CN113068200B - Method and device for detecting 5G network fault - Google Patents
Method and device for detecting 5G network fault Download PDFInfo
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- CN113068200B CN113068200B CN202010003324.6A CN202010003324A CN113068200B CN 113068200 B CN113068200 B CN 113068200B CN 202010003324 A CN202010003324 A CN 202010003324A CN 113068200 B CN113068200 B CN 113068200B
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Abstract
The embodiment of the invention provides a method and a device for detecting 5G network faults. The method comprises the following steps: sweeping frequency of the 5G network to obtain sweep frequency data of the 5G network, and performing service drive test on the 5G network to obtain service drive test data of the 5G network; correlating the sweep frequency data of the 5G network with the service drive test data to obtain matching data; and detecting the fault in the 5G network according to the matching data to obtain a fault detection result. According to the method and the device for detecting the 5G network fault, provided by the embodiment of the invention, the condition of the 5G mobile network is jointly analyzed by simultaneously utilizing the sweep frequency data and the service drive test data, so that a more comprehensive network fault detection result can be obtained.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for detecting a 5G network fault.
Background
With the continuous development of 5G mobile communication networks (5G networks or 5G NR networks for short), the scale of mobile networks is increasing, the networks are more and more complex, and more problems may occur, which directly affect the acceptance and satisfaction of customers to mobile networks and seriously affect customer perception, so that continuous analysis and optimization of network conditions are required.
Before planning and optimizing a 5G wireless network, a network operator needs to evaluate network coverage, network quality and terminal running state through drive test to detect network faults. Common drive test modes include sweep generator drive test and service drive test of a test terminal. The sweep generator is used for drive test, the sweep generator is used for collecting air-interface wireless signals, network radio frequency quality analysis is carried out in real time, test results are displayed in real time through drive test software, and LOG (LOG) is stored for background analysis software to analyze. The service drive test of the test terminal adopts the test terminal to test, the test key points are to pay attention to the working conditions of scenes such as radio frequency indexes, service states, reselection and the like of the terminal during the drive test, and the network performance of the terminal when the terminal processes the service and does not process the service can be evaluated respectively.
The sweep generator drive test can detect the cells with the same frequency and different frequency as much as possible, and the network coverage and the network radio frequency index are reflected more comprehensively, but because the sweep generator is not connected to the network, whether the actual working condition of the terminal under the current network environment is ideal or not, such as service indexes such as call drop rate and the like, cannot be known. The test terminal can access the network and process the service, so the working state of the current network can be well evaluated, but the test terminal cannot report the information of all current cells in real time under the influence of the working mode of the terminal, and the network environment, particularly the road coverage condition of the current position cannot be mastered. Therefore, the existing 5G network fault detection method cannot detect faults existing in the 5G network comprehensively.
Disclosure of Invention
The embodiment of the invention provides a method and a device for detecting a 5G network fault, which are used for solving or at least partially solving the defect that the network fault cannot be detected comprehensively in the prior art.
In a first aspect, an embodiment of the present invention provides a method for detecting a 5G network fault, including:
sweeping frequency of a 5G network to obtain sweep frequency data of the 5G network, and performing service drive test on the 5G network to obtain service drive test data of the 5G network;
correlating the pre-acquired sweep frequency data of the 5G network with the service drive test data to acquire matching data;
and detecting the fault in the 5G network according to the matching data to obtain a fault detection result.
Preferably, the step of associating the frequency sweep data of the 5G network with the service drive test data to obtain matching data includes:
matching the sweep frequency data with the service drive test data according to the data acquisition time, the data acquisition place and the corresponding sub-beams;
and acquiring the matched data according to the sweep frequency data and the service drive test data matched with the acquisition time, the acquisition place and the corresponding sub-beams.
Preferably, the step of detecting the fault in the 5G network according to the matching data and obtaining a fault detection result includes:
and detecting whether the 5G network has the signal imbalance of the antenna port according to the matching data to obtain a detection result.
Preferably, the step of detecting the fault in the 5G network according to the matching data and obtaining a fault detection result includes:
acquiring a first cell set and a second cell set according to the matching data;
acquiring parameters of each cell in the first cell set and the second cell set according to the matching data;
and detecting whether the 5G network has at least one of neighbor missing and cross-area coverage, pilot pollution and mode interference according to the parameters of the cells in the first cell set and the second cell set to obtain a detection result.
Preferably, the method for detecting whether the 5G network has neighbor missing and handover coverage according to the parameters of each cell in the first cell set and the second cell set includes the specific steps of:
acquiring a union of the first cell set and the second cell set as a third cell set;
for any service cell obtained according to the service drive test data in the matching data, obtaining a set obtained by subtracting the service cell and each adjacent cell of the service cell from the third cell set as a fourth cell set;
for each cell in the fourth cell set, acquiring the distance between the cell and an acquisition place and the signal intensity according to the matching data;
if the distance between the cell and the acquisition place is judged and obtained to be larger than or equal to a preset cell coverage distance threshold, and the signal intensity of the cell is larger than or equal to a preset signal intensity absolute threshold, determining that the detection result is that cross-zone coverage exists;
and if the distance between the cell and the acquisition place is judged and obtained to be smaller than a preset cell coverage distance threshold and the signal intensity of the cell is larger than or equal to a preset signal intensity absolute threshold, determining that the detection result is that the adjacent cell missing distribution exists.
