CN115474156A - Frequency point selection method, device, equipment and readable storage medium - Google Patents
Frequency point selection method, device, equipment and readable storage medium Download PDFInfo
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Abstract
The application discloses a frequency point selection method, a device, equipment and a readable storage medium. The frequency point selection method is applied to the terminal and comprises the following steps: acquiring frequency point evaluation data information in a target area, which is obtained based on target terminal measurement; determining the selection priority of a plurality of frequency points in a target area according to preset voice influence parameters and evaluation data to obtain frequency point selection information; when a target terminal initiates a voice service, frequency point selection information is sent to a target base station, so that the target base station determines a target frequency point accessed by the voice service according to the frequency point selection information. According to the embodiment of the application, the network frequency point with high service quality can be quickly selected, the voice call delay is reduced, and the user experience is improved.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method, an apparatus, a device, and a readable storage medium for selecting a frequency point.
Background
In current 5G network construction, when voice service occurs, a 5G terminal is usually resided on a 5G NR, but voice service is not provided on the 5G NR. When the terminal initiates a Voice call, the network system switches the terminal from a 5G air interface to a Long Term Evolution (LTE) so as to realize that Voice service is provided through a Voice over Long-Term Evolution (VoLTE).
The current handover modes include, for example, a measurement redirection mode and a non-measurement redirection mode. If a measurement redirection mode is adopted, the 4G network frequency point needs to be measured continuously in the selection process, and the signaling flow interaction is too much, so that the voice call delay is large, and the user experience is influenced. If a non-measurement redirection mode is adopted, the system designates the 4G network frequency point, which may cause switching to a 4G network frequency point with poor service quality, thereby causing voice call failure or poor voice call quality and also affecting user experience.
Disclosure of Invention
The embodiment of the application provides a frequency point selection method, a device, equipment and a readable storage medium, which can quickly select a network frequency point with high service quality, reduce voice call delay and improve user experience.
In a first aspect, an embodiment of the present application provides a method for selecting a frequency point, where the method is applied to a terminal, and the method includes:
acquiring frequency point evaluation data information in a target area obtained based on target terminal measurement, wherein the target area is the area where the target terminal is located, the frequency point evaluation data information comprises session data information of each frequency point in a plurality of frequency points in the target area, and the session data information comprises evaluation data corresponding to preset voice influence parameters;
determining the selection priority of a plurality of frequency points in a target area according to preset voice influence parameters and evaluation data to obtain frequency point selection information;
when a target terminal initiates a voice service, frequency point selection information is sent to a target base station, so that the target base station determines a target frequency point accessed by the voice service according to the frequency point selection information.
In some implementation manners of the first aspect, acquiring frequency point evaluation data information in a target area obtained based on measurement by a target terminal includes:
determining frequency point identifications of a plurality of frequency points in a target area based on frequency point information measured by a target terminal according to a preset measurement period;
and acquiring the telephone traffic data information of the target area in a preset time period from a preset telephone traffic data platform according to the frequency point identification to obtain frequency point evaluation data information.
In some implementations of the first aspect, the preset speech influencing parameter comprises at least one of the following influencing factors: measurement level value, interference value, load charge level, number of real-time users, voice quality.
In some implementations of the first aspect, the speech statistics data information includes evaluation data corresponding to each influence factor for each frequency point; determining the selection priority of a plurality of frequency points of a target area according to preset voice influence parameters and evaluation data to obtain frequency point selection information, wherein the method comprises the following steps:
determining an evaluation score of each frequency point according to preset voice influence parameters and evaluation data;
and determining the selection priority of a plurality of frequency points in the target area according to the evaluation score of each frequency point to obtain frequency point selection information.
In some implementation manners of the first aspect, determining the evaluation score of each frequency point according to the preset speech influence parameter and the evaluation data includes:
acquiring the influence weight of each influence factor in the preset voice influence parameters;
normalizing the evaluation data of each frequency point corresponding to each influence factor to obtain target evaluation data of each frequency point corresponding to each influence factor;
and determining the evaluation score of each frequency point according to the influence weight of each influence factor and the target evaluation data of each frequency point corresponding to each influence factor.
