CN111787598B

CN111787598B - Network searching method, device, multi-mode terminal and storage medium

Info

Publication number: CN111787598B
Application number: CN202010592674.0A
Authority: CN
Inventors: 刘君
Original assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Current assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date: 2020-06-24
Filing date: 2020-06-24
Publication date: 2022-11-01
Anticipated expiration: 2040-06-24
Also published as: WO2021258854A1; CN111787598A

Abstract

The embodiment of the application discloses a network searching method, a device, a multi-mode terminal and a storage medium, wherein the method comprises the following steps: acquiring network system information supported by a multi-mode terminal; the network system information comprises a plurality of candidate network systems corresponding to frequency bands supported by a wireless access technology and/or a wireless access technology; determining a network searching probability value of each candidate network type in the network type information; determining a list of network systems to be searched corresponding to each search period according to the network searching probability value of each candidate network system; and in each search period, network search is carried out according to the determined network system list to be searched.

Description

Network searching method, device, multi-mode terminal and storage medium

Technical Field

The present application relates to the field of communications technologies, and in particular, to a network search method and apparatus, a multi-mode terminal, and a storage medium.

Background

With the increasing demand for mobile communication, mobile communication Technology has been developed unprecedentedly, and the coverage of the network has become more complicated and diversified, such as the Radio Access Technology (RAT) is developed from the Second Generation mobile communication (2G) network, the Third Generation mobile communication (3G) network to the Fifth Generation mobile communication (5G) network. In order to enable users to enjoy the convenience of mobile communication technology anytime and anywhere, a multimode terminal supporting multiple network standards has become a mainstream of development.

At present, a multimode terminal supports at least four modes, such as Global System of Mobile Communication (GSM), universal Mobile Telecommunications System (UMTS), long Term Evolution (LTE), new air interface (NR) technology, and the like, and each mode can also support multiple frequency bands (bands). In the network search process, the existing multimode terminal generally needs to scan all supported radio access technologies and frequency bands, which not only increases power consumption, but also causes delay of network search time.

Disclosure of Invention

The application provides a network searching method, a network searching device, a multi-mode terminal and a storage medium, wherein a low-possibility wireless access technology and/or frequency band are/is skipped in the network searching process, so that not only can the power consumption be reduced, but also the network searching time can be shortened, and the network searching time delay is reduced.

In order to achieve the purpose, the technical scheme of the application is realized as follows:

in a first aspect, an embodiment of the present application provides a network search method, where the method includes:

acquiring network system information supported by a multi-mode terminal; the network system information comprises a plurality of candidate network systems corresponding to frequency bands supported by a wireless access technology and/or a wireless access technology;

determining a network searching probability value of each candidate network type in the network type information;

determining a list of network systems to be searched corresponding to each search period according to the network searching probability value of each candidate network system;

and in each search period, network search is carried out according to the determined network system list to be searched.

In a second aspect, an embodiment of the present application provides a network search apparatus, which is applied to a multimode terminal, and includes an obtaining unit, a determining unit, and a searching unit; wherein the content of the first and second substances,

the acquisition unit is configured to acquire network system information supported by the multimode terminal; the network system information comprises a plurality of candidate network systems corresponding to frequency bands supported by a wireless access technology and/or a wireless access technology;

the determining unit is configured to determine a network searching probability value of each candidate network type in the network type information;

the determining unit is further configured to determine a list of network systems to be searched corresponding to each search period according to the network search probability value of each candidate network system;

and the searching unit is configured to perform network searching according to the determined network format list to be searched in each searching period.

In a third aspect, an embodiment of the present application provides a multimode terminal, which includes a memory and a processor; wherein the content of the first and second substances,

the memory for storing a computer program operable on the processor;

the processor, when executing the computer program, is configured to perform the method according to the first aspect.

In a fourth aspect, an embodiment of the present application provides a chip, where the chip includes a memory and a processor; wherein the content of the first and second substances,

the memory for storing a computer program operable on the processor;

the processor is configured to, when running the computer program, cause a device on which the chip is installed to perform the method according to the first aspect.

In a fifth aspect, embodiments of the present application provide a computer storage medium storing a network search program, where the network search program, when executed by at least one processor, implements the method according to the first aspect.

The network searching method, the network searching device, the multi-mode terminal and the storage medium provided by the embodiment of the application acquire the network system information supported by the multi-mode terminal, wherein the network system information comprises a plurality of candidate network systems corresponding to frequency bands supported by a wireless access technology and/or a wireless access technology; determining a network searching probability value of each candidate network type in the network type information; determining a list of network systems to be searched corresponding to each search period according to the network searching probability value of each candidate network system; and in each search period, network search is carried out according to the determined network system list to be searched. Therefore, the network searching probability value of each candidate network system is determined according to the historical residence information of the multimode terminal, then the network searching operation is executed according to the determined network searching probability value, and the wireless access technology and/or frequency band with low possibility (namely low network searching probability value) can be skipped, so that the power consumption caused by network searching can be reduced, the network searching time can be shortened, and the purpose of quickly obtaining service is achieved.

Drawings

Fig. 1 is a schematic structural diagram of a typical network search operation mode provided in the related art;

FIG. 2 is a schematic diagram of a mobile report classified by region and technology according to the related art;

fig. 3 is a schematic flowchart of a network searching method according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of a preset database according to an embodiment of the present disclosure;

fig. 5 is a schematic structural diagram of a network search operation mode according to an embodiment of the present application;

fig. 6 is a schematic flowchart of another network searching method according to an embodiment of the present application;

fig. 7 is a schematic flowchart of determining a network searching probability value according to an embodiment of the present application;

fig. 8 is a schematic structural diagram of a network searching apparatus according to an embodiment of the present application;

fig. 9 is a schematic structural diagram of another network searching apparatus according to an embodiment of the present application;

fig. 10 is a schematic diagram of a specific hardware structure of a multimode terminal according to an embodiment of the present application;

fig. 11 is a schematic diagram of a specific hardware structure of a chip according to an embodiment of the present disclosure.

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. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant application and are not limiting of the application. It should be noted that, for the convenience of description, only the parts related to the related applications are shown in the drawings.

With the development of mobile communication technology, the multi-mode terminal technology is mature and is commercially popularized well. The multimode terminal mainly refers to a device capable of supporting multiple access technologies simultaneously, and may be a dual-mode terminal, a three-mode terminal, a four-mode terminal, or even more-mode terminals. The radio access technology (also referred to as air interface) refers to a method for connecting a user terminal with a network node through a wireless medium, so as to realize information transfer between the user and the network. Here, the radio access technology may include multiple access technologies such as GSM, UMTS, LTE, and NR, and may further include multiple frequency bands for each access technology; for example, for GSM, multiple frequency bands such as GSM-850/GSM-900/GSM-1800/GSM-1900 may be included; for UMTS, there may be a plurality of frequency bands such as 2100/1900/1800/1700/850, and the embodiments of the present application are not limited in any way.

