CN108471622B

CN108471622B - WiFi connection adjustment method and device, mobile terminal and storage medium

Info

Publication number: CN108471622B
Application number: CN201810603647.1A
Authority: CN
Inventors: 俞义
Original assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Current assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date: 2018-06-12
Filing date: 2018-06-12
Publication date: 2021-08-17
Anticipated expiration: 2038-06-12
Also published as: CN108471622A

Abstract

The embodiment of the application discloses a WiFi connection adjusting method, a WiFi connection 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 each WiFi to be connected in a plurality of WiFi to be connected is located, obtaining the error vector amplitude of the mobile terminal on the WiFi channel where each WiFi to be connected is located, and adjusting the priority of the plurality of WiFi to be connected based on the error vector amplitude of the WiFi channel where each WiFi to be connected is located. The WiFi connection adjusting method, the WiFi connection adjusting device, the mobile terminal and the storage medium adjust the priorities of the WiFi to be connected through the error vector amplitudes of the channels where the WiFi to be connected is located of the mobile terminal, and therefore the WiFi connection accuracy and the WiFi connection success rate are improved.

Description

WiFi connection adjustment 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 connection adjustment method, apparatus, mobile terminal, and storage medium.

Background

When the mobile terminal starts the wlan function, the mobile terminal attempts to connect to a Wireless Fidelity (WiFi) hotspot of the surrounding environment. At present, the process of connecting WiFi is to determine based on factors such as signal strength of a route, whether internet access is available or whether 5G is available, and obtain a connection priority of an optional route, and select a highest priority route from the ranked priorities for connection.

Disclosure of Invention

In view of the above problems, the present application provides a WiFi connection adjustment method, apparatus, mobile terminal and storage medium, which adjust the priority of a plurality of WiFi to be connected through the error vector magnitude of a plurality of channels where the WiFi to be connected is located of the mobile terminal, and improve WiFi connection accuracy and success rate.

In a first aspect, an embodiment of the present application provides a WiFi connection adjustment method, where the method includes: detecting a WiFi channel where each WiFi to be connected in a plurality of WiFi to be connected is located; acquiring the error vector amplitude of the mobile terminal in the WiFi channel where each WiFi to be connected is located; and adjusting the priorities of the plurality of WiFi to be connected based on the error vector magnitude of the WiFi channel where each WiFi to be connected is located.

In a second aspect, an embodiment of the present application provides a WiFi connection adjusting apparatus, where the apparatus includes: the WiFi channel detection module is used for detecting a WiFi channel where each WiFi to be connected in the plurality of WiFi to be connected is located; the error vector amplitude acquisition module is used for acquiring the error vector amplitude of the mobile terminal on the WiFi channel where each WiFi to be connected is located; and the priority adjusting module is used for adjusting the priorities of the plurality of WiFi to be connected based on the error vector magnitude of the WiFi channel where each WiFi to be connected is located.

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 connection adjustment method, a device, a mobile terminal and a storage medium, a WiFi channel where each WiFi to be connected in a plurality of WiFi to be connected is located is detected, the error vector amplitude of the mobile terminal on the WiFi channel where each WiFi to be connected is located is obtained, the priorities of the plurality of WiFi to be connected are adjusted based on the error vector amplitude of the WiFi channel where each WiFi to be connected is located, therefore, the priorities of the plurality of WiFi to be connected are adjusted through the error vector amplitudes of the plurality of WiFi channels where the WiFi to be connected is located of the mobile terminal, and the WiFi connection accuracy and the success rate are improved.

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 connection adjustment method provided in an embodiment of the present application;

fig. 2 is a flowchart illustrating a second WiFi connection adjustment method provided in an embodiment of the present application;

fig. 3 shows a block diagram of a first WiFi connection adjustment apparatus provided in an embodiment of the present application;

fig. 4 shows a block diagram of a second WiFi connection adjustment apparatus provided in the embodiments of the present application;

fig. 5 is a schematic structural diagram of a mobile terminal according to an embodiment of the present application;

