CN102821408B - A-port and Abis-port signaling data based high-speed railway field network optimizing method - Google Patents
A-port and Abis-port signaling data based high-speed railway field network optimizing method Download PDFInfo
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Abstract
The invention discloses an A-port and Abis-port signaling data based high-speed railway field network optimizing method. The A-port and Abis-port signaling data based high-speed railway field network optimizing method includes steps of firstly, acquiring full-quantity signaling data of an A-port and an Abis-port of a high-speed railway community, and classifying three types of users by means of high-speed railway user classification; and setting up high-speed railway monitoring alarm systems according to user measuring reports and acquired full-quantity signaling data and user types, monitoring network KPI (key performance indicator) of three types of users in the community, determining a user with abnormality according to the monitoring results of the network KPI of the high-speed railway user in the community, accurately positioning the position of the user with abnormality, and sending an alarm. The A-port and Abis-port signaling data based high-speed railway field network optimizing method sets up monitoring systems by user classification according to different user types and realizes multi-dimensional monitoring alarm and display of the KPI of the high-speed railway, uncertain conventional problems of low sampling, high accidents and singularity of measuring terminals and the like can be effectively solved, and work efficiency of network optimization is improved.
Description
Technical field
The present invention relates to wireless technical communication field, a kind of high-speed railway scene network optimized approach based on A mouth and Abis mouth signaling data particularly in high-speed railway wireless coverage scene.
Background technology
Current domestic Development of High Speed Railway is swift and violent, high-speed railway has become the pith of railway transport of passengers, but because high-speed railway speed is fast, Doppler effect is remarkable, high-speed railway index error and optimization means scarcity significantly limit carrying out in a deep going way of high-speed railway mobile communication network optimization work.
The optimization of existing high-speed railway mobile communications network is mainly through following methods:
(1) by traffic statistics, covering high-speed railway community index is added up, the network optimization is targetedly carried out to Indexes Abnormality community.
(2) analyzed by a large amount of drive test data on the spot, determine to there is abnormal problem in high-speed railway mobile communications network.By testing LOG recovering and analysis questions and prospect and the solution that asks a question.
(3) complained by the cellphone subscriber collected in high-speed railway mobile communications network, in the mode of field test analogue mobile phone customer complaint scene, reproduction customer complaint problem, problem is processed.
But existing high-speed railway optimization means mainly relies on high-speed railway community KPI(Key Performance Indicator KPI Key Performance Indicator method) three aspects such as index analysis, high-speed railway Drive Test Data Analysis, high-speed railway user complaint handling carry out problem discover and process to high-speed railway network, all there is certain defect:
High-speed railway community KPI index analysis, existing problems find delayed, and whether can not specify anomalous event is that high-speed railway user occurs; Due to line of high-speed railway resident user Index Influence, high-speed railway user abnormal conditions can be flooded by a large amount of resident user normal condition, can not reflect high-speed railway user index from conventional KPI index.
High-speed railway drive test can the abnormality sensing of real simulation user, but the method is due to the particularity of high-speed railway scene, the time, manpower, funds etc. of meeting at substantial, and drive test is greatly sporadic, orientation problem difficulty, after optimizing and revising, checking adjustment result also needs repeatedly to test, and cost cost is very big.
Problem complained by user's high-speed railway, and extremely difficulty is by test reproduction, and during abnormal generation, shared Remote Radio Unit is not easily determined, positioning problems precision is not enough.
Summary of the invention
For the defect existed in prior art, the object of the present invention is to provide a kind of high-speed railway scene network optimized approach based on A mouth and Abis mouth signaling data, realize high-speed railway mobile communications network simulation test, orientation problem community, navigate to the Remote Radio Unit of problem cells for high-speed railway user, improve high-speed railway network optimization efficiency.
