Method and device for identifying fast fading cell, electronic equipment and storage medium

Abstract

The application discloses a fast-fading cell identification method and device, electronic equipment and a storage medium, mainly relates to the field of communication technology, and the main technical scheme comprises: by acquiring the state transition probability between specific wireless signal states, and forming a state transition matrix, and then calculating the similarity between the two matrices to determine whether the to-be-identified cell is a fast-fading cell, the identification of the fast-fading cell is converted into a specific quantitative calculation, and it is clear that the reference cell is a cell with a fast-fading probability less than a preset threshold. Compared with the to-be-identified cell, the similarity between the to-be-identified cell and the reference cell in the wireless signal state transition probability matrix is calculated, the difference between the to-be-identified cell and the low fast-fading probability cell can be determined, and whether the to-be-identified cell is a fast-fading cell can be determined. Compared with the related art, the application does not need to analyze various complex characteristics of each cell manually, and the identification efficiency of the fast-fading cell is improved.

Description

Technical Field

[0001] This application relates to the field of communication technology, and in particular to a method and apparatus for identifying fast fading cells, an electronic device, and a storage medium. Background Technology

[0002] Fast fading refers to the phenomenon where radio signals from scattering objects (terrain, ground features, and moving objects) near a mobile terminal are superimposed at the receiving point, causing rapid fluctuations in the received radio signal. Fast fading cells are cells where fast fading occurs frequently. Fast fading cells have a significant impact on the communication quality of mobile terminals and need to be identified.

[0003] In technologies related to the identification of fast-fading cells, the identification of fast-fading cells is usually done manually, which results in low identification efficiency. Summary of the Invention

[0004] This application provides a method, apparatus, electronic device, and storage medium for identifying fast-fading cells. Its main purpose is to solve the problem of low identification efficiency of fast-fading cells.

[0005] According to a first aspect of this application, a method for identifying fast-fading cells is provided, comprising:

[0006] The method obtains all first state transition probabilities between at least two radio signal states of the cell to be identified, and obtains all second state transition probabilities between at least two radio signal states of the reference cell; the reference cell is a cell with a fast fading probability less than a preset threshold.

[0007] All the first state transition probabilities are combined to form a first state transition matrix, and all the second state transition probabilities are combined to form a second state transition matrix;

[0008] Calculate the similarity between the first state transition matrix and the second state transition matrix;

[0009] If the similarity is less than a preset first similarity threshold, then the cell to be identified is determined to be a fast fading cell.

[0010] Optionally, obtaining all first state transition probabilities between at least two radio signal states of the cell to be identified includes:

[0011] Obtain the signal strength of all wireless signals of the cell to be identified within a historical time period;

[0012] Based on the signal strength of all the wireless signals, determine the wireless signal status of all the wireless signals at different acquisition times:

[0013] Calculate the transition probabilities of all first states based on the wireless signal status at different acquisition times.

[0014] Optionally, determining the wireless signal status of all wireless signals at different acquisition times based on the signal strength of all wireless signals includes:

[0015] The wireless signal state of the wireless signal whose signal strength is greater than a preset first strength threshold among all the wireless signals is determined as the first wireless signal state;

[0016] The wireless signal state of the wireless signal whose signal strength is less than or equal to the preset first strength threshold and whose signal strength is greater than the preset second strength threshold is determined as the second wireless signal state.

[0017] The wireless signal state of the wireless signal whose signal strength is less than or equal to the preset second strength threshold among all the wireless signals is determined as the third wireless signal state;

[0018] The at least two wireless signal states include the first wireless signal state, the second wireless signal state, and the third wireless signal state.

[0019] Optionally, after determining that the cell to be identified is a fast-fading cell, the method further includes:

[0020] If the similarity is greater than a preset second similarity threshold, then the location information of all mobile terminals of the third wireless signal is obtained;

[0021] If the number of location information items is greater than a preset threshold, it is determined that the antenna feeder equipment covering the location information in the fast fading cell is faulty, and a first alarm message is output to repair the antenna feeder equipment covering the location information in the cell to be identified, so that the antenna feeder equipment covering the location information in the cell to be identified can be repaired based on the first alarm message.

[0022] If the number of location information items is less than or equal to a preset threshold, it is determined that there is signal obstruction in the environment corresponding to the location information in the fast fading cell, and a control command is output to enhance the signal of the antenna feeder device covering the location information in the cell to be identified, so as to enhance the signal of the antenna feeder device covering the location information in the cell to be identified based on the control command.

[0023] Optionally, after determining that the cell to be identified is a fast-fading cell, the method further includes:

[0024] If the similarity is less than or equal to the preset second similarity threshold, it is determined that all antenna feeder devices in the fast fading cell are faulty, and a second alarm message for repairing all antenna feeder devices is output so that all antenna feeder devices can be repaired based on the second alarm message.

[0025] Optionally, after calculating the similarity between the first state transition matrix and the second state transition matrix, the method further includes:

[0026] If the similarity is greater than or equal to the preset first similarity threshold, then the cell to be identified is determined not to be a fast fading cell.

