CN113676945A - Method, system, access controller and storage medium for identifying poor quality terminal - Google Patents

Method, system, access controller and storage medium for identifying poor quality terminal Download PDF

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CN113676945A
CN113676945A CN202110922932.1A CN202110922932A CN113676945A CN 113676945 A CN113676945 A CN 113676945A CN 202110922932 A CN202110922932 A CN 202110922932A CN 113676945 A CN113676945 A CN 113676945A
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team
terminal
quality
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CN113676945B (en
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王若明
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Ruijie Networks Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/08—Reselecting an access point
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W88/00—Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
    • H04W88/02—Terminal devices
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The invention discloses a method, a system, an access controller and a storage medium for identifying a poor terminal, which are used for solving the technical problem of low accuracy rate of identifying the poor terminal in the prior art and comprise the following steps: the method comprises the steps that a plurality of first communication parameter values of a terminal to be identified are obtained in real time in the process that the terminal to be identified in a wireless network roams from one access point to another access point; calculating the communication quality difference between the terminal to be identified and the group of standard quality and excellent terminals according to a plurality of second communication parameter values and a plurality of first communication parameters of the group of standard quality and excellent terminals; the group of standard quality and excellent terminals comprise a plurality of standard quality and excellent terminals, the standard quality and excellent terminals are terminals with communication quality reaching a preset standard, and a plurality of first communication parameter values and a plurality of second communication parameter values correspond to the same plurality of communication parameters; judging whether the communication quality difference reaches a communication quality difference threshold value; and if the communication quality difference degree is greater than the communication quality difference threshold, identifying the terminal to be identified as a poor terminal.

Description

Method, system, access controller and storage medium for identifying poor quality terminal
Technical Field
The present invention relates to the field of wireless communications, and in particular, to a method, a system, an access controller, and a storage medium for identifying a poor terminal.
Background
A wireless network generally includes an Access Controller (AC), an Access Point (AP), and a terminal.
In a wireless network, when a terminal is far away from an access point of the wireless network, the terminal can detect that signals of the access point are weaker and weaker, and a corresponding access point can also detect that the signals of the terminal are gradually weakened, and when the signal strength is lower than a threshold value, normal communication cannot be performed between the terminal and the access point, and the situation of communication failure occurs.
In the prior art, in order to solve the above problem, a roaming mechanism is provided in the 802.11 working group, and a terminal with poor signal quality can re-access to an access point with good signal quality in the surrounding through the 802.11 protocol. However, the 802.11 protocol does not clearly define how a terminal belongs to a terminal with poor signal quality, so that each terminal manufacturer, an access point and an access controller manufacturer can identify a terminal with poor signal quality (i.e. a terminal with poor signal quality) according to their actual conditions.
Generally, the main identification methods of a poor terminal include: the channel state information is identified by Received Signal Strength Indication (RSSI), identified by Modulation and Coding Scheme (MCS), and judged by channel utilization. However, the RSSI is affected by the angle of the antenna, the transmission power and the error, so that the poor quality terminal cannot be identified very well; the communication of the messages in the MCS is limited, if the messages of two parties of the communication are lost, the negotiation rate may not be updated in time, and the misleading effect on the identification of the poor terminal is achieved; in addition, the channel utilization has a good judgment factor in an environment with relatively large competition, but the poor terminal cannot be effectively identified in an environment with small competition.
In view of this, how to accurately identify the poor terminal becomes a technical problem to be solved urgently.
Disclosure of Invention
The invention provides a method and a system for identifying a poor quality terminal, an access controller and a storage medium, which are used for solving the technical problem of low accuracy rate of identifying the poor quality terminal in the prior art.
In a first aspect, to solve the above technical problem, an embodiment of the present invention provides a method for identifying a poor quality terminal, which is applied to an access controller in a wireless network, where the access controller manages a plurality of access points, and a technical scheme of the method is as follows:
the method comprises the steps that a plurality of first communication parameter values of a terminal to be identified in the wireless network are obtained in real time in the process that the terminal to be identified roams from one access point to another access point;
calculating the communication quality difference between the terminal to be identified and the group of standard quality and high quality terminals according to a plurality of second communication parameter values and a plurality of first communication parameter values of the group of standard quality and high quality terminals; the group of standard quality and excellent terminals comprise a plurality of standard quality and excellent terminals, the standard quality and excellent terminals are terminals with communication quality reaching a preset standard, and a plurality of first communication parameter values and a plurality of second communication parameter values correspond to the same plurality of communication parameters;
judging whether the communication quality difference reaches a communication quality difference threshold value; and if the communication quality difference degree is greater than the communication quality difference threshold, identifying the terminal to be identified as a poor terminal.
One possible implementation manner, in which the degree of difference between the communication quality of the terminal to be identified and the communication quality of the group of terminals with standard quality is calculated according to a plurality of second communication parameter values and a plurality of first communication parameter values of the group of terminals with standard quality, includes:
taking the group of standard quality terminals and the terminal to be identified as a team;
taking the group of standard quality terminals as one sub-team in the team, and taking the terminal to be identified as the other sub-team in the team;
and calculating the splitting degree between two sub-teams in the team by using a fracture zone strength algorithm based on the plurality of second communication parameter values and the plurality of first communication parameter values to obtain the communication quality difference degree.
One possible implementation manner, calculating the splitting degree between two sub-teams in the team by using a fracture zone strength algorithm to obtain the communication quality difference degree, includes:
respectively calculating the square sum of the average difference values of the two sub-teams and each communication parameter of the team to obtain the sub-communication quality difference of each sub-team;
calculating the square sum of the average difference value of each member in the team and each communication parameter of the team to obtain the communication quality difference of the team;
and determining the ratio of the sum of the sub-communication quality differences of the two sub-teams to the communication quality difference of the team as the communication quality difference degree.
