CN108924868B - WiFi disconnection adjusting method and device, mobile terminal and storage medium - Google Patents

WiFi disconnection adjusting method and device, mobile terminal and storage medium Download PDF

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CN108924868B
CN108924868B CN201810602492.XA CN201810602492A CN108924868B CN 108924868 B CN108924868 B CN 108924868B CN 201810602492 A CN201810602492 A CN 201810602492A CN 108924868 B CN108924868 B CN 108924868B
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wifi
mobile terminal
error vector
vector magnitude
channel
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CN108924868A (en
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俞义
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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    • 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
    • H04W48/00Access restriction; Network selection; Access point selection
    • H04W48/16Discovering, processing access restriction or access information
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W76/00Connection management
    • H04W76/30Connection release
    • H04W76/34Selective release of ongoing connections

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  • Mobile Radio Communication Systems (AREA)

Abstract

The embodiment of the application discloses a WiFi disconnection adjusting method, a WiFi disconnection adjusting device, a mobile terminal and a storage medium, and relates to the technical field of communication. The method comprises the following steps: the method comprises the steps of detecting a WiFi channel where WiFi connected with a mobile terminal is located, obtaining the error vector amplitude of the mobile terminal in the WiFi channel, and adjusting a beacon timeout value between the mobile terminal and the WiFi based on the error vector amplitude, wherein the error vector amplitude of the WiFi channel is positively correlated with the beacon timeout value. The WiFi disconnection adjusting method, the WiFi disconnection adjusting device, the mobile terminal and the storage medium configure the beacon timeout value between the mobile terminal and the connected WiFi through the error vector magnitude of the WiFi channel where the WiFi connected with the mobile terminal is located, and therefore the method, the device, the mobile terminal and the storage medium are more compatible and higher in user experience degree.

Description

WiFi disconnection adjusting method and device, mobile terminal and storage medium
Technical Field
The present application relates to the field of communications technologies, and in particular, to a WiFi disconnection adjustment method, apparatus, mobile terminal, and storage medium.
Background
When the mobile terminal starts the Wireless local area network function, the mobile terminal connects to a Wireless Fidelity (WiFi) hotspot of the surrounding environment, and within a certain time after connection, if certain beacon frames are not received continuously, WiFi disconnection is performed. However, at present, the WiFi disconnection strategy adopts a method of fixing disconnection determination duration, which is low in compatibility and low in user experience.
Disclosure of Invention
In view of the above problems, the present application provides a WiFi disconnection adjustment method, apparatus, mobile terminal and storage medium, where a beacon timeout value between the mobile terminal and a connected WiFi is configured according to an error vector magnitude of a WiFi channel where the WiFi connected to the mobile terminal is located, so that the method and apparatus have the advantages of better compatibility and higher user experience.
In a first aspect, an embodiment of the present application provides a WiFi disconnection adjustment method, where the method includes: detecting a WiFi channel where WiFi connected with a mobile terminal is located; acquiring the error vector magnitude of the mobile terminal in the WiFi channel; adjusting a beacon timeout value between the mobile terminal and the WiFi based on the error vector magnitude, wherein the error vector magnitude of the WiFi channel is positively correlated with the beacon timeout value.
In a second aspect, an embodiment of the present application provides a WiFi disconnection adjusting apparatus, where the apparatus includes: the WiFi channel detection module is used for detecting a WiFi channel where WiFi connected with the mobile terminal is located; an error vector magnitude obtaining module, configured to obtain an error vector magnitude of the mobile terminal in the WiFi channel; a beacon timeout value determination module to adjust a beacon timeout value between the mobile terminal and the WiFi based on the error vector magnitude, wherein the error vector magnitude of the WiFi channel is positively correlated with the beacon timeout value.
In a third aspect, an embodiment of the present application provides a mobile terminal, including a display screen, a memory, and a processor, where the display screen and the memory are coupled to the processor, and the memory stores instructions, and when the instructions are executed by the processor, the processor performs the above method.
In a fourth aspect, the present application provides a computer readable storage medium having program code executable by a processor, the program code causing the processor to execute the above method.
The embodiment of the application provides a WiFi disconnection adjusting method, a WiFi disconnection adjusting device, a mobile terminal and a storage medium, a WiFi channel where WiFi connected with the mobile terminal is located is detected, the error vector magnitude of the mobile terminal in the WiFi channel is obtained, a beacon timeout value between the mobile terminal and the WiFi is adjusted based on the error vector magnitude, wherein the error vector magnitude of the WiFi channel is positively correlated with the beacon timeout value, and therefore the beacon timeout value between the mobile terminal and the connected WiFi is configured through the error vector magnitude of the WiFi channel where the WiFi connected with the mobile terminal is located, the method and the device are more compatible, and user experience is higher.