fig. 6 shows a block diagram of a mobile terminal for performing a WiFi connection 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, the wireless local area network WiFi has become a standard configuration of various mobile terminals, and through the configuration, the mobile terminal can connect with a WiFi hotspot nearby and surf the internet by using the WiFi hotspot. At present, the process of connecting WiFi is to determine based on factors such as signal strength of a route, whether internet access is available or whether 5G is available, and obtain a connection priority of an optional route, and select a highest priority route from the ranked priorities for connection. In view of the above problems, the inventor provides a WiFi connection adjustment method, device, mobile terminal and storage medium provided in this embodiment of the present application, and adjusts priorities of a plurality of to-be-connected WiFi devices according to error vector magnitudes of a plurality of channels where to-be-connected WiFi devices are located in the mobile terminal, so as to improve WiFi connection accuracy and success rate. The specific WiFi connection 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 connection adjustment method according to an embodiment of the present disclosure. The WiFi connection adjusting method is used for adjusting the priorities of the WiFi to be connected through the error vector amplitudes of the mobile terminal on the channels where the WiFi to be connected is located, and the WiFi connection accuracy and success rate are improved. In a specific embodiment, the WiFi connection adjustment method is applied to the WiFi connection adjustment apparatus 200 shown in fig. 3 and a mobile terminal configured with the WiFi connection adjustment apparatus 200 (fig. 5). 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 connection adjustment method may specifically include the following steps:

step S110: and detecting a WiFi channel where each WiFi to be connected in the plurality of WiFi to be connected 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 WiFi channels supported by the mobile terminal to obtain WiFi access points on each WiFi channel in a plurality of scanned WiFi channels, where the WiFi access points are used as WiFi to be connected, it is understood that there are zero WiFi to be connected, one WiFi to be connected, or a plurality of WiFi to be connected. Specifically, after a plurality of to-be-connected WiFi are determined, a WiFi channel where each to-be-connected WiFi in the plurality of to-be-connected WiFi is located is detected to obtain a WiFi channel where each to-be-detected WiFi is located.

Step S120: and acquiring the error vector amplitude of the mobile terminal in the WiFi channel where each WiFi to be connected is located.

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, the error vector magnitude of the mobile terminal in each WiFi channel where the WiFi to be connected is located is obtained, for example, if the WiFi channel where the WiFi to be connected is located includes 1 channel, 6 channel, and 11 channel, the error vector magnitudes of the mobile terminal in the 1 channel, 6 channel, and 11 channel are respectively obtained by calculation, for example, the error vector magnitude of the mobile terminal in the 1 channel is-27, the error vector magnitude in the 6 channel is-30, and the error vector magnitude in the 11 channel is-25, etc., which is not specifically limited herein.

Step S130: and adjusting the priorities of the plurality of WiFi to be connected based on the error vector magnitude of the WiFi channel where each WiFi to be connected is located.

After the error vector amplitude of the WiFi channel where each WiFi to be connected is located is obtained, priority ordering is conducted on the WiFi to be connected based on the error vector amplitude, and the original priority of the WiFi to be connected is adjusted according to the priority ordering. 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 represented, so that the priorities of the multiple WiFi to be connected can be obtained based on the magnitudes of the error vector magnitudes of the multiple WiFi channels, specifically, by comparing the magnitudes of the error vector magnitudes of each WiFi channel, and then sorting the priorities of the multiple WiFi to be connected according to the comparison result.

As one manner, as shown in table 1, the multiple WiFi to be connected may be ranked from high to low in priority according to the error vector magnitude of each WiFi channel, and as can be seen from table 1, the smaller the EVM value is, the higher the priority score of the corresponding WiFi to be connected is, the higher the priority is, and the larger the EVM value is, the lower the priority score of the corresponding WiFi to be connected is, the lower the priority is.

TABLE 1

EVM value	Priority score	Priority level
			-30	-1	1
-27	-5	2
			-10	-8	3
-5	-10	4

Further, based on the priorities of a plurality of WiFi to be connected, when the mobile terminal is connected with the WiFi to be connected, the mobile terminal is firstly connected with the WiFi to be connected with the highest priority, and if the connection fails, the mobile terminal is connected with the WiFi to be connected with the second priority, and so on.

As a mode, when the error vector magnitudes of WiFi channels where part of WiFi to be connected in a plurality of WiFi to be connected are located are equal, respectively detecting historical data of the part of WiFi to be connected, where the historical data may include historical signal strength, historical transmission rate, and the like of the part of WiFi to be connected, and then scoring each WiFi to be connected based on the obtained historical data of each WiFi to be connected, it can be understood that WiFi to be connected with a high score is ranked before WiFi to be connected with a low score, and specifically, WiFi to be connected with a high historical signal strength is ranked before WiFi to be connected with a low historical signal strength; the WiFi to be connected with the high historical transmission rate is sequenced before the WiFi to be connected with the low historical transmission rate.

