CN115859071A - Data service processing method and device, electronic equipment and readable storage medium - Google Patents

Data service processing method and device, electronic equipment and readable storage medium Download PDF

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Publication number
CN115859071A
CN115859071A CN202111123564.0A CN202111123564A CN115859071A CN 115859071 A CN115859071 A CN 115859071A CN 202111123564 A CN202111123564 A CN 202111123564A CN 115859071 A CN115859071 A CN 115859071A
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parameter
signal
electronic equipment
electronic device
signal fingerprint
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CN202111123564.0A
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黄超
郭翱
裘风光
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Huawei Technologies Co Ltd
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Huawei Technologies Co Ltd
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Abstract

The embodiment of the application provides a data service processing method, a data service processing device, electronic equipment and a readable storage medium, wherein the method comprises the following steps: acquiring a first parameter of the electronic equipment; acquiring the characteristics of the first parameter according to the first parameter; matching the characteristics of the first parameter within the first preset time with the signal fingerprint in the signal fingerprint database, wherein the signal fingerprint is obtained based on the characteristics of a second parameter of the electronic equipment before the target position, the type of the second parameter is the same as that of the first parameter, and the signal quality at the target position is less than the preset signal quality; and if the characteristics of the first parameter within the first preset time length are successfully matched with the signal fingerprint in the signal fingerprint database, controlling the electronic equipment to process the data service of the application program by adopting a strategy corresponding to the application program operated by the foreground. The electronic equipment can detect whether the electronic equipment is about to enter the weak signal position or not based on the signal fingerprint database, and then the timeliness of the electronic equipment for processing data services is improved.

Description

Data service processing method and device, electronic equipment and readable storage medium
Technical Field
The present disclosure relates to communications technologies, and in particular, to a data service processing method and apparatus, an electronic device, and a readable storage medium.
Background
With the development of communication technology, users like to watch videos through electronic devices while traveling. However, in a city, high buildings stand, signal and data transmission can be lost in refraction of different buildings, so that the problems that signals of electronic equipment are weak or even the electronic equipment cannot be connected to a network and the like can occur in some positions of people, such as in buildings, parking lots, subways and the like, and inconvenience is brought to users.
At present, when an electronic device detects weak signals, the definition of played videos can be reduced to guarantee that the videos can be played smoothly, but a user needs to wait for a period of time to see the videos, and timeliness is low.
Disclosure of Invention
The embodiment of the application provides a data service processing method and device, electronic equipment and a readable storage medium, and the timeliness of processing data services is high.
In a first aspect, an execution subject of the method may be an electronic device or a chip in the electronic device, or may be interactively executed by the electronic device and a cloud. The following description will be given with an execution subject as an electronic device:
in the method, an electronic device may obtain a first parameter of the electronic device, where the first parameter is related to signal quality of the electronic device. In one embodiment, the first parameter includes at least one of: reference signal received power, reference signal received quality, received signal strength indication, signal to interference plus noise ratio, doppler signal, and location of the electronic device. The electronic device may obtain the characteristic of the first parameter according to the first parameter. In one embodiment, the first parameter may be characterized by, but is not limited to: a feature vector consisting of the first parameters, or a matrix, etc.
The electronic device may match the characteristic of the first parameter within a first preset duration with the signal fingerprint in the signal fingerprint database, and if the characteristic of the first parameter within the first preset duration is successfully matched with the signal fingerprint in the signal fingerprint database, control the electronic device to process the data service of the application program by using a policy corresponding to an application program operated by a foreground of the electronic device. The signal fingerprint is obtained based on the characteristics of a second parameter of the electronic device before the electronic device is located at a target position, the type of the second parameter is the same as the type of the first parameter, the signal quality at the target position is less than the preset signal quality, and the following electronic device may be referred to construct a relevant description of a signal fingerprint database based on the second parameter.
In the embodiment of the application, the electronic device stores the signal fingerprint database in advance, and because the signal fingerprint in the signal fingerprint database is obtained based on the second parameter of the electronic device before the electronic device is located at the weak signal position, the electronic device can detect whether the electronic device is about to enter the weak signal position based on the signal fingerprint in the signal fingerprint database. And then, when the electronic equipment is about to enter the weak signal position, the data service strategy is adjusted in advance, so that the smooth execution of the data service is ensured, and the user experience is improved.
In one possible implementation, the signal fingerprint database includes at least one signal fingerprint. The electronic device matches the characteristics of the first parameter within the first preset duration with the signal fingerprint in the signal fingerprint database, and specifically may be: the electronic equipment acquires the similarity between the characteristics of the first parameter in the first preset time and each signal fingerprint; and if the similarity is greater than the preset similarity, determining that the matching is successful.
The obtaining, by the electronic device, the similarity between the characteristic of the first parameter in the first preset duration and each signal fingerprint may be: the electronic equipment acquires the Euclidean distance, the included angle cosine distance and the like between the characteristics of the first parameter in the first preset time length and each signal fingerprint.
In one possible implementation, the first parameter includes: the location of the electronic device, the signal fingerprint database comprising: the signal fingerprint corresponds to a position, and the position corresponding to the signal fingerprint is obtained based on the position in the second parameter. When the electronic device matches the characteristics of the first parameter within the first preset time with the signal fingerprint in the signal fingerprint database, the distance between the position of the electronic device and the position corresponding to the signal fingerprint can be acquired, and then the characteristics of the first parameter within the first preset time is matched with the signal fingerprint of which the distance is smaller than the preset distance.
Therefore, the electronic equipment can be prevented from recalculating the characteristics of the first parameter and each signal fingerprint in the signal fingerprint database, the calculation amount is reduced, and the matching efficiency can be improved.
Wherein the first parameter comprises at least one of: reference signal received power, reference signal received quality, received signal strength indication, signal to interference plus noise ratio, doppler signal. The electronic device may store therein policies corresponding to different parameter values of the first parameter. In this way, when the electronic device processes the data service of the application program by using the policy corresponding to the application program operated in the foreground of the electronic device, the electronic device may control the electronic device to process the data service of the application program by using the policy corresponding to the application program according to the first parameter. Specifically, the electronic device may process the data service of the application program by using a policy corresponding to a parameter value of the first parameter according to the parameter value of the first parameter and the policy corresponding to the parameter value.
In this implementation manner, the electronic device may process the data service of the application program by using the policy corresponding to the parameter value of the first parameter based on the parameter value of the first parameter, where the processing granularity is finer and the processing accuracy is higher.
The following describes a process of the electronic device building a fingerprint database based on the second parameter of the electronic device:
the electronic device may obtain a second parameter of the electronic device. After the electronic device is started, the second parameter of the electronic device can be acquired. The second parameter includes at least one of: a reference signal received power, a reference signal received quality, a received signal strength indication, a signal to interference plus noise ratio, a doppler signal, and a location of the electronic device. The electronic device may obtain the characteristic of the second parameter according to the second parameter, further obtain a signal fingerprint based on the characteristic of the second parameter within the first preset time period in response to detecting that the electronic device is at the target position, and construct the signal fingerprint database according to the signal fingerprint.
The target position is a weak signal position, that is, a position where the signal quality of the electronic device is less than a preset signal quality. In order to improve the accuracy of detecting the target fingerprint and the signal fingerprint, the electronic device may acquire the signal fingerprint based on a feature of a second parameter within a first preset time before a second preset time in response to detecting that the electronic device is located at the target position within the second preset time. The electronic equipment can detect whether the electronic equipment is located at the target position within the second preset time period as follows:
first, the second parameter is at least one. And if the electronic equipment detects that the target parameter in the second parameters is smaller than the threshold of the target parameter within the second preset time, determining that the electronic equipment is at the target position. The target parameters are one or more of the second parameters.
Secondly, if the electronic equipment detects that the foreground of the electronic equipment runs the application program abnormally within the second preset time, the electronic equipment is determined to be in the target position.
And thirdly, if the electronic equipment detects that the number of the grids of the signal intensity displayed on the interface of the electronic equipment is smaller than the preset number of the grids within the second preset time, determining that the electronic equipment is in the target position.
The electronic device obtains the signal fingerprint based on the characteristic of the second parameter within the first preset duration, and specifically may include: and the electronic equipment clusters the characteristics of the second parameter within the first preset time length to obtain at least one cluster, wherein one cluster is a signal fingerprint.
In a possible implementation manner, after the electronic device acquires the signal fingerprint, the central position of the electronic device in the second parameter within the first preset time period may be used as the position corresponding to the signal fingerprint, and the position corresponding to the signal fingerprint is stored.
In a possible implementation manner, after the electronic device acquires the signal fingerprint, the electronic device may further store a second parameter within the first preset time period corresponding to the signal fingerprint. In this possible implementation, the second parameter includes at least one of: reference signal received power, reference signal received quality, received signal strength indication, signal to interference plus noise ratio, doppler signal.
As described in the foregoing implementation manner, all the electronic devices are taken as executing bodies to execute the data service processing method provided in the embodiment of the present application, and the following description explains that the electronic devices and the cloud end interactively execute the data service processing method provided in the embodiment of the present application:
after the electronic device obtains the second parameter of the electronic device, the second parameter can be reported to the cloud end, the cloud end can respond to the fact that the electronic device is detected to be in a weak signal position, signal fingerprints are generated based on the second parameter, a signal fingerprint database is built, and the signal fingerprint database can refer to the relevant description of the electronic device.
The specific method for the cloud to respond to the detection that the electronic device is in the weak signal position may be: the electronic device may send a weak signal message to the cloud when detecting that the electronic device is in the weak signal position based on the method of "one to three", and may send a weak signal release message to the cloud when detecting that the electronic device moves out of the weak signal position based on the method of "one to three". Accordingly, the cloud may detect whether the electronic device is in a weak signal position based on the weak signal message and the weak signal release message from the electronic device.
If the weak signal cancellation message from the electronic device is not received within the second preset time period after the cloud receives the weak signal message from the electronic device, it may be determined that the electronic device is in the target position (i.e., the weak signal position).
In a possible implementation manner, after the electronic device obtains the first parameter of the electronic device, the first parameter may be reported to the cloud. The cloud end obtains the characteristics of the first parameters according to the first parameters, matches the characteristics of the first parameters in a first preset time length with signal fingerprints in a signal fingerprint database, and if the characteristics of the first parameters in the first preset time length are successfully matched with the signal fingerprints in the signal fingerprint database, the cloud end can inform the electronic equipment of adopting a strategy corresponding to an application program running on the foreground of the electronic equipment to process the data service of the application program.
The cloud end can send weak signal indication information to the electronic equipment, wherein the weak signal indication information is used for indicating the electronic equipment to process the data service of the application program by adopting the strategy corresponding to the application program. And the cloud end responds to the received weak signal indication information and can process the data service of the application program by using a strategy corresponding to the application program operated by the electronic equipment foreground.
In this application embodiment, electronic equipment can report electronic equipment's parameter to the high in the clouds, the high in the clouds can be based on a plurality of electronic equipment's parameter, found signal fingerprint database, compare in the signal fingerprint database that electronic equipment found based on self parameter, the signal fingerprint in the signal fingerprint database that the high in the clouds was found is more, abundanter, when electronic equipment reaches a position for the first time, the signal fingerprint that the high in the clouds can adopt other electronic equipment's parameter to establish, detect whether electronic equipment is about to get into weak signal position, application scope is wider, the accuracy is higher.
In a second aspect, an embodiment of the present application provides a data service processing apparatus, where the data service processing apparatus may be an electronic device or a chip in the electronic device in the first aspect, or a cloud or a chip in the cloud in the first aspect, and the data service processing apparatus may include:
and the communication protocol layer is used for acquiring a first parameter of the electronic equipment.
A signal fingerprinting module for: acquiring the characteristics of the first parameter according to the first parameter; matching the characteristics of a first parameter within a first preset time with a signal fingerprint in a signal fingerprint database, wherein the signal fingerprint is obtained based on a second parameter of the electronic equipment before the electronic equipment is located at a target position, and the type of the second parameter is the same as that of the first parameter.
And if the characteristics of the first parameter in the first preset time length are successfully matched with the signal fingerprint in the signal fingerprint database, the application processor AP is used for controlling the electronic equipment to process the data service of the application program by adopting a strategy corresponding to the application program operated by the foreground of the electronic equipment.
In one possible implementation, the feature of the first parameter is a feature vector, and the feature vector is a vector composed of the first parameter.
In one possible implementation, the signal fingerprint database includes at least one signal fingerprint.
The signal fingerprint module is specifically used for acquiring the similarity between the characteristic of the first parameter in the first preset time length and each signal fingerprint; and if the similarity is greater than the preset similarity, determining that the matching is successful.
In one possible implementation, the first parameter includes: the location of the electronic device, the signal fingerprint database including: the signal fingerprint corresponds to a position, and the position corresponding to the signal fingerprint is obtained based on the position in the second parameter.
The signal fingerprint module is specifically used for acquiring the distance between the position of the electronic equipment and the position corresponding to the signal fingerprint; and matching the characteristics of the first parameter in the first preset time with the signal fingerprint with the distance less than the preset distance.
In one possible implementation, the first parameter includes at least one of: reference signal received power, reference signal received quality, received signal strength indication, signal to interference plus noise ratio, doppler signal.
And the AP is specifically configured to control the electronic device to process the data service of the application program by using a policy corresponding to the application program according to the first parameter.
In one possible implementation, the first parameter includes at least one of: a reference signal received power, a reference signal received quality, a received signal strength indication, a signal to interference plus noise ratio, a doppler signal, and a location of the electronic device.
In a possible implementation manner, the AP is specifically configured to send weak signal indication information to the electronic device, where the weak signal indication information is used to indicate that the electronic device processes a data service of the application program by using a policy corresponding to the application program.
In a possible implementation manner, the communication protocol layer is further configured to obtain the second parameter.
The signal fingerprint module is further used for acquiring the characteristics of the second parameters according to the second parameters; in response to detecting that the electronic equipment is located at a target position, acquiring a signal fingerprint based on the characteristics of a second parameter within the first preset time length; and constructing the signal fingerprint database according to the signal fingerprints.
In a possible implementation manner, the signal fingerprint module is specifically configured to, in response to detecting that the electronic device is located at the target location within a second preset duration, obtain the signal fingerprint based on a feature of a second parameter within the first preset duration before the second preset duration.
In a possible implementation manner, the second parameter is at least one, and the signal fingerprint module is specifically configured to determine that the electronic device is located at the target position if it is detected that a target parameter in the second parameters is smaller than a threshold of the target parameter within the second preset time period.
In a possible implementation manner, the signal fingerprint module is specifically configured to determine that the electronic device is in the target position if it is detected that the foreground of the electronic device runs an application program abnormally within the second preset duration.
In a possible implementation manner, the signal fingerprint module is specifically configured to determine that the electronic device is located at the target position if it is detected that a number of the signal strength displayed on the interface of the electronic device is smaller than a preset number within the second preset duration.
In a possible implementation manner, the signal fingerprint module is specifically configured to determine that the electronic device is located at the target location if a weak signal release message from the electronic device is not received within the second preset time period after the weak signal message from the electronic device is received, where the weak signal message is sent when the electronic device detects that the electronic device is located at the target location, and the weak signal release message is sent when the electronic device detects that the electronic device moves out of the target location.
In a possible implementation manner, the signal fingerprint module is specifically configured to cluster features of the second parameter within the first preset duration to obtain at least one cluster, where one cluster is one signal fingerprint.
In a possible implementation manner, the signal fingerprint module is further configured to use a center position of the electronic device in a second parameter within the first preset duration as a position corresponding to the signal fingerprint; and storing the corresponding position of the signal fingerprint.
In one possible implementation, the second parameter includes at least one of: reference signal received power, reference signal received quality, received signal strength indication, signal to interference plus noise ratio, doppler signal.
And the signal fingerprint module is also used for storing a second parameter corresponding to the signal fingerprint within the first preset time length.
In a third aspect, an embodiment of the present application provides an electronic device, which may include: a processor, a memory. The memory is for storing computer executable program code, the program code comprising instructions; the instructions, when executed by the processor, cause the electronic device to perform the method as in the first aspect.
In a fourth aspect, an embodiment of the present application provides an electronic device, which may be the data service processing apparatus of the second aspect or the electronic device of the first aspect. The electronic device may comprise means, modules or circuits for performing the methods provided by the first aspect above.
In a fifth aspect, embodiments of the present application provide a computer program product containing instructions, which when run on a computer, cause the computer to perform the method of the first aspect.
In a sixth aspect, embodiments of the present application provide a computer-readable storage medium, which stores instructions that, when executed on a computer, cause the computer to perform the method in the first aspect.
For each possible implementation manner of the second aspect to the sixth aspect, the beneficial effects of the second aspect may refer to the beneficial effects brought by the first aspect, and details are not repeated herein.
The embodiment of the application provides a data service processing method and device, electronic equipment and a readable storage medium, wherein signal fingerprints in a signal fingerprint database are obtained by a signal fingerprint module based on parameters of the electronic equipment before the electronic equipment is at a weak signal position, so that the electronic equipment can detect whether the electronic equipment is about to enter the weak signal position based on the signal fingerprints in the signal fingerprint database. And then the data service strategy is adjusted in advance when the electronic equipment is about to enter the weak signal position, so that the smooth execution of the data service is ensured, the timeliness of the electronic equipment for processing the data service is improved, and the user experience is improved.
Drawings
FIG. 1A is a schematic diagram of a scene;
FIG. 1B is a schematic view of another scenario;
fig. 2 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;
fig. 3 is a schematic flowchart of an embodiment of a data service processing method according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a sliding window and feature vectors provided by an embodiment of the present application;
FIG. 5 is a schematic diagram of a signal fingerprint database constructed according to an embodiment of the present application;
fig. 6 is a schematic flowchart of another embodiment of a data service processing method according to an embodiment of the present application;
FIG. 7 is a schematic diagram of a scenario applicable to the embodiment of the present application;
fig. 8 is a schematic flowchart of another embodiment of a data service processing method according to an embodiment of the present application;
fig. 9 is a schematic flowchart of another embodiment of a data service processing method according to an embodiment of the present application.
