Signal interference suppression method for mobile communication network signals

Abstract

The invention relates to the field of signal interference suppression, in particular to a signal interference suppression method for mobile communication network signals, which comprises the following specific steps: S1, acquiring working information of a target base station and environment information of a target position, and calculating terrain environment parameters and electromagnetic environment parameters; s2, calculating first signal quality of the mobile communication network at the position of the signal receiving end according to the terrain environment parameters and the electromagnetic environment parameters; and S3, adjusting the output power of the mobile communication network according to the first signal quality. The interference of factors such as terrain and electromagnetic environment in the working environment of the mobile communication network on the signal intensity is comprehensively considered, so that the precision of calculating the first signal quality of the mobile communication network at the position of the signal receiving end is improved, and the signal quality of a user can be obtained in real time; adjustment can be made before user experience declines, and network quality is guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of signal interference suppression, and in particular to a signal interference suppression method for mobile communication network signals. Background Art

[0002] 4G and 5G are the main network communication technologies at present. In some environments with complex geographical and electromagnetic environments, mobile communication networks are prone to interference, which seriously affects the quality of network communication. The common method to suppress interference is to determine whether interference occurs based on the terrain and electromagnetic environment when users repeatedly apply for data information, and then adjust the frequency or strength of the signal based on the results.

[0003] However, using this method, users will experience a period of network delay, which leads to a poor user experience. In addition, this method does not take into account the impact of signal reflections in complex environments on signal quality, resulting in inaccurate calculation results and misjudgment of whether interference occurs. Summary of the invention

[0004] In view of the deficiencies of the prior art, the present invention provides a method for suppressing signal interference of mobile communication network signals, which solves the technical problem of misjudgment of whether interference occurs in the prior art.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A method for suppressing signal interference of mobile communication network signals, comprising the following specific steps:

[0007] S1. Obtain the working information of the target base station and the environmental information of the target location, and calculate the terrain environment parameter TotalLoss (dB) and the electromagnetic environment parameter AllLoss (dB);

[0008] S2. Calculate the first signal quality of the mobile communication network at the signal receiving end location according to the terrain environment parameter TotalLoss (dB) and the electromagnetic environment parameter AllLoss (dB);

[0009] S3. adjusting the output power of the mobile communication network according to the first signal quality to suppress signal interference to the mobile communication signal;

[0010] S4. Analyze whether there is interference in the mobile communication network based on the working information and environmental information;

[0011] If yes, proceed to step S5;

[0012] If not, return to step S1;

[0013] S5. Adjust the frequency of the mobile communication network.

[0014] Furthermore, the operating information of the target base station includes the frequency and output power of the mobile communication network;

[0015] The environmental information of the target location includes terrain environmental parameters and electromagnetic environmental parameters.

[0016] Furthermore, in step S1, the following steps are specifically included:

[0017] S11, obtaining map information and electromagnetic information of the target location;

[0018] S12. Annotate the map information, where the annotated content includes the target base station location, the signal receiving terminal location, the house location, the house size, the tree location, the hillside location, the hillside size, and the location of the electromagnetic interference source;

[0019] Marking the map information according to the electromagnetic information, the marked content includes the power and relative humidity of the electromagnetic interference source;

[0020] S13. Calculate the terrain environment parameter TotalLoss (dB) according to the annotation. The specific calculation formula is:

[0021]

[0022] Where d1 represents the straight-line distance between the target base station and the signal receiving end; f represents the frequency of the mobile communication signal; c represents the speed of light, which is approximately 3×10 8 m / s; N represents the number of buildings between the target base station and the signal receiving end; L b represents the average shading loss of each building; K h represents the terrain constant; h represents the height of the hill; d2 represents the distance between the mobile communication network path and the hill; N t represents the number of trees in the mobile communication network path; L t represents the average occlusion loss of each tree;

[0023] S14. Calculate the electromagnetic environment parameter AllLoss (dB) according to the mark. The specific calculation formula is:

[0024]

[0025] Where A represents the characteristic constant of the interference source; P EMI Indicates the power of the electromagnetic interference source; P signal Indicates the transmission power of the target base station; d EMI It represents the distance from the electromagnetic interference source to the signal receiving end; B represents the humidity influence constant; RH represents the relative humidity.