These and other aspects of the present application will be more readily apparent from the following description of the embodiments.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart illustrating a first WiFi disconnection adjustment method provided in an embodiment of the present application;
fig. 2 is a flowchart illustrating a second WiFi disconnection adjustment method provided in an embodiment of the present application;
fig. 3 is a flowchart illustrating a step S203 of a second WiFi disconnection adjustment method provided in the embodiment of the present application;
fig. 4 shows a block diagram of a first WiFi disconnection adjustment apparatus provided in an embodiment of the present application;
fig. 5 shows a block diagram of a second WiFi disconnection adjustment apparatus provided in the embodiments of the present application;
fig. 6 shows a schematic structural diagram of a mobile terminal provided in an embodiment of the present application;
fig. 7 shows a block diagram of a mobile terminal for performing a WiFi disconnection adjustment method according to an embodiment of the application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
With the development of mobile terminals, a wireless local area network WiFi has become a standard configuration of various mobile terminals, through this configuration, a mobile terminal can connect a WiFi hotspot near the mobile terminal, surf the internet by using the WiFi hotspot, and within a certain time after connection, if a beacon frame sent by the connected WiFi hotspot is not received continuously, WiFi disconnection is performed, however, the current WiFi disconnection strategy is a mode of fixing disconnection determination duration, which is low in compatibility and low in user experience. In view of the above problems, the inventor proposes a WiFi disconnection adjustment method, apparatus, mobile terminal and storage medium provided in this embodiment of the present application, and configures a beacon timeout value between the mobile terminal and a connected WiFi through an error vector magnitude of a WiFi channel where the WiFi connected to the mobile terminal is located, so that the method and apparatus have better compatibility and higher user experience. The specific WiFi disconnection adjustment method is described in detail in the following embodiments.
Examples
Referring to fig. 1, fig. 1 is a schematic flowchart illustrating a first WiFi disconnection adjustment method according to an embodiment of the present disclosure. The WiFi disconnection adjusting method is used for configuring the beacon timeout value between the mobile terminal and the connected WiFi through the error vector amplitude of the WiFi channel where the WiFi connected with the mobile terminal is located, and is more compatible and higher in user experience. In a specific embodiment, the WiFi disconnection adjusting method is applied to the WiFi disconnection adjusting apparatus 200 shown in fig. 4 and a mobile terminal configured with the WiFi disconnection adjusting apparatus 200 (fig. 6). The following will describe a specific process of this embodiment by taking a mobile terminal as an example, and it is understood that the mobile terminal applied in this embodiment may be a smart phone, a tablet computer, a wearable electronic device, and the like, which is not limited specifically herein. As will be described in detail with respect to the flow shown in fig. 1, the WiFi disconnection adjusting method may specifically include the following steps:
step S101: and detecting a WiFi channel where WiFi connected with the mobile terminal is located.
In this embodiment, when scanning all WiFi access points in the network coverage, the mobile terminal scans WiFi channels one by one according to the WiFi channels supported by the mobile terminal to obtain a WiFi access point on each WiFi channel in the scanned WiFi channels, and determines a WiFi access point from the WiFi access points for connection. Further, after the mobile terminal is connected with the WiFi, the WiFi channel where the WiFi connected with the mobile terminal is located is detected to acquire the WiFi channel where the WiFi connected with the mobile terminal is located.
Step S102: and acquiring the error vector magnitude of the mobile terminal in the WiFi channel.
An Error Vector Magnitude (EVM) is a Vector difference between an ideal Error-free reference signal and an actually transmitted signal at a given time, and is used for measuring an amplitude Error and a phase Error of a modulated signal, and the EVM specifically indicates a degree of proximity between an IQ component generated when a receiving terminal demodulates the signal and the ideal component, and is an index for considering the modulated signal. Furthermore, when different mobile phones leave the factory, EVM values are different, and meanwhile, the EVM value of the same mobile phone on different WiFi channels also has some deviations, so that good EVM values can bring good internet experience, but when the EVM is poor, the EVM is matched with some routes with poor compatibility, and WiFi experience deviations can occur. The EVM is a negative value, and the smaller the EVM is, the better the communication quality of the WiFi channel is.
Further, obtaining the error vector magnitude of the mobile terminal in the WiFi channel, for example, if the WiFi channel where the WiFi to be connected is located is a 1 channel, calculating the error vector magnitude of the mobile terminal in the 1 channel to obtain, for example, the error vector magnitude of the mobile terminal in the 1 channel is-27; if the WiFi channel where the WiFi to be connected is located is a 2 channel, calculating the error vector magnitude of the mobile terminal in the 2 channel, for example, the error vector magnitude of the mobile terminal in the 2 channel is-30, which is not limited herein.
Step S103: adjusting a beacon timeout value between the mobile terminal and the WiFi based on the error vector magnitude, wherein the error vector magnitude of the WiFi channel is positively correlated with the beacon timeout value.
