.

[0113] Compare the transmission capacity to be allocated with the remaining transmission capacity of the first-ranked stable sub-band.

[0114] If the transmission capacity to be allocated is less than or equal to the remaining transmission capacity, then the transmission capacity allocation for the degraded sub-band is completed.

[0115] If the transmission capacity to be allocated is greater than the remaining transmission capacity, then the remaining amount after deducting the remaining transmission capacity from the transmission capacity to be allocated is calculated, and the remaining amount is migrated to the second stable sub-band in the allocation sequence.

[0116] This process continues until the allocated transmission capacity of the first-ranked degraded sub-band is completely migrated.

[0117] It should be noted that if the transmission capacity reduction of a certain degraded sub-band is less than or equal to 0, then the degraded sub-band will not participate in cross-band capacity allocation.

[0118] It should be noted that the method for calculating the effective transmission capacity of stable sub-bands is based on the same principle as the method for calculating the effective transmission capacity of degraded sub-bands.

[0119] It should be noted that the method for calculating the remaining transmission capacity of each stable sub-band is as follows: The system first obtains the effective transmission capacity of each stable sub-band during the current detection period. This effective transmission capacity is the actual achievable throughput calculated based on the channel quality, the currently used modulation and coding scheme, and the transmit power of the stable sub-band, combined with the transmission capacity utilization rate. Simultaneously, the system monitors the service load already carried on each stable sub-band. This load includes the transmission capacity occupied by allocated user data streams, control signaling, and retransmission data. Then, the system subtracts the current service load from the effective transmission capacity of the stable sub-band to obtain its remaining transmission capacity. If the effective transmission capacity of a stable sub-band is less than its current service load, i.e., it is overloaded, its remaining transmission capacity is recorded as zero, and it is placed at the end of the subsequent priority ranking, not participating in capacity allocation. Other stable sub-bands with positive remaining capacity are given priority in undertaking transmission tasks migrated from degraded sub-bands. In addition, after each cross-band transmission capacity allocation, the system dynamically updates the remaining transmission capacity of the affected stable sub-bands. Specifically, when a stable sub-band takes over the transmission capacity to be allocated from the degraded sub-band, the system subtracts the taken-over capacity from the remaining transmission capacity of the stable sub-band and uses the updated remaining transmission capacity as the basis for subsequent allocation operations, ensuring that the remaining capacity information of each stable sub-band in the allocation sequence remains accurate in real time.

[0120] It should be noted that the specific method for evaluating the priority of each stable sub-band in transmission capacity allocation is as follows: The stable sub-bands are sorted in descending order of remaining transmission capacity to construct a capacity-priority sequence.

[0121] At the same time, the stable sub-bands are sorted in order of channel quality from high to low to construct a quality priority sequence.

[0122] Extract the position number of each stable sub-band in the capacity priority sequence and the quality priority sequence respectively, and calculate the final position number of the stable sub-band by weighting and summing the two extracted position numbers according to the preset remaining transmission capacity weight and channel quality weight.

[0123] The stable sub-bands are sorted in ascending order of their final ranking number to assess their priority in transmission capacity allocation. The smaller the final ranking number, the higher the priority.

[0124] It should be noted that the remaining transmission capacity weight and channel quality weight are used to balance the influence of remaining transmission capacity and channel quality on the priority ranking when evaluating the priority of stable sub-bands participating in transmission capacity allocation. The basis for setting them is that: the remaining transmission capacity reflects the actual ability of the stable sub-band to carry additional transmission tasks at present, and is a direct manifestation of the feasibility of allocation, while the channel quality reflects the potential reliability of the stable sub-band to maintain stable transmission in the future, and is an important guarantee for the overall transmission stability after allocation; in typical microwave broadband communication scenarios, since the primary goal of cross-band transmission capacity allocation is to quickly absorb the transmission capacity to be allocated from degraded sub-bands, the immediate availability of the remaining transmission capacity is more decisive than the long-term stability of the channel quality. Therefore, the remaining transmission capacity weight is set to be greater than the channel quality weight by default. For example, the remaining transmission capacity weight is 0.7 and the channel quality weight is 0.3, and the sum of the two is 1. Furthermore, the aforementioned weights can be dynamically adjusted based on the system's current operational objectives: when the system is under high load and urgently needs to absorb a large number of migration tasks, the remaining transmission capacity weight is further increased to prioritize capacity carrying capacity; when the system load is relatively light and more attention is paid to transmission stability, the channel quality weight is appropriately increased to prioritize the allocation of migration tasks to stable sub-bands with better channel quality; when the system continuously detects a synchronous downward trend in the channel quality of multiple stable sub-bands, the channel quality weight can be appropriately reduced to avoid drastic changes in priority ranking due to channel quality fluctuations. Weight adjustments are made in preset step sizes (e.g., 0.05), and the sum of the two weights must still be 1 after adjustment. Additionally, the value of any weight is typically controlled between 0.5 and 0.9 (remaining transmission capacity weight) or between 0.1 and 0.5 (channel quality weight) to avoid extreme weight allocation leading to an imbalance in priority assessment.