[0026] Furthermore, the calculation formula of the first signal quality RSSI of the mobile communication network is specifically as follows:

[0027] RSSI = P t -(TotalLoss(dB)+AllLoss(dB))

[0028] Where P t Indicates the transmit power of the target base station.

[0029] Furthermore, in step S3, the following specific steps are included:

[0030] S31, presetting a second signal quality, where the second signal quality is used to indicate the minimum signal quality for completely transmitting a signal;

[0031] S32, determining whether the quality of a first signal of the mobile communication network received by the signal receiving end is higher than the quality of a second signal;

[0032] If so, then end;

[0033] If not, proceed to step S33;

[0034] S33, increasing the signal transmission power of the target base station;

[0035] S34. Setting a protection mechanism in the target base station, and triggering the protection mechanism when the transmission power of the target base station reaches the maximum rated output power.

[0036] Furthermore, in step S4, the following specific steps are included:

[0037] S41, obtaining reflection and diffraction information of signals of different frequencies on the surfaces of reflective objects of different materials and different angles, and constructing a training set;

[0038] S42, using the training set to train the interference prediction model to obtain a target prediction model;

[0039] S43. Constructing a first interference broken line and a second interference broken line in the map information according to the position of the target base station or the signal interference source, the position of the signal receiving end, the position of the building, and the angle between the vertical line of the reflecting surface of the reflecting object and the target base station; the first interference broken line represents the path of the signal emitted by the target base station or the signal interference source after one reflection and transmission to the signal receiving end; the second interference broken line represents the path of the signal emitted by the target base station or the signal interference source after two reflections and transmission to the signal receiving end;

[0040] S43, select any first interference broken line, input the signal frequency, signal transmission direction, angle information between the vertical line of the reflecting object and the target base station of the corresponding target base station or signal interference source into the target prediction model, and output the signal strength of the first interference broken line;

[0041] S44, select the first half of any second interference broken line, input the signal frequency, signal transmission direction, angle information between the vertical line of the reflecting object and the target base station of the corresponding target base station or signal interference source into the target prediction model, and output the signal strength of the first half of the interference broken line;

[0042] Input the signal frequency of the corresponding target base station or signal interference source, the propagation direction of the second half of the second interference broken line, and the angle information between the vertical line of the reflecting object and the second half of the second interference broken line into the target prediction model, and output the signal strength of the second interference broken line;

[0043] S45, repeat iterative steps S43-S44 until the first interference broken line signal strengths of all first interference broken lines and the second interference broken line signal strengths of all second interference broken lines are obtained.

[0044] S46, calculating a first possibility of causing an impact on the mobile communication network according to the first interference broken line signal strengths of all first interference broken lines and the second interference broken line signal strengths of the second interference broken lines;

[0045] S47, presetting a second possibility, and determining whether the first possibility is higher than the second possibility;

[0046] If so, it means there is interference in the mobile communication network;

[0047] If not, it means that there is no interference in the mobile communication network.

[0048] Furthermore, in step S41, the following specific steps are included:

[0049] S411, select a signal of any frequency, select a reflective object surface of any material, arbitrarily set an angle between a vertical line of the reflective surface and the signal source, and use the above information and the position of the reflective object as sample data of a training sample;

[0050] S412: Detect the signal strength of the reflected signal as a sample label of the training sample.

[0051] Furthermore, in step S46, the following specific steps are included:

[0052] S461. Calculate frequency sensitivity factor α f (f i ), frequency sensitivity factor α f (f i ) is used to reflect the difference in the possibility of interference generated by signals of different frequencies under the same conditions. The specific calculation formula is:

[0053]

[0054] Where k represents the steepness of the control frequency sensitivity; f i represents the signal frequency of the i-th path in the first interference fold line and the second interference fold line; f0 represents the reference frequency;

[0055] S462. Calculate a normalization constant C. The normalization constant C is used to ensure that the first probability is within a reasonable range. The specific calculation formula is:

[0056]