For achieving the above object, the technical solution used in the present invention is as follows:
Based on a high-speed railway scene network optimized approach for A mouth and Abis mouth signaling data, comprise the following steps:
(1) the full dose signaling data of high-speed railway community A mouth and Abis mouth is gathered, isolate high-speed railway resident user, high-speed railway user and highway or common railway user 3 class user according to high-speed railway user separation method, and determine the measurement report longitude and latitude of high-speed railway user; Described full dose signaling data comprises the measurement report data gathered by Abis mouth, and call in A mouth data switches and takies community, switches and reside in community duration and each handover between cells sequence;
(2) user's measurement report is obtained, according to user's measurement report and full dose signaling data, according to the network KPI index of user type supervisory user under community; Described KPI index comprises user place cell name, cell identification CI, user's caller number of times, called number of times, caller connection number of times, call completing rate, cutting off rate and call delay;
(3) determine according to the network KPI index monitored results of user under community the user that there is anomalous event; Described anomalous event refers to that the KPI index that monitoring obtains does not meet Indicator setpoint scope;
(4) there is anomalous event customer location in location, sends early warning.
Further, a kind of high-speed railway scene network optimized approach based on A mouth and Abis mouth signaling data as above, in step (1), according to the longitude and latitude of each switching point of high-speed railway and high ferro at the average speed of each switching point, calculate high-speed railway user at measurement report longitude and latitude sometime.
Further, a kind of high-speed railway scene network optimized approach based on A mouth and Abis mouth signaling data as above, in step (2), setting-up time granularity, carries out the monitoring of subzone network KPI index respectively according to the time granularity of high-speed railway user, high-speed railway resident user and highway or common railway user 3 class user type and setting.
Further, a kind of high-speed railway scene network optimized approach based on A mouth and Abis mouth signaling data as above, in step (3), the KPI index that described monitoring obtains does not meet the set point of call completing rate lower than call completing rate that Indicator setpoint scope comprises monitoring acquisition, and the cutting off rate that monitoring obtains is higher than the set point of cutting off rate.
Further, a kind of high-speed railway scene network optimized approach based on A mouth and Abis mouth signaling data as above, described Indicator setpoint is set according to the conventional empirical value of real network situation and index by user.
Further, a kind of high-speed railway scene network optimized approach based on A mouth and Abis mouth signaling data as above, in step (4), locate generation anomalous event customer location and comprise the subdistrict position at high-speed railway resident user place, location, the position of locating highway or community, common railway user place and accurate Remote Radio Unit of locating community, high-speed railway user place.
Further again, a kind of high-speed railway scene network optimized approach based on A mouth and Abis mouth signaling data as above, accurately the concrete mode of the remote radio unit of community, high-speed railway user place, location is:
According to user's measurement report, be there is the measurement report longitude and latitude in anomalous event moment compared with the longitude and latitude of all Remote Radio Unit under community, user place in user, to orientate the Remote Radio Unit position of community, user place as in the immediate remote radio unit of the measurement report longitude and latitude that the anomalous event moment occurs with user.
Further, a kind of high-speed railway scene network optimized approach based on A mouth and Abis mouth signaling data as above, for the accurate location of high-speed railway user, by calling playback simulation and signaling playback anomalous event problem points accurate positioning time.
Beneficial effect of the present invention is:
1. accurately there is the position of anomalous event in location, and find out anomalous event problem points, can promote the operating efficiency of existing high-speed railway network Optimization Work to greatest extent;
2. the KPI index monitoring by mostly being, promotes the specific aim of existing high-speed railway network optimizing index, finds high-speed railway network existing problems fast, promotes high-speed railway user perception targetedly;
3. set up monitoring system according to three kinds of dissimilar users, the contingency presenting problem when being tested by high-speed railway is down to minimum, comprehensive simulated high-speed railway practical problem;
4. wireless environment situation when can provide relative users Analysis on Abnormal to high-speed railway anomalous event point and extremely occur, determines anomalous event spot net optimum ideals;
5. with a large amount of high-speed railway user for foundation, for a long time high-speed railway number of users amount, KPI index, wireless environment can be improved situation and monitored, can be used as and promote high-speed railway user perception foundation.
Accompanying drawing explanation
Fig. 1 is the flow chart of a kind of high-speed railway scene network optimized approach based on A mouth and Abis mouth signaling data of the present invention;
Fig. 2 and Fig. 3 be in embodiment according to user type set up high-speed railway monitoring and early warning system in user KPI index monitoring result schematic diagram.
Embodiment
Below in conjunction with Figure of description and embodiment, the present invention is described in further detail.