[0027] According to a second aspect of this application, a device for identifying fast-fading cells is provided, comprising:

[0028] The acquisition unit is used to acquire all first state transition probabilities between at least two wireless signal states of the cell to be identified, and to acquire all second state transition probabilities between at least two wireless signal states of the reference cell; the reference cell is a cell with a fast fading probability less than a preset threshold.

[0029] The constituent unit is used to form a first state transition matrix from all the first state transition probabilities and to form a second state transition matrix from all the second state transition probabilities.

[0030] The first calculation unit is used to calculate the similarity between the first state transition matrix and the second state transition matrix;

[0031] The determining unit is used to determine that the cell to be identified is a fast fading cell when the similarity is less than a preset first similarity threshold.

[0032] Optionally, the acquisition unit includes:

[0033] The acquisition module is used to acquire the signal strength of all wireless signals of the cell to be identified within a historical time period;

[0034] The determination module is used to determine the wireless signal status of all wireless signals at different acquisition times based on the signal strength of all wireless signals.

[0035] The calculation module is used to calculate the transition probabilities of all first states based on the wireless signal status at different acquisition times.

[0036] Optionally, the determining module is further used to,

[0037] The wireless signal state of the wireless signal whose signal strength is greater than a preset first strength threshold among all the wireless signals is determined as the first wireless signal state;

[0038] The wireless signal state of the wireless signal whose signal strength is less than or equal to the preset first strength threshold and whose signal strength is greater than the preset second strength threshold is determined as the second wireless signal state.

[0039] The wireless signal state of the wireless signal whose signal strength is less than or equal to the preset second strength threshold among all the wireless signals is determined as the third wireless signal state;

[0040] The at least two wireless signal states include the first wireless signal state, the second wireless signal state, and the third wireless signal state.

[0041] Optionally, the device further includes:

[0042] The acquisition unit is further configured to, after determining that the cell to be identified is a fast fading cell, acquire the location information of all mobile terminals of the third wireless signal when the similarity is greater than a preset second similarity threshold.

[0043] The determining unit is further configured to, when the number of location information is greater than a preset number threshold, determine that the antenna feeder equipment covering the location information in the fast fading cell is faulty, and output a first alarm message to repair the antenna feeder equipment covering the location information in the cell to be identified, so as to repair the antenna feeder equipment covering the location information in the cell to be identified based on the first alarm message;

[0044] The determining unit is further configured to, when the number of location information is less than or equal to a preset number threshold, determine that there is signal obstruction in the environment corresponding to the location information in the fast fading cell, and output a control command to enhance the signal of the antenna feeder device covering the location information in the cell to be identified, so as to enhance the signal of the antenna feeder device covering the location information in the cell to be identified based on the control command.

[0045] Optionally, the device further includes:

[0046] The determining unit is further configured to, after determining that the cell to be identified is a fast fading cell, when the similarity is less than or equal to the preset second similarity threshold, determine that all antenna feeder devices in the fast fading cell are faulty, and output a second alarm message for repairing all antenna feeder devices, so as to repair all antenna feeder devices based on the second alarm message.

[0047] Optionally, the device further includes:

[0048] The determining unit is further configured to, after calculating the similarity between the first state transition matrix and the second state transition matrix, determine that the cell to be identified is not a fast fading cell when the similarity is greater than or equal to the preset first similarity threshold.

[0049] According to a third aspect of this application, an electronic device is provided, comprising:

[0050] At least one processor; and

[0051] A memory communicatively connected to the at least one processor; wherein,

[0052] The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect above.

[0053] According to a fourth aspect of this application, a non-transitory computer-readable storage medium is provided storing computer instructions, wherein the computer instructions are configured to cause the computer to perform the method described in the first aspect above.

[0054] According to a fifth aspect of this application, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the method described in the first aspect above.

[0055] The fast-fading cell identification method, apparatus, electronic device, and storage medium provided in this application acquire the state transition probabilities between specific wireless signal states and form them into a state transition matrix. The similarity between the two matrices is then calculated to determine whether the cell to be identified is a fast-fading cell. This transforms the identification of fast-fading cells into a specific quantitative calculation. A reference cell is identified as a cell with a fast-fading probability less than a preset threshold. This reference cell is used as a standard for comparison with the cell to be identified. By calculating the similarity between the cell to be identified and the reference cell in the wireless signal state transition probability matrix, the degree of difference between the cell to be identified and cells with low fast-fading probabilities can be determined, thereby determining whether the cell to be identified is a fast-fading cell. Compared with related technologies, this application eliminates the need for manual analysis of the various complex features of each cell, improving the efficiency of fast-fading cell identification.