[0057] Where, N represents the total number of first interference lines; M represents the total number of second interference lines; ω 1i and ω 2i I represents the weight factors of the i-th first interference line and the j-th second interference line respectively; 1i and I 2i represents the first interference broken line signal strength and the second interference broken line signal strength of the i-th first interference broken line and the j-th second interference broken line respectively; α f (f i1 ) and α f (f i2 ) represent the signal frequencies of the i-th first interference line and the j-th second interference line respectively;

[0058] S463, according to the frequency sensitivity factor α f (f i ) and the normalization constant C are used to calculate the first probability, and the calculation formula is as follows:

[0059]

[0060] Where P1 represents the first possibility.

[0061] Compared with the prior art, the present invention provides a method for suppressing signal interference of mobile communication network signals, which has the following beneficial effects:

[0062] 1. The present invention comprehensively considers the interference of factors such as the terrain and electromagnetic environment in the working environment of the mobile communication network on the signal strength, thereby improving the accuracy of calculating the first signal quality of the mobile communication network at the signal receiving end. The user's signal quality can be obtained in real time, and adjustments can be made before the user experience declines to ensure network quality.

[0063] 2. When the input signal level changes greatly, the output power of the present invention can be maintained within the range of ±2dB of the maximum output power, which helps to maintain the stability and reliability of the communication link. Reasonable power control can ensure that the signal of each carrier frequency operates within the appropriate power range, reduce mutual interference between carrier frequencies, and improve the overall communication quality. In addition, through the overload protection mechanism, the equipment can be prevented from being damaged due to long-term overload operation, thereby extending the service life of the equipment.

[0064] 3. The present invention comprehensively considers the geographical environment information and electromagnetic information between the target base station and the signal receiving end, and takes into account the reflection of the signal once or twice by multiple buildings or hillsides. When calculating whether interference occurs in the mobile communication network, it can effectively improve the calculation accuracy, thereby improving the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0066] Figure 1 The present invention is a flow chart of a method for suppressing signal interference of mobile communication network signals. DETAILED DESCRIPTION

[0067] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific implementation methods, so that the implementation process of how the present application uses technical means to solve technical problems and achieve technical effects can be fully understood and implemented accordingly.

[0068] 4G and 5G are both mobile communication networks. 4G is the fourth generation of mobile communication technology, and 5G is the fifth generation of mobile communication technology. Both 4G and 5G are important network communication technologies at present. However, in a complex electromagnetic environment, mobile communication networks are prone to interference, which affects network quality. In order to improve the real-time communication quality of the network, please refer to Figure 1 , a signal interference suppression method for mobile communication network signals is proposed, comprising the following specific steps:

[0069] S1. Obtain the working information of the target base station and the environmental information of the target location, and calculate the terrain environment parameter TotalLoss (dB) and the electromagnetic environment parameter AllLoss (dB); Specifically, since wireless signal transmission is in the form of waves, when the frequencies of two signals are the same or similar, it is easier to cause mutual interference. At the receiving end, the received signal contains not only the desired signal, but also may contain components from another signal, and the filter in the receiving device cannot completely separate the signals with very close frequencies, resulting in some interference signals entering the receiving channel and affecting the signal quality. In addition, when multiple signals with similar frequencies pass through nonlinear devices at the same time, new frequency components may be generated. These new frequency components may fall within the frequency band of the received signal and cause interference, so it is necessary to obtain the working information of the mobile communication network. The working information of the target base station includes the frequency and output power of the mobile communication network.

[0070] In addition, since environmental factors such as buildings, trees and electromagnetic interference may affect the quality of the mobile communication network, it is necessary to obtain environmental information (i.e., target location) between the signal receiving end and the target base station. The environmental information of the target location includes terrain environmental parameters and electromagnetic environmental parameters. Specifically, in step S1, the following steps are specifically included:

[0071] S11, obtaining map information and electromagnetic information of the target location;

[0072] S12. Annotate the map information, where the annotated content includes the target base station location, the signal receiving terminal location, the house location, the house size, the tree location, the hillside location, the hillside size, and the location of the electromagnetic interference source;

[0073] Marking the map information according to the electromagnetic information, the marked content includes the power and relative humidity of the electromagnetic interference source;

