CN105101276B - A kind of monitoring method and device of mobile network signals stability - Google Patents

Abstract

Embodiments of the present invention provide a method and device for monitoring the stability of mobile network signals, so as to at least solve the problem in the prior art that the stability of mobile network signals cannot be monitored. The method includes: acquiring and storing all MRs reported by all UEs within the preset network range collected within one sampling time period; and determining that the preset network nodes can be used to reversely monitor the preset network nodes according to all the MRs reported by all UEs at least one characteristic UE; in each sampling period within one sampling period, according to the signal strength of the network where each characteristic UE in the at least one characteristic UE, and in the previous sampling period of the sampling period According to the signal strength of the network where the UE is located, calculate the stability of the preset network node in each sampling period; according to the stability of the preset network node in each sampling period, determine the location of the preset network node in each sampling period Whether the network signal is stable. The invention is applicable to the technical field of communication.

Description

A monitoring method and device for mobile network signal stability

technical field

The invention relates to the field of communication technology, in particular to a method and device for monitoring the stability of mobile network signals.

Background technique

In the daily operation and maintenance of mobile networks, the monitoring of network operation status is particularly important. Wherein, the network running status usually includes the running status of network equipment and the stability status of network signals.

At present, daily network monitoring is mainly based on abnormal operation of network equipment hardware facilities and automatic alarms in the background. That is to say, the current daily network monitoring is mainly limited to monitoring network equipment, while ignoring the monitoring of mobile network signal stability.

Therefore, how to monitor the stability of mobile network signals has become an urgent problem to be solved.

Contents of the invention

Embodiments of the present invention provide a method and device for monitoring the stability of mobile network signals, so as to at least solve the problem that the stability of mobile network signals cannot be monitored in the prior art.

In order to achieve the above object, embodiments of the present invention adopt the following technical solutions:

In the first aspect, a method for monitoring the stability of mobile network signals is provided, including:

Acquiring and storing all MRs reported by all UEs in the preset network range collected within one sampling time period, wherein each MR reported by each UE in all UEs includes the reporting time of the MR, the UE The network node identifier and signal strength of the network where it is located, and the user identifier of the UE, I≥2, where I is a positive integer;

According to all MRs reported by all UEs, determine at least one characteristic UE under the preset network node that can be used to reversely monitor the preset network node;

In each sampling time period within the one sampling time period, according to the signal strength of the network where each characteristic UE in the at least one characteristic UE is located, and the UE in the previous sampling time period of the sampling time period The signal strength of the network where the UE is located, calculating the stability of the preset network node in each sampling time period, wherein the signal strength of the network where the UE is located in the first sampling time period is 0 in the previous sampling time period;

According to the stability of the preset network node in each sampling time period, it is judged whether the signal of the network where the preset network node is located in each sampling time period is stable.

Based on the monitoring method for the stability of the mobile network signal provided by the embodiment of the present invention, it can be judged whether the signal of the network where the preset network node is located within the sampling period is stable, that is, a method for monitoring the stability of the mobile network signal is provided, so that Effectively and timely discover the fluctuation of the mobile network signal, so that the alarm can be reported in time when the network signal fluctuates greatly, so that the network maintenance personnel can deal with it.

In a second aspect, there is provided a monitoring device for mobile network signal stability, characterized in that the monitoring device includes: an acquisition unit, a storage unit, a determination unit, a calculation unit, and a judgment unit;

The obtaining unit is configured to obtain all measurement report MRs reported by all user equipment UEs within a preset network range collected within one sampling time period, wherein each of the MRs reported by each of the all UEs Including the reporting time of the MR, the network node identifier and signal strength of the network where the UE is located, and the user identifier of the UE, I≥2, and I is a positive integer;

The storage unit is configured to store all MRs reported by all UEs within the preset network range collected within the one sampling time period;

The determining unit is configured to determine at least one characteristic UE under the preset network node that can be used to reverse monitor the preset network node according to all MRs reported by the UEs;

The calculation unit is configured to, in each sampling time period of the one sampling time period, according to the signal strength of the network where each characteristic UE in the at least one characteristic UE is located, and the preceding The signal strength of the network where the UE is located within a sampling time period, and calculating the stability of the preset network node within each sampling time period, wherein the UE is located in the previous sampling time period of the first sampling time period The signal strength of the network is 0;

The judging unit is configured to judge whether the signal of the network where the preset network node is located in each sampling time period is stable according to the stability of the preset network node in each sampling time period.

