CN113676945B - Method, system, access controller and storage medium for identifying bad terminal - Google Patents

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

Info

Publication number
CN113676945B
CN113676945B CN202110922932.1A CN202110922932A CN113676945B CN 113676945 B CN113676945 B CN 113676945B CN 202110922932 A CN202110922932 A CN 202110922932A CN 113676945 B CN113676945 B CN 113676945B
Authority
CN
China
Prior art keywords
communication
team
terminal
sub
quality
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202110922932.1A
Other languages
Chinese (zh)
Other versions
CN113676945A (en
Inventor
王若明
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Ruijie Networks Co Ltd
Original Assignee
Ruijie Networks Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Ruijie Networks Co Ltd filed Critical Ruijie Networks Co Ltd
Priority to CN202110922932.1A priority Critical patent/CN113676945B/en
Publication of CN113676945A publication Critical patent/CN113676945A/en
Application granted granted Critical
Publication of CN113676945B publication Critical patent/CN113676945B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/08Testing, supervising or monitoring using real traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W36/00Hand-off or reselection arrangements
    • H04W36/08Reselecting an access point
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W88/00Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
    • H04W88/02Terminal devices
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention discloses a method, a system, an access controller and a storage medium for identifying a poor quality terminal, which are used for solving the technical problem of low accuracy of identifying the poor quality terminal in the prior art, and comprise the following steps: acquiring a plurality of first communication parameter values of a terminal to be identified 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; according to a plurality of second communication parameter values and a plurality of first communication parameters of a group of standard quality terminals, calculating the communication quality difference between the terminal to be identified and the group of standard quality terminals; the standard quality terminals are terminals with communication quality reaching a preset standard, and the first communication parameter values and the second communication parameter values correspond to the same communication parameters; judging whether the communication quality difference degree reaches a communication quality difference threshold value or not; and if the communication quality difference degree is larger than the communication quality difference threshold, identifying the terminal to be identified as a quality difference terminal.

