CN102869037B - High-speed railway user separation method based on signaling data of A interface and Abis interface - Google Patents

Abstract

The invention discloses a high-speed railway user separation method based on the signaling data of the A port and the Abis port. The method first collects the full amount of signaling data of the A port and the Abis port of the high-speed railway community, and establishes a high-speed railway resident user database to determine The high-speed railway resident users in the high-speed railway community, and then according to the collected signaling data, obtain the high-speed railway user call behavior characteristics of users other than resident users, and separate high-speed railway users from expressway or ordinary users according to the call behavior characteristics. user. By establishing a separation algorithm model for high-speed railway users, this method can effectively separate high-speed railway users, permanent users along the line, and low-speed users along the line, and realize the related functions of the high-speed railway simulation drive test system according to the separated high-speed railway users. Solve the uncertainty problems such as less test sampling, large sporadic, and single test terminal in the traditional high-speed railway simulation test.

Description

A high-speed railway user separation method based on A port and Abis port signaling data

technical field

The invention relates to the field of wireless technology communication, in particular to a high-speed railway user separation method based on A port and Abis port signaling data in a high-speed railway wireless coverage scene.

Background technique

At present, domestic high-speed railways are developing rapidly, and high-speed railways have become an important part of railway passenger transportation. However, due to the high speed of high-speed railways, the Doppler effect is significant, the poor indicators of high-speed railways and the lack of optimization methods have greatly restricted the optimization of high-speed railway mobile communication networks. In-depth development of work.

The optimization technical means of the existing high-speed railway mobile communication network is mainly to analyze the indicators of the covered high-speed railway community through traffic statistics, and then optimize the network for abnormal communities; or analyze a large number of field test data to determine the high-speed railway mobile communication network. There is an unusual problem in the network. Analyze the cause of the problem and propose a solution through the test log playback. The method of analyzing the indicators of the covered high-speed railway community through traffic statistics data, because the indicators of permanent users along the high-speed railway are invisible, it is not clear whether the abnormal event is caused by the high-speed railway users, and the abnormal situation of the high-speed railway will be overwhelmed by the normal situation of a large number of resident users , cannot well reflect the high-speed rail user indicators from conventional indicators. On the other hand, on-site road testing will have uncertainties such as less sampling, high sporadicity, and a single test terminal, and the cost of testing is huge, which will have a great impact on the accuracy of the assessment of the high-speed railway wireless network situation.

Contents of the invention

Aiming at the defects existing in the prior art, the object of the present invention is to provide a kind of high-speed railway user separation method based on the A port and Abis port signaling data, by which the users of the high-speed railway community are classified into different types and identified high-speed rail users.

To achieve the above object, the technical scheme adopted in the present invention is as follows:

A high-speed railway user separation method based on A port and Abis port signaling data, comprising the following steps:

(1) Collect the full amount of signaling data of the A port and the Abis port of the high-speed railway community, form a transaction detailed record TDR through post-association, and store the collected signaling data in the database after parsing; the full amount of signaling data includes The measurement report data collected by the Abis port, as well as the cell occupied by the call handover in the data of the A port, the duration of the handover in the cell, and the handover sequence between the cells;

(2) Establish a high-speed railway resident user database to determine the high-speed railway resident users in the high-speed railway community; the high-speed railway resident users refer to periodic location area updates or startups in the high-speed railway community during the high-speed railway outage period , the user who shuts down;

(3) According to the full amount of signaling data collected, obtain the high-speed railway user call behavior characteristics of users other than high-speed railway resident users; The time interval for calls to be switched between cells along the line and the latitude and longitude of each switching point;

(4) Separating high-speed railway users and other users among users other than high-speed railway resident users according to the call behavior characteristics of high-speed railway users. Other users refer to expressway users or ordinary railway users; the specific methods are as follows:

(4-1) According to the collected full amount of signaling data, obtain multiple handover users who have had 2 or more call handoffs;

(4-2) Calculate the user's moving speed according to the two switching time differences of the multiple switching users and the latitude and longitude of the two switching points;

(4-3) Separating high-speed rail users and other users according to user moving speed.

