CN117320047B - A method and device for processing network working parameters - Google Patents

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

A method and device for processing network working parameters

Technical field

The present application relates to the field of wireless communication technology, and in particular, to a method and device for processing network operating parameters.

Background technique

At present, the testing of 5G terminals on real network operators requires finding suitable scenarios for on-site testing.

In order to reproduce the commercial networks of multiple operators with high accuracy and speed indoors, it is necessary to carry out parameter collection, data extraction and modeling, and finally simulate outdoor playback.

To this end, existing operator network tests have the following problems:

There are network configuration differences in real networks, and the air interface environment is unstable. There are differences in network configurations between different countries, operators, provinces, cities, and counties. Operators will conduct network planning and optimization regularly or irregularly, and the parameters and air interface environment of the real network change rapidly.

Data collection and channel reconstruction require accuracy. At present, there are regional differences in the collection of live networks by operators, and the collection accuracy is not high.

To accurately and stably reproduce commercial networks requires high computational complexity. Currently, the base station has more than 2,000 parameters. To accurately reproduce all of them, the computational complexity is too high.

Therefore, a data processing method is urgently needed to solve the above problems of operational network measurement.

Contents of the invention

This application proposes a method and device for processing network working parameters. In order to solve the problems of manual testing, large-scale testing, repeated testing, low efficiency, and high cost in real networks, this application provides a comprehensive and accurate technical solution for network parameter collection, modeling, and playback system. After processing the collected data, Achieve high-precision, fast playback in the laboratory.

In the first aspect, a network working parameter processing method is used in a wireless communication system, including the following steps:

Determine first configuration information, the first configuration information is used to indicate 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 Parameter set or fourth parameter set;

The first parameter set includes any of a second parameter set, a third parameter set and a fourth parameter set, the second parameter set includes network parameters, the third parameter set includes air interface parameters, and the fourth parameter The collection contains collection condition parameters;

Network data and/or air interface data of the wireless communication system are obtained according to the target parameter set, and these data are used to control the network side device to simulate the external field playback target channel.

In one embodiment of the present application, the first configuration information includes There are three kinds of values, and the target parameter set corresponding to each value is preset.

In one embodiment of the present application, second configuration information is determined, and the second configuration information is used to identify the standard type corresponding to the target channel. The standard type is 3GPP, METIS, MiWEBA, ITU, COST2100, and IEEE802. 11. Any one of NYU WIRELESS, IMT-2020, and 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 redundant parameters.

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

The communication characteristic parameters refer to the characteristic functions of the base station during communication. In one embodiment of the present application, the communication characteristic parameters include any combination of the following: neighbor cell information, 4/5G interoperability category, NR power category parameters, NR mobility management, discontinuous reception (DRX) power saving category Parameter configuration, NR random access, timer, beam management, physical resource configuration, layer 2 parameters, paging class.

The private parameters are parameters with fixed parameter values.

The redundant parameters refer to parameters in the network parameters other than the above-mentioned network static parameters, communication characteristic parameters, and private parameters.

In one embodiment of the present application, the communication characteristic parameters further include at least one enabling parameter, and 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, and the third parameter set subset includes air interface parameters collected by the drive test software, including terminal received signal strength (RSRP), received signal At least one of the quality (SINR).

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

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

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

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

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

In the second aspect, the embodiments of this application also provide a network working parameter acquisition device, which is used to implement the method described in any one of the embodiments of the first aspect of this application, including:

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

The first determination module is used to determine configuration information; determine the target parameter set according to the configuration information;

The first output module is configured to send 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; and is also used to output the Network data and/or air interface data.

In a third aspect, the embodiments of this application also provide a network working parameter acquisition device for implementing the method described in any one of the embodiments of the first aspect of this application, including:

The second input module, in response to the terminal side device, acquires the network data and/or air interface data of the wireless communication system according to the target parameter set;

The second determination module is used to determine the target parameter set; determine the configuration information according to the target parameter set;

The second output module is configured to send configuration information; send second instruction information to the terminal side device, where the second instruction information is used to instruct the terminal side device to collect network data and/or air interface data according to the target parameter set;

In the fourth aspect, the embodiments of this application also provide a network working parameter acquisition device, which is used to implement the method described in any one of the embodiments of the first aspect of this application, including:

The third input module is used to receive configuration information; read network data and/or air interface data according to the target parameter set;

The third determination module is used to determine configuration information; determine the target parameter set according to the configuration information;

The third output module is used to simulate field playback according to the network data and/or air interface data.

In a fifth aspect, embodiments of the present application also provide a communication device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor. The computer program is used by the processor. When executed, the steps of the method described in any embodiment of the first aspect of this application are implemented.

In a sixth aspect, embodiments of the present application also provide a computer-readable medium. A computer program is stored on the computer-readable medium. When the computer program is executed by a processor, any one of the embodiments of the first aspect of the application is implemented. steps of the method.