The present invention be directed to during current high-speed railway is optimized the drawback existed, a kind of high-speed railway user separation method based on A mouth and Ab i s mouth signaling data is proposed, covering high-speed railway intra-cell users can be pressed high-speed railway user by the method, resident user along the line, three types such as low speed user along the line (comprising common railway user and highway) are distinguished, the high-speed railway user index identified is for assessment of high-speed railway wireless network situation, orient the subdistrict position that there is anomalous event user place, more accurately can orient the remote radio unit of community, high-speed railway user place, accurately location, effective solution field test terminal is single, the sporadic large and problem that testing cost is huge of problem, can timely for in-problem community trigger alerts, to optimize personnel to process in time.
Fig. 1 shows a kind of high-speed railway scene network optimized approach based on A mouth and Abis mouth signaling data of the present invention, and the method mainly comprises the following steps:
Step S11: be separated the different class type railway user of 3 classes by high-speed railway user separation method, obtains longitude and latitude and the direction of traffic of high-speed railway user;
Gather the full dose signaling data of high-speed railway community A mouth and Abis mouth, isolate high-speed railway resident user, high-speed railway user and highway or common high ferro user according to high-speed railway user separation method, and determine the measurement report longitude and latitude of high-speed railway user and the direction of traffic of high-speed railway user.
A interface is the widely used a kind of digital interface of trunk side, and A interface definition is the communication interface between network subsystem (NSS) and base station sub-system (BSS).From system, be exactly the interface between mobile switching centre (MSC) and base station controller (BSC), the information of this interface transmission comprises travelling carriage management, BTS management, mobile management, connection management etc.Abis interface is defined as the communication interface between two functional entity BSC (base station controller) of base station sub-system and BTS (base transceiver station), for the far-end interconnection mode between BTS and BSC, this interface support the service that provides of oriented user, and to support the control of BTS wireless device and the distribution of wireless frequency.Gather the measurement report data MR of user by Abis mouth, the user's communication gathered in A mouth data switches and takies community, switches and reside in the duration of community and each handover between cells sequence.By the collection of full dose signaling data, isolate type in high-speed railway resident user, high-speed railway user and highway or common railway user 3 by high-speed railway separation method.
Because high-speed railway circuit is determined, the longitude and latitude of high-speed railway user MR longitude and latitude necessarily on high-speed railway; The average speed between the longitude and latitude of each switching point of high-speed railway and each switching point can be extracted by the actual drive test data of high-speed railway (the full dose signaling data that parsing collects), due to a mobile phone every 0.48 second upper MR measurement report, therefore can calculate high-speed railway user switch after longitude and latitude sometime, namely determine the longitude and latitude of the upper MR sent out of this time user according to the time after user switches, thus complete the location of high-speed railway user MR.In addition, the direction of traffic of high-speed railway user can also be drawn according to high-speed railway user separation method.Be separated dissimilar user by high-speed railway user separation method and determine that high-speed railway user direction of traffic has been described in detail in another related application, being not described in detail in the present invention.
Step S12: set up high-speed railway monitoring and early warning system according to user type, the network KPI index of supervisory user under community;
Obtain user's measurement report, according to user's measurement report and full dose signaling data, set up high-speed railway monitoring and early warning system according to user type, the network KPI index of supervisory user under community.In this step, with in step S11 in isolated 3 the call of dissimilar user for sample, assessment high-speed railway community real network coverage condition on high-speed railway, set up the high-speed railway monitoring and early warning system of certain hour granularity (such as five minutes), high-speed railway user network KPI index situation can be monitored in real time.As continuous worsening in high-speed railway user KPI index under certain community, can trigger alerts, prompting optimization personnel process in time.Wherein, KPI index comprises user place cell name, cell identification CI, user's caller number of times, called number of times, number of times is connected in caller, call completing rate, cutting off rate, call delay, switching times, handover success rate, total traffic, TCH telephone traffic, the common counter of some row such as SD telephone traffic and uplink/downlink voice quality (0 ~ 5 grade) at different levels accounting, as shown in Figures 2 and 3, by setting up high ferro monitoring and early warning system, the network KPI index of each community is monitored, can by the mode in Fig. 2 by the monitored results of each index by histogram graph representation out, each monitor control index can be found out at a glance, can certainly be shown monitored results by the mode of tendency chart in Fig. 3, the conversion trend of each index of user is analyzed.
