A Wireless Communication Method Based on Repeater Noise Floor Optimization

Abstract

This invention discloses a method for intelligently optimizing the noise floor of a repeater-based wireless communication system. The invention relates to the field of communication technology. First, it acquires the repeater to be optimized, determines its test input power using a preset test input signal, then obtains the allowable gain range and iterates through the gain operations, simultaneously recording the test output power and signal-to-noise ratio (SNR) to construct a sequence. Next, it constructs a change curve based on the sequence, extracts the effective portion to determine the optimal gain range, and then summarizes the optimal gain ranges corresponding to different test input powers to generate an adjustment table. It monitors the actual input power in real time to match the gain and execute operations, while continuously monitoring the output SNR. When the SNR falls below a threshold, an update process is triggered, aiming to optimize the repeater's noise floor and improve wireless communication performance.

Description

Technical Field

[0001] This invention belongs to the field of communication technology, specifically relating to a method for intelligent optimization of noise floor in wireless communication based on repeaters. Background Technology

[0002] With the rapid economic development and booming industries, information exchange has exploded, leading to an increasingly strong reliance on wireless communication. From bustling cities to remote villages, wireless communication networks are ubiquitous, becoming an indispensable cornerstone of social operation.

[0003] In the field of wireless communication, repeater optimization has always been a key aspect of improving signal quality. However, existing technologies have several limitations in repeater gain adjustment. Traditional methods often rely on fixed gain settings or empirical threshold adjustments, which are ill-suited to complex and variable input power environments, leading to unstable output power and poor signal-to-noise ratio (SNR) optimization. For example, when the input signal strength fluctuates, a fixed gain may cause the output power to exceed the allowable range or the SNR to decrease, affecting communication quality. Simple segmented gain adjustments, lacking detailed analysis of the gain-SNR relationship, often result in inaccurate gain matching under different input power levels. Furthermore, existing technologies often focus on manual or semi-automatic adjustments, resulting in low real-time performance and automation, failing to respond promptly to changes in input power and easily missing optimal gain adjustment opportunities. Regarding monitoring and updating mechanisms, existing technologies often only perform simple SNR monitoring, lacking effective adaptive update strategies. Once the communication environment changes or the SNR decreases, automatic gain optimization is difficult, requiring manual intervention, increasing maintenance costs and complexity.

[0004] To address the aforementioned issues, this invention proposes a noise floor intelligent optimization wireless communication method based on repeaters. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a wireless communication method for intelligent noise floor optimization based on repeaters, which solves the problem that existing technologies cannot adaptively adjust the gain to achieve the best signal-to-noise ratio and have poor noise floor suppression effects during repeater signal transmission.

[0006] The objective of this invention can be achieved through the following technical solutions:

[0007] A wireless communication method based on repeater-based intelligent noise floor optimization, comprising the following:

[0008] Step 1: Obtain any repeater to be optimized, and use the preset test input signal to test the repeater to be optimized, and determine the test input power associated with the test input signal in real time;

[0009] Step 2: Obtain the gain allowable range associated with the repeater to be optimized, traverse each gain in the gain allowable range, and perform gain operation on the test input power in turn;

[0010] The test output power and its associated signal-to-noise ratio obtained from the corresponding gain operation are recorded synchronously, and the test output power sequence and signal-to-noise ratio sequence are constructed respectively.

[0011] Step 3: Based on the determined test output power sequence and signal-to-noise ratio sequence, construct the test output power change curve and the signal-to-noise ratio change curve. Based on this, the minimum output power constraint of the repeater to be optimized is determined, and the effective part of the output power change curve and the signal-to-noise ratio change curve is extracted.

[0012] By mapping the effective portion of the determined output power change curve and signal-to-noise ratio change curve to the allowable gain range, the optimal gain range associated with the corresponding test input power is further determined.

[0013] Step 4: Determine the optimal gain range corresponding to different test input powers, summarize the correspondence between all test input powers and their optimal gain ranges, and generate an input power-optimal gain adjustment table;

[0014] Step 5: Monitor the actual input power of the repeater to be optimized in real time, match it with the optimal gain range, and perform gain operation;

[0015] The output signal-to-noise ratio is continuously monitored, and an update process is triggered when it falls below a preset signal-to-noise ratio threshold.

[0016] As a further aspect of the present invention, the specific method for determining the test input power associated with the test input signal in real time in step one is as follows:

[0017] Get any repeater to be optimized, as determined by the operator, and denote it as A;

[0018] Acquire the test input signals preset by the operator;

[0019] The test input power associated with the test input signal is determined in real time and denoted as TIP;

[0020] The maximum value of the test input power of the test input signal TIP is TIP_max, and the minimum value is TIP_min, where TIP_max and TIP_min are preset values ​​by the operator.

