CN111901825A - Wireless communication network quality evaluation method and device based on network quality slice - Google Patents
Wireless communication network quality evaluation method and device based on network quality slice Download PDFInfo
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Abstract
The application provides a wireless communication network quality evaluation method and device based on network quality slices. The method comprises the following steps: the mobile terminal may obtain quality assessment information. The quality evaluation information includes terminal information, environment information, network information, user perception, and the like. The mobile terminal may also obtain a network quality slice. The network quality slice is a wireless communication network segment with preset duration and preset interval. And the mobile terminal inputs the quality evaluation information and the network quality slice into a network quality prediction model to obtain a prediction result. According to the prediction result, the mobile terminal determines a wireless communication network quality evaluation result based on the network quality slice. The method of the application enables the user to realize the quality detection of the wireless communication network of the user at any time and any place, thereby improving the agility and the real-time performance of the wireless communication network quality evaluation based on the network quality slice.
Description
Technical Field
The present application relates to communications technologies, and in particular, to a method and an apparatus for evaluating quality of a wireless communication network based on network quality slicing.
Background
With the rapid development of civil wireless communication technology, the wireless communication technology realizes the leap-type progress from 2G voice technology to 5G large-bandwidth mass access. Meanwhile, the rapid popularization of wireless communication technology realizes rapid increase of user quantity and coverage area. In the face of huge wireless communication coverage networks and complex wireless communication technologies, the sensing and control difficulty of operators on the wireless communication networks is increased. To enhance the quality control of the wireless communication network by the operator, network testing techniques are applied to the wireless communication network.
Currently, the mainstream wireless communication network testing technology generally adopts professional testing software or system to realize the perception of the wireless communication network. The network test system usually takes large professional hardware equipment as a basis, and realizes the perception and evaluation of the wireless communication network through long-time continuous test of a foreground professional terminal and the processing and analysis of a background special server.
However, the method for implementing the quality evaluation of the wireless communication network by the mainstream wireless communication network test technology has the disadvantages of low agility and poor real-time performance.
Disclosure of Invention
The application provides a wireless communication network quality evaluation method and device based on network quality slices, which are used for solving the problems of low agility and poor real-time performance in the existing wireless communication network test technology.
In a first aspect, the present invention provides a method for evaluating the quality of a wireless communication network based on network quality slicing, including:
acquiring quality evaluation information, wherein the quality evaluation information comprises terminal information, environment information, network information and user perception;
acquiring a network quality slice, wherein the network quality slice is a wireless communication network segment within a preset time length;
and determining a wireless communication network quality evaluation result according to the quality evaluation information and the network quality slice.
Optionally, before the obtaining the network quality slice, the method further includes:
and acquiring an evaluation instruction, wherein the evaluation instruction is used for indicating the mobile terminal to start to collect the network quality slice.
Optionally, before the obtaining of the evaluation instruction, the method further includes:
and outputting the quality evaluation information in real time.
Optionally, the method comprises:
acquiring a default user perception parameter, and determining the default user perception parameter as the user perception;
alternatively, the first and second electrodes may be,
and acquiring a user selection instruction, and determining the user perception according to the user selection instruction, wherein the user selection instruction is used for indicating user perception parameters selected by a user.
Optionally, the obtaining the network quality slice includes:
and acquiring a preset number of the network quality slices according to the preset duration and the sampling period of the network quality slices.
Optionally, the method further comprises:
and when the total duration of the network quality slices is less than the total preset duration, collecting a preset number of the network quality slices.
Optionally, the method further comprises:
and uploading the quality evaluation information and the network quality slice, wherein the uploading mode is asynchronous transmission.
In a second aspect, the present application provides a wireless communication network quality assessment apparatus based on network quality slicing, including:
the first acquisition module is used for acquiring quality evaluation information, wherein the quality evaluation information comprises terminal information, environment information, network information and user perception;
the second acquisition module is used for acquiring a network quality slice, wherein the network quality slice is a network information segment with preset duration;
and the determining module is used for determining the wireless communication network quality evaluation result according to the quality evaluation information and the network quality slice.
Optionally, before the second obtaining module, the method further includes:
the first instruction module is used for obtaining an evaluation instruction, and the evaluation instruction is used for indicating the mobile terminal to start to collect the network quality slice.
Optionally, before the first instruction module, the method further includes:
and the output module is used for outputting the quality evaluation information in real time.
Optionally, the apparatus, comprising:
the parameter module is used for acquiring default user perception parameters and determining the default user perception parameters as the user perception;
alternatively, the first and second electrodes may be,
and the second instruction module is used for acquiring a user selection instruction and determining the user perception according to the user selection instruction, wherein the user selection instruction is used for indicating the user perception parameters selected by the user.
Optionally, the second obtaining module includes:
and the acquisition submodule is used for acquiring a preset number of network quality slices according to the preset duration and the sampling period of the network quality slices.