The beacon timeout value (beacon timeout) is a duration of disconnection when no beacon frame is received continuously for a certain period of time. For example, when the mobile terminal is in a connection state with WiFi, assuming that the mobile terminal leaves an area covered by the WiFi, a beacon timeout condition may occur, that is, if the beacon frame signal of the WiFi is not received for a long time, the mobile terminal may consider that the mobile terminal has left the coverage area of the WiFi, and may choose to disconnect from the WiFi.
Therefore, in this embodiment, when the error vector magnitude of the WiFi channel where the WiFi connected to the mobile terminal is located is determined, that is, the EVM value of the WiFi channel where the WiFi connected to the mobile terminal is located is determined, since the magnitude of the error vector magnitude reflects the signal quality of the WiFi channel, the beacon timeout of the WiFi channel is determined according to the EVM value, and the beacon timeout of the WiFi channel can be determined according to the signal quality of the WiFi channel.
As one mode, as shown in table 1, the larger the EVM of the WiFi channel is, the worse the signal quality of the WiFi channel is, the shorter the beacon timeout between the mobile terminal and the WiFi is, and the beacon timeout time may be shortened for the WiFi channels with poor signal quality, because the signal quality of the WiFi channel is not good, the signal quality of the WiFi on the WiFi channel is also poor, and the WiFi on the WiFi channel may be abandoned, thereby ensuring that the mobile terminal connects to the WiFi with better communication quality.
TABLE 1
EVM value beacon timeout
-30 10s
-20 9s
-10 8s
-5 7s
As another way, as shown in table 2, it may be that the larger the EVM of the WiFi channel is, the worse the signal quality of the WiFi channel is, the longer the beacon timeout between the mobile terminal and the WiFi is, the longer the beacon timeout may be for the WiFi channel with bad signal quality, because the signal quality of the WiFi channel is not good, which may cause the signal transmission to be slower, and a longer time is needed to receive the signal, the longer the beacon timeout is needed, so as to ensure the stability of the connection between the mobile terminal and the WiFi.
TABLE 2
EVM value beacon timeout
-30 7s
-20 8s
-10 9s
-5 10s
Therefore, after the EVM value of the WiFi channel is determined, a beacon timeout may be configured for WiFi on the WiFi channel according to the EVM value, that is, a beacon timeout is manually configured for each channel, and of course, a corresponding relationship between an error vector magnitude and the beacon timeout may also be set, so as not to make specific limitations herein, so as to improve a success rate of WiFi connection. Optionally, in this embodiment, the error vector magnitude of the WiFi channel is positively correlated with beacon timeout, that is, the mapping relationship is shown in table 2.
The first WiFi disconnection adjusting method provided by the embodiment of the application detects a WiFi channel where WiFi connected with a mobile terminal is located, obtains the error vector amplitude of the mobile terminal on the WiFi channel, and adjusts the beacon timeout value between the mobile terminal and the WiFi based on the error vector amplitude, wherein the error vector amplitude of the WiFi channel is positively correlated with the beacon timeout value, so that the beacon timeout value between the mobile terminal and the connected WiFi is configured through the error vector amplitude of the WiFi channel where the WiFi connected with the mobile terminal is located, the method is more compatible, and the user experience degree is higher.
Referring to fig. 2, fig. 2 is a schematic flowchart illustrating a second WiFi disconnection adjustment method according to an embodiment of the present application. As will be explained in detail with respect to the flow shown in fig. 2, the method may specifically include the following steps:
step S201: detecting an error vector magnitude for each of a plurality of WiFi channels supported by the mobile terminal.
The error vector magnitude of the mobile terminal on the supported WiFi channel may be obtained during use, or may be obtained by testing before the mobile terminal leaves a factory. Specifically, when the error vector magnitude of the mobile terminal on the supported WiFi channel is obtained by a pre-factory test, then before the mobile terminal leaves the factory, a test environment is pre-established, for example, other influence factors, except the error vector magnitude, which influence the communication quality of the mobile terminal on the WiFi channel are fixed and unchanged, and then the error vector magnitude of each WiFi channel supported by the mobile terminal is tested, so as to obtain the error vector magnitude of each WiFi channel supported by the mobile terminal.
For example, if the WiFi channels supported by the mobile terminal include all WiFi channels in the 1 to 13 channels, the error vector magnitudes of the mobile terminal on the 13 WiFi channels are respectively obtained, for example, the error vector magnitude of the mobile terminal on the 1 channel is-27, the error vector magnitude on the 2 channel is-30, and the like, which is not specifically limited herein.
Step S202: and storing the error vector magnitude of each WiFi channel to the mobile terminal.
It can be understood that, by the above manner, the error vector magnitude of the mobile terminal on each WiFi channel can be obtained, and the error vector magnitude of each WiFi channel is stored in the mobile terminal, so that when the mobile terminal is used after leaving a factory, the error vector magnitude of each WiFi channel can be directly obtained from the mobile terminal, so as to accelerate the obtaining speed.
