CN117320047B

CN117320047B - Network working parameter processing method and device

Info

Publication number: CN117320047B
Application number: CN202311615164.0A
Authority: CN
Inventors: 郭凤然; 陈凯; 杨思远; 杨亚利; 王亮
Original assignee: Qingdao Future Network Innovation Technology Co ltd; China Academy of Information and Communications Technology CAICT
Current assignee: Qingdao Future Network Innovation Technology Co ltd; China Academy of Information and Communications Technology CAICT
Priority date: 2023-11-29
Filing date: 2023-11-29
Publication date: 2024-02-06
Anticipated expiration: 2043-11-29
Also published as: CN117320047A

Abstract

The application discloses a network working parameter processing method, which is used for a wireless communication system and comprises the following steps: determining first configuration information, wherein the first configuration information is used for indicating a target parameter set; any parameter of the target parameter set belongs to a second parameter set, a third parameter set or a fourth parameter set; the second parameter set comprises network parameters, the third parameter set comprises air interface parameters, and the fourth parameter set comprises acquisition condition parameters; and acquiring network data and/or air interface data of the wireless communication system according to the target parameter set, wherein the data are used for controlling network side equipment to simulate a outfield playback target channel. The application also includes an apparatus for implementing the method. The method and the device solve the problems of manual testing, a large number of testing, repeated testing, low efficiency and high cost in a real network.

Description

Network working parameter processing method and device

Technical Field

The present disclosure relates to the field of wireless communications technologies, and in particular, to a method and an apparatus for processing network operating parameters.

Background

At present, the test of the 5G terminal in the real network operator needs to find a suitable scene to perform the test in the field.

In order to reproduce the commercial networks of multiple operators in a high-precision and fast indoor manner, parameter acquisition, data extraction and modeling are required, and finally, outfield playback is simulated.

For this reason, the existing operator network test has the following problems:

the real network has network configuration difference, and the air interface environment is unstable. Different countries, operators, provinces, cities and counties have network configuration differences, the operators can regularly or irregularly conduct network regulation and network optimization, and parameters and air interface environments of the real network change rapidly.

Data acquisition and channel reconstruction require precision. At present, the operator collects the existing network and has regional difference, and the collection precision is not high.

The operation complexity is high for accurately and stably reproducing the commercial network. At present, the base station has more than 2000 parameters, all the parameters are accurately reproduced, and the operation complexity is too high.

Therefore, a method for data processing is needed to solve the above-mentioned problems of the operation network measurement.

Disclosure of Invention

The application provides a network working parameter processing method and equipment. In order to solve the problems of manual testing, a large number of testing, repeated testing, low efficiency and high cost in a real network, the application provides a comprehensive and accurate technical scheme of a network parameter acquisition, modeling and playback system, and high-precision and quick playback is realized in a laboratory after acquired data are processed.

In a first aspect, a method for processing network operating parameters for a wireless communication system includes the steps of:

determining first configuration information, wherein the first configuration information is used for indicating a target parameter set; the target parameter set is a subset of the first parameter set, and any parameter of the target parameter set belongs to the second parameter set, the third parameter set or the fourth parameter set;

the first parameter set comprises any one of a second parameter set, a third parameter set and a fourth parameter set, wherein the second parameter set comprises network parameters, the third parameter set comprises air interface parameters, and the fourth parameter set comprises acquisition condition parameters;

and acquiring network data and/or air interface data of the wireless communication system according to the target parameter set, wherein the data are used for controlling network side equipment to simulate a outfield playback target channel.

In one embodiment of the present application, the first configuration information includesAnd (5) seed values, wherein a target parameter set corresponding to each value is preset.

In one embodiment of the present application, second configuration information is determined, where the second configuration information is used to identify a standard type corresponding to the target channel, where the standard type is any one of 3GPP, METIS, miWEBA, ITU, COST2100, IEEE 802.11, NYU WIRELESS, IMT-2020, IMT-2030.

In one embodiment of the present application, the target parameter set includes a second parameter set subset, and the second parameter set subset includes any combination of network static parameters, communication characteristic parameters, private parameters, and redundancy parameters.

The network static parameters are the basic parameters of the network configuration. In one embodiment of the present application, the network static parameter includes any of an operator, a country code (MCC), a network code (MNC), a longitude, a latitude, a base station ID, a cell ID, and a subcarrier spacing.

The communication characteristic parameter refers to a characteristic function of a base station in communication. In one embodiment of the present application, the communication characteristic parameter includes any combination of the following: neighbor information, 4/5G interoperability class, NR power class parameters, NR mobility management, discontinuous Reception (DRX) power saving class parameter configuration, NR random access, timer, beam management, physical resource configuration, layer two parameters, paging class.

The private parameter is a parameter with a fixed parameter value.

The redundancy parameters refer to parameters other than the network static parameters, the communication characteristic parameters and the private parameters in the network parameters.

In one embodiment of the present application, the communication characteristic parameters further include at least one enabling parameter, where the enabling parameter is used to determine whether a configuration parameter corresponding to at least one of the communication characteristic parameters is valid.

In one embodiment of the present application, the target parameter set includes a third parameter set subset, where the third parameter set subset includes air interface parameters collected by the drive test software, and the air interface parameters include at least one of received signal strength (RSRP) and received signal quality (SINR) of the terminal.

In one embodiment of the present application, the target parameter set includes a fourth parameter set subset, where the fourth parameter set subset includes at least one of a collection scene, a collection precision, a collection time, a terminal model used for collection, a chip type, and a terminal mobility speed in a data collection process.

In one embodiment of the present application, when generating the target channel, parameters that do not belong to the target parameter set are set to null.

In an embodiment of the present application, the first configuration information includes a first value or a second value, where the first value corresponds to a channel of the first type protocol parameter, the second value corresponds to a channel of the second type protocol parameter, the first value is different from the second value, and the first type protocol is different from the second type protocol.

In an embodiment of the present application, the first configuration information includes a third value or a fourth value, where the third value corresponds to a first quantization precision of channel reconstruction, the fourth value corresponds to a second quantization precision of channel reconstruction, the third value is different from the fourth value, and the first quantization precision is different from the second quantization precision.

In an embodiment of the present application, the first configuration information includes a fifth value or a sixth value, where the fifth value corresponds to a first operational complexity of channel reconstruction, the sixth value corresponds to a second operational complexity of channel reconstruction, the fifth value is different from the sixth value, and the first operational complexity is different from the second operational complexity.

In a second aspect, an embodiment of the present application further proposes a network operation parameter obtaining device, configured to implement a method according to any one of the embodiments of the first aspect of the present application, including:

the first input module is used for receiving configuration information; acquiring network data and/or air interface data of the wireless communication system according to the target parameter set;

the first determining module is used for determining configuration information; determining the target parameter set according to the configuration information;

the first output module is used for sending first indication information to the network side equipment, wherein the first indication information is used for indicating the network side equipment to report network data and/or air interface data according to the target parameter set; and the device is also used for outputting the network data and/or the air interface data.

In a third aspect, an embodiment of the present application further provides a network operating parameter obtaining device, configured to implement a method according to any one of the embodiments of the first aspect of the present application, including:

The second input module is used for responding to the terminal side equipment and acquiring network data and/or air interface data of the wireless communication system according to the target parameter set;

the second determining module is used for determining a target parameter set; determining configuration information according to the target parameter set;

the second output module is used for sending configuration information; sending second indication information to the terminal side equipment, wherein the second indication information is used for indicating the terminal side equipment to collect network data and/or air interface data according to the target parameter set;

in a fourth aspect, an embodiment of the present application further provides a network operating parameter obtaining device, configured to implement a method according to any one of the embodiments of the first aspect of the present application, including:

the third input module is used for receiving configuration information; reading network data and/or air interface data according to the target parameter set;

a third determining module, configured to determine configuration information; determining the target parameter set according to configuration information;

and the third output module is used for simulating external field playback according to the network data and/or the air interface data.

In a fifth aspect, embodiments of the present application further provide a communication device, including: a memory, a processor and a computer program stored on the memory and executable on the processor, which when executed by the processor performs the steps of the method according to any one of the embodiments of the first aspect of the present application.

In a sixth aspect, embodiments of the present application further provide a computer readable medium having a computer program stored thereon, the computer program implementing the steps of the method according to any one of the embodiments of the first aspect of the present application when executed by a processor.

In a seventh aspect, embodiments of the present application further provide a network operation parameter acquiring system, which includes at least 1 network operation parameter acquiring device according to an embodiment of the fourth aspect of the present application, and further includes at least 1 network operation parameter acquiring device according to an embodiment of the second aspect of the present application and/or at least 1 network operation parameter acquiring device according to an embodiment of the third aspect of the present application.

The above-mentioned at least one technical scheme that this application embodiment adopted can reach following beneficial effect:

according to the method, on the basis of real network parameters and air interface acquisition data, wireless communication scenes and service types aiming at indoor and outdoor full scenes are realized, professional and efficient accurate extraction of network parameters and air interface environments is performed, multi-dimensional data modeling processing is performed on the acquired full scene data, and the data are played back in an indoor real base station.

In 5G existing network operators, there are a variety of coverage scenarios, as well as indoor/outdoor deployments and applications. By using the method, parameters are collected, extracted and modeled, external field playback is simulated, network parameters and air interface parameters of an actual operator can be collected, and the collected data can be subjected to data extraction, data analysis, data classification, data modeling and the like, so that external field reproduction can be conveniently carried out in a laboratory.

The parameter acquisition process can be adopted no matter how the network configuration of the actual network is different and the air interface environment is unstable, the actual network configuration, network deployment and air interface environment of the actual network are acquired back, the method can dynamically adapt to the conditions of different countries, operators, provinces, cities and counties, the network configuration difference exists, the operators can regularly or irregularly carry out network regulation network optimization, and the parameters of the actual network and the air interface environment change quickly.

The application provides a network parameter induction and modeling method of a comprehensive system, which is used for analyzing all parameters collected by a real network. In the embodiment of the application, two channel quantization accuracies are proposed, including RSRP quantization accuracy and acquisition accuracy.

In the embodiment of the application, two operation complexity methods are also provided, and one of the two operation complexity methods can be selected to execute according to the number of the acquired and reconstructed resources and the time requirement.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:

fig. 1 is a system schematic diagram of an application scenario of the present application;

FIG. 2 is a flow chart of an embodiment of the method of the present application;

FIG. 3 is a schematic diagram of the composition of parameter sets according to an embodiment of the present application;

fig. 4 is a flowchart of an embodiment of a method for a terminal side device according to the present application;

FIG. 5 is a flow chart of an embodiment of a method of the present application for a drive test apparatus;

FIG. 6 is a flowchart of an embodiment of a method of the present application for a network side simulation device;

FIG. 7 is a schematic diagram of an embodiment of a terminal-side device;

FIG. 8 is a schematic diagram of an embodiment of a drive test apparatus;

FIG. 9 is a schematic diagram of an embodiment of a network side simulation device;

fig. 10 is a schematic structural diagram of a network side device according to another embodiment of the present invention;

fig. 11 is a block diagram of a terminal-side device according to another embodiment of the present invention.