Detailed Description
When the electronic device is located at different positions, the signal strength of the electronic device is different, and the capability of the electronic device to execute the data service is also different. The signal strength of the electronic device may be a signal strength of a wireless network, and the wireless network may include, but is not limited to: wi-Fi networks, global system for mobile communications (GSM) networks, code Division Multiple Access (CDMA) networks, wideband Code Division Multiple Access (WCDMA) networks, third generation mobile communication technology (3 rd-generation, 3G) networks, 4G networks, 5G networks, etc., which are not limited in the embodiments of the present application. The data service is a service that the electronic device needs to perform through a wireless network, and in one embodiment, the data service may include but is not limited to: information-based services, entertainment-based services, message-based services, etc. The information type service may include: providing news, weather, sports, travel, financial, etc. information to the user. The entertainment services may include: ring tones, video, music, games, chat, reading, web browsing, etc. The message class service may include: the embodiments of the present application do not limit the data service executed by the electronic device, and the following embodiments describe the video playing by the electronic device as an example.
The electronic device in the embodiment of the present application may be referred to as a User Equipment (UE), a terminal (terminal), and the like, for example, the electronic device may be a mobile phone, a tablet computer (PAD), a Personal Digital Assistant (PDA), a handheld device with a wireless communication function, a computing device, a vehicle-mounted device, or a wearable device, a Virtual Reality (VR) terminal device, an Augmented Reality (AR) terminal device, and the like.
Fig. 1A is a schematic view of a scene. Referring to fig. 1A, a user watches a video using a mobile phone, when the user moves to a position a, the signal intensity of the mobile phone is strong, the mobile phone can smoothly play the video, and the mobile phone display picture in fig. 1A represents that the mobile phone smoothly plays the video. When the user moves to position B, the signal strength of the mobile phone becomes weak, the mobile phone plays a video card, and the "loading" flag 10 is displayed on the mobile phone in fig. 1A to represent the video card. The reason why the mobile phone can smoothly play the video at the position a, but the video is stuck at the position B is that: at the position A, the signal intensity of the mobile phone is strong, the mobile phone can interactively cache videos with the server at the position A, so that the mobile phone can smoothly play the videos, but at the position B, the signal intensity of the mobile phone is weakened, the video caching capacity of the mobile phone is weakened, the videos can be cached in a long time, and the video is blocked when a user is at the position B.
In view of the above problems, the prior art provides a method for switching between a main data card and a sub data card, where the mobile phone includes one main data card and one sub data card, and both the main data card and the sub data card can be used to access the internet. When the signal intensity of the mobile phone at the position A is strong, the mobile phone can adopt the main data card to cache the video. When the mobile phone detects that the signal intensity of the main data card is weakened at the position B, the mobile phone can be automatically switched to the auxiliary data card with high signal intensity to cache the video, so that the mobile phone can smoothly play the video. However, in this method, two data cards need to be set in the mobile phone, which is not applicable to the mobile phone only supporting a single card and the mobile phone only setting one data card, and the application range is small.
In the method, when the mobile phone detects that the signal strength at the position B is lower than a preset strength value, the resolution of the video can be reduced to ensure smooth playing of the video. Illustratively, as in location a, the handset plays video at "blue 1080P" resolution, when the user moves to location B, the handset may reduce the resolution to "standard definition 270P" to ensure that the handset can play video smoothly. Referring to fig. 1B, at location B, the mobile phone may display a prompt message "switch to the standard definition" on the interface, and the user may see the video played in the "standard definition 270P" after waiting for a period of time. It should be understood that the dashed pictures in fig. 1B represent a decrease in resolution of the video played by the electronic device.
Although the method for reducing video definition can solve the problem of small application range of switching between the main card and the auxiliary card, in the method, when the user moves to the position B, the mobile phone can change the strategy for executing the data service based on the signal strength at the position B, the timeliness is poor, and after the resolution of the video is reduced, the experience of the user for watching the video is poor.
At present, most of the routes of users going out are repeated, such as a route from home to company, a route from home to market, and the like. If the electronic equipment can acquire the position with low signal intensity on the trip line in advance, the electronic equipment can load the video in advance before reaching the position with low signal intensity, so that the electronic equipment can smoothly play the video when the user reaches the position with low signal intensity, and the user experience is improved. Accordingly, the embodiment of the present application provides a data service processing method, where an electronic device detects whether the electronic device is about to reach a location with low signal strength based on a parameter of the electronic device, and if the electronic device is about to reach the location with low signal strength, the electronic device may pre-use a corresponding policy to process a data service based on a type of the data service, so that the electronic device may successfully execute the data service at the location with low signal strength, thereby improving user experience.
It should be understood that in the following embodiments, a location with low signal strength is referred to as a weak signal location or a target location, both of which represent poor network quality of the electronic device at that location.
Before introducing the data service processing method provided by the embodiment of the present application, first, a structure of an electronic device in the embodiment of the present application is introduced:
fig. 2 is a schematic structural diagram of an electronic device according to an embodiment of the present application. Referring to fig. 2, an Application Processor (AP) and a baseband processor are included in the electronic device, and in one embodiment, the AP may be referred to as an a core of the electronic device and the baseband processor may be referred to as a C core of the electronic device. The AP and the baseband processor may communicate through a Radio Interface Layer (RIL).
The a core may include an application package of at least one Application (APP), and the application may include but is not limited to: camera, gallery, calendar, phone call, map, navigation, bluetooth, music, video, short message, etc., and a specific application package is not shown in fig. 2, which is illustrated by "AP" as an example.
The C core comprises: the system comprises a communication protocol layer, an interface control layer (ICD), a chip adaptation layer, a parameter adaptation interface, a signal fingerprint database and a signal fingerprint module.
The communication protocol layer comprises: a physical layer (PHY), a data link layer, and a Radio Resource Control (RRC) layer, which are not described in detail in this embodiment of the present application, and the data link layer may also be referred to as a Media Access Control (MAC) layer. In the embodiment of the application, the communication protocol layer is used for acquiring parameters of the electronic device.
In one embodiment, the parameters of the electronic device may include, but are not limited to: reference Signal Received Power (RSRP), reference Signal Received Quality (RSRQ), received Signal Strength Indication (RSSI), signal to interference plus noise ratio (SINR), doppler signal (doppler), and location of the electronic device.
In the embodiment of the application, after the communication protocol layer obtains the parameters of the electronic device, the parameters of the electronic device can be reported to the chip adaptation layer through the ICD.
In one embodiment, the signal fingerprint database and the signal fingerprint module are integrated on a chip. And the chip adaptation layer is used for converting the format of the parameters of the electronic equipment from the communication protocol layer into a format which can be identified by the C core (namely, a format which can be identified by the signal fingerprint module). Illustratively, the parameter of the electronic device acquired by the communication protocol layer is in a data packet format, and the chip adaptation layer may analyze the data packet from the communication protocol layer to obtain the parameter of the electronic device, and further convert the parameter of the electronic device into a format that can be recognized by the chip and report the format to the parameter adaptation interface.
And the parameter adaptation interface is used for preprocessing the parameters of the electronic equipment and reporting the preprocessed parameters of the electronic equipment to the signal fingerprint module.
And the signal fingerprint module is used for obtaining a signal fingerprint according to the parameters of the electronic equipment from the parameter adaptation interface and constructing a signal fingerprint database. It should be understood that the signal fingerprint database includes a collection of signal fingerprints. In addition, the signal fingerprint module is further configured to match parameters of the electronic device according to the signal fingerprint in the signal fingerprint database based on the parameters of the electronic device from the parameter adaptation interface, and detect whether the electronic device is about to reach a weak signal position.
The parameter adapting interface and the signal fingerprinting module can refer to the relevant description in the following embodiments.
The signal fingerprinting module is further configured to, in response to determining that the electronic device is about to reach the weak signal location, report information (e.g., weak signal prompt information in the following embodiments) that the electronic device is about to reach the weak signal location to the AP through the RIL.
And the AP is used for responding to the information that the electronic equipment is about to reach the weak signal position and adjusting the strategy for executing the data service. For example, in the case of playing a video by the electronic device, the AP may increase the amount of buffering of the video in response to the information that the electronic device is about to reach the weak signal position. It should be understood that the data service executed by the electronic device is different, and the policy for executing the data service by the AP is different, which can be referred to the relevant description in the following embodiments.
The following describes a data service processing method provided in the embodiments of the present application with reference to specific embodiments. The following several embodiments may be combined with each other and may not be described in detail in some embodiments for the same or similar concepts or processes. The following first describes the process of the electronic device for constructing the signal fingerprint database based on the parameters of the electronic device with reference to fig. 3:
fig. 3 is a flowchart illustrating an embodiment of a data service processing method according to an embodiment of the present application. Referring to fig. 3, a data service processing method provided in an embodiment of the present application may include:
s301, the communication protocol layer sends the first parameters of the electronic device collected by the communication protocol layer to the chip adaptation layer through the ICD.
In this embodiment of the application, after the electronic device is powered on, the signal fingerprint module may register an ICD with an ICD message event, where the ICD message event is used to instruct the ICD to send a first parameter of the electronic device to the signal fingerprint module through the chip adaptation layer and the parameter adaptation interface after receiving the first parameter of the electronic device acquired by the communication protocol layer.
Wherein the first parameter is related to a signal quality of the electronic device. In one embodiment, the first parameter includes, but is not limited to: RSRP, RSRQ, RSSI, SINR, doppler, and location of the electronic device. Illustratively, the location of the electronic devices is different and the signal quality of the electronic devices is different.
It is to be understood that the terms "first," "second," and the like in the embodiments of the present application are used for descriptive purposes only and not for purposes of indicating or implying relative importance, nor for purposes of indicating or implying order. In one embodiment, the first parameter in the embodiment shown in fig. 3 may be referred to as the second parameter, and the second parameter in the embodiments described below may be referred to as the first parameter accordingly.
S302, the chip adaptation layer converts the first parameter into a target format.
S303, the chip adaptation layer sends the first parameter after format conversion to the parameter adaptation interface.
S301-S303 may specifically refer to the related description in fig. 2 above. The target format may be understood as a format that the chip can recognize.
S304, the parameter adaptation interface preprocesses the first parameter after format conversion to obtain the processed first parameter.
The frequencies of the first parameters collected by the communication protocol layer are different, so that the frequencies of the first parameters reported by the communication protocol layer to the chip adaptation layer through the ICD are different. For example, taking RSRP and RSRQ as examples, if the communication protocol layer reports RSRP to the chip adaptation layer 10 times in 1s and reports RSRQ 5 times, the chip adaptation layer receives RSRP 10 times and RSRQ 5 times in 1s. Accordingly, the parameter adaptation interface may also receive RSRP 10 times and RSRQ 5 times within 1s.
The parameter adaptation interface may pre-process the first parameter received within a preset time duration. For example, the preset time period may be 1s. It should be noted that 1s is illustrated as an example, and the preset time period may also be other values, such as 3s, 10s, and the like. In an embodiment, the parameter adaptation interface may further adaptively adjust the preset duration, for example, when the electronic device detects that the electronic device is located at a position (or within a region) for a long time, the parameter adaptation interface may increase the preset duration, which is not limited in this embodiment of the application.
For example, taking the preset duration as 1s as an example, the parameter adaptation interface may perform smoothing processing on the first parameter of the electronic device received in 1s to obtain a parameter value of each first parameter, and then report the processed first parameter (i.e., the parameter value of each first parameter) to the signal fingerprint module. Taking RSRP and RSRQ as examples, the parameter adaptation interface may receive RSRP 10 times and RSRQ 5 times within 1s, and then the parameter adaptation interface may smooth 10 RSRPs to obtain one RSRP, and similarly, the parameter adaptation interface may smooth 5 RSRQ to obtain one RSRQ.
The smoothing process of the parameter adaptation interface is described by taking RSRP as an example, and the parameter adaptation interface may smooth 10 RSRPs by using a weighted average method. Wherein the RSRP received further away from the end of 1s is weighted lower, and the RSRP received closer to the end of 1s is weighted higher. Illustratively, within 1s, RSRPs received by the parameter adaptation interface are a1, a2, … … a10 in sequence, weights corresponding to the RSRPs are increased in sequence, and the parameter adaptation interface may process the RSRPs and corresponding weights by using a weighted average method to obtain the processed RSRPs.
It should be understood that the smoothing process of the parameter adaptation interface on each first parameter may be the same, and specifically, the smoothing process of RSRP may be referred to, so that the parameter adaptation interface may obtain the first parameters of the processed electronic device within 1s.
S305, the parameter adaptation interface sends the processed first parameter to the signal fingerprint module.
S306, responding to the weak signal position of the electronic equipment, the signal fingerprint module generates a signal fingerprint based on the processed first parameter.
The signal fingerprinting module may detect whether the electronic device is in a weak signal position. In an embodiment, a weak signal position may be referred to as a target position, and the signal quality at the target position is low, and in this embodiment, the signal quality at the target position is less than a preset signal quality, specifically, the following detection manner may be referred to:
in one embodiment, the signal fingerprinting module may detect whether the electronic device is in a weak signal position based on the processed first parameter. If the signal fingerprint module detects that at least one of the following first parameters is smaller than a threshold corresponding to the first parameter, it may be determined that the electronic device is in a weak signal position, where the at least one first parameter includes: RSRP, RSRQ, RSSI, SINR, doppler. For example, using RSRP as an example, the signal fingerprinting module may determine that the electronic device is in a weak signal position when the signal fingerprinting module detects RSRP that is less than a threshold corresponding to RSRP. It is to be understood that the first parameter is different and the threshold value corresponding to the first parameter may be different. In this embodiment, the signal quality being less than the preset signal quality may be characterized as: at least one first parameter of the electronic equipment is smaller than a threshold corresponding to the first parameter.
In order to avoid the problem that the first parameter is smaller than the threshold corresponding to the first parameter due to the instantaneous signal jitter, in this embodiment, the signal fingerprinting module may determine that the electronic device is in the weak signal position in response to detecting that at least one of the first parameters is always smaller than the threshold corresponding to the first parameter for the first preset time period. For example, the first preset time period may be 4s, taking RSRP as an example, when the signal fingerprinting module detects that RSRP is always less than a threshold corresponding to RSRP within 4s, the signal fingerprinting module may determine that the electronic device is in a weak signal position. In one embodiment, the first preset duration may be referred to as a second preset duration, and the second preset duration may be referred to as the first preset duration accordingly.
In one embodiment, the AP may detect whether the electronic device is in a weak signal position based on an operation state of an application program that is executed in a foreground of the electronic device. If the AP detects that the running state of the application program running in the foreground of the electronic equipment is an abnormal state, the electronic equipment is determined to be in a weak signal position. It should be appreciated that the exception state may behave differently for different applications. For example, for a video application, the exception state of the video application is: no data packet transmission between the AP and the server, etc. In this embodiment, the signal quality being less than the preset signal quality may be characterized as: the running state of the application program running on the foreground of the electronic equipment is an abnormal state.
In this embodiment, the AP may send a first weak signal message to the signal fingerprinting module in response to detecting that the electronic device is in a weak signal location, the first weak signal message indicating that the electronic device is in a weak signal location, such that the signal fingerprinting module may determine that the electronic device is in a weak signal location in response to receiving the first weak signal message.
In addition, when detecting that the running state of the application program running on the foreground of the electronic device is switched from the abnormal state to the non-abnormal state, the AP may send a first weak signal release message to the signal fingerprint module, where the first weak signal release message indicates that the electronic device has moved out of the weak signal position. In this embodiment, in order to improve the detection accuracy of the electronic device, after the signal fingerprinting module responds to receiving the first weak signal message, if the first weak signal release message from the AP is not received within the first preset time period, the signal fingerprinting module may determine that the electronic device is in the weak signal position.
In one embodiment, referring to fig. 2, the electronic device may include a signal strength detection module, and the signal strength detection module may acquire a number of signal strengths displayed on an interface of the electronic device, where the number of signal strengths is positively correlated to the signal strength of the electronic device. In this embodiment, in response to detecting that the number of the signal strength displayed on the interface of the electronic device is smaller than the preset number, the signal strength detection module may determine that the electronic device is at the weak signal position, and may further send a second weak signal message to the signal fingerprint module, where the second weak signal message is used to indicate that the electronic device is at the weak signal position. As such, the signal fingerprinting module may determine that the electronic device is in a weak signal location in response to receiving the second weak signal message. Illustratively, the full-scale number of the signal intensities displayed on the electronic device is 5, and the preset-scale number is 2. In this embodiment, the signal quality being less than the preset signal quality may be characterized as: the number of the signal intensity grids displayed on the electronic equipment interface is smaller than the preset number of grids.
In addition, when the signal strength detection module detects that the number of the signal strength displayed on the interface of the electronic device is greater than or equal to the preset number from being less than the preset number, a second weak signal release message may be sent to the signal fingerprint module, where the second weak signal release message indicates that the electronic device has moved out of the weak signal position. In such an embodiment, in order to improve the detection accuracy of the electronic device, after the signal fingerprint module responds to the second weak signal message, if the second weak signal release message from the signal strength detection module is not received within the first preset time period, it may be determined that the electronic device is in the weak signal position.
The signal fingerprinting module may generate a signal fingerprint based on the processed first parameter in response to the electronic device being in a weak signal position.
After the signal fingerprint module receives the processed first parameter, the signal fingerprint module can acquire the characteristic of the processed first parameter. In one embodiment, the feature of the processed first parameter may not be limited to a feature vector (vector), a matrix, or the like, and the following embodiment will be described by taking the feature of the first parameter as an example of the feature vector. For example, taking the example that the parameter adaptation interface reports the processed first parameter to the signal fingerprinting module every 1s, the signal fingerprinting module may obtain a feature vector based on the processed first parameter received every second.
For example, the first parameter includes RSRP, RSRQ, RSSI, SINR, doppler, and a position of the electronic device, and the feature vector may be a vector formed in order of RSRP, RSRQ, RSSI, SINR, doppler, and position (position of the electronic device), such as the feature vector is (RSRP, RSRQ, RSSI, SINR, doppler, position). In this way, the signal fingerprinting module can obtain one feature vector every second, and thus the signal fingerprinting module can obtain a plurality of feature vectors.
The signal fingerprinting module may generate a signal fingerprint based on the feature vectors within the sliding window (T). For example, referring to fig. 4, the sliding window may be 20s, and the first preset time period 4s is the last 1/5 of the sliding window. In an embodiment of the present application, in response to detecting that the electronic device is in a weak signal position at the rear 1/5 of the sliding window, the signal fingerprint module may generate a signal fingerprint based on the feature vector of the front 4/5 of the sliding window. For example, the signal fingerprinting module may generate a signal fingerprint based on the 16 feature vectors obtained for the first 16s of the sliding window. It should be understood that the sliding window in the embodiments of the present application, and the ratios "back 1/5" and "front 4/5" are all exemplary illustrations. In other words, in response to detecting that the electronic device is in a weak signal position within a first preset duration, the signal fingerprinting module may generate the signal fingerprint based on a feature vector of a second parameter of a second preset duration before the first preset duration.
It should be understood that the signal fingerprint module in the embodiment of the present application uses the feature vectors of the first 4/5 of the sliding window to generate the signal fingerprint because: the signal fingerprint module can obtain the signal fingerprint of the electronic equipment about to enter the weak signal position based on the characteristic vector of the first 4/5 of the sliding window, and then the signal fingerprint module can detect whether the electronic equipment is about to enter the weak signal position based on the signal fingerprint, so that the strategy of executing the data service is adjusted in advance, and the timeliness and the user experience are improved.
In one embodiment, the signal fingerprint module may cluster the first 4/5 feature vectors of the sliding window to obtain at least one cluster, and each cluster may be understood as a signal fingerprint. Each signal fingerprint comprises at least one feature vector, and the similarity between the feature vectors in one signal fingerprint is greater than the preset similarity. In an embodiment, the similarity between feature vectors can be characterized by euclidean distance, cosine distance of included angle, manhattan distance, and the like, and the euclidean distance is taken as an example in the following embodiments.
The signal fingerprint module can adopt a clustering algorithm to cluster the feature vectors of the first 4/5 of the sliding window. The clustering algorithm may include, but is not limited to: K-Means (K-Means) clustering algorithms, mean-shift clustering algorithms, density-based clustering with Noise (DBSCAN) algorithms, and the like.
Here, taking the K-Means clustering algorithm as an example, the process of clustering the feature vectors by the signal fingerprint module is briefly described:
step 1: the signal fingerprinting module selects any k feature vectors as cluster centers from the first 4/5 feature vectors of the sliding window.
Step 2: the signal fingerprint module calculates the Euclidean distance between each feature vector and each cluster center in the first 4/5 feature vectors of the sliding window one by one, and divides the feature vectors with the Euclidean distance smaller than the preset Euclidean distance into one cluster, so as to obtain a plurality of initial clusters.
And step 3: and calculating a mean feature vector of the feature vectors in each initial cluster, and taking the feature vector with the highest similarity with the mean feature vector in the initial cluster as a new cluster center.
And 4, step 4: and (4) repeating the steps (2) and (3) until the clustering center in each initial cluster is unchanged, finishing clustering and obtaining a plurality of clusters (namely signal fingerprints).
S307, the signal fingerprint module constructs a signal fingerprint database based on the signal fingerprint.
The signal fingerprint module may store the signal fingerprint in a memory of the electronic device to construct a signal fingerprint database, the signal fingerprint database including at least one signal fingerprint. Illustratively, the memory of the electronic device may be a hard disk.
Fig. 5 is a schematic diagram of constructing a signal fingerprint database according to an embodiment of the present application. Referring to fig. 5, when the user is at location a, the signal fingerprinting module detects that the mobile phone is not at the weak signal location, and may obtain the characteristic of the first parameter. When the user moves to the position B, the signal fingerprint module detects that the mobile phone is at a weak signal position, and the signal fingerprint module can generate a signal fingerprint based on the characteristic vector of the first 4/5 of the sliding window. If the signal fingerprint module detects that the mobile phone is in the weak signal position all the time in the process that the user moves to the position D, the signal fingerprint module can generate a plurality of signal fingerprints all the time based on the feature vector of the first 4/5 second parameter of the sliding window, and then a signal fingerprint database is constructed.
In one embodiment, the signal fingerprint database may further store a first parameter corresponding to each signal fingerprint. The first parameter corresponding to the signal fingerprint may be: the mean value of the first parameter of the last 1/5 of the sliding window of the signal fingerprint is obtained. For example, the signal fingerprint module may generate the signal fingerprint based on the feature vector of the first 16s of the sliding window 20s, where the first parameter corresponding to the signal fingerprint is a mean value of the first parameters of the last 4s of the sliding window 20s, and the mean value of the first parameters may include: the mean value a of RSRP, the mean value b of RSRQ, the mean value c of RSSI, the mean value d of SINR, the mean value e of doppler, and the mean value f of position. Correspondingly, the first parameter corresponding to the signal fingerprint is: the mean value a of RSRP, the mean value b of RSRQ, the mean value c of RSSI, the mean value d of SINR, the mean value e of doppler, and the mean value f of position. Wherein, the mean value of the position of the electronic device can be understood as: the center position of the electronic device of the rear 1/5 of the sliding window.
In one embodiment, the signal fingerprint database may further store a location of the electronic device corresponding to each signal fingerprint. The position of the electronic device corresponding to the signal fingerprint may be: the mean value of the positions of the electronic device, such as the mean value f of the positions, of the rear 1/5 of the sliding window of the signal fingerprint is obtained.
In the embodiment of the application, the signal fingerprint module can construct the signal fingerprint database in a self-learning mode based on the first parameter of the electronic equipment in the process that a user uses the electronic equipment. Because the signal fingerprint in the signal fingerprint database is obtained by the signal fingerprint module based on the first parameter of the electronic device before the electronic device is located at the weak signal position, the electronic device can detect whether the electronic device is about to enter the weak signal position based on the signal fingerprint in the signal fingerprint database. And then the data service strategy is adjusted in advance when the electronic equipment is about to enter the weak signal position, so that the smooth execution of the data service is ensured, and the user experience is improved. Wherein the electronic device detects whether the electronic device is about to enter the weak signal location based on the signal fingerprint database, reference may be made to the following description in fig. 6.
In an embodiment, after the electronic device is turned on for the first time, the steps in fig. 6 may be executed as follows when the steps in fig. 3 are executed. Alternatively, in an embodiment, in response to the number of signal fingerprints in the signal fingerprint database reaching the preset number, the electronic device may execute the following steps in fig. 6, in which because the number of signal fingerprints in the signal fingerprint database is sufficient, it may be accurately detected whether the electronic device is about to enter a weak signal position, so as to improve the processing accuracy of the data service. Alternatively, in an embodiment, the electronic device may perform the following steps in fig. 6 after being powered on for the first time and used for a period of time, for example, the period of time may be 1 week, which is not limited in this embodiment of the present application. In the embodiment of the present application, a scenario in which the electronic device executes the steps in fig. 6 is not limited.
Fig. 6 is a schematic flowchart of another embodiment of a data service processing method according to an embodiment of the present application. Referring to fig. 6, a data service processing method provided in an embodiment of the present application may include:
S301A, the communication protocol layer sends the second parameters of the electronic device collected by the communication protocol layer to the chip adaptation layer through the ICD.
S302A, the chip adaptation layer converts the second parameter into a target format.
And S303A, the chip adaptation layer sends the second parameter after the format conversion to the parameter adaptation interface.
S304A, the parameter adaptation interface carries out preprocessing on the second parameter after format conversion to obtain the processed second parameter.
S305A, the parameter adaptation interface sends the processed second parameter to the signal fingerprint module.
S301A-S305A may refer to the associated descriptions in S301-S305. It should be understood that the second parameter is of the same type as the first parameter, and if the first parameter includes the location and RSSI of the electronic device, the second parameter also includes the location and RSSI of the electronic device.
S306A, the signal fingerprint module acquires the characteristics of the processed second parameters.
The feature of the processed second parameter may refer to the relevant description in S306, and the feature of the processed second parameter is "characterized" in the following embodiments.
S307A, the signal fingerprint module matches the characteristics of the second parameter in the second preset time length in the sliding window with the signal fingerprint in the signal fingerprint database. If the matching is successful, executing S308A, if the matching is unsuccessful, sliding the sliding window, and executing S307A.
In an embodiment, the way for the signal fingerprint module to match the feature of the second parameter (briefly, the feature of the second parameter) within the second preset time duration in the sliding window with the signal fingerprint in the signal fingerprint database may be: the signal fingerprint module calculates the similarity between the characteristics of the second parameter and each signal fingerprint in the signal fingerprint database to obtain at least one similarity. If the similarity greater than or equal to the preset similarity exists in the at least one similarity, the signal fingerprint module determines that the feature of the second parameter is successfully matched with the signal fingerprint in the signal fingerprint database. If the similarity greater than or equal to the preset similarity does not exist in the at least one similarity, the signal fingerprint module determines that the feature of the second parameter is unsuccessfully matched with the signal fingerprint in the signal fingerprint database. For example, the signal fingerprint module may obtain a euclidean distance between the feature of the second parameter and each signal fingerprint in the signal fingerprint database, where the euclidean distance is inversely related to the similarity, and the larger the euclidean distance is, the lower the similarity is, and the smaller the euclidean distance is, the larger the similarity is.
In one embodiment, the signal fingerprinting module may employ a K-nearest neighbor algorithm (KNN) to compute a similarity of the characteristic of the second parameter to the signal fingerprints in the signal fingerprint database.
If the feature of the second parameter is successfully matched with the signal fingerprint in the signal fingerprint database, the signal fingerprint module may determine that the electronic device is about to enter the weak signal location, and then the following step S308A may be performed. If the matching of the characteristics of the second parameter with the signal fingerprint in the signal fingerprint database is unsuccessful, the signal fingerprint module can determine that the electronic equipment cannot enter the weak signal position, and can continue to slide the sliding window to match the characteristics of the second parameter in a second preset time length in the new sliding window with the signal fingerprint in the signal fingerprint database.
Fig. 7 is a schematic view of a scenario applicable to the embodiment of the present application. Referring to fig. 7, assuming that 10. Assuming that the matching result is unsuccessful, over time, the signal fingerprint module can slide a sliding window to match the features of the second parameter in the 9. If the matching result is still unsuccessful, the signal fingerprint module can continue to slide the sliding window to match the second parameter characteristics in the second preset duration in the sliding window with the signal fingerprints in the signal fingerprint database. It should be understood that in this embodiment, the sliding window is described as an example in which the sliding window slides for 1s at a time, and the embodiment of the present application does not limit the manner in which the sliding window slides.
Thus, if the second parameter characteristic within the second preset time duration in the sliding window is successfully matched with the signal fingerprint in the signal fingerprint database when the user moves to the position C, the signal fingerprint module can determine that the electronic device is about to enter the weak signal position. It should be understood that the weak signal position is position B and position C is, i.e., enters, the weak signal position.
As in the above embodiment, the signal fingerprint module needs to match the second parameter characteristic within the second preset duration in the sliding window with each signal fingerprint in the signal fingerprint database, and the calculation amount is large. In order to reduce the amount of computation of the signal fingerprint module and improve the efficiency, in an embodiment, the location of the electronic device may be included in the second parameter of the electronic device, and in such an embodiment, referring to the description in S307 above, the location of the electronic device corresponding to each signal fingerprint may also be stored in the signal fingerprint database. Therefore, the signal fingerprint module can acquire the distance between the position of the electronic equipment and the position corresponding to each signal fingerprint, and when the distance between the position of the signal fingerprint module responding to the electronic equipment and the first signal fingerprint is smaller than the preset distance, the signal fingerprint module matches the characteristics of the second parameter in the second preset duration in the sliding window with the first signal fingerprint. The first signal fingerprint is a signal fingerprint in a signal fingerprint database.
In the embodiment of the application, the signal fingerprint module responds that the distance between the position of the electronic equipment and the position corresponding to the signal fingerprint is smaller than the preset distance, the characteristics of the second parameter in the second preset duration in the sliding window are matched with the signal fingerprint in the signal fingerprint database, the situation that the signal fingerprint module needs to recalculate the characteristics of the second parameter and each signal fingerprint can be avoided, the calculated amount is reduced, and the efficiency of the signal fingerprint module can be improved.
S308A, the signal fingerprint module sends weak signal prompt information to the AP through the RIL.
If the characteristics of the second parameter in the second preset duration in the sliding window are successfully matched with the signal fingerprint in the signal fingerprint database, the signal fingerprint module can determine that the electronic equipment is about to enter the weak signal position, and the signal fingerprint module can send weak signal prompt information to the AP through the RIL. The weak signal prompt message is used to indicate the AP that the electronic device is about to enter a weak signal location, so that the AP may adjust the policy for performing the data service.
S309A, the AP responds to the received weak signal prompt information, and executes the data service by adopting a strategy corresponding to the application program based on the application program operated by the foreground of the electronic equipment.
And the AP can determine that the electronic equipment is about to enter the weak signal position in response to the received weak signal prompt information, detect the application program operated by the foreground of the electronic equipment and further execute the data service by adopting a strategy corresponding to the application program based on the application program operated by the foreground of the electronic equipment.
In one embodiment, an interface management service (AMS) may be included in the AP for managing an interface displayed by the electronic device. When the electronic device starts an application program, or switches the application program, or switches an interface in the application program, the AMS may create the interface, where the interface has a mapping relationship with the application program. In one embodiment, the AP may query the application to which the interface created by the AMS belongs, and determine the application running in the foreground of the electronic device.
Or, in an embodiment, the AP may query the application program to which the foreground process belongs, and then use the application program to which the foreground process belongs as the application program that runs in the foreground of the electronic device.
For the video application program, the AP detects that the application program running in the foreground of the electronic device is the video application program, and the electronic device is playing the video, and may play the video by adopting a policy such as "increasing the video buffer amount". Wherein, in response to detecting that the data amount of the media stream data is greater than the data amount threshold, the AP may determine that the electronic device is playing a video, and then the AP may execute a policy of "increasing a video buffer amount".
In an embodiment, the AP may perform the data service by using a policy corresponding to an application program based on the application program executed in the foreground of the electronic device. It should be understood that different applications may have different policies for performing data services. The policy of the AP to perform data traffic in several applications is exemplarily described in the embodiments of the present application with reference to the following table one, where not all applications are enumerated.
Watch 1
Figure BDA0003277910540000141
As shown in table one, for the video application, if the buffer amount of the video is 10% (i.e. 10% of the entire video) before the AP does not receive the weak signal prompt message from the signal fingerprint module, when the AP receives the weak signal prompt message from the signal fingerprint module, the buffer amount of the video may be increased to a preset value, and the preset value may be 30%.
Based on the relevant description in S307, the signal fingerprint database may further store the first parameter of the electronic device corresponding to each signal fingerprint. In this embodiment, the weak signal prompt message may include a second parameter of the electronic device. In one embodiment, the AP may determine a specific value for increasing the video buffer amount based on a target parameter in the second parameter of the electronic device. For example, when the target parameter is RSRP, for example, the AP may store a mapping relationship between RSRP and a value of the video buffer amount, and the AP may determine the value of increasing the video buffer amount based on the RSRP in the second parameter and the mapping relationship. It is to be understood that the target parameter may be at least one second parameter, the target parameter being preset.
Illustratively, table two is a mapping of RSRP to a value of video buffer size:
watch two
Figure BDA0003277910540000142
Based on the table two, in this embodiment, S309A may be replaced with S309B: and the AP responds to the received weak signal prompt message, and executes the data service by adopting a strategy corresponding to the application program based on the application program operated by the foreground of the electronic equipment and the second parameter of the electronic equipment. If the application program running in the foreground of the electronic device is a video application program, the RSRP of the electronic device is a3, and the RSRP is between "a1 and" a5", the buffer amount of the video can be increased by 40% by the AP. It should be understood that table one and table two may be stored in the AP in one embodiment, as illustrated above for example. Alternatively, in one embodiment, table one and table two may be merged together, as shown in table three below, table three may be stored in the AP.
Watch III
Figure BDA0003277910540000151
For the audio application, the AP may implement the audio service by using a policy of increasing the audio buffer amount, and refer to the above description related to the video application.
For a browser application (e.g., a news application, a social application, etc.), the AP may cache the current page and the pages corresponding to all the triggerable controls on the current page. Wherein, the AP caching the current page means: the AP caches all elements on the current page. The elements may be: images, text, controls, etc. The control which can be triggered on the current page is a control which can be operated by a user. Illustratively, the current page includes a control 1, the user operates the control 1, the current page of the electronic device can jump to the page 1, the page corresponding to the control 1 is the page 1, and the AP can cache the page 1.
Based on the above table three, for the video application and the audio application, the AP may perform the data service by using a policy of increasing the amount of buffering based on the application running in the foreground of the electronic device and the second parameter of the electronic device. For the browser-type application program, the AP may execute the data service based on the application program run in the foreground of the electronic device, and without combining the second parameter of the electronic device, by adopting a policy of caching the page browsed by the user in advance and the pages corresponding to all the triggerable controls on the current page. In other words, for the target type of application, the AP may perform the data service by using the policy corresponding to the application based on the application executed in the foreground of the electronic device and the second parameter of the electronic device. The target type application program may include: video type applications and audio type applications, etc.
Referring to fig. 7, taking the electronic device playing a video as an example, when the user is at location a, the signal fingerprint module determines that the electronic device is not about to enter the weak signal location, and the electronic device can smoothly play the video. When the user moves to the position C, the signal fingerprint module determines that the electronic equipment is about to enter the weak signal position, and then the signal fingerprint module can send weak signal prompt information to the AP. The AP may increase the buffer amount of the video at the location C in response to receiving the weak signal prompt message, and the electronic device may smoothly play the video when the user moves to the location B because the electronic device has buffered the video in advance.
In the embodiment of the application, the signal fingerprint module can learn a signal fingerprint database in advance, and because the signal fingerprints in the signal fingerprint database are obtained based on the first parameter of the electronic equipment before the electronic equipment is located at the weak signal position, the signal fingerprint module can detect whether the electronic equipment is about to enter the weak signal position based on the second parameter of the electronic equipment and the signal fingerprint database, can predict whether the electronic equipment is about to enter the weak signal position, and is high in timeliness. In addition, when the signal fingerprint module determines that the electronic equipment is about to enter the weak signal position, the data service strategy can be adjusted in advance based on an application program of a foreground of the electronic equipment, for example, the buffer amount of the video is increased in advance, so that the abnormal phenomena of data service blockage and the like when the electronic equipment enters the weak signal position can be avoided, and the user experience is improved.
In the above embodiment, for the location reached by the user for the first time, the signal fingerprint obtained by the electronic device based on the parameter of the electronic device is not self-learned, and therefore, it is impossible to detect whether the electronic device is about to enter the weak signal location when the electronic device reaches the location.
Based on the problem, the embodiment of the application provides a data service processing method, electronic devices of different users can interact with a cloud end, the electronic devices of the different users can report parameters of the electronic devices to the cloud end, the cloud end constructs a signal fingerprint database based on the parameters of the electronic devices through self-learning, and detects whether the electronic devices are about to enter a weak signal position or not based on the signal fingerprint database. Because the number of the electronic devices reported to the cloud is large, the position range covered by the signal fingerprints in the signal fingerprint database constructed by the cloud self-learning is wide, and the accuracy for detecting whether the electronic devices are about to enter the weak signal positions is high.
In one embodiment, the cloud may be a server or a cluster of multiple servers.
Fig. 8 is a flowchart illustrating a data service processing method according to another embodiment of the present application. Referring to fig. 8, a data service processing method provided in an embodiment of the present application may include:
s801, the electronic equipment collects first parameters of the electronic equipment.
As in the above embodiment, the communication protocol layer in the electronic device may collect the first parameter of the electronic device, and refer to the relevant description in S301.
S802, the electronic device reports the first parameter to the cloud.
It should be understood that the first parameter reported by the electronic device to the cloud may be performed in the above S302-S304 before, and therefore the first parameter reported by the electronic device to the cloud may be understood as the first parameter processed in the above S304.
S803, the cloud end responds to the fact that the electronic equipment is detected to be in the weak signal position, and generates a signal fingerprint based on the first parameter.
Based on the description in S306, the signal fingerprinting module and/or the AP may detect whether the electronic device is in a weak signal location. In one embodiment, in response to the signal fingerprinting module and/or the AP detecting that the electronic device is in a weak signal location, the electronic device may send a weak signal message to the cloud, the weak signal message characterizing that the electronic device is in a weak signal location. The electronic device may send a weak signal release message to the cloud in response to detecting that the electronic device moved out of the weak signal position.
The cloud end can determine that the electronic device is in a weak signal position in response to receiving prompt information of the electronic device. The cloud end, in response to the electronic device being in the weak signal position, may generate a signal fingerprint based on the first parameter of the electronic device, which may specifically refer to the relevant description in S306 above. It should be noted that the cloud may generate a plurality of signal fingerprints based on the first parameter of the different electronic devices.
In an embodiment, in response to that the cloud does not receive the weak signal release message from the electronic device within a first preset time period after receiving the weak signal message, it may determine that the electronic devices are all at the weak signal position within the first preset time period, and the cloud may generate a plurality of signal fingerprints based on the first parameters of different electronic devices within a second preset time period before the first preset time period, which may refer to the relevant description in S306.
S804, the cloud end constructs a signal fingerprint database based on the signal fingerprints.
S804 may refer to the related description in S307, and it should be noted that the signal fingerprint database constructed by the cloud includes a plurality of signal fingerprints, and different signal fingerprints may be obtained by the cloud based on the first parameters of different electronic devices.
In this embodiment, the cloud may also perform S805-S810. It should be understood that S805-S810 and S801-S804 may be executed simultaneously, or S805-S810 is executed after S801-S804, which is not limited by the embodiment of the present application:
and S805, the electronic equipment acquires a second parameter of the electronic equipment.
And S806, the electronic equipment reports the second parameter to the cloud.
S805 and S806 may refer to the description related to S801 and S802.
S807, the cloud acquires the characteristics of the second parameter.
The cloud obtains the feature of the second parameter, which is the same as the way for the signal fingerprint module to obtain the feature of the second parameter, and reference may be made to the relevant description in S306A.
And S808, the cloud matches the characteristics of the second parameter in the second preset time length in the sliding window with the signal fingerprint in the signal fingerprint database. If the matching is successful, S809 is executed, and if the matching is unsuccessful, the sliding window is slid, and S808 is executed.
The cloud matches the feature of the second parameter in the second preset duration in the sliding window with the signal fingerprint in the signal fingerprint database, and may refer to the way that the signal fingerprint module in S307A matches the feature of the second parameter in the second preset duration in the sliding window with the signal fingerprint in the signal fingerprint database.
And S809, the cloud sends weak signal prompt information to the electronic equipment.
And S810, the electronic equipment responds to the received weak signal prompt information and executes data service by adopting a strategy corresponding to the application program based on the application program operated by the foreground of the electronic equipment.
The weak signal indication information may refer to the correlation description in S308A, and S810 may refer to the correlation description in S309A.
In this application embodiment, electronic equipment can report electronic equipment's parameter to the high in the clouds, the high in the clouds can be based on a plurality of electronic equipment's parameter, found signal fingerprint database, compare in the signal fingerprint database that electronic equipment found based on self parameter, the signal fingerprint in the signal fingerprint database that the high in the clouds was found is more, abundanter, when electronic equipment reaches a position for the first time, the signal fingerprint that the high in the clouds can adopt other electronic equipment's parameter to establish, detect whether electronic equipment is about to get into weak signal position, application scope is wider, the accuracy is higher.
The structure of the electronic device may refer to fig. 2, and in an embodiment, referring to fig. 9, for the electronic device, the data service processing method provided in this embodiment may include:
s901, a first parameter of the electronic device is obtained, wherein the first parameter is related to the signal quality of the electronic device.
S901 may refer to the related description in S301A-S305A as above, and the first parameter in S901 may be understood as the second parameter after processing in S305A. It should be understood that in the above embodiments, the parameter of the signal fingerprint in the signal fingerprint database is acquired as the first parameter, and the feature matched with the signal fingerprint is taken as the feature of the second parameter. In S901 to S904, the feature matched with the signal fingerprint is the feature of the first parameter, and the parameter for acquiring the signal fingerprint in the signal fingerprint database is the second parameter. The terms "first" and "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance, nor order.
And S902, acquiring the characteristics of the first parameter according to the first parameter.
S902 may refer to the related description in S306A above. In an embodiment, the feature of the first parameter may be a feature vector, which may be referred to in the above description of the embodiment.
And S903, matching the characteristics of the first parameter in the first preset time with the signal fingerprint in the signal fingerprint database, wherein the signal fingerprint is obtained based on the characteristics of a second parameter of the electronic equipment before the target position, the type of the second parameter is the same as that of the first parameter, and the signal quality at the target position is less than the preset signal quality.
S903 may refer to the related description in S307A described above.
In one embodiment, the first parameter includes: in order to reduce the calculation amount of the electronic device, the electronic device may obtain a distance between the position of the electronic device and a position corresponding to the signal fingerprint, and further match the feature of the first parameter within the first preset time period with the signal fingerprint having the distance smaller than the preset distance, which may specifically refer to the relevant description in the foregoing embodiment.
And S904, if the characteristics of the first parameter within the first preset duration are successfully matched with the signal fingerprint in the signal fingerprint database, controlling the electronic equipment to process the data service of the application program by adopting a strategy corresponding to the application program operated by the foreground of the electronic equipment.
S904 may refer to the related descriptions in S308A and S309A described above. For example, if the application running in the foreground of the electronic device is a video application, the electronic device detects that the application running in the foreground of the electronic device is a video application and the electronic device is playing a video, a policy such as "increase video buffer amount" may be used to play the video.
In one embodiment, the first parameter includes at least one of: reference signal received power, reference signal received quality, received signal strength indication, signal to interference plus noise ratio, doppler signal. The electronic device may control the electronic device to process the data service of the application program by using the policy corresponding to the application program according to the first parameter, and refer to the relevant description in the foregoing embodiment.