Step S203: and establishing and storing a mapping relation between the error vector magnitude of each WiFi channel and a beacon timeout value.
Further, in this embodiment, before the mobile terminal leaves the factory, a mapping relationship between the error vector magnitude of each WiFi channel and the beacon timeout is established, and the mapping relationship between the error vector magnitude and the beacon timeout is stored in the mobile terminal, so that when the mobile terminal is used, the beacon timeout is obtained locally through the error vector magnitude of the WiFi channel directly, and the obtaining speed is accelerated. Optionally, in this embodiment, the error vector magnitude of the WiFi channel has a positive correlation with beacon timeout, as shown in table 2.
Referring to fig. 3, fig. 3 is a flowchart illustrating a step S203 of a WiFi disconnection adjustment method according to an embodiment of the present application. As will be explained in detail with respect to the flow shown in fig. 3, the method may specifically include the following steps:
step S2031: and scoring the communication quality of each WiFi channel based on the error vector magnitude of each WiFi channel to obtain the communication quality score value of each WiFi channel.
As an implementable manner, after the error vector magnitude of each WiFi channel is obtained, the communication quality of each WiFi channel is scored to obtain the communication quality score value of each WiFi channel, and it can be understood that the error vector magnitude is a negative value, and the smaller the error vector magnitude is, the better the communication quality of the WiFi channel is, and therefore, the higher the corresponding communication quality score value is; conversely, the larger the error vector magnitude, the worse the WiFi channel communication quality, and therefore, the lower its corresponding communication quality score value, e.g., 90 when the error vector magnitude is-30; when the magnitude of the error vector is-20, the communication quality score value is 80, and the like, which is not limited herein.
Step S2032: establishing and storing a mapping relation between the error vector magnitude of each WiFi channel and the beacon timeout value based on the communication quality score value of each WiFi channel, wherein the communication quality score value is negatively related to the beacon timeout value.
Further, in this embodiment, before the mobile terminal leaves the factory, a mapping relationship between the error vector magnitude, the communication quality score value, and the beacon timeout of each WiFi channel may be established, and the mapping relationship between the error vector magnitude, the communication quality score value, and the beacon timeout is stored in the mobile terminal, so that when the mobile terminal is used, the beacon timeout is directly obtained locally, and the obtaining speed is increased. As one way, as shown in table 3, it can be seen from table 3 that the higher the communication quality score value is, the shorter the corresponding beacon timeout is, and the lower the communication quality score value is, the longer the corresponding beacon timeout is, i.e., the communication quality score value is negatively correlated with the number of connection attempts.
For example, if the EVM is-30, the communication quality of the WiFi channel is characterized to be good, beacon timeout is set to 7s, and when no beacon frame is received in 7s, it may be considered that the mobile terminal has left the coverage of the WiFi, or the WiFi fails; if the EVM is-5, the communication quality of the WiFi channel is characterized to be poor, the signal transmission rate is slow, the beacon timeout may be set to 10s, and if the beacon frame is not received within 10s, it is considered that the mobile terminal has left the coverage of the WiFi, or the WiFi fails.
TABLE 3
Figure BDA0001693440570000071
Figure BDA0001693440570000081
Step S204: and detecting a WiFi channel where WiFi connected with the mobile terminal is located.
Step S205: and acquiring the error vector magnitude of the mobile terminal in the WiFi channel.
Step S206: adjusting a beacon timeout value between the mobile terminal and the WiFi based on the error vector magnitude, wherein the error vector magnitude of the WiFi channel is positively correlated with the beacon timeout value.
Step S207: and when the mobile terminal does not receive the beacon frame within the beacon timeout value, controlling the mobile terminal to disconnect with the WiFi.
In this embodiment, if the mobile terminal does not receive the beacon frame at the set beacon timeout, the connection between the mobile terminal and the WiFi is disconnected.
Step S208: and acquiring the automatic disconnection times of the mobile terminal and the WiFi within preset time.
It is understood that after the mobile terminal is disconnected from the WiFi, all WiFi attempts covering the mobile terminal are rescanned to connect, and therefore, the mobile terminal may rescan and connect to the WiFi after being disconnected from the WiFi. In this embodiment, the number of times of automatic disconnection between the mobile terminal and the WiFi is detected within a preset time, where the preset time may be configured by a system or set by a user, and is not limited herein.
Step S209: and judging whether the automatic disconnection times are greater than preset times.
As a mode, the mobile terminal presets and stores preset times, where the preset times are used as a criterion for determining the automatic disconnection times. Specifically, when the automatic disconnection times of the mobile terminal and the WiFi within the preset time are detected, the automatic disconnection times are compared with the preset times to judge whether the automatic disconnection times are greater than the preset times, when the automatic disconnection times are greater than the preset times, the WiFi is represented to have a fault, and then fault prompt information is displayed and reported, so that a user can conveniently know the WiFi condition in time and solve the WiFi fault in time.