Preferably, whether the 5G network has pilot pollution is detected according to parameters of each cell in the first cell set and the second cell set, and the specific step of obtaining the detection result includes:
acquiring a union of the first cell set and the second cell set as a third cell set;
acquiring the signal intensity of each cell in the third cell set according to the matching data;
for any service cell obtained according to the service drive test data in the matching data, if it is judged and known that the signal strength in the third cell set is greater than or equal to a preset signal strength threshold except for the service cell, the number of cells of which the difference value with the signal strength of the service cell is less than or equal to a preset signal strength difference threshold is greater than or equal to a preset pilot frequency number threshold, and the detection result is determined to be pilot frequency pollution.
Preferably, the method for detecting whether the 5G network has the modal interference according to the parameters of the cells in the first cell set and the second cell set includes the specific steps of:
acquiring a union of the first cell set and the second cell set as a third cell set;
acquiring a modulus and a signal strength of a physical cell identifier of each cell in the third cell set according to the matching data;
for any service cell obtained according to the service drive test data in the matching data, if it is judged and known that a cell, in which a modulus of a physical cell identifier is equal to a modulus of a physical cell identifier of the service cell and a difference between a signal strength and a signal strength of the service cell is less than or equal to a preset signal strength difference threshold value, exists in the third cell set except for the service cell, it is determined that a detection result is that mode interference exists.
In a second aspect, an embodiment of the present invention provides a device for detecting a 5G network fault, including:
the frequency sweeping module is used for sweeping frequency of the 5G network to obtain frequency sweeping data of the 5G network;
the service drive test module is used for carrying out service drive test on the 5G network and acquiring service drive test data of the 5G network;
the data matching module is used for correlating the frequency sweep data of the 5G network with the service drive test data to obtain matching data;
and the fault detection module is used for detecting the fault in the 5G network according to the matching data and acquiring a fault detection result.
In a third aspect, an embodiment of the present invention provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the computer program is executed, the steps of the method for detecting a 5G network failure provided in any one of the various possible implementations of the first aspect are implemented.
In a fourth aspect, an embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the method for detecting a 5G network failure as provided in any one of the various possible implementations of the first aspect.
According to the method and the device for detecting the 5G network fault, provided by the embodiment of the invention, the condition of the 5G mobile network is jointly analyzed by simultaneously utilizing the sweep frequency data and the service drive test data, so that a more comprehensive network fault detection result can be obtained. Furthermore, the method is automatic in operation and high in usability, and the detection personnel are not required to have very special skills, so that the requirements on the user are greatly relaxed, and the applicability of the detection method is enhanced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of a method for detecting a 5G network fault according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a detection apparatus for a 5G network fault according to an embodiment of the present invention;
fig. 3 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to overcome the above problems in the prior art, embodiments of the present invention provide a method and an apparatus for detecting a fault in a 5G network, where the inventive concept is to combine frequency sweep data obtained through drive test of a frequency sweep instrument with service drive test data obtained through service drive test of a test terminal, and perform joint analysis according to the combined data to detect a fault in the 5G network.
Fig. 1 is a schematic flowchart of a method for detecting a 5G network fault according to an embodiment of the present invention. As shown in fig. 1, the method includes: and S101, performing frequency sweep on the 5G network to obtain frequency sweep data of the 5G network, and performing service drive test on the 5G network to obtain service drive test data of the 5G network.
Specifically, sweep frequency data of the 5G network can be acquired through sweep frequency instrument drive test.
The service drive test data of the 5G network can be collected through the service drive test of the test terminal.
The frequency sweep data and the service drive test data are collected by aiming at a target mobile communication network. The target mobile communication network may be a 2G, 3G, 4G and 5G network. Preferably, the target mobile communication network is a 5G network.
And S102, correlating the pre-acquired frequency sweep data of the 5G network with the service drive test data to acquire matching data.
Because the sweep frequency data and the service drive test data are acquired in different manners, the sweep frequency data and the service drive test data need to be correlated through correlation of the sweep frequency data and the service drive test data in time and space, and the correlated sweep frequency data and the service drive test data form matching data.
And matching, specifically, the acquisition time and the acquisition position of the sweep frequency data and the service drive test data are consistent.
And S103, detecting the fault in the 5G network according to the matching data, and acquiring a fault detection result.
Specifically, in the matching data, the acquisition time and the acquisition position of the frequency sweep data and the service drive test data are consistent, so that the frequency sweep data and the service drive test data which are matched can be subjected to joint analysis, and whether a fault exists in the 5G network or not can be detected through the joint analysis.
The channel or frequency spectrum condition of the service state cannot be fed back simply through the sweep frequency data, the user perception problem cannot be really fed back, the signaling function is weak, the service state signaling cannot be collected, only partial MIB (main system information block) and SIB (system information block) messages can be presented, and the powerful signaling and parameter functions required by problem positioning and analysis cannot be met.