[0125] It should be noted that when multiple degraded sub-bands need to be migrated at the same time, they are migrated sequentially according to the degree of degradation or the amount of degradation, and the remaining transmission capacity is updated after each migration.

[0126] This embodiment uses a typical microwave broadband fixed communication scenario as an example to demonstrate the specific implementation process of the microwave broadband channel adaptive transmission method for communication equipment provided by this invention. The parameter values ​​in this embodiment (such as bandwidth, detection period, threshold, weight, etc.) are merely illustrative and do not constitute a limitation on the scope of protection of this invention.

[0127] F1. System parameters: 100MHz frequency band, 10 sub-bands, detection period 1s.

[0128] F2. Channel quality time series data for 10 consecutive cycles in a certain sub-band: 0.78, 0.76, 0.72, 0.68, 0.64, 0.60, 0.62, 0.58, 0.55, 0.52.

[0129] F3, Channel Quality Threshold: 0.63.

[0130] F4. Deterioration Calculation: The difference between the maximum value and the baseline value of 0.63 is 0.11.

[0131] F5, Frequency of degradation: 4 times.

[0132] F6, Degradation threshold: 0.10, maximum allowable number of times: 3 times → judged as a degraded sub-band.

[0133] F7. Parameter adjustment: The MCS (Modulation and Coding Scheme) is reduced from 64QAM5 / 6 to QPSK1 / 2, and the transmit power is increased by 2dB.

[0134] F8. Capacity reduction calculation: From 80Mbps to 25Mbps, a decrease of 55Mbps.

[0135] F9. Cross-band allocation: Stable sub-band A has a remaining capacity of 30Mbps and sub-band B has a remaining capacity of 40Mbps. The allocation is based on priority, with A ultimately receiving 30Mbps and B receiving 25Mbps.

[0136] F10: Update remaining capacity after allocation.

[0137] See Figure 2 As shown, an embodiment of the present invention provides a microwave broadband channel adaptive transmission system for communication equipment, including a channel partitioning and quality monitoring module, a degradation prediction and parameter adjustment module, a data transmission weakening assessment module, and an inter-frequency transmission capacity allocation module.

[0138] The degradation prediction and parameter adjustment module is connected to the channel division and quality monitoring module and the data transmission weakening assessment module, respectively, and the cross-frequency transmission capacity allocation module is connected to the data transmission weakening assessment module.

[0139] The channel partitioning and quality monitoring module is used to divide the available frequency band of the microwave broadband channel into multiple sub-bands, monitor the channel characteristic parameters of each sub-band in multiple consecutive detection periods, evaluate the channel quality of each sub-band in each detection period, and generate channel quality time series data.

[0140] The degradation prediction and parameter adjustment module is used to extract the degree of channel quality degradation and its frequency of occurrence based on the channel quality time series data of each sub-band, predict whether there is a channel quality degradation trend in each sub-band, identify each sub-band as a degraded sub-band or a stable sub-band accordingly, and dynamically adjust the transmission parameters of the degraded sub-band.

[0141] The data transmission degradation assessment module is used to predict the effective transmission capacity of the degraded sub-band based on the adjusted transmission parameters, compare it with the initial transmission capacity before parameter adjustment, and calculate the reduction in transmission capacity of the degraded sub-band.

[0142] The cross-frequency transmission capacity allocation module is used to calculate the remaining transmission capacity of the stable sub-bands and perform cross-frequency band transmission capacity allocation based on the remaining transmission capacity of the stable sub-bands, channel quality, and the reduction in transmission capacity of the degraded sub-bands.

[0143] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0144] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

[0145] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to interchangeably. The focus of each embodiment is on its differences from other embodiments. In particular, the apparatus embodiments are described simply because they are fundamentally based on the method embodiments; relevant details can be found in the descriptions of the method embodiments.

[0146] For ease of description, the above devices are described separately by function as various units. Of course, in implementing this application, the functions of each unit can be implemented in one or more software and / or hardware.

[0147] 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.

[0148] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, 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 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0149] 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.

[0150] 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.

[0151] Secondly, the accompanying drawings of the embodiments disclosed in this invention only involve structures related to the embodiments disclosed in this invention. Other structures can refer to general designs. In the absence of conflict, the same embodiment and different embodiments of this invention can be combined with each other.