One possible implementation of calculating the sum of squares of the average difference values of the two sub-teams and each communication parameter of the team respectively to obtain the sub-communication quality difference of each sub-team, includes:
calculating a first average value of each communication parameter in each sub-team;
calculating a second average value for each communication parameter in the team;
calculating the square of a first difference value between a first average value and a second average value corresponding to the same communication parameter;
and performing sum operation on the product of the square of the first difference corresponding to the plurality of communication parameters and the total number of the members of the corresponding sub-team to obtain the sub-communication quality difference.
One possible implementation, calculating the sum of the squares of the average difference values of each member of the team and each communication parameter of the team, and obtaining the communication quality difference of the team, comprises:
calculating a second average value for each communication parameter in the team;
calculating the square of a second difference value between a second average value and a third value corresponding to the same communication parameter; wherein the third value is a value of a communication parameter for each member of each of the teams;
and carrying out sum operation on squares of second difference values corresponding to the plurality of communication parameters to obtain the communication quality difference of the team.
In one possible embodiment, the formula of the fracture zone strength algorithm is:
Figure BDA0003208109010000031
wherein, FaugThe value of k is 1 or 2 for the fracture zone strength;
Figure BDA0003208109010000032
is the mean of the jth communication parameter among the ith members of the kth subgroup,
Figure BDA0003208109010000041
represents the mean of the jth communication parameter in the team,
Figure BDA0003208109010000042
is the average of the jth communication parameter in the kth sub-team, g is the total number of members in the team,
Figure BDA0003208109010000043
the total number of members of the kth sub-team.
In one possible embodiment, the communication parameters include:
any combination of at least two evaluation factors in signal strength indication, modulation and coding strategy, channel utilization rate, equipment number, transmitting power, antenna gain, signal-to-noise ratio, background noise, receiving utilization rate and transmitting utilization rate.
In a second aspect, an embodiment of the present invention provides a wireless network system, including:
at least one access controller for performing the method of the first aspect;
at least one access point governed by the access controller;
and the terminal to be identified moves in the wireless network formed by all the access points.
In a third aspect, an embodiment of the present invention further provides an access controller, where the access controller governs at least one access point, and the access controller includes:
the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring a plurality of first communication parameter values of a terminal to be identified in the wireless network in real time in the process that the terminal to be identified roams from one access point to another access point;
the calculating unit is used for calculating the communication quality difference between the terminal to be identified and the group of standard quality and high-quality terminals according to a plurality of second communication parameter values and a plurality of first communication parameter values of the group of standard quality and high-quality terminals; the group of standard quality and excellent terminals comprise a plurality of standard quality and excellent terminals, the standard quality and excellent terminals are terminals of which the communication quality reaches a preset standard, and a plurality of first communication parameter values and a plurality of second communication parameter values correspond to the same plurality of communication parameters;
the identification unit is used for judging whether the communication quality difference reaches a communication quality difference threshold value; and if the communication quality difference degree is greater than the communication quality difference threshold, identifying the terminal to be identified as a poor terminal.
In one possible embodiment, the computing unit is further configured to:
taking the group of standard quality terminals and the terminal to be identified as a team;
taking the group of standard quality terminals as one sub-team in the team, and taking the terminal to be identified as the other sub-team in the team;
and calculating the splitting degree between two sub-teams in the team by using a fracture zone strength algorithm based on the plurality of second communication parameter values and the plurality of first communication parameter values to obtain the communication quality difference degree.
In one possible embodiment, the computing unit is further configured to:
respectively calculating the square sum of the average difference values of the two sub-teams and each communication parameter of the team to obtain the sub-communication quality difference of each sub-team;
calculating the square sum of the average difference value of each member in the team and each communication parameter of the team to obtain the communication quality difference of the team;
and determining the ratio of the sum of the sub-communication quality differences of the two sub-teams to the communication quality difference of the team as the communication quality difference degree.
In one possible embodiment, the computing unit is further configured to:
calculating a first average value of each communication parameter in each sub-team;
calculating a second average value for each communication parameter in the team;
calculating the square of a first difference value between a first average value and a second average value corresponding to the same communication parameter;
and performing sum operation on the product of the square of the first difference corresponding to the plurality of communication parameters and the total number of the members of the corresponding sub-team to obtain the sub-communication quality difference.
In one possible embodiment, the computing unit is further configured to:
calculating a second average value for each communication parameter in the team;
calculating the square of a second difference value between a second average value and a third value corresponding to the same communication parameter; wherein the third value is a value of a communication parameter for each member of each of the teams;
and carrying out sum operation on squares of second difference values corresponding to the plurality of communication parameters to obtain the communication quality difference of the team.
In one possible embodiment, the formula of the fracture zone strength algorithm is:
Figure BDA0003208109010000061
wherein, FaugThe value of k is 1 or 2 for the fracture zone strength;
Figure BDA0003208109010000062
is the mean of the jth communication parameter among the ith members of the kth subgroup,
Figure BDA0003208109010000063
represents the mean of the jth communication parameter in the team,
Figure BDA0003208109010000064
is the average of the jth communication parameter in the kth sub-team, g is the total number of members in the team,
Figure BDA0003208109010000065
the total number of members of the kth sub-team.
In one possible embodiment, the communication parameters include:
any combination of at least two evaluation factors in signal strength indication, modulation and coding strategy, channel utilization rate, equipment number, transmitting power, antenna gain, signal-to-noise ratio, background noise, receiving utilization rate and transmitting utilization rate.
In a fourth aspect, an embodiment of the present invention further provides an access controller, including:
at least one processor, and
a memory coupled to the at least one processor;
wherein the memory stores instructions executable by the at least one processor, and the at least one processor performs the method according to the first aspect by executing the instructions stored by the memory.
In a fifth aspect, an embodiment of the present invention further provides a readable storage medium, including:
a memory for storing a plurality of data to be transmitted,
the memory is for storing instructions that, when executed by the processor, cause an apparatus comprising the readable storage medium to perform the method as described in the first aspect above.