The service drive test of the test terminal is controlled by the network, and the pure service drive test data only reflects the signal condition of the resource occupied by the terminal in the bandwidth, but not the condition of the whole channel; the test result is greatly influenced by the difference of equipment, and different equipment is subjected to process and technical differences, so that the test performance of the equipment is different, and the network condition cannot be accurately reflected; when the test terminal executes the service, the same-frequency measurement can be carried out at the same time, and the signal conditions of other frequency bands cannot be fed back at the same time.
Therefore, the method has the advantages that the limitation exists when the network fault is detected by simply utilizing the sweep frequency data or the service drive test data, the advantages of sweep frequency instrument drive test and the service drive test of the test terminal can be combined by analyzing the sweep frequency data and the service drive test data jointly, the advantages are complementary, wireless experience based on customer perception and a real wireless environment of a mobile network are combined, problems and hidden problems existing in the network are deeply analyzed, and therefore whether the network fault exists or not can be comprehensively detected.
The method and the device can realize automatic matching and management of the frequency sweep data and the service drive test data and automatically obtain a fault detection result according to the matching data, and have higher efficiency and higher accuracy.
According to the embodiment of the invention, the condition of the 5G mobile network is jointly analyzed by simultaneously utilizing the sweep frequency data and the service drive test data, so that a more comprehensive network fault detection result can be obtained. Furthermore, the method is automatic in operation and high in usability, and the detection personnel are not required to have very professional skills, so that the requirements on the user are greatly relaxed, and the applicability of the detection method is enhanced.
Based on the content of each embodiment, the method for associating the pre-acquired frequency sweep data of the 5G network with the service drive test data and acquiring the matching data specifically comprises the following steps: and matching the sweep frequency data with the service drive test data according to the acquisition time, the acquisition place and the corresponding sub-beams of the data.
Specifically, the frequency of acquiring the sweep data is different from the frequency of acquiring the service drive test data. For example, the sweep frequency of the scanner is typically about 30 times/second, i.e., 34 ms/time, while the frequency of the drive test data acquisition is typically 200 ms/time. Therefore, data correlation between the frequency sweep data and the traffic drive test data in the time dimension is required.
And acquiring sweep frequency data with the acquisition time closest to the acquisition time in a time window with the acquisition time as a middle point based on the acquisition time of acquiring the service drive test data every time, wherein the sweep frequency data is used as the sweep frequency data matched with the service drive test data in the acquisition time. The length of the time window is the acquisition time interval of the sweep frequency data.
For example, since the acquisition time interval of the service drive test data is 200ms, association with the sweep frequency data can be performed every 200ms according to the acquisition time of the service drive test data, and the sweep frequency data with a fluctuation interval of 34ms, that is, an association time window of 34ms, ensures that the service drive test data at each acquisition side can be associated with the sweep frequency data at the latest moment.
The frequency sweep data and the service drive test data may be different from each other collected at a plurality of collection locations, and therefore the frequency sweep data and the service drive test data which are consistent in collection location need to be associated.
Slight differences of the acquisition places can be ignored, and the sweep frequency data and the service drive test data are matched and correlated through the grids.
The collection places of the sweep frequency data and the service drive test data can be rasterized according to the preset size of the grids, and each grid has a unique grid ID. Each acquisition site is assigned a grid ID.
The size of the grid can be set according to actual conditions, and the specific values are not limited in the embodiment of the invention. For example, the grid size may be 10 meters by 10 meters.
Sweep frequency data and service drive test data which are positioned in the same grid ID can be regarded as strongly-associated data by using a nine-grid method; and the sweep frequency data and the service drive test data respectively fall on the central grid in the nine-square grid and other 8 grid IDs in a circle around the central grid, and the weakly correlated data can be used as auxiliary analysis.
For each sweep frequency data, if judging that the service drive test data strongly associated with the sweep frequency data exists, taking the service drive test data as the service drive test data matched with the sweep frequency data on the acquisition site; if it is determined that there is no service drive test data strongly associated with the frequency sweep data, it may be considered that there is no service drive test data matched with the frequency sweep data at the acquisition location, but the service drive test data weakly associated with the frequency sweep data may be used for auxiliary analysis.
Or for each service drive test data, if the frequency sweep data strongly associated with the service drive test data is judged and known to exist, the frequency sweep data is used as the frequency sweep data matched with the service drive test data on the acquisition place; if it is determined that there is no frequency sweep data strongly associated with the service drive test data, it can be considered that there is no frequency sweep data matched with the service drive test data at the acquisition location.
The 5G standard newly introduces a sub-beam function, and each PCI (Physical Cell Identifier) has a plurality of sub-beams, and each sub-beam has its own coverage, i.e., has a spatial dimension.
CellID (cell ID) is a unique identifier of each cell, and is used to determine occupied cells, and the sub-beams (beams) subordinate to CellID also have uniqueness. And uniquely associating the CellID/beam set in the frequency sweep data with the CellID/beam set in the service drive test data to obtain the associated CellID/beam set, and determining the frequency sweep data and the service drive test data matched with the corresponding sub-beams. And according to the sweep frequency data and the service drive test data matched with the corresponding sub-beams, the coverage rationality and the problem analysis of the sub-beams can be subsequently carried out.
And acquiring matched data according to the sweep frequency data and the service drive test data matched with the acquisition time, the acquisition place and the corresponding sub-beams.