[0074] S13. Calculate the terrain environment parameter TotalLoss (dB) according to the annotation. The specific calculation formula is:

[0075]

[0076] Where d1 represents the straight-line distance between the target base station and the signal receiving end; f represents the frequency of the mobile communication signal; c represents the speed of light, which is approximately 3×10 8 m / s; N represents the number of buildings between the target base station and the signal receiving end; L b represents the average shading loss of each building; K h represents the terrain constant; h

[0077] represents the height of the hill; d2 represents the distance between the mobile communication network path and the hill; N trepresents the number of trees in the mobile communication network path; L t represents the average occlusion loss of each tree; specifically, L b Calculated by the material of the building, for example: the signal loss through the brick wall is about 10-20dB, K h The value of is set to 1000 in the present invention, L t In the present invention, it is set to 1-2dB / tree;

[0078] S14. Calculate the electromagnetic environment parameter AllLoss (dB) according to the mark. The specific calculation formula is:

[0079]

[0080] Where A represents the characteristic constant of the interference source; P EMI Indicates the power of the electromagnetic interference source; P signal Indicates the transmission power of the target base station; d EMI represents the distance from the electromagnetic interference source to the signal receiving end; B represents the humidity influence constant; RH represents the relative humidity; specifically, P EMI Power is passed through large electronics such as transformers around the paths of mobile communication networks.

[0081] S2. Calculate the first signal quality of the mobile communication network at the signal receiving end according to the terrain environment parameter TotalLoss (dB) and the electromagnetic environment parameter AllLoss (dB); specifically, the calculation formula of the first signal quality RSSI of the mobile communication network is as follows:

[0082] RSSI = P t -(TotalLoss(dB)+AllLoss(dB))

[0083] Where P t Indicates the transmit power of the target base station.

[0084] In step S2 of the present invention, the interference of factors such as the terrain and electromagnetic environment in the working environment of the mobile communication network on the signal strength is comprehensively considered, thereby improving the accuracy of calculating the first signal quality of the mobile communication network at the signal receiving end position. The user's signal quality can be obtained in real time, and adjustments can be made before the user experience declines to ensure network quality.

[0085] S3. Adjust the output power of the mobile communication network according to the first signal quality to suppress signal interference to the mobile communication signal; specifically, in order to avoid mutual interference caused by signal frequencies of the same frequency or similar frequency covering the same area or adjacent areas, the frequencies are generally planned and allocated. Therefore, when the signal quality received by the signal receiving end is poor, in order to avoid interference in a larger range, the output power of the target base station is first adjusted. To this end, in step S3, the following specific steps are included:

[0086] S31, presetting a second signal quality, where the second signal quality is used to indicate the minimum signal quality for completely transmitting a signal;

[0087] S32, determining whether the quality of a first signal of the mobile communication network received by the signal receiving end is higher than the quality of a second signal;

[0088] If so, then end;

[0089] If not, proceed to step S33;

[0090] S33. Increase the signal transmission power of the target base station. Specifically, since the mobile communication networks have different frequencies at the same location, their anti-interference capabilities are also different, so the quality of one of the signals (usually the 5G signal) may be poor, so the transmission frequency of one or both signals can be adjusted separately.

[0091] S34. A protection mechanism is set in the target base station, and the protection mechanism is triggered when the transmission power of the target base station reaches the maximum rated output power; specifically, in order to avoid damage to the device caused by long-term operation exceeding the maximum power, the protection mechanism is specifically as follows:

[0092] When the input level of the signal transmission power exceeds the maximum rated level, the input level continues to be increased. At this time, the signal transmission power is maintained within ±2dB of the maximum rated output power to avoid damage to the signal transmission equipment of the target base station due to excessive signal transmission power.

[0093] In step S3 of the present invention, when the input signal level changes greatly, the output power can be maintained within the range of ±2dB of the maximum output power, which helps to maintain the stability and reliability of the communication link, and reasonable power control can ensure that the signal of each carrier frequency operates within the appropriate power range, reduce mutual interference between carrier frequencies, and improve the overall communication quality. In addition, through the overload protection mechanism, the equipment can be prevented from being damaged due to long-term overload operation, thereby extending the service life of the equipment.