In some implementations of the first aspect, obtaining the influence weight of each influence factor in the preset speech influence parameter includes:
determining a pair comparison matrix of preset voice influence parameters, wherein the pair comparison matrix comprises preset importance evaluation values among the influence factors;
and determining the influence weight of each influence factor according to the feature vectors of the pair comparison matrix.
In some implementation manners of the first aspect, determining selection priorities of multiple frequency points in a target area according to an evaluation score of each frequency point to obtain frequency point selection information, including:
and sequentially determining the priority selection sequence of the plurality of frequency points according to the evaluation score of each frequency point from large to small to obtain frequency point selection information.
In a second aspect, an embodiment of the present application provides a frequency point selecting device, where the device includes:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring frequency point evaluation data information in a target area obtained based on measurement of a target terminal, the target area is the area where the target terminal is located, the frequency point evaluation data information comprises speech synthesis data information of each frequency point in a plurality of frequency points in the target area, and the speech synthesis data information comprises evaluation data corresponding to preset voice influence parameters;
the processing module is used for determining the selection priorities of a plurality of frequency points in the target area according to the preset voice influence parameters and the evaluation data to obtain frequency point selection information;
and the transmitting module is used for transmitting the frequency point selection information to the target base station when the target terminal initiates the voice service, so that the target base station determines the target frequency point accessed by the voice service according to the frequency point selection information.
In a third aspect, the present application provides a device for selecting a frequency point, where the device includes: a processor and a memory storing computer program instructions; the processor, when executing the computer program instructions, implements the frequency point selection method described in the first aspect or any of the implementable manners of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, where computer program instructions are stored on the computer-readable storage medium, and when the computer program instructions are executed by a processor, the method for selecting a frequency point in the first aspect or any one of the realizable manners of the first aspect is implemented.
The embodiment of the application provides a frequency point selection method, a device, equipment and a readable storage medium, wherein a target area where a target terminal is located and speech system data information corresponding to each frequency point in a plurality of frequency points of the target area are obtained by obtaining frequency point evaluation data information in the target area obtained based on target terminal measurement, wherein the speech system data information comprises evaluation data corresponding to preset voice influence parameters, and signaling flow interaction of frequency point measurement after voice service is received can be reduced; and then, determining an evaluation score of each frequency point according to preset voice influence parameters and evaluation data, determining selection priorities of a plurality of frequency points in a target area according to the evaluation scores of the frequency points to obtain frequency point selection information, realizing the judgment of the selected frequency points in advance, and then sending the frequency point selection information to a target base station when a target terminal initiates a voice service so that the target base station determines a target frequency point for accessing the voice service according to the frequency point selection information, thereby ensuring the network quality after the voice access, improving the voice call quality, realizing the reduced voice call delay and effectively improving the user perception.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of a frequency point selection method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a pair-wise comparison matrix provided by an embodiment of the present application;
fig. 3 is a schematic structural diagram of a frequency point selection device according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a frequency point selection device according to an embodiment of the present application.
Detailed Description
Features and exemplary embodiments of various aspects of the present application will be described in detail below, and in order to make objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are intended to be illustrative only and are not intended to be limiting. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present application by illustrating examples thereof.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising 8230; \8230;" comprises 8230; "does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
In current 5G network construction, when voice service occurs, a 5G terminal is usually resided on a 5G NR, but voice service is not provided on the 5G NR. When the terminal initiates a voice call, the network system switches the terminal from a 5G air interface to LTE so as to realize the voice service provided by VoLTE.
In the current handover process, handover decision based on coverage, capacity or service, etc., handover preparation including resource application between a source cell and a target cell, data forwarding, etc. are included, after the handover preparation is completed, a handover command is issued to a user terminal, and the user terminal performs handover.
Specific handover modes include, for example, a measurement redirection mode and a non-measurement redirection mode.
The measurement redirection means that a cell needs to be measured before orientation, if the measurement redirection mode is adopted, a 4G network frequency point needs to be measured continuously in the selection process, signaling flow interaction is multiple, voice call delay is large, and user experience is affected.
The non-measurement redirection means that the signal strength of a cell is not measured, and the cell is directly switched as long as an accessible frequency point can be received. If a non-measurement redirection mode is adopted, the system designates a 4G network frequency point, which may cause switching to a 4G network frequency point with poor service quality, thereby causing voice call failure or poor voice call quality, and also affecting user experience.