Specifically, for any sweep frequency data and any service drive test data, if the acquisition time, the acquisition location and the corresponding sub-beams of the sweep frequency data and the service drive test data are matched, a piece of matched data is obtained according to the sweep frequency data and the service drive test data. The matching data includes all data items in the sweep data and the traffic drive test data.
By judging whether the acquisition time, the acquisition place and the corresponding sub-beams are matched or not for each sweep frequency data and each service drive test data, all matched data can be obtained according to the judgment result.
According to the embodiment of the invention, the sweep frequency data and the service drive test data are matched according to the three dimensions of the acquisition time, the acquisition place and the corresponding sub-beams to obtain the matched data, so that a more comprehensive network fault detection result can be obtained based on the matched data.
Based on the content of the above embodiments, the specific steps of detecting the fault in the 5G network according to the matching data and obtaining the fault detection result include: and detecting whether the 5G network has the antenna port signal imbalance according to the matching data to obtain a detection result.
Specifically, the 5G network system requires that the antenna transmit and receive signals by using more antenna elements, which causes more antenna port signal inconsistency problems, and the signal imbalance of multiple antenna ports will affect the throughput speed of the 5G module data.
The frequency scanner may report Signal strength RSRP (Reference Signal Receiving Power) and Signal quality SINR (Signal to Interference plus Noise Ratio) or CINR (Carrier to Interference plus Noise Ratio) of each antenna port of the base station, respectively.
Through RSRP and SINR (or CINR) in the service drive test data and the sweep frequency data, whether the problem of unbalanced antenna port signals exists can be judged.
Screening out the business drive test data in the matching data according to the matching data, wherein the business drive test data is lower than a preset throughput rate threshold T 0 Instantaneous throughput rate T of 1 ,...,T x ；
Will T 1 ,...,T x Each instantaneous throughput rate in (1) and the sweep frequency data in the matched data, T 1 ,...,T x Correlating the signal strength set { RSRP } and the signal quality set { SINR } of each antenna port corresponding to each instantaneous throughput rate;
according to the signal intensity set { RSRP } and the signal quality set { SINR }, respectively obtaining the maximum value RSRP max 、SINR max Minimum value RSRP min 、SINR min ；
Maximum value RSRP is judged max And minimum value RSRP min Whether the difference value between the two is less than or equal to a preset first threshold RSRP re And maximum value SINR max To minimum SINR min Whether the difference value between the two is less than or equal to a preset second threshold SINR re (ii) a If the judgment result of any condition is yes, the problem of unbalanced antenna port signals does not exist, and other reasons causing low throughput rate need to be searched; if the judgment results of the two conditions are negative, the problem of unbalanced antenna port signals exists, and the balance of the antenna port needs to be optimized.
The embodiment of the invention detects whether the 5G network has the antenna port signal imbalance according to the matching data, can detect whether the antenna port signal imbalance problem exists, and has the advantages of simple and convenient steps and accurate detection result.
Based on the content of the above embodiments, the specific steps of detecting the fault in the 5G network according to the matching data and obtaining the fault detection result include: and acquiring a first cell set and a second cell set according to the matching data.
Specifically, according to the frequency sweep data in the matching data, each cell obtained through drive test of the frequency sweep instrument can be obtained, and the cells obtained through the drive test of the frequency sweep instrument are combined into a first cell set. The first set of cells may be referred to as a swept data cell set.
According to the service drive test data in the matching data, all cells obtained through the service drive test of the test terminal can be obtained, and the cells obtained through the service drive test of the test terminal form a second cell set. The second set of cells may be referred to as a set of traffic data cells.
The cells in both the first set of cells and the second set of cells are dominant cells; cells in the first set of cells but not in the second set of cells, and cells not in the first set of cells but in the second set of cells, are implicit cells.
By simply using the sweep frequency data, only whether each cell in the first cell set has a fault or not can be detected, and the interference of a certain cell in the first cell set to other cells in the first cell set can be found, but whether the cell which is not in the first cell set has a fault or not can not be detected, and the interference of the cell which is not in the first cell set to the certain cell in the first cell set can not be found.
By simply passing through the service drive test data, only whether each cell in the second cell set has a fault or not can be detected, and the interference of a certain cell in the second cell set to other cells in the second cell set can be found, but whether the cell which is not in the second cell set has a fault or not can not be detected, and the interference of the cell which is not in the second cell set to a certain cell in the second cell set can not be found.
For example, at a certain time, the sweep data includes data of 7 cells, the service drive test data includes data of 3 cells, the PCIs of the 7 cells are PCI1 to PCI7, and the PCIs of the 3 cells are PCI1, PCI3 and PCI5, and interference caused by the cells with the PCIs of PCI2, PCI4, PCI6 and PCI7 to the cells with the PCIs of PCI1, PCI3 or PCI5 cannot be found by simply passing the service drive test data, and the cells with the PCIs of PCI2, PCI4, PCI6 and PCI7 are invisible when analyzing service performance and quality problems. According to the methods provided by the embodiments of the present invention, it is possible to find the interference caused by the cells with PCIs 2, PCI4, PCI6, and PCI7 to the cells with PCIs 1, PCI3, or PCI5, so as to perform more comprehensive detection.
And acquiring parameters of each cell in the first cell set and the second cell set according to the matching data.
