A method, apparatus, device and medium for detecting a combiner

Abstract

Embodiments of the application disclose a detection method, device and equipment of a combiner and a medium. In response to the combination of a 5G cell and a 4G cell, measurement data of a 5G heterogeneous system is obtained, the measurement data is collected in a preset period, includes a plurality of sampling points, and each sampling point includes a 5G signal level and a 4G signal level. The difference between the 5G signal level and the 4G signal level in each sampling point data is determined. The working state of the combiner is determined based on a first proportion. The first proportion is the proportion of the number of sampling points with a difference greater than a first threshold to the total number of sampling points. The working state includes a normal state and an abnormal state. The working state of the 4G and 5G combiner can be accurately detected.

Description

Technical Field

[0001] The present invention relates to the field of communication technology, and in particular to a method, apparatus, device and medium for detecting a combiner. Background Technology

[0002] In existing indoor distribution systems, 4G and 5G networks often share frequency bands using combiners to efficiently utilize spectrum resources and reduce construction costs. As a key passive device, the combiner can combine and allocate signals from different frequency bands, supporting the simultaneous operation of 4G and 5G networks in the same indoor distribution system. However, due to differences in technological development and market demand, some combiner designs have not fully considered support for the full bandwidth of 5G. 5G networks operate at higher frequencies (e.g., 2.6GHz), have wider bandwidths (up to 100MHz), and use more complex modulation schemes (e.g., high-order 256QAM). This places significantly higher demands on combiners' frequency band compatibility and signal attenuation consistency compared to 4G. When combiners do not support the full bandwidth of 5G, issues such as frequency band blocking (filtering blockage of specific 5G sub-bands, affecting signal transmission or signal-to-noise ratio) and signal attenuation (signal attenuation exceeding 15dB in 5G-unsupported bands, far exceeding the normal 5-8dB range) can occur. This ultimately manifests as a hidden contradiction of "good 4G coverage but poor 5G coverage"—users in the same area experience stable 4G speeds (≥10Mbps), but weak 5G signals (RSRP≤-110dBm), low speeds (≤50Mbps), or even complete inability to access the network. Because such problems do not trigger network alarms, and the initial 5G performance degradation does not reach the user-reported threshold, traditional technical solutions struggle to accurately identify them. Summary of the Invention

[0003] This invention provides a method, apparatus, device, and medium for detecting combiners, which can accurately detect the working status of 4G and 5G combiners.

[0004] According to one aspect of the present invention, a method for detecting a combiner is provided, comprising: In response to the merging of 5G and 4G cells, measurement data of 5G inter-systems is acquired. The measurement data is collected within a preset period and includes multiple sampling points, and each sampling point includes 5G signal level and 4G signal level. Determine the difference between the 5G signal level and the 4G signal level in the data at each sampling point; The operating state of the combiner is determined based on a first ratio; wherein, the first ratio is the proportion of the number of sampling points with a difference greater than a first threshold to the total number of sampling points; the operating state includes a normal state and an abnormal state.

[0005] According to another aspect of the present invention, a detector for a combiner is provided, comprising: The data acquisition module is used to acquire measurement data of the 5G inter-system in response to the combination of 5G and 4G cells. The measurement data is collected within a preset period and includes multiple sampling points, and each sampling point includes 5G signal level and 4G signal level. The level difference determination module is used to determine the difference between the 5G signal level and the 4G signal level in the data of each sampling point; The combiner operating status determination module is used to determine the operating status of the combiner based on a first ratio; wherein, the first ratio is the proportion of the number of sampling points with a difference greater than a first threshold to the total number of sampling points; the operating status includes a normal state and an abnormal state.

[0006] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the combiner detection method according to any embodiment of the present invention.

[0007] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the combiner detection method according to any embodiment of the present invention.

[0008] According to another aspect of the present invention, a computer program product is provided, which, when executed by a processor, implements the detector method for a combiner as described in any of the embodiments of the present invention.