Based on the mobile network signal stability monitoring device provided by the embodiment of the present invention, it can be judged whether the signal of the network where the preset network node is located within the sampling period is stable, that is, a mobile network signal stability monitoring method is provided, so that Effectively and timely discover the fluctuation of the mobile network signal, so that the alarm can be reported in time when the network signal fluctuates greatly, so that the network maintenance personnel can deal with it.

Description of drawings

FIG. 1 is a first schematic flow diagram of a method for monitoring mobile network signal stability provided by an embodiment of the present invention;

FIG. 2 is a second schematic flow diagram of a method for monitoring mobile network signal stability provided by an embodiment of the present invention;

FIG. 3 is a third schematic flow diagram of a method for monitoring mobile network signal stability provided by an embodiment of the present invention;

FIG. 4 is a schematic structural diagram of an apparatus for monitoring mobile network signal stability provided by an embodiment of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

In order to clearly describe the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, words such as "first" and "second" are used to distinguish the same or similar items with basically the same functions and functions. Those skilled in the art can understand that words such as "first" and "second" do not limit the quantity and execution order.

Embodiment one,

An embodiment of the present invention provides a method for monitoring the stability of a mobile network signal, as shown in FIG. 1 , including:

S101. Acquire and store all measurement reports (Measurement Report, MR for short) reported by all user equipment (User Equipment, UE for short) within a preset network range collected within one sampling time period, wherein, in all UEs Each MR reported by each UE includes the reporting time of the MR, the network node identifier and signal strength of the network where the UE is located, and the user identifier of the UE. I≥2, where I is a positive integer.

S102. According to all the MRs reported by all the UEs, determine at least one characteristic UE under the preset network node that can be used to reversely monitor the preset network node.

S103. In each sampling time period of the one sampling time period, according to the signal strength of the network where each characteristic UE in the at least one characteristic UE is located, and in the previous sampling time period of the sampling time period The signal strength of the network where the UE is located, calculating the stability of the preset network node in each sampling time period, wherein, the signal strength of the network where the UE is located in the previous sampling time period of the first sampling time period is: 0.

S104. According to the stability of the preset network node in each sampling time period, determine whether the signal of the network where the preset network node is located in each sampling time period is stable.

Specifically, in step S101 of the embodiment of the present invention:

The duration of each sampling time period in one sampling time period may be the same or different, which is not specifically limited in this embodiment of the present invention. Wherein, the sampling duration may specifically be 1 minute, 1 hour, 1 day, 1 week, or 1 month, etc., which is not specifically limited in this embodiment of the present invention. For example, the distribution of I sampling time periods can be shown in Table 1:

Table I

Sampling period number Sampling period 1 June 15, 2015, 8:00-18:00 2 June 16, 2015, 8:00-18:00 … … I 8:00-18:00, June 30, 2015

Specifically, the preset network range may be a network range in units of a radio network controller (Radio Network Controller, RNC for short), or may be a network range of the entire network, etc., which is not specifically limited in this embodiment of the present invention.

MR refers to the information about the network signal situation of the UE's location reported by the UE in the mobile network, and it is one of the main bases for evaluating the quality of the wireless environment. Wherein, each MR includes the reporting time of the MR, the network element identifier and signal strength of the network where the UE is located, and the user identifier of the UE. Among them, the network element identifier of the network where the UE is located is usually used to uniquely identify the area covered by a cell (a base station/sector cell); the user identifier of the UE is usually used to uniquely identify a certain user within the preset network range, such as the The subscriber identifier may be an International Mobile Subscriber Identification Number (IMSI for short).