Further, a method for separating high-speed railway users based on A port and Abis port signaling data as described above, the method also includes the following steps:

(5) Judging the driving direction of high-speed railway users according to the switching sequence of high-speed railway users.

Further, a method for separating high-speed railway users based on A port and Abis port signaling data as described above, the method of establishing a high-speed railway resident user database is as follows:

Collect the full amount of signaling data of the A port and Abis port of the high-speed railway community during the night outage of the high-speed railway, and define the users with periodic location update, startup and shutdown business types as high-speed railway resident users during this period, and obtain continuous multi-day The high-speed railway resident user group is deduplicated to obtain the high-speed railway resident user database.

Further, a kind of high-speed railway user separation method based on A mouth and Abis mouth signaling data as above, in step (2), the mode that determines high-speed railway resident user according to the high-speed railway resident user database is:

(2-1) According to the collected full amount of signaling data, obtain less handover users; the less handover users refer to users who have had 0 or 1 call handovers;

(2-2) Match the less switching users with the high-speed railway resident user database, and separate the high-speed railway resident users.

Further, a kind of high-speed railway user separation method based on A port and Abis port signaling data as described above, less handover users in a certain high-speed railway community talk time length is greater than or equal to the user who sets the handover duration threshold as the high-speed railway regular Resident users; users whose call duration is less than the set switching duration threshold and who do not occupy the station room sub-system are determined as high-speed railway resident users; the station room sub-system refers to a cell that only covers high-speed rail stations.

Further, as described above, a high-speed railway user separation method based on the signaling data of the A port and the Abis port, less handover users whose call duration in a certain high-speed railway community is less than the set handover time threshold and occupy the station room system Determined as a high-speed rail user.

Further, a method for separating high-speed railway users based on the signaling data of the A port and the Abis port as described above, in step (4-3), the user moving speed range of the high-speed railway user is: 150km/h<moving speed≤ 300km/h; the mobile speed range of highway or ordinary railway users is 80-150km/h.

Furthermore, as described above, a high-speed railway user separation method based on the signaling data of the A port and the Abis port, among the short message users of the high-speed rail private network in the high-speed railway community, the users who have the calling/called service are determined to be expressways or ordinary railways For users, users who do not have calling/called services determine the user type through the high-speed railway resident user database.

The beneficial effect of the present invention is that: the present invention forms a high-speed railway user separation algorithm model by collecting the full amount of signaling data covering the A port and the Abis port of the high-speed railway community. According to the model, the users in the collection range can be divided into high-speed railway users, high-speed and ordinary train users, high-speed railway resident users, etc., and realize the relevant functions of the high-speed railway simulation drive test system according to the separated high-speed railway users, with sampling points More, stronger real-time performance, and more terminals, etc., effectively solve the traditional high-speed railway test sampling less, sporadic, single test terminal and other uncertain problems.

Description of drawings

Fig. 1 is a kind of flow chart of the high-speed railway user separation method based on A mouth and Abis mouth signaling data of the present invention;

Fig. 2 is a detailed flow chart of a high-speed railway user separation method based on the A port and Abis port signaling data in the specific embodiment.

Detailed ways

The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

The present invention aims at the disadvantages existing in the current high-speed railway optimization, and proposes a high-speed railway user separation method based on the signaling data of the A port and the Abis port. By this method, the users in the covered high-speed railway community can be divided into high-speed railway users and regular users along the line. The three types of resident users and low-speed users along the line (including ordinary railway users and expressways) are distinguished. The identified high-speed railway user indicators can be used to evaluate the high-speed railway wireless network situation, effectively solving the problem of single field test terminals, sporadic problems and testing costly problem.