[0094] S4. Analyze whether there is interference in the mobile communication network based on the working information and environmental information;

[0095] If yes, proceed to step S5;

[0096] If not, return to step S1; specifically, since the working scene of the mobile communication network is generally more complicated, there are a large number of objects with smooth surfaces such as buildings and hillsides that reflect signals, and the frequency of the signal remains unchanged when it is reflected or diffracted by these objects, but its intensity will change to a certain extent. Therefore, in the working environment of the mobile communication network, there may be a large number of clutter signals of different intensities with the same frequency or adjacent frequencies, which are easy to cause interference. Therefore, in step S4, the following specific steps are included:

[0097] S41, obtaining reflection and diffraction information of signals of different frequencies on the surfaces of reflective objects of different materials and different angles, and constructing a training set; it should be noted that the reflective objects include buildings such as houses or hillsides. As a further implementation of the present invention, in step S41, the following specific steps are included:

[0098] S411, select a signal of any frequency, select a reflective object surface of any material, arbitrarily set an angle between a vertical line of the reflective surface and the signal source, and use the above information and the position of the reflective object as sample data of a training sample;

[0099] S412: Detect the signal strength of the reflected signal as a sample label of the training sample.

[0100] S42, using the training set to train the interference prediction model to obtain a target prediction model; in the present invention, the interference prediction model is constructed based on a multi-layer perceptron.

[0101] S43. Constructing a first interference broken line and a second interference broken line in the map information according to the position of the target base station or the signal interference source, the position of the signal receiving end, the position of the building, and the angle between the vertical line of the reflecting surface of the reflecting object and the target base station; the first interference broken line represents the path of the signal emitted by the target base station or the signal interference source after one reflection and transmission to the signal receiving end; the second interference broken line represents the path of the signal emitted by the target base station or the signal interference source after two reflections and transmission to the signal receiving end;

[0102] S43, select any first interference broken line, input the signal frequency, signal transmission direction, angle information between the vertical line of the reflecting object and the target base station of the corresponding target base station or signal interference source into the target prediction model, and output the signal strength of the first interference broken line;

[0103] S44, select the first half of any second interference broken line, input the signal frequency, signal transmission direction, angle information between the vertical line of the reflecting object and the target base station of the corresponding target base station or signal interference source into the target prediction model, and output the signal strength of the first half of the interference broken line;

[0104] Input the signal frequency of the corresponding target base station or signal interference source, the propagation direction of the second half of the second interference broken line, and the angle information between the vertical line of the reflecting object and the second half of the second interference broken line into the target prediction model, and output the signal strength of the second interference broken line;

[0105] S45, repeat iterative steps S43-S44 until the first interference broken line signal strengths of all first interference broken lines and the second interference broken line signal strengths of all second interference broken lines are obtained.

[0106] S46, calculating the first possibility of causing an impact on the mobile communication network according to the first interference broken line signal strengths of all first interference broken lines and the second interference broken line signal strengths of the second interference broken lines; as a further implementation of the present invention, in step S46, the following specific steps are included:

[0107] S461. Calculate frequency sensitivity factor α f (f i ), frequency sensitivity factor α f (f i ) is used to reflect the difference in the possibility of interference generated by signals of different frequencies under the same conditions. The specific calculation formula is:

[0108]

[0109] Where k represents the steepness of the control frequency sensitivity; f i represents the signal frequency of the i-th path in the first interference curve and the second interference curve; f0 represents the reference frequency; in the present invention, k is set to 0.6.

[0110] S462. Calculate a normalization constant C. The normalization constant C is used to ensure that the first probability is within a reasonable range. The specific calculation formula is:

[0111]

[0112] Where, N represents the total number of first interference lines; M represents the total number of second interference lines; ω 1i and ω 2i I represents the weight factors of the i-th first interference line and the j-th second interference line respectively; 1i and I 2i represents the first interference broken line signal strength and the second interference broken line signal strength of the i-th first interference broken line and the j-th second interference broken line respectively; α f (f i1 ) and α f (f i2 ) represent the signal frequencies of the i-th first interference line and the j-th second interference line respectively; in the present invention, ω 1i and ω 2iSet to 0.4 and 0.6 respectively.