Wherein, the MR is usually obtained from an MR collection server, and of course, the MR may also be obtained in other ways, which is not specifically limited in this embodiment of the present invention.

Specifically, in step S102 of the embodiment of the present invention:

As shown in FIG. 2, the determination of at least one characteristic UE under the preset network node that can be used to reverse monitor the preset network node according to all the MRs reported by the UEs may specifically include:

S102a. According to all MRs reported by all UEs, acquire user information under a preset network node within the one sampling time period.

The user information includes a sampling time period and the user identifier of the UE under the preset network node within the sampling time period, the number of MRs reported by the UE on the preset network node, and the number of MRs reported by the UE on the preset network node The ratio of the number of MRs reported by the node to the number of MRs reported by the UE within the sampling period.

Wherein, the preset network node may specifically be a base station, a sector, a cell or an antenna in a mobile network, which is not specifically limited in this embodiment of the present invention.

S102b. Determine at least one characteristic UE under the preset network node that can be used to reversely monitor the preset network node according to the user information under the preset network node within the one sampling time period.

Wherein, the characteristic UE satisfies a preset condition, and the preset condition includes:

In each of the 1 sampling time periods, the ratio is not less than a first preset value; and,

In the sampling time period in which there are not less than P sampling time periods in the I sampling time period, the maximum allowable signal fluctuation range of the UE is not greater than the second preset value, 1≤P≤I, and P is a positive integer.

Exemplarily, assuming that the preset network node is node Z, the user information under the preset network node within the one sampling time period may be specifically shown in Table 2:

Table II

Wherein, the ratio of the number of MRs reported by the UE at the preset network node to the number of MRs reported by the UE within the sampling period can be represented by formula (1) as follows:

MR(id%)=MR(id)/MR(all); formula (1)

MR(id%) represents a proportional value; MR(id) represents the number of MRs reported by the UE at the preset network node; MR(all) represents the number of all MRs reported by the UE within the sampling period.

Furthermore, the maximum permissible signal fluctuation range of the UE in each sampling period can be calculated according to formula (2), and the results are shown in Table III.

Formula (2)

Among them, UserSignel(id) represents the maximum allowable signal fluctuation range of the UE in each sampling period; Signel(i) represents the signal strength of one of the MRs reported by the UE in the sampling period; Signel(avg) represents the The average value of signal strengths of all MRs reported by the UE within the sampling period, and n represents the number of all MRs reported by the UE within the sampling period.

It should be noted that n here has the same meaning as MR(all) in the above formula (1), in order to make formula (2) simple, replace MR in formula (1) with n in formula (2) (all), hereby explain.

Table three

According to Table 3, at least one characteristic UE under the preset network node that can be used to reversely monitor the preset network node can be determined. Among them, the characteristic UE meets the preset conditions:

In each sampling time period of the I sampling time period, the ratio is not less than a first preset value; and, there are sampling time periods not less than P sampling time periods in the I sampling time period , the maximum allowable signal fluctuation range of the UE is not greater than the second preset value.

For example, the UE whose user identity is A satisfies that in each sampling time period of the 1 sampling time period, the ratio is not less than a first preset value; and, in the 1 sampling time period, the ratio is not less than In the sampling time period of the P sampling time periods, if the maximum allowable signal fluctuation range of the UE is not greater than a second preset value, then the UE whose user identifier is A is determined to be the characteristic UE.

It should be noted that in the process of monitoring the signal stability of the mobile network, the UE that meets the above preset conditions is first determined as the characteristic UE because: as a characteristic user of the monitoring network node, it needs to have a high degree of network cleanliness and signal stability sex.

It should be noted that the above preset conditions may also include other conditions, such as: the UE communicates with the preset network node for d consecutive sampling time periods; and/or, the number of communication nodes used by the UE is less than s, etc., the present invention The embodiment does not specifically limit this.

