WO2015017973A1

WO2015017973A1 - Data transmission method and apparatus

Info

Publication number: WO2015017973A1
Application number: PCT/CN2013/080878
Authority: WO
Inventors: 陈啸; 杨利
Original assignee: 华为技术有限公司
Priority date: 2013-08-06
Filing date: 2013-08-06
Publication date: 2015-02-12
Also published as: CN105284142A

Abstract

The present invention relates to a data transmission method and a data transmission apparatus. The method comprises: a data collection entity receiving statistic indication information sent by a previous-level network element, the statistic indication being used to instruct the data collection entity to report statistic data to a target network element; the data collection entity collecting data, making statistics on the collected data according to the statistic indication information, and extracting a data distribution rule of the data to form statistic data, the statistic data comprising a data distribution type and a parameter value corresponding to a parameter of the distribution type; and the data collection entity sending the statistic data to the target network element. The present invention can avoid transmission of a large amount of original data during data transmission in the network, thereby achieving the purpose of data compression, and reducing the amount of data transmission in the network.

Description

Data transmission method and device

Technical field

The present invention relates to the field of communications technologies, and in particular, to a data transmission method and apparatus. Background technique

In today's wireless communication systems, operators need to process massive amounts of data during the network planning, deployment, optimization, and maintenance phases. For example, in the optimization and maintenance phase, in order to ensure the coverage performance of the network, the parameters of the network are often collected by way of road test, and then processed offline to discover network problems. The Minimization of Drive Tests (MDT) technology in the 3rd Generation Partnership Project (3GPP) adopts a method of configuring user equipment (User Equipment, UE) to report measurement information on the network side, collecting a large number of Wirelessly measure information to reduce the cycle of discovery problems and increase user satisfaction.

The MDT measurement can be performed on the UE side, and the UE performs measurement according to the network side configuration, and reports the measurement result to the Radio Access Network (RAN) node, and the RAN node reports the result to the Trace Collection Entity (TCE). Perform centralized processing. The MDT measurement can also be performed at the RAN node. The RAN node measures according to the configuration and reports the result to the TCE for centralized processing. The RAN node may be a base station eNB/NB or a base station controller.

In the existing MDT measurement technology, TCE, as a centralized processing unit, needs to store a large amount of data transmitted by the RAN node for subsequent processing. In this way, the storage and transmission of massive data poses a serious challenge to the network. Summary of the invention

The object of the present invention is to provide a data transmission method and device, which can avoid transmitting a large amount of original data in a data transmission process of a network, thereby achieving the purpose of data compression and reducing the number of data in the network. The amount of data transmission reduces the requirements for the storage and processing capabilities of the target network element.

To achieve the above object, a first aspect of the present invention provides a data transmission method, the method comprising:

The data collection entity receives the statistical indication information sent by the upper-level network element, where the statistical indication information is used to instruct the data collection entity to report the statistical data to the target network element.

The data collection entity collects data, and performs statistics on the collected data according to the statistical indication information, and extracts data distribution rules of the data to form statistical data, where the statistical data includes a data distribution type, and the The parameter value corresponding to the parameter of the distribution type;

The data collection entity sends the statistical data to the target network element.

With reference to the first aspect, in a first possible implementation manner of the first aspect, the statistics indication information further includes: a period of collecting data;

The collecting the collected data according to the statistical indication information includes: performing, according to the period of collecting the data in the statistical indication information, the data collected in a period of collecting the data statistics.

With reference to the first possible implementation manner of the first aspect, in a second possible implementation manner of the first aspect, the extracting the data distribution rule of the statistical data includes:

Fitting data in a period in which the data is collected, finding a distribution type that best matches the data, and calculating a parameter value corresponding to the parameter of the distribution type;

The data distribution rule includes a distribution type of the data, and a parameter value corresponding to the parameter of the distribution type.

With the first aspect or the first or second possible implementation manner of the first aspect, in the third possible implementation manner of the first aspect, the statistical indication information further includes: mixed reporting indication information;

And the data collecting entity sends the collected data to the target network according to the mixed reporting indication information, and the data collecting entity sends the collected data and the statistical data to the target network according to the mixed reporting indication information. yuan. With reference to the first aspect, or any one of the first to the third aspect of the first aspect, in the fourth possible implementation manner of the first aspect, the statistical indication information further includes: an index and a distribution Correspondence relationship;

The statistic data specifically includes: an index value corresponding to the data distribution type determined according to the correspondence between the index and the distribution, and a parameter value corresponding to the parameter of the distribution type;

The data collecting entity sends the statistics to the target network element, and the method includes: sending, by the data collecting entity, an index value corresponding to a distribution type of the data and a parameter value corresponding to the parameter of the distribution type to The target network element.

With reference to the first aspect, or any one of the first to fourth aspects of the first aspect, in a fifth possible implementation manner of the first aspect, the data collecting entity collects data, and specifically includes:

The data collection entity starts to minimize a drive test MDT session, selects a user equipment UE, and sends an MDT configuration message to the UE;

The data collection entity receives the measurement data returned by the UE and saves it.

In conjunction with the first aspect or any one of the first to fifth embodiments of the first aspect, in a sixth possible implementation of the first aspect,

The upper-level network element includes: a base station controller BSC, a network element management system EMS, a hierarchical service system HSS, or a mobility management entity MME.

