CN115996353A - Configuration information searching method, electronic equipment and computer storage medium - Google Patents
Configuration information searching method, electronic equipment and computer storage medium Download PDFInfo
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Abstract
The embodiment of the application discloses a searching method of configuration information, which is applied to electronic equipment and comprises the following steps: when the electronic equipment starts searching the configuration information of the radio frequency resources, the feature vector of the electronic equipment is obtained, the adjacent feature vector of the electronic equipment is determined from a pre-stored feature vector set of the electronic equipment, and the configuration information of the radio frequency resources of the electronic equipment is determined according to the configuration information of the radio frequency resources corresponding to the adjacent feature vector. The embodiment of the application also provides the electronic equipment and the computer storage medium.
Description
Technical Field
The present invention relates to mobile communication network technology, and in particular, to a method for searching configuration information, an electronic device, and a computer storage medium.
Background
Currently, in order to support carrier aggregation (CA, carrier Aggragation) or fourth generation mobile communication technology/fifth generation mobile communication technology combined networking technology (ENDC, EUTRA-NR Dual Connectivity), a terminal side generally searches for the most suitable configuration in a radio frequency resource configuration table according to a frequency band combination of CA or ENDC, so as to obtain the optimal radio frequency performance, however, as the frequency band increases, the number of component carriers (CCs, component Carrier) increases, and the number of receiving and transmitting channels supported by radio frequency increases, the radio frequency resource configuration table becomes larger, so that the search time for radio frequency resource configuration at the terminal side becomes longer; therefore, the technical problem that the searching time is long when the existing electronic equipment searches the radio frequency resource allocation can be seen.
Disclosure of Invention
The embodiment of the application provides a searching method for configuration information, electronic equipment and a computer storage medium, which can shorten the searching time for configuration of radio frequency resources.
The technical scheme of the application is realized as follows:
in a first aspect, an embodiment of the present application provides a method for searching configuration information, where the method is applied to an electronic device, and includes:
when the electronic equipment starts searching configuration information of radio frequency resources, acquiring a feature vector of the electronic equipment; wherein the feature vector is at least a vector consisting of the current geographic location of the electronic device;
determining adjacent feature vectors of the electronic equipment from a pre-stored feature vector set of the electronic equipment;
and determining the configuration information of the radio frequency resources of the electronic equipment according to the configuration information of the radio frequency resources corresponding to the adjacent feature vectors.
In a second aspect, an embodiment of the present application provides an electronic device, including:
the acquisition module is configured to acquire the feature vector of the electronic equipment when the electronic equipment starts searching the configuration information of the radio frequency resource; wherein the feature vector is at least a vector consisting of the current geographic location of the electronic device;
a first determining module configured to determine, from a set of feature vectors of the electronic device stored in advance, a neighboring feature vector of the electronic device;
and the second determining module is configured to determine the configuration information of the radio frequency resources of the electronic equipment according to the configuration information of the radio frequency resources corresponding to the adjacent feature vectors.
In a third aspect, an embodiment of the present application provides an electronic device, including: a processor and a storage medium storing instructions executable by the processor; the storage medium performs operations in dependence upon the processor through a communication bus, and when the instructions are executed by the processor, performs the method of searching for configuration information described in one or more embodiments above.
In a fourth aspect, embodiments of the present application provide a computer storage medium storing executable instructions that, when executed by one or more processors, perform a method for searching configuration information according to one or more embodiments described above.
The embodiment of the application provides a searching method for configuration information, electronic equipment and a computer storage medium, wherein the method is applied to the electronic equipment and comprises the following steps: when the electronic equipment starts searching the configuration information of the radio frequency resources, the feature vector of the electronic equipment is obtained, the feature vector is at least a vector formed by the current geographic position of the electronic equipment, the adjacent feature vector of the electronic equipment is determined from a pre-stored feature vector set of the electronic equipment, and the configuration information of the radio frequency resources of the electronic equipment is determined according to the configuration information of the radio frequency resources corresponding to the adjacent feature vector; that is, in the embodiment of the present application, when the electronic device searches for the configuration information of the radio frequency resource, the feature vector adjacent to the current electronic device is determined from the feature vector set of the electronic device stored in advance, so that the configuration information of the radio frequency resource of the electronic device is obtained by searching according to the configuration information of the radio frequency resource corresponding to the adjacent feature vector, thereby avoiding that the configuration information of the radio frequency resource of the electronic device is obtained by searching from the configuration table of the radio frequency resource in real time and dynamically, shortening the time for obtaining the configuration information of the radio frequency resource of the electronic device by searching, and further reducing the power consumption of the electronic device.