Specifically, for any cell in the first cell set and the second cell set, parameters such as the signal strength of the cell, the distance between the cell and the acquisition location, and the physical cell identifier may be obtained according to the matching data.
And detecting whether the 5G network has at least one of neighbor missing and cross-zone coverage, pilot pollution and mode interference according to the parameters of the cells in the first cell set and the second cell set to obtain a detection result.
Specifically, according to parameters of each cell in the first cell set and the second cell set, based on the passing judgment condition, intelligent association analysis can be performed, network fault detection based on a recessive cell is realized, and network faults such as neighbor cell missing, pilot frequency pollution, mode interference, cross-zone coverage and the like are automatically detected, analyzed and positioned.
After the detection result is obtained, a detection report can be automatically generated, an optimization suggestion can be given according to the detected fault, and a report can be automatically generated and statistically analyzed to guide network optimization.
According to the embodiment of the invention, by associating the sweep frequency data with the service drive test data and analyzing each cell in the first cell set and the second cell set according to the matching data, a more comprehensive network fault detection result can be obtained.
Based on the content of the foregoing embodiments, according to the parameters of each cell in the first cell set and the second cell set, whether the 5G network has neighbor missing and handover coverage is detected, and the specific step of obtaining the detection result includes: and acquiring a union of the first cell set and the second cell set as a third cell set.
Specifically, a union of the first cell set and the second cell set may be obtained as a third cell set Q by performing de-duplication on cells in the first cell set and cells in the second cell set a . The third set of cells may be referred to as a linear set of cells.
And for any service cell obtained according to the service drive test data in the matching data, obtaining a set obtained by subtracting the service cell and each adjacent cell of the service cell from the third cell set as a fourth cell set.
Specifically, for any cell in the second cell set, when the cell is a serving cell, the cell and each neighboring cell of the cell are subtracted from the third cell set to obtain a fourth cell set Q r 。
Each neighboring cell of the cell can be obtained by the service drive test data in the matching data.
And for each cell in the fourth cell set, acquiring the distance between the cell and the acquisition place and the signal strength according to the matching data.
Specifically, Q for the fourth set of cells r Can obtain the distance L and the signal strength SRSRSRSRSRSRSRSRSRSRP of the cell from the acquisition place according to the matching data x 。
If the distance between the cell and the acquisition place is judged and obtained to be greater than or equal to a preset cell coverage distance threshold, and the signal intensity of the cell is greater than or equal to a preset signal intensity absolute threshold, determining that the detection result is that cross-zone coverage exists; and if the distance between the cell and the acquisition place is smaller than a preset cell coverage distance threshold and the signal intensity of the cell is larger than or equal to a preset signal intensity absolute threshold, determining that the detection result is that the neighbor cell missing distribution exists.
Specifically, Q for the fourth set of cells r Each cell in the system judges the distance L between the cell and the acquisition place and a preset cell coverage distance threshold L 0 The magnitude relation between them, and the signal strength SRSRSRP of the cell x And a preset signal strength absolute threshold SRSRSRSRSRP 0 The magnitude relationship between them.
If the judgment result satisfies that L is more than or equal to L 0 And SRSRSRP x ≥SRSRP 0 If so, judging that the cell is covered by the cross-area, and suggesting to carry out coverage control if the problem of the cross-area coverage exists;
if the judgment result satisfies L < L 0 And SRSRSRP x ≥SRSRP 0 If so, judging that the cell is actually the neighbor cell of the serving cell and the problem of neighbor cell missing exists, and suggesting to add the cell into a neighbor cell list of the serving cell.
The embodiment of the invention can acquire whether the detection result of cross-area coverage and adjacent area missing distribution exists or not through simple judgment based on sweep frequency data and service drive test data, can automatically record and display event information in a map and a report as long as an event trigger condition is met according to an event trigger control mechanism, provides accurate judgment for positioning of network faults, can intelligently judge the reasons of the network faults by combining engineering parameter data, reduces investment and workload of analysts, can improve the working efficiency, more quickly processes network problems, and helps to improve the network quality.
Based on the content of the foregoing embodiments, whether the 5G network has pilot pollution is detected according to the parameters of the cells in the first cell set and the second cell set, and the specific step of obtaining the detection result includes: and acquiring a union of the first cell set and the second cell set as a third cell set.
Specifically, a union of the first cell set and the second cell set may be obtained as a third cell set Q by performing de-duplication on cells in the first cell set and cells in the second cell set a 。
And acquiring the signal strength of each cell in the third cell set according to the matching data.
Specifically, for each cell in the third set of cells, the signal strength of the cell may be obtained according to the matching data.
For any service cell obtained according to the service drive test data in the matching data, if it is judged that the signal strength in the third cell set is greater than or equal to the preset signal strength threshold except for the service cell, the number of cells of which the difference value with the signal strength of the service cell is less than or equal to the preset signal strength difference value first threshold is greater than or equal to the preset pilot frequency number threshold, and the detection result is determined to be the existence of pilot frequency pollution.
In particular, for the third set of cells Q a If the cell is a serving cell, the signal strength of the cell is recorded as srsrsrp s Set Q of the third cell a The signal strength of other cells is recorded as SRSRP 1 ～SRSRP x 。
Statistical SRSRP 1 ～SRSRP x In, greater than the preset signal strength threshold SRSRSRSRP ab And is related to SRSRSRSRP s The difference between the two is less than or equal to a preset signal strength difference first threshold value D re The number of the cells.