Fig. 1 and Fig. 2 have shown a kind of flow chart of the high-speed railway user separation method based on A mouth and Abis mouth signaling data of the present invention and the detailed flow chart in the present embodiment respectively, and this method mainly comprises the following steps:

Step S11: Collect the full amount of signaling data of the A port and Abis port of the high-speed railway community, and then correlate to form a detailed transaction record and save it;

Collect the full amount of signaling data of the A port and Abis port of the high-speed railway community, form a TDR (Transaction Detail Record) record through post-correlation, and analyze the collected signaling data and save it in the database.

The A interface is a digital interface widely used on the relay side, and the A interface is defined as a communication interface between a network subsystem (NSS) and a base station subsystem (BSS). From the perspective of the system, it is the interface between the mobile switching center (MSC) and the base station controller (BSC). The information transmitted by this interface includes mobile station management, base station management, mobility management, connection management, etc. The Abis interface is defined as the communication interface between the two functional entities BSC (Base Station Controller) and BTS (Base Transceiver Station) of the base station subsystem. It is used for the remote interconnection between the BTS and the BSC. This interface supports all The service provided to users, and supports the control of BTS wireless equipment and the allocation of wireless frequencies.

Since the signaling collection is based on the unit of the cell, a user may occupy multiple cells in one call, and the post-association is to combine the signaling segments collected from different cells into a complete multi-cell In the communication process of the cell, a transaction detailed record is formed to record the details of the user's communication.

Step S12: Establish a high-speed railway resident user database, and determine the high-speed railway resident users in the high-speed railway community;

During the period of high-speed railway outage, users who undergo periodic location area update or power-on and power-off in the high-speed railway community are high-speed railway resident users. According to the signaling data collected in step S11, a high-speed railway resident user database is established to determine the high-speed railway resident users in the high-speed railway community. All users in the high-speed railway community are separated from the high-speed railway resident users by matching the resident user database, and then the resident users are further separated according to the high-speed railway call rules.

The high-speed railway resident user database is based on the collected signaling data of the A port and Abis port of the high-speed railway community during the night outage of the high-speed railway. Railway resident users, obtain the high-speed railway resident user group for multiple consecutive days (for example, one week), and obtain the high-speed railway resident user database after deduplication. The specific way to separate the permanent users of Gaoshu Railway according to the database of Gaoshu Railway’s permanent users is (Figure 2):

Firstly, according to the collected full amount of signaling data, less handover users are obtained; the less handover users refer to users who have had 0 or 1 call handovers;

Match the few switching users with the high-speed railway resident user database to separate out the high-speed railway resident users.

In the summary of the process of actually separating the resident users of the high-speed railway, it is only possible to separate and determine all the resident users according to the database of the resident users of the high-speed railway, and it is necessary to further separate the resident users according to the law of high-speed railway calls. Due to the high speed during the high-speed rail journey, switching will be performed at regular intervals. The residence time of high-speed rail users in each cell is basically a fixed value. Therefore, if the user’s calls in a high-speed rail cell exceed the actual Dwelling time, that is, users whose call duration in a certain high-speed rail community among the less handover users is greater than or equal to the set handover duration threshold (such as 120s) can be considered as a resident user because the user is not on the high-speed rail. In addition, if the call duration of less switching users is less than the set switching duration threshold and the users who do not occupy the station room system are determined as high-speed railway resident users. However, if the talk time among the less handover users is less than the set handover time threshold, the users who occupy the station room system can be considered as high-speed railway users rather than resident users. Among them, the station room distribution system refers to the cell that only covers the high-speed rail station. If the user occupies the cell during the call, it can be determined that the user is in the station.

Step S13: Obtain the call behavior characteristics of high-speed railway users of users other than resident users according to the collected full amount of signaling data;

According to the full amount of signaling data collected in step S11, the high-speed railway user call behavior characteristics of users other than high-speed railway resident users are obtained; The time interval for the switching of each user call cell and the latitude and longitude of each switching point. Due to the fixed travel time of high-speed railways, the running speed of EMUs in each section and the switching zone of call users are relatively fixed. Information such as the time interval of switching and the latitude and longitude of each switching point extracts the call characteristics of high-speed railway users.

