Fast fading cell identification method and device, electronic equipment and storage medium

Abstract

The invention discloses a fast fading cell identification method and device, electronic equipment and a storage medium, and mainly relates to the technical field of communication, and the main technical scheme comprises the steps: obtaining the state transition probability between specific wireless signal states, forming a state transition matrix through the state transition probability, and obtaining the state transition matrix; whether the to-be-recognized cell is a fast fading cell is judged by calculating the similarity between the two matrixes, recognition of the fast fading cell is converted into specific quantitative calculation, it is clear that the reference cell is a cell with the fast fading probability smaller than a preset threshold value, and the reference cell is compared with the to-be-recognized cell with the fast fading probability smaller than the preset threshold value as the standard; by calculating the similarity between the to-be-identified cell and the reference cell on the wireless signal state transition probability matrix, the difference degree between the to-be-identified cell and the low fast fading probability cell can be determined, so that whether the to-be-identified cell is a fast fading cell or not can be judged. Compared with the prior art, the method does not need to manually analyze various complex features of each cell one by one, and improves the recognition efficiency of the fast fading cell.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to a method and device for identifying a fast fading cell, an electronic device, and a storage medium. Background Art

[0002] Fast fading refers to the phenomenon that the wireless signals caused by scatterers (terrain, objects and moving objects, etc.) near the mobile terminal are superimposed at the receiving point, causing the mobile terminal to receive rapid fluctuations in the wireless signals. Fast fading cells are cells where fast fading frequently occurs. Fast fading cells have a greater impact on the communication quality of mobile terminals, and fast fading cells need to be identified.

[0003] In the related technologies for identifying fast fading cells, fast fading cells are usually identified manually, which results in low efficiency in identifying fast fading cells. Summary of the invention

[0004] The present application provides a method and device for identifying a fast fading cell, an electronic device and a storage medium, the main purpose of which is to solve the problem of low efficiency in identifying a fast fading cell.

[0005] According to a first aspect of the present application, a method for identifying a fast fading cell is provided, comprising:

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

[0007] Combining all the first state transition probabilities into a first state transfer matrix, and combining all the second state transition probabilities into a second state transfer matrix;

[0008] Calculating the similarity between the first state transfer matrix and the second state transfer matrix;

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

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

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

[0012] Determine the wireless signal status of all the wireless signals at different collection times according to the signal strengths of all the wireless signals:

[0013] All the first state transition probabilities are calculated according to the wireless signal states at the different acquisition moments.

[0014] Optionally, determining the wireless signal states of all the wireless signals at different collection times according to the signal strengths of all the wireless signals includes:

[0015] Determine the wireless signal state of the wireless signal having a signal strength greater than a preset first strength threshold among all the wireless signals as a first wireless signal state;

[0016] Determine the wireless signal state of the wireless signal whose signal strength among all the wireless signals is less than or equal to the preset first strength threshold and whose signal strength among all the wireless signals is greater than the preset second strength threshold as the second wireless signal state;

[0017] Determine the wireless signal state of the wireless signal whose signal strength among all the wireless signals is less than or equal to the preset second strength threshold 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, obtaining the location information of all mobile terminals of the third wireless signal;

[0021] If the amount of the location information is greater than a preset amount threshold, it is determined that the antenna feeder device covering the location information in the fast fading cell is faulty, and first alarm information for repairing the antenna feeder device covering the location information in the to-be-identified cell is output, so that the antenna feeder device covering the location information in the to-be-identified cell is repaired based on the first alarm information;

[0022] If the amount of the location information is less than or equal to a preset number 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 instruction for performing signal enhancement on the antenna feed device covering the location information in the cell to be identified is output, so that based on the control instruction, the signal of the antenna feed device covering the location information in the cell to be identified is enhanced.

[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 feed devices in the fast fading cell are faulty, and second alarm information for repairing all antenna feed devices is output, so that all antenna feed devices are repaired based on the second alarm information.