Specifically, in step S103 of the embodiment of the present invention:

According to the signal strength of the network where each characteristic UE in the at least one characteristic UE is located, and the signal strength of the network where the UE is located in a previous sampling period of the sampling period, calculate the The stability of the preset network node may specifically include:

According to the signal strength of the network where each characteristic UE in the at least one characteristic UE is located, and the signal strength of the network where the UE is located in the previous sampling period of the sampling period, combined with the following formula (3), the calculation of each The stability of the preset network node within a sampling time period.

Formula (3)

Wherein, UserGroupSignel(id) represents the stability of the preset network node in each sampling time period; User(i)Signel(id)now represents the signal strength of the UE under the preset network node in the sampling time period The indicator; User(i)Signel(id)old indicates the signal strength indicator of the UE under the preset network node in the previous sampling period of the sampling period.

It should be noted that the signal strength index of the UE may specifically be an average value of signal strength, or a fluctuation value of signal strength, etc., which is not specifically limited in this embodiment of the present invention.

Exemplarily, assuming that the preset network node is node Z, the node stability list may be as shown in Table 4.

Table four

Sampling period node stability June 15, 2015, 8:00-18:00 A1 June 16, 2015, 8:00-18:00 A2 June 17, 2015, 8:00-18:00 A3 June 18, 2015, 8:00-18:00 A4 … … 8:00-18:00, June 30, 2015 xx

Specifically, in step S104 of the embodiment of the present invention:

As shown in Figure 3, according to the stability of the preset network node in each sampling time period, it is judged whether the signal of the network where the preset network node is located in each sampling time period is stable, specifically Can include:

S104a. According to the stability of the preset network node in each sampling time period, calculate the stability of the preset network node in each sampling time period and the preset network node in the case of historical stability The absolute difference of the mean stability of .

S104b. If the absolute difference is not greater than a third preset value, determine that the signal of the network where the preset network node is located within each sampling period is stable.

S104c. If the absolute difference is greater than the third preset value, determine that the signal of the network where the preset network node is located in each sampling time period is unstable.

Wherein, the absolute difference in step S104a can be characterized by formula (4) as follows:

Formula (4)

Represents the absolute difference, UserGroupSignel (id) represents the stability of the preset network node in each sampling time period, UserGroupSignel _i (id) represents the stability of the preset network node in one of the sampling time periods under historical stability degree, and m represents the number of sampling time periods under historical stability.

It should be noted that, in the embodiment of the present invention, the historical stability situation specifically refers to the sampling time period in which the signal of the network where the preset network node is located is stable in the sampling time period before the sampling time period.

Exemplarily, suppose the third preset value is According to Table 4, the steps for determining whether the signal of the network where the preset network node is located within the corresponding sampling time period are stable are as follows:

S1: Assuming that the initial stability of the preset network node is A1, it can also be said that assuming that the initial stability of the preset network node is the same as the node stability of the first sampling period, according to formula (4), it can be obtained, The absolute difference corresponding to the sampling time period "June 15, 2015 8:00-18:00" is:

suppose Then it can be determined that the signal of the network where the preset network node is located within the sampling time period "June 15, 2015 8:00-18:00" is stable, and the results are shown in Table 5:

Table five

Sampling period node stability Is it stable June 15, 2015, 8:00-18:00 A1 Yes June 16, 2015, 8:00-18:00 A2 June 17, 2015, 8:00-18:00 A3 June 18, 2015, 8:00-18:00 A4 … … 8:00-18:00, June 30, 2015 xx

It should be noted that, usually, the signal of the network where the network node is located is stable in the first sampling time period by default, so the results shown in Table 5 can be obtained directly.

S2: According to formula (4), the absolute difference corresponding to the sampling time period "8:00-18:00, June 16, 2015" is:

suppose Then it can be determined that the signal of the network where the preset network node is located within the sampling time period "8:00-18:00, June 16, 2015" is stable, and the results are shown in Table 6:

Table six

Sampling period node stability Is it stable June 15, 2015, 8:00-18:00 A1 Yes

June 16, 2015, 8:00-18:00 A2 Yes June 17, 2015, 8:00-18:00 A3 June 18, 2015, 8:00-18:00 A4 … … 8:00-18:00, June 30, 2015 xx

S3: According to the formula (4), the absolute difference corresponding to the sampling period "June 17, 2015 8:00-18:00" is:

suppose Then it can be determined that the signal of the network where the preset network node is located within the sampling time period "June 17, 2015 8:00-18:00" is unstable, and the results are shown in Table 7:

Table seven

Sampling period node stability Is it stable June 15, 2015, 8:00-18:00 A1 Yes June 16, 2015, 8:00-18:00 A2 Yes June 17, 2015, 8:00-18:00 A3 no June 18, 2015, 8:00-18:00 A4 … … 8:00-18:00, June 30, 2015 xx

S4: According to formula (4), the absolute difference corresponding to the sampling period "June 18, 2015 8:00-18:00" is:

suppose Then it can be determined that the signal of the network where the preset network node is located within the sampling period "June 18, 2015 8:00-18:00" is stable, and the results are shown in Table 8:

table eight

Sampling period node stability Is it stable June 15, 2015, 8:00-18:00 A1 Yes

June 16, 2015, 8:00-18:00 A2 Yes June 17, 2015, 8:00-18:00 A3 no June 18, 2015, 8:00-18:00 A4 Yes … … 8:00-18:00, June 30, 2015 xx

By analogy, it can be determined whether the signal of the network where the preset network node is located in each sampling period is stable or not.

It should be noted that, in the embodiment of the present invention, when calculating , is obtained by calculating the absolute difference between the stability of the preset network node in each sampling time period and the mean value of the stability of the preset network node in the case of historical stability. As mentioned above, historical stability The situation specifically refers to the sampling time period in which the signal of the network where the preset network node is located is stable in the sampling time period before the sampling time period. That is to say, if the signal of the network where the preset network node is located in a certain sampling time period before the sampling time period is unstable, it is usually not counted. For example, in step S4, when calculating the sampling time period "June 2015 The absolute difference corresponding to the absolute difference between 8:00-18:00 on June 18, 2015 does not take into account the node stability of the sampling period "8:00-18:00 on June 17, 2015". The reason for this is mainly because if in the process of determining whether the signal of the network where the preset network node is located in each sampling time period is stable, the node stability value of the sampling time period where the signal is unstable may be added. It affects the judgment of whether the signal of the network where the preset network node is located is stable within the current sampling time period.

An embodiment of the present invention provides a method for monitoring signal stability in a mobile network, including: acquiring and storing all MRs reported by all UEs within a preset network range collected within one sampling time period, wherein the MRs in all UEs are Each MR reported by each UE includes the reporting time of the MR, the network node identifier and signal strength of the network where the UE is located, and the user identifier of the UE, I≥2, and I is a positive integer; all MRs of the preset network node, determine at least one characteristic UE under the preset network node that can be used to reversely monitor the preset network node; The signal strength of the network where each characteristic UE is located in the UE, and the signal strength of the network where the UE is located in the previous sampling period of the sampling period, and calculating the stability of the preset network node in each sampling period degree, wherein, the signal strength of the network where the UE is located in the previous sampling period of the first sampling period is 0; according to the stability of the preset network node in each sampling period, it is judged that each Whether the signal of the network where the preset network node is located is stable within a sampling time period. Based on the monitoring method for the stability of the mobile network signal provided by the embodiment of the present invention, it can be judged whether the signal of the network where the preset network node is located within the sampling period is stable, that is, a method for monitoring the stability of the mobile network signal is provided, so that Effectively and timely discover the fluctuation of the mobile network signal, so that the alarm can be reported in time when the network signal fluctuates greatly, so that the network maintenance personnel can deal with it.

Embodiment two,

An embodiment of the present invention provides a monitoring device 40 for mobile network signal stability. As shown in FIG.

The obtaining unit 401 is configured to obtain all MRs reported by all UEs within a preset network range collected within one sampling time period, wherein each MR reported by each of the all UEs includes the MR The reporting time of the UE, the network node identifier and signal strength of the network where the UE is located, and the user identifier of the UE, I≥2, where I is a positive integer.