Description

Method, system, access controller and storage medium for identifying bad 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 quality terminal.
Background
A wireless network typically includes an Access controller (Access Controller, AC), an Access Point (AP), and a terminal.
In a wireless network, after a terminal is far away from an access point of the wireless network, the terminal can detect that a signal of the access point is weaker and weaker, the corresponding access point can also detect that the signal of the terminal is weakening gradually, and after the signal strength is lower than a threshold value, normal communication between the terminal and the access point cannot be possible, so that the situation of communication failure occurs.
In the prior art, in order to solve the above-mentioned problems, a roaming mechanism is provided in the 802.11 working group, and a terminal with poor signal quality can re-access itself to an access point with good surrounding signal quality through the 802.11 protocol. However, in the 802.11 protocol, it is not clearly defined how the terminal belongs to the terminal with poor signal quality, so that each terminal manufacturer, access point and access controller manufacturer can identify the terminal with poor quality (i.e. the terminal with poor signal quality) according to the actual situation.
In general, the main identification method of the quality difference terminal comprises the following steps: identified by received signal strength indication (Received Signal Strength Indication, RSSI), identified by modulation and coding strategy (Modulation and Coding Scheme, MCS), determined by channel utilization. However, since the RSSI is affected by the angle of the antenna, the transmit power, and the error, a bad terminal cannot be well identified; the MCS has limitation on the communication of the message, if the messages of both parties of the communication are lost, the negotiation rate can not be updated in time, and the identification of the poor quality terminal can be misled; in addition, the channel utilization has a good judgment factor in an environment with relatively large competition, but there is no way to effectively identify bad terminals in an environment with small competition.
In view of this, how to accurately identify the bad terminal is a technical problem to be solved.
Disclosure of Invention
The invention provides a method, a system, an access controller and a storage medium for identifying a poor quality terminal, which are used for solving the technical problem of low accuracy of identifying the poor quality terminal in the prior art.
In order to solve the above technical problems, a method for identifying a poor quality terminal according to an embodiment of the present invention is applied to an access controller in a wireless network, where the access controller manages a plurality of access points, and the technical scheme of the method is as follows:
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;
calculating the communication quality difference between the terminal to be identified and the set of standard quality terminals according to a plurality of second communication parameter values and a plurality of first communication parameter values of the set of standard quality terminals; the standard quality terminals are terminals with communication quality reaching a preset standard, and the first communication parameter values and the second communication parameter values correspond to the same communication parameters;
Judging whether the communication quality difference degree reaches a communication quality difference threshold value or not; and if the communication quality difference degree is larger than the communication quality difference threshold, identifying the terminal to be identified as a quality difference terminal.
A possible implementation manner, calculating a degree of difference of communication quality between the terminal to be identified and a set of standard quality terminals according to a plurality of second communication parameter values and a plurality of first communication parameter values of the set of standard quality terminals, including:
taking the group of standard quality terminals and the terminal to be identified as a team;
taking the set of standard quality terminals as one sub-team of the teams, and taking the terminal to be identified as another sub-team of the teams;
and calculating the splitting degree between two sub-teams in the team by using a fracture band strength algorithm based on the second communication parameter values and the first communication parameter values to obtain the communication quality difference degree.
A possible implementation manner, calculating a splitting degree between two sub-teams in the team by using a fracture band strength algorithm to obtain the communication quality difference degree, including:
respectively calculating the square sum of the average difference values of the two sub-teams and each communication parameter of the teams 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, and obtaining 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 teams as the communication quality difference degree.
One possible implementation way, calculating the sum of squares of the average difference values of each communication parameter of the two sub-teams and 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 carrying out sum operation on the product of the square of the first difference value corresponding to the communication parameters and the total number of the members of the corresponding sub-team to obtain the sub-communication quality difference.
A possible implementation, calculating a sum of squares of average difference values of each member of the team and each communication parameter of the team, to obtain a communication quality difference of the team, includes:
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 of each member in each sub-team;
and carrying out sum operation on squares of second differences corresponding to the communication parameters to obtain the communication quality difference of the team.
In one possible embodiment, the formula of the fracture band strength algorithm is:
therein, fau g For breaking belt strength, k is 1 or 2;for the mean value of the j-th communication parameters in the i-th member of the k-th sub-team, +.>Mean value representing j-th communication parameter in said team,/->For the mean value of the j-th communication parameter in the k-th sub-team, g is the total number of members in the team, <>Total number of members for the kth sub-team.
A possible implementation, the communication parameters include:
any combination of at least two evaluation factors among signal strength indication, modulation and coding strategy, channel utilization, device number, transmit power, antenna gain, signal to noise ratio, background noise, reception utilization, transmission utilization.
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 according to 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 manages at least one access point, including:
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, in a process that the terminal to be identified roams from one access point to another access point;
the computing unit is used for computing the communication quality difference degree between the terminal to be identified and the 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; the standard quality terminals are terminals with communication quality reaching a preset standard, and the first communication parameter values and the second communication parameter values correspond to the same communication parameters;
the identification unit is used for judging whether the communication quality difference degree reaches a communication quality difference threshold value or not; and if the communication quality difference degree is larger than the communication quality difference threshold, identifying the terminal to be identified as a quality difference terminal.