In practical applications, after the multimode terminal is powered on, it is usually required to search for a network. The current network searching process is generally an operation of attempting network searching for network system information (including all radio access technologies and frequency bands) supported by the multimode terminal. Specifically, as shown in fig. 1, it shows a schematic structural diagram of a typical network search operation mode provided in the related art. In fig. 1, the radio access technologies may include four types, such as NR/LTE/UMTS/GSM, where GSM may also be referred to as 2G access technology, UMTS may also be referred to as 3G access technology, and each access technology may include multiple frequency bands, and taking NR technology as an example, it is assumed that four frequency bands, such as a/b/x/y, may be included. As can be seen from fig. 1, for the multimode terminal, the network search operation mode is to repeatedly perform network search at a certain time interval (Timeout, T), and in each search period, all supported radio access technologies and frequency bands are searched; but this will create challenges for network search and selection, not only power consumption problems, but also delays in network search time.

In view of the continuous evolution of network technology, as shown in fig. 2, a schematic diagram of a mobile subscription report classified by regions and technologies provided by the related art is shown. The radio Access technologies include 5G, LTE (4G), wideband Code Division Multiple Access (WCDMA)/High Speed Packet Access (HSPA) (3G), time Division Synchronous Code Division Multiple Access (WCDMA) (2G/3G), GSM/Enhanced Data Rate for GSM Evolution (Enhanced Data Rate for GSM Evolution-only) (2G), code Division Multiple Access (Code Division Multiple Access-only) (2G), CDMA-only) (2G/3G), etc., and it should be noted that the Access technologies with a subscription amount less than one percent are not shown in the figure.

Thus, as can be seen from fig. 2, with the advancement of the era and the evolution of network technologies, inefficient radio access technologies are being reconstructed (refarming) to new technologies, such as GSM/UMTS to LTE/NR. At this time, for the old access technology (such as GSM/UMTS) that is not used by the multimode terminal or has been refarming to the new access technology, the embodiment of the present application may try to skip the search of these access technologies as much as possible when searching for the network.

Based on this, the embodiment of the application provides a network searching method, after network system information supported by a multimode terminal is obtained, a network searching probability value of each candidate network system in the supported network system information can be determined through self-learning of user use conditions and historical resident information within a certain time period; then, according to the network searching probability value of each candidate network system, further determining a list of network systems to be searched corresponding to each search period, so that in each search period, network searching can be performed according to the determined list of network systems to be searched; therefore, the wireless access technology and/or frequency band with low possibility (namely low network searching probability value) can be skipped, so that the power consumption caused by network searching can be reduced, the network searching time can be shortened, and the aim of rapidly obtaining service is fulfilled.

Embodiments of the present application will be described in detail below with reference to the accompanying drawings.

In an embodiment of the present application, referring to fig. 3, a flowchart of a network searching method provided in the embodiment of the present application is shown. As shown in fig. 3, the method may include:

s301: acquiring network system information supported by a multi-mode terminal;

in this embodiment, the network format information may include multiple candidate network formats corresponding to frequency bands supported by the radio access technology and/or the radio access technology.

It should be noted that the method is applied to a network search apparatus, or a multimode terminal integrated with a network search apparatus. Here, the multimode terminal may be a device having multimode capability, such as a smart phone, a tablet computer, a notebook computer, a palmtop computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a navigation device, a wearable device, a User Equipment (UE), a mobile station (mobile station), and the like.

It should be noted that, for the multimode terminal, the multimode terminal may support multiple candidate network formats. From the perspective of radio access technology, when the multimode terminal is a dual-mode terminal, the candidate network types at this time may include two types, such as GSM/UMTS, GSM/LTE, LTE/NR, and the like; when the multimode terminal is a three-mode terminal, a four-mode terminal, or even a multimode terminal, taking the four-mode terminal as an example, the candidate network types at this time may include four types, such as GSM/UMTS/LTE/NR and the like; in addition, for the same radio access technology, taking GSM as an example, from the supported frequency band perspective, the candidate network systems at this time may also include multiple types, such as GSM-850/GSM-900/GSM-1800/GSM-1900, and the like.

S302: determining a network searching probability value of each candidate network type in the network type information;

it should be noted that after the network system information supported by the multimode terminal is obtained, the network searching probability value of each candidate network system may be determined through self-learning of the user usage situation and the historical residence information within a certain time period (usually, more than several months), so as to determine which candidate network systems to skip in the subsequent process.

Here, the network search probability value may also be referred to as a ratio value or a ratio value, which is expressed by ratio, and specifically means how many network search cycles of a certain candidate network system execute a network search. If the network searching probability value corresponding to a certain candidate network system is 1/2, network searching of the candidate network system is executed once every two network searching periods; if the network searching probability value corresponding to a certain candidate network system is 1/4, network searching of the candidate network system is executed once every four network searching periods. In the embodiment of the present application, the value range of the network searching probability value may be between 0 and 1.

It should be understood that the preset database can be regarded as a big data concept, and the preset database is provided with historical residence information of the multimode terminal, wherein the historical residence information is usually about months of mobility behavior of the multimode terminal. That is, the preset database is established according to the daily use condition of the user and the habit of the user; through self-learning of the preset database, the network searching probability value of each candidate network system can be determined. Therefore, in some embodiments, the determining a network searching probability value of each candidate network standard in the network standard information may include:

establishing a preset database; the preset database comprises historical residence information of the multimode terminal;

and self-learning the preset database to obtain the network searching probability value of each candidate network system in the network system information.

Further, for the preset database, the updating can be kept in the operation process of the multimode terminal, so as to ensure that accurate historical residence information is always provided. In some embodiments, the method may further comprise:

acquiring historical residence information of the multimode terminal;

and updating the preset database according to the acquired historical residence information.

That is, in order to learn the mobility behavior of the multimode terminal in the last months and to count which candidate network systems (for example, which radio access technology and frequency band combination) are more desirable to obtain the network search, self-learning needs to be performed on the preset database at this time to obtain the network search probability value of each candidate network system in the network system information supported by the multimode terminal.

It should be noted that the preset database can be categorized into Public Land Mobile Network (PLMN) and entity (count); and a preset database is correspondingly stored for each operator category. Fig. 4 is a schematic diagram illustrating a composition structure of a preset database according to an embodiment of the present disclosure. In fig. 4, the preset Database is established on a specific PLMN, and the preset Database may be a user-side mobile Database (UE-Mobility-Database) that includes historical residence information of four candidate network systems, such as GSM, UMTS, LTE, and NR; from a radio access technology perspective (including GSM-RAT/UMTS-RAT/LTE-RAT/NR-RAT), the historical Camping information at this time may include statistics of total Camping time in Last x months (Camping Duration statistics in Last x months) and timestamp information of Last Camping/Detected (Last Camped/Detected timestamp), etc.; from the frequency Band perspective (including GSM Band list/UMTS Band list/LTE-Band list/NR Band list), the historical Camping information at this time may include the frequency Band number (Band number), statistics of the total Camping time in Last x months (Camping Duration statistics in Last x months), and Last Camping/Detected timestamp information (Last clamped/Detected timestamp), etc.