Drawings
Fig. 1 is a flow chart of an alternative searching method for configuration information according to an embodiment of the present application;
fig. 2 is a schematic diagram of a search for a frequency band combination in the related art;
fig. 3 is a diagram of search when adding or deleting CA in the related art;
fig. 4 is a flowchart of an example one of an alternative searching method for configuration information according to an embodiment of the present application;
fig. 5 is a flowchart illustrating an example two of an alternative searching method for configuration information according to an embodiment of the present application;
FIG. 6 is a schematic flow chart of an example of an alternative training point provided in an embodiment of the present application;
fig. 7 is a schematic structural diagram of an alternative electronic device according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of another alternative electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.
An embodiment of the present application provides a method for searching configuration information, where the method is applied to an electronic device, fig. 1 is a schematic flow diagram of an alternative method for searching configuration information provided in the embodiment of the present application, and as shown in fig. 1, the method may include:
s101: when the electronic equipment starts searching configuration information of radio frequency resources, acquiring a feature vector of the electronic equipment;
in the related art, in order to search configuration information of an radio frequency resource, an electronic device generally searches for the most suitable configuration in a radio frequency resource configuration table according to a frequency band combination of CA or ENDC, so as to obtain the optimal radio frequency performance, however, as the number of frequency bands of the third generation partnership project (3GPP,3rd Generation Partnership Project) increases, the number of receiving and transmitting channels supported by radio frequency increases, and up to thousands of CA or ENDC combinations supported by a high-end computer can also cause the radio frequency resource configuration table to be larger and larger.
Fig. 2 is a schematic diagram of searching for a band combination in the related art, as shown in fig. 2, for BandA, bandB, bandC, bandD, bandE and band, the band combination included in the radio frequency resource configuration table includes: bandA, bandB, bandC, bandD, bandA +b, banda+c, banda+d, …, banda+b+c+d, …, bandb+c+d+e+f, …; by adopting the searching algorithm in the related art, a long time is required to search the configuration information of the radio frequency resource of the electronic device, namely BandA+B+C+D.
Fig. 3 is a schematic diagram of searching for CA addition or deletion in the related art, as shown in fig. 3, where the original CA includes only CC0 and CC1, searching for configuration information of radio frequency resources from the radio frequency resource configuration table by using a search algorithm in the related art results in longer searching time, so that a period of occupying a central processing unit (CPU, central Processing Unit) of the electronic device is longer, when CA is added or deleted, searching is started, for example, when CA is added to CC0, CC1, CC2 and CC3, or when CA is deleted to CC0, as the number of 3GPP frequency bands increases and the receiving and transmitting paths of radio frequency support increases, the radio frequency resource configuration table becomes larger and larger, and the corresponding searching time becomes longer and longer, which increases power consumption of the electronic device and load of the CPU.
In order to shorten the duration of searching the configuration information of the radio frequency resource, a searching method is provided in the embodiment of the present application, firstly, when the electronic device starts searching the configuration information of the radio frequency resource, a feature vector of the electronic device is obtained, wherein the feature vector is at least a vector composed of the current geographic position of the electronic device; that is, at least the current geographic location of the electronic device is obtained.
In this way, after the feature vector of the electronic device is obtained, K feature vectors adjacent to the feature vector can be determined from the pre-stored feature vector set according to the feature vector, where K can be a positive integer greater than or equal to 1, so that the configuration information of the radio frequency resource can be determined for the electronic device according to the configuration information of the radio frequency resource corresponding to the adjacent feature vector, and access is performed.