Step S210: and when the automatic disconnection times are greater than the preset times, displaying and reporting fault prompt information.
As a mode, when the number of times of automatic disconnection between the mobile terminal and the WiFi is greater than the preset number of times, in addition to displaying and reporting the fault prompt information, the WiFi channels are sorted based on the error vector magnitude of each WiFi channel acquired in advance to obtain the current WiFi channel sorting. It can be understood that the error vector magnitude is a negative value, and the smaller the error vector is, the better the communication quality of the mobile terminal in the WiFi channel is characterized, therefore, the WiFi channels may be sorted based on the magnitude of the error vector magnitude of the WiFi channels, specifically, by comparing the magnitude of the error vector magnitude of each WiFi channel, the WiFi channels are sorted according to the comparison result.
As one way, as shown in table 4, the WiFi channels may be sorted from small to large according to the error vector magnitude of each WiFi channel, and as can be seen from table 4, the smaller the EVM value is, the earlier the corresponding WiFi channel is sorted, and the larger the EVM value is, the later the corresponding WiFi channel is sorted.
TABLE 4
EVM value Sorting
-30 1
-20 2
-10 3
-5 4
In this embodiment, the WiFi channels are sequentially scanned based on the current WiFi channel sequence, and it can be understood that the scanning sequence is sequentially scanning from the WiFi channel with the highest sequence to the WiFi channel with the lowest sequence, where if a connectable WiFi access point is scanned in the WiFi channel with the highest sequence, the scanning is not continued, so as to improve the success rate of the mobile terminal for accessing the mobile terminal with better communication quality, and reduce the power consumption of the mobile terminal due to the scanning.
The second WiFi disconnection adjusting method provided in this application embodiment detects an error vector magnitude of each WiFi channel in a plurality of WiFi channels supported by a mobile terminal, stores the error vector magnitude of each WiFi channel to the mobile terminal, establishes and stores a mapping relationship between the error vector magnitude of each WiFi channel and a beacon timeout value, detects a WiFi channel where WiFi connected to the mobile terminal is located, obtains the error vector magnitude of the mobile terminal in the WiFi channel, adjusts the beacon timeout value between the mobile terminal and the WiFi based on the error vector magnitude, controls the mobile terminal to disconnect from the WiFi when the mobile terminal does not receive a beacon frame in the beacon timeout value, obtains an automatic disconnection number of the mobile terminal and the WiFi in a preset time, determines whether the automatic disconnection number is greater than the preset number, and when the automatic disconnection number is greater than the preset number, and displaying and reporting the fault prompt information, so that compared with the first WiFi disconnection adjusting method, the method not only can quickly acquire the beacon timeout value, but also can reflect the disconnection condition of the mobile terminal and the WiFi in time.
Referring to fig. 4, fig. 4 is a block diagram illustrating a first WiFi disconnection adjusting apparatus 200 according to an embodiment of the present application. As will be explained below with respect to the block diagram shown in fig. 4, the WiFi disconnection adjusting apparatus 200 includes: a WiFi channel detection module 201, a current error vector magnitude acquisition module 202, and a beacon timeout value determination module 203, where:
and the WiFi channel detection module 201 is configured to detect a WiFi channel where WiFi connected to the mobile terminal is located.
A current error vector magnitude obtaining module 202, configured to obtain an error vector magnitude of the mobile terminal in the WiFi channel.
A beacon timeout value determining module 203, configured to adjust a beacon timeout value between the mobile terminal and the WiFi based on the error vector magnitude, wherein the error vector magnitude of the WiFi channel is positively correlated with the beacon timeout value.
Referring to fig. 5, fig. 5 is a block diagram illustrating a second WiFi disconnection adjusting apparatus 300 according to an embodiment of the present application. As will be explained below with respect to the block diagram shown in fig. 5, the WiFi disconnection adjusting apparatus 300 includes: an error vector magnitude detection module 301, an error vector magnitude saving module 302, a mapping relationship establishment module 303, a WiFi channel detection module 304, an error vector magnitude acquisition module 305, a beacon timeout value determination module 306, a disconnection control module 307, a disconnection number acquisition module 308, a disconnection number determination module 309, and a fault notification module 310, where:
an error vector magnitude detection module 301, configured to detect an error vector magnitude of each WiFi channel in a plurality of WiFi channels supported by the mobile terminal.
An error vector magnitude saving module 302, configured to save the error vector magnitude of each WiFi channel to the mobile terminal.
And the mapping relation establishing module 303 is configured to establish and store a mapping relation between the error vector magnitude of each WiFi channel and the beacon timeout value. Further, the mapping relationship establishing module 303 includes: a communication quality score value obtaining unit and a mapping relationship establishing unit, wherein:
and the communication quality score value obtaining unit is used for scoring the communication quality of each WiFi channel based on the error vector amplitude of each WiFi channel to obtain the communication quality score value of each WiFi channel.