The storage unit 402 is configured to store all MRs reported by all UEs within the preset network range collected within the one sampling time period.

The determining unit 403 is configured to determine at least one characteristic UE under the preset network node that can be used to reverse monitor the preset network node according to all MRs reported by the UEs.

The calculation unit 404 is configured to, in each sampling time period of the one sampling time period, according to the signal strength of the network where each characteristic UE in the at least one characteristic UE is located, and the signal strength of the network in the sampling time period The signal strength of the network where the UE is located in the previous sampling time period, and calculate the stability of the preset network node in each sampling time period, wherein the UE in the previous sampling time period of the first sampling time period The signal strength of the network you are on is 0.

The judging unit 405 is configured to judge whether the signal of the network where the preset network node is located in each sampling time period is stable according to the stability of the preset network node in each sampling time period.

Further, the determining unit 403 is specifically configured to:

According to all the MRs reported by all the UEs, obtain the user information under the preset network node within the one sampling time period, the user information includes the sampling time period and the user information under the preset network node within the sampling time period The user identifier of the UE, the number of MRs reported by the UE at the preset network node, and the number of MRs reported by the UE at the preset network node account for the total number of MRs reported by the UE within the sampling period Proportion.

According to the user information under the preset network node within the one sampling time period, determine at least one characteristic UE under the preset network node that can be used to reversely monitor the preset network node, wherein the characteristic UE satisfies preset conditions, the preset conditions include:

In each of the 1 sampling time periods, the ratio is not less than a first preset value; and,

In the sampling time period in which there are not less than P sampling time periods in the I sampling time period, the maximum allowable signal fluctuation range of the UE is not greater than the second preset value, 1≤P≤I, and P is a positive integer.

Further, the maximum allowable signal fluctuation range of the UE in each sampling period is obtained through the following first preset formula:

Among them, UserSignel(id) represents the maximum allowable signal fluctuation range of the UE in each sampling period; Signel(i) represents the signal strength of one of the MRs reported by the UE in the sampling period; Signel(avg) represents the The average value of signal strengths of all MRs reported by the UE within the sampling period, and n represents the number of all MRs reported by the UE within the sampling period.

Further, the judging unit 405 is specifically used for:

According to the stability of the preset network node in each sampling time period, calculate the stability of the preset network node in each sampling time period and the stability of the preset network node in the case of historical stability The absolute difference between the degree means.

If the absolute difference is not greater than the third preset value, it is determined that the signal of the network where the preset network node is located in each sampling time period is stable.

If the absolute difference is greater than the third preset value, it is determined that the signal of the network where the preset network node is located in each sampling period is unstable.

Further, the calculation unit 404 is specifically used for:

According to the signal strength of the network where each characteristic UE of the at least one characteristic UE is located, and the signal strength of the network where the UE is located in the previous sampling period of the sampling period, combined with a second preset formula, the calculation of each The stability of the preset network node within a sampling time period, the second preset formula includes:

Wherein, UserGroupSignel(id) represents the stability of the preset network node in each sampling time period; User(i)Signel(id)now represents the signal strength of the UE under the preset network node in the sampling time period The indicator; User(i)Signel(id)old indicates the signal strength indicator of the UE under the preset network node in the previous sampling period of the sampling period.

Specifically, the method for monitoring mobile network signals by using the mobile network signal stability monitoring device 40 provided by the embodiment of the present invention can refer to the description of the first embodiment, and the embodiment of the present invention will not be repeated here.

Based on the monitoring method for the stability of the mobile network signal provided by the embodiment of the present invention, it can be judged whether the signal of the network where the preset network node is located within the sampling period is stable, that is, a method for monitoring the stability of the mobile network signal is provided, so that Effectively and timely discover the fluctuation of the mobile network signal, so that the alarm can be reported in time when the network signal fluctuates greatly, so that the network maintenance personnel can deal with it.