In a 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 set of standard quality terminals as one sub-team of the teams, and taking the terminal to be identified as another sub-team of the teams;
and calculating the splitting degree between two sub-teams in the team by using a fracture band strength algorithm based on the second communication parameter values and the first communication parameter values to obtain the communication quality difference degree.
In a 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 teams 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, and obtaining 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 teams as the communication quality difference degree.
In a 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 carrying out sum operation on the product of the square of the first difference value corresponding to the communication parameters and the total number of the members of the corresponding sub-team to obtain the sub-communication quality difference.
In a 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 of each member in each sub-team;
and carrying out sum operation on squares of second differences corresponding to the communication parameters to obtain the communication quality difference of the team.
In one possible embodiment, the formula of the fracture band strength algorithm is:
therein, fau g For breaking belt strength, k is 1 or 2;for the mean value of the j-th communication parameters in the i-th member of the k-th sub-team, +.>Mean value representing j-th communication parameter in said team,/- >For the mean value of the j-th communication parameter in the k-th sub-team, g is the total number of members in the team, <>Total number of members for the kth sub-team.
A possible implementation, the communication parameters include:
any combination of at least two evaluation factors among signal strength indication, modulation and coding strategy, channel utilization, device number, transmit power, antenna gain, signal to noise ratio, background noise, reception utilization, transmission utilization.
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, the at least one processor performing the method of the first aspect described above by executing the instructions stored by the memory.
In a fifth aspect, embodiments of the present invention further provide a readable storage medium, including:
the memory device is used for storing the data,
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 as described in the first aspect above.
Through the technical scheme in the one or more 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 degree between the terminal to be identified and a group of standard quality terminals is calculated by introducing a plurality of communication parameters influencing the communication quality, and whether the terminal to be identified is a quality difference terminal or not is identified by combining a communication quality difference threshold value, and compared with the prior art, the reliability of identifying the quality difference terminal by only using one communication parameter is higher, so that the accuracy of identifying the quality difference terminal is improved.
Drawings
Fig. 1 is a flowchart of a method for identifying a poor quality terminal according to an embodiment of the present invention;
fig. 2 is a schematic diagram of 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 diagram 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 quality terminal, which are used for solving the technical problem of low accuracy of identifying the poor quality terminal in the prior art.
In order to better understand the above technical solutions, the following detailed description of the technical solutions of the present invention is made by using the accompanying drawings and specific embodiments, and it should be understood that the specific features of the embodiments and the embodiments of the present invention are detailed descriptions of the technical solutions of the present invention, and not limiting the technical solutions of the present invention, and the technical features of the embodiments and the embodiments 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 quality terminal, which is applied to an access controller in a wireless network, and the access controller manages a plurality of access points.
Step 101: and acquiring a plurality of first communication parameter values of the terminal to be identified in real time in the process that the terminal to be identified in the 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 personal computer, an intelligent device and the like.
Step 102: according to the second communication parameter values and the first communication parameter values of the standard quality terminal, calculating the communication quality difference between the terminal to be identified and the standard quality terminal; the standard quality terminals are terminals with communication quality reaching a preset standard, and the first communication parameter values and the second communication parameter values correspond to the same communication parameters;
Step 103: judging whether the communication quality difference degree reaches a communication quality difference threshold value or not; if the communication quality difference degree reaches a communication quality difference threshold value; and identifying the terminal to be identified as a quality difference terminal.
In the embodiment provided by the invention, since 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 comprehensively determined by a plurality of second communication parameter values corresponding to a plurality of communication parameters, and correspondingly, the preset standard can be one comprehensive value obtained by comprehensively quantizing a plurality of communication parameters or a plurality of standard thresholds 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 an integrated value corresponding to the four communication parameters, and the terminal with the value obtained by carrying out weighting calculation after normalization processing on the corresponding plurality of second communication parameter values is regarded as a standard quality terminal; if the preset standard is the standard threshold value corresponding to each of the four communication parameters, only the terminals of which the second communication parameter values corresponding to the four communication parameters reach the standard threshold values corresponding to each are identified as standard quality terminals.
Fig. 2 is a schematic diagram of 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.
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 home position of the terminal to be identified is located in the signal coverage area of the access point 1, in the process that the terminal to be identified moves from an original position to a target position (located in the signal coverage area of the access point 2), the signal intensity of the terminal to be identified is firstly weakened and then strengthened in the process, the signal intensity of the terminal to be identified is detected by the corresponding access point 1 to be weakened gradually until the signal intensity of the terminal to be identified disappears, the signal intensity of the terminal to be identified is detected by the access point 2 to be strengthened gradually after the terminal to be identified is detected by the access point 1 or the access point 2, the process that the signal intensity of the terminal to be identified changes is detected by the access point 1 or the access point 2, and the signal intensity of the terminal to be identified in the process is reported to the access controller, so that the access controller can determine the roaming process of the terminal to be identified, and relevant processing is carried out. The roaming quality of the terminal to be identified may refer to fig. 3, and fig. 3 is a schematic diagram of the roaming quality of the terminal to be identified according to an embodiment of the present invention.