Judging whether the data is larger than or equal to a preset pilot frequency quantity threshold N t 。
If the judgment result is yes, judging that pilot frequency pollution exists, and suggesting to carry out main pilot frequency control; if the judgment result is negative, the pilot frequency pollution is judged to be absent.
The embodiment of the invention can acquire the detection result of whether pilot frequency pollution exists or not through simple judgment based on sweep frequency data and service drive test data, can automatically record and display event information in a map and a report as long as an event trigger condition is met according to an event trigger control mechanism, provides accurate judgment for positioning of network faults, can intelligently judge the reasons of the network faults by combining engineering parameter data, reduces investment and workload of analysts, can improve the working efficiency, more quickly processes network problems, and boosts the network quality.
Based on the content of the foregoing embodiments, whether the 5G network has the modal interference is detected according to the parameters of the cells in the first cell set and the second cell set, and the specific step of obtaining the detection result includes: and acquiring a union of the first cell set and the second cell set as a third cell set.
Specifically, a union of the first cell set and the second cell set may be obtained as a third cell set Q by performing deduplication on cells in the first cell set and cells in the second cell set a 。
And acquiring the modulus and the signal strength of the physical cell identifier of each cell in the third cell set according to the matching data.
Specifically, for each cell in the third set of cells, the physical cell identity and the signal strength of the cell may be obtained according to the matching data.
The modulo of the physical cell identity of each cell can be calculated from the physical cell identity of that cell.
For any service cell obtained according to the service drive test data in the matching data, if it is judged and known that the modules of the physical cell identifiers are equal to the modules of the physical cell identifiers of the service cells and the difference between the signal strength and the signal strength of the service cells is smaller than or equal to a preset signal strength difference second threshold, the detection result is determined to be the existence of the module interference.
Specifically, Q for the third set of cells a If the cell is a serving cell, the PCI and the signal strength score of the cell are recorded as the PCI s 、SRSRP s Set Q of the third cell a The PCI and signal strength of other cells are PCI 1 ～PCI x 、SRSRP 1 ～SRSRP x 。
PCI s Has a modulus of M s ，PCI 1 ～PCI x Respectively is M 1 ～M x 。
Judgment M 1 ～M x Whether or not there is each of M equal to s 。
If M is 1 ～M x Is equal to M s Then, it is judged to be equal to M s Corresponding to the signal strength and SRSRSRP of each cell s Whether the difference between the two values is less than or equal to a preset signal strength difference second threshold value D 0 。
If the signal strength of at least one of the cells and the SRSRSRSRP s The difference between the two is less than or equal to a preset signal strength difference second threshold value D 0 If so, judging that the mode interference exists, and recommending the master control or the mode optimization.
The embodiment of the invention can acquire the detection result of whether the module interference exists or not through simple judgment based on the sweep frequency data and the service drive test data, can automatically record and display event information in a map and a report as long as an event trigger condition is met according to an event trigger control mechanism, provides accurate judgment for positioning of network faults, can intelligently judge the reasons of the network faults by combining engineering parameter data, reduces the investment and workload of analysts, can improve the working efficiency, more quickly processes the network problems, and boosts the network quality.
Fig. 2 is a schematic structural diagram of a 5G network failure detection apparatus according to an embodiment of the present invention. Based on the content of the foregoing embodiments, as shown in fig. 2, the apparatus includes a frequency sweep module 201, a traffic drive test module 202, a data matching module 203, and a fault detection module 204, where:
the frequency sweep module 201 is configured to sweep frequency of the 5G network, and acquire frequency sweep data of the 5G network;
the service drive test module 202 is configured to perform service drive test on the 5G network, and obtain service drive test data of the 5G network;
the data matching module 203 is used for correlating the pre-acquired frequency sweep data of the 5G network with the service drive test data to acquire matching data;
and the fault detection module 204 is configured to detect a fault in the 5G network according to the matching data, and obtain a fault detection result.
Specifically, the frequency sweep module 201 and the service drive test module 202 are respectively electrically connected with the data matching module 203; the data matching module 203 is electrically connected to the fault detection module 204.
The frequency sweep module 201 collects frequency sweep data of the 5G network through frequency sweep drive test of the 5G network.
The service drive test module 202 collects service drive test data of the 5G network through service drive test of the 5G network.
The data matching module 203 correlates the frequency sweep data and the service drive test data through the correlation of the frequency sweep data and the service drive test data in time and space, and combines the correlated frequency sweep data and the service drive test data to form matching data.
The fault detection module 204 may perform joint analysis on the matched sweep frequency data and the service drive test data, and detect whether a fault exists in the 5G network through the joint analysis.
The apparatus for detecting a 5G network fault provided in the embodiments of the present invention is configured to execute the method for detecting a 5G network fault provided in each of the embodiments of the present invention, and specific methods and processes for implementing corresponding functions by each module included in the apparatus for detecting a 5G network fault are described in the embodiments of the method for detecting a 5G network fault, and are not described herein again.
The apparatus for detecting a 5G network failure is used in the method for detecting a 5G network failure in the foregoing embodiments. Therefore, the description and definition in the method for detecting the 5G network failure in the foregoing embodiments can be used for understanding the execution modules in the embodiments of the present invention.