[0056] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0057] The accompanying drawings are provided for a better understanding of this solution and do not constitute a limitation of this application. Wherein:

[0058] Figure 1 A flowchart illustrating a method for identifying fast-fading cells provided in an embodiment of this application;

[0059] Figure 2 A schematic diagram illustrating a wireless signal state classification standard provided in an embodiment of this application;

[0060] Figure 3 A diagram illustrating a state transition matrix provided in an embodiment of this application;

[0061] Figure 4 A visualization of a wireless signal state transition provided in an embodiment of this application;

[0062] Figure 5 This is a data display diagram of a test report provided in an embodiment of this application;

[0063] Figure 6 A schematic diagram of the structure of a fast fading cell identification device provided in an embodiment of this application;

[0064] Figure 7 A schematic diagram of another fast-fading cell identification device provided in an embodiment of this application;

[0065] Figure 8 A schematic block diagram of an example electronic device provided for embodiments of this application. Detailed Implementation

[0066] The following description, in conjunction with the accompanying drawings, illustrates exemplary embodiments of this application, including various details to aid understanding. These should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this application. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0067] The following description, with reference to the accompanying drawings, describes a method and apparatus for identifying fast-fading cells, an electronic device, and a storage medium according to embodiments of this application.

[0068] Figure 1 This is a flowchart illustrating a method for identifying fast-fading cells provided in an embodiment of this application.

[0069] like Figure 1 As shown, this method is applied to a server and includes the following steps:

[0070] Step 101: Obtain all first state transition probabilities between at least two wireless signal states of the cell to be identified, and obtain all second state transition probabilities between at least two wireless signal states of the reference cell; the reference cell is a cell with a fast fading probability less than a preset threshold.

[0071] The cell to be identified is a cell that needs to be determined whether it is a fast-fading cell. In a communication system, a cell is a basic building block of a mobile communication network. A cell has a certain coverage area, within which it provides communication services to mobile terminals. For example, if a certain area of ​​a city is covered by the signals of one or more base stations, this coverage area can be considered a cell.

[0072] Wireless signal status is categorized based on the signal strength of the wireless signal. In this embodiment, wireless signal status can be divided into three types: a first wireless signal status, a second wireless signal status, and a third wireless signal status. The first wireless signal status refers to the status of wireless signals whose signal strength is greater than a preset first strength threshold among all wireless signals within a historical time period for the cell to be identified. The second wireless signal status refers to the status of wireless signals whose signal strength is less than or equal to the preset first strength threshold and greater than a preset second strength threshold among all wireless signals within a historical time period for the cell to be identified. The third wireless signal status refers to the status of wireless signals whose signal strength is less than or equal to the preset second strength threshold among all wireless signals within a historical time period for the cell to be identified. The preset first strength threshold is greater than the preset second strength threshold. This embodiment does not limit the specific thresholds for the preset first and second strength thresholds. However, it should be clarified that this description is not intended to limit the wireless signal status to only these three types; other numbers of wireless signal statuses are also possible.

[0073] To facilitate a better understanding of the division of wireless signal states, such as Figure 2 As shown, Figure 2 This is a schematic diagram of a wireless signal state division standard provided in an embodiment of this application. The good point is the first wireless signal state, the usable point is the second wireless signal state, the fast decay point is the third wireless signal state, RSRP is the signal strength of the wireless signal, -85dBm is the preset first strength threshold, and -95dBm is the preset second strength threshold.

[0074] State transition probability refers to the probability that a wireless signal will transition from one state to another. For example, the probability that a wireless signal will transition from a first wireless signal state to a second wireless signal state, the probability that a wireless signal will transition from a first wireless signal state to a third wireless signal state, the probability that a wireless signal will transition from a second wireless signal state to a first wireless signal state, the probability that a wireless signal will transition from a second wireless signal state to a third wireless signal state, the probability that a wireless signal will transition from a third wireless signal state to a first wireless signal state, and the probability that a wireless signal will transition from a third wireless signal state to a second wireless signal state.

[0075] A reference cell is a cell whose known fast fading probability is less than a preset threshold. The reference cell acts as a standard or reference point, with a relatively low fast fading probability; that is, within a reference cell, the wireless signal is less likely to experience rapid fluctuations in fast fading. By comparing the reference cell with the cell to be identified, it can help determine whether the cell to be identified is a fast fading cell. For example, if the fast fading probability threshold for a cell is set to 10%, then cells with a fast fading probability less than 10% can be used as reference cells. This application does not limit the specific value of the preset threshold in its embodiments.

[0076] This analysis, based on the state transition probabilities of wireless signals in different cells, comprehensively considers the transition relationships between various wireless signal states. Compared to a single indicator or simple judgment method, it can more comprehensively and accurately reflect the wireless signal characteristics of a cell. Because the wireless signal state changes in fast-fading cells are complex and frequent, analyzing the state transition probabilities can capture these complex change patterns, thereby improving the accuracy of fast-fading cell identification and reducing false positives and false negatives.

[0077] Step 102: Form a first state transition matrix by combining all the first state transition probabilities, and form a second state transition matrix by combining all the second state transition probabilities.

[0078] The state transition matrix is ​​a matrix composed of all state transition probabilities of a cell. It describes the transitions of a radio signal between different states. The first state transition matrix corresponds to the cell to be identified, and the second state transition matrix corresponds to the reference cell.