And the mapping relation establishing unit is used for establishing and storing the mapping relation between the error vector magnitude of each WiFi channel and the beacon timeout value on the basis of the communication quality score value of each WiFi channel, wherein the communication quality score value is in negative correlation with the beacon timeout value.
And a WiFi channel detection module 304, configured to detect a WiFi channel where WiFi connected to the mobile terminal is located.
An error vector magnitude obtaining module 305, configured to obtain an error vector magnitude of the mobile terminal in the WiFi channel.
A beacon timeout value determining module 306, configured to adjust a beacon timeout value between the mobile terminal and the WiFi based on the error vector magnitude, wherein the error vector magnitude of the WiFi channel is positively correlated with the beacon timeout value.
A disconnection control module 307, configured to control the mobile terminal to disconnect from the WiFi when the mobile terminal does not receive a beacon frame within the beacon timeout value.
A disconnection number obtaining module 308, configured to obtain the number of automatic disconnections between the mobile terminal and the WiFi in a preset time.
A disconnection time number judging module 309, configured to judge whether the automatic disconnection time number is greater than a preset time number.
And the fault prompting module 310 is configured to display and report fault prompting information when the number of times of automatic disconnection is greater than the preset number of times.
Further, the WiFi disconnection adjusting apparatus 300 may further include:
and the current WiFi channel sequencing acquisition module is used for sequencing the plurality of WiFi channels based on the error vector magnitude of each WiFi channel when the automatic disconnection times are greater than the preset times, so as to acquire the current WiFi channel sequencing.
And the WiFi channel scanning module is used for scanning the plurality of WiFi channels in sequence based on the current WiFi channel sequence.
To sum up, a WiFi disconnection adjustment method, apparatus, mobile terminal and storage medium provided in the embodiments of the present application detect a WiFi channel where WiFi connected to the mobile terminal is located, obtain an error vector magnitude of the mobile terminal in the WiFi channel, adjust a beacon timeout value between the mobile terminal and the WiFi based on the error vector magnitude, where the error vector magnitude of the WiFi channel is positively correlated with the beacon timeout value, so that a beacon timeout value between the mobile terminal and the connected WiFi is configured through the error vector magnitude of the WiFi channel where WiFi connected to the mobile terminal is located, which is more compatible and higher in user experience.
It should be noted that, in the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. For the device-like embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment. For any processing manner described in the method embodiment, all the processing manners may be implemented by corresponding processing modules in the apparatus embodiment, and details in the apparatus embodiment are not described again.
Referring to fig. 6 again, based on the WiFi disconnection adjustment method and apparatus, the embodiment of the present application further provides a mobile terminal 100, which includes an electronic body 10, where the electronic body 10 includes a housing 12 and a main display 120 disposed on the housing 12. The housing 12 may be made of metal, such as steel or aluminum alloy. In this embodiment, the main display 120 generally includes a display panel 111, and may also include a circuit or the like for responding to a touch operation performed on the display panel 111. The Display panel 111 may be a Liquid Crystal Display (LCD), and in some embodiments, the Display panel 111 is a Display screen 109.
Referring to fig. 7, in an actual application scenario, the mobile terminal 100 may be used as a smart phone terminal, in which case the electronic body 10 generally further includes one or more processors 102 (only one is shown in the figure), a memory 104, an RF (Radio Frequency) module 106, an audio circuit 110, a sensor 114, an input module 118, and a power module 122. It will be understood by those skilled in the art that the structure shown in fig. 7 is merely illustrative and is not intended to limit the structure of the electronic body 10. For example, the electronics body section 10 may also include more or fewer components than shown in FIG. 7, or have a different configuration than shown in FIG. 7.
Those skilled in the art will appreciate that all other components are peripheral devices with respect to the processor 102, and the processor 102 is coupled to the peripheral devices through a plurality of peripheral interfaces 124. The peripheral interface 124 may be implemented based on the following criteria: universal Asynchronous Receiver/Transmitter (UART), General Purpose Input/Output (GPIO), Serial Peripheral Interface (SPI), and Inter-Integrated Circuit (I2C), but the present invention is not limited to these standards. In some examples, the peripheral interface 124 may comprise only a bus; in other examples, the peripheral interface 124 may also include other elements, such as one or more controllers, for example, a display controller for interfacing with the display panel 111 or a memory controller for interfacing with a memory. These controllers may also be separate from the peripheral interface 124 and integrated within the processor 102 or a corresponding peripheral.