[0113] S463, according to the frequency sensitivity factor α f (f i ) and the normalization constant C are used to calculate the first probability, and the calculation formula is as follows:

[0114]

[0115] Where P1 represents the first possibility.

[0116] S47, presetting a second possibility, and determining whether the first possibility is higher than the second possibility;

[0117] If so, it means there is interference in the mobile communication network;

[0118] If not, it means that there is no interference in the mobile communication network.

[0119] In step S4 of the present invention, the geographical environment information and electromagnetic information between the target base station and the signal receiving end are comprehensively considered, and the reflection of the signal once or twice by multiple buildings or hillsides is taken into account. When calculating whether interference occurs in the mobile communication network, the calculation accuracy can be effectively improved, thereby improving the user experience.

[0120] S5. Adjust the frequency of the mobile communication network. Specifically, since high-frequency signals have a shorter propagation distance and are easily blocked by buildings and other obstacles, reflection and diffraction have a greater impact on high-frequency signals, resulting in rapid attenuation of signal strength and more serious multipath effects. Therefore, the frequency of the mobile communication network can be appropriately lowered.

[0121] Those skilled in the art can understand that all or part of the steps in the above embodiment methods can be completed by instructing the relevant hardware through a program, so the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0122] The above implementation methods have been described in detail. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for suppressing signal interference of mobile communication network signals, characterized in that: The specific steps include: S1. Obtain the working information of the target base station and the environmental information of the target location, and calculate the terrain environment parameter TotalLoss (dB) and the electromagnetic environment parameter AllLoss (dB); S2. Calculate the first signal quality of the mobile communication network at the signal receiving end location according to the terrain environment parameter TotalLoss (dB) and the electromagnetic environment parameter AllLoss (dB); S3. adjusting the output power of the mobile communication network according to the first signal quality to suppress signal interference to the mobile communication signal; S4. Analyze whether there is interference in the mobile communication network based on the working information and environmental information; If yes, proceed to step S5; If not, return to step S1; S5. Adjust the frequency of the mobile communication network.

2. The signal interference suppression method according to claim 1, characterized in that: The operating information of the target base station includes the frequency and output power of the mobile communication network; The environmental information of the target location includes terrain environmental parameters and electromagnetic environmental parameters.

3. The signal interference suppression method according to claim 2, characterized in that: In step S1, the following steps are specifically included: S11, obtaining map information and electromagnetic information of the target location; S12. Annotate the map information, where the annotated content includes the target base station location, the signal receiving terminal location, the house location, the house size, the tree location, the hillside location, the hillside size, and the location of the electromagnetic interference source; Marking the map information according to the electromagnetic information, the marked content includes the power and relative humidity of the electromagnetic interference source; S13. Calculate the terrain environment parameter TotalLoss (dB) according to the annotation. The specific calculation formula is: Where d1 represents the straight-line distance between the target base station and the signal receiving end; f represents the frequency of the mobile communication signal; c represents the speed of light; N represents the number of buildings between the target base station and the signal receiving end; L b represents the average shading loss of each building; K h represents the terrain constant; h represents the height of the hill; d2 represents the distance between the mobile communication network path and the hill; N t represents the number of trees in the mobile communication network path; L t represents the average occlusion loss of each tree; S14. Calculate the electromagnetic environment parameter AllLoss (dB) according to the mark. The specific calculation formula is: Where A represents the characteristic constant of the interference source; P EMI Indicates the power of the electromagnetic interference source; P signal Indicates the transmission power of the target base station; d EMI It represents the distance from the electromagnetic interference source to the signal receiving end; B represents the humidity influence constant; RH represents the relative humidity.

4. The signal interference suppression method according to claim 3, characterized in that: The calculation formula of the first signal quality RSSI of the mobile communication network is specifically: RSSI=P t -(TotalLoss(dB)+AllLoss(dB)) Where P t Indicates the transmit power of the target base station.