In this step for the isolated high-speed railway user of high-speed railway user separation algorithm, resident user, high speed and common railway user 3 class user type, community KPI indicator-specific statistics can be carried out respectively by class of user type.Presenting can by 3 network element dimensions such as community, cell set, whole high ferros in dimension, high-speed railway user, highway and 3 user's dimensions such as common railway user, high-speed railway resident user are carried out index and are presented, for high-speed railway optimizing cells provides index inquiry flexibly to present, comprehensive assessment goes out the index situation of various user type under high-speed railway community.
Step S13: determine the user that there is anomalous event according to KPI index monitored results;
Determine to exist the user of anomalous event according to the network KPI index monitored results of user under community monitoring acquisition in step S12, the KPI index that anomalous event refers to monitoring acquisition does not meet Indicator setpoint scope.
When setting up high-speed railway monitoring and early warning system in step s 12, can to the conventional empirical value of some KPI indexs wherein according to the network condition of reality and index, some KPI indexs are set, when monitoring the KPI index result obtained and not meeting range of set value, then illustrate to there is Network Abnormal.Such as, for high-speed railway user, in its KPI index, cutting off rate is general otherwise higher than 3%, thus when the cutting off rate in monitored results higher than 3% time, illustrate to there is anomalous event.When carrying out KPI target setting, user can determine to which index to set as required, namely can according to the difference wanting monitor control index, the relevant KPI index of setting.
Step S14: location anomalous event customer location, sends early warning.
According to the user that there is anomalous event monitored in step S13, position, give a warning to the position of user, prompting optimization personnel process in time.Locate generation anomalous event customer location in the present invention and comprise the subdistrict position at high-speed railway resident user place, location, the position of locating highway or community, common railway user place and accurate Remote Radio Unit of locating community, high-speed railway user place.
In existing railway method for positioning user, usually can only navigate to the community at user place, and method of the present invention can navigate to the Remote Radio Unit under community, improve the precision of location, process in time to optimize personnel.From step S11, the present invention can according to high-speed railway user converse produce MR and in conjunction with high-speed railway MR localization method, the measurement report longitude and latitude of high-speed railway user can be obtained, namely high-speed railway user longitude and latitude at a time can be obtained, therefore can according to user's measurement report, there is the measurement report longitude and latitude in anomalous event moment compared with the longitude and latitude of all Remote Radio Unit under community, user place in user, the Remote Radio Unit position of community, user place is orientated as in the immediate remote radio unit of the measurement report longitude and latitude that the anomalous event moment occurs with user.Therefore, method of the present invention high-speed railway user can be conversed produce MR navigate to high-speed railway Remote Radio Unit, can in order to present up-downgoing covering and the up-downgoing quality condition of each Remote Radio Unit, and in GIS(Geographic Information System GIS-Geographic Information System) map shows, intuitively present high-speed railway Remote Radio Unit wireless environment situation, the continuation up-downgoing quality that radio frequency extension unit occurs, the timely early warning of up-downgoing covering problem.After positioning the position of anomalous event, the high-speed railway user anomalous event according to separating carries out track and localization, can further by the calling function such as playback simulation and signaling playback, accurate positioning time anomalous event problem points.
Calling playback simulation intuitively can present the detail location that anomalous event occurs user, wireless environment overview etc. when anomalous event occurs; Signaling playback can provide anomalous event cause value from signaling angle, provides questions and prospect from signaling aspect, and two aspects combine can orientation problem reason comprehensively.When signaling playback simulation and signaling playback, the common technology means of this area, are no longer described in detail at this.