In addition, when the error vector amplitudes of part of the to-be-connected WiFi in the plurality of to-be-connected WiFi are equal, historical data of the part of to-be-connected WiFi are detected respectively, whether the part of the to-be-connected WiFi has the to-be-connected WiFi which is connected with the mobile terminal is judged, and the to-be-connected WiFi which is connected with the mobile terminal is sequenced before the part of the to-be-connected WiFi which is not connected with the mobile terminal.

The first WiFi connection adjusting method provided by the embodiment of the application detects a WiFi channel where each WiFi to be connected in a plurality of WiFi to be connected is located, obtains the error vector amplitude of a mobile terminal on the WiFi channel where each WiFi to be connected is located, adjusts the priorities of the plurality of WiFi to be connected based on the error vector amplitude of the WiFi channel where each WiFi to be connected is located, thereby adjusting the priorities of the plurality of WiFi to be connected through the error vector amplitudes of the plurality of channels where the WiFi to be connected is located of the mobile terminal, and improving the WiFi connection accuracy and the success rate.

Referring to fig. 2, fig. 2 is a schematic flowchart illustrating a second WiFi connection adjustment method according to an embodiment of the present disclosure. As will be explained in detail with respect to the flow shown in fig. 2, the method may specifically include the following steps:

step S210: detecting an error vector magnitude for each of a plurality of WiFi channels supported by the mobile terminal.

The obtaining of 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 S220: 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 S230: and obtaining the scoring value of each WiFi channel based on the error vector amplitude of each WiFi channel, wherein the error vector amplitude of each WiFi channel is in negative correlation with the scoring value.

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 a score value of each WiFi channel, wherein the error vector magnitude of each WiFi channel is negatively related to the score value, the error vector magnitude is a negative value, and the smaller the error vector magnitude, the better the communication quality of the WiFi channel, and therefore, the higher the corresponding score value is; conversely, the larger the error vector magnitude, the worse the WiFi channel communication quality, and therefore, the lower its corresponding score value, e.g., 90 when the error vector magnitude is-30; when the magnitude of the error vector is-20, the score value is 80, etc., and is not particularly limited herein.

Step S240: and sorting the plurality of WiFi channels from high to low according to the scores of the WiFi channels from high to low in priority order, and obtaining the priority order.

As one way, as shown in table 2, the plurality of WiFi channels may be sorted from high to low in the score value, and as can be seen from table 2, the higher the score value is, the higher the corresponding priority is, and the lower the communication quality score value is, the lower the corresponding priority is.

TABLE 2

Step S250: and detecting a WiFi channel where each WiFi to be connected in the plurality of WiFi to be connected is located.

Step S260: and acquiring the error vector amplitude of the mobile terminal in the WiFi channel where each WiFi to be connected is located.

Step S270: and searching a score value corresponding to the error vector amplitude of the WiFi channel where each WiFi to be connected is located.

Step S280: searching the priority sequence of the WiFi to be connected from the priority sequence based on the credit values, and adjusting the priority of the WiFi to be connected based on the priority sequence.

In the using process of the mobile terminal, when a WiFi channel where each WiFi to be connected in the plurality of WiFi to be connected is located is detected, the error vector amplitude of each WiFi channel stored in the mobile terminal before leaving a factory is obtained, then a score value corresponding to each error vector amplitude is obtained, and then a priority sequence corresponding to each WiFi to be connected is searched from the priority sequence stored in the mobile terminal through the score value, so that the priority of the plurality of WiFi to be connected is adjusted through the priority sequence, the WiFi to be connected with the highest priority of the mobile terminal is connected preferentially, and the WiFi connection success rate is improved.

Step S290: and acquiring the WiFi to be connected with the highest priority, and establishing connection with the WiFi to be connected with the highest priority.