In view of the above, embodiments of the present application provide a frequency point selection method, apparatus, device, and computer-readable storage medium, and obtain a target area where a target terminal is located and speech system data information corresponding to each of multiple frequency points in the target area by obtaining frequency point evaluation data information in the target area, where the speech system data information includes evaluation data corresponding to a preset speech influence parameter, so that signaling flow interaction for performing frequency point measurement after receiving a speech service can be reduced; and then, determining an evaluation score of each frequency point according to preset voice influence parameters and evaluation data, determining selection priorities of a plurality of frequency points in a target area according to the evaluation scores of the frequency points to obtain frequency point selection information, realizing the judgment of the selected frequency points in advance, and then sending the frequency point selection information to a target base station when a target terminal initiates a voice service so that the target base station determines a target frequency point for accessing the voice service according to the frequency point selection information, thereby ensuring the network quality after the voice access, improving the voice call quality, realizing the reduced voice call delay and effectively improving the user perception.
The following describes a frequency point selection method provided in an embodiment of the present application with reference to the accompanying drawings.
Fig. 1 shows a schematic flow chart of a frequency point selection method according to an embodiment of the present application. As shown in fig. 1, the method may include steps 110 to 130:
and step 110, obtaining frequency point evaluation data information in the target area obtained based on the measurement of the target terminal.
The target area is the area where the target terminal is located, the frequency point evaluation data information includes speech synthesis data information of each frequency point in a plurality of frequency points of the target area, and the speech synthesis data information may include evaluation data corresponding to preset voice influence parameters.
Specifically, the area where the target terminal is located may include a main serving cell where the target terminal is currently located and a plurality of neighboring cells of the main serving cell. The target terminal is set to carry out frequency point measurement, and the target terminal can obtain the relevant frequency point information of a target area, such as frequency point identification and the like, in the process of carrying out frequency point measurement.
After the frequency point identifier is obtained, the frequency point evaluation data information corresponding to the frequency point identifier can be obtained.
Specifically, the obtaining of the frequency point evaluation data information may include the following steps:
step 111, determining frequency point identifiers of a plurality of frequency points in a target area based on the frequency point information measured by the target terminal according to a preset measurement period;
for example, the target terminal may be set to measure the 4G network frequency point at a preset measurement period T, so as to obtain frequency point information of a target area where the target terminal is located.
In some embodiments, the preset measurement period T may be determined according to a moving speed of the target terminal, so as to achieve the purpose of ensuring the accuracy of the measurement or reducing the power consumption of the target terminal. For example, when the moving speed of the target terminal exceeds a preset speed threshold value, the duration of a measurement period can be shortened, and the measurement accuracy is ensured; when the moving speed of the target terminal is detected to be slow or in a static state, the duration of the measurement period can be increased to reduce power consumption.
And step 112, acquiring the telephone traffic data information of the target area in a preset time period from a preset telephone traffic data platform according to the frequency point identification to obtain frequency point evaluation data information.
In the embodiment of the application, the preset speech system data platform can be in communication connection with the target terminal, and the target terminal can obtain speech system data information of the preset speech system data platform in a preset time period based on the measured frequency point identification.
In some embodiments, the preset speech influencing parameter comprises at least one of the following influencing factors: voice quality, measurement level value, interference value, load charge level, number of real-time users. The speech statistics data information may specifically include evaluation data corresponding to each influence factor for each frequency point.
After obtaining the preset speech influencing parameters and the evaluation data, step 120 may be performed next.
And step 120, determining the selection priority of the multiple frequency points in the target area according to the preset voice influence parameters and the evaluation data to obtain frequency point selection information.
And for each frequency point, obtaining the score of each frequency point corresponding to different influence factors according to a preset scoring standard. Taking the actual data as an example, the preset speech impact parameters can be shown in table 1. Table 1 shows the score condition of each frequency point in the three frequency points corresponding to different influence factors.
TABLE 1
In the embodiment of the application, the reliability of the frequency point selection information obtained by subsequent calculation can be effectively improved by comprehensively considering the score condition of each frequency point corresponding to different influence factors.
In some embodiments, when the information is selected at the frequency points, firstly, the evaluation score of each frequency point can be determined according to the preset voice influence parameters and the evaluation data; and then, determining the selection priority of a plurality of frequency points in the target area according to the evaluation score of each frequency point to obtain frequency point selection information.