[0079] To facilitate a better understanding of the state transition matrix, such as Figure 3 As shown, Figure 3This is a diagram illustrating a state transition matrix provided in an embodiment of this application. The good points represent the first wireless signal state, the usable points represent the second wireless signal state, and the fast-fading points represent the third wireless signal state. 93.28% represents the probability of transitioning from the first wireless signal state to the first wireless signal state, and 92.48% represents the probability of transitioning from the second wireless signal state to the first wireless signal state. Similarly, the explanations for 94.23%, 5.90%, 6.61%, 3.85%, 0.82%, 0.91%, and 1.92% are similar to those for 93.28% and 92.48%, and will not be repeated here.

[0080] To facilitate a better understanding of the transitions between different wireless signal states, such as Figure 4 As shown, Figure 4 This is a visualization of a wireless signal state transition provided in an embodiment of this application. The good point represents the first wireless signal state, the usable point represents the second wireless signal state, the starting point of the arrow is the state before the wireless signal state transition, and the ending point of the arrow is the state after the wireless signal state transition.

[0081] A state transition matrix is ​​a mathematical structure that organizes state transition probabilities in matrix form, making subsequent calculations and analysis more standardized and convenient. Matrix operations allow for the efficient calculation of the similarity between two state transition matrices.

[0082] Step 103: Calculate the similarity between the first state transition matrix and the second state transition matrix.

[0083] The similarity can be calculated using the Pearson correlation coefficient algorithm, which can be implemented using formula (1):

[0084]

[0085] Where r is the similarity, x i The first state transition probability. y is the average of the first state transition probabilities. i The second state transition probability. This represents the average value of the second state transition probability.

[0086] The calculation formula can be achieved through formula (2):

[0087]

[0088] Where n is the number of first state transition probabilities.

[0089] The calculation formula can be achieved through formula (3):

[0090]

[0091] The Pearson correlation coefficient algorithm can also be used to calculate the correlation coefficient using formula (4):

[0092]

[0093] Where r is the similarity, cov(x,y) is the covariance between the first and second state transition matrices, and σ x Let σ be the standard deviation of the first state transition matrix. y denoted as the standard deviation of the second state transition matrix.

[0094] The formula for calculating cov(x,y) can be implemented using formula (5):

[0095]

[0096] σ x The calculation can be performed using formula (6):

[0097]

[0098] σ y The calculation can be performed using formula (7):

[0099]

[0100] Compared to traditional manual methods for identifying fast-fading cells, the matrix similarity calculation method can be implemented quickly through algorithms. Computers can efficiently process matrix operations, rapidly derive similarity results, and thus quickly determine the attributes of the cell to be identified. This significantly improves the efficiency of fast-fading cell identification, enabling the analysis and judgment of a large number of cells in a short time, meeting the needs of real-time cell monitoring and management in practical communication networks.

[0101] Step 104: If the similarity is less than a preset first similarity threshold, then the cell to be identified is determined to be a fast fading cell.

[0102] To facilitate understanding, an example is provided: assuming a similarity of 0.9 and a preset first similarity threshold of 0.95, the cell to be identified is determined to be a fast-fading cell. However, it should be clarified that this statement is not intended to limit the value of the preset first similarity threshold to 0.95, but it can also be other values.

[0103] If the fast fading probability of the reference cell is less than a preset threshold, its second state transition matrix represents a relatively stable and normal wireless signal state transition pattern. When the similarity between the first state transition matrix of the cell to be identified and the second state transition matrix of the reference cell is less than a preset first similarity threshold, it indicates that the wireless signal state transition characteristics of the cell to be identified differ significantly from the normal situation. Since the wireless signal state changes of fast-fading cells are complex and frequent, this significant difference is likely caused by the fast fading phenomenon. Therefore, this judgment rule can more accurately identify fast-fading cells and reduce the possibility of misjudgment.

[0104] The fast-fading cell identification method provided in this application obtains the state transition probabilities between specific radio signal states and forms them into a state transition matrix. Then, it calculates the similarity between the two matrices to determine whether the cell to be identified is a fast-fading cell. This method transforms the identification of fast-fading cells into a specific quantitative calculation. A reference cell is defined as a cell with a fast-fading probability less than a preset threshold. Using this reference cell as a standard, the method compares it with the cell to be identified. By calculating the similarity between the cell to be identified and the reference cell in the radio signal state transition probability matrix, the degree of difference between the cell to be identified and cells with low fast-fading probabilities can be determined, thereby determining whether the cell to be identified is a fast-fading cell. Compared with related technologies, this application eliminates the need for manual analysis of the various complex features of each cell, improving the efficiency of fast-fading cell identification.

[0105] As a refinement of step 101, when performing the step of obtaining all first state transition probabilities between at least two wireless signal states of the cell to be identified, the following methods may be used, but are not limited to: obtaining the signal strength of all wireless signals of the cell to be identified within a historical time period; determining the wireless signal state of all wireless signals at different acquisition times based on the signal strength of all wireless signals; and calculating all first state transition probabilities based on the wireless signal states at different acquisition times.