Thus, according to the preset database example shown in fig. 4, the user may obtain historical residence information from a particular PLMN for a long enough time (e.g., x months) so that the determination of the network searching probability value is statistically based on enough historical data. Here, the process of determining the network searching probability value may include one or more inputs and an output; wherein the one or more inputs may include: total residence time statistical information, and/or timestamp information of the last residence detection, and/or predefined configuration information; one output is the network searching probability value of the candidate network system (wireless access technology/frequency band). That is to say, according to the one or more inputs, a network searching probability value of the radio access technology/frequency band can be determined, and the network searching probability value is used as an output to be used for subsequently determining a network format list to be searched corresponding to each searching period.

S303: determining a list of network systems to be searched corresponding to each search period according to the network searching probability value of each candidate network system;

it should be noted that the list of network formats to be searched may include one or more network formats. That is to say, after the network searching probability value of each candidate network system is obtained, the list of the network systems to be searched corresponding to each search period can be determined, and the list of the network systems to be searched does not include all the candidate network systems; for the candidate network modes with lower network searching probability values, because the probability of obtaining services is lower, the candidate network modes with low probability can be skipped in part of the searching period, thereby achieving the purposes of saving power consumption and shortening network searching time.

S304: and in each search period, network search is carried out according to the determined network system list to be searched.

That is to say, in the network searching process, after the network format list to be searched corresponding to each search period is determined, for each search period, the network searching operation may be performed by using the network mode list to be searched corresponding to the search period.

Assuming that the first candidate network system is any one of the multiple candidate network systems, if the network searching probability value of the first candidate network system is smaller than 1, which indicates that the to-be-searched network system list corresponding to a part of search periods does not include the first candidate network system, in the part of search periods, the to-be-searched network mode list not including the first candidate network system is used for executing network search operation.

Referring to fig. 5, a schematic structural diagram of a network search operation mode according to an embodiment of the present application is shown. As shown in fig. 5, the radio access technologies include four types, such as NR/LTE/UMTS/GSM, where GSM may also be referred to as 2G access technology, UMTS may also be referred to as 3G access technology, and each access technology may include multiple frequency bands, and taking NR technology as an example, it is assumed that four frequency bands, such as a/b/x/y, are included. Here, from the perspective of radio access technology, the network searching probability value of NR is equal to 1, the network searching probability value of LTE is equal to 1, the network searching probability value of UMTS is equal to 1/2, the network searching probability value of GSM is equal to 1/4; from the angle of the frequency band, the network searching probability value of a is equal to 1, the network searching probability value of b is equal to 1/2, the network searching probability value of x is equal to 1, and the network searching probability value of y is equal to 1/2; according to the network searching probability values, a network system list to be searched corresponding to each searching period can be determined, for example, for a wireless access technology, a first searching period only executes network searching on the network system list to be searched composed of NR and LTE, a second searching period only executes network searching on the network system list to be searched composed of NR, LTE and UMTS, a third searching period only executes network searching on the network system list to be searched composed of NR and LTE, and a fourth searching period executes network searching on the network system list to be searched composed of NR, LTE, UMTS and GSM; for the frequency band corresponding to the NR access technology, the first search cycle performs network search only on the to-be-searched network format list composed of a and x, and the third search cycle also performs network search only on the to-be-searched network format list composed of a and x. As can be seen from fig. 5, the network search is still repeated at certain time intervals, but in each search period, the selected radio access technology and frequency band are searched according to the calculated network search probability value, and for the radio access technology and frequency band with lower network search probability value (e.g. the area covered by gray in fig. 5), the embodiment of the present invention skips these radio access technologies and frequency bands.

In short, in the embodiment of the present application, a preset database is established according to historical residence information of a multimode terminal (i.e., daily use conditions of a user), then, learning analysis is performed on the preset database, candidate network systems with high possibility that a service is more likely to be obtained can be found, and network searching probability values of the candidate network systems with high possibility are correspondingly improved in network search; meanwhile, for low-possibility candidate network systems, namely the candidate network systems are usually referred to as old access technologies (GSM, UMTS and the like) and have lower network searching performance, the network searching probability values of the low-possibility candidate network systems can be reduced in network searching, and the searching of the low-possibility candidate network systems is skipped correspondingly.

The embodiment provides a network searching method, which comprises the steps of obtaining network system information supported by a multimode terminal; the network system information comprises a plurality of candidate network systems corresponding to frequency bands supported by a wireless access technology and/or a wireless access technology; determining a network searching probability value of each candidate network type in the network type information; determining a list of network systems to be searched corresponding to each search period according to the network searching probability value of each candidate network system; and in each search period, network search is carried out according to the determined network system list to be searched. Therefore, the network searching probability value of each candidate network system is determined according to the historical residence information of the multimode terminal, then the network searching operation is executed according to the determined network searching probability value, and the wireless access technology and/or frequency band with low possibility (namely low network searching probability value) can be skipped, so that the power consumption caused by network searching can be reduced, the network searching time can be shortened, and the purpose of rapidly obtaining service is achieved.

In another embodiment of the present application, refer to fig. 6, which shows a flowchart of another network searching method provided in the embodiment of the present application. As shown in fig. 6, the method may include:

s601: acquiring network system information supported by a multi-mode terminal;

it should be noted that the network format information may include multiple candidate network formats corresponding to the radio access technology and/or the frequency band. Here, the frequency band refers to frequency band information supported by a radio access technology. Specifically, from the perspective of radio access technology, the candidate network types may include multiple types, such as GSM/UMTS/LTE/NR, etc.; for each radio access technology, from the frequency band perspective, the candidate network systems may also include multiple types, and taking GSM as an example, the candidate network systems may include GSM-850/GSM-900/GSM-1800/GSM-1900, and the like.

Therefore, for the multiple candidate network systems, the network searching probability value of each network system in the network system information supported by the multimode terminal can be determined through self-learning of the preset database, so that the candidate network systems to be skipped can be determined subsequently.

S602: carrying out statistical analysis on historical resident information in a preset database, and determining a network searching probability value of each candidate network system based on analysis information; wherein the network searching probability value based on the analysis information comprises at least two items as follows: a first network searching probability value based on the statistic information of the total residence time, a second network searching probability value based on the timestamp information of the last residence detection and a third network searching probability value based on the predefined configuration information;

it should be noted that the analysis information here may be total residence time statistical information, or timestamp information detected by last residence, or predefined configuration information, and the like, and the embodiment of the present application is not limited in particular.

It should be further noted that the network searching probability value based on the analysis information in each candidate network system may include three network searching probability values, such as a first network searching probability value, a second network searching probability value, and a third network searching probability value; or only two network searching probability values, such as a first network searching probability value and a second network searching probability value, or a first network searching probability value and a third network searching probability value, or a second network searching probability value and a third network searching probability value, may be included. In addition, the network searching probability value based on the analysis information in each candidate network system may further include more network searching probability values, that is, the embodiment of the present application is not limited to the first network searching probability value, the second network searching probability value, and the third network searching probability value, and is not limited herein.

Here, the first network searching probability value, the second network searching probability value and the third network searching probability value can be in a value range between 0 and 1. In practical applications, the first network searching probability value, the second network searching probability value and the third network searching probability value are specifically set according to historical experience conditions, and embodiments of the present application are not specifically limited.

It should be understood that the first network search probability value, the second network search probability value, and even the third network search probability value are obtained according to a statistical analysis of the historical residence information in the preset database, and the determination manners thereof will be described below.

In some embodiments, for S602, the performing a statistical analysis on the historical residence information in the preset database to determine a network searching probability value of each candidate network type based on the analysis information may include:

carrying out statistical analysis on the historical residence information in the preset database to obtain a statistical value of the total residence time under each candidate network standard;

and determining a first network searching probability value corresponding to each candidate network system according to the statistic value of the total residence time under each candidate network system.

Further, the determining a first network searching probability value corresponding to each candidate network type according to the statistical value of the total residence time under each candidate network type may include:

determining at least two preset ranges based on at least one threshold value; wherein, different preset ranges correspond to different first network searching probability values;

determining a preset range corresponding to each candidate network system according to the statistic value of the total residence time under each candidate network system;

and obtaining a first network searching probability value corresponding to each candidate network system according to the determined preset range.

It should be noted that the same preset range corresponds to the same first network search probability value, and different preset ranges correspond to different first network search probability values.

It should be further noted that the first candidate network standard and the second candidate network standard are any two candidate network standards in the multiple candidate network standards; wherein the content of the first and second substances,

if the statistic of the total residence time under the first candidate network system is larger than the statistic of the total residence time under the second candidate network system, and the first candidate network system and the second candidate network system correspond to different preset ranges, the first network searching probability value corresponding to the first candidate network system is larger than the first network searching probability value corresponding to the second candidate network system.

Here, the statistical value of the total residence time may be a percentage value (i.e., a ratio between the total residence time in each candidate network system and the total residence time in all candidate network systems) or a non-percentage value (i.e., the total residence time in each candidate network system) for each candidate network system. If the statistical value of the total residence time is in the form of a percentage value, the at least one threshold value is set correspondingly in the form of a percentage value; if the statistical value of the total residence time is in the form of a non-percentage value, the at least one threshold value is set in the form of a non-percentage value. In the embodiment of the present application, the statistics of the total residence time and the at least one threshold value will be specifically described by taking the form of percentage values as an example.

It should be noted that the first network searching probability value can be represented by R _ Duration, and its determination is related to the statistical condition of the total residence time in the preset time period. Taking 18 months as an example of a preset time period, calculating a statistic of total residence time of each candidate network system within 18 months from the perspective of a wireless access technology, and then determining a first network searching probability value corresponding to each candidate network system according to the statistic of the total residence time of each candidate network system.

Illustratively, the at least one threshold comprises only the first threshold. At this time, assuming that the first threshold is 2%, if a statistic of the total residence time under a certain candidate network type is < =2%, if the first network search probability value at this time can be set to 1/2, the first network search probability value corresponding to the candidate network type can be 1/2; otherwise, if the statistical value of the total residence time under a certain candidate network system is greater than 2%, if the first network searching probability value at this time can be set to 1, the first network searching probability value corresponding to the candidate network system can be set to 1. Specifically, as shown in table 1, it shows an example of a mapping relationship between the total residence time statistic and the R _ Duration in the NR/LTE/UMTS/GSM candidate network system.

TABLE 1

	GSM	UMTS	LTE	NR
					Statistics of total residence time (percentage)	1％	8％	76％	15％
R_Duration	1/2	1	1	1

Illustratively, the at least one threshold may further include a first threshold and a second threshold. At this time, it is assumed that the first threshold is 2% and the second threshold is 10%; if the statistic value of the total residence time under a certain candidate network system is < =2%, if the first network searching probability value at the time can be set to 1/4, the first network searching probability value corresponding to the candidate network system can be 1/4; otherwise, if the statistic value of the total residence time under a certain candidate network system is < =10%, if the first network searching probability value at this time can be set to 1/2, the first network searching probability value corresponding to the candidate network system can be 1/2; otherwise, if the statistical value of the total residence time under a certain candidate network system is greater than 10%, if the first network searching probability value at this time can be set to 1, the first network searching probability value corresponding to the candidate network system can be set to 1. Specifically, as shown in table 2, it shows an example of mapping relationship between the total residence time statistics and the R _ Duration in the NR/LTE/UMTS/GSM candidate network system.

TABLE 2

	GSM	UMTS	LTE	NR
					Statistics of total residence time (percentage)	1％	8％	76％	15％
R_Duration	1/4	1/2	1	1

performing statistical analysis on historical residence information in the preset database, and determining timestamp information of last residence detection under each candidate network type;

and determining a second network searching probability value corresponding to each candidate network system according to the timestamp information of the last resident detection of each candidate network system.

Further, the determining a second network searching probability value corresponding to each candidate network type according to the timestamp information of the last residence detection in each candidate network type may include:

determining at least two preset residence time periods based on at least one threshold; different preset residence time periods correspond to different second network searching probability values;

determining a preset residence time period corresponding to each candidate network type according to timestamp information of last residence detection of each candidate network type;

and obtaining a second network searching probability value corresponding to each candidate network type according to the determined preset residence time period.

It should be noted that the same preset residence time period corresponds to the same second network search probability value, and different preset residence time periods correspond to different second network search probability values.

It should be further noted that the first candidate network standard and the second candidate network standard are any two candidate network standards in the multiple candidate network standards; wherein, the first and the second end of the pipe are connected with each other,

and if the timestamp information of the last resident detection under the first candidate network system is less than the timestamp information of the last resident detection under the second candidate network system, and the first candidate network system and the second candidate network system correspond to different preset resident time periods, a second network searching probability value corresponding to the first candidate network system is greater than a second network searching probability value corresponding to the second candidate network system.

In the embodiment of the present application, the timestamp information of the last time of residence detection is referred to as "timestamp information of last residence detection". Here, the second search probability value is represented by R _ LastCD, whose determination is related to the timestamp information of the last dwell detection. And determining a second network searching probability value corresponding to each candidate network system by judging whether the latest resident/detected timestamp information under each candidate network system is in a preset time period from the perspective of the wireless access technology.

Illustratively, the at least one threshold may comprise a first threshold and a second threshold. At this time, it is assumed that the first threshold is 3 months and the second threshold is 12 months; then, the first preset residence time period is within the last 3 months, the second preset residence time period is within the last 3-12 months, and the third preset residence time period is beyond 12 months; at this time, if a certain candidate network type is resided/detected within the last 3 months (i.e., within a first preset residence time period), that is, timestamp information detected by the last residence falls within the last 3 months, if the second network search probability value at this time can be set to 1, the second network search probability value corresponding to the candidate network type can be 1; otherwise, if a certain candidate network system is not resident/detected in the last 3 months but is resident/detected in the last 3-12 months (i.e., in a second preset resident time period), that is, the timestamp information of the last resident detection falls into the last 3-12 months, if the second network searching probability value at this time can be set to 1/2, the second network searching probability value corresponding to the candidate network system can be 1/2; otherwise, if a certain candidate network type is resided/detected within 12 months (i.e., within a third preset residence time period), that is, the candidate network type is not resided/detected within the last 12 months, if the second network searching probability value at this time can be set to 1/4, the second network searching probability value corresponding to the candidate network type can be set to 1/4. Specifically, as shown in table 3, it shows an example of mapping relationship between the last resident/detected timestamp and R _ LastCD in the NR/LTE/UMTS/GSM candidate network system.

TABLE 3

carrying out statistical analysis on historical resident information in the preset database to obtain a predefined configuration value under each candidate network type;

and correspondingly determining the predefined configuration value under each candidate network system as a third network searching probability value corresponding to each candidate network system.

Here, the third search probability value is represented by R _ Predefine, and its determination is related to predefined configuration information (such as configuration information of a user). The historical resident information in the preset database is subjected to statistical analysis, and then the predefined configuration value under each candidate network system is set by self. It should also be noted that the predefined configuration value is in a range between 0 and 1. In practical applications, the predefined configuration value may be set at a baseband development side, or may be set by a user at a multimode terminal side, which is not specifically limited in the embodiments of the present application.

For example, for a GSM candidate network standard, the predefined configuration value may be set to 1/2; for the UMTS candidate network system, the predefined configuration value may be set to 1; for the LTE candidate network system, the predefined configuration value may be set to 1; for the NR candidate network type, the predefined configuration value may be set to 1, and the predefined configuration value is the third network searching probability value. Specifically, as shown in table 4, an example of predefined configuration values (i.e., R _ Predefine) in each candidate network system such as NR/LTE/UMTS/GSM is shown.

TABLE 4

Thus, after parameter values such as R _ Duration, R _ LastCD, and R _ Predefine in each candidate network system are determined, a network searching probability value of each candidate network system can be determined according to the parameter values.

S603: for each candidate network type, selecting a minimum value from at least two items included in the network searching probability value based on the analysis information, and correspondingly determining the selected minimum value as the network searching probability value of each candidate network type;

it should be noted that, for each candidate network type, a minimum value may be selected from at least two items, such as the first network search probability value (R _ Duration), the second network search probability value (R _ LastCD), and/or the third network search probability value (R _ Predefine); and then correspondingly determining the minimum value under each candidate network system as the network searching probability value of each candidate network system.

From the perspective of the radio access technology, for the case that only two items are included, taking the case that each candidate network system includes the first network searching probability value and the second network searching probability value as an example, the network searching probability values are determined as follows,

N＝min(R_Duration,R_LastCD) (1)

or, taking the example that each candidate network system includes the first network searching probability value and the third network searching probability value, the network searching probability values are determined as follows,

N＝min(R_Duration,R_Predefine) (2)

or, taking the example that each candidate network system includes the second network searching probability value and the third network searching probability value, the network searching probability values are determined as follows,

N＝min(R_LastCD,R_Predefine) (3)

in most cases, the determination method corresponding to the formula (1) is adopted among the three determination methods; compared with the determination method adopting the formula (2) or the formula (3), the technical effects of reducing power consumption and shortening network searching time can be better realized by adopting the formula (1).

From the perspective of radio access technology, for the case including three items, taking the case that each candidate network system includes the first network search probability value, the second network search probability value and the third network search probability value as an example, the determination of the network search probability values is as follows,

N＝min(R_Duration,R_LastCD,R_Predefine) (4)

wherein, N represents an overall network searching probability value under the candidate network system, that is, the network searching probability value corresponding to the candidate network system in the foregoing embodiment. Here, expressions (1) to (4) indicate that the minimum value is selected from at least two items of R _ Duration, R _ LastCD, and R _ Predefine, and is determined as the network searching probability value corresponding to the candidate network type. It should be noted that, among the four determination manners, the technical effect achieved by using equation (4) is the best, which not only can reduce power consumption, but also can shorten the network search time, thereby reducing the network search delay.

Exemplarily, taking three parameter values as an example, as shown in fig. 7, it shows a flowchart of determining a network searching probability value provided by the embodiment of the present application. In fig. 7, three inputs and one output are included, wherein the three inputs may include: total residence time statistical information 701, timestamp information 702 of the last residence detection, and predefined configuration information 703; one output is a network searching probability value of the candidate network system, i.e. a network searching probability value 704 of the radio access technology/frequency band. That is, the network search probability value of the radio access technology/frequency band can be output according to the three inputs.

With reference to tables 1, 3 and 4, the following network search probability value results can be obtained, and the network search operation modes reflected by these network search probability value results are shown in fig. 5; wherein the content of the first and second substances,

for the GSM candidate network standard, N _ GSM = min (1/2, 1/4, 1/2) =1/4, which indicates that in every four search cycles, only the fourth search cycle has GSM network search;

for the UMTS candidate network type, N _ UMTS = min (1, 1/2, 1) =1/2, indicating that there is a network search of UMTS in only the second search period every two search periods;

for the LTE candidate network system, N _ LTE = min (1, 1) =1, which indicates that there is a network search of LTE in each search period;

for the NR candidate network standard, N _ NR = min (1, 1) =1, indicating that there will be a network search for NR in each search period.

Furthermore, for a certain radio access technology, from the frequency band perspective, the same calculation rule can be used to determine the parameter values corresponding to each frequency band, which are respectively represented by R _ Duration ', R _ LastCD ' and R _ Predefine ', and the network searching probability values are determined as follows,

N_Band_x＝min(R_Duration’,R_LastCD’,R_Predefine’) (5)

illustratively, the results of the network searching probability values can be obtained as follows, and the network searching operation modes reflected by the results of the network searching probability values are still as shown in fig. 5; wherein, the first and the second end of the pipe are connected with each other,

for the candidate network system of the a frequency Band, N _ Band _ a =1, which indicates that network search of the a frequency Band exists in each search period;

for the b-Band candidate network standard, N _ Band _ b =1/2, which indicates that network search of the b-Band exists in only the second search period in every two search periods;

for the candidate network system of the x frequency Band, N _ Band _ x =1 indicates that network search of the x frequency Band exists in each search period;

for the candidate network system of the y Band, N _ Band _ y =1/2, which indicates that network search of the y Band exists in only the second search period in every two search periods.

In addition, the first network searching probability value, the second network searching probability value or the third network searching probability value can be determined to be the network searching probability value of each candidate network system directly. In some embodiments, the method may further comprise:

when the network searching probability value based on the analysis information only comprises one item, correspondingly determining the network searching probability value of the item under each candidate network system as the network searching probability value of each candidate network system;

wherein the network searching probability value based on the analysis information comprises one of the following items: a first network searching probability value based on the statistic information of the total residence time, a second network searching probability value based on the timestamp information of the last residence detection and a third network searching probability value based on the predefined configuration information.

It should be noted that, when only one item (for example, the first network searching probability value) is included, the first network searching probability value under each candidate network system may also be correspondingly determined as the network searching probability value of each candidate network system; or, when only one item (for example, the second network searching probability value) is included, the second network searching probability value under each candidate network system may be correspondingly determined as the network searching probability value of each candidate network system; alternatively, when only one item (for example, the third network searching probability value) is included, the third network searching probability value in each candidate network system may be correspondingly determined as the network searching probability value in each candidate network system.

It should be noted that, in the case of only including one item, since only the analysis information of one item is considered, the network searching probability value obtained at this time may have a deviation, and the effect in shortening the network searching time is not obvious. In order to better shorten the network search time and achieve the purpose of obtaining services quickly, the embodiments of the present application generally adopt at least two cases, even three or more cases, to maximally shorten the network search time, reduce power consumption caused by network search, and achieve the purpose of obtaining services quickly.

S604: determining a list of network systems to be searched corresponding to each search period according to the network searching probability value of each candidate network system;

s605: and in each search period, network search is carried out according to the determined network system list to be searched.

Here, the list of network schemes to be searched includes one or more network schemes. That is to say, after the network searching probability value of each candidate network system is obtained, the to-be-searched network system list corresponding to each search period may be determined, and all the candidate network systems are not included in the to-be-searched network system list.

Assuming that the first candidate network system is any one of the multiple candidate network systems, if the network searching probability value of the first candidate network system is less than 1, the first candidate network system is not included in the list of the network systems to be searched corresponding to part of the search period. Specifically, in some embodiments, for S605, the determining, according to the network searching probability value of each candidate network system, a to-be-searched network system list corresponding to each search period may include:

if the network searching probability value of the first candidate network system is smaller than 1, determining that a network system list to be searched corresponding to part of the search period does not include the first candidate network system; wherein the first candidate network standard is any one of the multiple candidate network standards;

correspondingly, for S605, performing network search according to the determined list of network systems to be searched in each search period may include:

and aiming at the part of the search period, using a list of the network modes to be searched, which does not comprise the first candidate network mode, to execute network search.

It should be noted that, for a GSM candidate network system, if N _ GSM =1/4, the network searching probability value of the candidate network system is less than 1, and at this time, in every four search periods, the first three search periods do not execute the network searching operation of GSM; for a UMTS candidate network system, if N _ UMTS =1/2, the network searching probability value of the candidate network system is also smaller than 1, and at this time, in every two search periods, the previous search period does not perform the network searching operation of UMTS. In other words, for the candidate network patterns with lower network searching probability values, since the probability of obtaining service is lower, these candidate network patterns with low probability can be skipped during the partial searching period at this time.

Further, in some embodiments, after determining the list of network formats to be searched corresponding to each search period, the method may further include:

prioritizing network systems included in the network system list to be searched based on a preset priority strategy to obtain a network system priority list to be searched;

correspondingly, for S605, performing network search according to the determined list of network formats to be searched in each search period may include:

and in each search period, selecting the network system to be searched according to the sequence of the priority from high to low in the priority list of the network system to be searched, and executing the network search operation.

That is to say, after determining the list of network systems to be searched corresponding to each search period, the network systems included in the list of network systems to be searched may also be prioritized according to a preset priority policy, for example, the network systems to be searched are prioritized in order of priority such as NR- > LTE- > UMTS- > GSM, so as to obtain a list of network system priorities to be searched; in this way, in each search period, the network system to be searched is selected and the network search operation is executed according to the sequence of the priorities from high to low in the priority list of the network system to be searched.

In addition, the preset priority strategy can also be combined with the determined network searching probability value, and under the condition that the network searching probability values are different, the network systems included in the network system list to be searched are subjected to priority arrangement according to the size of the network searching probability value; but under the condition that the network searching probability values are the same, sorting according to the priority sequence of NR- > LTE- > UMTS- > GSM and the like to obtain a network system priority list to be searched; therefore, in each search period, the network system to be searched is selected and the network searching operation is executed according to the priority from high to low in the priority list of the network system to be searched, so that the network system to be searched with high possibility of hopefully obtaining the service can be searched preferentially, and the purpose of quickly obtaining the service can be achieved.

Further, in some embodiments, for S605, after performing the network search according to the determined list of the network systems to be searched, the method further includes:

and if the cell which can be resided is searched, performing residence.

That is, in the network searching process, after a certain radio access technology succeeds in network searching, the frequency band where the network searching under the radio access technology succeeds is further determined; and then judging whether a cell which can be resided can be searched in the frequency band, and when the cell which can be resided can be searched, performing cell residence and ending the operation of network search.

It can be understood that the embodiments of the present application may be used to detect a more desirable/preferred radio access technology and frequency band in the network searching stage by providing network searching probability values (also referred to as weight values) for the radio access technologies and frequency bands in multiple modes. Here, the search probability value/weight value is self-learned based on the user usage and historical resident statistical data for a certain period of time (e.g., x months). For the radio access technologies and frequency bands with low probability (namely, low network searching probability value), the embodiments of the present application can reduce power consumption by skipping the radio access technologies and frequency bands with low probability; for high probability (i.e. high network searching probability value) radio access technologies and frequency bands, the embodiments of the present application can quickly obtain service by providing a higher percentage of searches on these high probability radio access technologies and frequency bands. Based on empirical data, the time consumption of conventional frequency bin search results is roughly as follows: GSM is about 10-20 seconds, UMTS is about 10-20 seconds, LTE is about 5 seconds, and NR is less than or equal to about 5 seconds. Exemplarily, GSM and UMTS are used as low-possibility wireless access technologies, and by using the technical scheme of the application, the power consumption can be saved by up to 80%; also GSM and UMTS are searching for services available in LTE/NR, which can bring about a benefit of about 20-40 seconds.

That is, the network search performance is one of the most important key indexes of the multimode terminal, and for the multimode terminal, the multimode terminal can be enabled to have better network search and selection performance and lower power consumption. In addition, the technical scheme of the application can be applied to a multi-mode terminal and is also applicable to chips, and particularly any manufacturer of a modulation and demodulation chipset can apply the technical scheme of the application to construct a big data concept in the chipset and analyze data so as to obtain a more promising (namely high-possibility) wireless access technology and frequency band, thereby realizing better network search performance.

The embodiment provides a network searching method, and the specific implementation of the foregoing embodiment is elaborated through the foregoing embodiment, and it can be seen that, through the technical solution of the foregoing embodiment, a network searching probability value of each candidate network type is determined according to historical residence information of a multimode terminal, and then, an operation of network searching is performed according to the determined network searching probability value, and a radio access technology and/or a frequency band with low probability (i.e., a low network searching probability value) can be skipped, so that not only can power consumption caused by network searching be reduced, but also network searching time can be shortened, and a purpose of rapidly obtaining a service is achieved.