Specifically, the priority selection order of the multiple frequency points is sequentially determined according to the evaluation score of each frequency point from large to small, and the frequency point selection information is obtained.
For example, the higher the evaluation score is, the better the network service quality that the frequency point can provide is, so that the selection priorities of the multiple frequency points can be sorted from large to small in sequence to obtain the frequency point selection information.
Because the frequency point selection information comprises the priority selection sequence of the frequency points, the target base station can determine the target frequency point of the access voice service according to the frequency point selection information when the target base station receives the voice service of the target terminal by sending the frequency point selection information to the target base station, so that the network quality after the voice access can be ensured, the voice call quality can be improved, the voice call delay can be reduced, and the user perception can be effectively improved.
In some embodiments, determining the evaluation score of each frequency point according to the preset speech influence parameter and the evaluation data may specifically include the following steps 21 to 23:
and step 21, acquiring the influence weight of each influence factor in the preset voice influence parameters.
In some embodiments, the influence weight of each influencing factor in the preset voice influencing parameter can be set according to actual conditions.
In order to improve the reliability of the calculation of the influence weight of each influence factor in the preset speech influence parameters, in some embodiments, an analytic hierarchy process may be used to calculate the influence weight of each influence factor in the preset speech influence parameters.
In some embodiments, the analytic hierarchy process may specifically be to determine a pair-wise comparison matrix of the preset speech influence parameters, where the pair-wise comparison matrix includes a preset importance evaluation value between the influence factors; next, an influence weight for each influencing factor may be determined based on the eigenvectors of the pairwise comparison matrix.
The paired comparison matrix can be shown in fig. 2, wherein element 1, element 2, element 3 \8230, element 8230, element K can respectively represent a plurality of influence factors in the preset speech influence parameters, and K is a positive integer. The elements in row ith and column jth may represent "the degree of importance of element i over element j", where 1. Ltoreq. I.ltoreq.K, and 1. Ltoreq. J.ltoreq.K.
The pair-wise comparison matrix has characteristics such as: a is ij >0,a ij ＝1，
For element a ij When i = j, the element i is the same as the element j, and in this case, the importance degree of the element i is equal to that of the element j, and in this case, a may be set to be equal to j ij ＝1。
The influence weight of each influence factor in the preset voice influence parameters can be obtained by calculating the eigenvector corresponding to the maximum eigenvalue of the paired comparison matrix and standardizing the eigenvector.
As a specific example, the preset voice impact parameters include voice quality, measurement level value, interference value, load charge level, number of real-time users, and the paired comparison matrix may be as follows.
Calculating the eigenvector corresponding to the largest eigenvalue of the above pairwise comparison matrix, and normalizing the eigenvector to obtain U = (0.457, 0.263,0.051,0.103, 0.126) T 。
And step 22, carrying out normalization processing on the evaluation data of each influence factor corresponding to each frequency point to obtain target evaluation data of each influence factor corresponding to each frequency point.
In order to enable data calculation between evaluation data of different influence factors, it is necessary to perform normalization processing on the evaluation data of each influence factor corresponding to each frequency point. For example, the normalization process may be performed using a normalization method, which is not limited herein.
Wherein, the formula of the specification method is shown as formula (1).
Wherein, X i The ith influence factor is shown, and Y shows the normalized value of a certain frequency point.
Illustratively, after the normalization process is performed on the data in table 1 by using the specification, normalized data can be obtained, as shown in table 2.
TABLE 2
After normalizing the evaluation data of each frequency point corresponding to each influence factor, step 23 may be performed next.
And step 23, determining the evaluation score of each frequency point according to the influence weight of each influence factor and the target evaluation data of each influence factor corresponding to each frequency point.
By combining the influence weight of each influence factor and the target evaluation data of each influence factor corresponding to each frequency point, the comprehensive score of each frequency point can be obtained.
Illustratively, the normalized eigenvector U corresponding to the maximum eigenvalue of the pair comparison matrix and the normalized data in table 2 are combined to obtain the evaluation score of each frequency point, which is shown in table 3.
TABLE 3
As shown in table 3, after the selection priorities of the multiple frequency points are sequentially sorted from large to small, the frequency point selection information may be obtained by prioritizing FDD1800 over FDD900 and prioritizing FDD900 over F1.