According to the embodiment of the invention, the condition of the 5G mobile network is jointly analyzed by simultaneously utilizing the sweep frequency data and the service drive test data, so that a more comprehensive network fault detection result can be obtained. Furthermore, the method is automatic in operation and high in usability, and the detection personnel are not required to have very professional skills, so that the requirements on the user are greatly relaxed, and the applicability of the detection method is enhanced.
Fig. 3 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention. Based on the content of the above embodiment, as shown in fig. 3, the electronic device may include: a processor (processor) 301, a memory (memory) 302, and a bus 303; wherein, the processor 301 and the memory 302 complete the communication with each other through the bus 303; the processor 301 is configured to invoke computer program instructions stored in the memory 302 and executable on the processor 301 to perform the method for detecting 5G network failure provided by the above-mentioned embodiments of the methods, for example, including: sweeping frequency of the 5G network to obtain sweep frequency data of the 5G network, and performing service drive test on the 5G network to obtain service drive test data of the 5G network; correlating the sweep frequency data of the 5G network with the service drive test data to obtain matching data; and detecting the fault in the 5G network according to the matching data to obtain a fault detection result.
Another embodiment of the present invention discloses a computer program product, the computer program product includes a computer program stored on a non-transitory computer readable storage medium, the computer program includes program instructions, when the program instructions are executed by a computer, the computer can execute the method for detecting a 5G network fault provided by the above-mentioned embodiments of the method, for example, the method includes: sweeping frequency of the 5G network to obtain sweep frequency data of the 5G network, and performing service drive test on the 5G network to obtain service drive test data of the 5G network; correlating the sweep frequency data of the 5G network with the service drive test data to obtain matching data; and detecting the fault in the 5G network according to the matching data to obtain a fault detection result.
Furthermore, the logic instructions in the memory 302 may be implemented in the form of software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solutions of the embodiments of the present invention may be substantially or partially contributed to by the prior art, or may be embodied in a software product, which is stored in a storage medium and includes several instructions, so that a computer device (which may be a personal computer, a server, or a network device) executes all or part of the steps of the methods of the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, and various media capable of storing program codes.
Another embodiment of the present invention provides a non-transitory computer-readable storage medium, which stores computer instructions, where the computer instructions cause a computer to perform the method for detecting a 5G network fault provided in the foregoing method embodiments, for example, the method includes: sweeping frequency of the 5G network to obtain sweep frequency data of the 5G network, and performing service drive test on the 5G network to obtain service drive test data of the 5G network; correlating the sweep frequency data of the 5G network with the service drive test data to obtain matching data; and detecting the fault in the 5G network according to the matching data to obtain a fault detection result.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. It is understood that the above-described technical solutions may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods of the various embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. A method for detecting 5G network faults is characterized by comprising the following steps:
sweeping frequency of a 5G network to obtain sweep frequency data of the 5G network, and performing service drive test on the 5G network to obtain service drive test data of the 5G network;
correlating the sweep frequency data of the 5G network with the service drive test data to obtain matching data;
detecting faults in the 5G network according to the matching data to obtain fault detection results;
the specific steps of associating the frequency sweep data of the 5G network with the service drive test data and acquiring the matching data comprise:
matching the sweep frequency data with the service drive test data according to the data acquisition time, the data acquisition place and the corresponding sub-beams;
acquiring matched data according to sweep frequency data and service drive test data matched with the acquisition time, the acquisition place and the corresponding sub-beams;
the specific steps of detecting the fault in the 5G network according to the matching data and acquiring the fault detection result comprise:
detecting whether the 5G network has antenna port signal imbalance according to the matching data to obtain a detection result;
the detecting whether the 5G network has the antenna port signal imbalance according to the matching data to obtain a detection result includes:
screening out the service drive test data in the matched data according to the matched data, wherein the service drive test data is lower than a preset throughput rate threshold T 0 Instantaneous throughput rate T of 1 ,...,T x ；
Will T 1 ,...,T x And each instantaneous throughput rate in (1) and the sweep frequency data in the matched data, T 1 ,...,T x Correlating the signal strength set { RSRP } and the signal quality set { SINR } of each antenna port corresponding to each instantaneous throughput rate;
respectively obtaining maximum value RSRP according to the signal strength set { RSRP } and the signal quality set { SINR }, wherein the maximum value RSRP is obtained according to the signal strength set { RSRP } and the signal quality set { SINR }, and the maximum value RSRP is obtained according to the signal strength set { SINR }, and the signal quality set { SINR } respectively max 、SINR max Minimum value RSRP min And SINR min ；
Maximum value RSRP is judged max And minimum value RSRP min Whether the difference value between the two is less than or equal to a preset first threshold RSRP re And maximum value SINR max To minimum SINR min Whether the difference value between the two is less than or equal to a preset second threshold SINR re (ii) a If the judgment result of any one condition is yes, the problem of unbalanced antenna port signals does not exist; if the judgment results of the two conditions are negative, the problem of unbalanced antenna port signals exists.
