CN106332117A - Radio link failure (RLF) data-based long term evolution (LTE) network optimization method and device - Google Patents
Radio link failure (RLF) data-based long term evolution (LTE) network optimization method and device Download PDFInfo
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Abstract
The present invention relates to an RLF data-based LTE network optimization method and device. The method comprises the steps of using an LTE system to acquire the RLF data from a or a plurality of LTE base stations periodically; using the LTE system to match the characteristic models of a or a plurality of pre-stored network problems according to the RLF data, wherein the content of the characteristic models comprises the RLF data conditions corresponding to the network problems and the network optimization suggestion schemes; using the LTE system to obtain the network optimization suggestion schemes in the successfully matched characteristic models, and issuing the obtained network optimization suggestion schemes to the corresponding LTE base stations. The RLF data-based LTE network optimization method and device of the present invention can carry out the daily LTE wireless network optimization work intelligently and rapidly.
Description
Technical field
The present invention relates to LTE (Long Term Evolution, Long Term Evolution) moving communicating field, special
Do not relate to a kind of LTE network based on RLF (Radio Link Failure, Radio Link Failure) data
Optimization method and device.
Background technology
Along with the development of wireless network, mobile operator, in order to improve user data service perception, sends out energetically
Exhibition LTE wireless network.In LTE wireless communication system, rapid fading, turning, descending strong jamming are asked
Topic, has a strong impact on network index and user's perception of LTE wireless side.But traditional network problem analysis master
If analysis based on TOPN (best/difference N number of) community and process based on individual problem point, number
According to obtaining difficulty, and analysis method is based primarily upon the experience of network optimization engineer, and cost is high, solves the cycle long.
Therefore, how solving above-mentioned radio network problems is to need badly to solve the technical problem that.
Summary of the invention
It is contemplated that propose a kind of LTE network prioritization scheme based on RLF data, it is possible to intelligence,
It is quickly carried out the work of daily LTE radio network optimization.
In order to solve the problems referred to above, adopt the following technical scheme that.
A kind of Long Term Evolution LTE network optimization method based on Radio Link Failure RLF data, including:
LTE system periodically gathers RLF data from one or more LTE base station；
The spy of one or more network problems that described LTE system prestores according to described RLF Data Matching
Property model；The content of described characteristic model includes: RLF data qualification that described network problem is corresponding and net
Network Optimizing Suggestions scheme；
Described LTE system obtains the network optimization proposed projects in the characteristic model that the match is successful, and by institute
The network optimization proposed projects obtained is issued to corresponding LTE base station.
Alternatively, described network problem includes at least one of:
Physical Cell Identifier PCI confusion, adjacent area leakage are joined, flex point rapid fading, weak covering and overlapping covering.
Alternatively, the RLF data qualification in the characteristic model of described PCI confusion is:
The universal terrestrial Radio Access Network of the evolution of server cell, place when UE receives switching instruction
Cell Global Identifier ECGI is effective, the PCI re-establishing community after RLF occurs and RLF occurs
Time Serving cell PCI identical, and there is the ECGI re-establishing community after RLF and RLF occur
Time Serving cell ECGI different；
Network optimization proposed projects in the characteristic model of described PCI confusion is:
The adjacent area of mistake in the neighbor cell configuration data of base station is deleted, increases correct adjacent area；Or
Revise the PCI of adjacent area or adjust the cell coverage area of described adjacent area.
Alternatively, the RLF data qualification in the characteristic model that the leakage of described adjacent area is joined is:
The PCI re-establishing community after generation RLF is in RLF nearby region measurement, and the reference letter of correspondence
Number receive power RSRP value than occur RLF time Serving cell the big 3dB of RSRP, and generation RLF
Time Serving cell ECGI adjacent area in there is not RLF after the adjacent area of the PCI re-establishing community；
Network optimization proposed projects in the characteristic model that the leakage of described adjacent area is joined is:
The adjacent area that leakage is joined is increased in the neighbor cell configuration data of base station.
Alternatively, the RLF data qualification in the characteristic model of described turning rapid fading is:
The PCI re-establishing community after generation RLF is in RLF nearby region measurement, and the reference letter of correspondence
Number receive power RSRP value than generation RLF time Serving cell the big 3dB of RSRP；
Network optimization proposed projects in the characteristic model of described turning rapid fading is:
Increase at the parting of the ways and the base station of omni cell is provided, or set up super cell.
Alternatively, the RLF data qualification in the characteristic model of described weak covering is:
The RSRP and the strongest adjacent area RSRP of Serving cell during RLF is occurred to be both less than-105dBm；
Network optimization proposed projects in the characteristic model of described weak covering is:
In increase base station, weak overlay area.
Alternatively, the RLF data qualification in the described overlapping characteristic model covered is:
Occur the RSRP of Serving cell during RLF to be more than-110dBm, and RSRP is than the RSRP of main plot
The number of the adjacent cell of-6dB greatly is more than or equal to 3；
Network optimization proposed projects in the described overlapping characteristic model covered is:
Reduce adjacent area coverage.
Alternatively, described LTE system mates the characteristic model bag of each network problem according to RLF data
Include:
Described LTE system by the described RLF data of each base station respectively with the characteristic model of each network problem
In RLF data qualification compare respectively；
When the described RLF data of a base station are consistent with the RLF data qualification in a characteristic model,
The match is successful with this characteristic model to judge the RLF data of this base station.