After the priority selection order of the multiple frequency points is obtained, step 130 may be executed next.
Because the frequency point selection information comprises the priority selection sequence of the frequency points, the frequency point selection information is sent to the target base station, when the target base station receives the voice service of the target terminal, the target frequency point of the voice service can be determined according to the frequency point selection information, the network quality after the voice access can be ensured, the voice call quality is improved, the voice call time delay can be reduced, and the user perception is effectively improved.
By the frequency point selection method provided by the embodiment of the application, the frequency point evaluation data information in the target area obtained based on the measurement of the target terminal is obtained, the target area where the target terminal is located and the speech synthesis data information corresponding to each frequency point in a plurality of frequency points in the target area can be obtained, wherein the speech synthesis data information comprises evaluation data corresponding to the preset voice influence parameters, and the signaling process interaction of the frequency point measurement after the voice service is received can be reduced; and then, determining an evaluation score of each frequency point according to preset voice influence parameters and evaluation data, determining selection priorities of a plurality of frequency points in a target area according to the evaluation scores of the frequency points to obtain frequency point selection information, realizing the judgment of the selected frequency points in advance, and then sending the frequency point selection information to a target base station when a target terminal initiates a voice service so that the target base station determines a target frequency point for accessing the voice service according to the frequency point selection information, thereby ensuring the network quality after the voice access, improving the voice call quality, realizing the reduced voice call delay and effectively improving the user perception.
Fig. 3 is a schematic structural diagram of a frequency point selecting device according to an embodiment of the present application, and as shown in fig. 3, the frequency point selecting device 300 may include: an acquisition module 310, a processing module 320, and a sending module 330.
An obtaining module 310, configured to obtain frequency point evaluation data information in a target area, where the target area is an area where a target terminal is located, and the frequency point evaluation data information includes session data information of each frequency point in multiple frequency points in the target area, where the session data information includes evaluation data corresponding to a preset voice influence parameter;
the processing module 320 is configured to determine selection priorities of multiple frequency points in a target area according to preset voice influence parameters and evaluation data, and obtain frequency point selection information;
a sending module 330, configured to send frequency point selection information to the target base station when the target terminal initiates a voice service, so that the target base station determines a target frequency point to which the voice service is accessed according to the frequency point selection information.
By the frequency point selection device 300 provided by the embodiment of the application, the frequency point evaluation data information in the target area obtained based on the measurement of the target terminal is obtained, the target area where the target terminal is located and the speech synthesis data information corresponding to each frequency point in a plurality of frequency points in the target area can be obtained, wherein the speech synthesis data information comprises evaluation data corresponding to preset voice influence parameters, and signaling flow interaction of frequency point measurement after voice service is received can be reduced; and then, determining an evaluation score of each frequency point according to preset voice influence parameters and evaluation data, determining selection priorities of a plurality of frequency points in a target area according to the evaluation scores of each frequency point to obtain frequency point selection information, realizing the judgment of the selected frequency points in advance, and then sending the frequency point selection information to a target base station when a target terminal initiates a voice service so that the target base station determines a target frequency point accessed to the voice service according to the frequency point selection information, thereby ensuring the network quality after the voice access, improving the voice call quality, realizing the reduced voice call delay and effectively improving the user perception.
In some embodiments, the obtaining module 310 is further configured to determine frequency point identifiers of multiple frequency points in the target area based on the frequency point information measured by the target terminal according to the preset measurement period;
the processing module 320 is further configured to obtain, according to the frequency point identifier, session data information of the target area in a preset time period from the preset session data platform, to obtain frequency point evaluation data information.
In some embodiments, the preset speech influencing parameter comprises at least one of the following influencing factors: voice quality, measurement level value, interference value, load charge level, number of real-time users.
In some embodiments, the session data information includes evaluation data corresponding to each influence factor for each frequency point;
the processing module 320 is further configured to determine an evaluation score of each frequency point according to the preset speech influence parameters and the evaluation data;
the processing module 320 is further configured to determine selection priorities of multiple frequency points in the target area according to the evaluation score of each frequency point, so as to obtain frequency point selection information.
Therefore, the selection frequency point can be judged in advance.