Step S14: Separating high-speed rail users and expressway or ordinary rail users among users other than resident users according to user call behavior characteristics;

Separation of high-speed railway users and other users among users other than high-speed railway permanent users according to the call behavior characteristics of high-speed railway users. Other users refer to expressway users or ordinary railway users. The specific separation method is as follows:

Firstly, according to the collected signaling data, multiple switching users who have experienced two or more call switchings are obtained, and then the two switching times are estimated by using the time difference between the two switching times of the multiple switching users and the latitude and longitude of the two switching points Then calculate the user's moving speed, and determine whether the user is a high-speed rail user or an ordinary rail user/highway user according to the user's moving speed. The user moving speed range of high-speed railway users is 150km/h<moving speed≤300km/h; the user moving speed range of expressway or ordinary railway users is 80-150km/h, and high-speed railway users can be distinguished from the order of magnitude, and Highway or general rail users. In addition, among the short message users of the high-speed railway private network in the high-speed railway community, the users who have the calling/called service are determined as expressway or ordinary railway users, and the users who do not have the calling/called service are determined by the high-speed railway resident user database. For example, Shown in Figure 2. SMS users of the high-speed rail private network: high-speed rail users separated according to the known high-speed rail user separation algorithm, who have sent text messages on the high-speed rail private network, can be identified as high-speed rail private network SMS users.

Step S15: Determine the driving direction of the high-speed railway user according to the switching sequence of the high-speed railway user.

Since the cells covered by the high-speed railway are distributed linearly, the handover zone between each cell is relatively fixed, and the user's driving direction can be judged according to the handover sequence that occurs during the call of the high-speed rail user. The user handover sequence refers to the sequence of cells occupied when handover occurs during a user call. For example, a user has three handovers in one call, from A cell to B cell, and then from B cell to C cell, then A->B->C is a handover sequence; according to the longitude and latitude of A, B, and C cells, The driving direction of the user can be determined.

The present invention will be further described below in conjunction with specific examples.

Example

According to the method of the present invention, the data of A port and Abis port on January 6, 2011 are collected to verify the high-speed railway user separation algorithm.

Resident user library definition:

·From the A+Abis system, a total of 3,054 users who performed periodic location updates and switched on and off at 2-4 am on January 6, 2011 were collected as the resident user database.

Resident user separation:

·A total of 2,997 users were extracted from the A+Abis system during 09-10:00 on January 6, 2011 or 1 switching user;

·From the 2997 less switching users, 167 users who have switched services more than 2 times in the same period were matched, and the remaining 2830 users;

228 resident users were obtained by matching 2830 users with the resident user database;

·Among the remaining 2602 users, 451 have a call time of more than 120 seconds, which are classified as resident users;

A total of 228+451=679 resident users were separated, plus 94 users whose switching times were greater than or equal to 2, but whose speed was lower than 60km/h, a total of 773 resident users were separated, and the resident users were verified Feasibility of separation;

·The remaining 2830-679=2151 users, who cannot be separated according to the user separation scheme due to the short call duration, are defined as suspected high-speed rail users.

Separation of high-speed rail, expressway or ordinary rail users:

A total of 1,216 users were extracted from the A+Abis system from 9 to 10:00 on January 6, 2011, and a total of 1,216 users switched twice or more. Calculated the driving speed of the users in each switching interval, and the average speed of the users was 844 times greater than 150km/h. Defined as high-speed rail users; 278 users with an average speed of 80-150km/h are defined as expressway or ordinary railway users, and 94 users with other speeds below 80km/h are defined as permanent users along the line.