[0021] As a further aspect of the present invention, the specific method for constructing the test output power sequence and signal-to-noise ratio sequence in step two is as follows:

[0022] S31. Obtain the gain allowable interval [GN_1,GN_j] associated with the repeater A to be optimized;

[0023] There are j different gain values ​​in the gain allowable interval [GN_1, GN_j], where j is a value preset by the operator;

[0024] S32. Obtain the test input power TIP, adjust the gain of the repeater A to be optimized to the minimum value GN_1 in the gain allowable range [GN_1,GN_j], and perform gain operation on the test input power TIP;

[0025] S33. Determine the test output signal and test output power obtained after the gain operation, and record the test output power as TOP_1;

[0026] S34. Adjust the gain to the next gain value GN_2 in the gain allowable interval [GN_1, GN_j] of the minimum gain GN_1, and determine the test output power obtained after the gain operation, denoted as TOP_2;

[0027] S35. Repeat step S34 to determine the test output power associated with each of the j different gain values ​​in the gain allowable interval [GN_1, GN_j], and record them as the test output power sequence TOP_1, TOP_2, ..., TOP_j in ascending order of gain value;

[0028] S36. Obtain any one of the test output powers from TOP_1, TOP_2, ..., TOP_j, and denote it as TOP_i;

[0029] Determine the signal-to-noise ratio of TOP_i, denoted as SNR_i, where i is the counting index, 1≤i≤j;

[0030] S37. Repeat step S36 to determine the signal-to-noise ratio associated with each of the test output powers in TOP_1, TOP_2, ..., TOP_j, and record them as the signal-to-noise ratio sequence SNR_1, SNR_2, ..., SNR_j in the order of TOP_1, TOP_2, ..., TOP_j.

[0031] As a further aspect of the present invention, the specific method for constructing the test output power change curve and the signal-to-noise ratio change curve in step three is as follows:

[0032] S41. Obtain the test output power sequence TOP_1,TOP_2,...,TOP_j and the signal-to-noise ratio sequence SNR_1,SNR_2,...,SNR_j;

[0033] S42. Sequentially extract the gains associated with the test output power and signal-to-noise ratio in TOP_1, TOP_2, ..., TOP_j and SNR_1, SNR_2, ..., SNR_j, and record them as the gain sequence GN_1, GN_2, ..., GN_j.

[0034] S43. Construct a horizontal coordinate axis X containing j scales, and mark the value of each gain in GN_1, GN_2, ..., GN_j on the constructed horizontal coordinate axis X in sequence;

[0035] S44. Place the horizontal coordinate axis X in a plane, and construct a ray perpendicular to the horizontal coordinate axis X through the origin of the horizontal coordinate axis X, with its positive direction being upward in this plane. Mark j scales and denote it as the vertical coordinate axis Y1.

[0036] The two-dimensional coordinate system formed by the horizontal coordinate axis X and the vertical coordinate axis Y1 is denoted as W1;

[0037] After mapping the test output power sequence TOP_1,TOP_2,...,TOP_j to the gain sequence GN_1,GN_2,...,GN_j, the results are labeled in the two-dimensional coordinate system W1.

[0038] Obtain j data points, fit them with a curve, and obtain the test output power change curve S1;

[0039] S46. Construct a ray perpendicular to the horizontal coordinate axis X, with its positive direction pointing downwards in this plane, through the origin of the horizontal coordinate axis X. This ray is denoted as the vertical coordinate axis Y2.

[0040] The two-dimensional coordinate system formed by the horizontal coordinate axis X and the vertical coordinate axis Y2 is denoted as W2;

[0041] After mapping the signal-to-noise ratio sequences SNR_1, SNR_2, ..., SNR_j to the gain sequences GN_1, GN_2, ..., GN_j, they are labeled in the constructed two-dimensional coordinate system W2.

[0042] We obtain j data points and fit them with a curve to obtain the signal-to-noise ratio change curve S2.

[0043] As a further aspect of the present invention, the specific method for determining the optimal gain range associated with the corresponding test input power in step three is as follows:

[0044] S51. Obtain the lowest output power associated with the repeater A to be optimized, and record it as OP_min;

[0045] Extract the two-dimensional coordinate system W1, the two-dimensional coordinate system W2, the output power change curve S1, and the signal-to-noise ratio change curve S2;

[0046] S52. Mark the minimum output power OP_min in the test output power change curve S1;

[0047] S53. Construct a straight line L perpendicular to the horizontal coordinate axis X from the point on the test output power change curve S1 with the lowest output power OP_min;

[0048] S54. Remove the portions of S1 and S2 located to the left of line L, and keep the portions located to the right of line L. This yields the test output power change curve after the removal operation, denoted as S`1, and the signal-to-noise ratio change curve, denoted as S`2.

[0049] S55. Construct a straight line perpendicular to the horizontal coordinate axis X through the first data point in S`2, and denote it as the first straight line L1;

[0050] S56. Copy the first line L1 and translate it to the second data point in S`2 to obtain the second line L2;

[0051] S57. Calculate the area of ​​the closed region formed by L1, L2, S`2 and the horizontal coordinate axis X, and record the area value as the signal-to-noise ratio processing feature between L1 and L2.

[0052] S58. Copy the first line L1 and translate it to the third data point in S`2 to obtain the third line L3;

[0053] The area of ​​the closed region formed by L2, L3, S`2 and the horizontal coordinate axis X is calculated, and the value of the area is recorded as the signal-to-noise ratio processing feature between L2 and L3.

[0054] S59. Repeat steps S56 to S58 to determine j-1 signal-to-noise ratio processing features, and the signal-to-noise ratio processing feature with the largest value.

[0055] The two lines associated with the processing feature with the largest signal-to-noise ratio are identified and represented as lines Ln and Ln+1, respectively, where n is the counting index, 1≤n≤j-2;

[0056] S510. Obtain the gain GN_n and gain GN_n+1 of lines Ln and Ln+1 on the horizontal coordinate axis X.

[0057] The combined gain GN_n and gain GN_n+1 are used as the optimal gain interval [GN_n, GN_n+1] associated with the test input power TIP.

[0058] As a further aspect of the present invention, the specific method for generating the input power-optimal gain adjustment table in step four is as follows:

[0059] Adjust the test input signal to different test input powers to determine the optimal gain range associated with different test input powers;

[0060] By combining different test input powers with their corresponding optimal gain ranges, an input power-optimal gain adjustment table is obtained.

[0061] As a further aspect of the present invention, in step five, the actual input power of the repeater station A to be optimized is monitored in real time, and the optimal gain range is matched for it. The specific method for performing the gain operation is as follows:

[0062] After determining the input power-optimal gain adjustment table associated with repeater A to be optimized, monitor the actual input power received by repeater A to be optimized in real time;

[0063] Retrieve the optimal gain interval associated with the actual input power from the input power-optimal gain adjustment table;

[0064] The minimum gain within the optimal gain range is used as the actual gain of the actual input power. Gain operation is then performed to obtain the actual output power.

[0065] As a further aspect of the present invention, the specific method for triggering the update process in step five is as follows:

[0066] Real-time monitoring of the actual output power of repeater A to be optimized, and determination of the signal-to-noise ratio of the actual output power;

[0067] Obtain the signal-to-noise ratio threshold preset by the operator;

[0068] If the signal-to-noise ratio of the actual output power is lower than the signal-to-noise ratio threshold, the update process is triggered to update the input power-optimal gain adjustment table.

[0069] If the signal-to-noise ratio of the actual output power is not lower than the signal-to-noise ratio threshold, the actual output power continues.

[0070] The beneficial effects of this invention are:

[0071] This invention ensures the consistency and reliability of the test foundation by automating the acquisition of key input parameters, avoiding human error, and proactively mitigating the risks of signal compression and gain failure. Secondly, it dynamically constructs a comprehensive performance dataset: within a preset gain range, the gain value is precisely adjusted sequentially, and the corresponding output power and the signal-to-noise ratio of the corresponding output power are measured and recorded simultaneously and structured, providing data basis for subsequent intelligent optimization decisions. This effectively identifies and improves the signal-to-noise ratio performance of repeaters, ultimately achieving the suppression of communication link noise floor.

[0072] This invention transforms complex power and signal-to-noise ratio (SNR) data into intuitive and visual curves, and performs correlation analysis within the same plane coordinate system, greatly improving the identifiability of parameter correlations and clarifying the relationships between different data. Secondly, by eliminating data regions with power below the minimum output power, it ensures that optimization focuses only on the effective portion, avoiding invalid calculations. Furthermore, this invention introduces a dynamic area algorithm, which calculates the area of ​​the closed region enclosed by adjacent straight lines, the curve, and the horizontal axis by sliding a vertical line along the SNR curve S`2, i.e., the SNR processing characteristics. This accurately locates the gain interval corresponding to the maximum area, quantifies the cumulative improvement strength of SNR with gain changes, and automatically, objectively, and efficiently identifies the optimal and stable gain operating interval for SNR performance, improving the accuracy, automation, and engineering practicality of repeater gain parameter optimization.

[0073] This invention constructs an input power-optimal gain adjustment table associated with the repeater to be optimized. It monitors the actual input power in real time and automatically looks up the optimal gain range in the table, prioritizing the use of the minimum gain value within the range for adjustment. This ensures that the output power meets the standard while avoiding excessive noise amplification, significantly improving signal-to-noise ratio stability. Secondly, a closed-loop update mechanism is introduced. By continuously monitoring the signal-to-noise ratio of the actual output signal and comparing it with a preset threshold in real time, the adjustment table update process is triggered once performance degradation is detected. This closed-loop design can dynamically adapt to environmental changes, continuously maintain the best noise floor suppression effect, and improve the long-term reliability and adaptive communication quality of the repeater. Attached Figure Description

[0074] The invention will now be further described with reference to the accompanying drawings.

[0075] Figure 1 This is a flowchart illustrating the method described in this invention;

[0076] Figure 2 This is a flowchart illustrating the method described in Embodiment 2 of the present invention;

[0077] Figure 3 This is a flowchart illustrating the method described in Embodiment 3 of the present invention. Detailed Implementation

[0078] 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.

[0079] Example 1

[0080] A method for intelligent optimization of wireless communication based on repeater noise, such as Figure 1 As shown, this method includes the following:

[0081] First, before the actual implementation of this method, it is necessary to obtain any repeater to be optimized, and use a preset test input signal to test the repeater to be optimized, and determine the test input power associated with the test input signal in real time. Specifically, the repeater to be optimized is the target repeater determined by the operator, and this repeater to be optimized is marked as A for easy differentiation later.

[0082] The preset test input signal is a test input signal preset by the operator, and the test input signal can be adjusted to different test input powers, that is, the test input signal can meet the test process under different test input power conditions.

[0083] The test input power is based entirely on the test input signal and can be measured in real time using a spectrum analyzer. The test input power is marked as TIP. The test input power reflects the strength of the test signal (the greater the strength, the wider the propagation distance, and vice versa).

[0084] The maximum value of the test input power associated with the test input signal is TIP_max, and the minimum value is TIP_min. Both TIP_max and TIP_min are preset values ​​by the operator. TIP_min represents the lowest test input power associated with the test input signal that the repeater to be optimized can maintain the rated gain, and TIP_max represents the highest test input power associated with the test input signal that does not trigger ALC compression.

[0085] If the test input power is not between TIP_max and TIP_min, the test input power will cause the relevant data obtained after the gain operation to be distorted, and the final calculation result or analysis result will be different from reality.

[0086] Next, obtain the gain allowable range associated with the repeater A to be optimized, traverse each gain in the gain allowable range, and perform gain operation on the test input power in turn;

[0087] The test output power and its associated signal-to-noise ratio obtained from the corresponding gain operation are recorded synchronously, and the test output power sequence and signal-to-noise ratio sequence are constructed respectively. Specifically, the gain allowable range associated with the repeater A to be optimized is determined by the repeater A itself. The gain allowable range represents the performance of the repeater A to be optimized. If the gain allowable range is large, it means that the repeater A to be optimized has better performance, can provide more gain, and can transmit more input signals with different input powers.

[0088] The purpose of iterating through each gain in the gain allowable interval and performing gain operation on the test input power in turn is to determine the gain effect (test output power and its associated signal-to-noise ratio) after performing gain operation on the corresponding test input power TIP in a certain gain allowable interval of the repeater A to be optimized. The signal-to-noise ratio calculation is based on existing technology and will not be elaborated on in this solution.

[0089] Based on the determined test output power sequence and signal-to-noise ratio sequence, test output power change curves and signal-to-noise ratio change curves are constructed. Based on this, the minimum output power constraint of the repeater to be optimized is determined, and the effective part of the output power change curve and signal-to-noise ratio change curve is extracted.

[0090] By mapping the effective portions of the determined output power variation curve and signal-to-noise ratio variation curve to the allowable gain range, the optimal gain range associated with the corresponding test input power is further determined. Specifically, by organizing and plotting a series of output power data points and signal-to-noise ratio data points obtained during the test, two key curves are formed that can intuitively reflect the changing trends of the repeater's output power and signal-to-noise ratio under different conditions.

[0091] Next, based on the minimum output power constraint of the repeater to be optimized, the effective portions of the constructed output power variation curve and signal-to-noise ratio variation curve are extracted. The minimum output power constraint means that during the optimization process, the output power of the repeater cannot be lower than a certain set value to ensure its basic communication function and coverage capability. Therefore, it is necessary to select the effective data portion that meets this constraint from the curve and exclude those data points that are lower than the minimum output power, so as to focus on the performance of the repeater during stable operation.

[0092] By correlating the output power variation curve and signal-to-noise ratio variation curve of the determined effective portion with the allowable gain range, the performance of the output power and signal-to-noise ratio of the repeater to be optimized under different gain conditions is further analyzed.

[0093] Finally, under a specific test input power, by analyzing the output power change curve and the signal-to-noise ratio change curve, and combining the allowable gain range, the optimal gain range under that input power is determined. The optimal gain range refers to the range within which the output power and signal-to-noise ratio of the repeater reach their best performance, while also meeting the system's stability and efficiency requirements.

[0094] Further determine the optimal gain interval corresponding to different test input powers, summarize the correspondence between all test input powers and their optimal gain intervals, and generate an input power-optimal gain adjustment table. Specifically, for each test input power, by analyzing the output power change curve and the signal-to-noise ratio change curve, and combining the gain allowable interval, determine the optimal gain interval under the corresponding input power. Summarize all test input powers and their corresponding optimal gain intervals to form a dataset, and generate an input power-optimal gain adjustment table based on the dataset.

[0095] The input power-optimal gain adjustment table clearly displays the optimal gain range corresponding to different input powers, so as to quickly find and adjust the gain settings of the repeater in practical applications.

[0096] The system monitors the actual input power of the repeater to be optimized in real time, matches it with the optimal gain range, and performs gain operation.

[0097] The output signal-to-noise ratio is continuously monitored. When it falls below a preset signal-to-noise ratio threshold, an update process is triggered. Specifically, the update process includes re-evaluating the actual input power, re-matching the optimal gain range, and readjusting the gain settings.

[0098] Example 2

[0099] This embodiment, based on Embodiment 1, discloses a method for constructing a test output power sequence and a signal-to-noise ratio (SNR) sequence, and for constructing and determining the test output power variation curve and the SNR variation curve based on the test output power sequence and the SNR sequence. Figure 2 As shown, it specifically includes the following:

[0100] As described in Example 1, the test output power change curve and the signal-to-noise ratio change curve are based on the test output power sequence and the signal-to-noise ratio sequence. The following is a method for constructing the test output power sequence and the signal-to-noise ratio sequence:

[0101] First, the gain allowable interval associated with the repeater A to be optimized is obtained, and the obtained gain allowable interval is denoted as [GN_1, GN_j], where GN_1 represents the minimum gain value in the gain allowable interval of the repeater A to be optimized, and similarly, GN_j represents the maximum gain value in the gain allowable interval of the repeater A to be optimized. There are j gains from the minimum gain value GN_1 to the maximum gain value GN_j, where j is a value determined by the operator.

[0102] Next, obtain the test input power TIP, obtain the minimum gain value GN_1 in the gain allowable range of the repeater A to be optimized, and use the minimum gain value GN_1 as the gain of the repeater A to be optimized relative to the test input power TIP, and perform the gain operation.

[0103] After the gain operation is completed, the obtained test output signal and test output power (the test output power is obtained by the test input signal after the gain operation) are acquired. The test output power associated with the test input power TIP is marked as TOP_1 for easy differentiation later.

[0104] As described above, the test input power TIP is obtained by performing a gain operation on the minimum gain value in the gain allowable range [GN_1,GN_j] to obtain the test output power TOP_1;

[0105] Next, adjust the gain to the next gain in the gain allowable range [GN_1, GN_j] after the minimum gain GN_1, i.e., GN_2, and in the same steps as described above, determine the test output power after the test input power TIP is increased by the gain value GN_2, and record it as TOP_2.