Alternatively, the network optimization proposed projects during described LTE system obtains the characteristic model that the match is successful
Including:
Described LTE system obtains the matching result of the RLF data of each base station respectively, for the match is successful
RLF data, obtain the network optimization proposed projects in this successful characteristic model of RLF Data Matching,
As the network optimization proposed projects that this RLF data own base station is corresponding.
Alternatively, acquired network optimization proposed projects is issued to corresponding base station bag by described LTE system
Include:
Described LTE system by acquired each network optimization proposed projects respectively by the finger of predetermined format
Order is issued to the LTE base station that this network optimization proposed projects is corresponding.
A kind of Long Term Evolution LTE network based on Radio Link Failure RLF data optimize device, including:
Take module, for periodically gathering RLF data from one or more LTE base station；
Matching module, the spy of the one or more network problems for prestoring according to described RLF Data Matching
Property model；The content of described characteristic model includes: RLF data qualification that described network problem is corresponding and net
Network Optimizing Suggestions scheme；
Processing module, for obtaining the network optimization proposed projects in the characteristic model that the match is successful, and will
Acquired network optimization proposed projects is issued to corresponding LTE base station.
Alternatively, described network problem includes at least one of:
Physical Cell Identifier PCI confusion, adjacent area leakage are joined, flex point rapid fading, weak covering and overlapping covering.
Alternatively, the RLF data qualification in the characteristic model of described PCI confusion is:
The universal terrestrial Radio Access Network of the evolution of server cell, place when UE receives switching instruction
Cell Global Identifier ECGI is effective, the PCI re-establishing community after RLF occurs and RLF occurs
Time Serving cell PCI identical, and there is the ECGI re-establishing community after RLF and RLF occur
Time Serving cell ECGI different；
Network optimization proposed projects in the characteristic model of described PCI confusion is:
The adjacent area of mistake in the neighbor cell configuration data of base station is deleted, increases correct adjacent area；Or
Revise the PCI of adjacent area or adjust the cell coverage area of described adjacent area.
Alternatively, the RLF data qualification in the characteristic model that the leakage of described adjacent area is joined is:
The PCI re-establishing community after generation RLF is in RLF nearby region measurement, and the reference letter of correspondence
Number receive power RSRP value than occur RLF time Serving cell the big 3dB of RSRP, and generation RLF
Time Serving cell ECGI adjacent area in there is not RLF after the adjacent area of the PCI re-establishing community；
Network optimization proposed projects in the characteristic model that the leakage of described adjacent area is joined is:
The adjacent area that leakage is joined is increased in the neighbor cell configuration data of base station.
Alternatively, the RLF data qualification in the characteristic model of described turning rapid fading is:
The PCI re-establishing community after generation RLF is in RLF nearby region measurement, and the reference letter of correspondence
Number receive power RSRP value than generation RLF time Serving cell the big 3dB of RSRP；
Network optimization proposed projects in the characteristic model of described turning rapid fading is:
Increase at the parting of the ways and the base station of omni cell is provided, or set up super cell.
Alternatively, the RLF data qualification in the characteristic model of described weak covering is:
The RSRP and the strongest adjacent area RSRP of Serving cell during RLF is occurred to be both less than-105dBm；
Network optimization proposed projects in the characteristic model of described weak covering is:
In increase base station, weak overlay area.
Alternatively, the RLF data qualification in the described overlapping characteristic model covered is:
Occur the RSRP of Serving cell during RLF to be more than-110dBm, and RSRP is than the RSRP of main plot
The number of the adjacent cell of-6dB greatly is more than or equal to 3；
Network optimization proposed projects in the described overlapping characteristic model covered is:
Reduce adjacent area coverage.
Alternatively, the characteristic model that described matching module mates each network problem according to RLF data is
Refer to:
Described matching module by the described RLF data of each base station respectively with the characteristic model of each network problem
In RLF data qualification compare respectively；Described RLF data and a characteristic when a base station
When RLF data qualification in model is consistent, it is determined that the RLF data of this base station are mated with this characteristic model
Success.
Alternatively, the network optimization proposed projects during described processing module obtains the characteristic model that the match is successful
Refer to:
Described processing module obtains the matching result of the RLF data of each base station respectively, for what the match is successful
RLF data, obtain the network optimization proposed projects in this successful characteristic model of RLF Data Matching, make
For the network optimization proposed projects that this RLF data own base station is corresponding.
Alternatively, acquired network optimization proposed projects is issued to corresponding base station and is by described processing module
Refer to:
Described processing module by acquired each network optimization proposed projects respectively by the finger of predetermined format
Order is issued to the LTE base station that this network optimization proposed projects is corresponding.
First this programme gathers RLF data, incorporation engineering parameter and neighbor cell configuration number from LTE base station side
According to, automatically analyze and orient LTE wireless network anomalous event, and using RLF data as point of penetration,
Establish the identification process of a whole set of location radio network problems characteristic model, finally show that wireless network is asked
Topic, directly gives way to solve the problem on this basis, thus realizes intelligence rapid Optimum work.