2. The method according to claim 1, wherein the step of detecting the fault in the 5G network according to the matching data and obtaining the fault detection result includes:
acquiring a first cell set and a second cell set according to the matching data;
acquiring parameters of each cell in the first cell set and the second cell set according to the matching data;
and detecting whether the 5G network has at least one of neighbor cell missing and cross-cell coverage, pilot pollution and mode interference according to the parameters of the cells in the first cell set and the second cell set, and acquiring a detection result.
3. The method according to claim 2, wherein the specific step of detecting whether the 5G network has neighbor missing and handover coverage according to the parameters of each cell in the first cell set and the second cell set includes:
acquiring a union of the first cell set and the second cell set as a third cell set;
for any service cell acquired according to the service drive test data in the matching data, acquiring a set obtained by subtracting the service cell and each adjacent cell of the service cell from the third cell set as a fourth cell set;
for each cell in the fourth cell set, acquiring the distance between the cell and an acquisition place and the signal strength according to the matching data;
if the distance between the cell and the acquisition place is judged and obtained to be larger than or equal to a preset cell coverage distance threshold, and the signal intensity of the cell is larger than or equal to a preset signal intensity absolute threshold, determining that the detection result is that cross-zone coverage exists;
and if the distance between the cell and the acquisition place is judged and obtained to be smaller than a preset cell coverage distance threshold and the signal intensity of the cell is larger than or equal to a preset signal intensity absolute threshold, determining that the detection result is that the adjacent cell missing distribution exists.
4. The method according to claim 2, wherein the step of detecting whether the 5G network has pilot pollution according to the parameters of the cells in the first cell set and the second cell set includes:
acquiring a union of the first cell set and the second cell set as a third cell set;
acquiring the signal intensity of each cell in the third cell set according to the matching data;
for any service cell obtained according to the service drive test data in the matching data, if it is judged and known that the signal strength of the third cell set is greater than or equal to a preset signal strength threshold except for the service cell, the number of cells of which the difference value with the signal strength of the service cell is less than or equal to a preset signal strength difference value first threshold is greater than or equal to a preset pilot frequency number threshold, and the detection result is determined to be pilot frequency pollution.
5. The method according to claim 2, wherein the step of detecting whether the 5G network has the modal interference according to the parameters of the cells in the first cell set and the second cell set includes:
acquiring a union of the first cell set and the second cell set as a third cell set;
acquiring the modulus and the signal strength of the physical cell identifier of each cell in the third cell set according to the matching data;
for any service cell obtained according to the service drive test data in the matching data, if it is judged and known that, except for the service cell, a cell in which the modulus of the physical cell identifier is equal to the modulus of the physical cell identifier of the service cell and the difference between the signal strength and the signal strength of the service cell is less than or equal to a preset signal strength difference second threshold exists in the third cell set, it is determined that the detection result is that the modulus interference exists.
6. A device for detecting a failure in a 5G network, comprising:
the frequency sweeping module is used for sweeping frequency of the 5G network to obtain frequency sweeping data of the 5G network;
the service drive test module is used for carrying out service drive test on the 5G network and acquiring service drive test data of the 5G network;
the data matching module is used for correlating the frequency sweep data of the 5G network with the service drive test data to obtain matching data;
the fault detection module is used for detecting faults in the 5G network according to the matching data and acquiring a fault detection result;
the data matching module is specifically used for matching the sweep frequency data with the service drive test data according to the data acquisition time, the data acquisition place and the corresponding sub-beams; acquiring matched data according to sweep frequency data and service drive test data matched with the acquisition time, the acquisition place and the corresponding sub-beams;
the fault detection module is specifically configured to detect whether an antenna port signal imbalance exists in the 5G network according to the matching data, and obtain a detection result;
the fault detection module is specifically configured to screen out, according to the matching data, that, of the service drive test data in the matching data, a throughput rate threshold T lower than a preset throughput rate threshold T 0 Instantaneous throughput rate T of 1 ,...,T x (ii) a Will T 1 ,...,T x And each instantaneous throughput rate in the matched data and the sweep data in the matched data, T 1 ,...,T x Correlating the signal strength set { RSRP } and the signal quality set { SINR } of each antenna port corresponding to each instantaneous throughput rate; respectively obtaining maximum RSRP according to the signal strength set { RSRP } and the signal quality set { SINR }, wherein the maximum RSRP is obtained max 、SINR max Minimum value RSRP min And SINR min (ii) a Maximum value RSRP judgment max And minimum value RSRP min Whether the difference value between the two is less than or equal to a preset first threshold RSRP re And maximum value SINR max And minimum SINR min Whether the difference value between the two is less than or equal to a preset second threshold SINR re (ii) a If the judgment result of any one condition is yes, the problem of unbalanced antenna port signals does not exist; if the judgment results of the two conditions are negative, the problem of unbalanced antenna port signals exists.
7. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method for detecting 5G network failures according to any of claims 1 to 5 are implemented when the processor executes the program.
8. A non-transitory computer readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for detecting 5G network faults according to any one of claims 1 to 5.
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| CN103079221A (en) * | 2012-12-20 | 2013-05-01 | 武汉虹翼信息有限公司 | Method for conjoint analysis of mobile network condition by using sweep generator and testing mobile phone |
| CN104754621A (en) * | 2013-12-31 | 2015-07-01 | 中国移动通信集团上海有限公司 | Wireless network detecting method and device |
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