Through the technical solutions in one or more of the above embodiments of the present invention, the embodiments of the present invention have at least the following technical effects:
in the embodiment provided by the invention, in the process that the terminal to be identified in the wireless network roams from one access point to another access point, the communication quality difference between the terminal to be identified and a group of standard quality-good terminals is calculated by introducing a plurality of communication parameters influencing the communication quality, and whether the terminal to be identified is a quality-poor terminal is identified by combining a communication quality difference threshold value.
Drawings
Fig. 1 is a flowchart of a method for identifying a poor terminal according to an embodiment of the present invention;
fig. 2 is a schematic diagram illustrating a terminal to be identified roaming from one access point to another access point in a wireless network according to an embodiment of the present invention;
fig. 3 is a schematic view of roaming quality of a terminal to be identified according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a wireless network system according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an access controller according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a method, a system, an access controller and a storage medium for identifying a poor terminal, which are used for solving the technical problem of low accuracy rate of identifying the poor terminal in the prior art.
In order to better understand the technical solutions of the present invention, the following detailed descriptions of the technical solutions of the present invention are provided with the accompanying drawings and the specific embodiments, and it should be understood that the specific features in the embodiments and the examples of the present invention are the detailed descriptions of the technical solutions of the present invention, and are not limitations of the technical solutions of the present invention, and the technical features in the embodiments and the examples of the present invention may be combined with each other without conflict.
Referring to fig. 1, an embodiment of the present invention provides a method for identifying a poor terminal, which is applied to an access controller in a wireless network, where the access controller manages a plurality of access points, and a processing procedure of the method is as follows.
Step 101: the method comprises the steps that a plurality of first communication parameter values of a terminal to be identified are obtained in real time in the process that the terminal to be identified in a wireless network roams from one access point to another access point.
The terminal to be identified can be any terminal in a wireless network, and the terminal is a user workstation such as a mobile phone, a portable computer, a tablet computer, an intelligent device and the like.
Step 102: calculating the communication quality difference between the terminal to be identified and the group of standard quality and excellent terminals according to a plurality of second communication parameter values and a plurality of first communication parameter values of the group of standard quality and excellent terminals; the group of standard quality and excellent terminals comprise a plurality of standard quality and excellent terminals, the standard quality and excellent terminals are terminals with communication quality reaching a preset standard, and a plurality of first communication parameter values and a plurality of second communication parameter values correspond to the same plurality of communication parameters;
step 103: judging whether the communication quality difference reaches a communication quality difference threshold value; if the communication quality difference reaches the threshold value of the communication quality difference; and identifying the terminal to be identified as a poor terminal.
In the embodiment provided by the invention, because the terminal to be identified has a plurality of first communication parameter values corresponding to a plurality of communication parameters, the communication quality of the standard quality terminal is also determined by a plurality of second communication parameter values corresponding to a plurality of communication parameters, and correspondingly, the preset standard can be a comprehensive value obtained by comprehensively quantizing a plurality of communication parameters, or a plurality of standard threshold values corresponding to a plurality of communication parameters.
If the plurality of communication parameters are modulation and coding strategies, channel utilization rates and equipment numbers, the preset standard can be a comprehensive value corresponding to the four communication parameters, and a terminal with a value reaching the comprehensive value obtained by performing weighting calculation after normalization processing on the corresponding plurality of second communication parameter values is determined as a standard quality terminal; if the preset standard is the standard threshold corresponding to each of the four communication parameters, only the terminals whose second communication parameter values corresponding to the four communication parameters all reach the corresponding standard threshold are determined as standard quality terminals.
Fig. 2 is a schematic diagram illustrating that a terminal to be identified roams from one access point to another access point in a wireless network according to an embodiment of the present invention.
The wireless network can communicate with the outside through the internet, so that the terminal to be identified can communicate with the outside through the wireless network.
The original position of the terminal to be identified is located in the signal coverage range of the access point 1, when the terminal to be identified moves from the original position to the target position (located in the signal coverage range of the access point 2), which is the process that the terminal to be identified roams from the access point 1 to the access point 2, in the process, the signal strength received by the terminal to be identified is firstly weakened and then strengthened, the corresponding access point 1 detects that the signal strength of the terminal to be identified is gradually weakened until disappearing, after the access point 2 detects the terminal to be identified, the signal strength of the terminal to be identified is gradually strengthened, the process that the access point 1 or the access point 2 detects the change of the signal strength of the terminal to be identified is the roaming process of the terminal to be identified, the access point 1 and the access point 2 report the signal strength of the terminal to be identified in the above processes to the access controller, so that the access controller can determine the roaming process of the terminal to be identified, and performs correlation processing. Referring to fig. 3, the roaming quality of the terminal to be identified may be represented by fig. 3, where fig. 3 is a schematic diagram of the roaming quality of the terminal to be identified according to the embodiment of the present invention.
In the process of moving the terminal to be identified from the signal coverage of the access point 1 to the signal coverage of the access point 2, theoretically, the signal quality is the worst at the boundary position between the signal coverage of the access point 1 and the signal coverage of the access point 2, but the signal strength decreases as the distance between the terminal and the access point 1 or the access point 2 increases, so that in practical application, the quality difference stage moves forward, and correspondingly, the roaming completion moves forward. As shown in fig. 3, a poor quality section with poor signal quality exists in a region near the boundary between the coverage areas of the access points 1 and 2, and the poor quality section and a part of the continuous region near the poor quality section in the coverage area of the access point 1 are extracted and classified into a good quality section with good signal quality, a buffer with general signal quality, and a poor quality section according to the level of signal quality.