Detailed Description

For the purposes, technical solutions and advantages of the present application, the technical solutions of the present application will be clearly and completely described below with reference to specific embodiments of the present application and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.

The following describes in detail the technical solutions provided by the embodiments of the present application with reference to the accompanying drawings.

Fig. 1 is a system schematic diagram of an application scenario of the present application. A wireless communication network composed of terminal-side devices (e.g., UE), network-side devices (base station and core network device). The figure includes a network side device 900-1, an analog network side device 900-2, a general terminal side device 500 and a terminal side device 800 serving as a drive test device, and a storage apparatus 100.

Fig. 2 is a flow chart of an embodiment of the method of the present application. In a first aspect, a method for processing network operating parameters according to an embodiment of the present application is used in a wireless communication system, and includes the following steps 110 to 130:

step 110, determining first configuration information, where the first configuration information is used to indicate a target parameter set.

Preferably, the first configuration information includesAnd (5) seed values, wherein a target parameter set corresponding to each value is preset.

In an embodiment of the present application, the first configuration information includes a first value or a second value, where the first value corresponds to a channel of the first type protocol parameter, the second value corresponds to a channel of the second type protocol parameter, the first value is different from the second value, and the first type protocol is different from the second type protocol. For example, in the preferred embodiment of the present application, there are two types of standard protocols defining the target channel correspondence, the first type of protocol is 3GPP and the second type of protocol is COST2100. In another embodiment of the present application, further comprising: and determining second configuration information, wherein the second configuration information is used for identifying a standard type corresponding to the target channel, and the standard type is any one of 3GPP, METIS, miWEBA, ITU, COST2100, IEEE 802.11, NYU WIRELESS, IMT-2020 and IMT-2030.

In an embodiment of the present application, the first configuration information includes a third value or a fourth value, where the third value corresponds to a first quantization precision of channel reconstruction, the fourth value corresponds to a second quantization precision of channel reconstruction, the third value is different from the fourth value, and the first quantization precision is different from the second quantization precision. For example, the first quantization precision requirement is high, the second quantization precision requirement is low, the RSRP quantization precision requirement in the target parameter set corresponding to the third value is XdB, the RSRP quantization precision requirement in the target parameter set corresponding to the fourth value is YdB, X < Y, and the configuration information enables the reconstructed channel of the collector to meet the precision requirement. For example, the configuration information indicates that the first quantization accuracy acquisition accuracy is X meters, the RSRP quantization accuracy is X 'dB, the second quantization accuracy is Y meters, and the RSRP quantization accuracy is X' dB, X < Y, X '< Y'.

An operator, country code (MCC), network code (MNC), longitude, latitude, base station ID, cell ID, subcarrier interval in network static parameters of the second parameter set corresponding to the first quantization precision are defined, and communication characteristic parameters of the second parameter set comprise neighbor information, 4/5G interoperation type, NR power type parameter, NR mobility management, discontinuous Reception (DRX) power saving type parameter configuration, NR random access, timer, beam management, physical resource configuration, layer two parameter, paging type, and air interface parameter of the third parameter set comprise RSRP and SINR, and acquisition scene, acquisition precision, acquisition time, terminal model used for acquisition and chip type of the fourth parameter set, wherein the acquisition precision is 5 meters, and the RSRP quantization precision is 3dB.

And defining an operator, a country code (MCC), a network code (MNC), a longitude, a latitude, a base station ID, a cell ID and a subcarrier interval in network static parameters of a second parameter set corresponding to the second quantization precision, and communication characteristic parameters of the second parameter set, including neighbor information, a 4/5G interoperation type, an NR power type parameter, an NR mobility management, a Discontinuous Reception (DRX) power saving type parameter configuration, an NR random access, a timer, a beam management, a physical resource configuration, a layer two parameter, a paging type and air interface parameters of a third parameter set, including RSRP and SINR, and acquisition scene, acquisition precision, acquisition time, terminal model used for acquisition and chip type of a fourth parameter set, wherein the acquisition precision is 10 meters, and the RSRP quantization precision is 5dB.

In an embodiment of the present application, the first configuration information includes a fifth value or a sixth value, where the fifth value corresponds to a first operational complexity of channel reconstruction, the sixth value corresponds to a second operational complexity of channel reconstruction, the fifth value is different from the sixth value, and the first operational complexity is different from the second operational complexity. For example, the first operation complexity is high and the second operation complexity is low. The fifth value corresponds to the target parameter set, for example, the target parameter set is shown in tables 2-14, the sixth value corresponds to the target parameter set is shown in table 1, at least a part of the parameters in tables 2-14 are not included, and the operation amount of the collector meets the requirement through configuration information.

If the fifth value definition target parameter set includes a plurality of parameters 'XXX', the target parameter set corresponding to the sixth value does not include the plurality of parameters, through the configuration information, the high operand can restore 90% of the outfield configuration, the low operand can restore 80% of the outfield configuration, and the time and the operation resource can be saved by 70%.

The definition target parameters comprise the private parameters and the redundant parameters in the second parameter set, the total number of the base station parameters exceeds 2000, and the private parameters and the redundant parameters exceed 1400 through analysis. The target parameter set with high operation quantity has 2000 parameters, and can accurately restore more than 90% of the external field;

defining that the target parameters do not contain private parameters and redundant parameters in the second parameter set are low operand; through analysis, the redundancy parameters are configuration parameters of the base station, but are not strongly related parameters, and the influence on the characteristics is not great by changing the parameters. Therefore, the parameter set with low operation amount has 600 parameters, can restore more than 80% of the external field, and can save 70% of time and operation resources.

The method combines a laboratory simulation network, adopts a low-operand parameter set, and constructs the most accurate cellular mobile network combined with a real network environment and a wireless channel environment in the laboratory through simulating network side equipment 900-2 as shown in figure 1.

Step 120, determining a target parameter set according to the first configuration information; the target parameter set is a subset of the first parameter set, and any parameter of the target parameter set belongs to the second parameter set, the third parameter set or the fourth parameter set;

the first parameter set comprises any of a second parameter set, a third parameter set and a fourth parameter set, wherein the second parameter set comprises network parameters, the third parameter set comprises air interface parameters, and the fourth parameter set comprises acquisition condition parameters.

The first set of parameters may be a set of parameters for a 3GPP, METIS, miWEBA, ITU, COST2100, IEEE 802.11, NYU WIRELESS, IMT-2020, IMT-2030 series communication protocol.

In one embodiment of the present application, a low-operand preset target parameter set is shown in table 1, and does not contain a private parameter and a redundant parameter:

TABLE 1,

And 130, acquiring network data and/or air interface data of the wireless communication system according to the target parameter set, wherein the data are used for controlling network side equipment to simulate a outfield playback target channel. And in the target parameter set, network data corresponding to the second parameter set subset and air interface data corresponding to the third parameter set subset correspond to data of acquisition process parameters of the fourth parameter set subset.

The complete data model comprises a collection terminal, collection precision and a collection chip which use a fourth parameter set, collection time and collection scene as indexes, and parameter names and parameter values of a second parameter set and a third parameter set which are collected.

The data of the acquisition process parameters may be used as an index to air interface data and/or network data. For example:

and taking the acquisition time as an index, and obtaining the real network parameter configuration and air interface parameter configuration conditions of the specific time.

And taking the acquired scene as an index, and obtaining the real network parameter configuration and the air interface parameter configuration of the specific scene.

And taking the acquisition terminal as an index, and obtaining the real network parameter configuration and the air interface parameter configuration of the specific acquisition terminal.

The acquisition chip is used as an index, and the real network parameter configuration and the air interface parameter configuration of the specific acquisition chip can be obtained.

Based on the collected drive test parameters, firstly, data collected by the mobile terminal equipment are subjected to data analysis, classification and classification, corresponding parameter names and parameter values are further extracted from the collected parameters, and modeling processing is carried out on the parameter names and the parameter values.

In the application, by analyzing different communication protocols, the general class of the communication functions is generalized, meanwhile, the parameter names in the communication protocols are classified, the communication functions and the parameter names are matched one by one, and a first parameter set, a second parameter set, a third parameter set and a fourth parameter set are defined, as shown in fig. 3.

In step 130, when the present application performs data extraction based on the collected data, the parameter name and the parameter value actually configured by the parameter name are searched, and extracted.

The method carries out parameter grading treatment on the collected data. The first parameter set refers to all network parameters, air interface parameters and acquisition process related parameters acquired by terminal side equipment (loading drive test software). The second set of parameters is a network parameter, the third set of parameters is an air interface parameter, and the fourth set of parameters is an acquisition process related parameter.

When the data modeling processing is carried out, the parameter of the fourth parameter set is used as an index, the parameter name of the second parameter set and the parameter value of the actual configuration are used as network configuration, and the parameter name of the third parameter set and the parameter value of the actual configuration are used as air interface configuration, so that a complete data model is formed.

In order to simulate the playback of the outfield configuration, as shown in fig. 1, the configuration values of the network parameters and the air interface parameter configuration values are reproduced in the indoor base station 900-2, that is, the parameters of the fourth parameter set are used as indexes, the network parameter values of the second parameter set are used as the real-network outfield network parameter configuration, and the air interface parameter values of the third parameter set are used as the real-network outfield air interface parameter configuration.

It should be noted that, the above steps are used for a network entity of a wireless communication system, and include a terminal side device, a network side device or other intermediate devices; the above steps may also be used for a service device, such as a drive test device, that provides information processing for the network entity device; the above steps may also be applied to any apparatus, system, subsystem, circuit, chip or software entity that provides information receiving, transmitting, identifying, and processing for a terminal-side device or a network-side device.

Fig. 3 is a schematic diagram of the composition of parameter sets in the embodiment of the present application, and the composition and functions of each parameter set are further described below.

The first parameter set refers to all network parameters, air interface parameters and related parameters of the acquisition process acquired by the drive test software. The following second parameter set is a network parameter, the third parameter set is an air interface parameter, and the fourth parameter set is an acquisition process related parameter.

The second set of parameters includes any combination of: network static parameters, communication characteristic parameters, private parameters, and redundancy parameters.

The communication characteristic parameter refers to a characteristic function of a base station in communication. In one embodiment of the present application, the communication characteristic parameter includes any combination of the following: neighbor information, 4/5G interoperability class, NR power class parameters, NR mobility management, discontinuous Reception (DRX) power saving class parameter configuration, NR random access, timer, beam management, physical resource configuration, layer two parameters, paging class. In one embodiment of the present application, the communication characteristic parameters further include at least one enabling parameter, where the enabling parameter is used to determine whether a configuration parameter corresponding to at least one of the communication characteristic parameters is valid.

The private parameter is a parameter with a fixed parameter value, such as a user number threshold for the VoNR to exit BWP2, etc.

The redundancy parameters refer to parameters other than the network static parameters, the communication characteristic parameters and the private parameters, such as a carrier aggregation configuration cross-station experience evaluation coefficient and the like.

Third parameter set: the third parameter set refers to air interface parameters acquired by the drive test software, namely wireless channel parameters, and comprises at least one of terminal received signal strength (RSRP) and received signal quality (SINR).

Fourth parameter set: the fourth parameter set refers to parameters related to the collection process, and comprises at least one of collection scene, collection precision, collection time, network scene, terminal model used for collection, chip type used for collection and terminal mobility speed during collection.

The second parameter set, the third parameter set and the fourth parameter set in the embodiment of the present application specifically include parameter categories, parameter english names, chinese names and parameter ranges, and each category of the parameter sets only lists 5 parameter names, and omits other parameter names. If there are less than 5 parameters in a category, all parameters for this category are enumerated.

Table 2, second parameter set_network static parameters:

table 3, second parameter set_communication characteristic parameter_neighbor parameter:

table 4, second parameter set_communication characteristic parameter_4/5G interoperability class parameter:

table 5, second parameter set_communication characteristic parameter_nr power class parameter:

table 6, second parameter set_communication characteristic parameter_nr mobility management parameter:

table 7, second parameter set_communication characteristic parameter_drx power saving class parameter:

table 8, second parameter set_communication characteristic parameter_nr random access class parameter:

table 9, second parameter set_communication characteristic parameter_timer related parameter:

Table 10, second parameter set_communication characteristic parameter_beam management parameter:

table 11, second parameter set_communication characteristic parameter_physical resource configuration class parameter:

table 12, second parameter set_communication characteristic parameter_layer related parameters:

table 13, second parameter set_communication characteristic parameter_paging class parameter:

table 14, third parameter set_air interface class parameters:

table 15, fourth parameter set_acquisition process class parameters:

fig. 4 is a flowchart of an embodiment of a method for a terminal-side device according to the present application. In the parameter acquisition process, the mobile terminal equipment can be used for acquiring data in a real operator network, and the acquired data comprises three major types of network parameters, air interface parameters and acquisition process parameters. Network parameters: all network parameters collected by the mobile terminal equipment; air interface parameters: all air interface parameters collected by the mobile terminal equipment; collecting process parameters: refers to the acquisition environment and acquisition equipment parameters involved in the acquisition process.

The method of any one embodiment of the first aspect of the present application is used for a terminal side device, and includes the following steps 210 to 250:

step 210, receiving configuration information (such as the first configuration information and the second configuration information), and determining a value of the configuration information.

The configuration information comprises first configuration information and further can further comprise second configuration information.

At present, data acquisition and channel reconstruction are required to be accurate, and the accuracy of the existing acquisition technology and the reconstructed channel cannot meet the requirements. Moreover, the data acquisition and the channel reconstruction have requirements on the operand, and the operand of the existing acquisition technology and the reconstruction is large and cannot meet the requirements.

Thus, the configuration information is used for selecting at least one of 3GPP, METIS, miWEBA, ITU, COST2100, IEEE 802.11, NYU WIRELESS, IMT-2020, IMT-2030 series communication protocols; the configuration information is used for determining channel precision, for example, defining two channel quantization precision, including acquisition precision and RSRP quantization precision. The configuration information is also used for determining the operand, for example, two operand types are defined, different target parameter sets are obtained by adopting different configuration information, and different operand types are generated.

Step 220, determining a target parameter set according to the configuration information.

Taking the parameters of the fourth parameter set as an index, taking the parameter names of the second parameter set and the actually configured parameter values as network configuration, and taking the parameter names of the third parameter set and the actually configured parameter values as air interface configuration to form a complete set of data model.

Step 230, sending first indication information to the network side device, where the first indication information is used to instruct the network side device to report network data and/or air interface data according to the target parameter set.

Step 240, obtaining network data and/or air interface data of the wireless communication system according to the target parameter set.

The acquired network data of the second parameter set and air interface data of the third parameter set correspond to data of the acquisition process parameters of the fourth parameter set.

Step 250, outputting the network data and/or the air interface data, and indexing the data of the collection process parameters of the fourth parameter set.

The mobile terminal device may collect network data and air interface data of the current network operator. Preferably, the mobile terminal device may be a drive test device, and the data reading and extracting may be performed by drive test software.

Further, the terminal side device or the drive test device extracts all parameter names of the first parameter set, the second parameter set, the third parameter set and the fourth parameter set and the actually configured parameter values from the collected huge data based on the parameter sets. Optionally, the parameter name not found in the data sets the configured parameter value to be null.

Fig. 5 is a flowchart of an embodiment of a method of the present application for a drive test apparatus. The method according to any one of the embodiments of the first aspect of the present application is used in a drive test device on a terminal side, and includes the following steps 310 to 350:

step 310, determining a set of target parameters, which are a subset of the first set of parameters, as described above.

Step 320, determining configuration information according to the target parameter set.

Determining the value of the first configuration information asOne value of seed values, each value corresponding to a preset valueIs a target parameter set of the above.

And 330, sending configuration information to the terminal equipment.

Step 340, sending second indication information to the terminal side device, where the second indication information is used to instruct the terminal side device to collect network data and/or air interface data according to the target parameter set.

Step 350, when the terminal equipment sends feedback to the second indication information, responding to the terminal side equipment, and acquiring network data and/or air interface data of the wireless communication system according to the target parameter set; and the network data and/or the air interface data are indexed by the data of the fourth parameter set.

Because of the huge volume of data collected, parameter classification is first required for further data processing. In the 3GPP, METIS, miWEBA, ITU, COST2100, IEEE 802.11, NYU WIRELESS, IMT-2020, IMT-2030 series communication protocols, the communication function major class is determined according to the configuration information, the parameter names in the communication protocols are classified, the communication functions are matched with the parameter names one by one, and corresponding parameter sets are formed.

When modeling data, the parameters of the fourth parameter set are used as indexes, optionally, the terminal side device and/or the drive test device use the acquisition time, the acquisition precision, the acquisition scene, the acquisition terminal and the acquisition chip as indexes, and the parameter names of the second and third parameter sets and the actually configured parameter values are matched one by one and stored in a preset storage device 100 (as shown in fig. 1).

Fig. 6 is a flowchart of an embodiment of a method for network side simulation equipment according to the present application.

The method of any one embodiment of the first aspect of the present application is used for a network side simulation device, and includes the following steps 410 to 440:

step 410, receiving configuration information, determining a value of the configuration information.

Optionally, before the data analysis, acquiring configuration information, where the configuration information is used to select at least one of 3GPP, METIS, miWEBA, ITU, COST2100, IEEE 802.11, NYU WIRELESS, IMT-2020, IMT-2030 series communication protocols; the configuration information is used for determining channel precision, for example, defining two channel quantization precision, including acquisition precision and RSRP quantization precision. The configuration information is also used for determining the operand, for example, two operand types are defined, different target parameter sets are obtained by adopting different configuration information, and different operand types are generated.

Step 420, determining the target parameter set according to the configuration information.

Taking the parameters of the fourth parameter set as an index, optionally taking the acquisition time, the acquisition scene, the acquisition terminal and the acquisition chip as the index, taking the parameter name of the second parameter set and the actually configured parameter value as network configuration, and taking the parameter name of the third parameter set and the actually configured parameter value as air interface configuration to form a complete set of data model.

Alternatively, the configuration information is obtained from the mobile terminal, and the configuration information range of the second parameter set can be determined according to the accuracy, parameter requirements and the like of the construction scene information, and the configuration information rule and the content are determined.

Step 430, reading network data and/or air interface data according to the target parameter set.

Generally, if the network side device is a device in the current network operation state, network data and air interface data of the network side device can be collected in response to the first indication information, and the collected network data and/or air interface data can be sent to the terminal device sending the first indication information.

If the network-side device is a device for simulation test, for example, an indoor device, the network data and/or the air interface data may be read from the preset storage device 100 with the data of the fourth parameter set as an index.

When the network side device is a device for simulation test, further, step 440 is further included:

step 440, simulating the outfield playback according to the network data and/or the air interface data.

And according to different standard protocol types, channel precision and operand, the external field configuration is reproduced in a laboratory.

Playback of laboratory network parameters, including static parameters of the second set of parameters, network characteristic enabling parameter writing. And matching the written parameter values according to the fourth parameter set index in the base stations of different equipment vendors to realize the playback of the network parameter configuration.

And playing back the air interface parameters of the laboratory, wherein the air interface parameters comprise terminal received signal strength (RSRP) and received signal quality (SINR) of a third parameter set, and writing the air interface parameters based on the program-controlled attenuator and the channel simulator to realize writing of air interface parameter configuration.

In order to completely reproduce the configuration of the real network outfield in the indoor, the configuration values of all network parameters and the configuration values of the air interface parameters need to be reproduced in the indoor base station, namely, the parameters of the fourth parameter set are used as indexes to realize the configuration of the network parameters of the second parameter set as the real network outfield network parameters, and the air interface parameters of the third parameter set are used as the configuration of the real network outfield air interface parameters.

The analog outfield configuration playback is strongly related to the channel precision and the operand, and the method defines two channel quantization precision and two operand.

The channel quantization accuracy comprises RSRP in the third parameter set and acquisition accuracy of the fourth parameter set, wherein the RSRP unit is (dB) and the acquisition accuracy unit is (meters).

The amount of computation is related to the range of the target parameter set, and the different roles of the parameters are analyzed below, thereby improving the amount of computation to be reduced. The set of target parameters 1 can reproduce 90% of the external field configuration, the set of target parameters 2 can reproduce 80% of the external field configuration, and the colleague can save time greatly.

The analysis of which parameters can affect the outfield configuration less while taking up a lot of computation.

The method considers that the manufacturer private parameters in the second parameter set generally do not have external open modification permission, the influence of the redundant parameters on the characteristics is not great, and the private parameters and the redundant parameters occupy more than 70% of operation quantity. In order to realize better parameters of the simulated outfield effect, the preferred parameter combination is network static parameters in the second parameter set, communication characteristic parameter parameters (without private parameters and redundant parameters) in the second parameter set and air interface parameters of the third parameter set.

Fig. 7 is a schematic diagram of an embodiment of a terminal-side apparatus. The embodiment of the application also provides a device for acquiring the network working parameters of the terminal side, which is used for realizing the method of any one embodiment of the first aspect of the application.

In order to implement the above technical solution, the terminal-side device 500 provided in the present application includes a first output module 501, a first determination module 502, and a first input module 503 that are connected to each other.

The first input module is used for receiving configuration information; acquiring network data and/or air interface data of the wireless communication system according to the target parameter set; in one embodiment, the method is further used for receiving second indication information, and the second indication information is used for indicating the terminal side device to collect network data and/or air interface data according to the target parameter set.

Specific methods for implementing the functions of the first output module, the first determining module, and the first receiving module are described in the embodiments of the methods of the present application, and are not described herein again.

The terminal side device may refer to a User Equipment (UE), a personal mobile terminal, an intelligent terminal, a mobile phone, a computer with a communication function, a system for providing services for the device, or any system, subsystem, module, circuit, chip or software running device for providing information receiving, sending, identifying and processing for the device.

Figure 8 is a schematic diagram of an embodiment of a drive test apparatus. The embodiment of the application also provides a network working parameter acquisition device of the drive test equipment, which is used for realizing the method of any one embodiment of the first aspect of the application

In order to implement the above technical solution, the drive test device 800 provided in the present application includes a second output module 801, a second determination module 802, and a second input module 803 that are connected to each other.

the second output module is used for sending configuration information; and sending second indication information to the terminal side equipment, wherein the second indication information is used for indicating the terminal side equipment to collect network data and/or air interface data according to the target parameter set.

Specific methods for implementing the functions of the second output module, the second determining module, and the second input module are described in the embodiments of the methods of the present application, and are not described herein again.

Fig. 9 is a schematic diagram of an embodiment of a network side device. The embodiment of the application also provides a network operation parameter acquisition device at the network side, which is used for realizing the method of any one embodiment of the first aspect of the application,

in order to implement the above technical solution, the network side device 900 provided in the present application includes a third output module 901, a third determining module 902, and a third input module 903 that are connected to each other.

if the network side equipment is equipment in the current network running state, the network data and the air interface data of the network side equipment can be acquired in response to the first indication information.

If the network-side device is a device for simulation test, for example, an indoor device, the network data and/or the air interface data may be read from the preset storage device 100, and the data of the fourth parameter set is used as an index.

in one embodiment, the network side device is a device in the current network operation state, and responds to the first indication information, and sends the collected network data and/or air interface data to the terminal device sending the first indication information. The third output module is configured to send the collected network data and/or air interface data, and uses the data of the fourth parameter set as an index.

In one embodiment, the network device is a device for simulation test, and the third output module is configured to simulate external field playback according to the network data and/or the air interface data, and generate a target channel.

Specific methods for implementing the functions of the third output module, the third determining module, and the third input module are described in the embodiments of the methods of the present application, and are not described herein again.

The network side device described in the present application may refer to a base station facility, a network side device or a server connected to a base station, or may be a system for providing services for the above devices, or may be any system, subsystem, module, circuit, chip or software running device for providing information receiving, sending, identifying and processing for the above devices.

Fig. 10 is a schematic structural diagram of a network side device according to another embodiment of the present invention. As shown, the network side device 600 includes a processor 601, a wireless interface 602, and a memory 603. Wherein the wireless interface may be a plurality of components, i.e. comprising a transmitter and a receiver, providing a means for communicating with various other apparatuses over a transmission medium. The wireless interface realizes the communication function with the terminal side equipment, processes wireless signals through a receiving and transmitting device, and the data carried by the signals are communicated with the memory or the processor through an internal bus structure. The memory 603 contains a computer program for executing any of the embodiments of the present application, which computer program runs or changes on the processor 601. When the memory, the processor, and the wireless interface circuit are connected through a bus system, the bus system includes a data bus, a power bus, a control bus, and a status signal bus, which are not described herein again.

Fig. 11 is a block diagram of a terminal-side device according to another embodiment of the present invention. The terminal-side device 700 comprises at least one processor 701, a memory 702, a user interface 703 and at least one network interface 704. The various components in the terminal-side device 700 are coupled together by a bus system. Bus systems are used to enable connected communication between these components. The bus system includes a data bus, a power bus, a control bus, and a status signal bus.

The user interface 703 may include a display, keyboard, or pointing device, such as a mouse, trackball, touch pad, or touch screen, among others.

The memory 702 stores executable modules or data structures. The memory may store an operating system and application programs. The operating system includes various system programs, such as a framework layer, a core library layer, a driver layer, and the like, for implementing various basic services and processing hardware-based tasks. The application programs include various application programs such as a media player, a browser, etc. for implementing various application services.

In an embodiment of the present invention, the memory 702 contains a computer program that executes any of the embodiments of the present application, the computer program running or changing on the processor 701.

The memory 702 contains a computer readable storage medium, and the processor 701 reads the information in the memory 702 and performs the steps of the above method in combination with its hardware. In particular, the computer readable storage medium has stored thereon a computer program which, when executed by the processor 701, implements the steps of the method embodiments as described in any of the embodiments above.

The processor 701 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the methods of the present application may be performed by integrated logic circuitry in hardware or instructions in software in processor 701. The processor 701 may be a general purpose processor, a digital signal processor, an application specific integrated circuit, an off-the-shelf programmable gate array or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component. The disclosed methods, steps, and logic blocks in the embodiments of the present invention 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 invention may be embodied directly in the execution of a hardware decoding processor, or in the execution of a combination of hardware and software modules in a decoding processor.

It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. In one typical configuration, the device of the present application includes one or more processors (CPUs), an input/output user interface, a network interface, and memory.

Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

Accordingly, the present application also proposes a computer readable medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method according to any of the embodiments of the present application. For example, the memory 603, 702 of the present invention may include non-volatile memory in a computer-readable medium, random Access Memory (RAM) and/or non-volatile memory, etc., such as read-only memory (ROM) or flash RAM.

Based on the embodiments of the apparatus described in the foregoing application, the present application further proposes a network operation parameter acquiring system, which includes at least 1 network operation parameter acquiring device according to the embodiment of the fourth aspect of the present application, and further includes at least 1 network operation parameter acquiring device according to the embodiment of the second aspect of the present application and/or at least 1 network operation parameter acquiring device according to the embodiment of the third aspect of the present application.

It should be noted that the specific mobile communication technology described in the present invention is not limited, and may be WCDMA, CDMA2000, TD-SCDMA, wiMAX, LTE/LTE-A, LAA, muLTEfire, and fifth generation, sixth generation, and nth generation mobile communication technologies that may occur subsequently.

The terminal described in the present invention refers to a terminal side product capable of supporting a communication protocol of a land mobile communication system, and a Modem module (Wireless Modem) for special communication, which can be integrated by various types of terminal forms such as a mobile phone, a tablet computer, a data card, etc. to complete a communication function.

For convenience of description, a fourth generation mobile communication system LTE/LTE-a and its derivative multewire are taken as an example, wherein a mobile communication terminal may be denoted as UE (User Equipment), and an access device at a network side may be denoted as a base station or an access point.

It should also be noted that 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 phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.

The terms "first" and "second" … … used herein are intended to be used for distinguishing between a plurality of objects having the same name, and unless otherwise specified, are not intended to be construed as meaning any order or size.

The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.

Claims

1. A method for processing network operating parameters for a wireless communication system, comprising the steps of:

2. The method of processing network operating parameters of claim 1,

the first configuration information includesAnd (5) seed values, wherein a target parameter set corresponding to each value is preset.

3. The method of processing network operating parameters of claim 1,

And determining second configuration information, wherein the second configuration information is used for identifying a standard type corresponding to the target channel, and the standard type is any one of 3GPP, METIS, miWEBA, ITU, COST2100, IEEE 802.11, NYU WIRELESS, IMT-2020 and IMT-2030.

4. The method of processing network operating parameters of claim 1,

the target parameter set comprises a second parameter set subset, and the second parameter set subset comprises any combination of network static parameters, communication characteristic parameters, private parameters and redundancy parameters;

the network static parameters are the basic parameters of the network configuration,

the network static parameters comprise any of operators, country codes (MCCs), network codes (MNCs), longitudes, latitudes, base station IDs, cell IDs and subcarrier intervals;

the communication characteristic parameters refer to characteristic functions of the base station in communication, and the communication characteristic parameters comprise any combination of the following: neighbor information, 4/5G interoperability class, NR power class parameters, NR mobility management, discontinuous Reception (DRX) power saving class parameter configuration, NR random access, timer, beam management, physical resource configuration, layer two parameters, paging class;

the private parameter is a parameter with a fixed parameter value;

5. The method for processing network operating parameters of claim 4, wherein,

the communication characteristic parameters further comprise at least one enabling parameter, and the enabling parameter is used for determining whether the configuration parameter corresponding to at least one of the communication characteristic parameters is effective.

6. The method of processing network operating parameters of claim 1,

the target parameter set comprises a third parameter set subset, wherein the third parameter set subset comprises air interface parameters acquired by drive test software and comprises at least one of terminal received signal strength (RSRP) and received signal quality (SINR).

7. The method of processing network operating parameters of claim 1,

the target parameter set comprises a fourth parameter set subset, and the fourth parameter set subset comprises at least one of a collection scene, collection precision, collection time, a terminal model used for collection, a chip type and a terminal mobility speed in the data collection process.

8. The method of processing network operating parameters of claim 1,

When generating the target channel, the parameters not belonging to the target parameter set are set to be null.

9. The method of processing network operating parameters of claim 1,

the first configuration information includes a first value or a second value, the first value corresponds to a channel of the first type protocol parameter, the second value corresponds to a channel of the second type protocol parameter, the first value is different from the second value, and the first type protocol is different from the second type protocol.

10. The method of processing network operating parameters of claim 1,

the first configuration information comprises a third value or a fourth value, the third value corresponds to a first quantization precision of channel reconstruction, the fourth value corresponds to a second quantization precision of channel reconstruction, the third value is different from the fourth value, and the first quantization precision is different from the second quantization precision.

11. The method of processing network operating parameters of claim 1,

the first configuration information includes a fifth value or a sixth value, the fifth value corresponds to a first operation complexity of channel reconstruction, the sixth value corresponds to a second operation complexity of channel reconstruction, the fifth value is different from the sixth value, and the first operation complexity is different from the second operation complexity.

12. A network operation parameter obtaining device, configured to implement the method of any one of claims 1 to 11, comprising:

the first determining module is used for determining configuration information; determining the target parameter set according to configuration information;

13. A network operation parameter obtaining device, configured to implement the method of any one of claims 1 to 11, and comprising:

14. A network operation parameter obtaining device, configured to implement the method of any one of claims 1 to 11, and comprising:

15. A communication device, comprising: memory, a processor and a computer program stored on the memory and executable on the processor, which when executed by the processor performs the steps of the method according to any one of claims 1 to 11.

16. A computer readable medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method according to any of claims 1-11.

17. A network operating parameter acquisition system comprising at least 1 network operating parameter acquisition device according to claim 14, further comprising at least 1 network operating parameter acquisition device according to claim 12 and/or at least 1 network operating parameter acquisition device according to claim 13.