In addition, the feature vector may include, in addition to the current geographic location of the electronic device, the current time of the electronic device, and in an alternative embodiment, the feature vector includes a vector that is composed of the current time of the electronic device and the current geographic location of the electronic device.
That is, the feature vector of the electronic device is a two-dimensional vector, each feature vector includes a time value and a geographic position value, and compared with the feature vector including only the geographic position, the configuration information of the radio frequency resource determined based on the feature vector including the time and the geographic position is more reliable and accurate, and the success rate of accessing the cell of the electronic device can be improved.
In order to start the electronic device to start searching the configuration information of the radio frequency resource, the time for starting searching the radio frequency resource may be set, or according to the connection condition of the electronic device, or according to the change condition of the geographic location of the electronic device, which is not specifically limited in the embodiments of the present application,
further, in order to determine whether to initiate the electronic device to search for configuration information of the radio frequency resource, in an alternative embodiment, the method may further include:
when the electronic equipment reaches the preset searching time, determining configuration information of the electronic equipment for starting searching the radio frequency resources.
Specifically, taking the feature vector of the electronic device as the vector of two dimensions of time and geographic position as an example, since the time point generally included in each feature vector in the feature vector set of the electronic device is a time point in a certain period of time, for example, 8:00-9:00 in the morning, and belongs to the commute road of the office, in this period of time, the geographic position of the electronic device can be moved from home to company generally, then the search time can be set in advance to be between 8:00-9:00 in the morning, and configuration information of searching radio frequency resources can be started every 5 minutes, so that the electronic device can determine the feature vector adjacent to the feature vector of the electronic device from the feature vector set of the electronic device through the proximity algorithm, so that searching from the radio frequency resource configuration table in real time dynamically is avoided, and the search duration is shortened.
In addition to the searching performed at the preset searching time, in order to determine whether to start the electronic device to search the configuration information of the radio frequency resource, in an optional embodiment, the method may further include:
when the geographic position of the electronic equipment changes, determining configuration information of the electronic equipment for starting searching the radio frequency resources.
Specifically, when the geographic position of the electronic device changes, the cell to which the electronic device is connected may need to be switched, and configuration information of searching radio frequency resources needs to be started at this time, where, in order to prevent unnecessary searching, further, when the geographic position of the electronic device changes, a distance between the geographic position after the change and the geographic position before the change may be calculated, and only when the distance is greater than a preset distance threshold, the electronic device starts to search the configuration information of radio frequency resources, so that power consumption consumed by the unnecessary searching can be prevented.
In addition, in addition to meeting the above condition, the electronic device may determine whether to start searching the configuration information of the radio frequency resource by determining the strength of the mobile communication network to which the electronic device is connected, which is not limited herein in the embodiment of the present application.
S102: determining adjacent feature vectors of the electronic equipment from a pre-stored feature vector set of the electronic equipment;
after the feature vector of the electronic device is obtained through S101, in order to determine the configuration information of the radio frequency resource for the electronic device, a proximity algorithm may be used to determine K adjacent feature vectors for the feature vector of the electronic device from the feature vector set of the pre-stored electronic device, so that the configuration information of the radio frequency resource is determined for the electronic device according to the configuration information of the radio frequency resource corresponding to the K adjacent feature vectors, and the adjacent feature vector may also be determined for the feature vector of the electronic device from the feature vector set of the pre-stored electronic device directly through the euclidean distance.
In this way, the configuration information of the radio frequency resources of the electronic equipment is determined, the long time spent on dynamically searching the radio frequency resource configuration table in real time is avoided, and the power consumption of the electronic equipment is reduced.
In the proximity algorithm, the distance measurement formula may include a euclidean distance, a manhattan distance, or a cosine distance, which is not specifically limited in the embodiment of the present application.
Here, in combination with the signal distribution situation of each cell in the mobile communication network, in accurately determining the neighboring feature vectors for the feature vectors of the electronic device, in an alternative embodiment, S102 may include:
calculating the Euclidean distance between each feature vector in the feature vector set of the electronic equipment and the feature vector of the electronic equipment by using a Euclidean distance formula in the proximity algorithm;
and determining the feature vector corresponding to the Euclidean distance meeting the preset condition in the calculated Euclidean distance as the adjacent feature vector.