With reference to the first aspect, or any one of the first to fifth embodiments of the first aspect, in a seventh possible implementation of the first aspect, the data collecting entity comprises a radio access network RAN node , wireless gateway or network element management system EMS.

With reference to the first aspect, or any one of the first to fifth aspects of the first aspect, in the eighth possible implementation manner of the first aspect, the target network element includes a tracking collection entity TCE or data Acquisition server.

In a second aspect, the present invention further provides a data collection entity, where the data collection entity includes: a receiving module, a processing module, and a sending module; The receiving module is configured to receive the statistical indication information sent by the upper-level network element, where the statistical indication information is used to instruct the data collection entity to report the statistical data to the target network element;

The processing module is configured to collect data, perform statistics on the collected data according to the statistical indication information, and extract data distribution rules of the data to form statistical data;

The sending module is configured to send the statistic data to the target network element, where the statistic data includes a data distribution type, and a parameter value corresponding to the parameter of the distribution type.

With reference to the second aspect, in a first possible implementation manner of the second aspect, the statistics indication information further includes: a period of collecting data;

The processing module is configured to perform statistics on the collected data according to the statistical indication information, and is specifically configured to collect, according to the period of collecting the data in the statistical indication information, during a period of collecting the data. The data is counted.

With reference to the first possible implementation manner of the second aspect, in a second possible implementation manner of the second aspect, the processing module is configured to extract a data distribution rule of the statistic data, specifically: the processing module For fitting data in a period of one of the collected data, finding a distribution type that best matches the data, and calculating a parameter value corresponding to the parameter of the distribution type; wherein, the data distribution rule includes The distribution type of the data, and the parameter value corresponding to the parameter of the distribution type.

With the second aspect or the first or second possible implementation manner of the second aspect, in the third possible implementation manner of the second aspect, the statistical indication information further includes: mixed reporting indication information;

And the processing module sends the collected data and the statistical data to the target network element by using the sending module according to the hybrid reporting indication information.

With reference to the second aspect, or any one of the first to the third aspect of the second aspect, in the fourth possible implementation manner of the second aspect, the statistical indication information further includes: an index and a distribution Correspondence relationship;

The statistic data specifically includes: an index value corresponding to the data distribution type determined according to the correspondence between the index and the distribution, and a parameter value corresponding to the parameter of the distribution type; The sending module is specifically configured to send an index value corresponding to the distribution type of the data and a parameter value corresponding to the parameter of the distribution type to the target network element.

With reference to the second aspect, or any one of the first to fourth embodiments of the second aspect, in a fifth possible implementation manner of the second aspect, the processing module is configured to collect data, specifically: The processing module is configured to initiate a minimization of a drive test MDT session, select a user equipment UE, and send, by using the sending module, an MDT configuration message to the UE; and, by using the receiving module, receive measurement data returned by the UE, and save.

With reference to the second aspect, or any one of the first to fifth embodiments of the second aspect, in a sixth possible implementation of the second aspect, the data collecting entity comprises a radio access network RAN node , wireless gateway or network element management system EMS.

With reference to the second aspect, or any one of the first to fifth embodiments of the second aspect, in a seventh possible implementation manner of the second aspect, the upper network element includes: a base station controller BSC, The element management system EMS, the hierarchical service system HSS or the mobility management entity MME.

With reference to the second aspect, or any one of the first to fifth embodiments of the second aspect, in the eighth possible implementation manner of the second aspect, the target network element includes a tracking collection entity TCE or data Acquisition server.

In a third aspect, the present invention further provides a data collection entity, where the data collection entity includes: a processor;

Memory

a communication interface, where the communication interface is used to interact with a higher-level network element, a target network element, or a user equipment;

An application physically stored in the memory, the application comprising instructions for causing the processor and the data collection entity to perform the following process:

Receiving the statistical indication information sent by the upper-level network element, where the statistical indication information is used to instruct the data collection entity to report the statistical data to the target network element;

Collecting data, and collecting statistics on the collected data according to the statistical indication information, and Taking the data distribution rule of the data to form statistical data, where the statistical data includes a data distribution type, and a parameter value corresponding to the parameter of the distribution type;

Sending the statistical data to the target network element.

With reference to the third aspect, in a first possible implementation manner of the third aspect, the statistics indication information further includes: a period of collecting data;

The application includes instructions for causing the processor and the data collection entity to perform statistics on the collected data according to the statistical indication information, and specifically executing the following process: according to the statistical indication information The period in which the data is collected is counted for the data collected during one cycle of collecting the data.

With reference to the first possible implementation manner of the third aspect, in a second possible implementation manner of the third aspect, the application includes, by the processor and the data collecting entity, performing the extracting the statistics When the data is distributed, the following instructions are executed:

With the third aspect or the first or second possible implementation manner of the third aspect, in a third possible implementation manner of the third aspect, the statistical indication information further includes: a mixed reporting indication message;

The application includes instructions for causing the processor and the data collection entity to perform the following process when transmitting the statistical data to the target network element:

And transmitting the collected data and the statistical data to the target network element according to the hybrid reporting indication information.