In this embodiment, the mobile terminal starts to attempt connection from the WiFi to be connected with the highest priority, and if the WiFi to be connected with the highest priority is not successfully connected, the mobile terminal starts to attempt connection to the WiFi to be connected with the second priority, and so on. In this embodiment, if the WiFi to be connected with the highest priority is connectable, the WiFi to be connected with the highest priority is acquired, and a connection is established with the WiFi to be connected with the highest priority.

The second WiFi connection adjusting method provided in the embodiment of the application 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, obtains a score value of each WiFi channel based on the error vector magnitude of each WiFi channel, sorts the WiFi channels from high to low in priority according to the score value of each WiFi channel to obtain priority ranking, detects a channel where each WiFi to be connected in the WiFi to be connected is located, obtains an error vector magnitude of the mobile terminal in the channel where each WiFi to be connected is located, finds a score value corresponding to the error vector magnitude of the WiFi channel where each WiFi to be connected is located, finds a priority order of the WiFi to be connected from the priority ranking based on the score value, and adjusts priorities of the WiFi to be connected based on the priority order, and obtaining the WiFi to be connected with the highest priority and establishing connection, so that compared with the first WiFi connection adjusting method, the method can quickly obtain the priority of the WiFi channel from the mobile terminal and improve the WiFi connection speed.

Referring to fig. 3, fig. 3 is a block diagram illustrating a first WiFi connection adjustment apparatus 200 according to an embodiment of the present application. As will be explained below with respect to the block diagram shown in fig. 3, the WiFi connection adjusting apparatus 200 includes: a WiFi channel detection module 210, an error vector magnitude acquisition module 220, and a priority adjustment module 230, wherein:

the WiFi channel detecting module 210 is configured to detect a WiFi channel where each WiFi to be connected in the multiple WiFi to be connected is located.

An error vector magnitude obtaining module 220, configured to obtain an error vector magnitude of the mobile terminal in the WiFi channel where each WiFi to be connected is located.

A priority adjusting module 230, configured to adjust priorities of the multiple WiFi to be connected based on an error vector magnitude of a WiFi channel where each WiFi to be connected is located.

Referring to fig. 4, fig. 4 is a block diagram illustrating a second WiFi connection adjustment apparatus 300 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 connection adjusting apparatus 300 includes: the apparatus comprises an error vector magnitude detection module 310, an error vector magnitude storage module 320, a WiFi channel evaluation module 330, a WiFi channel ordering module 340, a WiFi channel detection module 350, a priority adjustment module 360, and a WiFi connection module 370, wherein:

an error vector magnitude detection module 310, 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 320, configured to save the error vector magnitude of each WiFi channel to the mobile terminal.

A WiFi channel evaluation module 330, configured to obtain a score value of each WiFi channel based on the error vector magnitude of each WiFi channel, where the error vector magnitude of each WiFi channel is negatively related to the score value.

The WiFi channel ordering module 340 is configured to order the WiFi channels from high to low according to the score values of each WiFi channel, and obtain a priority order.

The WiFi channel detecting module 350 is configured to detect a WiFi channel where each WiFi to be connected in the multiple WiFi to be connected is located.

The error vector magnitude detection module 310 is further configured to obtain an error vector magnitude of the mobile terminal in the WiFi channel where each WiFi to be connected is located.

A priority adjusting module 360, configured to adjust the priorities of the multiple WiFi to be connected based on the error vector magnitude of the WiFi channel where each WiFi to be connected is located. Further, the priority adjustment module 360 includes:

and the score value searching submodule is used for searching the score value corresponding to the error vector amplitude of the WiFi channel where each WiFi to be connected is located.

And the priority adjusting submodule is used for searching the priority sequence of the WiFi to be connected from the priority sequence based on the credit values and adjusting the priority of the WiFi to be connected based on the priority sequence.

And the priority adjusting submodule is also used for sequencing the plurality of WiFi to be connected from high to low according to the error vector magnitude of the WiFi channel where each WiFi to be connected is positioned from small to large.

And the WiFi connection module 370 is configured to acquire the WiFi to be connected with the highest priority, and establish a connection with the WiFi to be connected with the highest priority.

To sum up, the WiFi connection adjustment method, apparatus, mobile terminal and storage medium provided in this application embodiment detect a WiFi channel where each WiFi to be connected in a plurality of WiFi to be connected is located, obtain an error vector magnitude of the mobile terminal at each WiFi channel where the WiFi to be connected is located, adjust priorities of a plurality of WiFi to be connected based on the error vector magnitude of the WiFi channel where the WiFi to be connected is located, thereby adjust the priorities of the plurality of WiFi to be connected through the error vector magnitudes of the plurality of WiFi channels where the WiFi to be connected is located of the mobile terminal, and improve WiFi connection accuracy and success rate.