The memory 104 may be used to store software programs and modules, and the processor 102 executes various functional applications and data processing by executing the software programs and modules stored in the memory 104. For example, the memory 104 stores software programs and modules corresponding to the WiFi disconnection adjustment method provided in the foregoing embodiment, and the processor 102 executes the WiFi disconnection adjustment method provided in the foregoing embodiment when running the software programs and modules of the WiFi disconnection adjustment method provided in the foregoing embodiment. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory located remotely from the processor 102, which may be connected to the electronic body portion 10 or the primary display 120 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The RF module 106 is used for receiving and transmitting electromagnetic waves, and implementing interconversion between the electromagnetic waves and electrical signals, so as to communicate with a communication network or other devices. The RF module 106 may include various existing circuit elements for performing these functions, such as an antenna, a radio frequency transceiver, a digital signal processor, an encryption/decryption chip, a Subscriber Identity Module (SIM) card, memory, and so forth. The RF module 106 may communicate with various networks such as the internet, an intranet, a wireless network, or with other devices via a wireless network. The wireless network may comprise a cellular telephone network, a wireless local area network, or a metropolitan area network. The wireless network may use various Communication standards, protocols and technologies, including but not limited to Global System for Mobile Communication (GSM), Enhanced Data GSM Environment (EDGE), wideband Code division multiple Access (W-CDMA), Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Voice over internet protocol (VoIP), Global Microwave internet Access (Wi-Max), other protocols for mail, instant messaging and short messaging, and any other suitable Communication protocols, and may even include those protocols that have not yet been developed.
The WiFi module 125 is configured to transmit or receive a WiFi signal, and in particular, may establish a communication connection with a peripheral device through a Wireless Fidelity (WiFi) protocol (e.g., IEEE 802.10A, IEEE802.11 b, IEEE802.11g, and/or IEEE802.11n standards of the institute of electrical and electronics engineers), and the WiFi module 501 may include a power amplifier, a Wireless transceiver, a transceiver switch, a low noise amplifier, an antenna, and the like. When sending signals, the transceiver itself will directly output a low-Power weak rf signal, which is sent to a Power Amplifier (PA) for Power amplification, and then radiated to the space through an Antenna (Antenna) by a Transmit/Receive Switch (Transmit/Receive Switch). When receiving signals, the antenna senses electromagnetic signals in the space, and the electromagnetic signals are sent to a Low Noise Amplifier (LNA) for amplification after passing through the switcher, so that the amplified signals can be directly sent to the transceiver for processing and demodulation.
The audio circuitry 110, earpiece 101, sound jack 103, microphone 105 collectively provide an audio interface between a user and the electronic body portion 10 or the main display 120. Specifically, the audio circuit 110 receives sound data from the processor 102, converts the sound data into an electrical signal, and transmits the electrical signal to the earpiece 101. The earpiece 101 converts the electrical signal into sound waves that can be heard by the human ear. The audio circuitry 110 also receives electrical signals from the microphone 105, converts the electrical signals to sound data, and transmits the sound data to the processor 102 for further processing. Audio data may be retrieved from the memory 104 or through the RF module 106. In addition, audio data may also be stored in the memory 104 or transmitted through the RF module 106.
The sensor 114 is disposed in the electronic body portion 10 or the main display 120, examples of the sensor 114 include, but are not limited to: light sensors, operational sensors, pressure sensors, gravitational acceleration sensors, and other sensors.
Specifically, the sensors 114 may include a light sensor 114F and a pressure sensor 114G. Among them, the pressure sensor 114G may detect a pressure generated by pressing on the mobile terminal 100. That is, the pressure sensor 114G detects pressure generated by contact or pressing between the user and the mobile terminal, for example, contact or pressing between the user's ear and the mobile terminal. Accordingly, the pressure sensor 114G may be used to determine whether contact or pressing has occurred between the user and the mobile terminal 100, as well as the magnitude of the pressure.
Referring to fig. 7 again, in the embodiment shown in fig. 7, the light sensor 114F and the pressure sensor 114G are disposed adjacent to the display panel 111. The light sensor 114F may turn off the display output when an object is near the main display 120, for example, when the electronic body portion 10 moves to the ear.
As one of the motion sensors, the gravity acceleration sensor can detect the magnitude of acceleration in various directions (generally three axes), detect the magnitude and direction of gravity when stationary, and can be used for applications (such as horizontal and vertical screen switching, related games, magnetometer attitude calibration), vibration recognition related functions (such as pedometer, tapping) and the like for recognizing the attitude of the mobile terminal 100. In addition, the electronic body 10 may also be configured with other sensors such as a gyroscope, a barometer, a hygrometer and a thermometer, which are not described herein,
in this embodiment, the input module 118 may include the display screen 109 disposed on the main display screen 120, and the display screen 109 may collect touch operations of the user (for example, operations of the user on or near the display screen 109 using any suitable object or accessory such as a finger, a stylus, etc.) and drive the corresponding connection device according to a preset program. Optionally, the display screen 109 may include a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch detection device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 102, and can receive and execute commands sent by the processor 102. In addition, various types such as resistive, capacitive, infrared, and surface acoustic wave can be used to implement the touch detection function of the display screen 109. In addition to the display 109, in other variations, the input module 118 may include other input devices, such as keys 107. The keys 107 may include, for example, character keys for inputting characters, and control keys for activating control functions. Examples of such control keys include a "back to home" key, a power on/off key, and the like.