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

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

[0027] According to a second aspect of the present application, a device for identifying a fast fading cell is provided, including:

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

[0029] A composition unit, used for composing all the first state transfer probabilities into a first state transfer matrix, and composing all the second state transfer probabilities into a second state transfer matrix;

[0030] A first calculation unit, configured to calculate a similarity between the first state transfer matrix and the second state transfer matrix;

[0031] The determining unit is configured 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 acquiring unit includes:

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

[0034] A determination module is used to determine the wireless signal status of all the wireless signals at different collection times according to the signal strength of all the wireless signals:

[0035] The calculation module is used to calculate all the first state transition probabilities according to the wireless signal states at the different collection moments.

[0036] Optionally, the determining module is further configured to:

[0037] Determine the wireless signal state of the wireless signal having a signal strength greater than a preset first strength threshold among all the wireless signals as a first wireless signal state;

[0038] Determine the wireless signal state of the wireless signal whose signal strength among all the wireless signals is less than or equal to the preset first strength threshold and whose signal strength among all the wireless signals is greater than the preset second strength threshold as the second wireless signal state;

[0039] Determine the wireless signal state of the wireless signal whose signal strength among all the wireless signals is less than or equal to the preset second strength threshold 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 comprises:

[0042] The acquisition unit is further configured to, after determining that the to-be-identified cell 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 amount of the location information is greater than a preset amount threshold, determine that the antenna feeder device covering the location information in the fast fading cell is faulty, and output first alarm information for repairing the antenna feeder device covering the location information in the cell to be identified, so as to repair the antenna feeder device covering the location information in the cell to be identified based on the first alarm information;

[0044] The determination unit is further used to, when the amount of the location information is less than or equal to a preset amount threshold, determine that there is signal shielding in the environment corresponding to the location information in the fast fading cell, and output a control instruction for performing signal enhancement on the antenna feed device covering the location information in the cell to be identified, so as to perform signal enhancement on the antenna feed device covering the location information in the cell to be identified based on the control instruction.

[0045] Optionally, the device further comprises:

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

[0047] Optionally, the device further comprises:

[0048] The determining unit is further configured to, after calculating the similarity between the first state transfer matrix and the second state transfer matrix, determine that the to-be-identified cell 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 the present application, an electronic device is provided, including:

[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, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect.

[0053] According to a fourth aspect of the present application, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the method described in the first aspect above.

[0054] According to a fifth aspect of the present application, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the method according to the first aspect is implemented.

[0055] The fast fading cell identification method and device, electronic device and storage medium provided by the present application obtain the state transition probability between specific wireless signal states and form a state transition matrix, and then determine whether the cell to be identified is a fast fading cell by calculating the similarity between the two matrices, convert the identification of the fast fading cell into a specific quantitative calculation, clarify that the reference cell is a cell with a fast fading probability less than a preset threshold, and use this as a standard to compare with the cell to be identified. By calculating the similarity between the cell to be identified and the reference cell on the wireless signal state transition probability matrix, the difference between the cell to be identified and the cell with low fast fading probability can be determined, thereby determining whether the cell to be identified is a fast fading cell. Compared with the related art, the present application does not need to manually analyze the various complex features of each cell one by one, thereby improving the identification efficiency of fast fading cells.

[0056] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present application.

[0058] Figure 1 A flowchart of a method for identifying a fast fading cell provided in an embodiment of the present application;

[0059] Figure 2 A schematic diagram of a wireless signal status classification standard provided in an embodiment of the present application;

[0060] Figure 3 A display diagram of a state transfer matrix provided in an embodiment of the present application;

[0061] Figure 4 A visualization effect diagram of a wireless signal state transition provided in an embodiment of the present application;

[0062] Figure 5 A data display diagram of a test report provided in an embodiment of the present application;

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

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

[0065] Figure 8 A schematic block diagram of an example electronic device provided for an embodiment of the present application. DETAILED DESCRIPTION

[0066] The following is a description of exemplary embodiments of the present application in conjunction with the accompanying drawings, including various details of the embodiments of the present application to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present application. Similarly, for the sake of clarity and conciseness, the description of well-known functions and structures is omitted in the following description.

[0067] The following describes a fast fading cell identification method and device, an electronic device, and a storage medium according to an embodiment of the present application with reference to the accompanying drawings.

[0068] Figure 1 A flowchart of a method for identifying a fast fading cell provided in an embodiment of the present application.