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. 5 again, based on the WiFi connection 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. 6, 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. 6 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. 6, or have a different configuration than shown in FIG. 6.

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 connection adjustment method provided in the foregoing embodiment, and the processor 102 executes the WiFi connection adjustment method provided in the foregoing embodiment when running the software programs and modules of the WiFi connection 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. 6 again, in the embodiment shown in fig. 6, 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

1. A WiFi connection adjustment method is applied to a mobile terminal, and comprises the following steps:

detecting a WiFi channel where each WiFi to be connected in a plurality of WiFi to be connected is located;

acquiring the error vector amplitude of the mobile terminal in each WiFi channel where the WiFi to be connected is located, wherein the error vector amplitude of the mobile terminal in the supported WiFi channel is tested, acquired and stored before delivery;

adjusting the priorities of the plurality of WiFi to be connected based on the error vector magnitude of the WiFi channel where each WiFi to be connected is located;

when the error vector amplitudes of WiFi channels where part of WiFi to be connected in the plurality of WiFi to be connected are equal, respectively detecting historical data of the part of WiFi to be detected;

judging whether the part of WiFi to be connected is connected with the mobile terminal or not based on the historical data of the part of WiFi to be connected;

and ordering the priority of the WiFi to be connected which is connected with the mobile terminal before the WiFi to be connected which is not connected with the mobile terminal.

2. The method of claim 1, wherein the adjusting the priority of the WiFi to be connected based on the error vector magnitude of the WiFi channel on which each WiFi to be connected is located comprises:

and sequencing the plurality of WiFi to be connected from high to low in priority according to the error vector magnitude of the WiFi channel where each WiFi to be connected is located from small to large.

3. The method of claim 1, wherein before detecting the WiFi channel on which each WiFi of the plurality of WiFi to be connected 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:

obtaining a scoring value of each WiFi channel based on the error vector magnitude of each WiFi channel, wherein the error vector magnitude of each WiFi channel is in negative correlation with the scoring value;

and sorting the plurality of WiFi channels from high to low according to the scores of the WiFi channels from high to low in priority order, and obtaining the priority order.

5. The method of claim 4, wherein adjusting the priorities of the plurality of WiFi to be connected based on the error vector magnitude of the WiFi channel on which each WiFi to be connected is located comprises:

searching a score value corresponding to the error vector amplitude of the WiFi channel where each WiFi to be connected is located;

searching the priority sequence of the WiFi to be connected from the priority sequence based on the credit values, and adjusting the priority of the WiFi to be connected based on the priority sequence.

6. The method according to claim 1, wherein after the adjusting the priorities of the WiFi to be connected based on the error vector magnitude of the WiFi channel where each WiFi to be connected is located, the method further comprises:

and acquiring the WiFi to be connected with the highest priority, and establishing connection with the WiFi to be connected with the highest priority.

7. A WiFi connection adjusting device is applied to a mobile terminal, and comprises:

the WiFi channel detection module is used for detecting a WiFi channel where each WiFi to be connected in the plurality of WiFi to be connected is located;

an error vector magnitude obtaining module, configured to obtain an error vector magnitude of the mobile terminal in the WiFi channel where each WiFi to be connected is located, where the error vector magnitude of the WiFi channel supported by the mobile terminal is obtained and stored in a test before leaving a factory;

the priority adjusting module is used for adjusting the priorities of the WiFi to be connected based on the error vector amplitude of the WiFi channel where each WiFi to be connected is located, when the error vector amplitudes of the WiFi channels where the part of WiFi to be connected in the WiFi to be connected are equal, respectively detecting historical data of the part of WiFi to be connected, judging whether the part of WiFi to be connected is connected with the mobile terminal based on the historical data of the part of WiFi to be connected, and sequencing the priorities of the WiFi to be connected which is connected with the mobile terminal before the WiFi to be connected which is not connected with the mobile terminal.

8. 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 1-6.

9. A computer-readable storage medium having program code executable by a processor, the program code causing the processor to perform the method of any of claims 1-6.