Specifically, a calculation formula of euclidean distance in a proximity algorithm is adopted, taking an example that feature vectors include time and geographic positions, euclidean distance between each feature vector in a feature vector set and a feature vector of electronic equipment can be calculated, then the euclidean distances are ordered, the feature vectors with the euclidean distances arranged in the first K are determined to be the proximity vectors, and feature vectors with the euclidean distance smaller than or equal to a preset threshold value can be selected to be the proximity feature vectors, wherein the embodiment of the application is not limited in this way; and finally, determining the configuration information of the radio frequency resources of the electronic equipment according to the configuration information of the radio frequency resources corresponding to the adjacent feature vectors, wherein the signal distribution of each cell adopts an outward radiation mode, so that the adjacent feature vectors calculated by the Euclidean distance are more accurate, and the determination of the configuration information of the radio frequency resources of the electronic equipment is facilitated.
S103: and determining the configuration information of the radio frequency resources of the electronic equipment according to the configuration information of the radio frequency resources corresponding to the adjacent feature vectors.
After determining the adjacent feature vector, since the configuration information of the radio frequency resource corresponding to the adjacent feature vector has a correlation with the configuration information of the radio frequency resource of the electronic device, here, the configuration information of the radio frequency resource of the electronic device may be determined according to the configuration information of the radio frequency resource corresponding to the adjacent feature vector, and in order to determine the configuration information of the radio frequency resource of the electronic device, in an alternative embodiment, S103 may include:
when the adjacent feature vector is one, determining the radio frequency configuration information corresponding to the adjacent feature vector as the configuration information of the radio frequency resource of the electronic equipment;
when at least two adjacent feature vectors are provided, a feature vector corresponding to the minimum value of the distance between the feature vectors of the electronic equipment is selected from the adjacent feature vectors, and the radio frequency configuration information corresponding to the selected feature vector is determined as the configuration information of the radio frequency resource of the electronic equipment.
The number of the determined adjacent feature vectors may be one or more, which is not specifically limited in the embodiment of the present application.
Specifically, the method may be divided into two cases according to the number of adjacent feature vectors, where one case is that when the number of adjacent feature vectors is one, then configuration information of radio frequency resources corresponding to the adjacent feature vectors is directly determined as configuration information of radio frequency resources of the electronic device, and another case is that when the number of adjacent feature vectors is at least two, one feature vector may be selected from the adjacent feature vectors, specifically, a distance between the adjacent feature vectors of the electronic device is calculated in an adjacent algorithm, a feature vector corresponding to a minimum value of the distance is selected, and configuration information of radio frequency resources corresponding to the selected feature vector is determined as configuration information of radio frequency resources of the electronic device. The distance calculation formula here may include a euclidean distance, a manhattan distance, or a cosine distance, which is not specifically limited in the embodiment of the present application.
Here, it should be noted that, besides the feature vector set of the electronic device is stored in the electronic device in advance, configuration information of radio frequency resources corresponding to each feature vector in the feature vector set is also stored, so that adjacent feature vectors are determined, and the configuration information of radio frequency resources of the electronic device is determined.
In addition, after determining the configuration information of the radio frequency resource of the electronic device, the configuration information of the radio frequency resource may be the configuration information of the radio frequency resource of the current cell to be accessed, or may not be the configuration information of the radio frequency resource of the current cell to be accessed, so as to achieve access to the current cell to be accessed to achieve cell switching, in an optional embodiment, the method may further include:
when the configuration information of the radio frequency resources of the electronic equipment is the same as the configuration information of the radio frequency resources issued by the base station, accessing according to the configuration information of the radio frequency resources of the electronic equipment;
when the matching information of the radio frequency resources of the electronic equipment is different from the configuration information of the radio frequency resources issued by the base station, searching from a preset radio frequency resource configuration table to obtain the configuration information of the radio frequency resources of the electronic equipment.