[0069] like Figure 1 As shown, the method is applied in a server, and the method comprises the following steps:

[0070] Step 101, obtaining all first state transition probabilities between at least two wireless signal states of a cell to be identified, and obtaining all second state transition probabilities between at least two wireless signal states of a 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 judged as a fast fading cell. In the communication system, a cell is a basic component of a mobile communication network. A cell has a certain coverage area and provides communication services to mobile terminals within the coverage area. For example, a certain area in a city is covered by the signals of one or more base stations, and this coverage area can be regarded as a cell.

[0072] The wireless signal state is a different state divided according to the signal strength of the wireless signal. In the embodiment of the present application, the wireless signal state can be divided into three types, including the first wireless signal state, the second wireless signal state and the third wireless signal state, wherein the first wireless signal state refers to the state of the wireless signal whose signal strength is greater than the preset first strength threshold in all wireless signals of the cell to be identified in the historical time period, the second wireless signal state refers to the state of the wireless signal whose signal strength is less than or equal to the preset first strength threshold and greater than the preset second strength threshold in all wireless signals of the cell to be identified in the historical time period, the third wireless signal state refers to the state of the wireless signal whose signal strength is less than or equal to the preset second strength threshold in all wireless signals of the cell to be identified in the historical time period, the preset first strength threshold is greater than the preset second strength threshold, and the embodiment of the present application does not limit the specific thresholds of the preset first strength threshold and the preset second strength threshold. However, it should be clear that this statement is not intended to limit the wireless signal state to only the above three types, but also to other numbers of wireless signal states.

[0073] In order to better understand the division of wireless signal status, such as Figure 2 As shown, Figure 2 A schematic diagram of a wireless signal status classification standard provided in an embodiment of the present application, wherein a good point is a first wireless signal state, an available point is a second wireless signal state, a fast decay point is a third wireless signal state, RSRP is the signal strength of the wireless signal, -85dBm is a preset first strength threshold, and -95dBm is a preset second strength threshold.

[0074] The state transition probability refers to the probability that a wireless signal transfers from one state to another, for example, the probability that a wireless signal transfers from a first wireless signal state to a second wireless signal state, the probability that a wireless signal transfers from a first wireless signal state to a third wireless signal state, the probability that a wireless signal transfers from a second wireless signal state to a first wireless signal state, the probability that a wireless signal transfers from a second wireless signal state to a third wireless signal state, the probability that a wireless signal transfers from a third wireless signal state to a first wireless signal state, and the probability that a wireless signal transfers from a third wireless signal state to a second wireless signal state.

[0075] A reference cell is a cell whose fast fading probability is known to be less than a preset threshold. The reference cell is like a standard or reference object, and its fast fading probability is relatively low, that is, in the reference cell, the wireless signal is less likely to experience fast fading with rapid fluctuations. 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 of a cell is set to 10%, then a cell with a fast fading probability of less than 10% can be used as a reference cell. The embodiment of the present application does not limit the specific value of the preset threshold.

[0076] The analysis is based on the radio signal state transition probability of different cells, and the transition relationship between multiple radio signal states is comprehensively considered. Compared with a single indicator or a simple judgment method, it can more comprehensively and accurately reflect the radio signal characteristics of the cell. Because the radio signal state changes in fast fading cells are more complex and frequent, by analyzing the state transition probability, this complex change pattern can be captured, thereby improving the accuracy of fast fading cell identification and reducing misjudgment and missed judgment.

[0077] Step 102: Combining all the first state transition probabilities into a first state transfer matrix, and combining all the second state transition probabilities into a second state transfer matrix.

[0078] The state transfer matrix is ​​a matrix composed of all state transition probabilities of a cell. The state transfer matrix is ​​used to describe the transition of wireless signals between different states. The first state transfer matrix corresponds to the cell to be identified, and the second state transfer matrix corresponds to the reference cell.