With reference to the third aspect, or any one of the first to the third aspect of the third aspect, in the fourth possible implementation manner of the third aspect, the statistical indication information further includes: an index and a distribution Correspondence relationship; The statistic data specifically includes: an index value corresponding to the data distribution type determined according to the correspondence between the index and the distribution, and a parameter value corresponding to the parameter of the distribution type;

The application includes instructions for causing the processor and the data collection entity to specifically perform the following process when performing the sending of the statistical data to the target network element:

And sending the index value corresponding to the distribution type of the data and the parameter value corresponding to the parameter of the distribution type to the target network element.

With reference to the third aspect, or any one of the first to fourth aspects of the third aspect, in a fifth possible implementation of the third aspect, the application program includes And the data collection entity performs the following process instructions when performing data collection:

Initiating a minimization drive test MDT session, selecting a user equipment UE, and sending an MDT configuration message to the UE;

The measurement data returned by the UE is received and saved.

With reference to the third aspect, or any one of the first to fifth aspects of the third aspect, in a sixth possible implementation manner of the third aspect, the data collecting entity comprises a radio access network RAN node , wireless gateway or network element management system EMS.

With reference to the third aspect, or any one of the first to fifth aspects of the third aspect, in a seventh possible implementation manner of the third aspect, the upper network element includes: a base station controller BSC, The element management system EMS, the hierarchical service system HSS or the mobility management entity MME.

With reference to the third aspect, or any one of the first to fifth aspects of the third aspect, in the eighth possible implementation manner of the third aspect, the target network element includes a tracking collection entity TCE or data Acquisition server.

The data transmission method and device provided by the present invention extracts the statistical rule according to the configuration message of the upper-level network element, and reports the statistical data to the target network element, thereby avoiding transmitting a large amount of original data during the data transmission process of the network, and reaching the data. The purpose of compression reduces the amount of data transmission in the network and reduces the storage and processing requirements of the target network element. BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are incorporated in FIG Further drawings can also be obtained from these drawings.

1 is a structural diagram of a data transmission system according to an embodiment of the present invention;

2 is a structural diagram of a data acquisition system of a wireless network according to an embodiment of the present invention; FIG. 3 is a flowchart of a data transmission method according to Embodiment 1 of the present invention;

4 is a schematic diagram of a data distribution rule for extracting statistical data according to Embodiment 1 of the present invention; FIG. 5 is a schematic structural diagram of another data transmission system according to an embodiment of the present invention; FIG. a schematic diagram of the structure of the collection entity;

FIG. 7 is a schematic structural diagram of a data collection entity according to Embodiment 3 of the present invention. detailed description

The technical solution of the present invention will be further described in detail below through the accompanying drawings and embodiments. The data transmission method and device provided by the present invention can be used in a massive data transmission process in a network, in particular, where data compression needs to be performed on the transmitted data, for example, an operator needs to perform network planning, deployment, optimization, and maintenance phases. Handling the massive transfer process of minimizing drive test MDT data. Through MDT technology, operators need to collect various operational logs, call history records (CHR) / measurement reports (Measurement Repor t, MR) and other data for network analysis, evaluation, etc., for communication networks. Daily maintenance and analysis. The present invention takes MDT data transmission as an example, but does not limit the invention thereto.

1 is a structural diagram of a data transmission system of a wireless network according to an embodiment of the present invention. As shown in FIG. 1, the system includes: a data collection entity 1, a user equipment UE 2, an upper network element 3, and a target network element 4.

In this embodiment, the MDT measurement is performed on the user equipment UE 2, and the user equipment UE 2 is performed according to the network. The configuration of the data collection entity 1 and the upper network element 3 are measured, and the measured data is reported to the data collection entity 1. The data collection entity 1 then reports the data to the target network element 4 for centralized processing.

The data collection entity 1 may be a radio access network RAN node, a wireless gateway, an element management system (EMS), such as an evolved base station eNB, a base station NB, or a radio network controller (Radio Network Controller) , RNC) and so on. The user equipment UE 2 may be a mobile terminal such as a mobile phone or the like. The upper-level network element 3 includes: a base station controller (BSC), a network element management system (EMS), a hierarchical service system (Hierarchica l Service System, HSS), or a mobility management entity (Mobi le Management Ent). i ty, MME). The target network element 4 includes a tracking collection entity TCE or a data collection server. The network element management system EMS can be used as a data collection entity. When a downstream node of the network element management system (such as a RAN node or a wireless gateway) is used as a data collection entity, the network element management system can serve as a higher-level network element of the data collection entity. .

Specifically, FIG. 2 is a structural diagram of a data collection system of a wireless network according to an embodiment of the present invention, including a base station 11, a terminal 21, a base station controller 31, a data collection server 41, and a cloud data center 42.

Each base station 11 represents a cellular network, and the user using the terminal 21 is in a certain cellular network. When the user needs to communicate, the terminal 21 and the base station 11 complete the processes of authentication, authentication, etc., and then the signaling message sent by the user is transmitted to the receiver on the communication bearer network through the base station 11. In Fig. 2, the terminal 21 is kept in communication with the base station 11 at any time, and the generated CHR/MR data is stored in the base station controller 31. The base station controller 31 transmits the CHR/MR data to the data collection server 41 as needed, and the data collection server 41 uploads the CHR/MR data to the cloud data center 42 online/offline according to the needs of the business analysis, and the cloud data. The center 42 is capable of providing value added services based on CHR/MR data.