That is, after searching the configuration information of the radio frequency resource, the electronic device needs to compare with the configuration information of the radio frequency resource issued by the base station, and only when the configuration information of the radio frequency resource of the electronic device is the same as the configuration information of the radio frequency resource issued by the base station, it is stated that the configuration information of the radio frequency resource searched by the electronic device is the configuration information of the radio frequency resource of the cell to be accessed currently, then the electronic device is accessed according to the configuration information of the radio frequency resource of the electronic device.
When the configuration information of the radio frequency resource of the electronic device is different from the configuration information of the radio frequency resource issued by the base station, it is indicated that the configuration information of the radio frequency resource searched by the electronic device is not the configuration information of the radio frequency resource of the cell to be accessed currently, and then, in order to realize cell switching, a searching method in the related art, that is, searching from a preset radio frequency resource configuration table, may be used, so as to obtain the configuration information of the electronic device.
Therefore, the switching of the electronic equipment to the cell can be realized by comparing the configuration information of the radio frequency resources of the electronic equipment obtained by searching with the configuration information of the radio frequency resources issued by the base station, and the mobile communication network of the electronic equipment is ensured to be in a connection state.
In order to implement that the feature vector set of the electronic device and the configuration information of the radio frequency resource corresponding to each feature vector in the feature vector set are stored in advance in the electronic device, in an optional embodiment, the method may further include:
when the electronic equipment searches configuration information of radio frequency resources of the electronic equipment, the feature vector of the electronic equipment is stored into a feature vector set of the electronic equipment;
and storing the corresponding relation between the feature vector of the electronic equipment and the configuration information of the radio frequency resource of the electronic equipment.
When the electronic device searches the configuration information of the radio frequency resource of the electronic device, it should be noted that the configuration information of the radio frequency resource of the electronic device searched may be the configuration information of the radio frequency resource of the electronic device searched by the above-mentioned proximity algorithm method, or may be the configuration information of the radio frequency resource searched from a preset resource configuration table in the related art, which is not limited herein in particular.
When the electronic device searches configuration information of radio frequency resources of the electronic device, the feature vector of the electronic device is stored in a feature vector set of the electronic device, where the feature vector of the electronic device may include time, time and geographic location, and embodiments of the present application are not limited in detail herein.
And finally, the electronic equipment also stores the corresponding relation between the characteristic vector of the electronic equipment and the configuration information of the radio frequency resources of the electronic equipment into the electronic equipment, so that the searched characteristic vector and the configuration information of the radio frequency resources corresponding to the characteristic vector are stored in the electronic equipment, and the configuration information of the radio frequency resources of the electronic equipment can be searched out from the pre-stored characteristic vector and the configuration information of the radio frequency resources corresponding to the characteristic vector by utilizing a proximity algorithm in each search, thereby shortening the search time of the configuration information of the radio frequency resources and speaking the power consumption of the electronic equipment.
The search methods described in one or more of the above embodiments are described below by way of example.
Fig. 4 is a flowchart of an example one of an alternative configuration information searching method provided in the embodiment of the present application, as shown in fig. 4, not only a radio frequency searching module but also an artificial intelligence (AI, artificial Intelligence) module are provided in a User Equipment (UE), and the searching method may include:
s401: the radio frequency searching module utilizes the searching to obtain the time, the place and the configuration information of radio frequency resources of the UE;
s402: the radio frequency searching module reports the time, the place and the configuration information of the radio frequency resource of the UE obtained by searching to the AI module;
s403: the AI module generates a training point in a group of time and place, and stores configuration information of radio frequency resources corresponding to each training point;
specifically, the AI module is responsible for learning the CC combination and the radio frequency configuration of the current cell and generating training points by using time and place information, and obtaining configuration information of radio frequency resources of a plurality of training points and training points after learning for a period of time, and fig. 5 is a flow chart of an example two of an alternative searching method for configuration information provided in an embodiment of the present application, as shown in fig. 5, in which time is taken as a horizontal axis, place is taken as a vertical axis, and place is mainly from home to company, so as to generate a training point library.