In the process that the terminal to be identified moves from the signal coverage of the access point 1 to the signal coverage of the access point 2, the signal quality is worst in theory at the juncture position of the signal coverage of the access point 1 and the signal coverage of the access point 2, but the signal strength decreases with the increase of the distance between the terminal and the access point 1 or the access point 2, so that in practical application, the quality difference stage moves forward, and correspondingly the roaming completion moves forward. As shown in fig. 3, a quality difference section with poor signal quality exists in the vicinity of the coverage boundary between the access point 1 and the access point 2, and the quality difference section of the signal coverage of the access point 1 and a part of the continuous area in the vicinity thereof are intercepted, so that they can be divided into a quality improvement section with good signal quality, a buffer section with general signal quality, and a quality difference section according to the signal quality.
When the terminal to be identified is located in the quality range, the terminal to be identified is determined to be a quality terminal; when the terminal to be identified is located in the buffer area, the terminal to be identified is determined to be a potential problem terminal; and determining the terminal to be identified as the quality difference terminal when the terminal to be identified is located in the quality difference interval.
It should be understood that in fig. 3, 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, and in fact, a similar quality difference interval 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 affected by not only the signal quality of the terminal to be identified, but also other factors such as the number of surrounding terminals, environment and the like, so that the terminal to be identified can be classified as a good-quality terminal by performing normal communication with the access point even if the terminal to be identified is determined as a potentially problematic terminal in the buffer area shown in fig. 3, but can be classified as a bad-quality terminal 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, whether the terminal to be identified is a poor quality terminal can be identified by acquiring a plurality of first communication parameter values of the terminal to be identified in real time and calculating the communication quality difference degree between the terminal to be identified and a group of standard quality terminals in real time according to a plurality of second communication parameter values and a plurality of first communication parameter values of a group of standard quality terminals, and further judging whether the communication quality difference degree reaches a communication quality difference threshold value 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 quality difference terminal; and if the communication quality difference degree is smaller than or equal to the communication quality difference threshold value, determining the terminal to be identified as a quality terminal.
A plurality of communication parameters, comprising:
any combination of at least two evaluation factors among signal strength indication, modulation and coding strategy, channel utilization, device number, transmit power, antenna gain, signal to noise ratio, background noise, reception utilization, transmission utilization.
For example, when the plurality of communication parameters include four of signal strength indication, modulation and coding strategy, channel utilization and device number, the plurality of first communication parameter values of the terminal to be identified are the obtained signal strength indication, modulation and coding strategy, channel utilization and device number (1) of the terminal to be identified, and the second communication parameter of the set of standard quality terminals is the signal strength indication, modulation and coding strategy, channel utilization and device number (which is the total number of standard quality terminals in the set of standard quality terminals) of each standard quality terminal.
For another example, the plurality of communication parameters may further include a signal strength indication, a modulation and coding strategy, a channel utilization ratio, a device number, a transmitting power, and an antenna gain, and the plurality of first communication parameter values of the terminal to be identified are obtained signal strength indication, modulation and coding strategy, channel utilization ratio, device number, transmitting power, and antenna gain of the terminal to be identified, and the second communication parameters of the set of standard-quality terminals are signal strength indication, modulation and coding strategy, channel utilization ratio, device number, transmitting power, and antenna gain of each standard-quality terminal.
In one possible implementation manner, according to the second communication parameter values and the first communication parameter values of the set of standard quality terminals, the communication quality difference between the terminal to be identified and the set of standard quality terminals is calculated by the following ways:
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 of the teams, and taking the terminal to be identified as the other sub-team of the teams; and calculating the splitting degree between two sub-teams in the team by using a breaking band 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, if a group of standard-quality terminals includes standard-quality terminals 1-10, then the standard-quality terminals 1-10 and the terminal to be identified are referred to as a team, each of which is referred to as a member. Meanwhile, the standard quality terminals 1 to 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 consists of 2 sub-teams. If four communication parameters of signal strength indication, modulation and coding strategy, channel utilization rate and equipment number are used, calculating the splitting degree between two sub-teams in a team by using a breaking band strength algorithm to obtain the communication quality difference degree by using 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=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 and the channel utilization rate of the terminal to be identified and the equipment number=1) of the terminal to be identified.
One possible implementation manner, the split degree between two sub-teams in the team is calculated by using a fracture band strength algorithm, so as to obtain the communication quality difference degree, which can be achieved by the following ways:
respectively calculating the square sum of the average difference values of each communication parameter of the two sub-teams and each 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, and obtaining 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 teams as the communication quality difference degree.
For example, sub-team 1 is a group of standard quality terminals (including standard quality terminal 1-standard quality terminal 10), sub-team 2 is a terminal to be identified, sub-team 1 and sub-team 2 constitute one team, and they use four communication parameters of signal strength indication, modulation and coding strategy, channel utilization, and number of devices.
The method comprises the steps of calculating squares of average difference values of signal intensity indications of a sub-team 1 and a sub-team 2 and a whole team respectively, calculating squares of modulation and coding strategies of the whole team respectively for the sub-team 1 and the sub-team 2, calculating squares of channel utilization rates of the whole team respectively for the sub-team 1 and the sub-team 2, calculating squares of equipment numbers of the whole team respectively for the sub-team 1 and the sub-team 2, and taking a sum value of all squares of each sub-team corresponding to the four parameters as a sub-communication quality difference of the corresponding sub-team.