In some embodiments, the processing module 320 is further configured to obtain an influence weight of each influencing factor in the preset voice influencing parameter;
the processing module 320 is further configured to perform normalization processing on the evaluation data of each influence factor corresponding to each frequency point to obtain target evaluation data of each influence factor corresponding to each frequency point;
the processing module 320 is further configured to determine an evaluation score of each frequency point according to the influence weight of each influence factor and the target evaluation data of each influence factor corresponding to each frequency point.
Therefore, the influence weight of each influence factor in the preset voice influence parameters can be obtained by calculating the characteristic vector corresponding to the maximum characteristic value of the comparison matrix and standardizing the characteristic vector, and the reliability of subsequent data processing can be improved.
In some embodiments, the processing module 320 is further configured to determine a pair-wise comparison matrix of the preset voice influence parameters, where the pair-wise comparison matrix includes a preset importance evaluation value between the influence factors;
the processing module 320 is further configured to determine an influence weight of each influence factor according to the eigenvector of the pairwise comparison matrix.
Therefore, the influence weight of each influence factor in the preset voice influence parameters can be obtained by calculating the eigenvector corresponding to the maximum eigenvalue of the comparison matrix and standardizing the eigenvector, and the reliability of subsequent data processing is improved.
In some embodiments, the processing module 320 is further configured to sequentially determine a priority selection order of multiple frequency points according to a descending order of the evaluation score of each frequency point, so as to obtain the frequency point selection information.
Therefore, the frequency point selection information comprises the priority selection sequence of the frequency points, and the frequency point selection information is sent to the target base station, so that the target base station can determine the target frequency point of the access voice service according to the frequency point selection information when receiving the voice service of the target terminal, the network quality after the voice access can be ensured, the voice call quality is improved, the voice call time delay can be reduced, and the user perception is effectively improved.
It can be understood that the frequency point selecting apparatus 300 in the embodiment of the present application may correspond to an execution main body of the frequency point selecting method provided in the embodiment of the present application, and specific details of operations and/or functions of each module/unit of the frequency point selecting apparatus 300 may be referred to the description of the corresponding part in the frequency point selecting method provided in the embodiment of the present application, and for brevity, no further description is provided here.
The frequency point selection device of the embodiment of the application obtains the frequency point evaluation data information in the target area obtained based on the measurement of the target terminal, can obtain the target area where the target terminal is located and the speech integration data information corresponding to each frequency point in a plurality of frequency points in the target area, wherein the speech integration data information comprises evaluation data corresponding to preset voice influence parameters, and can reduce signaling flow interaction for frequency point measurement after voice service is received; and then, determining an evaluation score of each frequency point according to preset voice influence parameters and evaluation data, determining selection priorities of a plurality of frequency points in a target area according to the evaluation scores of each frequency point to obtain frequency point selection information, realizing the judgment of the selected frequency points in advance, and then sending the frequency point selection information to a target base station when a target terminal initiates a voice service so that the target base station determines a target frequency point accessed to the voice service according to the frequency point selection information, thereby ensuring the network quality after the voice access, improving the voice call quality, realizing the reduced voice call delay and effectively improving the user perception.
Fig. 4 is a schematic diagram of a hardware structure of a frequency point selection device according to an embodiment of the present application. As shown in fig. 4, the apparatus may include a processor 401 and a memory 402 storing computer program instructions.
Specifically, the processor 401 may include a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement the embodiments of the present Application.
In one example, the Memory 402 may be a Read Only Memory (ROM). In one example, the ROM can be mask-programmed ROM, programmable ROM (PROM), erasable PROM (EPROM), electrically Erasable PROM (EEPROM), electrically Alterable ROM (EAROM), or flash memory, or a combination of two or more of these.
The processor 401 reads and executes the computer program instructions stored in the memory 402 to implement the method described in the embodiment of the present application, and achieve the corresponding technical effect achieved by executing the method in the embodiment of the present application, which is not described herein again for brevity.
In one example, the frequency point selection device may also include a communication interface 403 and a bus 410. As shown in fig. 4, the processor 401, the memory 402, and the communication interface 403 are connected via a bus 410 to complete communication therebetween.
The communication interface 403 is mainly used for implementing communication between modules, apparatuses, units and/or devices in this embodiment.