When the terminal to be identified is located in the quality and excellent interval, the terminal to be identified is determined as a quality and excellent terminal; when the terminal to be identified is located in the buffer area, the terminal to be identified is determined as a potential problem terminal; and when the terminal to be identified is positioned in the quality difference interval, the terminal to be identified is determined as the quality difference terminal.
It should be understood that only the quality difference interval of the access point 1 near the boundary position between the access point 1 and the access point 2 is shown in fig. 3, and a similar quality difference interval actually exists in the access point 2, which is not shown. In addition, fig. 3 only determines the terminal type to which the terminal to be identified belongs according to the signal quality interval in which the signal quality of the terminal to be identified is located, however, in practical application, the communication quality of the terminal to be identified is not only affected by the signal quality of the terminal to be identified, but also affected by other factors such as the number of surrounding terminals, environment and the like, so that the terminal to be identified can be classified into a terminal with good quality by performing normal communication with the access point even though the terminal to be identified is determined as a terminal with potential problems when the terminal to be identified is in the buffer area shown in fig. 3, but the terminal to be identified should be classified into a terminal with poor quality if the terminal cannot perform normal communication with the access point.
In the process that the terminal to be identified roams from the access point 1 to the access point 2, the communication quality difference between the terminal to be identified and a group of standard quality terminals can be calculated in real time by acquiring a plurality of first communication parameter values of the terminal to be identified in real time and according to a plurality of second communication parameter values and the plurality of first communication parameter values of the group of standard quality terminals, and then whether the terminal to be identified is a poor terminal or not is identified by judging whether the communication quality difference reaches a poor communication quality threshold or not. If the communication quality difference degree is larger than the communication quality difference threshold, determining that the terminal to be identified is a poor terminal; and if the communication quality difference degree is less than or equal to the communication quality difference threshold, determining that the terminal to be identified is a high-quality terminal.
A plurality of communication parameters, comprising:
any combination of at least two evaluation factors in signal strength indication, modulation and coding strategy, channel utilization rate, equipment number, transmitting power, antenna gain, signal-to-noise ratio, background noise, receiving utilization rate and transmitting utilization rate.
For example, when the plurality of communication parameters include a signal strength indicator, a modulation and coding strategy, a channel utilization rate, and a device number, the plurality of first communication parameter values of the terminal to be identified are the obtained signal strength indicator, the modulation and coding strategy, the channel utilization rate, and the device number (which is 1) of the terminal to be identified, and the second communication parameters of the group of standard quality-superior terminals are the signal strength indicator, the modulation and coding strategy, the channel utilization rate, and the device number (which is the total number of the standard quality-superior terminals in the group of standard quality-superior terminals) of each standard quality-superior terminal.
For another example, the plurality of communication parameters may further include a signal strength indication, a modulation and coding strategy, a channel utilization rate, a device number, transmission power, and an antenna gain, where the plurality of first communication parameter values of the terminal to be identified are the obtained signal strength indication, the modulation and coding strategy, the channel utilization rate, the device number, the transmission power, and the antenna gain of the terminal to be identified, and the second communication parameter of the group of standard quality terminals is the signal strength indication, the modulation and coding strategy, the channel utilization rate, the device number, the transmission power, and the antenna gain of each standard quality terminal.
One possible implementation manner is that, according to a plurality of second communication parameter values and a plurality of first communication parameter values of a set of standard quality and high quality terminals, the communication quality difference degree between the terminal to be identified and the set of standard quality and high quality terminals is calculated, and the following manner is implemented:
taking a group of standard quality terminals and terminals to be identified as a team; taking a group of standard quality terminals as one sub-team in the team, and taking a terminal to be identified as the other sub-team in the team; and calculating the splitting degree between two sub-teams in the team by using a fracture zone strength algorithm based on the plurality of second communication parameter values and the plurality of first communication parameter values to obtain the communication quality difference degree.
For example, a group of standard quality terminals includes the standard quality terminal 1 to the standard quality terminal 10, and the standard quality terminal 1 to the standard quality terminal 10 and the terminal to be identified are taken as a team, and each terminal in the team is called a member. Meanwhile, the standard quality terminal 1-the standard quality terminal 10 are used as one sub-team of the team, and the terminal to be identified is used as the other sub-team of the team. I.e. this team comprises 2 sub-teams. If four communication parameters, namely signal strength indication, modulation and coding strategy, channel utilization rate and equipment number, are used, a plurality of second communication parameter values (namely, the signal strength indication of each standard quality terminal, the modulation and coding strategy of each standard quality terminal, the channel utilization rate of each standard quality terminal and the equipment number are 10) based on a group of standard quality terminals and a plurality of first communication parameter values (namely, the signal strength indication of the terminal to be identified, the modulation and coding strategy of the terminal to be identified, the channel utilization rate of the terminal to be identified and the equipment number are 1) of the terminal to be identified are used, the splitting degree between two sub-teams in the team is calculated by a fracture zone strength algorithm, and the communication quality difference degree is obtained.
One possible implementation manner, which uses the fracture zone strength algorithm to calculate the splitting degree between two teams in the team to obtain the communication quality difference degree, can be implemented as follows:
respectively calculating the square sum of the average difference value of each communication parameter of the two sub-teams and the team to obtain the sub-communication quality difference of each sub-team; calculating the square sum of the average difference value of each member in the team and each communication parameter of the team to obtain the communication quality difference of the team; and determining the ratio of the sum of the sub-communication quality differences of the two sub-teams to the communication quality difference of the team as the communication quality difference degree.
For example, the sub-team 1 is a group of standard quality terminals (including standard quality terminal 1-standard quality terminal 10), the sub-team 2 is a terminal to be identified, and the sub-team 1 and the sub-team 2 form a team and use four communication parameters, i.e., signal strength indication, modulation and coding strategy, channel utilization, and device number.