Meanwhile, for each member in the team, calculating the square of the average difference value between each member and each communication parameter of the team, for example, taking the communication parameter as a signal strength indication and the member as a terminal to be identified as an example, 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, then the terminal to be identified and each communication parameter of the teamIs (N-M) 2 . The square calculation mode of the average difference value corresponding to other members is similar to that, and the sum operation is carried out on the squares of the average difference values corresponding to all members in 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 teams as the communication quality difference degree.
One possible implementation, calculating the sum of squares of the average difference values of each communication parameter of two sub-teams and teams separately, to obtain a 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 value corresponding to the communication parameters and the total number of the members of the corresponding sub-team to obtain the sub-communication quality difference.
For example, sub-team 1 is a group of standard quality terminals (including standard quality terminals 1 to 10), sub-team 2 is a terminal to be identified, sub-team 1 and sub-team 2 form a team, which use four communication parameters of signal strength indication, modulation and coding strategy, channel utilization, and number of devices, which are sequentially denoted as A, B, C, D, and four second communication parameter values of the four communication parameters corresponding to the corresponding standard quality terminals 1 to 10 are denoted as (a) 1 ,B 1 ,C 1 ,D 1 ),……,(A 10 ,B 10 ,C 10 ,D 10 ) The terminal to be identified and the 4 first communication parameter values corresponding to the four communication parameters are marked as (A) 11 ,B 11 ,C 11 ,D 11 )。
Mean value of signal intensity indication in sub-team 1 (denoted as a a1 ) The method comprises the following steps: a is that a1 =(A 1 +A 2 +…+A 10 ) The average value of the rest of the communication parameters in the sub-team 1 is calculated in a similar manner and will not be described again. Each of the sub-team 1The average value of the communication parameters is generally referred to as a first average value, and the first average values corresponding to the other three communication parameters are sequentially referred to as B a1 、C a1 、D a1 =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 of the terminal to be identified 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 referred to as the first average value.
Calculating the average value of each communication parameter in the whole team (i.e. sub-team 1 and sub-team 2), such as the average value of the signal strength indication of the team (denoted as a a ) The method comprises the following steps: a is that a =(A 1 +A 2 +…+A 10 +A 11 ) The average value of other communication parameters in the team can be calculated by the same method, the average values are collectively called as a second average value, and the second average value corresponding to the other three communication parameters is sequentially marked as B a 、C a 、D a =11。
Aiming at the first average value and the second average value which correspond to the four communication parameters respectively, the sub-communication quality difference can be calculated:
the sub-communication quality difference of sub-team 1 is noted as delta 1 ,Δ 1 =10[(A a1 -A a ) 2 +(B a1 -B a ) 2 +(C a1 -C a ) 2 +(10-11) 2 ]。
The sub-communication quality difference of sub-team 2 is noted as delta 2 ,Δ 2 =(A a2 -A a ) 2 +(B a2 -B a ) 2 +(C a2 -C a ) 2 +(1-11) 2
In one possible implementation, the square sum of the average difference value between each member in the team and each communication parameter of the team is calculated, so as to obtain the communication quality difference of the team, which can be achieved 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 of each member in each sub-team; and carrying out sum operation on squares of the second differences corresponding to the communication parameters to obtain the communication quality difference of the team.
For example, sub-team 1 is a group of standard quality terminals (including standard quality terminals 1 to 10), sub-team 2 is a terminal to be identified, sub-team 1 and sub-team 2 constitute a team, which uses four communication parameters of signal strength indication, modulation and coding strategy, channel utilization, number of devices, which are sequentially denoted as A, B, C, D, and four second communication parameter values of the four communication parameters corresponding to the standard quality terminals 1 to 10 are denoted as (a) 1 ,B 1 ,C 1 ,D 1 ),……,(A 10 ,B 10 ,C 10 ,D 10 ) The terminal to be identified and the 4 first communication parameter values corresponding to the four communication parameters are marked as (A) 11 ,B 11 ,C 11 ,D 11 ) The first communication parameter value and the second communication parameter value are third values corresponding to the corresponding members in the sub-team.
The calculation of the second average value of each communication parameter in the team can be seen from the above embodiment, and the second average values corresponding to the four communication parameters are sequentially denoted as A a 、B a 、C a 、D a Taking the communication parameter as the signal strength indication as an example, the second difference of the signal strength indications of the standard-quality-good terminal 1 is denoted as a =11 d1 ,A d1 =A a1 -A a Similarly, the second average value of each parameter of other members in the team can be calculated, and the second average value of the other three communication parameters of the standard quality terminal 1 is sequentially recorded as B d1 、C d1 、D d1 The second average value of the four parameters of the rest terminals adopts a similar marking mode, for example, the second average value of the four communication parameters of the standard quality terminal 2 and the terminal to be identified is sequentially marked as follows: (A) d2 、B d2 、C d2 、D d2 )、(A d11 、B d11 、C d11 、D d11 )。
After that, a dough can be obtainedThe difference in communication quality of the teams is noted as Δ, Δ=a d1 2 +…+A d10 2 +A d11 2 +B d1 …+B d10 +B d11 +C d1 …+C d10 +C d11 +D d1 …+D d10 +D d11
Finally, the communication quality difference between the terminal and a group of standard quality terminals = (sub communication quality difference of sub team 1 + sub communication quality difference of sub team 2)/communication quality difference of team is calculated. The value range of the communication quality difference is 0-1, the closer the communication quality difference is to 1, the larger the breaking band strength is, the more the terminal to be identified is separated from the standard quality terminal group, namely the terminal to be identified is close to the quality difference terminal, if the breaking band strength critical value of the quality difference terminal is 0.8, the communication quality difference threshold value is set to 0.8, when the communication quality difference between the terminal to be identified and a group of standard quality terminals is larger than 0.8, the terminal to be identified is identified as the quality difference terminal, and if the communication quality difference is smaller than or equal to 0.8, the terminal to be identified is identified as the quality difference 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 as follows by using a formula of a broken band strength algorithm:
Therein, fau g For breaking belt strength, k is 1 or 2;for the value of the j-th communication parameter, x/u, in the ith member of the kth sub-team .j. Mean value representing j-th communication parameter in said team,/->For the mean value of the j-th communication parameter in the k-th sub-team, g is the total number of members in the team, <>Total number of members for the kth sub-team. If the communication parameters are four communication parameters of 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 sequentially as 1-4, j in the formula (1) is the number of the communication parameters, a group of standard quality terminals and terminals to be identified can be numbered, and i in the formula (1) is the number of the terminals in the corresponding sub-team.