S404: when searching configuration information of radio frequency resources, a radio frequency searching module acquires training points of UE and sends the training points to an AI module;
s405: the AI module determines a training point with the shortest Euclidean distance with the training point of the UE from the stored training points by using a K Nearest Neighbor classification algorithm (KNN, K-Nearest Neighbor) algorithm, and determines configuration information of radio frequency resources corresponding to the Nearest Neighbor training point as configuration information of radio frequency resources of the UE;
specifically, a prediction point is generated by using a time and place, a training point of the UE is predicted to be closer to which training point based on a KNN algorithm, and a euclidean distance calculation formula is used for the distance:
where ρ is the Euclidean distance, (x 1, y 1) is the coordinates of the nearest neighbor training point and (x 2, y 2) is the coordinates of the training point of the UE.
Fig. 6 is a schematic flow chart of an example of an optional training point provided in an embodiment of the present application, as shown in fig. 6, and is configured to a radio frequency search module in advance at time t1 in the following figure.
S406: when the UE needs to be accessed to a new cell, comparing the radio frequency resource information of the UE with the configuration information of the radio frequency resource issued by the base station, and accessing the new cell based on the configuration information of the radio frequency resource of the UE if the configuration information of the radio frequency resource of the UE is hit; if the User Equipment (UE) does not hit, the UE adopts a dichotomy or HASH (HASH) table look-up method to search, a search result is obtained, and the search result is reported to the AI module.
Specifically, when the UE performs radio frequency resource switching, the radio frequency search module preferentially reads the configuration predicted by the AI module. If hit, save the time that the routine search needs; if the search result is not hit, the radio frequency search module starts the conventional search flow and searches the radio frequency configuration by using a common dichotomy or HASH table lookup method. And the results are fed on to the training model of the AI module.
That is, the AI module is responsible for learning a common combination of CAs for a particular cell and based on this common combination, dynamically predicting the radio frequency configuration required for CC addition or deletion that may occur subsequently using the KNN algorithm. Thus, when the UE is switched to a certain Primary Cell (PCLL), the required radio frequency resource configuration can be predicted and prepared in advance.
Through the above example, when the CA combination changes, the AI module can predict the radio frequency resource configuration required by the CA combination change in advance based on the learning result of the current cell, so that the conventional search algorithm is not required to be dynamically started in real time to search the radio frequency resource configuration without memory when the radio frequency resource changes, thereby reducing the CPU load and the UE power consumption, and simultaneously relieving the requirement of the increase of the 3GPP frequency band on the processing time of the conventional search algorithm.
The embodiment of the application provides a searching method for configuration information, which is applied to electronic equipment and comprises the following steps: when the electronic equipment starts searching the configuration information of the radio frequency resources, the feature vector of the electronic equipment is obtained, the feature vector is at least a vector formed by the current geographic position of the electronic equipment, the adjacent feature vector of the electronic equipment is determined from a pre-stored feature vector set of the electronic equipment, and the configuration information of the radio frequency resources of the electronic equipment is determined according to the configuration information of the radio frequency resources corresponding to the adjacent feature vector; that is, in the embodiment of the application, when the electronic device searches the configuration information of the radio frequency resource, the proximity algorithm is used to determine the feature vector adjacent to the current electronic device from the feature vector set of the electronic device stored in advance, so that the configuration information of the radio frequency resource of the electronic device is obtained by searching according to the configuration information of the radio frequency resource corresponding to the adjacent feature vector, the real-time dynamic search from the configuration list of the radio frequency resource is avoided to obtain the configuration information of the radio frequency resource of the electronic device, the time for obtaining the configuration information of the radio frequency resource of the electronic device by searching is shortened, and the power consumption of the electronic device is further reduced.
Based on the same inventive concept, an embodiment of the present application provides an electronic device, and fig. 7 is a schematic structural diagram of an alternative electronic device provided in the embodiment of the present application, as shown in fig. 7, where the electronic device includes: an acquisition module 71, a first determination module 72, and a second determination module 73; wherein,,
an obtaining module 71 configured to obtain a feature vector of the electronic device when the electronic device starts searching configuration information of the radio frequency resource; wherein the feature vector is at least a vector composed of the current geographic location of the electronic device;
a first determining module 72 configured to determine, from a set of feature vectors of the electronic device stored in advance, neighboring feature vectors of the electronic device;
the second determining module 73 is configured to determine configuration information of radio frequency resources of the electronic device according to configuration information of radio frequency resources corresponding to the adjacent feature vectors.