The data transmission method and device provided by the embodiments of the present invention are applicable to an MDT data transmission and collection system, such as the above data transmission and collection system, which avoids transmission during data transmission of the network. A large amount of raw data achieves the purpose of data compression and reduces the amount of data transmission in the network. Embodiment 1

FIG. 3 is a flowchart of a data transmission method according to the foregoing data transmission system according to the embodiment. As shown in FIG. 3, the data transmission method of the present invention includes:

The S10 data collection entity receives the configuration message sent by the upper-level network element.

Due to the final processing of massive data by the target network element, part of it is to extract statistical rules from a certain measurement parameter (such as data rate, interference), and then analyze the statistical data to discover possible problems of the network. For example, the operator collects the data rate of a certain cell. By analyzing the statistics of the mean value and the rate interval of 90% of users, it can be found whether the cell has a fault and whether capacity optimization is needed. Therefore, for the measurement parameters of the statistical rule processing in the target network element, the data of the measurement parameters may be pre-processed in the data collection, and only the storage and transmission of the previous data are stored and transmitted. Data, to avoid the transmission of large amounts of raw data in the network.

The configuration information may include statistical indication information. The statistics indication information is used to instruct the data collection entity to report statistics to the target network element. The statistic information can be transmitted in the configuration message, and can be used as one or more new fields in the configuration message, or as a specific value of one or more fields in the configuration message. For example, a field value is If it is not empty, it indicates that the statistics need to be reported. Or, if a field value is 1, it indicates that statistics need to be reported. A field value is 2, indicating that the original data is reported.

The upper-level network element of the data collection entity performs message configuration according to different processing manners of the measurement parameters in the target network element, and sends a configuration message (which may include statistical indication information) to the data collection entity. If the configuration information carries the statistical indication information, the data collection entity reports the statistics to the target network element. If there is no statistical indication information, the data collection entity reports the original data to the target network element. That is, the statistical indication information is used to indicate that the data collection entity reports the original data or the statistical data to the upper-level network element for a certain measurement parameter.

Optionally, the statistics indication information may further include: collecting a period of the data, to the period The data within the data extraction law.

Optionally, the statistics indication information may further include: mixed reporting indication information, configured to instruct the data collection entity to report the statistical data and the partial original data to the target network element. The mixed report indication information includes indication information indicating which original data needs to be reported, so that when the data collection entity reports data to the target network element, in addition to reporting the data distribution law (ie, statistical data), the original data of a certain interval is also needed. Reported. For example, assuming that the data collected by the data collection entity is interference data, in addition to reporting the data distribution law, the operator may also care about the highest 5% interference corresponding measurement value, in order to effectively reduce the interference according to these measurement values. At this time, in addition to the data distribution law of the data, it is also necessary to report the original data corresponding to the strongest 5% interference measurement value.

Optionally, the statistics indication information may further include: a correspondence between an index and a distribution. The correspondence between the index and the distribution is a relationship between a predefined data distribution rule and an index identifier corresponding to the data distribution rule, thereby further reducing data transmission overhead. For example, if the corresponding relationship is { ( 0 , Gaus s ian distribution), (1 , Poi s son distribution) ... } , when the data collection entity reports 0 to the target network element, it indicates that the statistical data obeys the Gaus sian distribution. Of course, the correspondence between the index and the distribution may be pre-configured in the data collection entity, and the corresponding relationship between the index and the distribution may not be included in the statistical indication message sent by the upper-level network element to the data collection entity.

5102. Determine, according to the configuration message, a data type that is reported by the data collection entity to the target network element.

If the configuration information includes the statistical indication information, the data collection entity reports the statistical data to the target network element, and the process proceeds to S103. If the configuration information does not include the statistical indication information, the data collection entity indicates that the data collection entity If the target network element reports the original data, the process proceeds to S105.

5103. The data collection entity collects data, and performs statistics on the collected data according to the statistical indication information in the configuration message, and extracts data distribution rules of the data to form statistical data.

The statistical data includes a data distribution type, and a parameter value corresponding to the parameter of the distribution type. The data collection entity collects the data, and the method includes: the data collection entity starts to minimize the drive test MDT session, selects the user equipment UE, and sends the MDT configuration information to the UE; the data collection entity receives the return of the UE Measure the data and save it.

If the statistical indication information includes the period of collecting the data, the data collecting entity performs statistics on the data collected in a period of one of the collected data according to the period of collecting the data, and extracts the statistics. The data distribution law of the data forms statistical data.

Extracting the data distribution rule of the statistical data, including:

The data in the period of one of the collected data is fitted to find the distribution type that best matches the data, and the parameter values corresponding to the parameters of the distribution type are calculated. The data distribution rule includes a parameter type corresponding to a distribution type of the data and a parameter of a distribution type.

The types of distribution include, but are not limited to, Gaussian Gaussian distribution, Poisson Po i sson distribution, Rayleigh Rayl eigh distribution, Rice Rice distribution, logarithmic logar i thmic distribution, uniform Uniform distribution, and the like.

For example, if the data in a collected data period satisfies the Gaussian distribution, the parameters corresponding to the Gaussian distribution are derived. For the Gaus sian distribution, the corresponding parameters are the mean and the variance, which are the parameters of the distribution type. If the measurement parameter is information that changes over time, the distribution type of the data will be a two-dimensional data distribution type. Otherwise, only one-dimensional data distribution type can be calculated.