[0009] This invention discloses a detection method, apparatus, device, and medium for a combiner. In response to the combining of a 5G cell and a 4G cell, measurement data from the 5G inter-system is acquired. This measurement data is collected within a preset period and includes multiple sampling points, each including both 5G and 4G signal levels. The difference between the 5G and 4G signal levels in each sampling point is determined. The operating state of the combiner is determined based on a first ratio, where the first ratio is the proportion of sampling points with a difference greater than a first threshold to the total number of sampling points. The operating state includes normal and abnormal states. This method can accurately detect the operating state of the 4G and 5G combiner.

[0010] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0011] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 This is a flowchart of a combiner detection method according to an embodiment of the present invention; Figure 2 This is a schematic diagram of a method for collecting measurement data in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of a combiner detection device according to an embodiment of the present invention; Figure 4 This is a schematic diagram of the structure of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0013] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0014] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0015] It is understood that before using the technical solutions disclosed in the various embodiments of this disclosure, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in this disclosure in an appropriate manner in accordance with relevant laws and regulations, and user authorization should be obtained.

[0016] Existing technical solutions mainly rely on two types of passive triggering mechanisms: one is user-reported investigation, where after users report poor 5G experience, operators lock down the area and arrange engineers for on-site testing. However, this has a significant lag (the average interval between the occurrence of the problem and the reporting exceeds 72 hours), and hidden problems in low-traffic areas are easily overlooked. The other is network indicator anomaly monitoring, which monitors macro indicators such as the average RSRP and rate of 5G cells through OMC. When the indicators drop by more than 10% compared to the historical average, an investigation is triggered. However, this relies on "significant fluctuations in indicators," while the 5G performance degradation caused by insufficient combiner bandwidth is gradual (daily average rate decrease ≤2%) and is easily confused with factors such as base station power adjustment and interference, with an actual misjudgment rate exceeding 40%. Existing technologies lack proactive data collection and quantitative analysis methods for combiner characteristics, and can only respond passively when the problem has become apparent (reported by users or when indicators plummet). This proposal, however, proactively collects 4G to 5G MR data and 5G RB-level RSSI data, combined with frequency band-specific thresholds and dynamic analysis models, which can accurately identify problems in their latent stages. This makes it impossible for existing technologies to solve problems such as lag, low accuracy, and high cost.

[0017] Example 1 Figure 1 This is a flowchart illustrating a method for detecting a combiner according to an embodiment of the present invention. This embodiment is applicable to situations where the operating status of a combiner needs to be detected. The method can be executed by the combiner detection device in this embodiment, which can be implemented using software and / or hardware, such as... Figure 1 As shown, the method specifically includes the following steps: S110 responds to the 5G cell and 4G cell combining to acquire measurement data of 5G inter-system.

[0018] The measurement data is collected within a preset period and includes multiple sampling points, with each sampling point including both 5G and 4G signal levels. The 5G signal level can be the amplitude of the 5G Reference Signal Received Power (RSRP) and the amplitude of the 4G signal level's RSRP.

[0019] In this embodiment, based on the equipment installation design drawings, the activation status of the 5G cell is checked in detail to determine whether the 5G cell and the 4G cell are combined. If they are combined, the 5G inter-system measurement function for the 4G frequency point is activated. Through this function, the 5G cell can measure the signal of the 4G frequency point, providing data support for subsequent data processing; if they are not combined, the 5G cell does not participate in the subsequent process. For example, Figure 2 This is a schematic diagram of a method for collecting measurement data in an embodiment of the present invention, such as... Figure 2As shown, the 4G and 5G signals are combined by a combiner, then coupled and split once by a coupler and a power divider, and then transmitted to the user equipment (UE) via an antenna (ANT). After enabling the inter-system measurement function, measurement data including 4G RSRP and / or 5G RSRP can be obtained.

[0020] The measurement data consists of 4G and 5G coverage data categorized at the cell level, enabling subsequent data processing to be performed on the same coverage area, ensuring the accuracy and comparability of the data.

[0021] The preset period can be set in advance, for example: 1 day.