[0106] Wireless signals refer to electromagnetic wave signals transmitted or received by mobile terminals or antenna feeders in a wireless communication system. Signal strength is an important indicator of the strength of a wireless signal, reflecting the amount of energy carried by the wireless signal during propagation. A test report is a report containing information related to the wireless signal sent by the mobile terminal. The mobile terminal periodically or according to specific rules collects and records various parameters of the wireless signals it receives, and compiles this information into a test report which is then sent to the antenna feeder.

[0107] To facilitate a better understanding of the test report, such as Figure 5 As shown, Figure 5This is a data display diagram of a test report provided in an embodiment of this application. scell_eci is the cell number, RSRP is the signal strength, fast decay points are the third wireless signal state, available points are the second wireless signal state, and good points are the first wireless signal state.

[0108] The first state transition probability can be calculated using formula (8):

[0109]

[0110] Among them, P ij Let be the first state transition probability, and state i and state j be any one of the first wireless signal state, the second wireless signal state, and the third wireless signal state.

[0111] By acquiring the signal strength of all wireless signals in the cell to be identified within a historical time period, and determining the wireless signal status at different acquisition times based on the signal strength, the dynamic changes of wireless signals within the cell can be accurately understood.

[0112] As a refinement of the above embodiments, when performing the step of determining the wireless signal state of all wireless signals at different acquisition times based on the signal strength of all wireless signals, it can be implemented in the following manner, but is not limited to: determining the wireless signal state of wireless signals with signal strength greater than a preset first strength threshold as a first wireless signal state; determining the wireless signal state of wireless signals with signal strength less than or equal to the preset first strength threshold and with signal strength greater than a preset second strength threshold as a second wireless signal state; determining the wireless signal state of wireless signals with signal strength less than or equal to the preset second strength threshold as a third wireless signal state; the at least two wireless signal states include the first wireless signal state, the second wireless signal state, and the third wireless signal state.

[0113] To facilitate understanding, an example is provided. Suppose there are three wireless signals, a, b, and c, where the signal strength of a is -80dBm, the signal strength of b is -90dBm, and the signal strength of c is -100dBm. The preset first strength threshold is -85dBm, and the preset second strength threshold is -95dBm. Then a is the first wireless signal state, b is the second wireless signal state, and c is the third wireless signal state.

[0114] Dividing wireless signals into three states based on different strength thresholds provides a detailed and comprehensive reflection of the signal distribution across different strength ranges. A single signal strength value is insufficient to intuitively represent the overall characteristics of a signal, while this state classification clearly shows whether the signal is at a strong, medium, or weak level, facilitating a deeper understanding of the overall wireless signal quality of the cell being identified.

[0115] In practical applications, after determining that the cell to be identified is a fast-fading cell, there are various causes of fast-fading cells. Determining the cause of a fast-fading cell can be achieved, but is not limited to, the following methods: If the similarity is greater than a preset second similarity threshold, then obtain the location information of all mobile terminals of the third wireless signal; if the number of location information is greater than a preset number threshold, then determine that the antenna feeder equipment covering the location information in the fast-fading cell is faulty, and output a first alarm message to repair the antenna feeder equipment covering the location information in the cell to be identified, so as to repair the antenna feeder equipment covering the location information in the cell to be identified based on the first alarm message; if the number of location information is less than or equal to a preset number threshold, then determine that there is signal obstruction in the environment corresponding to the location information in the fast-fading cell, and output a control command to enhance the signal of the antenna feeder equipment covering the location information in the cell to be identified, so as to enhance the signal of the antenna feeder equipment covering the location information in the cell to be identified based on the control command.

[0116] Location information refers to the specific geographical coordinates of a mobile terminal in space. In communication systems, the location information of a mobile terminal can usually be obtained through various methods, such as cellular network-based positioning technology, the Global Positioning System (GPS), and the BeiDou Navigation Satellite System. Antenna feeder equipment is an important component of wireless communication systems, mainly consisting of antennas and feeders. Antennas are used to transmit and receive wireless signals, while feeders are used to transmit wireless signals from base station equipment to antennas, or to transmit signals received by antennas back to base station equipment. The first alarm message is a prompt indicating that the antenna feeder equipment covering a specific location in a fast-fading cell has a fault and needs repair. The environment corresponding to location information refers to the specific physical environment in which the mobile terminal is located, including surrounding buildings, terrain, obstacles, etc. These environmental factors may affect the propagation of wireless signals, such as signal obstruction, reflection, and scattering. A control command is a command used to instruct a device or system to perform a specific operation. In communication systems, control commands can be used to control the operating status and parameter configuration of base station equipment, antenna feeder equipment, etc. In this application embodiment, the specific value of the preset quantity threshold is not limited.

[0117] When the similarity exceeds the preset second similarity threshold, the number of location information is used to determine whether it is a partial or complete fault in the antenna feeder equipment, thereby refining the fault range and facilitating maintenance personnel to quickly locate and repair the faulty equipment.