As shown in FIG. 4, the data table on the left side of FIG. 4 is the measurement parameter and parameter value of userl, user ² ... at time t1, ..., and the right side is a two-dimensional distribution or a one-dimensional distribution extracted by the data table, respectively.

For the measured raw data, from the possible data distribution types (such as Gaussian, Poisson, etc.) and the possible parameter combinations under the data distribution type, find a data distribution type that satisfies the optimal criterion and corresponding The parameter, as the statistics sent to the target network element. The optimal criteria can be referenced to prior art data fitting techniques, such as the principle of minimum mean square error, minimizing the principle of maximum error, and the like.

S104. The data collection entity sends the statistics to the target network element. Since only the statistical data and data distribution rules are sent to the target network element, or only part of the original data is needed to the target network element, the storage and transmission of data in the network can be effectively reduced.

Optionally, the statistics sent by the data collection entity may be based on the corresponding relationship between the index and the distribution, and the data distribution type is represented by an index value corresponding to the data distribution type, and the statistical data includes: An index value corresponding to the data distribution type determined by the correspondence between the index and the distribution, and a parameter value corresponding to the parameter of the distribution type. When the data collection entity sends the statistics to the target network element, the index value corresponding to the distribution type of the data and the parameter value corresponding to the parameter of the distribution type are sent to the target network element. Thereby further reducing the amount of data transmitted.

After receiving the statistical data sent by the data collection entity, the target network element determines, by using the index value in the statistical data, the data collection entity according to the correspondence between the index and the distribution. The data distribution law of the data.

And the data collection entity sends the collected data and the statistical data to the target network element according to the hybrid reporting indication information.

For example, if the mixed indication indication information in the statistical indication information is the original data of the interference measurement value reported by 5%, the data collection entity uses the strongest 5% interference measurement value in the collected data as the reported original data, and The statistics are sent to the target network element together.

S1 05. The data collection entity collects data, and sends the collected data to the target network element. The data collection entity collects the data, and the method includes: the data collection entity starts to minimize the drive test MDT session, selects the user equipment UE, and sends the MDT configuration information to the UE; the data collection entity receives the return of the UE Measure the data and save it.

It should be noted that, the upper network element may include multiple network element entities, and FIG. 5 is a schematic structural diagram of another data transmission system according to an embodiment of the present invention. As shown in FIG. 5, the system includes: network element management. System EMS 501, Hierarchical Service System HSS 502, Mobility Management Entity MME 5 03, Evolved Base Station eNB 504, User Equipment UE 505 and Tracking Collection Entity TCE 506. For the evolved base station 504 as a data collection entity, its upper entity includes a network element management system 501, a hierarchical service system 502, and a mobility management entity 503, and the target network element is a tracking collection entity 506. The network element management system 501 configures the configuration message according to different processing manners of the measurement parameters by the tracking and collecting entity 506, and sends the configuration message to the hierarchical service system 502, and forwards the evolved base station 504 through the hierarchical service system 502 and the mobility management entity 503. The hierarchical service system 502 and the mobility management entity 503 do not process the configuration message, but only perform the process of storing and forwarding. The method for transmitting between the evolved base station 504 and the user equipment 505 and the tracking and collecting entity 506 can be referred to the description in the foregoing embodiment, and details are not described herein again.

According to the data transmission method provided by the embodiment of the present invention, the upper-level network element of the data collection entity forms a configuration message according to the processing characteristics of some measurement reports by the data processing unit (ie, the target network element) in the network, and uses a node in the network as data. The collecting entity extracts the statistical rules of some measured parameters according to the configuration message of the upper-level network element, and reports the statistical data to the data processing unit (the target network element), thereby avoiding transmitting a large amount of original data during the data transmission process of the network, and achieving The purpose of data compression is to reduce the amount of data transmission in the network and to reduce the storage and processing requirements of the target network element.

The above is a detailed description of the data transmission method provided by the present invention. The data collection entity provided by the present invention will be described in detail below.

Embodiment 2

FIG. 6 is a schematic structural diagram of a data collection entity provided by this embodiment. As shown in FIG. 6, the data collection entity of the present invention includes: a receiving module 601, a processing module 602, and a sending module 603.

The receiving module 601 is configured to receive a configuration message sent by the upper-level network element.

The configuration information may include statistical indication information. The statistics indication information is used to instruct the data collection entity to report statistics to the target network element. The statistic information can be transmitted in the configuration message, and can be used as one or more new fields in the configuration message, or as a specific value of one or more fields in the configuration message. For example, a field value is If it is not empty, it means that the statistics need to be reported. Or, if a field value is 1, it means that the statistics need to be reported. The value of a field is 2. Indicates that the original data is reported.

The upper-level network element of the data collection entity performs message configuration according to different processing manners of the measurement parameters in the target network element, and sends a configuration message (which may include statistical indication information) to the data collection entity. The receiving module 601 of the data collection entity receives the configuration message. If the configuration information is carried in the configuration information, the data collection entity reports the statistics to the target network element. If there is no statistical indication information, the data collection entity reports the original data to the target network element. That is, the statistical indication information is used to indicate that the data collection entity reports the original data or the statistical data to the upper-level network element for a certain measurement parameter.

Optionally, the statistical indication information received by the receiving module 601 may further include: collecting a period of the data, to extract a data distribution rule for the data in the period.

Optionally, the statistics indication information received by the receiving module 601 may further include: a hybrid reporting indication information, configured to instruct the data collection entity to report the statistical data and the partial original data to the target network element. The mixed report indication information includes indication information indicating which original data needs to be reported, so that when the data collection entity reports data to the target network element, in addition to reporting the data distribution law (ie, statistical data), the original data of a certain interval is also needed. Reported. For example, assuming that the data collected by the data collection entity is interference data, in addition to reporting the data distribution rules, the operator may also care about the highest 5% interference corresponding measurement values in order to effectively reduce interference based on these measurements. At this time, in addition to the data distribution law of the reported data, the original data corresponding to the strongest 5% interference measurement value needs to be reported.

Optionally, the statistics indication information received by the receiving module 601 may further include: a correspondence between an index and a distribution.

The correspondence between the index and the distribution is the relationship between the pre-defined data distribution rule and the index identifier corresponding to the data distribution rule, thereby further reducing the data transmission overhead. For example, if the correspondence relationship is { ( 0 , Gaus s ian distribution), (1 , Poi s son distribution) ...), when the data collection entity reports 0 to the target network element, it indicates that the statistical data obeys the Gaus sian distribution. Of course, the corresponding relationship between the index and the distribution may be pre-configured in the data collection entity, and the corresponding relationship between the index and the distribution may not be included in the statistical indication message sent by the upper-level network element to the data collection entity. The processing module 602 is configured to determine, according to the configuration message received by the receiving module 601, the data type reported by the data collection entity to the target network element.

If the configuration information received by the receiving module 601 does not include the statistical indication information, the data collecting entity reports the original data to the target network element, the processing module 602 is configured to collect data, and the sending module 603 is configured to collect the collected data. Data is sent to the target network element.

If the configuration information received by the receiving module 601 does not include the statistical indication information, the data collecting entity reports the statistical data to the target network element, and the processing module 602 is configured to collect data, and according to the statistical indication information, The collected data is counted, and the data distribution law of the data is extracted to form statistical data. The sending module 603 is configured to send the statistics to the target network element.

The statistical data includes a data distribution type, and a parameter value corresponding to the parameter of the distribution type.

The processing module 602 is configured to: collect the data, and the method includes: the processing module 602 is configured to start the minimization of the drive test MDT session, select the user equipment UE, and send the MDT configuration message to the UE by using the sending module 603; and receive by using the receiving module 601. The measurement data returned by the UE is saved.

If the period of the collected data is included in the statistical indication information, the processing module 602 performs statistics on the data in a period of the collected data according to the period of collecting the data in the configuration message, and extracts The data distribution law of the statistical data forms statistical data.

The processing module 602 is configured to extract the data distribution rule of the statistical data, and specifically includes: the processing module 602 is configured to fit the data collected in a period of collecting the data to find the most consistent data. a distribution type, and a parameter value corresponding to the parameter of the distribution type; wherein the data distribution rule includes a distribution type of the data, and a parameter value corresponding to the parameter of the distribution type.

The types of distribution include, but are not limited to, Gaussian Gaussian distribution, Poisson Poisson distribution, Rayleigh Rayl eigh distribution, Rice Rice distribution, logarithmic logistic distribution, uniform Uniform distribution, and the like. For example, if the data in a collected data period satisfies the Gaussian distribution, the parameters corresponding to the Gaussian distribution are derived. For the Gaussian distribution, the corresponding parameters are the mean and the variance, which are the parameters of the distribution type. If the measurement parameter is information that changes with time, the distribution type of the data will be a two-dimensional data distribution type. Otherwise, only one-dimensional data distribution type can be calculated.

The processing module 602 finds a data distribution that satisfies the optimal criterion from the possible data distribution types (such as Gaussian, Poisson, etc.) and the possible parameter combinations under the data distribution type for the measured raw data. Type and corresponding parameters, as statistics sent to the target network element. The optimal criteria can be referenced to prior art techniques of data fitting, such as the principle of minimum mean square error, minimizing the principle of maximum error, and the like.

Since the processing module 602 uses the sending module 603 to send only statistical data and data distribution rules to the target network element, or only part of the original data is needed to the target network element, the storage and transmission of data in the network can be effectively reduced.

Optionally, the statistical indication information received by the receiving module 601 further includes mixed reporting indication information. Then, the processing module 602 sends the collected data and the statistical data to the target network element by using the sending module 603 according to the hybrid reporting indication information.

For example, if the mixed indication indication information in the statistical indication information is the original data of the interference measurement value reported by 5%, the processing module 602 uses the sending module 603 to use the highest 5% interference measurement value in the collected data as the reported value. The original data is sent to the target network element along with the statistical data.