The main display 120 is used to display information input by a user, information provided to the user, and various graphic user interfaces of the electronic main body part 10, which may be composed of graphics, text, icons, numbers, video, and any combination thereof, and in one example, the display 109 may be provided on the display panel 111 so as to be integrated with the display panel 111.
The power module 122 is used to provide power supply to the processor 102 and other components. Specifically, the power module 122 may include a power management system, one or more power sources (e.g., batteries or ac power), a charging circuit, a power failure detection circuit, an inverter, a power status indicator light, and any other components associated with the generation, management, and distribution of power within the electronic body portion 10 or the primary display 120.
The mobile terminal 100 further comprises a locator 119, the locator 119 being configured to determine an actual location of the mobile terminal 100. In this embodiment, the locator 119 implements the positioning of the mobile terminal 100 by using a positioning service, which is understood to be a technology or a service for obtaining the position information (e.g., longitude and latitude coordinates) of the mobile terminal 100 by using a specific positioning technology and marking the position of the positioned object on an electronic map.
It should be understood that the mobile terminal 100 described above is not limited to a smartphone terminal, but it should refer to a computer device that can be used in mobility. Specifically, the mobile terminal 100 refers to a mobile computer device equipped with an intelligent operating system, and the mobile terminal 100 includes, but is not limited to, a smart phone, a smart watch, a tablet computer, and the like.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (mobile terminal) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments. In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not necessarily depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims (10)

1. A WiFi disconnection adjustment method, comprising:
detecting a WiFi channel where WiFi connected with a mobile terminal is located;
acquiring the error vector magnitude of the mobile terminal in the WiFi channel;
and adjusting a beacon timeout value between the mobile terminal and the WiFi based on the error vector magnitude, wherein the error vector magnitude of the WiFi channel is positively correlated with the beacon timeout value, and the beacon timeout value refers to a disconnection duration when no beacon frame is continuously received within a certain time.
2. The method of claim 1, wherein after determining the beacon timeout value between the mobile terminal and the WiFi based on the error vector magnitude, further comprising:
and when the mobile terminal does not receive the beacon frame within the beacon timeout value, controlling the mobile terminal to disconnect with the WiFi.
3. The method of claim 2, wherein before detecting the WiFi channel in which the WiFi connected to the mobile terminal is located, further comprising:
detecting an error vector magnitude for each of a plurality of WiFi channels supported by the mobile terminal;
and storing the error vector magnitude of each WiFi channel to the mobile terminal.
4. The method of claim 3, wherein after saving the error vector magnitude of each WiFi channel to the mobile terminal, further comprising:
and establishing and storing a mapping relation between the error vector magnitude of each WiFi channel and a beacon timeout value.
5. The method of claim 4, wherein establishing and storing a mapping between the error vector magnitude and a beacon timeout value for each WiFi channel comprises:
grading the communication quality of each WiFi channel based on the error vector magnitude of each WiFi channel to obtain a communication quality grading value of each WiFi channel;
establishing and storing a mapping relation between the error vector magnitude of each WiFi channel and the beacon timeout value based on the communication quality score value of each WiFi channel, wherein the communication quality score value is negatively related to the beacon timeout value.
6. The method of claim 3, wherein after controlling the mobile terminal to disconnect from the WiFi when the mobile terminal does not receive a beacon frame within a current beacon timeout value, further comprising:
acquiring the automatic disconnection times of the mobile terminal and the WiFi within preset time;
judging whether the automatic disconnection times are greater than preset times or not;
and when the automatic disconnection times are greater than the preset times, displaying and reporting fault prompt information.
7. The method of claim 6, further comprising:
when the automatic disconnection times are larger than the preset times, sequencing the plurality of WiFi channels based on the error vector magnitude of each WiFi channel to obtain the current WiFi channel sequencing;
and sequentially scanning the plurality of WiFi channels based on the current WiFi channel sequence.
8. A WiFi disconnect adjustment apparatus, the apparatus comprising:
the WiFi channel detection module is used for detecting a WiFi channel where WiFi connected with the mobile terminal is located;
an error vector magnitude obtaining module, configured to obtain an error vector magnitude of the mobile terminal in the WiFi channel;
a beacon timeout value determining module, configured to adjust a beacon timeout value between the mobile terminal and the WiFi based on the error vector magnitude, where the error vector magnitude of the WiFi channel is positively correlated with the beacon timeout value, and the beacon timeout value is a time length of disconnection when no beacon frame is received continuously within a certain time.
9. A mobile terminal comprising a display, a memory, and a processor, the display and the memory coupled to the processor, the memory storing instructions that, when executed by the processor, the processor performs the method of any of claims 1-7.
10. A computer-readable storage medium having program code executable by a processor, the program code causing the processor to perform the method of any one of claims 1-7.
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