Calculating the square of the average difference value of the signal intensity indication of the whole team aiming at the sub-team 1 and the sub-team 2 respectively, calculating the square of the modulation and coding strategy of the whole team aiming at the sub-team 1 and the sub-team 2 respectively, calculating the square of the channel utilization ratio of the whole team aiming at the sub-team 1 and the sub-team 2 respectively, calculating the square of the number of devices of the whole team aiming at the sub-team 1 and the sub-team 2 respectively, and taking the sum of all squares of each sub-team corresponding to the four parameters as the sub-communication quality difference of the corresponding sub-team.
Meanwhile, for each member in the team, the square of the average difference value of each member and each communication parameter of the team is calculated, for example, if the communication parameter is used as the signal strength indication and the member is the terminal to be identified, assuming that the average value of the signal strength indication of the whole team is M and the signal strength of the terminal to be identified is N, the square of the average difference value of each communication parameter of the terminal to be identified and the team is (N-M)2. The calculation method of the squares of the average difference values corresponding to other members is similar to that of the calculation method, and details are not repeated one by one, and the squares of the average difference values corresponding to all members in the team are summed to obtain the communication quality difference of the team. And determining the ratio of the sum of the sub-communication quality differences of the two sub-teams to the communication quality difference of the team as the communication quality difference degree.
One possible implementation way, which calculates the sum of squares of the average difference values of each communication parameter of two sub-teams and a team respectively, and obtains the sub-communication quality difference of each sub-team, includes:
calculating a first average value of each communication parameter in each sub-team; calculating a second average value of each communication parameter in the team; calculating the square of a first difference value between a first average value and a second average value corresponding to the same communication parameter; and carrying out sum operation on the product of the square of the first difference corresponding to the plurality of communication parameters and the total number of the members of the corresponding sub-team to obtain the sub-communication quality difference.
For example, the sub-team 1 is a group of standard quality and excellent terminals (including standard quality and excellent terminal 1 to standard quality and excellent terminal 10), the sub-team 2 is a terminal to be identified, the sub-team 1 and the sub-team 2 form a team, the team uses four communication parameters, namely, signal strength indication, modulation and coding strategy, channel utilization rate and equipment number, the four communication parameters are sequentially recorded as A, B, C, D, and four second communication parameter values of the four communication parameters corresponding to the corresponding standard quality and excellent terminal 1 to standard quality and excellent terminal 10 are recorded as (a)1，B1，C1，D1)，……，(A10，B10，C10，D10) And the terminal to be identified corresponds to the 4 th communication parametersA communication parameter value is recorded as (A)11，B11，C11，D11)。
Average of signal strength indications in subgroup 1 (denoted as A)a1) Comprises the following steps: a. thea1＝(A1+A2+…+A10) And 10, calculating the average value of the rest communication parameters in the team member 1 in a similar way, and the description is omitted. The average value of each communication parameter in the sub-team 1 is collectively called as a first average value, and the first average values corresponding to the other three communication parameters are sequentially marked as Ba1、Ca1、Da1＝10。
Since there is only one member (i.e., the terminal to be identified) in the sub-team 2, the average value of each communication parameter is the value of each communication parameter of the terminal to be identified, and the average value of each communication parameter of the terminal to be identified is collectively referred to as the first average value.
Calculate an average value for each communication parameter in the entire team (i.e., team 1 and team 2), such as the team's signal strength indicator (denoted A)a) Comprises the following steps: a. thea＝(A1+A2+…+A10+A11) And 11, calculating the average values of other communication parameters in the team in the same way, collectively referring the average values as the second average values, and sequentially recording the second average values corresponding to the other three communication parameters as Ba、Ca、Da＝11。
For the first average value and the second average value respectively corresponding to the four communication parameters, the sub-communication quality difference can be calculated:
the sub-communication quality difference of the sub-team 1 is noted as Δ1，Δ1＝10[(Aa1-Aa)2+(Ba1-Ba)2+(Ca1-Ca)2+(10-11)2]。
The sub-communication quality difference of the sub-team 2 is noted as Δ2，Δ2＝(Aa2-Aa)2+(Ba2-Ba)2+(Ca2-Ca)2+(1-11)2。
One possible implementation way, calculating the sum of the squares of the average difference value of each member in the team and each communication parameter of the team to obtain the communication quality difference of the team, can be realized by the following ways:
calculating a second average value of each communication parameter in the team; calculating the square of a second difference value between a second average value and a third value corresponding to the same communication parameter; wherein the third value is a value of a communication parameter for each member of each of the teams; and carrying out sum operation on squares of second difference values corresponding to the plurality of communication parameters to obtain the communication quality difference of the team.
For example, the sub-team 1 is a group of standard quality and excellent terminals (including standard quality and excellent terminal 1 to standard quality and excellent terminal 10), the sub-team 2 is a terminal to be identified, the sub-team 1 and the sub-team 2 form a team, the team uses four communication parameters, namely, signal strength indication, modulation and coding strategy, channel utilization rate and equipment number, the four communication parameters are sequentially recorded as A, B, C, D, and four second communication parameter values of the four communication parameters corresponding to the corresponding standard quality and excellent terminal 1 to standard quality and excellent terminal 10 are recorded as (a)1，B1，C1，D1)，……，(A10，B10，C10，D10) And recording 4 first communication parameter values corresponding to the four communication parameters of the terminal to be identified as (A)11，B11，C11，D11) And the first communication parameter value and the second communication parameter value are the third values of the corresponding members in the corresponding team.