The value of the fracture band strength is between [0,1], the closer to 1, the stronger the fracture strength is, the farther from the near quality-improving section, and the closer to the quality-difference section is; the closer to 0, the weaker the breaking strength, the closer to the quality improvement zone, and the farther from the quality difference zone.
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 degree between the terminal to be identified and a group of standard quality terminals is calculated by introducing a plurality of communication parameters influencing the communication quality, and whether the terminal to be identified is a quality difference terminal or not is identified by combining a communication quality difference threshold value, and compared with the prior art, the reliability of identifying the quality difference terminal by only using one communication parameter is higher, so that the accuracy of identifying the quality difference terminal is improved.
Referring to fig. 4, in an embodiment of the present invention, a wireless network system is provided, which includes:
at least one access controller 401 for performing the method of identifying bad terminals as described above; the specific implementation of the access controller method can refer to the description of the embodiment part of the method for identifying the poor quality terminal, and the repetition is not repeated.
At least one access point 402 governed by the access controller 401;
a terminal 403 to be identified that moves in the wireless network composed of all access points 402.
Based on the same inventive concept, in an embodiment of the present invention, an access controller is provided, the access controller manages at least one access point, a specific implementation of a method for identifying a bad terminal of the access controller may refer to a description of an embodiment part of the method, and details are not repeated, and please refer 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 during roaming from one access point to another access point;
a calculating unit 502, configured to calculate a degree of difference in communication quality between the terminal to be identified and the set of standard quality terminals according to a plurality of second communication parameter values and a plurality of first communication parameter values of the set of standard quality terminals; the standard quality terminals are terminals with communication quality reaching a preset standard, and the first communication parameter values and the second communication parameter values correspond to the same communication parameters;
An identifying unit 503, configured to determine whether the communication quality difference degree reaches a communication quality difference threshold; and if the communication quality difference degree is larger than the communication quality difference threshold, identifying the terminal to be identified as a quality difference terminal.
In a possible implementation manner, 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 set of standard quality terminals as one sub-team of the teams, and taking the terminal to be identified as another sub-team of the teams;
and calculating the splitting degree between two sub-teams in the team by using a fracture band strength algorithm based on the second communication parameter values and the first communication parameter values to obtain the communication quality difference degree.
In a possible implementation manner, 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 teams 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, and obtaining 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 teams as the communication quality difference degree.
In a possible implementation manner, 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 carrying out sum operation on the product of the square of the first difference value corresponding to the 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 manner, 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 of each member in each sub-team;
and carrying out sum operation on squares of second differences corresponding to the communication parameters to obtain the communication quality difference of the team.
In one possible embodiment, the formula of the fracture band strength algorithm is:
Therein, fau g For breaking belt strength, k is 1 or 2;for the ith member in the kth sub-teamMean value of j-th communication parameter, +.>Mean value representing j-th communication parameter in said team,/->For the mean value of the j-th communication parameter in the k-th sub-team, g is the total number of members in the team, <>Total number of members for the kth sub-team.
A possible implementation, the communication parameters include:
any combination of at least two evaluation factors among signal strength indication, modulation and coding strategy, channel utilization, device number, transmit power, antenna gain, signal to noise ratio, background noise, reception utilization, transmission utilization.
It should be noted that, in the embodiment of the present application, the division of the units is schematic, which is merely a logic function division, and other division manners may be implemented in actual practice. In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a processor-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution, in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
It should be noted that, the above device provided in the embodiment of the present invention can implement all the method steps implemented in the method embodiment and achieve the same technical effects, and detailed descriptions of the same parts and beneficial effects as those in the method embodiment in this embodiment are omitted.
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, the at least one processor executing the method of identifying a bad terminal as described above by executing the instructions stored by the memory.
Based on the same inventive concept, an embodiment of the present invention also provides a readable storage medium, including:
the memory device is used for storing the data,
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 bad 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 nonvolatile memory, or may include both volatile and nonvolatile memory. By way of example, and not limitation, nonvolatile Memory can include Read-Only Memory (ROM), programmable ROM (Programmable Read-Only Memory, PROM), electrically programmable ROM (Erasable Programmable Read-Only Memory, EPROM), electrically erasable programmable ROM (Electrically Erasable Programmable Read Only Memory, EEPROM) or flash Memory, solid State Disk (Solid State Disk or Solid State Drive, SSD), magnetic Memory (e.g., floppy Disk, hard Disk, magnetic tape, magneto-Optical Disk (MO), etc.), optical Memory (e.g., CD, DVD, BD, HVD, etc.). Volatile memory can include random access memory (Random Access Memory, RAM), which can act as external cache memory. By way of example, and not limitation, RAM is available in a variety of forms, such as dynamic RAM (Dynamic Random Access Memory, DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDR SDRAM), enhanced SDRAM (EnhancedSynchronousDRAM, 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.
It will be appreciated by those skilled in the art that embodiments of the 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. Moreover, 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, etc.) 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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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 modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (11)