The alternative of the present invention segment out PCI confusion, adjacent area leakage join, flex point rapid fading, weak covering and
The problem scenes such as overlapping covering, and solution is provided, excellent to assist network optimization engineer quickly to carry out network
Chemical industry is made.
Other features and advantages of the present invention will illustrate in the following description, and, partly from froming the perspective of
Bright book becomes apparent, or understands by implementing the present invention.The purpose of the present invention is excellent with other
Point can be realized by structure specifically noted in description, claims and accompanying drawing and be obtained
?.
Accompanying drawing explanation
Accompanying drawing is used for providing being further appreciated by technical solution of the present invention, and constitutes one of description
Point, it is used for explaining technical scheme together with embodiments herein, is not intended that the present invention
The restriction of technical scheme.
Fig. 1 is that the RLF in correlation technique reports process schematic；
Fig. 2 is that the flow process of the LTE network optimization methods based on RLF data of the embodiment of the present invention one is shown
It is intended to；
Fig. 3 is the schematic flow sheet implementing example 1；
Fig. 4 is the schematic diagram of one of the PCI confusion scene implementing example 1；
Fig. 5 is the schematic diagram of the two of the PCI confusion scene implementing example 1；
Fig. 6 is the schematic flow sheet implementing example 2；
Fig. 7 is that the schematic diagram joining scene is leaked in the adjacent area implementing example 2；
Fig. 8 is the schematic flow sheet implementing example 3；
Fig. 9 is the schematic diagram of the turning rapid fading scene implementing example 3；
Figure 10 is the schematic diagram of the turning rapid fading solution implementing example 3；
Figure 11 is the schematic flow sheet implementing example 4；
Figure 12 is the schematic diagram of the weak covering scene implementing example 4；
Figure 13 is the schematic flow sheet implementing example 5；
Figure 14 is the schematic diagram of the overlapping covering scene implementing example 5；
Figure 15 is the schematic flow sheet implementing example 6；
Figure 16 is that the flow process of LTE network based on the RLF data optimization device of the embodiment of the present invention two is shown
It is intended to.
Detailed description of the invention
Below in conjunction with drawings and Examples, technical scheme is described in detail.
If it should be noted that do not conflict, each feature in the embodiment of the present invention and embodiment can
To be combined with each other, all within protection scope of the present invention.Although it addition, showing in flow charts and patrol
Collect sequentially, but in some cases, can be to be different from shown or described by order execution herein
Step.
RLF data are for recording the relevant information of LTE exception wireless link chain rupture.RLF data upper
Report process is as it is shown in figure 1, include:
101, UE (user terminal) cannot maintain wireless link by Zai LTE community eNB1, it may be assumed that and
ENB1 abnormal chain scission；
102, UE re-establishes link at community eNB2；
103, eNB2 sends RLF INDICATION (instruction) message to eNB1；
104, RLF INDICATION message is saved as file by eNB1, and the file preserved is exactly
RLF data.
The content of RLF data includes:
1) there is ECGI (the Evolved Universal Terrestrial Radio of Serving cell during RLF
Access Network Cell Global Identifier, the universal terrestrial Radio Access Network community overall situation of evolution
Identifier), PCI (Physical Cell ID, Physical Cell Identifier), RSRP (Reference Signal
Receiving Power, Reference Signal Received Power)；That is: ServerECGI, ServerPCI,
ServerRSRP；
2) there is the PCI list of whole adjacent areas and the RSRP list measured during RLF: NPCI1, NPCI2,
NPCI3…；NRSRP1, NRSRP2, NRSRP3 ...；
3) occur to re-establish community ECGI:ReestablishmentECGI after RLF, joined by engineering
Number, obtains re-establishing the PCI:ReestablishmentPCI of community；
4) from triggering the time interval being switched to RLF: TimeConnFailure；
5) server cell, place ECGI:PreviousHOECGI when UE receives switching instruction.
In LTE system, after UE occurs Radio Link Failure, RLF can be reported to disappear re-establishing community
Breath, base station side collects RLF message and generates RLF data file.
Embodiment one
A kind of LTE network optimization method based on RLF data, including data acquisition, intellectual analysis and
Prioritization scheme implements three phases；As in figure 2 it is shown, described method includes:
S110, collection data.LTE system periodically gathers RLF number from one or more LTE base station
According to.
Wherein, described LTE system prestores the characteristic model of one or more network problem；Described characteristic
The content of model includes: RLF data qualification that described network problem is corresponding and network optimization proposed projects,
The questions and prospect that described network problem is corresponding can also be included.
Described network problem mainly includes following any one or its combination in any: PCI confusion, adjacent area leakage join,
Flex point rapid fading, weak covering and overlapping covering.
Wherein, S110 can also include: described LTE system imports the engineering parameter of each LTE base station in advance
With neighbor cell configuration data.After determining network problem according to the characteristic model that the match is successful, it is also possible to according to
Whether network problem determined by described engineering parameter and/or neighbor cell configuration data check exists, thus enters one
Step improves the accuracy of network problem location.
S120, intellectual analysis.After described LTE system gathers RLF data, start analysis process location
Network problem, particularly as follows: described LTE system mates each network problem according to described RLF data
Characteristic model.