The calculation method of the second average value of each communication parameter in the team may refer to the above embodiment, and the second average values corresponding to the four communication parameters are sequentially recorded as aa、Ba、Ca、DaTaking the communication parameter as the signal strength indicator as an example, the second difference of the signal strength indicator of the standard quality terminal 1 is denoted as ad1，Ad1＝Aa1-AaSimilarly, the second average value of each parameter of other members in the team can be calculated, and the second average values of the other three communication parameters of the standard quality terminal 1 are sequentially recorded as Bd1、Cd1、Dd1And the restThe second average values of the four parameters of the terminal adopt a similar marking mode, for example, the second average values of the four communication parameters of the standard quality terminal 2 and the terminal to be identified are sequentially recorded as: (A)d2、Bd2、Cd2、Dd2)、(Ad11、Bd11、Cd11、Dd11)。
Then, the communication quality difference of the team can be recorded as Δ, Δ ═ ad1 2+…+Ad10 2+Ad11 2+Bd1…+Bd10+Bd11+Cd1…+Cd10+Cd11+Dd1…+Dd10+Dd11。
Finally, the communication quality difference degree between the terminal and a group of standard quality terminals is calculated, namely (the sub-communication quality difference of the sub-team 1 + the sub-communication quality difference of the sub-team 2)/the communication quality difference of the team. The value range of the communication quality difference is 0-1, the closer the communication quality difference is to 1, the larger the strength of the fracture zone is, the more the terminal to be identified is separated from the standard quality terminal group, that is, the closer the terminal to be identified is to the quality poor terminal, if the judgment result shows that the fracture zone strength critical value of the quality poor terminal is 0.8, the threshold value of the communication quality difference is set to 0.8, when the communication quality difference between the terminal to be identified and a group of standard quality good terminals is greater than 0.8, the terminal to be identified is identified as the quality poor terminal, and if the communication quality difference is less than or equal to 0.8, the terminal to be identified is identified as the quality good terminal.
The calculation process of the communication quality difference between the terminal to be identified and a group of standard quality terminals can be expressed by a formula of a rupture zone strength algorithm as follows:
Figure BDA0003208109010000141
wherein, FaugThe value of k is 1 or 2 for the fracture zone strength;
Figure BDA0003208109010000142
for the ith member in the kth subgroupValue of jth communication parameter, x \u.j.Represents the mean of the jth communication parameter in the team,
Figure BDA0003208109010000143
is the average of the jth communication parameter in the kth sub-team, g is the total number of members in the team,
Figure BDA0003208109010000144
the total number of members of the kth sub-team. If the plurality of communication parameters are four communication parameters, namely signal strength indication, modulation and coding strategy, channel utilization rate and equipment number, the communication parameters can be numbered, for example, the communication parameters are numbered as 1-4 in sequence, j in formula (1) is the number of the communication parameters, a group of standard quality terminals and terminals to be identified can also be numbered, and i in formula (1) is the number of the terminal in the corresponding sub-team.
The breaking strength value is between [0, 1], the closer to 1, the stronger the breaking strength, the farther away from the near-quality-excellent interval, the closer to the quality-poor interval; the closer to 0, the weaker the breaking strength, the closer to the quality range, and the farther from the quality range.
In the embodiment provided by the invention, in the process that the terminal to be identified in the wireless network roams from one access point to another access point, the communication quality difference between the terminal to be identified and a group of standard quality-good terminals is calculated by introducing a plurality of communication parameters influencing the communication quality, and whether the terminal to be identified is a quality-poor terminal is identified by combining a communication quality difference threshold value.
Referring to fig. 4, an embodiment of the present invention provides a wireless network system, including:
at least one access controller 401 for performing the method of identifying bad terminals as described above; for a specific implementation of the method for accessing the controller, reference may be made to the description of the embodiment of the method for identifying a poor terminal, and repeated descriptions are omitted.
At least one access point 402 governed by the access controller 401;
a terminal 403 to be identified moving in the wireless network formed by all the access points 402.
Based on the same inventive concept, an embodiment of the present invention provides an access controller, where the access controller manages at least one access point, and a specific implementation manner of a method for identifying a poor quality terminal of the access controller may refer to the description of the method embodiment, and repeated details are not described again, referring to fig. 5, where the access controller includes:
an obtaining unit 501, configured to obtain, in real time, a plurality of first communication parameter values of a terminal to be identified in the wireless network when the terminal to be identified roams from one access point to another access point;
a calculating unit 502, configured to calculate, according to a plurality of second communication parameter values and a plurality of first communication parameter values of a set of standard quality and high quality terminals, a difference degree between communication qualities of the terminal to be identified and the set of standard quality and high quality terminals; the group of standard quality and excellent terminals comprise a plurality of standard quality and excellent terminals, the standard quality and excellent terminals are terminals of which the communication quality reaches a preset standard, and a plurality of first communication parameter values and a plurality of second communication parameter values correspond to the same plurality of communication parameters;
an identifying unit 503, configured to determine whether the communication quality difference reaches a communication quality difference threshold; and if the communication quality difference degree is greater than the communication quality difference threshold, identifying the terminal to be identified as a poor terminal.
In a possible implementation, the computing unit 502 is further configured to:
taking the group of standard quality terminals and the terminal to be identified as a team;
taking the group of standard quality terminals as one sub-team in the team, and taking the terminal to be identified as the other sub-team in the team;
and calculating the splitting degree between two sub-teams in the team by using a fracture zone strength algorithm based on the plurality of second communication parameter values and the plurality of first communication parameter values to obtain the communication quality difference degree.
In a possible implementation, the computing unit 502 is further configured to:
respectively calculating the square sum of the average difference values of the two sub-teams and each communication parameter of the team to obtain the sub-communication quality difference of each sub-team;
calculating the square sum of the average difference value of each member in the team and each communication parameter of the team to obtain the communication quality difference of the team;
and determining the ratio of the sum of the sub-communication quality differences of the two sub-teams to the communication quality difference of the team as the communication quality difference degree.
In a possible implementation, the computing unit 502 is further configured to:
calculating a first average value of each communication parameter in each sub-team;
calculating a second average value for each communication parameter in the team;
calculating the square of a first difference value between a first average value and a second average value corresponding to the same communication parameter;
and performing sum operation on the product of the square of the first difference corresponding to the plurality of communication parameters and the total number of the members of the corresponding sub-team to obtain the sub-communication quality difference.