1. The method for identifying the poor quality terminal is characterized by being applied to an access controller in a wireless network, wherein the access controller manages a plurality of access points and comprises the following steps:
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;
calculating the communication quality difference degree between the terminal to be identified and the group of standard quality terminals through a fracture band strength algorithm according to a plurality of second communication parameter values and a plurality of first communication parameter values of the group of standard quality terminals; the standard quality terminals are terminals with communication quality reaching a preset standard, and the first communication parameter values and the second communication parameter values correspond to the same communication parameters;
judging whether the communication quality difference degree reaches a communication quality difference threshold value or not; and if the communication quality difference degree is larger than the communication quality difference threshold, identifying the terminal to be identified as a quality difference terminal.
2. The method of claim 1, wherein calculating a degree of difference in communication quality between the terminal to be identified and a set of standard-quality terminals based on a plurality of second communication parameter values and a plurality of first communication parameter values for the set of standard-quality terminals comprises:
Taking the group of standard quality terminals and the terminal to be identified as a team;
taking the set of standard quality terminals as one sub-team of the teams, and taking the terminal to be identified as another sub-team of the teams;
and calculating the splitting degree between two sub-teams in the team by using a fracture band strength algorithm based on the second communication parameter values and the 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 sub-teams of the team using a fracture band strength algorithm to obtain the communication quality differential comprises:
respectively calculating the square sum of the average difference values of the two sub-teams and each communication parameter of the teams 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, and obtaining 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 teams as the communication quality difference degree.
4. The method of claim 3, wherein separately calculating the sum of squares of the average difference values of each communication parameter of the two sub-teams and the team to obtain the 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 carrying out sum operation on the product of the square of the first difference value corresponding to the 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 average difference values for each member of the team and each communication parameter of the team to obtain a communication quality difference for 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 of each member in each sub-team;
And carrying out sum operation on squares of second differences corresponding to the communication parameters to obtain the communication quality difference of the team.
6. The method of claim 1 or 2, wherein the broken band strength algorithm is formulated as:
therein, fau g For breaking belt strength, k is 1 or 2;for the j-th communication parameter in the i-th member of the k-th sub-teamP is the number of said first communication parameters,/is the mean value of>Mean value representing j-th communication parameter in said team,/->For the mean value of the j-th communication parameter in the k-th sub-team, g is the total number of members in the team, <>Total number of members for the kth sub-team.
7. The method according to any one of claims 1-5, wherein the communication parameters include:
any combination of at least two evaluation factors among signal strength indication, modulation and coding strategy, channel utilization, device number, transmit power, antenna gain, signal to noise ratio, background noise, reception utilization, transmission utilization.
8. A wireless network system, comprising:
at least one access controller for performing the method of any 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 hosts at least one access point, the access controller comprising:
an acquisition unit, configured to acquire, in real time, a plurality of first communication parameter values of a terminal to be identified in a wireless network during roaming from one access point to another access point
The computing unit is used for computing the communication quality difference degree between the terminal to be identified and the group of standard quality terminals through a fracture band strength algorithm according to a plurality of second communication parameter values and a plurality of first communication parameter values of the group of standard quality terminals; the standard quality terminals are terminals with communication quality reaching a preset standard, and the first communication parameter values and the second communication parameter values correspond to the same communication parameters;
the identification unit is used for judging whether the communication quality difference degree reaches a communication quality difference threshold value or not; and if the communication quality difference degree is larger than the communication quality difference threshold, identifying the terminal to be identified as a quality difference 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 of claims 1-7 by executing the instructions stored by the memory.
11. A readable storage medium comprising a memory,
the memory is configured to store instructions that, when executed by a processor, cause an apparatus comprising the readable storage medium to perform the method of any of claims 1-7.
CN202110922932.1A 2021-08-12 2021-08-12 Method, system, access controller and storage medium for identifying bad terminal Active CN113676945B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110922932.1A CN113676945B (en) 2021-08-12 2021-08-12 Method, system, access controller and storage medium for identifying bad terminal