Those skilled in the art can clearly understand that for the convenience and brevity of the description, the above-described device is only illustrated by dividing the above-mentioned functional modules. In practical applications, the above-mentioned functions can be allocated by different Completion of functional modules means that the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. For the specific working processes of the above-described systems, devices, and units, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not repeated here.

In the several embodiments provided in this application, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be Incorporation may either be integrated into another system, or some features may be omitted, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

If the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , including several instructions to make a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program codes such as U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk. .

The above is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Anyone skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present invention. Should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be determined by the protection scope of the claims.

Claims (8)

1. A monitoring method for mobile network signal stability, characterized in that the method comprises: Acquiring and storing all measurement reports MR reported by all user equipment UEs within the preset network range collected within one sampling time period, wherein each MR reported by each of the UEs includes the report of the MR Time, the network node identifier and signal strength of the network where the UE is located, and the user identifier of the UE, I≥2, where I is a positive integer; According to all MRs reported by all UEs, determine at least one characteristic UE under the preset network node that can be used to reversely monitor the preset network node; In each sampling time period within the one sampling time period, according to the signal strength of the network where each characteristic UE in the at least one characteristic UE is located, and the UE in the previous sampling time period of the sampling time period The signal strength of the network where the UE is located, calculating the stability of the preset network node in each sampling time period, wherein the signal strength of the network where the UE is located in the first sampling time period is 0 in the previous sampling time period; According to the stability of the preset network node in each sampling time period, determine whether the signal of the network where the preset network node is located in each sampling time period is stable; Wherein, the determining at least one characteristic UE under the preset network node that can be used to reverse monitor the preset network node according to all the MRs reported by the UEs includes: According to all the MRs reported by all the UEs, obtain the user information under the preset network node within the one sampling time period, the user information includes the sampling time period and the user information under the preset network node within the sampling time period The user identifier of the UE, the number of MRs reported by the UE at the preset network node, and the number of MRs reported by the UE at the preset network node account for the total number of MRs reported by the UE within the sampling period Proportion; According to the user information under the preset network node within the one sampling time period, determine at least one characteristic UE under the preset network node that can be used to reversely monitor the preset network node, wherein the characteristic UE satisfies preset conditions, the preset conditions include: In each of the 1 sampling time periods, the ratio is not less than a first preset value; and, In the sampling time period in which there are not less than P sampling time periods in the I sampling time period, the maximum allowable signal fluctuation range of the UE is not greater than the second preset value, 1≤P≤I, and P is a positive integer. 2. The method according to claim 1, wherein the maximum permissible signal fluctuation range of the UE in each sampling period is obtained by the following first preset formula: Among them, UserSignel(id) represents the maximum allowable signal fluctuation range of the UE in each sampling period; Signel(i) represents the signal strength of one of the MRs reported by the UE in the sampling period; Signel(avg) represents the The average value of signal strengths of all MRs reported by the UE within the sampling period, and n represents the number of all MRs reported by the UE within the sampling period. 3. The method according to claim 1 or 2, characterized in that, according to the stability of the preset network node in each sampling time period, it is judged that the preset network node in each sampling time period Set whether the signal of the network where the network node is located is stable, including: According to the stability of the preset network node in each sampling time period, calculate the stability of the preset network node in each sampling time period and the stability of the preset network node in the case of historical stability the absolute difference of the degree mean; If the absolute difference is not greater than a third preset value, determine that the signal of the network where the preset network node is located within each sampling period is stable; If the absolute difference is greater than the third preset value, it is determined that the signal of the network where the preset network node is located in each sampling period is unstable. 