Optionally, the apparatus further comprises:
and the judgment submodule is used for collecting a preset number of network quality slices when the total duration of the network quality slices is less than the total preset duration.
Optionally, the apparatus further comprises:
and uploading the quality evaluation information and the network quality slice, wherein the uploading mode is asynchronous transmission.
In a third aspect, the present application provides a mobile terminal, comprising: the device comprises a memory, a processor, a display and a radio frequency module;
a memory for storing the processor-executable instructions;
a processor for invoking program instructions in a memory to perform the method for network quality slice-based wireless communication network quality assessment in the first aspect and any one of the possible designs of the first aspect;
a display for outputting the quality assessment information and a wireless communication network quality assessment result based on a network quality slice;
and the radio frequency module is used for receiving, sending and processing the converted radio waves.
In a fourth aspect, the present application provides a readable storage medium, where an execution instruction is stored, and when the execution instruction is executed by at least one processor of a mobile terminal, the mobile terminal performs the method for evaluating the quality of a wireless communication network based on network quality slices in any one of the possible designs of the first aspect and the first aspect.
According to the wireless communication network quality evaluation method and device based on the network quality slice, quality evaluation information is obtained, wherein the quality evaluation information comprises terminal information, environment information, network information and user perception; acquiring a network quality slice, wherein the network quality slice is a wireless communication network segment within a preset time length; and determining the quality evaluation result of the wireless communication network according to the quality evaluation information and the network quality slice, so that the user can realize the quality detection of the wireless communication network of the user at any time and any place, thereby improving the agility and the real-time property of the quality evaluation of the wireless communication network. Meanwhile, the method meets the operation requirement of evaluating and reporting the wireless communication network when the user complains, and is beneficial to an operator to obtain the quality evaluation information of one hand of the mobile terminal at the moment of the user complaint, thereby improving the processing efficiency of the operator for the user complaint. In addition, the method is used, so that the operators can acquire the coverage condition of the wireless communication network more comprehensively, and the operators can optimize and maintain the wireless communication network.
Drawings
In order to more clearly illustrate the technical solutions in the present application or the prior art, the following briefly introduces the drawings needed to be used in the description of the embodiments or the prior art, and it is obvious that the drawings in the following description are some embodiments of the present application, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a wireless communication network quality evaluation system based on network quality slicing according to an embodiment of the present application;
fig. 2 is a flowchart of a method for evaluating quality of a wireless communication network based on network quality slices according to an embodiment of the present application;
fig. 3 is a flowchart of another method for evaluating the quality of a wireless communication network based on network quality slices according to an embodiment of the present application;
fig. 4 is a display interface diagram of a mobile terminal according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a wireless communication network quality evaluation device based on network quality slice according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of another wireless communication network quality evaluation device based on network quality slice according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a wireless communication network quality evaluation device based on network quality slicing according to an embodiment of the present application;
fig. 8 is a schematic hardware structure diagram of a mobile terminal according to an embodiment of the present application.
Detailed Description
To make the purpose, technical solutions and advantages of the present application clearer, the technical solutions in the present application will be clearly and completely described below with reference to the drawings in the present application, and it is obvious that the described embodiments are some, but not all embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
With the rapid development of wireless communication technology, the wireless communication technology realizes the leap-type progress from 2G voice technology to 5G large-bandwidth mass access. Meanwhile, the rapid popularization of wireless communication technology realizes rapid increase of user quantity and coverage area. In the face of sophisticated wireless communication technologies, it is increasingly difficult for ordinary users to distinguish and understand the related technologies and the underlying principles. In the face of a wireless communication network with wide coverage, operators are increasingly difficult to efficiently and finely perceive and control related network quality and technical indexes.
The optimization and maintenance construction of the wireless communication network depends on the requirements and quality of the wireless communication network. At present, the quality of a wireless communication network is mainly tested by a network test perception system. The mainstream network test perception system is mainly based on large professional hardware equipment, and takes long-time continuous test of a foreground professional terminal and a background special processing and analyzing server as a main operation mode. The requirements of the wireless communication network can be evaluated according to conventional customer complaints and fixed-period network tests.
In the actual use process, the time and the place where the user perceives the occurrence are highly random. However, due to the platform characteristics of the network test sensing system, the parameter index of the network test sensing system is usually obtained as an average index in a fixed area or quality in a fixed time. In addition, the test of the network test perception system generally cannot acquire the subjective feeling of the user. Particularly, when a customer initiates a complaint to an operator or a network test sensing system finds that the index of the wireless communication network is abnormal, due to the contingency of the situation, even if a worker is dispatched to the abnormal place, the scene at that time is difficult to reproduce.