[0118] In practical applications, after determining that the cell to be identified is a fast fading cell, the cause of the fast fading cell can be determined in the following ways, but not limited to: if the similarity is less than or equal to the preset second similarity threshold, then it is determined that all antenna feeders in the fast fading cell are faulty, and a second alarm message for repairing all antenna feeders is output so that all antenna feeders can be repaired based on the second alarm message.

[0119] The second alarm message typically contains detailed information related to the faulty antenna feeder equipment to help maintenance personnel perform repairs quickly and accurately. Specifically, it may include the following:

[0120] Equipment Identification: Clearly identifies the specific serial number or identifier of all faulty antenna feeder equipment, facilitating precise location of the faulty device among numerous devices by maintenance personnel. Equipment Location: Provides the specific geographical location information of the antenna feeder equipment, such as the exact address and latitude / longitude of the base station, enabling maintenance personnel to quickly reach the fault site. Fault Description: Briefly describes the general situation of the fault, such as abnormal signal strength or unstable signal, allowing maintenance personnel to understand the possible manifestations of the fault in advance and prepare accordingly for repairs.

[0121] In practical applications, after calculating the similarity between the first state transition matrix and the second state transition matrix, the cell to be identified may not be a fast fading cell. Determining that the cell to be identified is not a fast fading cell can be achieved in the following ways, but not limited to: if the similarity is greater than or equal to the preset first similarity threshold, then the cell to be identified is determined to be not a fast fading cell.

[0122] When the first state transition matrix of the cell to be identified and the second state transition matrix of the reference cell are highly similar, it indicates that the radio signal state transition pattern of the cell is similar to that of the reference cell with a low probability of fast fading, and its radio signal state is relatively stable. Without this judgment, unnecessary in-depth inspections, repairs, or adjustments to antenna and feeder equipment might be performed on cells that are not actually experiencing fast fading, consuming significant manpower, material resources, and time. This judgment rule avoids excessive maintenance of normal cells, allowing resources to be concentrated on cells that are truly experiencing fast fading problems.

[0123] In summary, the embodiments of this application can achieve the following effects:

[0124] This application's embodiments obtain the state transition probabilities between specific wireless signal states and form them into a state transition matrix. Then, by calculating the similarity between the two matrices, it determines whether the cell to be identified is a fast-fading cell. The identification of fast-fading cells is transformed into specific quantitative calculations. A reference cell is defined as a cell with a fast-fading probability less than a preset threshold. Using this as a standard, the cell to be identified is compared. By calculating the similarity between the cell to be identified and the reference cell in the wireless signal state transition probability matrix, the degree of difference between the cell to be identified and cells with low fast-fading probabilities can be determined, thereby determining whether the cell to be identified is a fast-fading cell. Compared with related technologies, this application eliminates the need for manual analysis of the various complex features of each cell, improving the efficiency of fast-fading cell identification.

[0125] Corresponding to the aforementioned method for identifying fast-fading cells, this invention also proposes a device for identifying fast-fading cells. Since the device embodiments of this invention correspond to the method embodiments described above, details not disclosed in the device embodiments can be referred to in the method embodiments, and will not be repeated here.

[0126] Figure 6 This is a schematic diagram of a fast-fading cell identification device provided in an embodiment of this application. The device can be applied to a server, such as... Figure 6 As shown, it includes:

[0127] The acquisition unit 21 is used to acquire all first state transition probabilities between at least two wireless signal states of the cell to be identified, and to acquire all second state transition probabilities between at least two wireless signal states of the reference cell; the reference cell is a cell with a fast fading probability less than a preset threshold.

[0128] The component unit 22 is used to form a first state transition matrix from all the first state transition probabilities and to form a second state transition matrix from all the second state transition probabilities.

[0129] The first calculation unit 23 is used to calculate the similarity between the first state transition matrix and the second state transition matrix;

[0130] The determining unit 24 is used to determine the cell to be identified as a fast fading cell when the similarity is less than a preset first similarity threshold.

[0131] The fast-fading cell identification device provided in this application acquires the state transition probabilities between specific radio signal states and forms them into a state transition matrix. It then calculates the similarity between the two matrices to determine whether the cell to be identified is a fast-fading cell. This transforms the identification of fast-fading cells into a specific quantitative calculation. A reference cell is identified as a cell with a fast-fading probability less than a preset threshold. Using this reference cell as a standard, the device compares it with the cell to be identified. By calculating the similarity between the cell to be identified and the reference cell in the radio signal state transition probability matrix, the degree of difference between the cell to be identified and cells with low fast-fading probabilities can be determined, thereby determining whether the cell to be identified is a fast-fading cell. Compared with related technologies, this application eliminates the need for manual analysis of the various complex features of each cell, improving the efficiency of fast-fading cell identification.

[0132] Furthermore, in one possible implementation of the embodiments of this application, such as Figure 7 As shown, the acquisition unit 21 includes:

[0133] The acquisition module 211 is used to acquire the signal strength of all wireless signals of the cell to be identified within a historical time period;

[0134] The determining module 212 is used to determine the wireless signal status of all wireless signals at different acquisition times based on the signal strength of all wireless signals:

[0135] The calculation module 213 is used to calculate the transition probabilities of all first states based on the wireless signal status at different acquisition times.