The frequency point selection device can execute the recommendation method of the enterprise user service in the embodiment of the application, so that the corresponding technical effect of the frequency point selection method described in the embodiment of the application is realized.
In addition, in combination with the frequency point selection method in the foregoing embodiment, the embodiment of the present application may provide a readable storage medium to implement. The readable storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement any of the frequency point selection methods in the above embodiments.
It is to be understood that the present application is not limited to the particular arrangements and instrumentality described above and shown in the attached drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications, and additions or change the order between the steps after comprehending the spirit of the present application.
The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic Circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the present application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor Memory devices, read-Only memories (ROMs), flash memories, erasable Read-Only memories (EROMs), floppy disks, compact disk Read-Only memories (CD-ROMs), optical disks, hard disks, optical fiber media, radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
Aspects of the present application are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware for performing the specified functions or acts, or combinations of special purpose hardware and computer instructions.
As described above, only the specific embodiments of the present application are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present application, and these modifications or substitutions should be covered within the scope of the present application.
Claims (10)
1. A frequency point selection method is characterized in that the method is applied to a terminal, and the method comprises the following steps:
acquiring frequency point evaluation data information in a target area obtained based on target terminal measurement, wherein the target area is the area where the target terminal is located, the frequency point evaluation data information comprises speech system data information of each frequency point in a plurality of frequency points of the target area, and the speech system data information comprises evaluation data corresponding to preset voice influence parameters;
determining the selection priorities of the multiple frequency points in the target area according to the preset voice influence parameters and the evaluation data to obtain frequency point selection information;
and when the target terminal initiates a voice service, sending the frequency point selection information to a target base station so that the target base station can determine a target frequency point accessed by the voice service according to the frequency point selection information.
2. The method according to claim 1, wherein the acquiring of the frequency point evaluation data information in the target area obtained based on the measurement of the target terminal comprises:
determining frequency point identifiers of a plurality of frequency points in the target area based on the frequency point information measured by the target terminal according to a preset measurement period;
and acquiring the telephone traffic data information of the target area in the preset time period from a preset telephone traffic data platform according to the frequency point identification to obtain the frequency point evaluation data information.
3. The method of claim 1, wherein the preset speech impact parameters include at least one of the following impact factors: measurement level value, interference value, load charge level, number of real-time users, voice quality.
4. The method of claim 1, wherein the session data information includes evaluation data corresponding to each influence factor for each frequency point; determining the selection priorities of the multiple frequency points in the target area according to the preset voice influence parameters and the evaluation data to obtain frequency point selection information, wherein the method comprises the following steps:
determining an evaluation score of each frequency point according to the preset voice influence parameters and the evaluation data;
and determining the selection priorities of the plurality of frequency points in the target area according to the evaluation score of each frequency point to obtain frequency point selection information.
5. The method according to claim 4, wherein the determining an evaluation score of each frequency point according to the preset speech influence parameters and the evaluation data comprises:
acquiring the influence weight of each influence factor in the preset voice influence parameters;
normalizing the evaluation data of each frequency point corresponding to each influence factor to obtain target evaluation data of each frequency point corresponding to each influence factor;
and determining the evaluation score of each frequency point according to the influence weight of each influence factor and the target evaluation data of each frequency point corresponding to each influence factor.
6. The method according to claim 5, wherein the obtaining the influence weight of each influence factor in the preset voice influence parameters comprises:
determining a pair comparison matrix of the preset voice influence parameters, wherein the pair comparison matrix comprises preset importance evaluation values among influence factors;
and determining the influence weight of each influence factor according to the feature vector of the pair comparison matrix.
7. The method according to claim 1, wherein the determining the selection priorities of the plurality of frequency points in the target area according to the evaluation score of each frequency point to obtain frequency point selection information comprises:
and sequentially determining the priority selection sequence of the plurality of frequency points according to the evaluation score of each frequency point from large to small to obtain the frequency point selection information.
8. A frequency point selection apparatus, the apparatus comprising:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring frequency point evaluation data information in a target area obtained based on measurement of a target terminal, the target area is the area where the target terminal is located, the frequency point evaluation data information comprises speech system data information of each frequency point in a plurality of frequency points in the target area, and the speech system data information comprises evaluation data corresponding to preset voice influence parameters;
the processing module is used for determining the selection priorities of the multiple frequency points in the target area according to the preset voice influence parameters and the evaluation data to obtain frequency point selection information;
and the sending module is used for sending the frequency point selection information to a target base station when the target terminal initiates a voice service, so that the target base station can determine a target frequency point accessed by the voice service according to the frequency point selection information.