In order to solve the above problems, the present application provides a wireless communication network quality assessment method based on network quality slice. The mobile terminal may obtain quality assessment information of the user in real time and display the quality assessment information in a display of the mobile terminal. The user can view the quality assessment information in real time. The user can also obtain the network quality slice at the current moment through one-key evaluation, and upload the network quality slice to the server. The mobile terminal can also obtain and output the current network quality, and the server analyzes the obtained current network quality according to the network quality slice. The network quality slices are slices of short-period small samples, the time interval of each network quality slice is 0.5-2 seconds, and the total time length of all the network quality slices is within the range of 1-10 seconds.
The mobile terminal measures the quality of a wireless network in real time when the mobile terminal uses the wireless communication network in order to ensure the validity of detection. Taking the 4G network as an example, the measurement information includes wireless network base station information, serving cell configuration parameters, Reference Signal Receiving Power (RSRP) network field strength, Signal to Interference plus Noise Ratio (SINR) of the serving cell, information of each neighboring cell, and field strength. Besides the 4G network, the mobile terminal can also support network modes such as 2G, 3G, 4G, 5G, etc., or multiple network modes.
Fig. 1 shows a schematic structural diagram of a wireless communication network quality evaluation system based on network quality slice according to an embodiment of the present application. In the network quality evaluation system, according to the main functions and responsibilities of the system, the mobile terminal can be divided into three layers, namely an acquisition control layer, a communication layer, a service layer and the like, and the server can comprise an AI big data network evaluation background. The mobile terminal can realize data interaction with an AI big data network evaluation background of the server through a communication layer. The communication layer sends quality evaluation information to the AI big data network evaluation background, and the AI big data network evaluation background evaluates the wireless communication network according to the quality evaluation information. And then, the mobile terminal feeds back the evaluation result fed back by the server to the user.
The acquisition control layer can comprise three modules of data monitoring, sampling control and storage control. The data monitoring module is used for realizing real-time refreshing of various indexes and ensuring data effectiveness when data are updated. The sampling control module realizes accurate control of wireless network sampling through the thread control block, and ensures timeliness and effectiveness of data. The storage control module comprises a plurality of bottom data processing interfaces, and the mobile terminal realizes data sorting and storage of wireless channel network indexes through the interfaces. The acquisition control layer realizes the acquisition of information such as hardware information, baseband data, relevant configuration data of an operating system and the like through the three modules. The hardware information specifically includes an IMEI, a terminal model, and the like. The baseband data specifically includes an operator, IMSI, network type, base station number, cell number, and the like.
The service layer comprises main function modules of the mobile terminal, including real-time monitoring, one-key evaluation, network evaluation, subjective setting, accurate complaints, parameter configuration and the like. The real-time monitoring module is used for presenting the quality index of the wireless communication network in real time. The real-time monitoring module can help a user to master the quality of the wireless communication network at the first time. The one-key evaluation module greatly simplifies the use operation complexity of the user, reduces the use threshold, and enables the user to realize the processes of network slice sampling, storage, uploading, evaluation, feedback and the like through one-key operation. The network evaluation module is mainly used for obtaining a result fed back by the AI big data network evaluation background for a user, wherein the result is the wireless communication network quality obtained according to the analysis of the network quality slice. The subjective setting module is used for helping the user to set the network experience according to the prompt. The network experience mainly comprises experience levels selected by a user according to the current network, and is used for auxiliary evaluation and effective complaint. The accurate complaint module is used for helping a user to implement effective and accurate complaints, can remark complaint reasons and main complaints in subjective setting, is assisted by a network slicing sample and subjective network feeling, and helps background technicians to accurately position and timely feed back. The parameter configuration module is used for configuring basic parameters of the system, and the basic parameters comprise periodic sampling interval setting, slice number setting, total sample duration setting, basic method setting parameters and the like. The periodic sampling interval may include three steps of 0.5 second, 1 second, and 2 seconds. The single slice duration may include three steps of 0.2 second, 0.5 second, and 1 second. The number of slices may include 5 to 10. The total sample time can be 1-10 seconds. The default setting is 0.5 second interval, 0.2 second time for single slicing, 5 slices, and 1 second total time for slicing samples.
The communication layer is mainly used for communicating with an AI big data network evaluation background. Since the network quality may be poor when the user uses the one-touch evaluation function, the communication layer employs an asynchronous transmission mode. When asynchronous transmission communication is carried out, data needing to be uploaded can be stored in a local environment for a long time, and the data are uploaded when a network environment is improved. In order to improve the communication quality and efficiency in the transmission process, the communication layer uses the file format control module to convert and map the data text, so that the effective storage and transmission of the data are ensured, and the background receiving and processing are facilitated.
The AI big data network evaluation background utilizes a detection model to analyze and process the uploaded network quality slices. The AI big data network evaluation background judges the possible network problems in the network quality slice, such as weak coverage, high interference, low rate, large capacity and the like, through the analysis and prediction of the network quality slice. The detection model is a high-precision prediction model obtained by training the server by utilizing big data.