[0106] Continue repeating the above steps, adjusting the gain to traverse each of the gain allowable intervals [GN_1, GN_j], and determining the test output power associated with each gain value. Total the test output power associated with each of the j gain values, and sort the determined j test output powers in ascending order of gain. The sorted result is recorded as the test output power sequence, represented as: TOP_1, TOP_2, ..., TOP_j.

[0107] Next, obtain any one of the test output power sequences TOP_1, TOP_2, ..., TOP_j and denote it as TOP_i. Calculate the signal-to-noise ratio associated with the test output power TOP_i using the signal-to-noise ratio calculation formula (existing technology) and denote it as SNR_i, where i is the counting index, ranging from 1 to j, and i indicates that it corresponds to the test output power TOP_i.

[0108] Then, using the aforementioned signal-to-noise ratio (SNR) calculation formula, the SNR associated with each of the j test output powers in the test output power sequence TOP_1, TOP_2, ..., TOP_j is calculated. The final j SNRs are extracted, sorted according to the order of the test output power sequence TOP_1, TOP_2, ..., TOP_j, and the sorted result is recorded as the SNR sequence, denoted as: SNR_1, SNR_2, ..., SNR_j.

[0109] Thus, the test output power sequences TOP_1, TOP_2, ..., TOP_j and the corresponding signal-to-noise ratio sequences SNR_1, SNR_2, ..., SNR_j have been determined.

[0110] Next, based on the test output power sequence TOP_1, TOP_2, ..., TOP_j and the signal-to-noise ratio sequence SNR_1, SNR_2, ..., SNR_j, the test output power change curve and the signal-to-noise ratio change curve are constructed. The specific steps are as follows:

[0111] As can be seen from the above, the signal-to-noise ratio sequence SNR_1, SNR_2, ..., SNR_j is derived from the test output power sequence TOP_1, TOP_2, ..., TOP_j using the signal-to-noise ratio calculation formula. Each test output power in the test output power sequence TOP_1, TOP_2, ..., TOP_j is derived from the same test input power after gain operation with different gain values.

[0112] Extract the gain value associated with each test output power in the test output power sequence TOP_1, TOP_2, ..., TOP_j to obtain j gains, which also correspond to j gains within the gain allowable interval [GN_1, GN_j] associated with the optimized repeater A. Sort the j gains in ascending order to obtain the gain sequence, represented as: GN_1, GN_2, ..., GN_j.

[0113] The gain sequences GN_1, GN_2, ..., GN_j correspond one-to-one with the test output power sequences TOP_1, TOP_2, ..., TOP_j and the signal-to-noise ratio sequences SNR_1, SNR_2, ..., SNR_j, that is, GN_i, TOP_i, and SNR_i are mutually related.

[0114] Next, a horizontal coordinate axis is constructed and denoted as X. The horizontal coordinate axis X has j scales, each scale corresponding to a gain value. The determined gain sequence GN_1, GN_2, ..., GN_j is then obtained, and each value in the gain sequence GN_1, GN_2, ..., GN_j is sequentially marked on the constructed horizontal coordinate axis X. GN_1 is marked at the first scale on the horizontal coordinate axis X, and the remaining values ​​GN_2 to GN_j are marked in the same way.

[0115] Next, place the horizontal coordinate axis X in any plane (all subsequent operations will be performed on this plane), construct a ray through the origin of the horizontal coordinate axis X that is perpendicular to the horizontal coordinate axis X and whose positive direction is upward in the determined plane, and mark j scales on the constructed ray to obtain the vertical coordinate axis Y1;

[0116] At this point, the horizontal coordinate axis X and the vertical coordinate axis Y1 form a two-dimensional coordinate system, which is labeled W1. After mapping the test output power sequence TOP_1,TOP_2,...,TOP_j to the gain sequence GN_1,GN_2,...,GN_j, the test output power sequence TOP_1,TOP_2,...,TOP_j is then labeled as data points in the constructed two-dimensional coordinate system W1, resulting in j data points representing the j test output powers in the test output power sequence TOP_1,TOP_2,...,TOP_j.

[0117] Using the j data points obtained through curve fitting, a curve is obtained, denoted as the test output power change curve S1.

[0118] Then, construct a ray perpendicular to the horizontal coordinate axis X through the origin of the horizontal coordinate axis X, with its positive direction pointing downwards in the defined plane, and mark j scales on the constructed ray to obtain the vertical coordinate axis Y2;

[0119] At this point, the horizontal coordinate axis X and the vertical coordinate axis Y2 form a two-dimensional coordinate system, which is labeled W2. After mapping the signal-to-noise ratio (SNR) sequence SNR_1, SNR_2, ..., SNR_j to the gain sequence GN_1, GN_2, ..., GN_j, the SNR sequence SNR_1, SNR_2, ..., SNR_j is then labeled as data points in the constructed two-dimensional coordinate system W2, resulting in j data points representing the j SNRs in the SNR sequence SNR_1, SNR_2, ..., SNR_j.

[0120] Using the j data points obtained by curve fitting, a curve is obtained, denoted as the signal-to-noise ratio change curve S2, and the test output power change curve S1 and the signal-to-noise ratio change curve S2 are in the same plane.