In an alternative embodiment, the feature vector comprises a vector consisting of the current time of the electronic device and the current geographic location of the electronic device.
In an alternative embodiment, the electronic device is further configured to:
when the configuration information of the radio frequency resources of the electronic equipment is the same as the configuration information of the radio frequency resources issued by the base station, accessing according to the configuration information of the radio frequency resources of the electronic equipment;
when the matching information of the radio frequency resources of the electronic equipment is different from the configuration information of the radio frequency resources issued by the base station, searching from a preset radio frequency resource configuration table to obtain the configuration information of the radio frequency resources of the electronic equipment.
In an alternative embodiment, the electronic device is further configured to:
when the electronic equipment searches configuration information of radio frequency resources of the electronic equipment, the feature vector of the electronic equipment is stored into a feature vector set of the electronic equipment;
and storing the corresponding relation between the feature vector of the electronic equipment and the configuration information of the radio frequency resource of the electronic equipment.
In an alternative embodiment, the electronic device is further configured to:
when the electronic equipment reaches the preset searching time, determining configuration information of the electronic equipment for starting searching the radio frequency resources.
In an alternative embodiment, the electronic device is further configured to:
when the geographic position of the electronic equipment changes, determining configuration information of the electronic equipment for starting searching the radio frequency resources.
In an alternative embodiment, the first determination module 72 is specifically configured to:
calculating the Euclidean distance between each feature vector in a feature vector set of the electronic equipment and the feature vector of the electronic equipment by using a Euclidean distance formula in a proximity algorithm;
and determining the feature vector corresponding to the Euclidean distance meeting the preset condition in the calculated Euclidean distance as the adjacent feature vector.
In an alternative embodiment, the second determining module 73 is specifically configured to:
when the adjacent feature vector is one, determining the radio frequency configuration information corresponding to the adjacent feature vector as the configuration information of the radio frequency resource of the electronic equipment;
when at least two adjacent feature vectors are provided, a feature vector corresponding to the minimum value of the distance between the feature vectors of the electronic equipment is selected from the adjacent feature vectors, and the radio frequency configuration information corresponding to the selected feature vector is determined as the configuration information of the radio frequency resource of the electronic equipment.
Fig. 8 is a schematic structural diagram of another alternative electronic device provided in an embodiment of the present application, as shown in fig. 8, where an electronic device 800 includes: a processor 81 and a storage medium 82 storing instructions executable by the processor; the storage medium 82 performs operations in dependence upon the processor 81 through the communication bus 83, which, when executed by the processor, perform the method of searching for configuration information described above as being performed on the processor side in one or more embodiments.
In practical use, the components in the terminal are coupled together via the communication bus 83. It is understood that the communication bus 83 is used to enable connected communication between these components. The communication bus 83 includes a power bus, a control bus, and a status signal bus in addition to the data bus. But for clarity of illustration the various buses are labeled as communication bus 83 in fig. 8.
Embodiments of the present application provide a computer storage medium storing executable instructions that, when executed by one or more processors, perform the method for searching configuration information described in one or more embodiments above.
The computer readable storage medium may be a magnetic random access Memory (ferromagnetic random access Memory, FRAM), read Only Memory (ROM), programmable Read Only Memory (Programmable Read-Only Memory, PROM), erasable programmable Read Only Memory (Erasable Programmable Read-Only Memory, EPROM), electrically erasable programmable Read Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), flash Memory (Flash Memory), magnetic surface Memory, optical disk, or compact disk Read Only Memory (Compact Disc Read-Only Memory, CD-ROM).
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described 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 flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or 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, embedded processor, 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, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing description is only of the preferred embodiments of the present application and is not intended to limit the scope of the present application.
Claims (11)
1. The searching method of the configuration information is characterized by being applied to the electronic equipment and comprising the following steps:
when the electronic equipment starts searching configuration information of radio frequency resources, acquiring a feature vector of the electronic equipment; wherein the feature vector is at least a vector consisting of the current geographic location of the electronic device;
determining adjacent feature vectors of the electronic equipment from a pre-stored feature vector set of the electronic equipment;
and determining the configuration information of the radio frequency resources of the electronic equipment according to the configuration information of the radio frequency resources corresponding to the adjacent feature vectors.