If described RLF data do not mate any one characteristic model, then the flow process in this cycle terminates.Often
If the RLF data that the individual cycle collects are different, then matching result also can be different accordingly.
Wherein, the characteristic model that described LTE system mates each network problem according to RLF data includes:
Described LTE system by the described RLF data of each base station respectively with the characteristic model of each network problem
In RLF data qualification compare respectively；
When the described RLF data of a base station are consistent with the RLF data qualification in a characteristic model,
The match is successful with this characteristic model to judge the RLF data of this base station.
In step 120, LTE system can also be mated according to the priority of network problem, according to institute
State priority order from high to low, the characteristic model of RLF data and network problem is carried out one by one
Join；When the characteristic model high with priority mates unsuccessful, then the characteristic model low with priority is carried out
Coupling.Described predetermined priority order from high to low can be, but not limited to as PCI confusion, adjacent area
Leakage is joined, flex point rapid fading, weak covering and overlapping covering.It is of course also possible to arrange other priority orders,
Or it is not provided with priority, in any order or concurrently by RLF data and the characteristic of each network problem
Model mates.
S130, prioritization scheme are implemented.Described LTE system obtains the network in the characteristic model that the match is successful
Optimizing Suggestions scheme；Acquired network optimization proposed projects is issued to corresponding LTE base station.
Alternatively, the questions and prospect during described LTE system can also obtain the characteristic model that the match is successful.
Wherein, each have their own matching result of RLF data of different base station；The acquisition of described LTE system
The network optimization proposed projects joined in successful characteristic model includes:
Described LTE system obtains the matching result of the RLF data of each base station respectively, for the match is successful
RLF data, obtain the network optimization proposed projects in this successful characteristic model of RLF Data Matching,
As the network optimization proposed projects that this RLF data own base station is corresponding.
Wherein, acquired network optimization proposed projects is issued to corresponding base station bag by described LTE system
Include:
Described LTE system by acquired each network optimization proposed projects respectively by the finger of predetermined format
Order is issued to the LTE base station that this network optimization proposed projects is corresponding.
Wherein, the instruction of described predetermined format can use newly-increased instruction with this, it would however also be possible to employ LTE system
In instructed；The instruction of described predetermined format can be sent, it is also possible to by institute by single message/signaling
The instruction stating predetermined format sends together with being received within other in message/signaling.
Wherein, described network optimization proposed projects includes: adjust the relevant wireless parameter of described LTE base station,
Described relevant wireless parameter includes but not limited to following arbitrary or its combination in any: described LTE base station covers
The neighbor cell configuration data of community, power and the PCI etc. of adjacent area.Wherein adjust building of antenna for base station angle of declination
View scheme performs output preservation and checks, to instruct the subsequent operation of network optimization engineer for network optimization engineer.
Network problem characteristic model storehouses based on RLF data are as shown in the table.
Table one, network problem characteristic model based on RLF data and Optimizing Suggestions
System cycle every day starts the RLF data gathered, and then starts intellectual analysis flow process, matching network
Problem characteristic model, and export Optimizing Suggestions scheme.
Implement example below by six and be described separately the LTE based on RLF data that embodiment one provides
Network optimized approach, the application under each network problem scene.The example below be embodiment one based on
The LTE network optimization method of RLF data execution process in one cycle.
Example 1
Example 1 is network optimized approach during PCI confusion, as it is shown on figure 3, the method includes:
101, LTE system obtains the RLF data of each LTE base station；
102, described LTE system judges the described RLF data of the first LTE base station and PCI confusion
Characteristic model mates；
RLF data qualification in the characteristic model of described PCI confusion is: PreviousHOECGI is effective,
The PCI (ReestablishmentPCI) re-establishing community is identical with ServerPCI, and
ReestablishmentECGI with ServerECGI is different.
103, the network optimization proposed projects during described LTE system obtains the characteristic model of PCI confusion,
It is handed down to described first LTE base station.
PCI confusion specifically has 2 kinds of scenes:
(1) one of scene is as shown in Figure 4, and user terminal UE1 place Serving cell is community A
(Cell-A), PCI is 21；Cell-A, community B (Cell-B) and community C (Cell-C) are respectively
Belong to different base station.
Wherein, the RLF data of Cell-A own base station and the characteristic model of PCI confusion mate.
The strong adjacent area PCI-123 signal that questions and prospect: UE1 reports is from community Cell-B, it is desirable to switching
To Cell-B, but in Serving cell Cell-A neighbor cell configuration data, the adjacent area of PCI-123 is Cell-C,
Now PCI-123 signal is judged as from community Cell-C (the non-overlapping covering of Cell-A and Cell-C by mistake
District), allow Cell-C prepare Radio Resource, cause UE1 cannot capture Cell-C signal, and cause nothing
Wired link failure.
Network optimization proposed projects in the characteristic model of described PCI confusion is: this kind is neighborhood mismatching,
Need to revise the neighbor cell configuration data of Cell-A own base station, delete Cell-C, increase Cell-B.
(2) the two of scene are as it is shown in figure 5, UE1 place Serving cell is Cell-A (PCI-21),
Cell-A, Cell-B and Cell-C are belonging respectively to different base station.
Questions and prospect: with Cell-B and Cell-C of PCI-123, multiplex distance is the nearest, causes and Cell-A
(UE1 is positioned at the overlapping coverage areas of Cell-B and Cell-A, and UE2 is positioned at Cell-C overlapping coverage areas
Overlapping coverage areas with Cell-A), now no matter Cell-A configures Cell-B and Cell-C any one is
Adjacent area, all can cause another overlapping coverage areas Radio Link Failure occur.
Network optimization proposed projects in the characteristic model of described PCI confusion is: big with multiplex distance
PCI replace Cell-B and Cell-C Zhong Yige community PCI, or by under press Downtilt mode
Control one of them cell coverage area of Cell-B and Cell-C, allow it with the non-overlapping area of coverage of Cell-A.
Example 2
Example 2 is the network optimized approach of adjacent area leakage timing, as shown in Figure 6, and including:
201, LTE system obtains the RLF data of each LTE base station；
202, described LTE system judges what the described RLF data of the first LTE base station and adjacent area leakage were joined
Characteristic model mates；
RLF data qualification in the characteristic model that the leakage of described adjacent area is joined is: re-establish the PCI of community
(ReestablishmentPCI) in RLF nearby region measurement, and the RSRP value of correspondence compares ServerRSRP
Big 3dB, and the adjacent area of ServerECGI do not have the adjacent area of ReestablishmentPCI；This belongs to
The RLF that the adjacent area of ReestablishmentPCI causes is joined in ServerECGI leakage.
203, the network optimization proposed projects during described LTE system obtains the characteristic model that adjacent area leakage is joined,
It is handed down to described first LTE base station.
Concrete scene is as it is shown in fig. 7, UE1 place Serving cell is Cell-A (PCI-21), Cell-A
It is belonging respectively to different base station with Cell-B.
RLF reason: user terminal UE1 shifts to Cell-B, Cell-A signal from Cell-A and gradually dies down,
And Cell-B signal gradually becomes strong, but Cell-A no configuration Cell-B is adjacent area, causes Serving cell Cell-A
Signal-to-noise ratio degradation, cause RLF.
Network optimization proposed projects in the characteristic model that the leakage of described adjacent area is joined is: at Cell-A own base station
Neighbor cell configuration data in increase Cell-B be adjacent area.
Example 3
Example 3 is the network optimized approach during rapid fading of turning, as shown in Figure 8, and including:
301, LTE system obtains the RLF data of each LTE base station；
302, described LTE system judges described RLF data and the turning rapid fading of the first LTE base station
Characteristic model coupling；
RLF data qualification in the characteristic model of described turning rapid fading is: re-establish the PCI of community
(ReestablishmentPCI) in RLF nearby region measurement, and the RSRP value of correspondence compares ServerRSRP
Big 3dB, then it is assumed that be the RLF that causes of turning rapid fading.
303, the network optimization proposed projects during described LTE system obtains the characteristic model of turning rapid fading,
It is handed down to described first LTE base station.
Concrete scene is as it is shown in figure 9, RLF reason: on user terminal UE1 right angle road at the parting of the ways
Turn round, cause Serving cell Cell-A signal rapid drawdown, and receive suddenly the strong jamming of Cell-C, cause clothes
The signal-to-noise ratio degradation of business community Cell-A, causes RLF.
Network optimization proposed projects in the characteristic model of described turning rapid fading is: increase at the parting of the ways
(as shown in Figure 10, adding the base station providing community Cell-D, the PCI of Cell-D is in omni cell
5, Cell-D and Cell-A, Cell-C be neighboring BS relationship) or Cell-A and Cell-C is constructed as
Super cell.
Example 4
Example 4 is network optimized approach during weak covering, as shown in figure 11, and including:
401, LTE system obtains the RLF data of each LTE base station；
402, described LTE system judges described RLF data and the spy of weak covering of the first LTE base station
Property Model Matching；
RLF data qualification in the characteristic model of described weak covering is: if ServerRSRP and the strongest
Adjacent area RSRP is both less than-105dBm, then it is assumed that be the RLF that causes of weak covering.
403, the network optimization proposed projects during described LTE system obtains the characteristic model of weak covering, under
Issue described first LTE base station.
Specifically scene is as shown in figure 12, the network optimization proposed projects in the characteristic model of described weak covering
For: in increase base station, weak overlay area.
Example 5
Example 5 attach most importance to superimposition lid time network optimized approach, as shown in figure 13, including:
501, LTE system obtains the RLF data of each LTE base station；
502, described LTE system judges the described RLF data of the first LTE base station and overlapping covers
Characteristic model mates；
RLF data qualification in the described overlapping characteristic model covered is: if
ServerRSRP >-110dBm, and the number of the adjacent cell of RSRP-6dB bigger than the RSRP of main plot
>=3, then it is assumed that be the overlapping RLF covering and causing.
503, the network optimization proposed projects during described LTE system obtains the characteristic model that overlap covers,
It is handed down to described first LTE base station.
Specifically scene is as shown in figure 14, the network optimization suggestion side in the described overlapping characteristic model covered
Case is: in planning overlay area, adjusts Downtilt and reduces adjacent area coverage, thus highlights service
The signal intensity of community.
Example 6
In example 6, according to the priority orders matching properties model one by one of network problem, described priority
Order is: PCI confusion, adjacent area leakage are joined, turning rapid fading, weak covering, overlapping cover；Example 6
Network optimized approach as shown in figure 15, including:
601, LTE system obtains the RLF data of each LTE base station；
602, described LTE system judges whether the described RLF data of the first LTE base station mate PCI
The characteristic model obscured；If coupling, carry out step 607, do not mate, carry out step 603；
603, described LTE system judges whether the described RLF data of described first LTE base station mate
The characteristic model joined is leaked in adjacent area；If coupling, carry out step 607, do not mate, carry out step 604；
604, described LTE system judges whether the described RLF data of described first LTE base station mate
The characteristic model of turning rapid fading；If coupling, carry out step 607, do not mate, carry out step 605；
605, described LTE system judges whether the described RLF data of described first LTE base station mate
The characteristic model of weak covering；If coupling, carry out step 607, do not mate, carry out step 606；
606, whether described LTE system judges the described RLF data of described first LTE base station
The characteristic model that coupling overlap covers；If coupling, carry out step 607, do not mate, terminate first
The process of LTE base station；
607, the network optimization proposed projects during described LTE system obtains the characteristic model that the match is successful,
It is handed down to described first LTE base station.
When not mating each characteristic model successively according to priority orders, can in any order or parallel
Ground and each characteristic model mate.
RLF data qualification and the network optimization proposed projects during coupling can be found in other example above.
Embodiment two, a kind of Long Term Evolution LTE network based on Radio Link Failure RLF data optimize
Device, as shown in figure 16, including:
Take module 71, for periodically gathering RLF data from one or more LTE base station；
Matching module 72, for the one or more network problems prestored according to described RLF Data Matching
Characteristic model；The content of described characteristic model includes: the RLF data qualification that described network problem is corresponding
And network optimization proposed projects；
Processing module 73, for obtaining the network optimization proposed projects in the characteristic model that the match is successful, and
Acquired network optimization proposed projects is issued to corresponding LTE base station.
Alternatively, described network problem includes at least one of:
Physical Cell Identifier PCI confusion, adjacent area leakage are joined, flex point rapid fading, weak covering and overlapping covering.
Alternatively, the RLF data qualification in the characteristic model of described PCI confusion is:
The universal terrestrial Radio Access Network of the evolution of server cell, place when UE receives switching instruction
Cell Global Identifier ECGI is effective, the PCI re-establishing community after RLF occurs and RLF occurs
Time Serving cell PCI identical, and there is the ECGI re-establishing community after RLF and RLF occur
Time Serving cell ECGI different；
Network optimization proposed projects in the characteristic model of described PCI confusion is:
The adjacent area of mistake in the neighbor cell configuration data of base station is deleted, increases correct adjacent area；Or
Revise the PCI of the adjacent area of base station or adjust the cell coverage area of described adjacent area.
Alternatively, the RLF data qualification in the characteristic model that the leakage of described adjacent area is joined is:
The PCI re-establishing community after generation RLF is in RLF nearby region measurement, and the reference letter of correspondence
Number receive power RSRP value than occur RLF time Serving cell the big 3dB of RSRP, and generation RLF
Time Serving cell ECGI adjacent area in there is not RLF after the adjacent area of the PCI re-establishing community；
Network optimization proposed projects in the characteristic model that the leakage of described adjacent area is joined is:
The adjacent area that leakage is joined is increased in the neighbor cell configuration data of base station.
Alternatively, the RLF data qualification in the characteristic model of described turning rapid fading is:
The PCI re-establishing community after generation RLF is in RLF nearby region measurement, and the reference letter of correspondence
Number receive power RSRP value than generation RLF time Serving cell the big 3dB of RSRP；
Network optimization proposed projects in the characteristic model of described turning rapid fading is:
Increase at the parting of the ways and the base station of omni cell is provided, or set up super cell.
Alternatively, the RLF data qualification in the characteristic model of described weak covering is:
The RSRP and the strongest adjacent area RSRP of Serving cell during RLF is occurred to be both less than-105dBm；
Network optimization proposed projects in the characteristic model of described weak covering is:
In increase base station, weak overlay area.
Alternatively, the RLF data qualification in the described overlapping characteristic model covered is:
Occur the RSRP of Serving cell during RLF to be more than-110dBm, and RSRP is than the RSRP of main plot
The number of the adjacent cell of-6dB greatly is more than or equal to 3；
Network optimization proposed projects in the described overlapping characteristic model covered is:
Reduce adjacent area coverage.
Alternatively, described matching module 72 mates the characteristic model of each network problem according to RLF data
Refer to:
Described matching module 72 by the described RLF data of each base station respectively with the characteristic mould of each network problem
RLF data qualification in type is compared respectively；Described RLF data and a spy when a base station
Property model in RLF data qualification consistent time, it is determined that the RLF data of this base station and this characteristic model
It is made into merit.
Alternatively, the network optimization suggestion during described processing module 73 obtains the characteristic model that the match is successful
Scheme refers to:
Described processing module 73 obtains the matching result of the RLF data of each base station respectively, for mating into
The RLF data of merit, obtain the network optimization suggestion side in this successful characteristic model of RLF Data Matching
Case, as the network optimization proposed projects that this RLF data own base station is corresponding.
Alternatively, acquired network optimization proposed projects is issued to corresponding base by described processing module 73
Station refers to:
Acquired each network optimization proposed projects is passed through predetermined format by described processing module 73 respectively
Instruction is issued to the LTE base station that this network optimization proposed projects is corresponding.
One of ordinary skill in the art will appreciate that all or part of step in said method can pass through journey
Sequence instructs related hardware and completes, and described program can be stored in computer-readable recording medium, as only
Read memorizer, disk or CD etc..Alternatively, all or part of step of above-described embodiment can also make
Realize with one or more integrated circuits.Correspondingly, each module/unit in above-described embodiment can be adopted
Realize by the form of hardware, it would however also be possible to employ the form of software function module realizes.The present invention is not restricted to
The combination of the hardware and software of any particular form.
Although the embodiment that disclosed herein is as above, but described content only readily appreciates the present invention
And the embodiment used, it is not limited to the present invention.Technology people in any art of the present invention
Member, on the premise of without departing from the spirit and scope that disclosed herein, can be in the form implemented and thin
Any amendment and change is carried out on joint, but the scope of patent protection of the present invention, still must be with appended right
Claim is defined in the range of standard.
Claims (20)
1. Long Term Evolution LTE network optimization methods based on Radio Link Failure RLF data, its
It is characterised by, including:
LTE system periodically gathers RLF data from one or more LTE base station；
The spy of one or more network problems that described LTE system prestores according to described RLF Data Matching
Property model；The content of described characteristic model includes: RLF data qualification that described network problem is corresponding and net
Network Optimizing Suggestions scheme；
Described LTE system obtains the network optimization proposed projects in the characteristic model that the match is successful, and by institute
The network optimization proposed projects obtained is issued to corresponding LTE base station.
2. the method for claim 1, it is characterised in that described network problem include with down to
One of few:
Physical Cell Identifier PCI confusion, adjacent area leakage are joined, flex point rapid fading, weak covering and overlapping covering.
3. method as claimed in claim 2, it is characterised in that the characteristic model of described PCI confusion
In RLF data qualification be:
The universal terrestrial Radio Access Network of the evolution of server cell, place when UE receives switching instruction
Cell Global Identifier ECGI is effective, the PCI re-establishing community after RLF occurs and RLF occurs
Time Serving cell PCI identical, and there is the ECGI re-establishing community after RLF and RLF occur
Time Serving cell ECGI different；
Network optimization proposed projects in the characteristic model of described PCI confusion is:
The adjacent area of mistake in the neighbor cell configuration data of base station is deleted, increases correct adjacent area；Or
Revise the PCI of adjacent area or adjust the cell coverage area of described adjacent area.
4. method as claimed in claim 2, it is characterised in that the characteristic model joined is leaked in described adjacent area
In RLF data qualification be:
The PCI re-establishing community after generation RLF is in RLF nearby region measurement, and the reference letter of correspondence
Number receive power RSRP value than occur RLF time Serving cell the big 3dB of RSRP, and generation RLF
Time Serving cell ECGI adjacent area in there is not RLF after the adjacent area of the PCI re-establishing community；
Network optimization proposed projects in the characteristic model that the leakage of described adjacent area is joined is:
The adjacent area that leakage is joined is increased in the neighbor cell configuration data of base station.
5. method as claimed in claim 2, it is characterised in that the characteristic mould of described turning rapid fading
RLF data qualification in type is:
The PCI re-establishing community after generation RLF is in RLF nearby region measurement, and the reference letter of correspondence
Number receive power RSRP value than generation RLF time Serving cell the big 3dB of RSRP；
Network optimization proposed projects in the characteristic model of described turning rapid fading is:
Increase at the parting of the ways and the base station of omni cell is provided, or set up super cell.
6. method as claimed in claim 2, it is characterised in that in the characteristic model of described weak covering
RLF data qualification be:
The RSRP and the strongest adjacent area RSRP of Serving cell during RLF is occurred to be both less than-105dBm；
Network optimization proposed projects in the characteristic model of described weak covering is:
In increase base station, weak overlay area.
7. method as claimed in claim 2, it is characterised in that the described overlapping characteristic model covered
In RLF data qualification be:
Occur the RSRP of Serving cell during RLF to be more than-110dBm, and RSRP is than the RSRP of main plot
The number of the adjacent cell of-6dB greatly is more than or equal to 3；
Network optimization proposed projects in the described overlapping characteristic model covered is:
Reduce adjacent area coverage.
8. the method as according to any one of claim 1 to 7, it is characterised in that described LTE system
The characteristic model that system mates each network problem according to RLF data includes:
Described LTE system by the described RLF data of each base station respectively with the characteristic model of each network problem
In RLF data qualification compare respectively；
When the described RLF data of a base station are consistent with the RLF data qualification in a characteristic model,
The match is successful with this characteristic model to judge the RLF data of this base station.
9. method as claimed in claim 8, it is characterised in that described LTE system obtains mates into
Network optimization proposed projects in the characteristic model of merit includes:
Described LTE system obtains the matching result of the RLF data of each base station respectively, for the match is successful
RLF data, obtain the network optimization proposed projects in this successful characteristic model of RLF Data Matching,
As the network optimization proposed projects that this RLF data own base station is corresponding.