In the present application, a mobile terminal and a server are used as main execution subjects. The execution subject may be a hardware device of the mobile terminal and the server, such as a mobile phone, a tablet, and the like, or the execution subject may be a software application implementing the following embodiments in the mobile terminal, or a computer-readable storage medium installed with a software application implementing the following embodiments. The following describes an embodiment of the present application with a use process of a mobile terminal as a main technical process.
Fig. 2 is a flowchart illustrating a method for evaluating the quality of a wireless communication network based on network quality slices according to an embodiment of the present application. On the basis of the embodiment shown in fig. 1, as shown in fig. 2, with a mobile terminal as an execution subject, the method of this embodiment may include the following steps:
s101, quality evaluation information is obtained, wherein the quality evaluation information comprises terminal information, environment information, network information and user perception.
In this embodiment, the mobile terminal obtains the quality evaluation information of the mobile terminal through the acquisition control layer as shown in fig. 1. The quality evaluation information may include terminal information, environment information, network information, user perception, and the like.
Specifically, the terminal information may include a terminal brand, a terminal model, an International Mobile Equipment Identity (IMEI), a hardware configuration, a baseband model, an operating system version, and the like. The context information may include system time and location information. The network information may include basic service information and network slice information. The user perception information may include network signal lattice number, network rate range, voice quality assessment, ambient environmental conditions, and the like.
The basic service information may include operator information, IMSI, service number, network type, and dual card configuration information. The network slice information may include Global System for mobile communications (GSM) Signal strength, GSM error rate, Code Division Multiple Access (CDMA) Signal strength, CDMA chip Energy to total received spectral density Ratio, Wideband Code Division Multiple Access (WCDMA) pilot Channel (RSCP) Signal strength, WCDMA ECIO (Energy per chip/Interference Other Cell, ECIO) Energy per chip to Interference Power density Ratio, EVDO (Evolution on) Signal strength, do (Evolution on) Energy per chip to Interference Power density Ratio, EVDO Signal to Noise Ratio (SINR), 4G network pilot Power, 4G network Signal to Noise Ratio, 4G network pilot Channel quality indication, 4G network synchronization reference Signal quality indication, 5G network synchronization reference Signal quality indication, and WCDMA network synchronization reference Signal quality indication, The system comprises a 5G network synchronization reference signal-to-noise ratio and an interference ratio, a received signal strength indication, a main service base station identification, a main service cell identification, a Tracking Area (TA) identification, a network type, a service frequency point, adjacent cell information (adjacent cell signal strength, adjacent cell identification, a leaving network type, an adjacent cell frequency point) and the like.
Wherein, the user perception information is quantization information. In general, the evaluation of the wireless communication network by the user is subject to a subjective description, and the standard of the wireless communication network cannot be quantified, so that the evaluation is meaningless. Therefore, in the present embodiment, the quantization option is used as user perception information. The user perception information may include information such as network signal lattice number, network rate range, voice quality assessment, ambient environmental conditions, etc. The number of the network signal grids may include four grids and above (default), three grids, two grids, one grid, no signal, unclear and the like. The network speed range can include the video watching speed of more than 1Mbps (default), the App picture and webpage loading normal 200kbps, the micro-message receiving and sending information normal 80kbps, the micro-message receiving and sending information katon 30kbps, no network speed of 0kbps, no ambiguity and the like. The voice quality assessment may include that voice is clear and normal (default), the other party does not hear clearly, my party hears the noise of the other party more, my party does not hear the other party completely, call is dropped directly, and the like. The ambient conditions may include open outdoors with no shading (default), more people outside, fewer people outside, more people inside, fewer people inside, high speed movement, etc.
S102, obtaining a network quality slice, wherein the network quality slice is a wireless communication network segment within a preset time length.
In this embodiment, the mobile terminal enters a short-period small sample collection process after acquiring an instruction to start collecting network quality slices. The mobile terminal samples the network quality once every 500-2000 milliseconds. The time length of each sampling of the mobile terminal is determined according to preset parameters, and the time length of each single slice of each sampling can be one of 200 milliseconds, 500 milliseconds or 1 second. In each sampling period, the sampling frequency of the mobile terminal can be 5-10 times. And when the number or the total duration of the network quality slices acquired by the mobile terminal reaches a preset value, the mobile terminal uploads the network quality slices to the server. Wherein the preset total duration of the network quality can be 1-10 seconds. The storage mode of each network quality slice may be dotting storage.
S103, determining a wireless communication network quality evaluation result according to the quality evaluation information and the network quality slice.
In this embodiment, after acquiring the quality evaluation information and the network quality slice according to S101 and S102, the mobile terminal predicts the network quality of the wireless communication network according to the quality evaluation information and the network quality slice. And the mobile terminal determines the wireless communication network quality evaluation result according to the network quality of the wireless communication network.
In one implementation, the mobile terminal includes a network quality prediction model of the wireless communication network. And after the mobile terminal acquires the network quality slice, inputting the network quality slice into the prediction model.
In another implementation, the network quality prediction model of the wireless communication network is stored in a server or a cloud. After the mobile terminal obtains the network quality slice, the mobile terminal sends the network quality slice to a server or a cloud through a wireless mobile network. And after the server or the cloud finishes the network quality prediction of the network quality slice, feeding back the prediction result to the mobile terminal.
In one example, the quality assessment information and the network quality slice are uploaded in an asynchronous manner.
Since the network quality may be in an extremely harsh environment when the user needs to evaluate the network quality. At this time, if the network quality slice is directly uploaded, the problem of uploading failure may be caused. Thus, the mobile terminal may temporarily store the network quality slice locally. And after the network environment is improved, the mobile terminal uploads the network quality slice.
According to the wireless communication network quality evaluation method based on the network quality slice, the mobile terminal can obtain quality evaluation information. The quality evaluation information includes terminal information, environment information, network information, user perception, and the like. The mobile terminal may also obtain a network quality slice. The network quality slice is a wireless communication network segment with preset duration and preset interval. And the mobile terminal inputs the quality evaluation information and the network quality slice into a network quality prediction model to obtain a prediction result. And according to the prediction result, the mobile terminal determines the quality evaluation result of the wireless communication network. According to the method and the device, the quality evaluation information and the network quality slice are evaluated, so that the user can realize the quality detection of the wireless communication network of the user at any time and any place, and the agility and the real-time performance of the wireless communication network quality evaluation are improved. Meanwhile, the method meets the operation requirement of evaluating and reporting the wireless communication network when the user complains, and is beneficial to an operator to obtain the quality evaluation information of one hand of the mobile terminal at the moment of the user complaint, thereby improving the processing efficiency of the operator for the user complaint. In addition, the method is used, so that the operators can acquire the coverage condition of the wireless communication network more comprehensively, and the operators can optimize and maintain the wireless communication network.
Fig. 3 is a flowchart illustrating another method for evaluating the quality of a wireless communication network based on network quality slices according to an embodiment of the present application. On the basis of the embodiments shown in fig. 1 and fig. 2, as shown in fig. 3, with a mobile terminal as an execution subject, the method of the embodiment may include the following steps:
s201, quality evaluation information is obtained, wherein the quality evaluation information comprises terminal information, environment information, network information and user perception.
Step S201 is similar to the step S101 in the embodiment of fig. 2, and this embodiment is not described herein again.
And S202, outputting the quality evaluation information in real time.
In this embodiment, after acquiring the quality evaluation information, the mobile terminal outputs the quality evaluation information in the mobile terminal. As shown in fig. 4, in the display interface of the mobile terminal, the user can view the output quality evaluation information, thereby assisting the user in making relevant decisions.
S203, acquiring a default user perception parameter, and determining the default user perception parameter as user perception.
In this embodiment, when the user does not set user perception, the mobile terminal obtains a default user perception parameter and determines the default user perception parameter as user perception. The default user perception parameter corresponds to perception good. When the user perceives as perceiving well, the parameter is not processed in the network quality evaluation.
S204, obtaining a user selection instruction, and determining user perception according to the user selection instruction, wherein the user selection instruction is used for indicating user perception parameters selected by a user.
In this embodiment, the user may also set the user perception. As shown in fig. 4, an intuitive setting button is included in a display interface of the mobile terminal. When the user needs to actively set the user perception, the user can click the button to realize the setting of the perception parameters of the user.
Specifically, when the user clicks the subjective setting button, the display interface of the mobile terminal jumps to the relevant setting interface perceived by the user. The setting interface comprises setting options of information parameters such as network signal lattice number, network speed range, voice quality evaluation, surrounding environment conditions and the like. And the mobile terminal determines the grade selected by the user aiming at each parameter according to the selection instruction of the user. And the mobile terminal determines the final user perception of the user according to the selection instruction of the user aiming at each parameter.
For example, the number of network signal bins may include four and above (default), three, two, one, no signal, unclear, etc. The network speed range can include the video watching speed of more than 1Mbps (default), the App picture and webpage loading normal 200kbps, the micro-message receiving and sending information normal 80kbps, the micro-message receiving and sending information katon 30kbps, no network speed of 0kbps, no ambiguity and the like. The voice quality assessment may include that voice is clear and normal (default), the other party does not hear clearly, my party hears the noise of the other party more, my party does not hear the other party completely, call is dropped directly, and the like. The ambient conditions may include open outdoors with no shading (default), more people outside, fewer people outside, more people inside, fewer people inside, high speed movement, etc.
In one example, when the user selects a level for only some of the parameters, the remaining parameters have values of default user perception parameters.
And S205, acquiring an evaluation instruction, wherein the evaluation instruction is used for indicating the mobile terminal to start to collect the network quality slice.