[0136] Furthermore, in one possible implementation of this application embodiment, the determining module 212 is further used to:

[0137] The wireless signal state of the wireless signal whose signal strength is greater than a preset first strength threshold among all the wireless signals is determined as the first wireless signal state;

[0138] The wireless signal state of the wireless signal whose signal strength is less than or equal to the preset first strength threshold and whose signal strength is greater than the preset second strength threshold is determined as the second wireless signal state.

[0139] The wireless signal state of the wireless signal whose signal strength is less than or equal to the preset second strength threshold among all the wireless signals is determined as the third wireless signal state;

[0140] The at least two wireless signal states include the first wireless signal state, the second wireless signal state, and the third wireless signal state.

[0141] Furthermore, in one possible implementation of the embodiments of this application, such as Figure 7 As shown, the device further includes:

[0142] The acquisition unit 21 is further configured to, after determining that the cell to be identified is a fast fading cell, acquire the location information of all mobile terminals of the third wireless signal when the similarity is greater than a preset second similarity threshold.

[0143] The determining unit 24 is further configured to, when the number of location information is greater than a preset number threshold, determine that the antenna feeder equipment covering the location information in the fast fading cell is faulty, and output a first alarm message to repair the antenna feeder equipment covering the location information in the cell to be identified, so as to repair the antenna feeder equipment covering the location information in the cell to be identified based on the first alarm message;

[0144] The determining unit 24 is further configured to, when the number of location information is less than or equal to a preset number threshold, determine that there is signal obstruction in the environment corresponding to the location information in the fast fading cell, and output a control command to enhance the signal of the antenna feeder device covering the location information in the cell to be identified, so as to enhance the signal of the antenna feeder device covering the location information in the cell to be identified based on the control command.

[0145] Furthermore, in one possible implementation of the embodiments of this application, such as Figure 7 As shown, the device further includes:

[0146] The determining unit 24 is further configured to, after determining that the cell to be identified is a fast fading cell, when the similarity is less than or equal to the preset second similarity threshold, determine that all antenna feeder devices in the fast fading cell are faulty, and output a second alarm message for repairing all antenna feeder devices, so as to repair all antenna feeder devices based on the second alarm message.

[0147] Furthermore, in one possible implementation of the embodiments of this application, such as Figure 7 As shown, the device further includes:

[0148] The determining unit 24 is further configured to, after calculating the similarity between the first state transition matrix and the second state transition matrix, determine that the cell to be identified is not a fast fading cell when the similarity is greater than or equal to the preset first similarity threshold.

[0149] It should be noted that the foregoing explanation of the method embodiments also applies to the apparatus of the embodiments of this application, and the principle is the same. Therefore, the embodiments of this application are not limited thereto.

[0150] According to embodiments of this application, this application also provides an electronic device, a readable storage medium, and a computer program product.

[0151] Figure 8 A schematic block diagram of an example electronic device 300 that can be used to implement embodiments of this application is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the application described and / or claimed herein.

[0152] like Figure 8 As shown, the electronic device 300 includes a second computing unit 301, which can perform various appropriate actions and processes based on a computer program stored in ROM (Read-Only Memory) 302 or a computer program loaded from storage unit 308 into RAM (Random Access Memory) 303. The RAM 303 can also store various programs and data required for the operation of the electronic device 300. The second computing unit 301, ROM 302, and RAM 303 are interconnected via a bus 304. An I / O (Input / Output) interface 305 is also connected to the bus 304.

[0153] Multiple components in electronic device 300 are connected to I / O interface 305, including: input unit 306, such as keyboard, mouse, etc.; output unit 307, such as various types of displays, speakers, etc.; storage unit 308, such as disk, optical disk, etc.; and communication unit 309, such as network card, modem, wireless transceiver, etc. Communication unit 309 allows electronic device 300 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0154] The second computing unit 301 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the second computing unit 301 include, but are not limited to, CPUs (Central Processing Units), GPUs (Graphics Processing Units), various special-purpose AI (Artificial Intelligence) computing chips, various second computing units running machine learning model algorithms, DSPs (Digital Signal Processors), and any suitable processor, controller, microcontroller, etc. The second computing unit 301 performs the various methods and processes described above, such as the method for identifying fast fading cells. For example, in some embodiments, the method for identifying fast fading cells can be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as storage unit 308. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 300 via ROM 302 and / or communication unit 309. When the computer program is loaded into RAM 303 and executed by the second computing unit 301, one or more steps of the methods described above can be performed. Alternatively, in other embodiments, the second computing unit 301 may be configured to perform the aforementioned fast fading cell identification method by any other suitable means (e.g., by means of firmware).