[0079] In order to better understand the state transfer matrix, Figure 3 As shown, Figure 3A display diagram of a state transfer matrix provided in an embodiment of the present application, the good point is the first wireless signal state, the available point is the second wireless signal state, the fast decay point is the third wireless signal state, 93.28% is the probability of the first wireless signal state transferring to the first wireless signal state, 92.48% is the probability of the second wireless signal state transferring to the first wireless signal state, similarly, the descriptions of 94.23%, 5.90%, 6.61%, 3.85%, 0.82%, 0.91%, and 1.92% are similar to those of 93.28% and 92.48%, and the present application will not repeat them.

[0080] In order to better understand the transition between different wireless signal states, such as Figure 4 As shown, Figure 4 A visualization effect diagram of a wireless signal state transfer provided in an embodiment of the present application, wherein a good point is a first wireless signal state, an available point is a second wireless signal state, the starting point of the arrow is a state before the wireless signal state transfer, and the end point of the arrow is a state after the wireless signal state transfer.

[0081] The state transfer matrix is ​​a mathematical structure that organizes the state transfer probability in the form of a matrix, making subsequent calculations and analysis more standardized and convenient. Through matrix operations, the similarity between two state transfer matrices can be efficiently calculated.

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

[0083] The method for calculating the similarity can be calculated by the Pearson correlation coefficient algorithm. The calculation of the Pearson correlation coefficient algorithm can be implemented by formula (1):

[0084]

[0085] Among them, r is the similarity, x i is the first state transition probability, is the average value of the first state transition probability, y i is the second state transition probability, is the average value of the second state transition probability.

[0086] The calculation formula can be realized by formula (2):

[0087]

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

[0089] The calculation formula can be realized by formula (3):

[0090]

[0091] The calculation of the Pearson correlation coefficient algorithm can also be implemented by formula (4):

[0092]

[0093] Among them, r is the similarity, cov(x,y) is the covariance of the first state transfer matrix and the second state transfer matrix, σ x is the standard deviation of the first state transfer matrix, σ y is the standard deviation of the second state transfer matrix.

[0094] The calculation formula of cov(x,y) can be realized by formula (5):

[0095]

[0096] σ x The calculation of can be realized by formula (6):

[0097]

[0098] σ y The calculation of can be realized by formula (7):

[0099]

[0100] Compared with the traditional manual identification of fast fading cells, the method using matrix similarity calculation can be quickly implemented through algorithms. Computers can efficiently process matrix operations and quickly obtain similarity results, thereby quickly determining the attributes of the cells to be identified. This greatly improves the efficiency of identifying fast fading cells, and can analyze and determine a large number of cells in a short period of time, meeting the needs of real-time monitoring and management of cells in actual communication networks.

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

[0102] For ease of understanding, an example is provided. Assuming the similarity is 0.9 and the preset first similarity threshold is 0.95, the cell to be identified is determined to be a fast fading cell. However, it should be clear that this statement is not intended to be limiting. The preset first similarity threshold can only be 0.95, and can also be other values.

[0103] The fast fading probability of the reference cell is less than the preset threshold, and its second state transfer matrix represents a relatively stable and normal wireless signal state transfer mode. When the similarity between the first state transfer matrix of the cell to be identified and the second state transfer matrix of the reference cell is less than the preset first similarity threshold, it means that the wireless signal state transfer characteristics of the cell to be identified are significantly different from the normal situation. Since the wireless signal state of the fast fading cell changes complexly and frequently, this large difference is likely to be caused by the fast fading phenomenon. Therefore, the fast fading cell can be identified more accurately through this judgment rule, reducing the possibility of misjudgment.

[0104] The fast fading cell identification method provided by the present application obtains the state transition probability between specific wireless signal states and forms a state transition matrix, and then determines whether the cell to be identified is a fast fading cell by calculating the similarity between the two matrices, converts the identification of the fast fading cell into a specific quantitative calculation, clarifies that the reference cell is a cell with a fast fading probability less than a preset threshold, and uses this as a standard to compare with the cell to be identified. By calculating the similarity between the cell to be identified and the reference cell on the wireless signal state transition probability matrix, the difference between the cell to be identified and the cell with low fast fading probability can be determined, thereby determining whether the cell to be identified is a fast fading cell. Compared with the related art, the present application does not need to manually analyze the various complex features of each cell one by one, thereby improving the identification efficiency of fast fading cells.