[0121] Example 3

[0122] This embodiment, based on Embodiments 1 and 2, further discloses a method for determining the optimal gain range associated with the corresponding test input power and constructing an input power-optimal gain adjustment table, such as... Figure 3 As shown, it specifically includes the following:

[0123] As described in Examples 1 and 2, the test output power change curve S1 and the signal-to-noise ratio change curve S2 were determined;

[0124] The ultimate goal of this embodiment is to determine the optimal gain range associated with the corresponding test input power and to construct an input power-optimal gain adjustment table. Determining the optimal gain range associated with the corresponding test input power requires based on the test output power change curve S1 and the signal-to-noise ratio change curve S2. The specific steps are as follows:

[0125] First, obtain the minimum output power associated with the repeater A to be optimized (if the output power is lower than this value, the signal transmission will not be satisfied), and mark the obtained minimum output power as OP_min;

[0126] Next, obtain the two-dimensional coordinate system W1 and two-dimensional coordinate system W2, as well as the test output power change curve S1 and signal-to-noise ratio change curve S2 located in the two-dimensional coordinate system W1 and two-dimensional coordinate system W2.

[0127] In the test output power change curve S1, mark the minimum output power OP_min with data points, and then construct a straight line perpendicular to the horizontal coordinate axis X through the data points on the test output power change curve S1 with the determined minimum output power OP_min, and denote it as L;

[0128] The straight line L passes through the test output power change curve S1 and the signal-to-noise ratio change curve S2, and divides the test output power change curve S1 and the signal-to-noise ratio change curve S2 into two parts respectively.

[0129] The portion of the test output power change curve S1 and the portion of the signal-to-noise ratio change curve S2 located to the left of the straight line L are removed (indicating that they do not meet the minimum output power OP_min).

[0130] The output power change curve after the rejection operation is then marked as S`1, and the signal-to-noise ratio change curve after the rejection operation is marked as S`2.

[0131] Then, construct a straight line perpendicular to the horizontal coordinate axis X by passing through the first data point in the signal-to-noise ratio change curve S`2 (corresponding to the gain on the horizontal coordinate axis). This straight line passes through both the test output power change curve S`1 and the signal-to-noise ratio change curve S`2, and is marked as the first straight line L1.

[0132] Next, the first straight line L1 is copied to obtain a new straight line. This new straight line is then translated to the second data point in the signal-to-noise ratio change curve S`2 (corresponding to the gain on the horizontal coordinate axis), and the translated straight line is recorded as the second straight line L2.

[0133] At this point, the first straight line L1, the first straight line L2, the signal-to-noise ratio change curve S`2, and the horizontal coordinate axis X will form a closed region. The area of ​​this closed region is calculated, and the value of the area of ​​this closed region is recorded as the signal-to-noise ratio processing feature between the first straight line L1 and the first straight line L2.

[0134] Copy the first straight line L1 again, and translate the new straight line obtained after copying to the third data point in the signal-to-noise ratio change curve S`2 (corresponding to the gain on the horizontal coordinate axis), and denote the straight line obtained after translation as the third straight line L3.

[0135] At this point, the second straight line L2, the third straight line L3, the signal-to-noise ratio change curve S`2, and the horizontal coordinate axis X will form a closed region. Calculate the area of ​​this closed region and record the value of the area of ​​this closed region as the signal-to-noise ratio processing feature between the second straight line L2 and the third straight line L3.

[0136] Repeat the above steps to construct all lines from the fourth line to the j-th line, and determine the signal-to-noise ratio (SNR) processing features between any two lines, resulting in a total of j-1 SNR processing features. Then, obtain the SNR processing feature with the largest value among the j-1 SNR processing features, and further determine the two lines associated with the SNR processing feature with the largest value, and denote them as line Ln and line Ln+1, respectively, where n is the counting index, with a value range from 1 to j-2.

[0137] Further, obtain the gains corresponding to lines Ln and Ln+1 on the horizontal coordinate axis X, and denote them as gain GN_n and gain GN_n+1 respectively;

[0138] The gain GN_n and the gain GN_n+1 are combined, and the combined result is taken as the optimal gain interval associated with the test input power TIP, which is represented as: [GN_n, GN_n+1].

[0139] As described above, the optimal gain range associated with the test input power TIP was determined;

[0140] Next, adjust the test input signal to different test input powers (adjusted by the operator according to the actual situation), and determine the optimal gain range associated with different test input powers according to the above method. Then, combine and associate the optimal gain range associated with different test input powers with the corresponding test input power.

[0141] The test input power and optimal gain range of several combined correlations are summarized to obtain the input power-optimal gain adjustment table.

[0142] Example 4

[0143] This embodiment discloses a method for matching the optimal gain interval for the actual input signal and monitoring the actual output signal to determine whether an update process is needed, specifically including the following:

[0144] As described in Example 3, the input power-optimal gain adjustment table associated with repeater A to be optimized is a recommended gain range for a specific input power range. This range aims to maximize the output signal-to-noise ratio to meet specific performance targets, while avoiding repeater saturation, excessive intermodulation distortion, or the introduction of excessive background noise. The specific steps are as follows:

[0145] The actual input power received by the repeater A to be optimized is continuously and accurately sampled in real time using the built-in RF monitoring unit or an external coupler. The sampling frequency must be high enough to capture the dynamic changes of the signal.

[0146] Based on the real-time monitored actual input power, the optimal gain range associated with the actual input power is determined by searching the input power-optimal gain adjustment table.