[0152] Finally, the above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A method for adaptive transmission of microwave broadband channels in communication equipment, characterized in that, Includes the following steps: S1. Divide the available frequency band of the microwave broadband channel into multiple sub-bands, monitor the channel characteristic parameters of each sub-band in multiple consecutive detection periods, evaluate the channel quality of each sub-band in each detection period, and generate channel quality time series data. S2. Based on the channel quality time series data of each sub-band, extract the degree of channel quality degradation and its frequency of occurrence, predict whether there is a channel quality degradation trend in each sub-band, identify each sub-band as a degraded sub-band or a stable sub-band accordingly, and dynamically adjust the transmission parameters of the degraded sub-band. S3. Based on the transmission parameters after the degradation sub-band is adjusted, predict its effective transmission capacity and compare it with the initial transmission capacity before parameter adjustment to calculate the reduction in transmission capacity of the degradation sub-band. S4. Calculate the remaining transmission capacity of the stable sub-bands, and perform cross-band transmission capacity allocation based on the remaining transmission capacity of the stable sub-bands, channel quality, and the reduction in transmission capacity of the degraded sub-bands.

2. The adaptive transmission method for microwave broadband channels in communication equipment according to claim 1, characterized in that, Methods for monitoring channel characteristic parameters of sub-bands during the detection period include: During the detection period, a detection signal is transmitted to the sub-band, and the received power of the returned signal is continuously sampled at set time intervals to generate a received power sampling sequence. The received power sampling sequence is smoothed, and the average power value after smoothing is used as the received power of the return signal. The system equivalent noise power at the receiving end is obtained, and the ratio of the received power of the return signal to the system equivalent noise power is calculated to obtain the signal-to-noise ratio of the sub-band. The fading depth of the sub-band is determined based on the difference between the maximum and minimum values ​​in the received power sampling sequence. The level threshold is determined based on the median of the received power sampling sequence. The number of times the received power crosses the level threshold is counted. The counted number of crossings is divided by the duration of the detection period to obtain the fading rate of the sub-band. Based on the signal-to-noise ratio, fading depth, and fading rate of the sub-band, a set of channel characteristic parameters is constructed.

3. The adaptive transmission method for microwave broadband channels in communication equipment according to claim 2, characterized in that, Methods for evaluating the channel quality of a sub-band during the detection period include: Extract the reference range of channel characteristic parameters for each sub-band from the database to obtain the upper and lower reference values ​​of the channel characteristic parameters; Based on the measured values ​​of signal-to-noise ratio, fading depth, and fading rate of the sub-band within the detection period, and their respective reference ranges, the signal-to-noise ratio, fading depth, and fading rate are normalized and mapped to dimensionless values ​​in the range of 0 to 1. The signal-to-noise ratio is mapped in the forward direction, while the fading depth and fading rate are mapped in the reverse direction. Based on the three dimensionless values ​​obtained after normalization, and combined with the preset fusion weights of signal-to-noise ratio, fading depth, and fading rate in channel quality assessment, the channel quality of the sub-band during the detection period is calculated through linear weighted fusion analysis.

4. The adaptive transmission method for microwave broadband channels in communication equipment according to claim 1, characterized in that, Methods for extracting the degree of channel quality degradation and its frequency of occurrence include: Using the detection period number as the horizontal axis and the channel quality value as the vertical axis, a channel quality change trend curve is plotted based on the channel quality time series data of the sub-band. Based on the preset channel quality threshold, a channel quality baseline is determined in the channel quality change trend curve; Identify all data points on the channel quality change trend curve that are below the baseline level and record them as degraded data points. Calculate the distance between each degraded data point and the baseline level and take the maximum value of the calculated distance as the degree of channel quality degradation. Extract the discrete curve segments below the baseline in the channel quality change trend curve, count the number of discrete curve segments, and use this number as the frequency of channel quality degradation.

5. The adaptive transmission method for microwave broadband channels in communication equipment according to claim 1, characterized in that, Methods for predicting and identifying the type of channel quality degradation trend in sub-bands include: The degree of channel quality degradation is compared with a preset degradation threshold, and the frequency of channel quality degradation is compared with a preset allowable upper limit. If the degree of degradation is greater than the degradation threshold and the frequency of degradation is greater than the allowable upper limit, then the sub-band is determined to have a channel quality degradation trend and is marked as a degraded sub-band. Otherwise, if no channel quality degradation trend is found in the sub-band, it is determined that the sub-band is a stable sub-band.

6. The adaptive transmission method for microwave broadband channels in communication equipment according to claim 1, characterized in that, Methods for dynamically adjusting the transmission parameters of degraded sub-bands include: Based on the degree of channel quality degradation of the degraded sub-band and according to the preset modulation and coding scheme mapping table, the modulation order and coding rate of the degraded sub-band are reduced in stages. The modulation and coding scheme mapping table records the correspondence between different channel quality degradation ranges and modulation and coding scheme index values. After reducing the modulation order and coding rate, monitor the channel quality of the degraded sub-band and determine whether it has improved to the standard of the stable sub-band. If the standard for a stable sub-band has been achieved, then the adjustment of transmission parameters for the degraded sub-band is terminated. If the channel quality of the degraded sub-band is not improved to the standard of a stable sub-band, the transmission power of the degraded sub-band will be gradually increased according to the preset maximum allowable transmission power increment for a single adjustment until the channel quality of the degraded sub-band is improved to the standard of a stable sub-band, or the increased transmission power reaches the preset transmission power limit.