In this embodiment, the user can click the one-key evaluation button to realize the acquisition, test, sorting, uploading and evaluation of the current wireless communication network quality of the mobile terminal.
Specifically, after the user clicks the button, the mobile terminal starts to collect the network quality information according to the evaluation instruction.
And S206, acquiring the network quality slice according to the preset parameters of the network quality slice.
In this embodiment, after the mobile terminal determines to start sampling according to S205, the mobile terminal obtains the preset parameters. The preset parameters include single slice duration, total sample duration, periodic sampling interval, number of slices, and the like. And according to the preset parameters, the mobile terminal acquires a preset number of network quality slices with preset duration. The preset number is the number of slices, and the preset duration is the duration of a single slice. Wherein the acquisition time interval for each slice is determined according to the periodic sampling interval. The values of the parameters in the preset parameters can be set individually by the administrator before each acquisition. Alternatively, the preset parameter may be a default parameter setting.
For example, the sampling of the network quality may be that 1s of network quality slices are acquired every 1s, and 6 network quality slices are acquired in total.
And S207, deleting the network quality slice when the duration of the network quality slice is less than the preset duration.
In this embodiment, the mobile terminal determines whether the time length of the network quality slice acquired in step S206 meets a preset time length. And if the time length of the network quality slice acquired in the step S206 is less than the preset time length, deleting the network quality slice.
For example, when the duration of a network quality slice is 0.5s and the preset duration of the network slice quality is 1s, the mobile terminal deletes the network quality slice.
And S208, when the total duration of the network quality slices is less than the total preset duration, collecting a preset number of network quality slices.
In this embodiment, the mobile terminal counts the total duration of the remaining network quality slices after being deleted in step S207. If the total duration is less than the total preset duration, it indicates that the total amount of the network quality slices acquired by the mobile terminal is insufficient. At this time, the mobile network terminal jumps back to step S206, and performs acquisition of the network quality slice again.
For example, after a slice with a duration less than the preset duration is deleted in S207, the total duration of the remaining 5 network quality slices is 5S and less than the preset total duration 6S. At this time, the process returns to step S206, and a network quality slice with a duration of 1S is collected again.
S209, determining the quality evaluation result of the wireless communication network according to the quality evaluation information and the network quality slice.
Step S209 is similar to the step S103 in the embodiment of fig. 2, and this embodiment is not described herein again.
According to the wireless communication network quality evaluation method based on the network quality slice, the mobile terminal can obtain quality evaluation information. The quality evaluation information includes terminal information, environment information, network information, user perception, and the like. And after the mobile terminal acquires the quality evaluation information, displaying the quality evaluation information on a display interface of the mobile terminal. The quality evaluation information is displayed on the display interface of the mobile terminal, so that the quality evaluation information can be displayed in real time and dynamically presented to help a user to master and know the network related index condition at the first time. The mobile terminal may also obtain a network quality slice. The network quality slice is a wireless communication network segment with preset duration and preset interval. And the mobile terminal inputs the quality evaluation information and the network quality slice into a network quality prediction model to obtain a prediction result. And according to the prediction result, the mobile terminal determines the quality evaluation result of the wireless communication network. According to the method for evaluating the quality of the wireless communication network, the effect of improving the agility and the real-time performance of evaluating the quality of the wireless communication network is achieved. The uploading of the quality evaluation information and the network quality slice and the evaluation of the wireless communication network quality enable a user to provide richer information during complaints. The abundant wireless communication network information is beneficial to the operator to obtain the quality evaluation information of one hand of the mobile terminal at the complaint moment of the user, so that the processing efficiency of the operator for the complaint of the user is improved. In addition, the method is used, so that the operators can acquire the coverage condition of the wireless communication network more comprehensively, and the operators can optimize and maintain the wireless communication network.
Fig. 5 is a schematic structural diagram of a wireless communication network quality assessment apparatus based on network quality slice according to an embodiment of the present application, and as shown in fig. 5, the wireless communication network quality assessment apparatus 10 of the present embodiment is used to implement the operation corresponding to the mobile terminal in any of the above method embodiments, and the wireless communication network quality assessment apparatus 10 of the present embodiment includes:
the first obtaining module 11 is configured to obtain quality assessment information, where the quality assessment information includes terminal information, environment information, network information, and user perception.
And a second obtaining module 12, configured to obtain a network quality slice, where the network quality slice is a network information segment with a preset duration.
And the determining module 13 is configured to determine a wireless communication network quality evaluation result according to the quality evaluation information and the network quality slice.
In one example, the quality assessment information and the network quality slice are uploaded in an asynchronous manner.
The wireless communication network quality evaluation apparatus 10 provided in the embodiment of the present application may implement the above method embodiment, and for details of implementation principles and technical effects, reference may be made to the above method embodiment, which is not described herein again.
Fig. 6 shows a schematic structural diagram of another wireless communication network quality evaluation device based on network quality slice according to an embodiment of the present application. On the basis of the embodiment shown in fig. 5, as shown in fig. 6, before the wireless communication network quality assessment apparatus 10 of this embodiment is used to implement the operation corresponding to the mobile terminal in any of the above method embodiments, and obtain the network quality slice, the wireless communication network quality assessment apparatus 10 of this embodiment further includes:
the first instruction module 14 is configured to obtain an evaluation instruction, where the evaluation instruction is used to instruct the mobile terminal to start to collect a network quality slice.
And the output module 15 is used for outputting the quality evaluation information in real time.
And the parameter module 16 is configured to obtain a default user perception parameter, and determine the default user perception parameter as user perception.
And the second instruction module 17 is configured to obtain a user selection instruction, and determine user perception according to the user selection instruction, where the user selection instruction is used to indicate a user perception parameter selected by a user.
The wireless communication network quality evaluation apparatus 10 provided in the embodiment of the present application may implement the above method embodiment, and for details of implementation principles and technical effects, reference may be made to the above method embodiment, which is not described herein again.
Fig. 7 shows a schematic structural diagram of another wireless communication network quality evaluation device based on network quality slice according to an embodiment of the present application. On the basis of the embodiments shown in fig. 5 and fig. 6, as shown in fig. 7, the wireless communication network quality evaluation apparatus 10 of this embodiment is used to implement the operation corresponding to the mobile terminal in any of the above method embodiments, and the second obtaining module 12 of this embodiment specifically includes:
the obtaining submodule 121 is configured to obtain a network quality slice according to a preset parameter of the network quality slice.
The determining submodule 122 is configured to determine whether the total duration of the network quality slice is smaller than a total preset duration.
The obtaining submodule is further used for collecting a preset number of network quality slices when the total duration of the network quality slices is smaller than the total preset duration.
The wireless communication network quality evaluation apparatus 10 provided in the embodiment of the present application may implement the above method embodiment, and for details of implementation principles and technical effects, reference may be made to the above method embodiment, which is not described herein again.
Fig. 8 shows a hardware structure diagram of a mobile terminal according to an embodiment of the present application. As shown in fig. 8, the mobile terminal 20 is configured to implement the operation corresponding to the mobile terminal in any of the above method embodiments, where the mobile terminal 20 of this embodiment may include: memory 21, processor 22, display 24 and radio frequency module 25.
A memory 21 for storing a computer program.
The Memory may include a Random Access Memory (RAM), and may further include a Non-Volatile Memory (NVM), such as at least one magnetic disk Memory, and may also be a usb disk, a removable hard disk, a read-only Memory, a magnetic disk or an optical disk.
And a processor 22 for executing the computer program stored in the memory and managing the wireless network radio frequency service to implement the wireless communication network quality evaluation method based on the network quality slice in the above embodiments. Reference may be made in particular to the description relating to the method embodiments described above.
Alternatively, the memory 21 may be separate or integrated with the processor 22.
When the memory 21 is a separate device from the processor 22, the mobile terminal 20 may further include:
a bus 23 for connecting the memory 21 and the processor 22.
The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.
A display 24, the display 24 being connectable to the processor 21 via the bus 23. Processor 22 may control display 24 to output quality assessment information and wireless communication network quality assessment results.
A radio frequency module 25, wherein the radio frequency module 25 can be connected with the processor 21 through the bus 23. The rf module 25 mainly functions to transmit and receive rf signals, synthesize frequencies, amplify power, and so on. The processor 22 may implement receiving or sending of wireless network communication data and control information through the radio frequency module 25, and implement processing and control of wireless network communication.
Specifically, the radio frequency module may include: radio frequency control unit, radio frequency transceiver, power amplifier, antenna switch, duplexer, filter, frequency synthesizer, etc. The radio frequency control unit is a special radio frequency chip and is used for realizing the function control of the radio frequency module, the interactive communication with the baseband processor and the analysis and conversion of radio wave signals. The radio frequency transceiver comprises a radio frequency antenna and is used for realizing the transceiving of radio waves through the radio frequency antenna. The power amplifier is used for amplifying the radio frequency signal output by the transceiver. The antenna switch is used for switching on or off the antenna so as to realize the conversion of the working state of the antenna. The duplexer is used for filtering the frequencies of the received signal and the transmitted signal respectively, and the two filtering processes are performed simultaneously. Wherein the filter is for filtering unwanted signals in the radio signal. The frequency synthesizer is used for providing a receiving local oscillator frequency and a transmitting carrier frequency for the mixed signal of the receiving path and the modulation signal of the transmitting path. The radio frequency module is combined with the wireless communication network quality evaluation method based on the network quality slice, and can realize the hardware execution process of radio wave signals in the receiving, sending, analyzing, converting and processing processes.