[0105] As a refinement of step 101, when executing the acquisition of all first state transition probabilities between at least two wireless signal states of the cell to be identified, it can be implemented in but not limited to the following manner, including: acquiring the signal strength of all wireless signals of the cell to be identified within a historical time period; determining the wireless signal states of all wireless signals at different collection times based on the signal strengths of all wireless signals; and calculating all the first state transition probabilities based on the wireless signal states at different collection times.

[0106] Wireless signals refer to electromagnetic wave signals transmitted or received by mobile terminals or antenna devices in wireless communication systems. Signal strength is an important indicator to measure the strength of wireless signals, which reflects the amount of energy carried by wireless signals during propagation. Test reports are reports sent by mobile terminals containing information related to wireless signals. Mobile terminals collect and record various parameters of wireless signals received by themselves periodically or according to specific rules, and organize this information into test reports and send them to antenna devices.

[0107] In order to better understand the test report, Figure 5 As shown, Figure 5A data display diagram of a test report provided in an embodiment of the present application, scell_eci is the cell number, RSRP is the signal strength, the fast decay point is the third wireless signal state, the available point is the second wireless signal state, and the good point is the first wireless signal state.

[0108] The calculation of the first state transition probability can be achieved by formula (8):

[0109]

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

[0111] By obtaining 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 the wireless signals in the cell can be accurately understood.

[0112] As a refinement of the above embodiment, when determining the wireless signal states of all wireless signals at different collection times according to the signal strengths of all wireless signals, it can be implemented in but not limited to the following ways, including: determining the wireless signal state of a wireless signal among all wireless signals whose signal strength is greater than a preset first strength threshold as a first wireless signal state; determining the wireless signal state of a wireless signal among all wireless signals whose signal strength is less than or equal to the preset first strength threshold and whose signal strength is greater than a preset second strength threshold as a second wireless signal state; determining the wireless signal state of a wireless signal among all wireless signals whose signal strength is 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. Assume that there are three wireless signals, namely 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 according to different strength thresholds can reflect the distribution of signals in different strength ranges in a detailed and comprehensive manner. A single signal strength value is difficult to intuitively present the overall characteristics of the signal, but this state division method can clearly show whether the signal is at a strong, medium or weak level, which helps to gain a deeper understanding of the overall wireless signal quality of the cell to be identified.

[0115] In practical applications, after determining that the cell to be identified is a fast fading cell, there are multiple causes of the fast fading cell. The cause of the fast fading cell can be determined by, but is not limited to, the following methods, including: if the similarity is greater than a preset second similarity threshold, obtaining the location information of all mobile terminals of the third wireless signal; if the number of the location information is greater than the preset number threshold, determining that the antenna feed device covering the location information in the fast fading cell is faulty, and outputting a first alarm information for repairing the antenna feed device covering the location information in the cell to be identified, so that the antenna feed device covering the location information in the cell to be identified is repaired based on the first alarm information; if the number of the location information is less than or equal to the preset number threshold, determining that there is signal shielding in the environment corresponding to the location information in the fast fading cell, and outputting a control instruction for signal enhancement of the antenna feed device covering the location information in the cell to be identified, so that based on the control instruction, the antenna feed device covering the location information in the cell to be identified is signal enhanced.

[0116] Location information refers to the specific geographical location coordinates of the mobile terminal in space. In a communication system, the location information of the mobile terminal can usually be obtained in a variety of ways, such as positioning technology based on cellular networks, global positioning systems, Beidou satellite navigation systems, etc. Antenna feed equipment is an important component of a wireless communication system, mainly including antennas and feeders. The antenna is used to transmit and receive wireless signals, and the feeder is used to transmit wireless signals from a base station device to an antenna, or to transmit signals received by the antenna back to the base station device. The first alarm information is a prompt information used to indicate that the antenna feed equipment covering specific location information in a fast fading cell has a fault and needs to be repaired. The environment corresponding to the 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 shielding, reflection, scattering, etc. A control instruction is a command used to instruct a device or system to perform a specific operation. In a communication system, a control instruction can be used to control the operating status and parameter configuration of a base station device, an antenna feed device, etc. Among them, the embodiment of the present application does not limit the specific value of the preset quantity threshold.