Further, the statistical data sent by the sending module 603 may be based on the corresponding relationship between the index and the distribution, and the data distribution type is represented by an index value corresponding to the data distribution type, and the statistical data includes: An index value corresponding to the data distribution type determined by the correspondence between the index and the distribution, and a parameter value corresponding to the parameter of the distribution type. When the sending module 603 sends the statistic data to the target network element, the index value corresponding to the distribution type of the data and the parameter value corresponding to the parameter of the distribution type are sent to the target network element. Thereby further reducing the amount of data transmitted. The data collection entity provided by the embodiment of the present invention, the upper-level network element of the data collection entity forms a configuration message according to the processing characteristics of some measurement reports by the data processing unit (ie, the target network element) in the network, and uses a node in the network as the data. The collecting entity extracts the statistical rules of some measured parameters according to the configuration message of the upper-level network element, and reports the statistical data to the data processing unit (the target network element), thereby avoiding transmitting a large amount of original data during the data transmission process of the network, and achieving The purpose of data compression is to reduce the amount of data transmission in the network and to reduce the storage and processing requirements of the target network element.

Embodiment 3

FIG. 7 is a schematic structural diagram of a data collection entity provided by this embodiment. As shown in FIG. 7, the data collection entity of the present invention includes: a processor 701, a communication interface 702, and a memory 703. The communication interface 702 is configured to interact with a higher-level network element, a target network element, or a user equipment.

An application physically stored in memory 703, the application including instructions operable to cause the processor 701 and the data collection entity to perform the following process:

Collecting data, and collecting statistics on the collected data according to the statistical indication information, and extracting data distribution rules of the data to form statistical data, where the statistical data includes a data distribution type, and a parameter corresponding to the distribution type Parameter value;

Sending the statistical data to the target network element.

Specifically, the data collection entity further performs the data transmission method shown in FIG. 3 according to the instruction, and details are not described herein.

The data transmission method and device provided by the present invention extracts the statistical rule according to the statistical indication information, and reports the statistical data to the upper-level network element, which reduces the requirement for the storage and processing capability of the target network element and reduces the requirement for directly transmitting the original data. The amount of traffic in the network. There is no performance penalty for the measurement of the statistical law that is ultimately extracted in the data processing unit (target network element). Therefore, the present invention can avoid transmitting a large amount of original data during data transmission of the network, and achieves data compression. The purpose is to reduce the amount of data transmission in the network and reduce the storage and processing requirements of the target network element.

A person skilled in the art should further appreciate that the elements and algorithm steps of the various examples described in connection with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both, in order to clearly illustrate hardware and software. Interchangeability, the composition and steps of the various examples have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the solution. A person skilled in the art can use different methods for implementing the described functions for each particular application, but such implementation should not be considered to be beyond the scope of the present invention.

The steps of a method or algorithm described in connection with the embodiments disclosed herein can be implemented in hardware, a software module executed by a processor, or a combination of both. Software modules can be placed in random access memory (RAM), memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or technical field Any other form of storage medium known.

The above described embodiments of the present invention are further described in detail, and the embodiments of the present invention are intended to be illustrative only. The scope of the protection, any modifications, equivalents, improvements, etc., made within the spirit and scope of the invention are intended to be included within the scope of the invention.

Claims

claims

1. A data transmission method, characterized in that the method includes:

The data collection entity receives statistical indication information sent by the superior network element, and the statistical indication information is used to instruct the data collection entity to report statistical data to the target network element;

The data collection entity collects data, performs statistics on the collected data according to the statistical indication information, and extracts the data distribution pattern of the data to form statistical data, where the statistical data includes data distribution type, and the Parameter values corresponding to distribution type parameters;

2. The method according to claim 1, characterized in that the statistical indication information also includes: a period for collecting data;

The step of performing statistics on the collected data according to the statistical instruction information includes: according to the period of collecting data in the statistical instruction information, performing statistics on the data collected within one of the periods of collecting data. statistics.

3. The method according to claim 2, characterized in that the data distribution law for extracting the statistical data includes:

Fit the data within a period of collecting data, find the distribution type that best fits the data, and calculate the parameter values corresponding to the parameters of the distribution type;

The data distribution law includes the distribution type of the data and the parameter values corresponding to the parameters of the distribution type.

4. The method according to any one of claims 1-3, characterized in that the statistical indication information also includes: mixed reporting indication information;

The data collection entity sends the statistical data to the target network element, specifically including: the data collection entity sends the collected data and the statistical data to the target network according to the mixed reporting instruction information. Yuan.

5. The method according to any one of claims 1 to 4, characterized in that the statistical indication information further includes: the corresponding relationship between index and distribution; The statistical data specifically includes: the index value corresponding to the data distribution type determined according to the corresponding relationship between the index and the distribution, and the parameter value corresponding to the parameter of the distribution type;

The data collection entity sends the statistical data to the target network element, specifically including: the data collection entity sends the index value corresponding to the distribution type of the data and the parameter value corresponding to the parameter of the distribution type to The target network element.

6. The method according to any one of claims 1-5, characterized in that the data collection entity collects data, specifically including:

The data collection entity initiates a minimized drive test MDT session, selects the user equipment UE, and sends an MDT configuration message to the UE;

7. The method according to any one of claims 1 to 6, characterized in that the upper-level network element includes: base station controller BSC, network element management system EMS, hierarchical service system HSS or mobility management entity MME.

8. The method according to any one of claims 1 to 6, characterized in that the data collection entity includes a wireless access network RAN node, a wireless gateway or a network element management system EMS.

9. The method according to any one of claims 1 to 6, characterized in that the target network element includes a tracking collection entity TCE or a data collection server.