2. The method of claim 1, wherein the feature vector comprises a vector consisting of a current time of the electronic device and a current geographic location of the electronic device.
3. The method according to claim 1, wherein the method further comprises:
when the configuration information of the radio frequency resources of the electronic equipment is the same as the configuration information of the radio frequency resources issued by the base station, accessing according to the configuration information of the radio frequency resources of the electronic equipment;
and searching from a preset radio frequency resource configuration table to obtain the configuration information of the radio frequency resource of the electronic equipment when the matching information of the radio frequency resource of the electronic equipment is different from the configuration information of the radio frequency resource issued by the base station.
4. A method according to any one of claims 1 to 3, further comprising:
when the electronic equipment searches configuration information of radio frequency resources of the electronic equipment, the feature vector of the electronic equipment is stored into a feature vector set of the electronic equipment;
and storing the corresponding relation between the feature vector of the electronic equipment and the configuration information of the radio frequency resource of the electronic equipment.
5. The method according to claim 1, wherein the method further comprises:
when the electronic equipment reaches the preset searching time, determining configuration information of the electronic equipment for starting searching the radio frequency resources.
6. The method according to claim 1, wherein the method further comprises:
and when the geographic position of the electronic equipment changes, determining configuration information of the electronic equipment for starting searching radio frequency resources.
7. The method of claim 1, wherein the determining, according to a proximity algorithm, a neighboring feature vector of the electronic device from a pre-stored set of feature vectors of the electronic device comprises:
calculating the Euclidean distance between each feature vector in the feature vector set of the electronic equipment and the feature vector of the electronic equipment by using the Euclidean distance formula in the proximity algorithm;
and determining the feature vector corresponding to the Euclidean distance meeting the preset condition in the calculated Euclidean distance as the adjacent feature vector.
8. The method according to claim 1, wherein the determining the configuration information of the radio frequency resource of the electronic device according to the configuration information of the radio frequency resource corresponding to the neighboring feature vector includes:
when the adjacent feature vector is one, determining the radio frequency configuration information corresponding to the adjacent feature vector as the configuration information of the radio frequency resource of the electronic equipment;
when the number of the adjacent feature vectors is at least two, a feature vector corresponding to the minimum value of the distance between the feature vectors of the electronic equipment is selected from the adjacent feature vectors, and the radio frequency configuration information corresponding to the selected feature vector is determined as the configuration information of the radio frequency resource of the electronic equipment.
9. An electronic device, comprising:
the acquisition module is configured to acquire the feature vector of the electronic equipment when the electronic equipment starts searching the configuration information of the radio frequency resource; wherein the feature vector is at least a vector consisting of the current geographic location of the electronic device;
a first determining module configured to determine, from a set of feature vectors of the electronic device stored in advance, a neighboring feature vector of the electronic device;
and the second determining module is configured to determine the configuration information of the radio frequency resources of the electronic equipment according to the configuration information of the radio frequency resources corresponding to the adjacent feature vectors.
10. An electronic device, comprising: a processor and a storage medium storing instructions executable by the processor; the storage medium performs operations in dependence on the processor through a communication bus, which when executed by the processor, performs the method of searching for configuration information according to any one of the preceding claims 1 to 8.
11. A computer storage medium storing executable instructions which, when executed by one or more processors, perform the method of searching for configuration information of any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111214762.8A CN115996353A (en) | 2021-10-19 | 2021-10-19 | Configuration information searching method, electronic equipment and computer storage medium |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111214762.8A CN115996353A (en) | 2021-10-19 | 2021-10-19 | Configuration information searching method, electronic equipment and computer storage medium |
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| Publication Number | Publication Date |
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| CN115996353A true CN115996353A (en) | 2023-04-21 |
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| CN202111214762.8A Pending CN115996353A (en) | 2021-10-19 | 2021-10-19 | Configuration information searching method, electronic equipment and computer storage medium |
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