In a possible implementation, the computing unit 502 is further configured to:
calculating a second average value for each communication parameter in the team;
calculating the square of a second difference value between a second average value and a third value corresponding to the same communication parameter; wherein the third value is a value of a communication parameter for each member of each of the teams;
and carrying out sum operation on squares of second difference values corresponding to the plurality of communication parameters to obtain the communication quality difference of the team.
In one possible embodiment, the formula of the fracture zone strength algorithm is:
Figure BDA0003208109010000171
wherein, FaugThe value of k is 1 or 2 for the fracture zone strength;
Figure BDA0003208109010000172
is the mean of the jth communication parameter among the ith members of the kth subgroup,
Figure BDA0003208109010000173
represents the mean of the jth communication parameter in the team,
Figure BDA0003208109010000174
is the average of the jth communication parameter in the kth sub-team, g is the total number of members in the team,
Figure BDA0003208109010000175
the total number of members of the kth sub-team.
In one possible embodiment, the communication parameters include:
any combination of at least two evaluation factors in signal strength indication, modulation and coding strategy, channel utilization rate, equipment number, transmitting power, antenna gain, signal-to-noise ratio, background noise, receiving utilization rate and transmitting utilization rate.
It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation. In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented as a software functional unit and sold or used as a stand-alone product, may be stored in a processor readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It should be noted that, the apparatus provided in the embodiment of the present invention can implement all the method steps implemented by the method embodiment and achieve the same technical effect, and detailed descriptions of the same parts and beneficial effects as the method embodiment in this embodiment are omitted here.
Based on the same inventive concept, an embodiment of the present invention provides an access controller, including: at least one processor, and
a memory coupled to the at least one processor;
wherein the memory stores instructions executable by the at least one processor, and the at least one processor performs the method of identifying a poor terminal as described above by executing the instructions stored by the memory.
Based on the same inventive concept, an embodiment of the present invention further provides a readable storage medium, including:
a memory for storing a plurality of data to be transmitted,
the memory is configured to store instructions that, when executed by the processor, cause an apparatus comprising the readable storage medium to perform the method of identifying a poor terminal as described above.
The readable storage medium may be any available medium or data storage device that can be accessed by a processor, including volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. By way of example and not limitation, nonvolatile Memory may include Read-Only Memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash Memory, Solid State Disk (SSD), magnetic Memory (e.g., floppy Disk, hard Disk, magnetic tape, Magneto-Optical Disk (MO), etc.), Optical Memory (e.g., CD, BD, DVD, HVD, etc.), and so forth. Volatile Memory can include Random Access Memory (RAM), which can act as external cache Memory. By way of example and not limitation, RAM is available in many forms, such as Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM). The storage devices of the disclosed aspects are intended to comprise, without being limited to, these and other suitable types of memory.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the invention may take the form of a computer program product embodied on one or more readable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer/processor-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These program instructions may also be stored in a readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer/processor implemented process such that the instructions which execute on the computer/processor or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (11)

1. A method for identifying a poor terminal is applied to an access controller in a wireless network, wherein the access controller manages a plurality of access points, and the method comprises the following steps:
the method comprises the steps that a plurality of first communication parameter values of a terminal to be identified in the wireless network are obtained in real time in the process that the terminal to be identified roams from one access point to another access point;
calculating the communication quality difference between the terminal to be identified and the group of standard quality and high quality terminals according to a plurality of second communication parameter values and a plurality of first communication parameter values of the group of standard quality and high quality terminals; the group of standard quality and excellent terminals comprise a plurality of standard quality and excellent terminals, the standard quality and excellent terminals are terminals of which the communication quality reaches a preset standard, and a plurality of first communication parameter values and a plurality of second communication parameter values correspond to the same plurality of communication parameters;
judging whether the communication quality difference reaches a communication quality difference threshold value; and if the communication quality difference degree is greater than the communication quality difference threshold, identifying the terminal to be identified as a poor terminal.
2. The method of claim 1, wherein calculating the degree of difference between the communication quality of the terminal to be identified and the communication quality of a group of standard quality terminals according to a plurality of second communication parameter values and a plurality of first communication parameter values of the group of standard quality terminals comprises:
taking the group of standard quality terminals and the terminal to be identified as a team;
taking the group of standard quality terminals as one sub-team in the team, and taking the terminal to be identified as the other sub-team in the team;
and calculating the splitting degree between two sub-teams in the team by using a fracture zone strength algorithm based on the plurality of second communication parameter values and the plurality of first communication parameter values to obtain the communication quality difference degree.
3. The method of claim 2, wherein calculating the degree of splitting between two teams of the team using a fracture zone strength algorithm to obtain the communication quality difference comprises:
respectively calculating the square sum of the average difference values of the two sub-teams and each communication parameter of the team to obtain the sub-communication quality difference of each sub-team;
calculating the square sum of the average difference value of each member in the team and each communication parameter of the team to obtain the communication quality difference of the team;
and determining the ratio of the sum of the sub-communication quality differences of the two sub-teams to the communication quality difference of the team as the communication quality difference degree.
4. The method of claim 3, wherein calculating a sum of squares of the average difference values of each communication parameter of the two sub-teams and the team, respectively, to obtain a sub-communication quality difference for each sub-team, comprises:
calculating a first average value of each communication parameter in each sub-team;
calculating a second average value for each communication parameter in the team;
calculating the square of a first difference value between a first average value and a second average value corresponding to the same communication parameter;
and performing sum operation on the product of the square of the first difference corresponding to the plurality of communication parameters and the total number of the members of the corresponding sub-team to obtain the sub-communication quality difference.