9. A frequency point selection device, characterized in that the device comprises: a processor, and a memory storing computer program instructions;
the processor reads and executes the computer program instructions to implement the frequency point selection method according to any one of claims 1 to 7.
10. A computer storage medium having computer program instructions stored thereon which, when executed by a processor, implement the frequency point selection method of any one of claims 1 to 7.
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| CN202110657374.0A CN115474156A (en) | 2021-06-11 | 2021-06-11 | Frequency point selection method, device, equipment and readable storage medium |
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130121145A1 (en) * | 2011-11-11 | 2013-05-16 | Verizon Patent And Licensing Inc. | Network selection based on one or more factors |
| US20170013548A1 (en) * | 2015-07-06 | 2017-01-12 | Samsung Electronics Co., Ltd. | Method for cell selection and cell reselection in a time division synchronous code division multiple access (td-scdma) system |
| US20170332302A1 (en) * | 2016-05-10 | 2017-11-16 | Netsia, Inc. | System and method for programmable joint optimization of mobility load balancing and mobility robustness optimization |
| CN107454633A (en) * | 2016-05-31 | 2017-12-08 | 华为终端（东莞）有限公司 | A kind of determination method and apparatus of voice communication network |
| WO2018040677A1 (en) * | 2016-08-31 | 2018-03-08 | 深圳市中兴微电子技术有限公司 | Cell reselection method and device, and storage medium |
| WO2018040959A1 (en) * | 2016-09-05 | 2018-03-08 | 深圳市万普拉斯科技有限公司 | Voice service processing method, terminal equipment, and computer storage medium |
| CN107925938A (en) * | 2015-08-26 | 2018-04-17 | 高通股份有限公司 | Manage the cell selection in the how customized more standby communication equipment of double reception |
| CN108684068A (en) * | 2018-04-28 | 2018-10-19 | 努比亚技术有限公司 | network search method, mobile terminal and computer readable storage medium |
| CN109451549A (en) * | 2019-01-03 | 2019-03-08 | 中国联合网络通信集团有限公司 | Voice backing method, device and terminal device |
-
2021
- 2021-06-11 CN CN202110657374.0A patent/CN115474156A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130121145A1 (en) * | 2011-11-11 | 2013-05-16 | Verizon Patent And Licensing Inc. | Network selection based on one or more factors |
| US20170013548A1 (en) * | 2015-07-06 | 2017-01-12 | Samsung Electronics Co., Ltd. | Method for cell selection and cell reselection in a time division synchronous code division multiple access (td-scdma) system |
| CN107925938A (en) * | 2015-08-26 | 2018-04-17 | 高通股份有限公司 | Manage the cell selection in the how customized more standby communication equipment of double reception |
| US20170332302A1 (en) * | 2016-05-10 | 2017-11-16 | Netsia, Inc. | System and method for programmable joint optimization of mobility load balancing and mobility robustness optimization |
| CN107454633A (en) * | 2016-05-31 | 2017-12-08 | 华为终端（东莞）有限公司 | A kind of determination method and apparatus of voice communication network |
| WO2018040677A1 (en) * | 2016-08-31 | 2018-03-08 | 深圳市中兴微电子技术有限公司 | Cell reselection method and device, and storage medium |
| WO2018040959A1 (en) * | 2016-09-05 | 2018-03-08 | 深圳市万普拉斯科技有限公司 | Voice service processing method, terminal equipment, and computer storage medium |
| CN108684068A (en) * | 2018-04-28 | 2018-10-19 | 努比亚技术有限公司 | network search method, mobile terminal and computer readable storage medium |
| CN109451549A (en) * | 2019-01-03 | 2019-03-08 | 中国联合网络通信集团有限公司 | Voice backing method, device and terminal device |
Non-Patent Citations (1)
| Title |
|---|
| 李晓;杨建喜;池亚平;高聪;余宇舟;: "SDWN下基于流量负载感知的AP间无缝切换算法研究", 计算机应用研究, no. 10, 10 October 2017 (2017-10-10) * |
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