[0147] A conservative strategy is adopted, selecting the minimum value of the optimal gain range as the gain value for practical applications for the following reasons: First, stability is prioritized to avoid the risk of saturation or distortion caused by excessively high gain due to instantaneous input power fluctuations or measurement errors; second, under the premise of meeting performance targets, lower gain usually helps to reduce intermodulation and noise floor rise.

[0148] After performing the gain operation, the output terminal of repeater A to be optimized generates the actual output power, and the actual output power and signal-to-noise ratio of the actual output power are monitored in real time.

[0149] The signal-to-noise ratio of the actual output power obtained from real-time monitoring is continuously compared with the signal-to-noise ratio threshold preset by the operator.

[0150] If the signal-to-noise ratio of the actual output power is lower than the signal-to-noise ratio threshold preset by the operator, it indicates that the gain effect is poor, triggering the update process to update the input power-optimal gain adjustment table associated with the repeater to be optimized.

[0151] If the signal-to-noise ratio of the actual output power is not lower than the signal-to-noise ratio threshold preset by the operator, it indicates that the gain effect is good. The actual output power of the repeater to be optimized should be continuously monitored.

[0152] All data in the formulas described above are numerical calculations performed after removing their dimensions. Furthermore, any content not described in detail in this specification is existing technology known to those skilled in the art.

[0153] The above description is merely an example and illustration of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the invention or exceed the scope defined in the claims, all of which should fall within the protection scope of the present invention.

[0154] It should be stated that all user data collected in this application was collected with the user's consent and authorization. Furthermore, the uses of user data are legal and compliant, and the use and processing of user data comply with the relevant laws, regulations, and standards of the relevant regions.

Claims

1. A method for intelligent optimization of noise floor in wireless communication based on repeaters, characterized in that, This method includes the following: Step 1: Obtain any repeater A to be optimized, and use the preset test input signal to test repeater A, and determine the test input power associated with the test input signal in real time; Step 2: Obtain the gain allowable range associated with repeater A to be optimized, traverse each gain in the gain allowable range, and perform gain operation on the test input power in turn; Obtain the gain allowable interval [GN_1,GN_j] associated with repeater A to be optimized; There are j different gain values ​​in the gain allowable interval [GN_1, GN_j], where j is a value preset by the operator; The test output power and its associated signal-to-noise ratio obtained from the corresponding gain operation are recorded synchronously, and the test output power sequence and signal-to-noise ratio sequence are constructed respectively. Step 3: Based on the determined test output power sequence and signal-to-noise ratio sequence, construct two-dimensional coordinate system W1, two-dimensional coordinate system W2, and test output power change curve S1 and signal-to-noise ratio change curve S2. Based on this, the minimum output power constraint of repeater station A to be optimized is determined, and the effective part of the output power change curve and signal-to-noise ratio change curve is extracted. The specific method for further determining the optimal gain range associated with the corresponding test input power is to correlate the determined output power change curve and the effective portion of the signal-to-noise ratio change curve with the gain allowable range, by mapping them to the gain allowable range: S51. Obtain the lowest output power associated with the repeater A to be optimized, and record it as OP_min; Extract the two-dimensional coordinate system W1, the two-dimensional coordinate system W2, the test output power change curve S1, and the signal-to-noise ratio change curve S2; S52. Mark the minimum output power OP_min in the test output power change curve S1; S53. Mark the minimum output power OP_min on the test output power change curve S1, and construct a straight line L perpendicular to the horizontal coordinate axis X through this minimum output power OP_min. The straight line L passes through the test output power change curve S1 and the signal-to-noise ratio change curve S2, dividing the test output power change curve S1 and the signal-to-noise ratio change curve S2 into two parts respectively; S54. Perform a rejection operation on the portion of the test output power change curve S1 and the portion of the signal-to-noise ratio change curve S2 located to the left of the straight line L to obtain the test output power change curve after rejection operation, denoted as S`1 and the signal-to-noise ratio change curve, denoted as S`2. S55. Construct a straight line perpendicular to the horizontal coordinate axis X through the first data point in S`2, and denote it as the first straight line L1; S56. Copy the first line L1 and translate it to the second data point in S`2 to obtain the second line L2; S57. Calculate the area of ​​the closed region formed by L1, L2, S`2 and the horizontal coordinate axis X, and record the area value as the signal-to-noise ratio processing feature between L1 and L2. S58. Copy the first line L1 and translate it to the third data point in S`2 to obtain the third line L3; The area of ​​the closed region formed by L2, L3, S`2 and the horizontal coordinate axis X is calculated, and the value of the area is recorded as the signal-to-noise ratio processing feature between L2 and L3. S59. Repeat steps S56 to S58 to determine j-1 signal-to-noise ratio processing features, and the signal-to-noise ratio processing feature with the largest value. The two lines associated with the processing feature with the largest signal-to-noise ratio are identified and represented as lines Ln and Ln+1, respectively, where n is the counting index and 1≤n≤j-2; S510. Obtain the gain GN_n and gain GN_n+1 of lines Ln and Ln+1 on the horizontal coordinate axis X; The combined gain GN_n and gain GN_n+1 are used as the optimal gain interval [GN_n, GN_n+1] associated with the test input power TIP; Step 4: Determine the optimal gain range corresponding to different test input powers, summarize the correspondence between all test input powers and their optimal gain ranges, and generate an input power-optimal gain adjustment table; Step 5: Monitor the actual input power of the repeater to be optimized in real time, match it with the optimal gain range, and perform gain operation as follows: After determining the input power-optimal gain adjustment table associated with repeater A to be optimized, monitor the actual input power received by repeater A to be optimized in real time; Retrieve the optimal gain interval associated with the actual input power from the input power-optimal gain adjustment table; The minimum gain in the optimal gain range is used as the actual gain of the actual input power. Gain operation is then performed to obtain the actual output power. The output signal-to-noise ratio is continuously monitored, and an update process is triggered when it falls below a preset signal-to-noise ratio threshold.