10. A data collection entity, characterized in that the data collection entity includes: a receiving module, a processing module and a sending module;

The receiving module is configured to receive statistical indication information sent by a superior network element, where the statistical indication information is used to instruct the data collection entity to report statistical data to the target network element;

The processing module is used to collect data, perform statistics on the collected data according to the statistical indication information, and extract the data distribution pattern of the data to form statistical data;

The sending module is configured to send the statistical data to the target network element, where the statistical data includes a data distribution type and parameter values corresponding to parameters of the distribution type.

11. The data collection entity according to claim 10, characterized in that, the statistical indication The information also includes: the period over which the data is collected;

The processing module is configured to perform statistics on the collected data according to the statistical instruction information, and is specifically configured to perform statistics on the data collected within one of the data collection periods according to the data collection period in the statistical instruction information. The data are statistically analyzed.

12. The data collection entity according to claim 11, characterized in that, the processing module is used to extract the data distribution law of the statistical data, specifically including: the processing module is used to collect the collected data in one Fit the data within the period, find the distribution type that best fits the data, and calculate the parameter values corresponding to the parameters of the distribution type; wherein, the data distribution law includes the distribution type of the data, the distribution type The parameter value corresponding to the parameter.

13. The data collection entity according to any one of claims 10 to 12, characterized in that the statistical indication information also includes: mixed reporting indication information;

The processing module uses the sending module to send the collected data and statistical data to the target network element according to the mixed reporting indication information.

14. The data collection entity according to any one of claims 10-13, characterized in that the statistical indication information also includes: the corresponding relationship between index and distribution;

The statistical data specifically includes: the index value corresponding to the data distribution type determined according to the corresponding relationship between the index and the distribution, and the parameter value corresponding to the parameter of the distribution type;

The sending module is specifically configured to send the index value corresponding to the distribution type of the data and the parameter value corresponding to the parameter of the distribution type to the target network element.

15. The data collection entity according to any one of claims 10 to 14, characterized in that the processing module is used to collect data, specifically including: the processing module is used to start a minimum drive test MDT session, select a user Equipment UE, and uses the sending module to send an MDT configuration message to the UE; and uses the receiving module to receive the measurement data returned by the UE and save it.

16. The data collection entity according to any one of claims 10 to 15, characterized in that the data collection entity includes a radio access network RAN node, a wireless gateway or a network element management system EMS.

17. The data collection entity according to any one of claims 10-15, characterized in that: The above-mentioned upper-level network elements include: base station controller BSC, network element management system EMS, hierarchical service system HSS or mobility management entity MME.

18. The data collection entity according to any one of claims 10 to 15, characterized in that the target network element includes a tracking collection entity TCE or a data collection server.

19. A data collection entity, characterized in that the data collection entity includes: a processor;

memory;

Communication interface, the communication interface is used to interact with upper-level network elements, target network elements or user equipment;

An application program physically stored in the memory, the application program including instructions for causing the processor and the data collection entity to perform the following processes:

Receive statistical indication information sent by a superior network element, where the statistical indication information is used to instruct the data collection entity to report statistical data to the target network element;

Collect data, perform statistics on the collected data according to the statistical indication information, and extract the data distribution rules of the data to form statistical data. The statistical data includes data distribution types and parameter correspondences of the distribution types. parameter value;

Send the statistical data to the target network element.

20. The data collection entity according to claim 19, characterized in that the statistical indication information also includes: a period for collecting data;

The application program includes instructions for causing the processor and the data collection entity to perform the following process when performing statistics on the collected data according to the statistical instruction information: according to the statistics instruction information. The data collection period is to make statistics on the data collected within one data collection period.

21. The data collection entity according to claim 20, characterized in that, when the application program includes a data distribution rule for causing the processor and the data collection entity to extract the statistical data, the following is specifically performed: Process instructions: Fit the data within a period of collecting data, find the distribution type that best fits the data, and calculate the parameter values corresponding to the parameters of the distribution type;

22. The data collection entity according to any one of claims 19-21, characterized in that the statistical indication information also includes: a mixed reporting indication message;

The application program includes instructions for causing the processor and the data collection entity to specifically perform the following process when sending the statistical data to the target network element:

The collected data and the statistical data are sent to the target network element according to the mixed reporting indication information.

23. The data collection entity according to any one of claims 19 to 22, characterized in that the statistical indication information also includes: the corresponding relationship between index and distribution;

The index value corresponding to the distribution type of the data and the parameter value corresponding to the parameter of the distribution type are sent to the target network element.

24. The data collection entity according to any one of claims 19 to 23, characterized in that the application program includes a method for causing the processor and the data collection entity to specifically perform the following process when collecting data. Instructions:

Start a minimized drive test MDT session, select the user equipment UE, and send an MDT configuration message to the UE;

Receive the measurement data returned by the UE and save it.

25. The data collection entity according to any one of claims 19 to 24, characterized in that the data collection entity includes a radio access network RAN node, a wireless gateway or a network element management system EMS.

26. The data collection entity according to any one of claims 19 to 24, characterized in that the upper-level network element includes: base station controller BSC, network element management system EMS, hierarchical service system HSS or mobility management entity MME .

27. The data collection entity according to any one of claims 19 to 24, characterized in that the target network element includes a tracking collection entity TCE or a data collection server.