Based on the same inventive concept of the foregoing embodiment, refer to fig. 8, which shows a schematic structural diagram of a network searching apparatus provided in an embodiment of the present application. As shown in fig. 8, the network search apparatus 80 is applied to a multimode terminal, and the network search apparatus 80 may include: an acquisition unit 801, a determination unit 802, and a search unit 803; wherein, the first and the second end of the pipe are connected with each other,

an obtaining unit 801 configured to obtain network system information supported by a multimode terminal; the network system information comprises a plurality of candidate network systems corresponding to frequency bands supported by a wireless access technology and/or the wireless access technology;

a determining unit 802, configured to determine a network searching probability value of each candidate network standard in the network standard information;

the determining unit 803 is further configured to determine a list of network systems to be searched corresponding to each search period according to the network searching probability value of each candidate network system;

the searching unit 803 is configured to perform network search according to the determined list of the network systems to be searched in each search period.

In some embodiments, referring to fig. 9, the network search apparatus 80 may further include a building unit 804 and a learning unit 805; wherein the content of the first and second substances,

an establishing unit 804 configured to establish a preset database; the preset database comprises historical residence information of the multimode terminal;

the learning unit 805 is configured to self-learn the preset database, and obtain a network searching probability value of each candidate network system in the network system information.

In some embodiments, referring to fig. 9, the network searching apparatus 80 may further include a statistics unit 806 and a selection unit 807; wherein the content of the first and second substances,

a statistical unit 806, configured to perform statistical analysis on the historical residence information in the preset database, and determine a network searching probability value of each candidate network type based on the analysis information; wherein the web searching probability value based on the analysis information comprises at least two items as follows: a first network searching probability value based on the statistic information of the total residence time, a second network searching probability value based on the timestamp information of the last residence detection and a third network searching probability value based on the predefined configuration information;

the selecting unit 807 is configured to select a minimum value from at least two items included in the network searching probability value based on the analysis information for each candidate network system, and correspondingly determine the selected minimum value as the network searching probability value of each candidate network system.

In some embodiments, the statistical unit 806 is specifically configured to perform statistical analysis on the historical residence information in the preset database to obtain a statistical value of the total residence time in each candidate network system;

the obtaining unit 801 is further configured to determine a first network searching probability value corresponding to each candidate network system according to the statistical value of the total residence time in each candidate network system.

In some embodiments, the determining unit 803 is further configured to determine at least two preset ranges based on at least one threshold; wherein, different preset ranges correspond to different first network searching probability values; determining a preset range corresponding to each candidate network type according to the statistic value of the total residence time under each candidate network type;

the obtaining unit 801 is further configured to obtain a first network searching probability value corresponding to each candidate network type according to the determined preset range.

In some embodiments, the statistical unit 806 is specifically configured to perform statistical analysis on the historical residence information in the preset database, and determine timestamp information of last residence detection for each candidate network type;

the obtaining unit 801 is further configured to determine a second network searching probability value corresponding to each candidate network system according to the timestamp information of the last residence detection in each candidate network system.

In some embodiments, the determining unit 803 is further configured to determine at least two preset dwell periods based on at least one threshold; different preset residence time periods correspond to different second network searching probability values; determining a preset residence time period corresponding to each candidate network system according to the timestamp information of the last residence detection of each candidate network system;

the obtaining unit 801 is further configured to obtain a second network searching probability value corresponding to each candidate network type according to the determined falling preset residence time period.

In some embodiments, the statistical unit 806 is specifically configured to perform statistical analysis on the historical residence information in the preset database to obtain a predefined configuration value under each candidate network type;

the obtaining unit 801 is further configured to correspondingly determine the predefined configuration value in each candidate network format as a third network searching probability value corresponding to each candidate network format.

In some embodiments, the determining unit 803 is further configured to, when the network searching probability value based on the analysis information only includes one of the following items, correspondingly determine the network searching probability value of the one item in each candidate network system as the network searching probability value of each candidate network system; wherein the network searching probability value based on the analysis information comprises one of the following items: a first network searching probability value based on the statistic information of the total residence time, a second network searching probability value based on the timestamp information of the last residence detection and a third network searching probability value based on the predefined configuration information.

In some embodiments, the determining unit 802 is further configured to determine that the to-be-searched network format list corresponding to a part of the search period does not include the first candidate network format if the network searching probability value of the first candidate network format is smaller than 1; wherein the first candidate network standard is any one of the multiple candidate network standards;

the searching unit 803 is further configured to perform, for the partial search period, an operation of performing network search using a list of network formats to be searched that does not include the first candidate network format.

In some embodiments, referring to fig. 9, the network searching apparatus 80 may further include a sorting unit 808 configured to perform priority arrangement on the network systems included in the list of the network systems to be searched based on a preset priority policy, so as to obtain a priority list of the network systems to be searched;

the searching unit 803 is further configured to, in each search period, select the network system to be searched according to the order of the priorities from high to low in the priority list of the network systems to be searched, and perform a network search operation.

It is understood that in this embodiment, a "unit" may be a part of a circuit, a part of a processor, a part of a program or software, etc., and may also be a module, or may also be non-modular. Moreover, each component in this embodiment may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware or a form of a software functional module.

Based on the understanding that the technical solution of the present embodiment essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, and include several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to execute all or part of the steps of the method of the present embodiment. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, an optical disk, or other various media capable of storing program codes.

Accordingly, the present embodiments provide a computer storage medium storing a web search program that when executed by at least one processor implements the steps of the method of any of the preceding embodiments.

In a further embodiment of the present application, based on the composition of the network searching apparatus 80 and the computer storage medium, referring to fig. 10, a specific hardware structure diagram of the multimode terminal 100 provided in an embodiment of the present application is shown. As shown in fig. 10, the multimode terminal 100 may comprise a processor 1001, and the processor 1001 may call and run a computer program from a memory to implement the method according to any one of the foregoing embodiments.

Optionally, as shown in fig. 10, the multimode terminal 100 may further include a memory 1002. From the memory 1002, the processor 1001 may call and run a computer program to implement the method of any of the foregoing embodiments.

The memory 1002 may be a separate device from the processor 1001, or may be integrated into the processor 1001.

Optionally, as shown in fig. 10, the multimode terminal 100 may further include a transceiver 1003, and the processor 1001 may control the transceiver 1003 to communicate with other devices, and specifically, may transmit information or data to the other devices or receive information or data transmitted by the other devices.

The transceiver 1003 may include a transmitter and a receiver, among others. The transceiver 1003 may further include one or more antennas, and the number of the antennas may be one or more.

Optionally, the multimode terminal 100 may specifically be the multimode terminal described in the foregoing embodiment, or an apparatus integrated with the network search device 80 described in any one of the foregoing embodiments. Here, the multimode terminal 100 may implement the corresponding flow implemented by the multimode terminal in each method of the embodiment of the present application, and for brevity, details are not described here again.

In yet another embodiment of the present application, based on the composition of the network searching apparatus 80 and the computer storage medium, referring to fig. 11, a specific hardware structure diagram of the chip 110 provided in the embodiment of the present application is shown. As shown in fig. 11, the chip 110 may include a processor 1101, and the processor 1101 may call and execute a computer program from a memory to implement the method described in any one of the foregoing embodiments.