The mobile terminal provided in this embodiment may be used to execute the above method for evaluating the quality of the wireless communication network based on the network quality slice, and the implementation manner and the technical effect are similar, which are not described herein again.
The present application also provides a computer-readable storage medium, in which a computer program is stored, and the computer program is used for implementing the methods provided by the above-mentioned various embodiments when being executed by a processor.
The computer-readable storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, a computer readable storage medium is coupled to the processor such that the processor can read information from, and write information to, the computer readable storage medium. Of course, the computer readable storage medium may also be integral to the processor. The processor and the computer-readable storage medium may reside in an Application Specific Integrated Circuit (ASIC). Additionally, the ASIC may reside in user equipment. Of course, the processor and the computer-readable storage medium may also reside as discrete components in a communication device.
The computer-readable storage medium may be implemented by any type of volatile or nonvolatile Memory device or combination thereof, such as Static Random-Access Memory (SRAM), Electrically-Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
The present application also provides a program product comprising execution instructions stored in a computer-readable storage medium. The at least one processor of the device may read the execution instructions from the computer-readable storage medium, and the execution of the execution instructions by the at least one processor causes the device to implement the methods provided by the various embodiments described above.
Embodiments of the present application further provide a chip, which includes a memory and a processor, where the memory is used to store a computer program, and the processor is used to call and run the computer program from the memory, so that a device in which the chip is installed executes the method in the above various possible embodiments.
It should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. The CPU specifically includes a Baseband Processor (BP) and an Application Processor (AP). Wherein a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The baseband processor and the application processor may be a central processing unit integrated in a chip or may be dedicated processors independent of each other. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the modules is only one logical division, and the actual implementation may have another division, for example, a plurality of modules may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.
Modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present application may be integrated into one processing unit, or each module may exist alone physically, or two or more modules are integrated into one unit. The unit formed by the modules can be realized in a hardware form, and can also be realized in a form of hardware and a software functional unit.
The integrated module implemented in the form of a software functional module may be stored in a computer-readable storage medium. The software functional module is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor to execute some steps of the methods according to the embodiments of the present application.
Those of ordinary skill in the art will understand that: all or a portion of the steps of the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. Which when executed performs steps comprising the method embodiments described above.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same. Although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. A method for network quality slice-based wireless communication network quality assessment, the method comprising:
acquiring quality evaluation information, wherein the quality evaluation information comprises terminal information, environment information, network information and user perception;
acquiring a network quality slice, wherein the network quality slice is a wireless communication network segment within a preset time length;
and determining a wireless communication network quality evaluation result according to the quality evaluation information and the network quality slice.
2. The method of claim 1, wherein prior to obtaining the network quality slice, further comprising:
and acquiring an evaluation instruction, wherein the evaluation instruction is used for indicating the mobile terminal to start to collect the network quality slice.
3. The method according to claim 2, wherein before the obtaining of the evaluation instruction, the method further comprises:
and outputting the quality evaluation information in real time.
4. The method of claim 3, comprising:
acquiring a default user perception parameter, and determining the default user perception parameter as the user perception;
alternatively, the first and second electrodes may be,
and acquiring a user selection instruction, and determining the user perception according to the user selection instruction, wherein the user selection instruction is used for indicating user perception parameters selected by a user.
5. The method of claim 1, wherein obtaining the network quality slice comprises:
and acquiring the network quality slice according to the preset parameters of the network quality slice.
6. The method of claim 5, further comprising:
and when the total duration of the network quality slices is less than the total preset duration, collecting a preset number of the network quality slices.
7. The method of claim 1, further comprising:
and uploading the quality evaluation information and the network quality slice, wherein the uploading mode is asynchronous transmission.
8. An apparatus for network quality slicing based wireless communication network quality assessment, the apparatus comprising:
the first acquisition module is used for acquiring quality evaluation information, wherein the quality evaluation information comprises terminal information, environment information, network information and user perception;
the second acquisition module is used for acquiring a network quality slice, wherein the network quality slice is a network information segment with preset duration;
and the determining module is used for determining the wireless communication network quality evaluation result according to the quality evaluation information and the network quality slice.
9. A wireless communication network quality assessment apparatus based on network quality slicing, the apparatus comprising: the device comprises a memory, a processor, a display and a radio frequency module;
a memory for storing the processor-executable instructions;
a processor for implementing the network quality slice-based wireless communication network quality assessment method and apparatus method according to any one of claims 1 to 7, according to the wireless network signal processing capability of the processor and the executable instructions stored in the memory;
a display for outputting the quality assessment information and a wireless communication network quality assessment result;
and the radio frequency module is used for receiving, sending and processing the converted radio waves.
10. A computer-readable storage medium having stored thereon computer-executable instructions for implementing the method for network quality slice-based wireless communication network quality assessment as claimed in any one of claims 1 to 7 when executed by a processor.
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