[0022] Optionally, if the number of sampling points collected within the preset period does not reach the first set threshold, the period extension amount is determined based on the number of sampling points and the first set threshold; the preset period is extended based on the period extension amount, and the measurement data of the 5G inter-system within the extended period is obtained.

[0023] The first set threshold is related to the number of users in the cell. For example, when the number of users is ≥50, the first set threshold n=1000, and when the number of users is <50, the first set threshold n=500.

[0024] In this embodiment, if the number of sampling points collected within a preset period reaches a first set threshold (i.e., the number of sampling points ≥ the first set threshold), then the subsequent steps are executed directly. If the number of sampling points collected within the preset period does not reach the first set threshold (i.e., the number of sampling points < the first set threshold), then it indicates that the number of sampling points is insufficient and sampling needs to continue.

[0025] Specifically, the formula for calculating the period extension based on the number of sampling points and the first set threshold can be expressed as: ROUNDUP(n / Y,0)*DD, where n is the first set threshold, Y is the number of sampling points collected within the preset period, D is the preset period, and ROUNDUP() is the rounding up function. For ROUNDUP(number, num_digits), number represents any real number to be rounded up, and num_digits represents the number of digits after rounding (relative to the decimal point); if num_digits > 0: retain the specified number of decimal places and carry over; if num_digits = 0: round up to the nearest integer; if num_digits < 0: round up to the left of the decimal point (tens, hundreds, etc.). For example, assuming D is 1 day, n=1000, Y=600, the period extension is ROUNDUP(1000 / 600,0)*1-1=2-1=1 day, that is, the extended period is 2 days. Continue to collect sampling points within the extended period so that the final number of sampling points reaches the first set threshold.

[0026] S120, determine the difference between the 5G signal level and the 4G signal level in the data of each sampling point.

[0027] The formula for calculating this difference can be expressed as: T = P 5G -P 4G .

[0028] S130, determine the operating state of the combiner based on the first ratio.

[0029] The first proportion is the ratio of the number of sampling points with a difference greater than the first threshold to the total number of sampling points; the working status includes normal status and abnormal status.

[0030] In this embodiment, the working state of the combiner can be determined based on the first ratio as follows: if the first ratio is greater than the second set threshold, the state of the combiner is determined to be abnormal; if the first ratio is less than or equal to the second set threshold, the state of the combiner is determined to be normal.

[0031] The second set threshold X can be a dynamically changing value that adjusts with changes in cell load. In this embodiment, a base value can be set for the second set threshold, and then the second set threshold can be dynamically adjusted based on the cell load. For example, assuming the base value of the second set threshold is set to 30% (this value is obtained based on historical fault data statistics), when the cell load is ≥70% (busy time): X=X0-5% (improving sensitivity and avoiding high load masking problems); when the cell load is <30% (off-peak time): X=X0+5% (reducing false alarms and invalid alarms); and there are no faults for 3 consecutive days: X=X0+3% (adaptively relaxing the threshold).

[0032] Optionally, the measurement data includes measurement data for different frequency band combinations, where the frequency band combination is a combination of 4G and 5G frequency bands, and the first thresholds corresponding to different frequency band combinations may be the same or different.

[0033] The combinations of 5G and 4G frequency bands can include: N1 and E, N2 and D, N3 and F, N4 and FDD1800, and N5 and FDD900. N1, N2, N3, N4, and N5 are all 5G frequency bands (NR bands), while E, D, F, FDD1800, and FDD900 are all 4G frequency bands (LTE bands). The first threshold for the combination of N1 and E is 7, for N2 and D it is 6, for N3 and F it is 9, for N4 and FDD1800 it is 9, and for N5 and FDD900 it is 15. Table 1 illustrates the mapping relationship between different combinations of 5G and 4G frequency bands and the first threshold.

[0034] Table 1 Optionally, the working state of the combiner can be determined based on the first ratio as follows: if the first ratio of the number of different frequency band combinations exceeding the first set number is less than or equal to the second set threshold, the working state of the combiner is normal; if the first ratio corresponding to different frequency band combinations is greater than the second set threshold, the working state of the combiner is abnormal; wherein, the second set threshold is related to the cell load.