4. The method according to claim 1 or 2, wherein, according to the signal strength of the network where each characteristic UE in the at least one characteristic UE is located, and the sampling time period preceding the sampling period Calculate the signal strength of the network where the UE is located, and calculate the stability of the preset network node in each sampling period, including: According to the signal strength of the network where each characteristic UE of the at least one characteristic UE is located, and the signal strength of the network where the UE is located in the previous sampling period of the sampling period, combined with a second preset formula, the calculation of each The stability of the preset network node within a sampling time period, the second preset formula includes: Wherein, UserGroupSignel(id) represents the stability of the preset network node in each sampling time period; User(i)Signel(id)now represents the signal strength of the UE under the preset network node in the sampling time period The indicator; User(i)Signel(id)old indicates the signal strength indicator of the UE under the preset network node in the previous sampling period of the sampling period. 5. A monitoring device for mobile network signal stability, characterized in that the monitoring device comprises: an acquisition unit, a storage unit, a determination unit, a calculation unit, and a judgment unit; The obtaining unit is configured to obtain all measurement report MRs reported by all user equipment UEs within a preset network range collected within one sampling time period, wherein each of the MRs reported by each of the all UEs Including the reporting time of the MR, the network node identifier and signal strength of the network where the UE is located, and the user identifier of the UE, I≥2, and I is a positive integer; The storage unit is configured to store all MRs reported by all UEs within the preset network range collected within the one sampling time period; The determining unit is configured to determine at least one characteristic UE under the preset network node that can be used to reverse monitor the preset network node according to all MRs reported by the UEs; The calculation unit is configured to, in each sampling time period of the one sampling time period, according to the signal strength of the network where each characteristic UE in the at least one characteristic UE is located, and the preceding The signal strength of the network where the UE is located within a sampling time period, and calculating the stability of the preset network node within each sampling time period, wherein the UE is located in the previous sampling time period of the first sampling time period The signal strength of the network is 0; The judging unit is configured to judge whether the signal of the network where the preset network node is located in each sampling time period is stable according to the stability of the preset network node in each sampling time period; The determining unit is specifically configured to: acquire user information under a preset network node within the one sampling time period according to all MRs reported by all UEs, the user information including the sampling time period and the user information within the sampling time period The user identifier of the UE under the preset network node, the number of MRs reported by the UE at the preset network node, and the number of MRs reported by the UE at the preset network node account for the UE's The ratio of the number of all MRs reported within the period; According to the user information under the preset network node within the one sampling time period, determine at least one characteristic UE under the preset network node that can be used to reversely monitor the preset network node, wherein the characteristic UE satisfies preset conditions, the preset conditions include: In each of the 1 sampling time periods, the ratio is not less than a first preset value; and, In the sampling time period in which there are not less than P sampling time periods in the I sampling time period, the maximum allowable signal fluctuation range of the UE is not greater than the second preset value, 1≤P≤I, and P is a positive integer. 6. The monitoring device according to claim 5, characterized in that, the maximum permissible signal fluctuation range of the UE in each sampling period is obtained by the following first preset formula: Among them, UserSignel(id) represents the maximum allowable signal fluctuation range of the UE in each sampling period; Signel(i) represents the signal strength of one of the MRs reported by the UE in the sampling period; Signel(avg) represents the The average value of signal strengths of all MRs reported by the UE within the sampling period, and n represents the number of all MRs reported by the UE within the sampling period. 7. The monitoring device according to claim 5 or 6, wherein the judging unit is specifically used for: According to the stability of the preset network node in each sampling time period, calculate the stability of the preset network node in each sampling time period and the stability of the preset network node in the case of historical stability the absolute difference of the degree mean; If the absolute difference is not greater than a third preset value, determine that the signal of the network where the preset network node is located within each sampling period is stable; If the absolute difference is greater than the third preset value, it is determined that the signal of the network where the preset network node is located in each sampling period is unstable. 8. The monitoring device according to claim 5 or 6, wherein the computing unit is specifically used for: According to the signal strength of the network where each characteristic UE of the at least one characteristic UE is located, and the signal strength of the network where the UE is located in the previous sampling period of the sampling period, combined with a second preset formula, the calculation of each The stability of the preset network node within a sampling time period, the second preset formula includes: Wherein, UserGroupSignel(id) represents the stability of the preset network node in each sampling time period; User(i)Signel(id)now represents the signal strength of the UE under the preset network node in the sampling time period The indicator; User(i)Signel(id)old indicates the signal strength indicator of the UE under the preset network node in the previous sampling period of the sampling period.