[0155] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application-Specific Standard Products), SOCs (System-on-Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0156] The program code used to implement the methods of this application may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing device, such that when executed by the processor or controller, the functions / operations specified in the flowcharts and / or block diagrams are implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0157] In the context of this application, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, RAM, ROM, EPROM (Electrically Programmable Read-Only Memory) or flash memory, optical fiber, CD-ROM (Compact Disc Read-Only Memory), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0158] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0159] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication (e.g., communication networks) of any form or medium. Examples of communication networks include LANs (Local Area Networks), WANs (Wide Area Networks), the Internet, and blockchain networks.

[0160] Computer systems can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. A server can be a cloud server, also known as a cloud computing server or cloud host, a hosting product within the cloud computing service ecosystem, addressing the shortcomings of traditional physical hosts and VPS (Virtual Private Server, or simply "VPS") services, such as high management difficulty and weak business scalability. Servers can also be servers for distributed systems or servers incorporating blockchain technology.

[0161] It's important to note that artificial intelligence (AI) is the study of enabling computers to simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, and planning). It encompasses both hardware and software technologies. AI hardware technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, and big data processing. AI software technologies primarily include computer vision, speech recognition, natural language processing, machine learning / deep learning, big data processing, and knowledge graph technologies.

[0162] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this application can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this application can be achieved, and this is not limited herein.

[0163] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for identifying fast-fading cells, characterized in that, include: Obtain all first state transition probabilities between at least two radio signal states of the cell to be identified, and obtain all second state transition probabilities between at least two radio signal states of the reference cell; The reference cell is a cell whose fast fading probability is less than a preset threshold; All the first state transition probabilities are combined to form a first state transition matrix, and all the second state transition probabilities are combined to form a second state transition matrix; Calculate the similarity between the first state transition matrix and the second state transition matrix; If the similarity is less than a preset first similarity threshold, then the cell to be identified is determined to be a fast fading cell.

2. The method according to claim 1, characterized in that, The acquisition of all first state transition probabilities between at least two wireless signal states of the cell to be identified includes: Obtain the signal strength of all wireless signals of the cell to be identified within a historical time period; Based on the signal strength of all the wireless signals, determine the wireless signal status of all the wireless signals at different acquisition times: Calculate the transition probabilities of all first states based on the wireless signal status at different acquisition times.

3. The method according to claim 2, characterized in that, The step of determining the wireless signal status of all wireless signals at different acquisition times based on the signal strength of all wireless signals includes: The wireless signal state of the wireless signal whose signal strength is greater than a preset first strength threshold among all the wireless signals is determined as the first wireless signal state; The wireless signal state of the wireless signal whose signal strength is less than or equal to the preset first strength threshold and whose signal strength is greater than the preset second strength threshold is determined as the second wireless signal state. The wireless signal state of the wireless signal whose signal strength is less than or equal to the preset second strength threshold among all the wireless signals is determined as the third wireless signal state; The at least two wireless signal states include the first wireless signal state, the second wireless signal state, and the third wireless signal state.

4. The method according to claim 3, characterized in that, After determining that the cell to be identified is a fast-fading cell, the method further includes: If the similarity is greater than a preset second similarity threshold, then the location information of all mobile terminals of the third wireless signal is obtained; If the number of location information items is greater than a preset threshold, it is determined that the antenna feeder equipment covering the location information in the fast fading cell is faulty, and a first alarm message is output to repair the antenna feeder equipment covering the location information in the cell to be identified, so that the antenna feeder equipment covering the location information in the cell to be identified can be repaired based on the first alarm message. If the number of location information items is less than or equal to a preset threshold, it is determined that there is signal obstruction in the environment corresponding to the location information in the fast fading cell, and a control command is output to enhance the signal of the antenna feeder device covering the location information in the cell to be identified, so as to enhance the signal of the antenna feeder device covering the location information in the cell to be identified based on the control command.

5. The method according to claim 4, characterized in that, After determining that the cell to be identified is a fast-fading cell, the method further includes: If the similarity is less than or equal to the preset second similarity threshold, it is determined that all antenna feeder devices in the fast fading cell are faulty, and a second alarm message for repairing all antenna feeder devices is output so that all antenna feeder devices can be repaired based on the second alarm message.

6. The method according to claim 1, characterized in that, After calculating the similarity between the first state transition matrix and the second state transition matrix, the method further includes: If the similarity is greater than or equal to the preset first similarity threshold, then the cell to be identified is determined not to be a fast fading cell.

7. A device for identifying fast-fading cells, characterized in that, include: The acquisition unit is configured to acquire all first state transition probabilities between at least two radio signal states of the cell to be identified, and to acquire all second state transition probabilities between at least two radio signal states of the reference cell. The reference cell is a cell whose fast fading probability is less than a preset threshold; The constituent unit is used to form a first state transition matrix from all the first state transition probabilities and to form a second state transition matrix from all the second state transition probabilities. The first calculation unit is used to calculate the similarity between the first state transition matrix and the second state transition matrix; The determining unit is used to determine that the cell to be identified is a fast fading cell when the similarity is less than a preset first similarity threshold.

8. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-6.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to perform the method according to any one of claims 1-6.

10. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method according to any one of claims 1-6.

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