[0035] In this embodiment, if the first proportion exceeding the first preset number in different frequency band combinations is less than or equal to the second preset threshold, it indicates that the interface of the combiner for the frequency band combinations where the first proportion exceeds the second preset threshold is loose, and it is not a problem with the combiner itself. The combiner's operating status is then determined to be normal, and the user is prompted to check the corresponding interface. If the first proportion for all different frequency band combinations is greater than the second preset threshold, it indicates that the combiner itself has a problem, and its operating status is determined to be abnormal.

[0036] For example, suppose the measurement data corresponds to two frequency band combinations, such as N4 and FDD1800, and N5 and FDD900. The first ratio corresponding to the N4 and FDD1800 combination is X1, and the first ratio corresponding to the N5 and FDD900 combination is X2. If X1 > X and X2 > X, the combiner is determined to be in an abnormal state. If only one of the first ratios is greater than a second preset threshold, then the combiner interface for that frequency band combination is first checked for looseness.

[0037] Optionally, the method further includes: if the combiner is in normal operating condition, collecting Received Signal Strength Indicator (RSSI) data at the Resource Block (RB) level of the 5G cell; RBs and RSSIs are in one-to-one correspondence; grouping RBs based on the 5G frequency band to obtain multiple RB groups; wherein the number of RBs in each RB group is greater than or equal to a second preset number; filtering outliers in the RSSIs within the multiple RB groups; and determining the 5G frequency band coverage of the combiner based on the filtered multiple RB groups.

[0038] In this paper, by establishing a communication interface with the network management system, the RSSI value corresponding to each RB in the 5G cell is obtained according to a pre-set collection cycle (this cycle can be flexibly set according to the actual network conditions and needs, such as collecting once per minute).

[0039] One way to obtain multiple RB groups based on the 5G frequency band is to group the RBs according to the attenuation characteristics of the 5G frequency band by the combiner, and group the RBs with similar attenuation characteristics together.

[0040] Specifically, extract the frequency response curve of the combiner from the combiner specifications or measured data. This curve reflects the signal attenuation value (dB) corresponding to different frequencies (MHz). Identify the abrupt attenuation change points in the frequency response curve, i.e., frequency points where the attenuation change rate is ≥5dB / MHz (e.g., at 2575MHz, the attenuation suddenly increases from 5dB to 15dB). This point marks the boundary between the frequency bands supported and unsupported by the combiner. Establish a "frequency-RB" mapping relationship: There is a one-to-one correspondence between the RB number and the center frequency of a 5G cell. The calculation formula is as follows: ;in: This refers to the starting frequency of 5G cells (e.g., 2515MHz in the N41 band). 0.5 represents the subcarrier spacing (30kHz) and the RB center offset. For example, the center frequencies of RB0, RB30, and RB31 in the N41 band (2515-2675MHz) correspond to... MHz MHz MHz. RB groups are divided according to attenuation characteristics: RBs are divided into "attenuation consistency groups" based on the frequency corresponding to the attenuation abrupt change point.

[0041] For example, if the abrupt change point frequency of a combiner is 2575MHz, corresponding to the interval between RB30 and RB31 (RB30 center frequency 2515.915MHz, RB31 center frequency 2515.945MHz), then RB0-RB30 are divided into "high attenuation group N1" (corresponding to the unsupported frequency band 2515-2575MHz), and RB31-RB99 are divided into "low attenuation group N2" (corresponding to the supported frequency band 2575-2675MHz).

[0042] The second set quantity can be preset, for example, set to 10. That is, the number of RBs in each group is ≥10. If a frequency band has less than 10 RBs, it is merged with the adjacent frequency band (e.g., 2515-2535MHz has only 5 RBs, which are merged with the 5 RBs in 2535-2555MHz to form N1).

[0043] In this embodiment, the outlier filtering method for RSSI within the multiple RB groups can be: using the Z-score method ( Extreme values ​​exceeding 3 standard deviations (|Z|>3) were removed (e.g., an RB with RSSI = -50dBm, significantly higher than the group mean of -80dBm, was judged as a sudden interference). Among these, The mean RSSI within the RB group. represents the standard deviation of each RSSI within the RB group.

[0044] Optionally, the method for determining the 5G band coverage of the combiner based on multiple filtered RB groups can be as follows: for each RB group, determine the signal stability value of the RB group based on the statistical parameters of RSSI within the RB group; wherein, the statistical parameters include the mean and standard deviation; determine the difference between the maximum and minimum signal stability values ​​among multiple RB groups; if the difference is less than or equal to a third preset threshold, the combiner supports the entire 5G band; if the difference is greater than the third preset threshold, the combiner does not support the entire 5G band.

[0045] The stable signal value of an RB group is obtained by weighted summation of the RSSI values ​​within that RB group. The weight (i.e., weighting coefficient) of each RSSI value can be determined by the mean and standard deviation.

[0046] Specifically, for each RB group, the signal stability value of the RB group can be determined based on the statistical parameters of the RSSI within the RB group as follows: determine the weight of each RSSI within the RB group based on the statistical parameters; and perform a weighted calculation on each RSSI within the RB group based on the weights to obtain the signal stability value of the RB group.

[0047] The weight of each RSSI is determined by the ratio of the standard deviation to the mean. If the ratio is less than a first preset value, the weight is set to the first value; if the ratio is greater than or equal to the first preset value, the weight is set to the second value. For example, the ratio of the standard deviation to the mean is indicated as follows: If CV < 5%, then the weight of RB is 1.2; otherwise, it is 0.8.

[0048] The formula for calculating the signal stability value of an RB group can be expressed as: , For the first The weights of each RB, ( , For the first (The start and end numbers of the RBs in the group). For example, after removing RBs from group N1 (RB0-RB30), there are 28 RBs remaining. 20 of them have a CV < 5% (= 1.2) and 8 have a CV ≥ 5% (= 0.8), so R1 is calculated to be -95dBm; for group N2, R2 is calculated to be -80dBm.

[0049] The third threshold can be preset, for example, to 8dB. The difference between the maximum and minimum signal stability values ​​in multiple RB groups can be calculated as: D = Max(R1, ..., Rn) - Min(R1, ..., Rn). This is compared with the third threshold U. If D ≤ U, the combiner supports the entire 5G frequency band; if D > U, the combiner does not support the entire 5G frequency band.

[0050] In this embodiment, when D>U, it indicates a large difference in the mean RSSI between different RB groups, suggesting uneven signal strength distribution across different frequency bands within the 5G cell. This may indicate that the combiner cannot effectively support the entire 5G cell frequency band. In this case, it is determined that the combiner does not support the entire 5G cell frequency band and needs to be replaced with one that does. When D≤U, it indicates that the difference in the mean RSSI between different RB groups is within an acceptable range, and the signal strength distribution across different frequency bands within the 5G cell is relatively uniform. The combiner can effectively support the entire 5G cell frequency band. In this case, it is determined that the combiner supports the entire 5G cell frequency band, and no special processing is required.

[0051] The technical solution of this embodiment, in response to the combining of 5G and 4G cells, acquires measurement data of the 5G inter-system. The measurement data is collected within a preset period and includes multiple sampling points, with each sampling point including both 5G and 4G signal levels. The difference between the 5G and 4G signal levels in each sampling point is determined. The operating state of the combiner is determined based on a first ratio, where the first ratio is the proportion of sampling points with a difference greater than a first threshold to the total number of sampling points. The operating state includes normal and abnormal states. This method can accurately detect the operating state of the 4G and 5G combiner, improving identification efficiency and accuracy.

[0052] Example 2 Figure 3 This is a schematic diagram of a detector for a combiner provided in an embodiment of the present invention. Figure 2 As shown, the device includes: The data acquisition module 310 is used to acquire measurement data of the 5G inter-system in response to the combination of 5G cell and 4G cell. The measurement data is collected within a preset period and includes multiple sampling points, and each sampling point includes 5G signal level and 4G signal level. The level difference determination module 320 is used to determine the difference between the 5G signal level and the 4G signal level in the data of each sampling point; The combiner operating status determination module 330 is used to determine the operating status of the combiner based on a first ratio; wherein, the first ratio is the proportion of the number of sampling points with a difference greater than a first threshold to the total number of sampling points; the operating status includes a normal state and an abnormal state.

[0053] Optionally, the data acquisition module 310 is also used for: If the number of sampling points collected within the preset period does not reach the first set threshold, then the period extension amount is determined based on the number of sampling points and the first set threshold. The preset period is extended based on the aforementioned period extension amount, and measurement data of 5G inter-systems are obtained within the extended period.

[0054] Optionally, the measurement data includes measurement data of different frequency band combinations, wherein the frequency band combination is a combination of 4G frequency band and 5G frequency band, and the first thresholds corresponding to the different frequency band combinations are the same or different.

[0055] Optionally, the combiner operating status determination module 230 is also used for: If the proportion of the different frequency band combinations exceeding the first preset number is less than or equal to the second preset threshold, then the combiner is in normal operating condition. If the first ratio corresponding to the different frequency band combinations is greater than the second set threshold, then the working state of the combiner is abnormal; wherein, the second set threshold is related to the cell load.

[0056] Optionally, it also includes: a 5G frequency band coverage determination module, used for: If the combiner is in normal working condition, the Received Signal Strength Indicator (RSSI) at the Resource Block (RB) level of the 5G cell is collected; RB and RSSI are in one-to-one correspondence. Based on the 5G frequency band, RBs are grouped to obtain multiple RB groups; wherein the number of RBs in each RB group is greater than or equal to a second predetermined number; Outlier filtering is performed on the RSSIs within the multiple RB groups; The 5G band coverage of the combiner is determined based on multiple filtered RB groups.

[0057] Optionally, the 5G frequency band coverage determination module is also used for: For each RB group, the signal stability value of the RB group is determined based on the statistical parameters of RSSI within the RB group; wherein the statistical parameters include the mean and standard deviation; Determine the difference between the maximum and minimum signal stability values ​​in multiple RB groups; If the difference is less than or equal to the third set threshold, the combiner supports the full 5G frequency band; if the difference is greater than the third set threshold, the combiner does not support the full 5G frequency band.

[0058] Optionally, the 5G frequency band coverage determination module is also used for: The weight of each RSSI within the RB group is determined based on the statistical parameters. The RSSI of each RB group is weighted and calculated based on the weights to obtain the signal stability value of the RB group.

[0059] The above-described products can perform the methods provided in any embodiment of the present invention, and have the corresponding functional modules and beneficial effects for performing the methods.

[0060] Example 3 Figure 4A schematic diagram of an electronic device 10 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0061] like Figure 4 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory 12 or a random access memory 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the read-only memory 12 or loaded from storage unit 18 into the random access memory 13. The random access memory 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, read-only memory 12, and random access memory 13 are interconnected via a bus 14. An input / output interface 15 is also connected to the bus 14.

[0062] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0063] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, central processing units, graphics processing units, various special-purpose artificial intelligence computing chips, various processors running machine learning model algorithms, digital signal processors, and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the combiner detection method.

[0064] In some embodiments, the combiner detection method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via read-only memory 12 and / or communication unit 19. When the computer program is loaded into random access memory 13 and executed by processor 11, one or more steps of the combiner detection method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the combiner detection method by any other suitable means (e.g., by means of firmware).

[0065] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays, application-specific integrated circuits (ASICs), application-specific standard products (ASICs), systems-on-a-chip (SoCs), payload programmable logic devices, computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0066] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0067] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory, read-only memory, erasable programmable read-only memory, optical fibers, portable compact disk read-only memory, optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0068] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a cathode ray tube or liquid crystal display) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0069] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0070] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can 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 address the shortcomings of traditional physical hosts and virtual private servers, such as high management difficulty and weak business scalability.

[0071] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0072] This invention also provides a computer program product, including a computer program that, when executed by a processor, implements the combiner detection method according to any embodiment of the invention.

[0073] In the implementation of a computer program product, computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof. Programming languages ​​include object-oriented programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0074] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for detecting a combiner, characterized in that, include: In response to the merging of 5G and 4G cells, measurement data of 5G inter-systems is acquired. The measurement data is collected within a preset period and includes multiple sampling points, and each sampling point includes 5G signal level and 4G signal level. Determine the difference between the 5G signal level and the 4G signal level in the data at each sampling point; The operating state of the combiner is determined based on a first ratio; wherein, the first ratio is the proportion of the number of sampling points with a difference greater than a first threshold to the total number of sampling points; the operating state includes a normal state and an abnormal state.

2. The method according to claim 1, characterized in that, If the number of sampling points collected within the preset period does not reach the first set threshold, then the period extension amount is determined based on the number of sampling points and the first set threshold. The preset period is extended based on the aforementioned period extension amount, and measurement data of 5G inter-systems are obtained within the extended period.

3. The method according to claim 1, characterized in that, The measurement data includes measurement data of different frequency band combinations, wherein the frequency band combination is a combination of 4G frequency band and 5G frequency band, and the first thresholds corresponding to the different frequency band combinations are the same or different.

4. The method according to claim 3, characterized in that, Determining the operating state of the combiner based on a first ratio includes: If the proportion of the different frequency band combinations exceeding the first preset number is less than or equal to the second preset threshold, then the combiner is in normal operating condition. If the first ratio corresponding to the different frequency band combinations is greater than the second set threshold, then the working state of the combiner is abnormal; wherein, the second set threshold is related to the cell load.

5. The method according to claim 1, characterized in that, Also includes: If the combiner is in normal working condition, the Received Signal Strength Indication (RSSI) at the Resource Block (RB) level of the 5G cell is collected. There is a one-to-one correspondence between RB and RSSI; Based on the 5G frequency band, RBs are grouped to obtain multiple RB groups; wherein the number of RBs in each RB group is greater than or equal to a second predetermined number; Outlier filtering is performed on the RSSIs within the multiple RB groups; The 5G band coverage of the combiner is determined based on multiple filtered RB groups.

6. The method according to claim 5, characterized in that, The 5G band coverage of the combiner is determined based on multiple filtered RB groups, including: For each RB group, the signal stability value of the RB group is determined based on the statistical parameters of RSSI within the RB group; wherein the statistical parameters include the mean and standard deviation; Determine the difference between the maximum and minimum signal stability values ​​in multiple RB groups; If the difference is less than or equal to the third set threshold, the combiner supports the full 5G frequency band; if the difference is greater than the third set threshold, the combiner does not support the full 5G frequency band.

7. The method according to claim 6, characterized in that, For each RB group, the signal stability value of the RB group is determined based on the statistical parameters of the RSSI within the RB group, including: The weight of each RSSI within the RB group is determined based on the statistical parameters. The RSSI of each RB group is weighted and calculated based on the weights to obtain the signal stability value of the RB group.

8. A detection device for a combiner, characterized in that, include: The data acquisition module is used to acquire measurement data of the 5G inter-system in response to the combination of 5G and 4G cells. The measurement data is collected within a preset period and includes multiple sampling points, and each sampling point includes 5G signal level and 4G signal level. The level difference determination module is used to determine the difference between the 5G signal level and the 4G signal level in the data of each sampling point; The combiner operating status determination module is used to determine the operating status of the combiner based on a first ratio; wherein, the first ratio is the proportion of the number of sampling points with a difference greater than a first threshold to the total number of sampling points; the operating status includes a normal state and an abnormal state.

9. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the detection method of the combiner according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the detection method for the combiner as described in any one of claims 1-7.

Images