[0117] When the similarity is greater than a preset second similarity threshold, the number of location information is further used to determine whether part of the antenna feed equipment is faulty or all of the antenna feed equipment is faulty, thereby refining the fault scope 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, determining the cause of the fast fading cell can also be implemented in but not limited to the following manner, including: if the similarity is less than or equal to the preset second similarity threshold, determining that all antenna feed devices in the fast fading cell are faulty, and outputting second alarm information for repairing all antenna feed devices, so that all antenna feed devices are repaired based on the second alarm information.

[0119] The second alarm information usually contains detailed information related to the faulty antenna feeder equipment to help maintenance personnel quickly and accurately repair it. It may include the following:

[0120] Equipment identification: clearly indicate the specific number or identification of all antenna and feeder equipment that has failed, so that maintenance personnel can accurately locate the failed equipment among many devices. Equipment location: provide the specific geographical location information of the antenna and feeder equipment, such as the specific address, longitude and latitude of the base station, so that maintenance personnel can quickly reach the fault site. Fault description: briefly describe the general situation of the fault, such as abnormal signal strength, unstable signal, etc., so that maintenance personnel can understand the possible manifestations of the fault in advance and make corresponding maintenance preparations.

[0121] In practical applications, after calculating the similarity between the first state transfer matrix and the second state transfer 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 implemented in but not limited to the following ways, including: if the similarity is greater than or equal to the preset first similarity threshold, determining that the cell to be identified is not a fast fading cell.

[0122] When the first state transfer matrix of the cell to be identified is highly similar to the second state transfer matrix of the reference cell, it means that the state transfer mode of the wireless signal of the cell is similar to that of the reference cell with a low probability of fast fading, and its wireless signal state is relatively stable. If such a judgment is not made, unnecessary in-depth inspection, maintenance or adjustment of antenna and feed equipment may be performed on cells that are not actually fast fading, consuming a lot of manpower, material resources and time resources. Through this judgment rule, excessive operation and maintenance of normal cells can be avoided, and resources can be concentrated on fast fading cells that actually have problems.

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

[0124] The embodiment of the present application obtains the state transition probability between specific wireless signal states and composes the state transition matrix, and then determines whether the cell to be identified is a fast fading cell by calculating the similarity between the two matrices, converts the identification of the fast fading cell into a specific quantitative calculation, clarifies that the reference cell is a cell with a fast fading probability less than a preset threshold, and uses this as a standard to compare with the cell to be identified. By calculating the similarity between the cell to be identified and the reference cell on the wireless signal state transition probability matrix, the difference between the cell to be identified and the cell with low fast fading probability can be determined, thereby determining whether the cell to be identified is a fast fading cell. Compared with the related art, the present application does not need to manually analyze the various complex features of each cell one by one, thereby improving the identification efficiency of fast fading cells.

[0125] Corresponding to the above fast fading cell identification method, the present invention also provides a fast fading cell identification device. Since the device embodiment of the present invention corresponds to the above method embodiment, the details not disclosed in the device embodiment can be referred to the above method embodiment, and will not be repeated in the present invention.

[0126] Figure 6 A schematic diagram of the structure of a fast fading cell identification device provided in an embodiment of the present application, the device can be applied to a server, such as Figure 6 As shown, including:

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

[0128] A composition unit 22, configured to compose all the first state transfer probabilities into a first state transfer matrix, and compose all the second state transfer probabilities into a second state transfer matrix;

[0129] A first calculation unit 23, used to calculate the similarity between the first state transfer matrix and the second state transfer matrix;

[0130] The determination unit 24 is configured to determine that the to-be-identified cell is a fast fading cell when the similarity is less than a preset first similarity threshold.

[0131] The fast fading cell identification device provided by the present application obtains the state transition probability between specific wireless signal states and composes it into a state transition matrix, and then determines whether the cell to be identified is a fast fading cell by calculating the similarity between the two matrices, converts the identification of the fast fading cell into a specific quantitative calculation, clarifies that the reference cell is a cell with a fast fading probability less than a preset threshold, and uses this as a standard to compare with the cell to be identified. By calculating the similarity between the cell to be identified and the reference cell on the wireless signal state transition probability matrix, the difference between the cell to be identified and the cell with low fast fading probability can be determined, thereby determining whether the cell to be identified is a fast fading cell. Compared with the related art, the present application does not need to manually analyze the various complex features of each cell one by one, thereby improving the identification efficiency of fast fading cells.

[0132] Furthermore, in a possible implementation of the embodiment of the present application, as Figure 7 As shown, the acquisition unit 21 includes:

[0133] An 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 determination module 212 is used to determine the wireless signal states of all the wireless signals at different collection times according to the signal strengths of all the wireless signals:

[0135] The calculation module 213 is used to calculate all the first state transition probabilities according to the wireless signal states at the different collection moments.

[0136] Furthermore, in a possible implementation of the embodiment of the present application, the determining module 212 is further configured to:

[0137] Determine the wireless signal state of the wireless signal having a signal strength greater than a preset first strength threshold among all the wireless signals as a first wireless signal state;

[0138] Determine the wireless signal state of the wireless signal whose signal strength among all the wireless signals is less than or equal to the preset first strength threshold and whose signal strength among all the wireless signals is greater than the preset second strength threshold as the second wireless signal state;

[0139] Determine the wireless signal state of the wireless signal whose signal strength among all the wireless signals is less than or equal to the preset second strength threshold 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 a possible implementation of the embodiment of the present application, as Figure 7 As shown, the device also includes:

[0142] The acquisition unit 21 is further configured to, after determining that the to-be-identified cell 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 amount of the location information is greater than a preset amount threshold, determine that the antenna feed device covering the location information in the fast fading cell is faulty, and output first alarm information for repairing the antenna feed device covering the location information in the to-be-identified cell, so as to repair the antenna feed device covering the location information in the to-be-identified cell based on the first alarm information;

[0144] The determination unit 24 is further used to, when the amount of the location information is less than or equal to a preset amount threshold, determine that there is signal shielding in the environment corresponding to the location information in the fast fading cell, and output a control instruction for performing signal enhancement on the antenna feed device covering the location information in the cell to be identified, so as to perform signal enhancement on the antenna feed device covering the location information in the cell to be identified based on the control instruction.

[0145] Furthermore, in a possible implementation of the embodiment of the present application, as Figure 7 As shown, the device also includes:

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

[0147] Furthermore, in a possible implementation of the embodiment of the present application, as Figure 7 As shown, the device also includes:

[0148] The determining unit 24 is further configured to, after calculating the similarity between the first state transfer matrix and the second state transfer matrix, determine that the to-be-identified cell 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 above explanation of the method embodiment is also applicable to the device of the embodiment of the present application, the principle is the same, and it is no longer limited in the embodiment of the present application.

[0150] According to an embodiment of the present application, the present 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 an embodiment of the present application is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present application described and / or required 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 according to a computer program stored in a ROM (Read-Only Memory) 302 or a computer program loaded from a storage unit 308 to a RAM (Random Access Memory) 303. In the RAM 303, various programs and data required for the operation of the electronic device 300 can also be stored. The second computing unit 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An I / O (Input / Output) interface 305 is also connected to the bus 304.

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

[0154] The second computing unit 301 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the second computing unit 301 include, but are not limited to, CPU (Central Processing Unit), GPU (Graphic Processing Units), various dedicated AI (Artificial Intelligence) computing chips, various second computing units running machine learning model algorithms, DSP (Digital Signal Processor), and any appropriate processor, controller, microcontroller, etc. The second computing unit 301 performs the various methods and processes described above, such as a method for identifying a fast fading cell. For example, in some embodiments, the method for identifying a fast fading cell may be implemented as a computer software program, which is tangibly included in a machine-readable medium, such as a storage unit 308. In some embodiments, part or all of the computer program may 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 method described above may be performed. Alternatively, in other embodiments, the second calculation unit 301 may be configured to execute the aforementioned fast fading cell identification method in any other appropriate manner (for example, by means of firmware).

[0155] Various embodiments of the systems and techniques described above herein may 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 embodiments may include: being implemented in one or more computer programs that may be executed and / or interpreted on a programmable system including at least one programmable processor that may be a special purpose or general purpose programmable processor that may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0156] The program code for implementing the method of the present application can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, implements the functions / operations specified in the flow chart and / or block diagram. The program code can be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0157] In the context of the present application, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. More specific examples of machine-readable storage media may include electrical connections based on one or more lines, portable computer disks, hard disks, RAM, ROM, EPROM (Electrically Programmable Read-Only-Memory) or flash memory, optical fiber, CD-ROM (Compact Dis sc 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 (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball), through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the 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 acoustic input, voice input, or tactile input).

[0159] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: LAN (Local Area Network), WAN (Wide Area Network), the Internet, and blockchain networks.

[0160] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship between the client and the server is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services ("Virtual Private Server", or "VPS" for short). The server may also be a server of a distributed system, or a server combined with a blockchain.

[0161] It should be noted that artificial intelligence is a discipline that studies how computers can simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), and includes both hardware-level and software-level technologies. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, and big data processing; artificial intelligence software technologies mainly include computer vision technology, speech recognition technology, natural language processing technology, as well as machine learning / deep learning, big data processing technology, knowledge graph technology, and other major directions.

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

[0163] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art 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 in the protection scope of this application.

Claims

1. A method for identifying a fast fading cell, characterized in that: include: Acquire all first state transition probabilities between at least two radio signal states of the cell to be identified, and 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; Combining all the first state transition probabilities into a first state transfer matrix, and combining all the second state transition probabilities into a second state transfer matrix; Calculating the similarity between the first state transfer matrix and the second state transfer matrix; If the similarity is less than a preset first similarity threshold, it is determined that the cell to be identified is a fast fading cell.

2. The method according to claim 1, characterized in that The acquiring all first state transition probabilities between at least two radio signal states of the cell to be identified comprises: Obtaining signal strengths of all wireless signals of the cell to be identified within a historical time period; Determine the wireless signal status of all the wireless signals at different collection times according to the signal strengths of all the wireless signals: All the first state transition probabilities are calculated according to the wireless signal states at the different collection moments.

3. The method according to claim 2, characterized in that The determining, according to the signal strengths of all the wireless signals, the wireless signal states of all the wireless signals at different collection times comprises: Determine the wireless signal state of the wireless signal having a signal strength greater than a preset first strength threshold among all the wireless signals as a first wireless signal state; Determine the wireless signal state of the wireless signal whose signal strength among all the wireless signals is less than or equal to the preset first strength threshold and whose signal strength among all the wireless signals is greater than the preset second strength threshold as the second wireless signal state; Determine the wireless signal state of the wireless signal whose signal strength among all the wireless signals is less than or equal to the preset second strength threshold 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, obtaining the location information of all mobile terminals of the third wireless signal; If the amount of the location information is greater than a preset amount threshold, it is determined that the antenna feeder device covering the location information in the fast fading cell is faulty, and first alarm information for repairing the antenna feeder device covering the location information in the to-be-identified cell is output, so that the antenna feeder device covering the location information in the to-be-identified cell is repaired based on the first alarm information; If the amount of the location information is less than or equal to a preset number 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 instruction for performing signal enhancement on the antenna feed device covering the location information in the cell to be identified is output, so that based on the control instruction, the signal of the antenna feed device covering the location information in the cell to be identified is enhanced.

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 feed devices in the fast fading cell are faulty, and second alarm information for repairing all antenna feed devices is output, so that all antenna feed devices are repaired based on the second alarm information.

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

7. A device for identifying a fast fading cell, characterized in that: include: An acquisition unit, configured to acquire all first state transition probabilities between at least two radio signal states of a cell to be identified, and acquire all second state transition probabilities between at least two radio signal states of a reference cell; The reference cell is a cell whose fast fading probability is less than a preset threshold; A composition unit, used for composing all the first state transfer probabilities into a first state transfer matrix, and composing all the second state transfer probabilities into a second state transfer matrix; A first calculation unit, configured to calculate a similarity between the first state transfer matrix and the second state transfer matrix; The determining unit is configured 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, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 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 execute the method according to any one of claims 1-6.

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

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