The invention forms a high-speed railway user separation algorithm model by collecting the full amount of signaling data covering the A port and the Abis port of the high-speed railway community, and according to the behavior characteristics of the high-speed railway users. According to the model, the users in the collection range can be divided into high-speed railway users, high-speed power and ordinary railway users, resident users, etc., and realize the relevant functions of the high-speed railway simulation drive test system according to the separated high-speed railway users Analyze the indicators of high-speed rail users, and effectively optimize the high-speed rail user network.

Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and equivalent technologies, the present invention also intends to include these modifications and variations.

Claims (6)

1. a high-speed railway user separation method based on A port and Abis port signaling data, comprising the following steps: (1) Collect the full amount of signaling data of the A port and the Abis port of the high-speed railway community, form a transaction detailed record TDR through post-association, and store the collected signaling data in the database after parsing; the full amount of signaling data includes The measurement report data collected by the Abis port, as well as the cell occupied by the call handover in the data of the A port, the duration of the handover in the cell, and the handover sequence between the cells; (2) Establish a high-speed railway resident user database to determine the high-speed railway resident users in the high-speed railway community; the high-speed railway resident users refer to periodic location area updates or startups in the high-speed railway community during the period of high-speed railway outage , Shutdown users; the way to establish a high-speed railway resident user database is: Collect the full amount of signaling data of the A port and Abis port of the high-speed railway community during the night outage of the high-speed railway, and define the users with periodic location update, startup and shutdown business types as high-speed railway resident users during this period, and obtain continuous multi-day The high-speed railway resident user group, get the high-speed railway resident user database after deduplication; According to the high-speed railway resident user database, the method of determining the high-speed railway resident users is as follows: (2-1) According to the collected full amount of signaling data, obtain less handover users; the less handover users refer to users who have had 0 or 1 call handovers; (2-2) Match fewer switching users with the high-speed railway resident user database, and separate the high-speed railway resident users; (3) According to the full amount of signaling data collected, obtain the high-speed railway user call behavior characteristics of users other than high-speed railway resident users; The time interval of cell switching in each section of the call line and the latitude and longitude of each switching point; (4) Separating high-speed railway users and other users among users other than high-speed railway resident users according to the call behavior characteristics of high-speed railway users. Other users refer to expressway users or ordinary railway users; the specific methods are as follows: (4-1) According to the collected full amount of signaling data, obtain multiple handover users who have had 2 or more call handoffs; (4-2) Calculate the user's moving speed according to the two switching time differences of the multiple switching users and the latitude and longitude of the two switching points; (4-3) Separating high-speed rail users and other users according to user moving speed. 2. a kind of high-speed railway user separation method based on A mouth and Abis mouth signaling data as claimed in claim 1, is characterized in that, the method also comprises the following steps: (5) Judging the driving direction of high-speed railway users according to the switching sequence of high-speed railway users. 3. a kind of high-speed railway user separation method based on A port and Abis port signaling data as claimed in claim 1, is characterized in that: less handover users are in a certain high-speed railway community talk time length greater than or equal to the set handover time length Threshold users are high-speed railway resident users; users whose call duration is less than the set switching time threshold and who do not occupy the station's indoor subsystem are determined to be high-speed railway resident users. 4. a kind of high-speed railway user separation method based on A mouth and Abis mouth signaling data as claimed in claim 1, is characterized in that: less handover users are less than the setting handover duration threshold and Users who occupy the station's indoor distribution system are determined as high-speed railway users; the station's indoor distribution system refers to the residential area that only covers high-speed rail stations. 5. a kind of high-speed railway user separation method based on A mouth and Abis mouth signaling data as claimed in claim 1 or 2, is characterized in that: in step (4-3), the user moving speed range of high-speed railway user is : 150km/h<moving speed≤300km/h; the moving speed range of expressway or ordinary railway users is 80～150km/h. 6. A kind of high-speed railway user separation method based on A port and Abis port signaling data as claimed in claim 1, characterized in that: the user who takes place calling/called service among the high-speed rail private network short message users in the high-speed railway community For expressway or ordinary railway users, users who do not have calling/called services determine the user type through the high-speed railway resident user database.