The present invention covers high-speed railway community A mouth and Abis mouth full dose signaling data by gathering, the dissimilar user of 3 classes is isolated by high-speed railway user separation method, and the high-speed railway monitoring and early warning system of various dimensions is set up according to user type, the network KPI index of supervisory user under community, find out the user that there is anomalous event, the position that accurate location anomalous event occurs, sends early warning, for high-speed railway optimizing cells provides basis.This method, by the application of high-speed railway simulation road examining system, makes network optimization engineer can optimize the problem of most critical at the shortest time network, promotes the actual index of high-speed railway network to greatest extent, promote the true perception of high-speed railway scene user from basic.Method of the present invention can be sample according to isolated high-speed railway user, drive test is simulated by high-speed railway, intuitively can present the network KPI index situation on the wireless environment such as network up and down covering, up-downgoing quality of user awareness on high-speed railway and high-speed railway, intuitively present abnormal cell and Remote Radio Unit problem.Targetedly the poor community of KPI index or Remote Radio Unit are processed to (this is problem discover process, classical algorithm is not accomplished), find out the user's communication process of anomalous event afterwards, carry out calling playback simulation and signaling playback, orientation problem reason, transfer to network optimization personnel to process afterwards, greatly improve the efficiency of optimization.
Obviously, those skilled in the art can carry out various change and modification to the present invention and not depart from the spirit and scope of the present invention.Like this, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technology thereof, then the present invention is also intended to comprise these change and modification.
Claims (6)
1., based on a high-speed railway scene network optimized approach for A mouth and Abis mouth signaling data, comprise the following steps:
(1) the full dose signaling data of high-speed railway community A mouth and Abis mouth is gathered, isolate high-speed railway resident user, high-speed railway user and highway or common railway user 3 class user according to high-speed railway user separation method, and determine the measurement report longitude and latitude of high-speed railway user; Described full dose signaling data comprises the measurement report data gathered by Abis mouth, and call in A mouth data switches and takies community, switches and reside in community duration and each handover between cells sequence;
(2) obtain user's measurement report, according to user's measurement report and full dose signaling data, monitor the network KPI index of 3 class users under community according to user type; Described KPI index comprises user place cell name, cell identification CI, user's caller number of times, called number of times, caller connection number of times, call completing rate, cutting off rate and call delay;
(3) determine according to the network KPI index monitored results of user under community the user that there is anomalous event; Described anomalous event refers to that the KPI index that monitoring obtains does not meet Indicator setpoint scope;
(4) there is anomalous event customer location in location, sends early warning; Locate generation anomalous event customer location and comprise the subdistrict position at high-speed railway resident user place, location, the position of locating highway or community, common railway user place and accurate Remote Radio Unit of locating community, high-speed railway user place; The concrete mode of the remote radio unit of community, high-speed railway user place, accurate location is:
According to user's measurement report, be there is the measurement report longitude and latitude in anomalous event moment compared with the longitude and latitude of all Remote Radio Unit under community, user place in user, to orientate the Remote Radio Unit position of community, user place as in the immediate remote radio unit of the measurement report longitude and latitude that the anomalous event moment occurs with user.
2. a kind of high-speed railway scene network optimized approach based on A mouth and Abis mouth signaling data as claimed in claim 1, it is characterized in that: in step (1), according to the longitude and latitude of each switching point of high-speed railway and high ferro at the average speed of each switching point, calculate high-speed railway user at measurement report longitude and latitude sometime.
3. a kind of high-speed railway scene network optimized approach based on A mouth and Abis mouth signaling data as claimed in claim 1 or 2, it is characterized in that: in step (2), setting-up time granularity, carries out the monitoring of subzone network KPI index respectively according to the time granularity of high-speed railway user, high-speed railway resident user and highway or common railway user 3 class user type and setting.
4. a kind of high-speed railway scene network optimized approach based on A mouth and Abis mouth signaling data as claimed in claim 3, it is characterized in that: in step (3), the KPI index that described monitoring obtains does not meet the set point of call completing rate lower than call completing rate that Indicator setpoint scope comprises monitoring acquisition, and the cutting off rate that monitoring obtains is higher than the set point of cutting off rate.
5. a kind of high-speed railway scene network optimized approach based on A mouth and Abis mouth signaling data as claimed in claim 4, is characterized in that: described Indicator setpoint is set according to the conventional empirical value of real network situation and index by user.
6. a kind of high-speed railway scene network optimized approach based on A mouth and Abis mouth signaling data as claimed in claim 1, it is characterized in that: for the accurate location of high-speed railway user, by calling playback simulation and signaling playback anomalous event problem points accurate positioning time.
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| CN108616803A (en) * | 2016-12-21 | 2018-10-02 | ***通信集团湖北有限公司 | The localization method and device of high ferro user |
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