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110922932.1A CN113676945B (en) 2021-08-12 2021-08-12 Method, system, access controller and storage medium for identifying bad terminal

Publications (2)

Publication Number Publication Date
CN113676945A CN113676945A (en) 2021-11-19
CN113676945B true CN113676945B (en) 2024-02-23

Family

ID=78542429

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110922932.1A Active CN113676945B (en) 2021-08-12 2021-08-12 Method, system, access controller and storage medium for identifying bad terminal

Country Status (1)

Country Link
CN (1) CN113676945B (en)

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 (3)

* 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.2011,(第05期), *
基于知识图谱的团队断裂带与创新:热点及趋势分析;杨晶照;臧敏;甄美荣;;科技进步与对策(第15期);全文 *
电力应急通信系统应用研究;付重;肖行诠;;电力系统通信(第05期) *

Also Published As

Publication number Publication date
CN113676945A (en) 2021-11-19

Similar Documents

Publication Publication Date Title
KR102179044B1 (en) Apparatus and method for adjusting a receive beam gain in wireless communication system
CN106576305B (en) Transmission power control method and device
US9668186B2 (en) Method, device and system for processing radio link failure report and for statistically processing abnormal event
US9077446B2 (en) Method for controlling random access for the efficient sensing of the cooperative spectrum in a cognitive radio-based frequency resource sharing system
CN109429235B (en) Beam scanning method, network side equipment and mobile communication terminal
CN109121196B (en) Terminal transmitting power control method and device based on NB-IoT system
CN109462860B (en) Throughput optimization method and apparatus, electronic device, and computer-readable storage medium
TW201916601A (en) Polarized coding method and apparatus, electronic device, and storage medium
CN108632856B (en) Processing method for determining target neighbor cell and server
CN103856959A (en) Wireless local area network quality monitoring method, device and system
WO2023246322A1 (en) Adaptive beam width determination method and system, base station and medium
CN113676945B (en) Method, system, access controller and storage medium for identifying bad terminal
CN112468228A (en) LiFi communication optimization method and related device
CN108738092B (en) Network switching method and related product
CN111263375B (en) VOLTE uplink and downlink coverage balance judgment method and device
CN108064055A (en) A kind of switching method and base station
US10609641B2 (en) Estimating signal strength at a target wireless device
US9681330B2 (en) Apparatus and method for collecting radio frequency feature of wireless device in wireless communication apparatus
CN107682922A (en) For determining the method and system of upward signal interference-to-noise ratio desired value
US9918241B2 (en) Estimating channel utilization for a target wireless device
CN110322465B (en) Contour detection method and device for tumor microspheres
CN103987113A (en) Method for intelligently adjusting power of wireless access device applied to short-distance communication
CN113840264B (en) Communication link determining method, device, electronic equipment and storage medium
CN108966223A (en) Physical layer authentication method and system based on single-bit concealment agreement
CN109769291A (en) A kind of method and terminal of terminal power control

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant