CN106572495A - Network quality monitoring method based on signalling and MR data and coverage assessment method based on signalling and MR data - Google Patents
Network quality monitoring method based on signalling and MR data and coverage assessment method based on signalling and MR data Download PDFInfo
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- CN106572495A CN106572495A CN201610866643.3A CN201610866643A CN106572495A CN 106572495 A CN106572495 A CN 106572495A CN 201610866643 A CN201610866643 A CN 201610866643A CN 106572495 A CN106572495 A CN 106572495A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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Abstract
The invention discloses a network quality monitoring method based on signalling and MR data. The method comprises the following steps: (1): analyzing the GGSNDATATEID, SGSNDATATEID, BeginTime and URI information through a S1-U interface, and extracting longitude and latitude information according to a longitude and latitude format; (2): obtaining XDR information through a S1-MME interface, associating the cell information through the ERAB_ULTEID, ERAB_ULTEID, BeginTime associated information; and (3): obtaining the RSRP data of an MR acquisition point through the cell information and start time with MRO data association. The method does not need to carry out a large number of on-the-spot tests, save resources, has strong stability, has the extensibility of long-term stable tracking analysis, can output the weak coverage area of the wireless network through association analysis and can optimize problems through the coverage accurate positioning network planing.
Description
Technical field
The present invention relates to communication technical field, and in particular to a kind of based on signaling and the network quality monitoring method of MR data
And network coverage evaluation method, based on the basic data that signaling and MR data optimize as network analysis, can effectively reflect existing network
Coverage condition and user perceive, and are accurately positioned problem region, and further analysis optimization scheme improves network performance and user
Perceive.
Background technology
As LTE network construction progressively expands scale, network structure is increasingly complicated, the problem of the aspect such as network coverage interference
Increasingly project, problem, further optimization and the fast lifting network how comprehensively accurately in real time positioning analysis network is present is used
Family perception is the important topic of LTE network plannings network optimization work.Backstage signaling and the real-time report number that MR data are LTE network users
According to, the experience of the whole network indoor and outdoor user actual perceived is covered, objectively respond network performance situation.
Existing covering is accurately positioned and mainly have following 3 kinds of methods：
The on-the-spot test of method 1-：The method collection tested by DT (drive test), CQT (call quality test calls) covers number
According to needing tester to carry test instrumentation carries out existing network depth test, by GPS to the covering number collected in test process
It is accurately positioned according to covering is carried out.Have a disadvantage in that, (1) carries out positioning needs substantial amounts of tester and equipment, take resource too
It is many.(2) test period is longer, it is impossible to meet current network Fast Construction needs.(3) test can only selected part point position and road
Tested, test result can not completely embody network actual conditions
Method 2- measurement report is analyzed：The MR data collected by existing network are analyzed, and are contained in mobile phone MR data
TA (distance with place cell), IOA (orientation with place cell) according to sampled point in MR data carries out covering accurate fixed
Position.The Chinese patent application of Application No. 201510767565.7 discloses a kind of MRO measurement reports that are based on to LTE terminal position
The method being accurately positioned, using the AOA (eNB receives direction of arrival) and TA in LTE system standard measurement report (during UE
Between lead) data, realization UE terminal particular locations are accurately positioned, solving conventional location algorithm can only be accurately positioned
To cell level, and the problem that propagation model is estimated is fully relied in Intra-cell, UE terminal positioning precision can be carried
Height to 40 meters or so, further, by change in location of the UE terminals in time series moved, by the side of mathematical computations
Method carries out Motion correction to the position of each measurement report moment terminal, can further improve positioning precision to 20 meters or so.
It has the disadvantage, carrying out positioning analysis by MR data, to be currently largely determined by existing network wireless environment more complicated, signal substantially without
Method straightline propagation,
Method 3- signal simulation is predicted：Mainly carried out wirelessly with reference to existing network parameter according to high accuracy map by simulation software
The signal imitation prediction of environment carries out covering and is accurately positioned.Major defect is that wireless environment is complicated, and software simulation is difficult and reality
Unanimously, and the existing network work ginseng not high problem of accuracy also constrains the precision of analog simulation.
The content of the invention
In view of the foregoing defects the prior art has, the technical problem to be solved in the present invention is that one kind is based on signaling and MR
The network quality monitoring method of data, can effectively reflect that existing network coverage condition and user perceive, and be accurately positioned problem region,
Further analysis optimization scheme, improves network performance and user perceives.
To solve above-mentioned technical problem, the present invention takes following scheme：
Based on signaling and the network quality monitoring method of MR data, comprise the steps：
Step (1)：By S1-U interface collection parsing GGSNDATATEID and SGSNDATATEID, BeginTime and
URI information, according to longitude and latitude form latitude and longitude information is extracted；Step (2)：XDR information is gathered by S1-MME interface, is passed through
ERAB_ULTEID, ERAB_ULTEID, BeginTime related information is associated with cell information；Step (3)：By cell information
With the RSRP data that time started and MRO data correlations obtain the MR collection points.
Based on signaling and the network coverage evaluation method of MR data, according to mentioned above based on signaling and the net of MR data
Network quality monitoring method obtains corresponding location information and RSRP data, then according to location information by RSRP data high accuracy
Show on map, the coverage diagram of cell is drawn out, so as to carry out the assessment of the network coverage.
The present invention has beneficial effect following aspects,
(1) present invention need not carry out substantial amounts of live assessment test, and related resource is saved in a large number, and stability is strong, tool
There is the ductility of trace analysis steady in a long-term.
(2) the weak covering problem region of present invention energy association analysis output wireless network, positioning precision can be reached within 10 meters；
Electronic chart has building title, can be directly targeted to building, and cardinal principle is that part UE can be reported when connected state does business
Latitude and longitude information, this latitude and longitude information is produced by cellphone GPS positioning, and longitude can guarantee that within 10 meters, collect in S1-U mouths
Signaling can be analyzed and obtain this data
(3) present invention can be accurately positioned network planning optimization problem by what is covered, by the backtracking of signaling, quick positioning
Problem, is that networking and user's development provide analysis of strategies.
Description of the drawings
Fig. 1 is the present invention based on signaling and the flow chart of one embodiment of the network quality monitoring method of MR data.
Fig. 2 is the present invention based on signaling and the flow process of another embodiment of the network quality monitoring method of MR data
Figure.
Fig. 3 is signal transmission path schematic diagram of the base station to terminal.
Fig. 4 is the flow chart for screening efficiently sampling data.
Fig. 5 is the MPS process figure of rasterizing.
Specific embodiment
Below in conjunction with the accompanying drawings the present invention is described in further detail with specific embodiment, but not as the limit to the present invention
It is fixed.
First, the implication of the term (abbreviation) in the description and claims of this application is listed.
MR：MeasurementReport measurement reports
MRO：MeasurementReport Original measurement report sample datas
LTE：Long Term Evolution Long Term Evolutions
MME：Mobility Management Entity Mobility Management Entity
SGSN：Serving GPRS Support Node Serving GPRS Support Nodes
GGSN：Gateway GPRS Support Node Gateway GPRS Support Nodes
S1-U：S1 interfaces in the user plane
S1-MME:S1 control plane interfaces
NAS：Network Attached Storage network attached storages
EPC：Evolved Packet Core 4G core nets
IMSI：The international mobile use of International Mobile Subscriber Identification Number
Family identification code
TMSI：Temporary Mobile Subscriber Identity Temporary Mobile Subscriber Identity
GUTI:The unique interim UE marks in the Globally Unique Temporary UE Identity whole world
URI:Uniform Resource Identifier universal resource identifiers
XDR:External Data Representation External Data Representations
RSRP:Reference Signal Receiving Power Reference Signal Received Power
Mmes1apUEId：MME sides S1 links UE marks
RAB:Radio Access Bearer RABs
Data-interface is introduced
S1 interfaces are the communication interfaces between LTE eNodeB (base station) and EPC (packet-based core networks), according to carrying and control
Detached thought is made, two interfaces are divided into again, one is used for control plane (S1-MME), and one is used for user plane (S1-U).
S1-MME is used to transmit session management (SM) and mobile management (MM) information, i.e. signaling plane or control surface information,
S1-U sets up tunnel in GW and eNodeB equipment rooms, transmits user data service, i.e. user face data, and MRO data are by communication
The MR data of the TD-LTE_OMC-R measurement report technical requirements specification output of business.
S1-MME interface collection packet containing contextual information (IP address, UE abilities etc.), subscriber identity information (IMSI or
TMSI, GUTI etc.), handover information, positional information (cell, TAC etc.), E-RAB bearer management information, (user is attached for NAS information
, authenticate, paging, TA update etc.), S1 interface management information (MME marks, load balancing etc.)；S1-U interface gathers packet
Containing the corresponding wireless side information of customer service, user service data type such as HTTP, IM, Video etc.；The MRO packets of collection
The UE metrical informations such as level, adjacent area are contained.
Overall algorithm flow
By the S1-U to gathering, S1-MME and MRO data are analyzed, and this three partial data can pass through keyword
Duan Guanlian draws customer position information and corresponding metrical information, and specific workflow is as shown in Figure 1：
(1) believed by S1-U interface collection parsing GGSNDATATEID and SGSNDATATEID, BeginTime and URI
Breath, according to existing longitude and latitude form latitude and longitude information is extracted；
(2) XDR information is gathered by S1-MME interface, is closed by ERAB_ULTEID, ERAB_ULTEID, BeginTime
Connection information association is to cell information；
(3) the RSRP data of the point position are obtained with MRO data correlations by cell information and time started.
Preferably, the present embodiment also increases following calibration steps：Arranged by calibration algorithm and effectively covered
It is accurately positioned a little, in order to exclude impact of the geographical environment to propagation path.
The detailed process of data association algorithm is described in detail below in conjunction with Fig. 1.
Data are entered first by the S1-U, the signaling information of S1-MME interface and the MR data with the time period according to collection
Row parsing, exports key message.
The first step, the parsing of S1-U data, parse customer position information
The XDR data (External Data Representation, External Data Representation) of collection S1-U, wherein only needing
Will be comprising fields such as user's longitude and latitude, GGSNDATATEID and SGSNDATATEID.According to mobile interface specification, S1-U's
XDR data current formats see the table below 1
Table 1：The XDR data forms of S1-U
The often row URL character strings of parsing S1-U signalings, parse related information and latitude and longitude information, and related information is straight
Matching GGSNDATATEID and SGSNDATATEID fields are connect, longitude and latitude is then based on following 11 kinds of longitude and latitude string matchings rule
Matched and searched is carried out, according to following corresponding format analysis longitude and latitude and is exported if the match is successful；Concrete 11 kinds of longitudes and latitudes
Form is shown in Table 2.
Table 2- longitude and latitude form tables
| Sequence number | Longitude and latitude keyword |
| 1 | Lng=＆lat=＆ |
| 2 | Lng%3d%lat%3d% |
| 3 | Lat%22%3a%22%lng%22%3a%22% |
| 4 | -lat--lng.json |
| 5 | Lat=＆lon=＆ |
| 6 | Latitude%22%3a%22%longitude%22%3a%22% |
| 7 | Longitude=＆latitude=＆ |
| 8 | Slat=＆slon= |
| 9 | Geoinfo=＆%2c |
| 10 | Location=＆%2c |
| 11 | Q=xx, yy |
The URI data of table 3- parsings
Second step：S1-MME data are parsed, by timestamp, ID association S1-U and S1-MME data
It is similar with the first step, need the XDR information of collection parsing S1-MME, it is only necessary to for associating the ERAB_ for using
DLTEID, RAB_DLTEID, BeginTime, Mmes1apUEId, Eci field is parsed and analyzed, wherein ERAB_ULTEID
The SGSNDATATEID of the GGSNDATATEID of correspondence previous step, RAB_DLTEID correspondence previous step.
Example：One S1-MME data such as table 4：(data corresponding with aforementioned S1-U)
Table 4-S1-MME data
Correlating method is as follows：
1. using GGSNDATATEID, the SGSNDATATEID in S1-U respectively with ERAB_ULTEID in S1-MME,
ERAB_ULTEID is corresponding；
2.S-MME be chain of command interface, S1-U positions interface in the user plane, according to call business flow process, begintime in S1-U
Begintime in S1-MME should be later than, so the data to meeting condition 1 should also meet begintime in S1-U and be later than
Begintime in S1-MME；
Meet conditions above, then it is assumed that S1-U can be matched with the information of S1-MME, output S1-U and S1-MME matching knots
Really, as shown in table 5.
Table 5-S1-U and S1-MME information matches tables
| cellid | begintime | Mmes1apUEId | Latitude | Longitude |
| 137584897 | 2015-7-1516:16 | 50539622 | 31.46682739 | 104.7471008 |
3rd step：With MRO data correlations, by timestamp, MME UE SAP1ID association users positions and RSRP
Using aforementioned Mmes1apUEId, begintime, Eci information for obtaining, with MRO (measurement report sample data texts
Part) Mmes1apUEId, begintime, cellid association in data, correlating method is cellid, MME UE S1AP ID couple
The data field called time in Qian Hou 3 seconds on sampled point in begintime and MRO in answer and above-mentioned table.Remarks：(due to
It is 5120ms that current area MR reports the user of setting to update the time, so before and after three seconds will be arranged on correlation time), as showing
Model a, association results are as shown in table 6.
The data of table 6- and MRO data correlations
Final output result is corresponding level under certain longitude and latitude, as shown in table 7.
The corresponding result of table 7- positioning results and RSRP
An alternative embodiment of the invention as shown in Figure 2, compared with the embodiment shown in Fig. 1, increased calibration output
The step of, it is corrected using TA distances, the accurate longitude and latitude of user and RSRP are obtained, its purpose is to select efficiently sampling
Point, specific check and correction principle and flow process are as shown in Figure 3 and Figure 4.
Calibration output -- effective sampling points are selected, is corrected using TA distances, obtain the accurate longitude and latitude of user and RSRP
Because the source of part latitude and longitude information is architecture, its precision is depended on participating in the base station density of calculating and arrived
Up to main plot distance, the data division of low precision need to be rejected.Concrete principle and flow chart are as shown in Figures 2 and 3.
The method of rejecting is to take cell TA being veritified by main, as shown in figure 3, because geographical environment is to propagation path
Impact, be not straightline propagation (dotted line in Fig. 3, especially intensive city under the base station cell signal ordinary meaning that UE is received
Area), and TA (solid line in the UE that MR is reported to base station distance, Fig. 3) then represents real curve path.And UE longitudes and latitudes and base station
The distance between longitude and latitude difference S_a (straight dashed line of Fig. 3) should be S_a compared with S_ta (curve of Fig. 3) distance<=S_ta is full
The point of sufficient this condition is only effective sampling points.Its algorithm flow is as shown in figure 4, the process of calibration algorithm is exactly to obtain from association
High accuracy data in, obtain and compare S_a and S_ta, and then filter out effective sampling points.
The process of wireless network coverage evaluating
As shown in figure 5, by above-mentioned based on signaling and the network quality monitoring method of MR data, obtain location information and
The RSRP data of assessment network quality, then show RSRP data on high accuracy map according to location information, draw out grid
The MPS process figure formatted, so as to carry out intuitively network coverage assessment.The effective sampling points gathered by above-mentioned location algorithm
Combined high precision map can be pin-pointed to building level, carry out indoor and outdoor user differentiation disease with this and signal quality is commented
Estimate.Sampled point combined high precision map carries out rasterizing analysis, if anchor point is architectural in business premises, cell, factories and miness etc.
Then it is defined as indoor user, the in-door covering point to orienting is analyzed, and can carry out the assessment of the whole network overburden depth；If
Anchor point position is then outdoor user beyond building, and the assessment of outdoor range covering can be carried out in the same manner.
On the basis of above-mentioned wireless network coverage evaluating, the network planning and checking, above-mentioned signal evaluation are further carried out
Result can extend and carry out the work such as Bus stop planning guidance, planning construction compliance test result, obtain preferable effect.
Certainly, the above is the preferred embodiment of the present invention, it is noted that for the ordinary skill of the art
For personnel, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications
It is considered as protection scope of the present invention.
Claims (4)
1. based on signaling and the network quality monitoring method of MR data, it is characterised in that comprise the steps：
Step (1)：Believed by S1-U interface collection parsing GGSNDATATEID and SGSNDATATEID, BeginTime and URI
Breath, according to longitude and latitude form latitude and longitude information is extracted；
Step (2)：XDR information is gathered by S1-MME interface, is closed by ERAB_ULTEID, ERAB_ULTEID, BeginTime
Connection information association is to cell information；
Step (3)：The RSRP data of the MR collection points are obtained with MRO data correlations by cell information and time started.
2. it is according to claim 1 based on signaling and the network quality monitoring method of MR data, it is characterised in that also to increase
The steps：The UE that relatively UE longitudes and latitudes S_a and MR poor with the distance between latitude and longitude of base station is reported is to base station distance S_
Ta filters out effective data, meets S_a<=S_ta is valid data.
3. it is according to claim 1 and 2 based on signaling and the network quality monitoring method of MR data, it is characterised in that to increase
Plus following steps：Combined high precision map carries out rasterizing analysis, according to location information by RSRP data on high accuracy map
Show.
4. based on signaling and the network coverage evaluation method of MR data, it is characterised in that：According to being based on as claimed in claim 3
The network quality monitoring method of signaling and MR data obtains corresponding location information and RSRP data, then will according to location information
RSRP data show on high accuracy map, the coverage diagram of cell are drawn out, so as to carry out the assessment of the network coverage.
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