7. The adaptive transmission method for microwave broadband channels in communication equipment according to claim 1, characterized in that, Methods for calculating the reduction in transmission capacity of degraded subbands include: Monitor the channel characteristic parameters of the degraded sub-band after the transmission parameters are adjusted, and retrieve historical communication transmission conditions that are the same or similar to the channel characteristic parameters from the database. Use the upper limit of the transmission capacity in the historical communication transmission conditions as the upper limit of the transmission capacity of the degraded sub-band. Based on the transmission parameters adjusted by the degraded sub-band, and combined with the transmission capacity utilization corresponding to different preset combinations of transmission parameters, the transmission capacity utilization of the degraded sub-band is determined. Based on the upper limit of the transmission capacity and the transmission capacity utilization rate of the degraded sub-band, the effective transmission capacity of the degraded sub-band after the transmission parameters are adjusted is calculated, and the effective transmission capacity is compared with the initial transmission capacity before the parameter adjustment to determine the amount of transmission capacity reduction of the degraded sub-band.

8. The adaptive transmission method for microwave broadband channels in communication equipment according to claim 1, characterized in that, Step S4 includes: S41. Sort each degraded sub-band in descending order of its transmission capacity reduction to generate an analysis sequence of degraded sub-bands, and record the transmission capacity reduction of each degraded sub-band as the transmission capacity to be allocated. S42. Obtain the effective transmission capacity of each stable sub-band, and calculate the remaining transmission capacity of each stable sub-band in combination with its load. The average value of the channel quality time series data of each stable sub-band is taken as its channel quality; Based on the remaining transmission capacity and channel quality of each stable sub-band, the priority of each stable sub-band in participating in transmission capacity allocation is evaluated, and they are sorted in descending order of priority to generate a stable sub-band allocation sequence. S43. For the degraded sub-band that ranks first in the analysis sequence, perform cross-band transmission capacity allocation; S44. Update the allocation sequence of stable sub-bands and the remaining transmission capacity of each stable sub-band; S45. Following the analysis process of step S43, perform cross-band transmission capacity allocation on the second-ranked degraded sub-band in the analysis sequence, and sequentially traverse all degraded sub-bands in the analysis sequence.

9. The adaptive transmission method for microwave broadband channels in communication equipment according to claim 8, characterized in that, The process of performing cross-band transmission capacity allocation in step S43 includes: The unallocated transmission capacity of the degraded sub-band at the top of the order is transferred to the stable sub-band at the top of the order in the allocation sequence; Compare the transmission capacity to be allocated with the remaining transmission capacity of the first-ranked stable sub-band; If the transmission capacity to be allocated is less than or equal to the remaining transmission capacity, then the transmission capacity allocation for the degraded sub-band is completed. If the transmission capacity to be allocated is greater than the remaining transmission capacity, then the remaining amount after deducting the remaining transmission capacity from the transmission capacity to be allocated is calculated, and the remaining amount is migrated to the second stable sub-band in the allocation sequence. This process continues until the allocated transmission capacity of the first-ranked degraded sub-band is completely migrated.

10. A microwave broadband channel adaptive transmission system for communication equipment, characterized in that, include: Channel partitioning and quality monitoring module: Divides the available frequency band of the microwave broadband channel into multiple sub-bands, monitors the channel characteristic parameters of each sub-band in multiple consecutive detection periods, evaluates the channel quality of each sub-band in each detection period, and generates channel quality time series data. Degradation prediction and parameter adjustment module: Based on the channel quality time series data of each sub-band, extract the degree of channel quality degradation and its frequency of occurrence, predict whether there is a channel quality degradation trend in each sub-band, identify each sub-band as a degraded sub-band or a stable sub-band accordingly, and dynamically adjust the transmission parameters of the degraded sub-band. Data transmission degradation assessment module: Based on the transmission parameters after the degradation sub-band is adjusted, predict its effective transmission capacity, compare it with the initial transmission capacity before parameter adjustment, and calculate the reduction in transmission capacity of the degradation sub-band. Cross-frequency transmission capacity allocation module: Calculates the remaining transmission capacity of stable sub-bands, and performs cross-frequency band transmission capacity allocation based on the remaining transmission capacity of stable sub-bands, channel quality, and the reduction in transmission capacity of degraded sub-bands.

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