10. method as claimed in claim 9, it is characterised in that described LTE system is by acquired
Network optimization proposed projects be issued to corresponding base station and include:
Described LTE system by acquired each network optimization proposed projects respectively by the finger of predetermined format
Order is issued to the LTE base station that this network optimization proposed projects is corresponding.
11. 1 kinds of Long Term Evolution LTE network based on Radio Link Failure RLF data optimize device,
It is characterized in that, including:
Take module, for periodically gathering RLF data from one or more LTE base station；
Matching module, the spy of the one or more network problems for prestoring according to described RLF Data Matching
Property model；The content of described characteristic model includes: RLF data qualification that described network problem is corresponding and net
Network Optimizing Suggestions scheme；
Processing module, for obtaining the network optimization proposed projects in the characteristic model that the match is successful, and will
Acquired network optimization proposed projects is issued to corresponding LTE base station.
12. devices as claimed in claim 11, it is characterised in that described network problem includes following
At least one:
Physical Cell Identifier PCI confusion, adjacent area leakage are joined, flex point rapid fading, weak covering and overlapping covering.
13. devices as claimed in claim 12, it is characterised in that the characteristic mould of described PCI confusion
RLF data qualification in type is:
The universal terrestrial Radio Access Network of the evolution of server cell, place when UE receives switching instruction
Cell Global Identifier ECGI is effective, the PCI re-establishing community after RLF occurs and RLF occurs
Time Serving cell PCI identical, and there is the ECGI re-establishing community after RLF and RLF occur
Time Serving cell ECGI different；
Network optimization proposed projects in the characteristic model of described PCI confusion is:
The adjacent area of mistake in the neighbor cell configuration data of base station is deleted, increases correct adjacent area；Or
Revise the PCI of adjacent area or adjust the cell coverage area of described adjacent area.
14. devices as claimed in claim 12, it is characterised in that the characteristic mould joined is leaked in described adjacent area
RLF data qualification in type is:
The PCI re-establishing community after generation RLF is in RLF nearby region measurement, and the reference letter of correspondence
Number receive power RSRP value than occur RLF time Serving cell the big 3dB of RSRP, and generation RLF
Time Serving cell ECGI adjacent area in there is not RLF after the adjacent area of the PCI re-establishing community；
Network optimization proposed projects in the characteristic model that the leakage of described adjacent area is joined is:
The adjacent area that leakage is joined is increased in the neighbor cell configuration data of base station.
15. devices as claimed in claim 12, it is characterised in that the characteristic of described turning rapid fading
RLF data qualification in model is:
The PCI re-establishing community after generation RLF is in RLF nearby region measurement, and the reference letter of correspondence
Number receive power RSRP value than generation RLF time Serving cell the big 3dB of RSRP；
Network optimization proposed projects in the characteristic model of described turning rapid fading is:
Increase at the parting of the ways and the base station of omni cell is provided, or set up super cell.
16. devices as claimed in claim 12, it is characterised in that the characteristic model of described weak covering
In RLF data qualification be:
The RSRP and the strongest adjacent area RSRP of Serving cell during RLF is occurred to be both less than-105dBm；
Network optimization proposed projects in the characteristic model of described weak covering is:
In increase base station, weak overlay area.
17. devices as claimed in claim 12, it is characterised in that the described overlapping characteristic mould covered
RLF data qualification in type is:
Occur the RSRP of Serving cell during RLF to be more than-110dBm, and RSRP is than the RSRP of main plot
The number of the adjacent cell of-6dB greatly is more than or equal to 3；
Network optimization proposed projects in the described overlapping characteristic model covered is:
Reduce adjacent area coverage.
18. devices as according to any one of claim 11 to 17, it is characterised in that described coupling
The characteristic model that module mates each network problem according to RLF data refers to:
Described matching module by the described RLF data of each base station respectively with the characteristic model of each network problem
In RLF data qualification compare respectively；Described RLF data and a characteristic when a base station
When RLF data qualification in model is consistent, it is determined that the RLF data of this base station are mated with this characteristic model
Success.
19. devices as claimed in claim 18, it is characterised in that described processing module obtains coupling
Successfully the network optimization proposed projects in characteristic model refers to:
Described processing module obtains the matching result of the RLF data of each base station respectively, for what the match is successful
RLF data, obtain the network optimization proposed projects in this successful characteristic model of RLF Data Matching, make
For the network optimization proposed projects that this RLF data own base station is corresponding.
20. devices as claimed in claim 19, it is characterised in that described processing module is by acquired
Network optimization proposed projects be issued to corresponding base station and refer to:
Described processing module by acquired each network optimization proposed projects respectively by the finger of predetermined format
Order is issued to the LTE base station that this network optimization proposed projects is corresponding.
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| CN201510351061.7A CN106332117A (en) | 2015-06-23 | 2015-06-23 | Radio link failure (RLF) data-based long term evolution (LTE) network optimization method and device |
| PCT/CN2015/094023 WO2016206280A1 (en) | 2015-06-23 | 2015-11-06 | Rlf-data-based lte network optimization method and device |
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| CN201510351061.7A CN106332117A (en) | 2015-06-23 | 2015-06-23 | Radio link failure (RLF) data-based long term evolution (LTE) network optimization method and device |
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