2. The method for intelligent optimization of noise floor based on repeaters according to claim 1, characterized in that, In step one, the specific method for determining the test input power associated with the test input signal in real time is as follows: Get any repeater to be optimized, as determined by the operator, and denote it as A; Acquire the test input signals preset by the operator; The test input power associated with the test input signal is determined in real time and denoted as TIP; The maximum value of the test input power of the test input signal TIP is TIP_max, and the minimum value is TIP_min, where TIP_max and TIP_min are preset values ​​by the operator.

3. The method for intelligent optimization of noise floor based on repeaters according to claim 1, characterized in that, In step two, the specific method for constructing the test output power sequence and signal-to-noise ratio sequence is as follows: S31. Obtain the test input power TIP, adjust the gain of the repeater A to be optimized to the minimum value GN_1 in the gain allowable range [GN_1,GN_j], and perform gain operation on the test input power TIP; S32. Determine the test output signal and test output power obtained after the gain operation, and record the test output power as TOP_1; S33. Adjust the gain to the next gain value GN_2 in the gain allowable interval [GN_1, GN_j] of the minimum gain GN_1, and determine the test output power obtained after the gain operation, denoted as TOP_2; S34. Repeat step S33 to determine the test output power associated with each of the j different gain values ​​in the gain allowable interval [GN_1, GN_j], and record them as the test output power sequence TOP_1, TOP_2, ..., TOP_j in ascending order of gain value; S35. Obtain any one of the test output powers from TOP_1, TOP_2, ..., TOP_j, and denote it as TOP_i; Determine the signal-to-noise ratio of TOP_i, denoted as SNR_i, where i is the counting index, 1≤i≤j; S36. Repeat step S35 to determine the signal-to-noise ratio associated with each of the test output powers in TOP_1, TOP_2, ..., TOP_j, and record them as the signal-to-noise ratio sequence SNR_1, SNR_2, ..., SNR_j in the order of TOP_1, TOP_2, ..., TOP_j.

4. The method for intelligent optimization of noise floor based on repeaters according to claim 3, characterized in that, In step three, the specific method for constructing the test output power change curve and the signal-to-noise ratio change curve is as follows: S41. Obtain the test output power sequence TOP_1,TOP_2,...,TOP_j and the signal-to-noise ratio sequence SNR_1,SNR_2,...,SNR_j; S42. Sequentially extract the gains associated with the test output power and signal-to-noise ratio in TOP_1, TOP_2, ..., TOP_j and SNR_1, SNR_2, ..., SNR_j, and record them as the gain sequence GN_1, GN_2, ..., GN_j. S43. Construct a horizontal coordinate axis X containing j scales, and mark the value of each gain in GN_1, GN_2, ..., GN_j on the constructed horizontal coordinate axis X in sequence; S44. Place the horizontal coordinate axis X in a plane, and construct a ray perpendicular to the horizontal coordinate axis X through the origin of the horizontal coordinate axis X, with its positive direction being upward in this plane. Mark j scales and denote it as the vertical coordinate axis Y1. The two-dimensional coordinate system formed by the horizontal coordinate axis X and the vertical coordinate axis Y1 is denoted as W1; After mapping the test output power sequence TOP_1,TOP_2,...,TOP_j to the gain sequence GN_1,GN_2,...,GN_j, the results are labeled in the two-dimensional coordinate system W1. Obtain j data points, fit them with a curve, and obtain the test output power change curve S1; S46. Construct a ray perpendicular to the horizontal coordinate axis X, with its positive direction pointing downwards in this plane, through the origin of the horizontal coordinate axis X. This ray is denoted as the vertical coordinate axis Y2. The two-dimensional coordinate system formed by the horizontal coordinate axis X and the vertical coordinate axis Y2 is denoted as W2; After mapping the signal-to-noise ratio sequences SNR_1, SNR_2, ..., SNR_j to the gain sequences GN_1, GN_2, ..., GN_j, they are labeled in the constructed two-dimensional coordinate system W2. We obtain j data points and fit them with a curve to obtain the signal-to-noise ratio change curve S2.

5. The method for intelligent optimization of noise floor based on repeater according to claim 1, characterized in that, In step four, the specific method for generating the input power-optimal gain adjustment table is as follows: Adjust the test input signal to different test input powers to determine the optimal gain range associated with different test input powers; By combining different test input powers with their corresponding optimal gain ranges, an input power-optimal gain adjustment table is obtained.

6. The method for intelligent optimization of noise floor based on repeater according to claim 5, characterized in that, In step five, the specific method for triggering the update process is as follows: Real-time monitoring of the actual output power of repeater A to be optimized, and determination of the signal-to-noise ratio of the actual output power; Obtain the signal-to-noise ratio threshold preset by the operator; If the signal-to-noise ratio of the actual output power is lower than the signal-to-noise ratio threshold, the update process is triggered to update the input power-optimal gain adjustment table. If the signal-to-noise ratio of the actual output power is not lower than the signal-to-noise ratio threshold, the actual output power continues.

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