In the seventh aspect, the embodiments of the present application also provide a network working parameter acquisition system, which includes at least one network working parameter acquisition device as described in the embodiment of the fourth aspect of the present application, and also includes at least one device as described in the second aspect of the present application. The network operating parameter acquisition device described in the embodiment and/or at least one network operating parameter acquisition device as described in the embodiment of the third aspect of this application.

At least one of the above technical solutions adopted in the embodiments of the present application can achieve the following beneficial effects:

Based on the real network parameters and air interface data collection, this method will achieve professional and efficient accurate extraction of network parameters and air interface environment for wireless communication scenarios and business types in all indoor and outdoor scenarios, and perform multi-processing on the collected full scene data. Dimensional data modeling processing, playback in real indoor base stations.

Among 5G existing network operators, there are multiple coverage scenarios, as well as indoor/outdoor deployment and applications. Using this method for parameter collection, extraction and modeling, and simulated field playback, actual operator network parameters and air interface parameters can be collected, and the collected data can be processed such as data extraction, data analysis, data classification, and data modeling to facilitate Perform field replication in the laboratory.

No matter how different the network configuration is in the real network or how unstable the air interface environment is, the parameter collection process of this application can be adopted to collect the real network configuration, network deployment, and air interface environment of the real network, which can dynamically adapt to different countries, operators, There are differences in network configurations among provinces, cities, and counties, and operators regularly or irregularly conduct network planning and optimization, and the parameters of the real network and the air interface environment change rapidly.

This application proposes a comprehensive and systematic network parameter induction and modeling method to analyze all parameters collected from the real network. In the embodiment of this application, two types of channel quantization accuracy are proposed, including RSRP quantization accuracy and acquisition accuracy.

In the embodiments of this application, two computational complexity methods are also proposed. One of them can be selected for execution according to the number of resources collected and reconstructed and time requirements.

Description of drawings

The drawings described here are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation of the present application. In the attached picture:

Figure 1 is a system schematic diagram of the application scenario of this application;

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

Figure 3 is a schematic diagram of the composition of the parameter set according to the embodiment of the present application;

Figure 4 is a flow chart of an embodiment in which the method of the present application is applied to terminal-side equipment;

Figure 5 is a flow chart of an embodiment of the method of the present application being used for drive test equipment;

Figure 6 is a flow chart of an embodiment in which the method of the present application is used for network-side simulation equipment;

Figure 7 is a schematic diagram of an embodiment of terminal side equipment;

Figure 8 is a schematic diagram of an embodiment of drive test equipment;

Figure 9 is a schematic diagram of an embodiment of network side simulation equipment;

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

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

Detailed ways

In order to make the purpose, technical solutions and advantages of the present application clearer, the technical solutions of the present application will be clearly and completely described below in conjunction with specific embodiments of the present application and corresponding drawings. Obviously, the described embodiments are only some of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of this application.

The technical solutions provided by each embodiment of the present application will be described in detail below with reference to the accompanying drawings.

Figure 1 is a system schematic diagram of the application scenario of this application. A wireless communication network composed of terminal-side equipment (such as UE) and network-side equipment (base stations and core network equipment). The figure includes network side equipment 900-1, simulated network side equipment 900-2, general terminal side equipment 500, terminal side equipment 800 used as drive test equipment, and storage device 100.

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

Step 110: Determine first configuration information, where the first configuration information is used to indicate a target parameter set.

Preferably, the first configuration information includes There are three kinds of values, and the target parameter set corresponding to each value is preset.

In one embodiment of the present application, the first configuration information includes a first value or a second value. The first value corresponds to the channel of the first type of protocol parameter, and the second value corresponds to the second type of protocol parameter. Corresponding to the channel, 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 standard protocol types corresponding to the target channel, the first type of protocol is 3GPP, and the second type of protocol is COST2100. In another embodiment of the present application, the method further includes: determining second configuration information, the second configuration information being used to identify the standard type corresponding to the target channel, and the standard type is 3GPP, METIS, MiWEBA, ITU, Any one of COST2100, IEEE802.11, NYU WIRELESS, IMT-2020, and IMT-2030.

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

Define the operator, country code (MCC), network code (MNC), longitude, latitude, base station ID, cell ID, subcarrier spacing among the network static parameters corresponding to the second parameter set, and the second parameter set Communication characteristic parameters, including neighbor cell information, 4/5G interoperability, NR power parameters, NR mobility management, discontinuous reception (DRX) power saving parameter configuration, NR random access, timer, beam management, Physical resource configuration, layer 2 parameters, paging class, and air interface parameters of the third parameter set, including RSRP, SINR, and the collection scenario, collection accuracy, collection time, terminal model and chip type of the fourth parameter set, The acquisition accuracy is 5 meters, and the RSRP quantization accuracy is 3dB.

Define the second quantization accuracy corresponding to the operator, country code (MCC), network code (MNC), longitude, latitude, base station ID, cell ID, subcarrier spacing in the network static parameters of the second parameter set, and the second parameter set Communication characteristic parameters, including neighbor cell information, 4/5G interoperability, NR power parameters, NR mobility management, discontinuous reception (DRX) power saving parameter configuration, NR random access, timer, beam management, Physical resource configuration, layer 2 parameters, paging class, and air interface parameters of the third parameter set, including RSRP, SINR, and the collection scenario, collection accuracy, collection time, terminal model and chip type of the fourth parameter set, The acquisition accuracy is 10 meters, and the RSRP quantization accuracy is 5dB.

In one embodiment of the present application, the first configuration information includes a fifth value or a sixth value. The fifth value corresponds to the first operational complexity of channel reconstruction, and the sixth value corresponds to the first computational complexity of channel reconstruction. Corresponding to the second operational complexity of , 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 target parameter set corresponding to the fifth value includes parameters as shown in Tables 2 to 14, for example. The target parameter set corresponding to the sixth value is, for example, Table 1, excluding at least part of the parameters in Tables 2 to 14. The configuration information makes The computation volume of the collector meets the requirements.

If the target parameter set defined by the fifth value includes several parameters "XXX", and the target parameter set corresponding to the sixth value does not include these parameters, through the configuration information, high computational effort can restore 90% of the field configuration, and low computational effort It can restore 80% of the field configuration, but save 70% of time and computing resources.

Defining target parameters that include private parameters and redundant parameters in the second parameter set requires a high computational load. Through analysis, the total number of base station parameters exceeds 2,000, and the number of private parameters and redundant parameters exceeds 1,400. The high-computation target parameter set has 2000 parameters and can accurately restore more than 90% of the external field;

Defining target parameters that do not include private parameters and redundant parameters in the second parameter set has a low computational load; through analysis, the redundant parameters are configuration parameters of the base station, but they are not strongly related parameters. Changing the parameters will affect the characteristics of the base station. Has little effect. Therefore, the low-computation parameter set has 600 parameters, which can restore more than 80% of the external field and save 70% of time and computing resources.

This method combines the laboratory simulation network and uses a low-computation parameter set. As shown in Figure 1, by simulating the network side device 900-2, the most accurate cellular network that is combined with the real network environment and wireless channel environment is constructed in the laboratory. mobile network.

Step 120: Determine 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 gather;

The first parameter set includes any of a second parameter set, a third parameter set and a fourth parameter set, the second parameter set includes network parameters, the third parameter set includes air interface parameters, and the fourth parameter Collection contains collection condition parameters.

The first parameter set may be a parameter set of 3GPP, METIS, MiWEBA, ITU, COST2100, IEEE 802.11, NYUWIRELESS, IMT-2020, and IMT-2030 series communication protocols.

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 redundant parameters.

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

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

In one embodiment of the present application, a preset target parameter set with low computational complexity is shown in Table 1, excluding private parameters and redundant parameters:

Table 1,

Step 130: Obtain network data and/or air interface data of the wireless communication system according to the target parameter set. These data are used to control the network side device to simulate the external field playback target channel. In the target parameter set, the network data corresponding to the second parameter set subset and the air interface data corresponding to the third parameter set subset correspond to the data of the collection process parameters of the fourth parameter set subset.

A complete set of data models should include the collection terminal using the fourth parameter set, collection accuracy, collection chip, collection time, collection scene as index, and the parameter names and parameter values of the second and third parameter sets collected.

The data collected on process parameters can be used as an index for air interface data and/or network data. For example:

Using the collection time as an index, you can obtain the real network parameter configuration and air interface parameter configuration at a specific time.

Using the collection scenario as an index, you can obtain the real network parameter configuration and air interface parameter configuration of a specific scenario.

Using the collection terminal as an index, you can obtain the real network parameter configuration and air interface parameter configuration of a specific collection terminal.

Using the acquisition chip as an index, you can obtain the real network parameter configuration and air interface parameter configuration of a specific acquisition chip.

Based on the collected drive test parameters, the data collected by the mobile terminal equipment must first be analyzed, classified, and classified. Then, the corresponding parameter names and parameter values must be extracted from the collected parameters, and the parameter names and values must be extracted. Parameter values are used for modeling processing.

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

In this application, by analyzing different communication protocols, the major categories of communication functions are summarized. At the same time, the parameter names in the communication protocols are classified, the communication functions and parameter names are matched one by one, and the first, second, third, and third functions are defined. The fourth parameter set is shown in Figure 3.

In step 130, when this application performs data extraction based on the collected data, it searches for the parameter name and the parameter value actually configured by the parameter name, and extracts them.

This method performs parameter classification processing on the collected data. The first parameter set refers to all network parameters, air interface parameters, and collection process-related parameters collected through the terminal side device (loading the drive test software). The second parameter set is network parameters, the third parameter set is air interface parameters, and the fourth parameter set is collection process related parameters.

When performing data modeling processing, the parameters of the fourth parameter set are used as indexes, the parameter names and actual configured parameter values of the second parameter set are used as network configurations, and the parameter names and actual configured parameter values of the third parameter set are used as Air interface configuration forms a complete data model.

In order to simulate outdoor configuration playback, as shown in Figure 1, the network parameter configuration values and 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 to realize the network parameters of the second parameter set. The value is used as the real network field network parameter configuration, and the air interface parameter value of the third parameter set is used as the real network field air interface parameter configuration.

It should be noted that the above steps are used for network entities of wireless communication systems, including terminal side equipment, network side equipment or other intermediate equipment; the above steps can also be used to provide information processing service devices for the network entity equipment, such as drive testing. Equipment; the above steps can also be used for any device, system, subsystem, circuit, chip or software entity that provides information reception, transmission, identification, and processing for terminal-side equipment or network-side equipment.

FIG. 3 is a schematic diagram of the structure of a parameter set according to an embodiment of the present application. The structure and function of each parameter set will be further described below.

The first parameter set refers to all network parameters, air interface parameters, and collection process-related parameters collected by the drive test software. The following second parameter set is network parameters, the third parameter set is air interface parameters, and the fourth parameter set is collection process related parameters.

The second parameter set includes any combination of the following: network static parameters, communication characteristic parameters, private parameters, and redundant parameters.

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

The communication characteristic parameters refer to the characteristic functions of the base station during communication. In one embodiment of the present application, the communication characteristic parameters include any combination of the following: neighbor cell information, 4/5G interoperability category, NR power category parameters, NR mobility management, discontinuous reception (DRX) power saving category Parameter configuration, NR random access, timer, beam management, physical resource configuration, layer 2 parameters, paging class. In one embodiment of the present application, the communication characteristic parameters further include at least one enabling parameter, and 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 parameters are parameters with fixed parameter values, such as the threshold of the number of users for VoNR to exit BWP2, etc.

The redundant parameters refer to parameters in the network parameters other than the above-mentioned network static parameters, communication characteristic parameters, and private parameters, such as carrier aggregation configuration cross-site experience evaluation coefficients, etc.

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

The fourth parameter set: The fourth parameter set refers to parameters related to the collection process, including at least one of the collection scenario, collection accuracy, collection time, network scenario, terminal model used for collection, chip type used for collection, and terminal mobility speed during collection. item.

The following lists the specific parameter categories, parameter English names, Chinese names, and parameter ranges included in the second parameter set, the third parameter set, and the fourth parameter set in the embodiment of the present application. Only 5 parameter names are listed for each parameter set category. Omit other parameter names. If there are less than 5 parameters in a category, all parameters in this category are listed.

Table 2. Second parameter set_network static parameters:

Table 3. Second parameter set_communication characteristic parameters_neighbor cell parameters:

Table 4. Second parameter set_communication characteristic parameters_4/5G interoperability parameters:

Table 5. Second parameter set_communication characteristic parameters_NR power class parameters:

Table 6. Second parameter set_communication characteristic parameters_NR mobility management parameters:

Table 7. Second parameter set_communication characteristic parameters_DRX power saving parameters:

Table 8. Second parameter set_communication characteristic parameters_NR random access parameters:

Table 9. Second parameter set_communication characteristic parameters_timer related parameters:

Table 10. Second parameter set_communication characteristic parameters_beam management parameters:

Table 11. Second parameter set_communication characteristic parameters_physical resource configuration parameters:

Table 12. Second parameter set_communication characteristic parameters_layer 2 related parameters:

Table 13. Second parameter set_communication characteristic parameters_paging parameters:

Table 14. Third parameter set_air interface parameters:

Table 15. The fourth parameter set_acquisition process parameters:

Figure 4 is a flow chart of an embodiment of the method of the present application applied to terminal-side equipment. In the parameter collection process, mobile terminal devices can be used to collect data in real operator networks. The collected data includes three categories: network parameters, air interface parameters, and collection process parameters. Network parameters: refers to all network parameters collected by mobile terminal equipment; air interface parameters: all air interface parameters collected by mobile terminal equipment; collection process parameters: refers to the collection environment and collection equipment parameters involved in the collection process.

The method described in any embodiment of the first aspect of this application is used for terminal-side equipment and includes the following steps 210~250:

Step 210: Receive configuration information (such as first configuration information, second configuration information), and determine the value of the configuration information.

The configuration information described in this application includes first configuration information, and may further include second configuration information.

At present, data collection and channel reconstruction have requirements for accuracy, and the accuracy of existing collection technology and reconstructed channels cannot meet the requirements. Moreover, data acquisition and channel reconstruction have requirements for computational workloads. The existing acquisition technology and reconstruction require large computational workloads and cannot meet the requirements.

Therefore, the configuration information is used to select at least one of the 3GPP, METIS, MiWEBA, ITU, COST2100, IEEE 802.11, NYU WIRELESS, IMT-2020, and IMT-2030 series communication protocols; the configuration information is used to Determine the channel accuracy. For example, define two channel quantization accuracy, including acquisition accuracy and RSRP quantization accuracy. The configuration information is also used to determine the calculation amount. For example, two types of calculation amounts are defined. By using different configuration information, different target parameter sets are obtained and different calculation amounts are generated.

Step 220: Determine the target parameter set according to the configuration information.

The parameters of the fourth parameter set are used as indexes, the parameter names and actual configured parameter values of the second parameter set are used as network configurations, and the parameter names and actual configured parameter values of the third parameter set are used as air interface configurations to form a complete set. data model.

Step 230: Send first instruction information to the network side device, where the first instruction 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: Obtain network data and/or air interface data of the wireless communication system according to the target parameter set.

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

Step 250: Output the network data and/or air interface data, using the collection process parameter data of the fourth parameter set as an index.

Mobile terminal equipment can collect network data and air interface data of existing network operators. Preferably, the mobile terminal device can be a drive test device, and data can be read and extracted through drive test software.

Further, the terminal side device or the drive test device, based on the above parameter set, extracts all parameters of the first parameter set, the second parameter set, the third parameter set, and the fourth parameter set from the collected huge data. name, and the actual configured parameter values. Optional, if the parameter name is not found in the data, set the configured parameter value to empty.

Figure 5 is a flow chart of an embodiment of the method of the present application being used for drive testing equipment. The method described in any embodiment of the first aspect of this application is used for a terminal-side drive test device, and includes the following steps 310 to 350:

Step 310: Determine a target parameter set. As mentioned above, the target parameter set is a subset of the first parameter set.

Step 320: Determine configuration information according to the target parameter set.

According to the attributes of the target parameter set of interest, determine the value of the first configuration information as One of the values, each value corresponds to a preset set of target parameters.

Step 330: Send configuration information to the terminal device.

Step 340: Send second instruction information to the terminal side device, where the second instruction 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 device sends feedback to the second indication information, in response to the terminal side device, obtain the network data and/or air interface data of the wireless communication system according to the target parameter set; the network data and/or Or air interface data, with the data of the fourth parameter set as the index.

Based on the collected drive test parameters, the data collected by the mobile terminal equipment must first be analyzed, classified, and classified. Then, the corresponding parameter names and parameter values must be extracted from the collected parameters, and the parameter names and values must be extracted. Parameter values are used for modeling processing.

Due to the huge amount of data collected, in order to further process the data, it is first necessary to classify the parameters. In the 3GPP, METIS, MiWEBA, ITU, COST2100, IEEE 802.11, NYU WIRELESS, IMT-2020, and IMT-2030 series communication protocols, the communication function categories are determined based on the configuration information, the parameter names in the communication protocol are classified, and the communication functions are Match the parameter names one by one to form a corresponding parameter set.

According to the extracted data, when performing data modeling, the parameters of the fourth parameter set are used as indexes. Optionally, the terminal side device and/or the drive test device will use the collection time, collection accuracy, collection scene, collection The terminal and acquisition chip are used as indexes to match the parameter names of the second and third parameter sets and the actual configured parameter values one by one and store them in the preset storage device 100 (as shown in Figure 1).

Figure 6 is a flow chart of an embodiment of the method of the present application being used for network-side simulation equipment.

The method described in any embodiment of the first aspect of this application is used for network-side simulation equipment, and includes the following steps 410~440:

Step 410: Receive configuration information and determine the value of the configuration information.

Optionally, before data analysis, obtain configuration information, which is used to select among 3GPP, METIS, MiWEBA, ITU, COST2100, IEEE 802.11, NYU WIRELESS, IMT-2020, and IMT-2030 series communication protocols At least one item; the configuration information is used to determine channel accuracy, for example, defining two channel quantization accuracy, including acquisition accuracy and RSRP quantization accuracy. The configuration information is also used to determine the calculation amount. For example, two types of calculation amounts are defined. By using different configuration information, different target parameter sets are obtained and different calculation amounts are generated.

Step 420: Determine the target parameter set according to the configuration information.

Use the parameters of the fourth parameter set as the index. Optionally, use the collection time, collection scene, collection terminal, and collection chip as the index. Use the parameter names and actual configured parameter values of the second parameter set as the network configuration. Use the third parameter set as the network configuration. The parameter names of the parameter set and the actual configured parameter values are used as air interface configurations to form a complete data model.

Optionally, the configuration information is obtained from the mobile terminal, the configuration information range of the second parameter set can be determined based on the accuracy of the constructed scene information, parameter requirements, etc., and the configuration information rules and content can be determined.

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

Generally, if the network side device is a device in the running state of the existing network, in response to the first indication information, the network data and air interface data of the network side device can be collected, and the collected data can be sent to the terminal device that issued the first indication information. Network data and/or air interface data.

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

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

Step 440: Simulate off-site playback according to the network data and/or air interface data.

According to different standard protocol types, channel accuracy, and computational complexity, field configurations can be reproduced in the laboratory.

Playback of laboratory network parameters, including static parameters of the second parameter set and writing of network feature enable parameters. It is necessary to match and write parameter values in base stations of different equipment vendors according to the fourth parameter set index to achieve playback of network parameter configurations.

Laboratory air interface parameter playback, including the terminal received signal strength (RSRP) and received signal quality (SINR) of the third parameter set, is based on the program-controlled attenuator and channel simulator, and the air interface parameters are written to realize the writing of the air interface parameter configuration.

In order to completely reproduce the configuration of the real network and the outdoor field indoors, it is necessary to reproduce the configuration values of all network parameters and air interface parameter configuration values in the indoor base station. That is, the parameters of the fourth parameter set are used as indexes to implement the above-mentioned second parameter set. The network parameter values are used as the real network field network parameter configuration, and the air interface parameter values of the third parameter set are used as the real network field air interface parameter configuration.

Analog field configuration playback is strongly related to channel accuracy and computational volume. This method defines two channel quantization accuracies and two computational volumes.

The channel quantization accuracy includes the RSRP in the third parameter set and the collection accuracy of the fourth parameter set, where the RSRP unit is (dB) and the collection accuracy unit is (meter).

The amount of operation is related to the range of the target parameter set. The different functions of the parameters are analyzed below to increase and reduce the amount of operation. The target parameter set 1 can reproduce 90% of the field configurations, and the target parameter set 2 can reproduce 80% of the field configurations, which can greatly save time.

The following analyzes which parameters can have a small impact on the field configuration while taking up a lot of calculations.

This method takes into account that the manufacturer's private parameters in the second parameter set are generally not open to modification permissions, and the redundant parameters have little impact on the characteristics, and the private parameters and redundant parameters account for more than 70% of the calculation amount. In order to achieve better parameters for simulating outdoor fields, the preferred parameter combinations are the network static parameters in the second parameter set, the communication characteristic parameters in the second parameter set (excluding private parameters and redundant parameters), and the third parameter set. Air interface parameters.

Figure 7 is a schematic diagram of an embodiment of a terminal side device. The embodiments of this application also provide a device for obtaining network working parameters on the terminal side, which is used to implement the method described in any one of the embodiments of the first aspect of this application.

In order to implement the above technical solution, this application proposes a terminal-side device 500 that 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 configured to receive configuration information; obtain the network data and/or air interface data of the wireless communication system according to the target parameter set; in one embodiment, it is also configured to receive the second indication information. The second instruction information is used to instruct the terminal side device to collect network data and/or air interface data according to the target parameter set.

The first determination module is used to determine configuration information; determine the target parameter set according to the configuration information;

The first output module is configured to send 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; and is also used to output the Network data and/or air interface data.

The specific methods for realizing the functions of the first output module, the first determination module, and the first receiving module are as described in each method embodiment of this application, and will not be described again here.

The terminal-side device mentioned in this application may refer to user equipment (UE), personal mobile terminal, smart terminal, mobile phone, computer with communication function, or a system that provides services for the above devices, or a system that provides services for the above devices. Any system, subsystem, module, circuit, chip or software running device for receiving, sending, identifying, and processing information.

Figure 8 is a schematic diagram of an embodiment of drive test equipment. The embodiment of this application also proposes a network working parameter acquisition device for drive test equipment, which is used to implement the method described in any one of the embodiments of the first aspect of this application.

In order to implement the above technical solution, this application proposes a drive test device 800 that 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 input module, in response to the terminal side device, acquires the network data and/or air interface data of the wireless communication system according to the target parameter set;

The second determination module is used to determine the target parameter set; determine the configuration information according to the target parameter set;

The second output module is configured to send configuration information; and send second instruction information to the terminal side device, where the second instruction information is used to instruct the terminal side device to collect network data and/or air interface data according to the target parameter set.

The specific methods for realizing the functions of the second output module, the second determination module, and the second input module are as described in each method embodiment of this application, and will not be described again here.

Figure 9 is a schematic diagram of an embodiment of network side equipment. The embodiment of this application also proposes a network working parameter acquisition device on the network side, which is used to implement the method described in any one of the embodiments of the first aspect of this application,

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

The third input module is used to receive configuration information; read network data and/or air interface data according to the target parameter set;

If the network side device is a device in the current network operating state, the network data and air interface data of the network side device may be collected in response to the first indication information.

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

The third determination module is used to determine configuration information; determine the target parameter set according to the configuration information;

In one embodiment, the network side device is a device in the running state of the existing network. In response to the first indication information, it sends the collected network data and/or air interface data to the terminal device that issued the first indication information. The third output module is used to send the collected network data and/or air interface data, using the data of the fourth parameter set as an index.

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

The specific methods for realizing the functions of the third output module, the third determination module, and the third input module are as described in each method embodiment of this application, and will not be described again here.

The network-side equipment described in this application may refer to base station facilities, network-side equipment or servers connected to the base station, or a system that provides services for the above-mentioned devices, or that provides information reception, transmission, identification, and processing for the above-mentioned devices. Any system, subsystem, module, circuit, chip or software execution device.

Figure 10 shows a schematic structural diagram of a network-side device according to another embodiment of the present invention. As shown in the figure, the network side device 600 includes a processor 601, a wireless interface 602, and a memory 603. Wherein, the wireless interface may be multiple components, that is, including a transmitter and a receiver, providing units for communicating with various other devices on a transmission medium. The wireless interface implements a communication function with the terminal-side device, processes wireless signals through receiving and transmitting devices, and the data carried by the signals communicates with the memory or processor via an internal bus structure. The memory 603 contains a computer program for executing any embodiment of the present application, and the computer program is run or changed on the processor 601. When the memory, processor, and 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 will not be described again here.

Figure 11 is a block diagram of a terminal-side device according to another embodiment of the present invention. The terminal side device 700 includes 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 through a bus system. Bus systems are used to implement connection communications between these components. The bus system includes data bus, power bus, control bus and status signal bus.

User interface 703 may include a display, keyboard, or pointing device, such as a mouse, trackball, touch pad, or touch screen.

Memory 702 stores executable modules or data structures. The memory may store operating systems and application programs. Among them, the operating system includes various system programs, such as framework layer, core library layer, driver layer, etc., which are used to implement various basic services and process hardware-based tasks. Application programs include various applications, such as media players, browsers, etc., used to implement various application services.

In this embodiment of the present invention, the memory 702 contains a computer program for executing any embodiment of the present application, and the computer program is run or changed on the processor 701 .

The memory 702 contains a computer-readable storage medium. The processor 701 reads the information in the memory 702 and completes the steps of the above method in combination with its hardware. Specifically, a computer program is stored on the computer-readable storage medium. When the computer program is executed by the processor 701, the steps of the method embodiments described in any of the above embodiments are implemented.

The processor 701 may be an integrated circuit chip with signal processing capabilities. During the implementation process, each step of the method of the present application can be completed by instructions in the form of hardware integrated logic circuits or software in the 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, or a discrete hardware component. Each method, step and logical block diagram disclosed in the embodiment of the present invention can be implemented or executed. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc. The steps of the method disclosed in conjunction with the embodiments of the present invention can be directly implemented by a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor.

Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. In a typical configuration, the device of the present application includes one or more processors (CPUs), input/output user interfaces, network interfaces, and memory.

Furthermore, the 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, etc.) having computer-usable program code embodied therein.

Therefore, this application also proposes a computer-readable medium. A computer program is stored on the computer-readable medium. When the computer program is executed by a processor, the steps of the method described in any embodiment of the application are implemented. For example, the memory 603, 702 of the present invention may include non-permanent memory in a computer-readable medium, random access memory (RAM) and/or non-volatile memory, such as read-only memory (ROM) or flash memory ( flash RAM).

Based on the embodiments of the above-mentioned device of the present application, the present application also proposes a network working parameter acquisition system, which includes at least one network working parameter acquisition device as described in the fourth embodiment of the present application, and also includes at least one network working parameter acquisition device as described in the fourth aspect embodiment of the present application. The network working parameter obtaining device described in the embodiment of the second aspect and/or at least one network working parameter obtaining device described in the third embodiment of the present application.

It should be noted that the specific mobile communication technology described in the present invention is not limited and can be WCDMA, CDMA2000, TD-SCDMA, WiMAX, LTE/LTE-A, LAA, MuLTEfire and the fifth and sixth generations that may appear in the future. , Nth generation mobile communication technology.

The terminal described in the present invention refers to a terminal-side product that can support the communication protocol of the land mobile communication system, a specially designed communication modem module (Wireless Modem), which can be integrated by various types of terminal forms such as mobile phones, tablet computers, and data cards. Thus completing the communication function.

For convenience of description, the fourth generation mobile communication system LTE/LTE-A and its derivative MulteFire are used as an example. The mobile communication terminal can be represented as UE (User Equipment), and the access equipment on the network side can be represented as a base station or access device. point.

It should also be noted that the terms "comprises," "comprises," or any other variation thereof are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements not only includes those elements, but also includes Other elements are not expressly listed or are inherent to the process, method, article or equipment. Without further limitation, an element defined by the statement "comprises a..." does not exclude the presence of additional identical elements in a process, method, article, or device that includes the stated element.

It should also be noted that the "first", "second"... in this application are used to distinguish multiple objects with the same name. Unless otherwise specified, they have no meaning of order or size.

The above descriptions are only examples of the present application and are not intended to limit the present application. To those skilled in the art, various modifications and variations may be made to this application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of this application shall be included in the scope of the claims of this application.

Claims (17)

1. A method for processing network working parameters, used in a wireless communication system, which is characterized in that it includes the following steps: Determine first configuration information, the first configuration information is used to indicate 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 Parameter set or fourth parameter set; The first parameter set includes any of a second parameter set, a third parameter set and a fourth parameter set, the second parameter set includes network parameters, the third parameter set includes air interface parameters, and the fourth parameter The collection contains collection condition parameters; Network data and/or air interface data of the wireless communication system are obtained according to the target parameter set, and these data are used to control the network side device to simulate the external field playback target channel. 2. The network operating parameter processing method according to claim 1, characterized in that, The first configuration information includes There are three kinds of values, and the target parameter set corresponding to each value is preset. 3. The network operating parameter processing method according to claim 1, characterized in that, Determine second configuration information. The second configuration information is used to identify the standard type corresponding to the target channel. The standard type is 3GPP, METIS, MiWEBA, ITU, COST2100, IEEE 802.11, NYU WIRELESS, IMT-2020, IMT -Any one in 2030. 4. The network operating parameter processing method according to claim 1, characterized in that, 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 redundant parameters; Network static parameters are the basic parameters of network configuration. The network static parameters include any of the operator, country code (MCC), network code (MNC), longitude, latitude, base station ID, cell ID, and subcarrier spacing; The communication characteristic parameters refer to the characteristic functions of the base station in communication, including any combination of the following: neighbor cell information, 4/5G interoperability, NR power parameters, NR mobility management, discontinuous reception (DRX) power saving parameters Configuration, NR random access, timer, beam management, physical resource configuration, layer 2 parameters, paging class; The private parameters are parameters with fixed parameter values; The redundant parameters refer to parameters in the network parameters other than the above-mentioned network static parameters, communication characteristic parameters, and private parameters. 5. The network operating parameter processing method according to claim 4, characterized in that, The communication characteristic parameters also include at least one enabling parameter, and the enabling parameter is used to determine whether a configuration parameter corresponding to at least one of the communication characteristic parameters is valid. 6. The network operating parameter processing method according to claim 1, characterized in that, The target parameter set includes a third parameter set subset, and the third parameter set subset includes air interface parameters collected by the drive test software, including at least one of terminal received signal strength (RSRP) and received signal quality (SINR). 7. The network operating parameter processing method according to claim 1, characterized in that, The target parameter set includes a fourth parameter set subset, and the fourth parameter set subset includes at least the collection scene during the data collection process, collection accuracy, collection time, terminal model used for collection, chip type, and terminal mobility speed. One item. 8. The network operating parameter processing method according to claim 1, characterized in that: When generating a target channel, parameters that do not belong to the target parameter set are set to empty. 9. The network operating parameter processing method according to claim 1, characterized in that, The first configuration information includes a first value or a second value. The first value corresponds to the channel of the first type of protocol parameter. The second value corresponds to the channel of the second type of protocol parameter. The first value corresponds to the channel of the second type of protocol parameter. The second value is different, and the first type protocol is different from the second type protocol. 10. The network operating parameter processing method according to claim 1, characterized in that: The first configuration information includes a third value or a fourth value, the third value corresponds to the first quantization accuracy of channel reconstruction, the fourth value corresponds to the second quantization accuracy of channel reconstruction, and the third value corresponds to the second quantization accuracy of channel reconstruction. The value is different from the fourth value, and the first quantization precision is different from the second quantization precision. 11. The network operating parameter processing method according to claim 1, characterized in that: The first configuration information includes a fifth value or a sixth value, the fifth value corresponds to the first computational complexity of channel reconstruction, the sixth value corresponds to the second computational complexity of channel reconstruction, and the fifth value corresponds to the second computational 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 working parameter acquisition device, used to implement the method described in any one of claims 1 to 11, characterized in that it includes: The first input module is used to receive configuration information; obtain network data and/or air interface data of the wireless communication system according to the target parameter set; The first determination module is used to determine configuration information; determine the target parameter set according to the configuration information; The first output module is configured to send 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; and is also used to output the Network data and/or air interface data. 13. A network working parameter acquisition device, used to implement the method described in any one of claims 1 to 11, characterized in that it includes: The second input module, in response to the terminal side device, acquires the network data and/or air interface data of the wireless communication system according to the target parameter set; The second determination module is used to determine the target parameter set; determine the configuration information according to the target parameter set; The second output module is configured to send configuration information; and send second instruction information to the terminal side device, where the second instruction information is used to instruct the terminal side device to collect network data and/or air interface data according to the target parameter set. 14. A network working parameter acquisition device, used to implement the method described in any one of claims 1 to 11, characterized in that it includes: The third input module is used to receive configuration information; read network data and/or air interface data according to the target parameter set; The third determination module is used to determine configuration information; determine the target parameter set according to the configuration information; The third output module is used to simulate field playback according to the network data and/or air interface data. 15. A communication device, characterized in that it includes: a memory, a processor, and a computer program stored on the memory and executable on the processor. When the computer program is executed by the processor, the following is implemented: The steps of the method according to any one of claims 1 to 11. 16. A computer-readable medium, the computer-readable medium stores a computer program, and when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 11 are implemented. 17. A system for obtaining network operating parameters, comprising at least one network operating parameter obtaining device as claimed in claim 14, and further comprising at least one network operating parameter obtaining device as claimed in claim 12 and/or at least one The network operating parameter acquisition device according to claim 13.