5. The signal interference suppression method according to claim 1, characterized in that: In step S3, the following specific steps are included: S31, presetting a second signal quality, where the second signal quality is used to indicate the minimum signal quality for completely transmitting a signal; S32, determining whether the quality of a first signal of the mobile communication network received by the signal receiving end is higher than the quality of a second signal; If so, then end; If not, proceed to step S33; S33, increasing the signal transmission power of the target base station; S34. Setting a protection mechanism in the target base station, and triggering the protection mechanism when the transmission power of the target base station reaches the maximum rated output power.

6. The signal interference suppression method according to claim 3, characterized in that: In step S4, the following specific steps are included: S41, obtaining reflection and diffraction information of signals of different frequencies on the surfaces of reflective objects of different materials and different angles, and constructing a training set; S42, using the training set to train the interference prediction model to obtain a target prediction model; S43. Constructing a first interference broken line and a second interference broken line in the map information according to the position of the target base station or the signal interference source, the position of the signal receiving end, the position of the building, and the angle between the vertical line of the reflecting surface of the reflecting object and the target base station; the first interference broken line represents the path of the signal emitted by the target base station or the signal interference source after one reflection and transmission to the signal receiving end; the second interference broken line represents the path of the signal emitted by the target base station or the signal interference source after two reflections and transmission to the signal receiving end; S43, select any first interference broken line, input the signal frequency, signal transmission direction, angle information between the vertical line of the reflecting object and the target base station of the corresponding target base station or signal interference source into the target prediction model, and output the signal strength of the first interference broken line; S44, select the first half of any second interference broken line, input the signal frequency, signal transmission direction, angle information between the vertical line of the reflecting object and the target base station of the corresponding target base station or signal interference source into the target prediction model, and output the signal strength of the first half of the interference broken line; Input the signal frequency of the corresponding target base station or signal interference source, the propagation direction of the second half of the second interference broken line, and the angle information between the vertical line of the reflecting object and the second half of the second interference broken line into the target prediction model, and output the signal strength of the second interference broken line; S45, repeating iterative steps S43-S44 until the first interference broken line signal strengths of all first interference broken lines and the second interference broken line signal strengths of all second interference broken lines are obtained; S46, calculating a first possibility of causing an impact on the mobile communication network according to the first interference broken line signal strengths of all first interference broken lines and the second interference broken line signal strengths of the second interference broken lines; S47, presetting a second possibility, and determining whether the first possibility is higher than the second possibility; If so, it means there is interference in the mobile communication network; If not, it means that there is no interference in the mobile communication network.

7. The signal interference suppression method according to claim 6, characterized in that: In step S41, the following specific steps are included: S411, select a signal of any frequency, select a reflective object surface of any material, arbitrarily set an angle between a vertical line of the reflective surface and the signal source, and use the above information and the position of the reflective object as sample data of a training sample; S412: Detect the signal strength of the reflected signal as a sample label of the training sample.

8. The signal interference suppression method according to claim 6, characterized in that: In step S46, the following specific steps are included: S461. Calculate frequency sensitivity factor α f (f i ), frequency sensitivity factor α f (f i ) is used to reflect the difference in the possibility of interference generated by signals of different frequencies under the same conditions. The specific calculation formula is: Where k represents the steepness of the control frequency sensitivity; f i represents the signal frequency of the i-th path in the first interference fold line and the second interference fold line; f0 represents the reference frequency; S462. Calculate a normalized constant C. The normalized constant C is used to ensure that the first probability is within a reasonable range. The specific calculation formula is: Where, N represents the total number of first interference lines; M represents the total number of second interference lines; ω 1i and ω 2i I represents the weight factors of the i-th first interference line and the j-th second interference line respectively; 1i and I 2i represents the first interference broken line signal strength and the second interference broken line signal strength of the i-th first interference broken line and the j-th second interference broken line respectively; α f (f i1 ) and α f (f i2 ) represent the signal frequencies of the i-th first interference line and the j-th second interference line respectively; S463, according to the frequency sensitivity factor α f 9f i ) and the normalization constant C are used to calculate the first probability, and the calculation formula is as follows: Where P1 represents the first possibility.

Images