Optionally, as shown in fig. 11, the chip 110 may further include a memory 1102. From the memory 1102, the processor 1101 may call and run a computer program to implement the method of any one of the previous embodiments.

The memory 1102 may be a separate device from the processor 1101 or may be integrated into the processor 1101.

Optionally, the chip 110 may further include an input interface 1103. The processor 1101 may control the input interface 1103 to communicate with other devices or chips, and specifically, may obtain information or data sent by the other devices or chips.

Optionally, the chip 110 may further include an output interface 1104. The processor 1101 may control the output interface 1104 to communicate with other devices or chips, and in particular, may output information or data to other devices or chips.

Optionally, the chip 110 may be applied to the multi-mode terminal described in the foregoing embodiment, and the chip may implement a corresponding process implemented by the multi-mode terminal in each method in the embodiment of the present application, and for brevity, details are not repeated here.

It should be understood that the chips mentioned in the embodiments of the present application may also be referred to as system-on-chip, system-on-chip or system-on-chip, etc., such as a modem chip or a modem chipset, etc.

It should be noted that the processor of the embodiment of the present application may be an integrated circuit chip having signal processing capability. In implementation, the steps of the above method embodiments may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off the shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software modules may be located in ram, flash, rom, prom, or eprom, registers, etc. as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.

It should also be noted that the memory in the embodiments of the present application may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of example, and not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), synchronous Dynamic Random Access Memory (SDRAM), double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM), enhanced Synchronous SDRAM (ESDRAM), synchronous Link Dynamic Random Access Memory (SLDRAM), and Direct Rambus RAM (DRRAM). It should be noted that the memories of the systems and methods described herein are intended to comprise, without being limited to, these and any other suitable types of memory.

It is to be understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or any combination thereof. For a hardware implementation, the Processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, micro-controllers, microprocessors, other electronic units configured to perform the functions described herein, or a combination thereof. For a software implementation, the techniques described herein may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described herein. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

It should be noted that, in the present application, 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 a component of' 8230; \8230;" does not exclude the presence of another like element in a process, method, article, or apparatus that comprises the element.

The above-mentioned serial numbers of the embodiments of the present application are merely for description, and do not represent the advantages and disadvantages of the embodiments.

The methods disclosed in the several method embodiments provided in the present application may be combined arbitrarily without conflict to arrive at new method embodiments.

Features disclosed in several of the product embodiments provided in the present application may be combined in any combination to yield new product embodiments without conflict.

The features disclosed in the several method or apparatus embodiments provided in the present application may be combined arbitrarily, without conflict, to arrive at new method embodiments or apparatus embodiments.

The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method for searching a network, the method comprising:

acquiring network system information supported by a multi-mode terminal; the network system information comprises a plurality of candidate network systems corresponding to frequency bands supported by a wireless access technology and/or the wireless access technology;

in each search period, network search is carried out according to the determined network system list to be searched;

the determining of the network searching probability value of each candidate network standard in the network standard information includes:

carrying out statistical analysis on historical resident information in the preset database, and determining a network searching probability value of each candidate network system based on analysis information; wherein the web searching probability value based on the analysis information comprises at least two items as follows: a first network searching probability value based on the statistical information of the total residence time, a second network searching probability value based on timestamp information of the last residence detection and a third network searching probability value based on predefined configuration information;

and selecting a minimum value from at least two items included in the network searching probability value based on the analysis information aiming at each candidate network system, and correspondingly determining the selected minimum value as the network searching probability value of each candidate network system.

2. The method as claimed in claim 1, wherein the statistically analyzing the historical residence information in the preset database to determine the network searching probability value of each candidate network type based on the analyzed information comprises:

3. The method as claimed in claim 2, wherein the determining the first network searching probability value corresponding to each candidate network standard according to the statistical value of the total residence time in each candidate network standard comprises:

determining a preset range corresponding to each candidate network type according to the statistic value of the total residence time under each candidate network type;

4. The method as claimed in claim 1, wherein the statistically analyzing the historical residence information in the preset database to determine the network searching probability value of each candidate network system based on the analyzed information comprises:

and determining a second network searching probability value corresponding to each candidate network system according to the timestamp information of the last residence detection of each candidate network system.

5. The method as claimed in claim 4, wherein the determining the second network searching probability value corresponding to each candidate network standard according to the timestamp information of the last residence detection in each candidate network standard includes:

and obtaining a second network searching probability value corresponding to each candidate network system according to the determined preset residence time period.

6. The method as claimed in claim 1, wherein the statistically analyzing the historical residence information in the preset database to determine the network searching probability value of each candidate network system based on the analyzed information comprises:

carrying out statistical analysis on historical resident information in the preset database to obtain a predefined configuration value under each candidate network standard;

7. The method of claim 1, further comprising:

8. The method according to any one of claims 1 to 7, wherein determining a list of network formats to be searched corresponding to each search period according to the network search probability value of each candidate network format comprises:

in each search period, the network search is performed according to the determined list of the network systems to be searched, and the method comprises the following steps:

9. The method according to any one of claims 1 to 7, wherein after said determining the list of network formats to be searched corresponding to each search period, the method further comprises:

in each search period, the network search is performed according to the determined list of the network systems to be searched, and the method includes:

10. The network searching device is applied to a multimode terminal and comprises an acquisition unit, a determination unit and a searching unit; wherein, the first and the second end of the pipe are connected with each other,

the determining unit is further configured to determine a list of network systems to be searched corresponding to each search period according to the network searching probability value of each candidate network system;

the searching unit is configured to search for a network according to the determined network format list to be searched in each searching period;

the network searching device also comprises an establishing unit, a statistical unit and a selecting unit; wherein, the first and the second end of the pipe are connected with each other,

the establishing unit is configured to establish a preset database; the preset database comprises historical residence information of the multimode terminal;

the statistical unit is configured to perform statistical analysis on the historical residence information in the preset database and determine a network searching probability value of each candidate network type based on the analysis information; wherein the web searching probability value based on the analysis information comprises at least two items as follows: a first network searching probability value based on the statistical information of the total residence time, a second network searching probability value based on timestamp information of the last residence detection and a third network searching probability value based on predefined configuration information;

the selecting unit is configured to select a minimum value from at least two items included in the network searching probability value based on the analysis information for each candidate network system, and correspondingly determine the selected minimum value as the network searching probability value of each candidate network system.

11. A multimode terminal, characterized in that the multimode terminal comprises a memory and a processor; wherein, the first and the second end of the pipe are connected with each other,

the memory for storing a computer program operable on the processor;

the processor, when running the computer program, is configured to perform the method of any of claims 1 to 9.

12. A chip, wherein the chip comprises a memory and a processor; wherein the content of the first and second substances,

the memory for storing a computer program operable on the processor;

the processor, when running the computer program, causing a device on which the chip is installed to perform the method of any of claims 1 to 9.

13. A computer storage medium, characterized in that the computer storage medium stores a web search program, which when executed by at least one processor implements the method of any one of claims 1 to 9.