5. The method of claim 3, wherein calculating a sum of squares of the average difference values for each member of the team and each communication parameter of the team to obtain the team's communication quality difference comprises:
calculating a second average value for each communication parameter in the team;
calculating the square of a second difference value between a second average value and a third value corresponding to the same communication parameter; wherein the third value is a value of a communication parameter for each member of each of the teams;
and carrying out sum operation on squares of second difference values corresponding to the plurality of communication parameters to obtain the communication quality difference of the team.
6. The method of claim 1 or 2, wherein the formula of the fracture zone strength algorithm is:
Figure FDA0003208109000000021
wherein, FaugThe value of k is 1 or 2 for the fracture zone strength;
Figure FDA0003208109000000022
is the mean of the jth communication parameter among the ith members of the kth subgroup,
Figure FDA0003208109000000031
represents the mean of the jth communication parameter in the team,
Figure FDA0003208109000000032
is the average of the jth communication parameter in the kth sub-team, g is the total number of members in the team,
Figure FDA0003208109000000033
the total number of members of the kth sub-team.
7. The method of any of claims 1-5, wherein the communication parameters comprise:
any combination of at least two evaluation factors in signal strength indication, modulation and coding strategy, channel utilization rate, equipment number, transmitting power, antenna gain, signal-to-noise ratio, background noise, receiving utilization rate and transmitting utilization rate.
8. A wireless network system, comprising:
at least one access controller for performing the method of any one of claims 1-7;
at least one access point governed by the access controller;
and the terminal to be identified moves in the wireless network formed by all the access points.
9. An access controller, wherein the access controller governs at least one access point, the access controller comprising:
an obtaining unit, configured to obtain, in real time, a plurality of first communication parameter values of a terminal to be identified in the wireless network when the terminal to be identified roams from one access point to another access point
The calculating unit is used for calculating the communication quality difference between the terminal to be identified and the group of standard quality and high-quality terminals according to a plurality of second communication parameter values and a plurality of first communication parameter values of the group of standard quality and high-quality terminals; the group of standard quality and excellent terminals comprise a plurality of standard quality and excellent terminals, the standard quality and excellent terminals are terminals of which the communication quality reaches a preset standard, and a plurality of first communication parameter values and a plurality of second communication parameter values correspond to the same plurality of communication parameters;
the identification unit is used for judging whether the communication quality difference reaches a communication quality difference threshold value; and if the communication quality difference degree is greater than the communication quality difference threshold, identifying the terminal to be identified as a poor terminal.
10. An access controller, comprising:
at least one processor, and
a memory coupled to the at least one processor;
wherein the memory stores instructions executable by the at least one processor, the at least one processor performing the method of any one of claims 1-7 by executing the instructions stored by the memory.
11. A readable storage medium, comprising a memory,
the memory is for storing instructions that, when executed by the processor, cause an apparatus comprising the readable storage medium to perform the method of any of claims 1-7.
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Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7519476B1 (en) * 2006-07-28 2009-04-14 Seisnetics, Llc Method of seismic interpretation
CN107241771A (en) * 2017-06-16 2017-10-10 广东欧珀移动通信有限公司 Method for switching network, mobile terminal and computer-readable recording medium
CN107690823A (en) * 2016-09-26 2018-02-13 深圳市大疆创新科技有限公司 A kind of communication quality detection method, device and equipment
CN108271176A (en) * 2016-12-30 2018-07-10 中国移动通信集团福建有限公司 Determine base station cell matter difference root because method and system
CN109756352A (en) * 2017-11-02 2019-05-14 华为技术有限公司 The determination method, apparatus and storage medium of network quality
CN109982234A (en) * 2017-12-28 2019-07-05 中国移动通信集团陕西有限公司 A kind of localization method of poor-quality terminal, device, equipment and medium
CN110932908A (en) * 2019-12-04 2020-03-27 国网河南省电力公司许昌供电公司 Method, device and system for selecting network slice access
CN111372183A (en) * 2018-12-06 2020-07-03 中国移动通信集团陕西有限公司 Method, device, equipment and storage medium for identifying poor terminal
CN111948709A (en) * 2020-07-30 2020-11-17 中国石油大学(北京) Fracture zone structure identification method, device and system
CN112690809A (en) * 2020-02-04 2021-04-23 首都医科大学附属北京友谊医院 Method, device, server and storage medium for determining equipment abnormality reason

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7519476B1 (en) * 2006-07-28 2009-04-14 Seisnetics, Llc Method of seismic interpretation
CN107690823A (en) * 2016-09-26 2018-02-13 深圳市大疆创新科技有限公司 A kind of communication quality detection method, device and equipment
CN108271176A (en) * 2016-12-30 2018-07-10 中国移动通信集团福建有限公司 Determine base station cell matter difference root because method and system
CN107241771A (en) * 2017-06-16 2017-10-10 广东欧珀移动通信有限公司 Method for switching network, mobile terminal and computer-readable recording medium
CN109756352A (en) * 2017-11-02 2019-05-14 华为技术有限公司 The determination method, apparatus and storage medium of network quality
CN109982234A (en) * 2017-12-28 2019-07-05 中国移动通信集团陕西有限公司 A kind of localization method of poor-quality terminal, device, equipment and medium
CN111372183A (en) * 2018-12-06 2020-07-03 中国移动通信集团陕西有限公司 Method, device, equipment and storage medium for identifying poor terminal
CN110932908A (en) * 2019-12-04 2020-03-27 国网河南省电力公司许昌供电公司 Method, device and system for selecting network slice access
CN112690809A (en) * 2020-02-04 2021-04-23 首都医科大学附属北京友谊医院 Method, device, server and storage medium for determining equipment abnormality reason
CN111948709A (en) * 2020-07-30 2020-11-17 中国石油大学(北京) Fracture zone structure identification method, device and system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
付重;肖行诠;: "电力应急通信系统应用研究", 电力系统通信, no. 05 *
杨晶照;臧敏;甄美荣;: "基于知识图谱的团队断裂带与创新:热点及趋势分析", 科技进步与对策, no. 15 *

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