The principle and technical effect of the data service processing method provided by the embodiment of the present application may refer to the related description in the above embodiments, and are not described herein again.
In an embodiment, an embodiment of the present application further provides an electronic device, where the electronic device may be the electronic device or the server described in the foregoing embodiment, and the electronic device may include: a processor (e.g., CPU), memory. The memory may include a random-access memory (RAM) and may also include a non-volatile memory (NVM), such as at least one disk memory, in which various instructions may be stored for performing various processing functions and implementing the method steps of the present application. Optionally, the electronic device related to the present application may further include: a power supply, a communication bus, and a communication port. The communication port is used for realizing connection communication between the electronic equipment and other peripherals. In an embodiment of the present application, the memory is used to store computer executable program code, the program code comprising instructions; when the processor executes the instruction, the instruction causes the processor of the electronic device to execute the actions in the method embodiments, which are similar in implementation principle and technical effect and are not described herein again.
In one embodiment, a display may be included in the electronic device for displaying an interface of the electronic device.
It should be noted that the modules or components described in the above embodiments may be one or more integrated circuits configured to implement the above methods, for example: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), etc. For another example, when one of the above modules is implemented in the form of a processing element scheduler code, the processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor that can call program code, such as a controller. As another example, these modules may be integrated together, implemented in the form of a system-on-a-chip (SOC).
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions according to the embodiments of the present application are all or partially generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid State Disk (SSD)), among others.
The term "plurality" herein means two or more. The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship; in the formula, the character "/" indicates that the preceding and following related objects are in a relationship of "division". In addition, it is to be understood that the terms first, second, etc. in the description of the present application are used for distinguishing between the descriptions and not necessarily for describing a sequential or chronological order.
It is to be understood that the various numerical references referred to in the embodiments of the present application are merely for descriptive convenience and are not intended to limit the scope of the embodiments of the present application.
It should be understood that, in the embodiment of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiment of the present application.

Claims (19)

1. A data service processing method is characterized by comprising the following steps:
acquiring a first parameter of an electronic device, wherein the first parameter is related to the signal quality of the electronic device;
acquiring the characteristics of the first parameter according to the first parameter;
matching the characteristics of a first parameter within a first preset time with signal fingerprints in a signal fingerprint database, wherein the signal fingerprints are obtained based on the characteristics of a second parameter of the electronic equipment before the electronic equipment is located at a target position, the type of the second parameter is the same as that of the first parameter, and the signal quality at the target position is smaller than the preset signal quality;
and if the characteristics of the first parameter within the first preset duration are successfully matched with the signal fingerprint in the signal fingerprint database, controlling the electronic equipment to adopt a strategy corresponding to an application program operated by the foreground of the electronic equipment to process the data service of the application program.
2. The method of claim 1, wherein the feature of the first parameter is a feature vector, and wherein the feature vector is a vector consisting of the first parameter.
3. The method according to claim 1 or 2, wherein the signal fingerprint database includes at least one signal fingerprint, and the matching the characteristic of the first parameter within the first preset time duration with the signal fingerprint in the signal fingerprint database includes:
acquiring the similarity between the characteristics of the first parameter in the first preset time length and each signal fingerprint;
the matching of the characteristics of the first parameter within the first preset time length and the signal fingerprint in the signal fingerprint database is successful, and the matching comprises the following steps:
and if the similarity is greater than the preset similarity, determining that the matching is successful.
4. The method according to any one of claims 1-3, wherein the first parameter comprises: the location of the electronic device, the signal fingerprint database comprising: the matching of the characteristics of the first parameter within the first preset time duration with the signal fingerprint in the signal fingerprint database includes:
acquiring the distance between the position of the electronic equipment and the position corresponding to the signal fingerprint;
and matching the characteristics of the first parameter in the first preset time with the signal fingerprint with the distance less than the preset distance.
5. The method according to any of claims 1-4, wherein the first parameter comprises at least one of: the method for processing the data service of the application program by controlling the electronic equipment to adopt a strategy corresponding to the application program operated by the foreground of the electronic equipment includes the following steps:
and controlling the electronic equipment to process the data service of the application program by adopting a strategy corresponding to the application program according to the first parameter.
6. The method according to any of claims 1-5, wherein the first parameter comprises at least one of: reference signal received power, reference signal received quality, received signal strength indication, signal to interference plus noise ratio, doppler signal, and location of the electronic device.
7. The method according to any one of claims 1 to 6, wherein the controlling the electronic device to process the data service of the application program by using the policy corresponding to the application program running in the foreground of the electronic device comprises:
and sending weak signal indication information to the electronic equipment, wherein the weak signal indication information is used for indicating the electronic equipment to adopt the strategy corresponding to the application program and process the data service of the application program.
8. The method of any of claims 1-7, wherein obtaining the first parameter of the electronic device is preceded by:
acquiring the second parameter;
acquiring the characteristics of the second parameter according to the second parameter;
in response to detecting that the electronic equipment is located at a target position, acquiring a signal fingerprint based on the characteristics of a second parameter within the first preset time length;
and constructing the signal fingerprint database according to the signal fingerprints.
9. The method of claim 8, wherein the obtaining a signal fingerprint based on the characteristic of the second parameter within the first preset time period in response to detecting that the electronic device is at the target location comprises:
and in response to the detection that the electronic equipment is located at the target position within a second preset time length, acquiring the signal fingerprint based on the characteristics of a second parameter within the first preset time length before the second preset time length.
10. The method of claim 9, wherein the second parameter is at least one, and the detecting that the electronic device is at the target position within the second preset time period comprises:
and if the target parameter in the second parameters is detected to be smaller than the threshold of the target parameter within the second preset time, determining that the electronic equipment is at the target position.
11. The method of claim 9, wherein the detecting that the electronic device is at the target location for the second preset duration comprises:
and if the abnormality of the application program running in the foreground of the electronic equipment is detected within the second preset time, determining that the electronic equipment is in the target position.
12. The method of claim 9, wherein the detecting that the electronic device is at the target location for the second preset duration comprises:
and if the grid number of the signal intensity displayed on the interface of the electronic equipment is detected to be smaller than the preset grid number within the second preset time, determining that the electronic equipment is located at the target position.
13. The method of claim 9, wherein the detecting that the electronic device is at the target location for the second preset duration comprises:
if a weak signal release message from the electronic equipment is not received within the second preset time after the weak signal message from the electronic equipment is received, determining that the electronic equipment is at a target position, wherein the weak signal message is sent when the electronic equipment detects that the electronic equipment is at the target position, and the weak signal release message is sent when the electronic equipment detects that the electronic equipment moves out of the target position.
14. The method according to any one of claims 8-13, wherein the obtaining a signal fingerprint based on the characteristic of the second parameter within the first preset time period comprises:
and clustering the characteristics of the second parameter in the first preset duration to obtain at least one cluster, wherein one cluster is a signal fingerprint.
15. The method according to any one of claims 8-14, wherein the second parameter includes a location of the electronic device, and wherein after the acquiring the signal fingerprint, further comprising:
taking the central position of the electronic equipment in the second parameter within the first preset time length as a position corresponding to the signal fingerprint;
and storing the corresponding position of the signal fingerprint.
16. The method according to any of claims 8-15, wherein the second parameter comprises at least one of: reference signal received power, reference signal received quality, received signal strength indication, signal to interference plus noise ratio, doppler signal; after the acquiring the signal fingerprint, the method further comprises the following steps:
and storing a second parameter within the first preset time corresponding to the signal fingerprint.
17. A data traffic processing apparatus, comprising:
the communication protocol layer is used for acquiring a first parameter of the electronic equipment;
a signal fingerprinting module for:
acquiring the characteristics of the first parameter according to the first parameter;
matching the characteristics of a first parameter within a first preset time with a signal fingerprint in a signal fingerprint database, wherein the signal fingerprint is obtained based on a second parameter of the electronic equipment before the electronic equipment is located at a target position, and the type of the second parameter is the same as that of the first parameter;
and if the characteristics of the first parameter in the first preset time length are successfully matched with the signal fingerprint in the signal fingerprint database, the application processor AP is used for controlling the electronic equipment to process the data service of the application program by adopting a strategy corresponding to the application program operated by the foreground of the electronic equipment.
18. A computer-readable storage medium, in which a computer program or instructions are stored which, when executed, implement the method of any one of claims 1-16.
19. A computer program product comprising a computer program or instructions, characterized in that the computer program or instructions, when executed by a processor, implement the method of any of claims 1-16.
CN202111123564.0A 2021-09-24 2021-09-24 Data service processing method and device, electronic equipment and readable storage medium Pending CN115859071A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111123564.0A CN115859071A (en) 2021-09-24 2021-09-24 Data service processing method and device, electronic equipment and readable storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111123564.0A CN115859071A (en) 2021-09-24 2021-09-24 Data service processing method and device, electronic equipment and readable storage medium

Publications (1)

Publication Number Publication Date
CN115859071A true CN115859071A (en) 2023-03-28

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Family Applications (1)

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Country Status (1)

Country Link
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