CN108111248A - A kind of atmospheric duct interference optimization method and system - Google Patents
A kind of atmospheric duct interference optimization method and system Download PDFInfo
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- CN108111248A CN108111248A CN201711476063.4A CN201711476063A CN108111248A CN 108111248 A CN108111248 A CN 108111248A CN 201711476063 A CN201711476063 A CN 201711476063A CN 108111248 A CN108111248 A CN 108111248A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04J—MULTIPLEX COMMUNICATION
- H04J11/00—Orthogonal multiplex systems, e.g. using WALSH codes
- H04J11/0023—Interference mitigation or co-ordination
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04J—MULTIPLEX COMMUNICATION
- H04J11/00—Orthogonal multiplex systems, e.g. using WALSH codes
- H04J11/0023—Interference mitigation or co-ordination
- H04J11/005—Interference mitigation or co-ordination of intercell interference
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04J—MULTIPLEX COMMUNICATION
- H04J11/00—Orthogonal multiplex systems, e.g. using WALSH codes
- H04J11/0069—Cell search, i.e. determining cell identity [cell-ID]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04J—MULTIPLEX COMMUNICATION
- H04J11/00—Orthogonal multiplex systems, e.g. using WALSH codes
- H04J11/0069—Cell search, i.e. determining cell identity [cell-ID]
- H04J11/0086—Search parameters, e.g. search strategy, accumulation length, range of search, thresholds
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- H04W16/10—Dynamic resource partitioning
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Abstract
The invention discloses a kind of atmospheric duct interference optimization method and system, method and system of the invention is ranked up according to scene information to being disturbed cell, and searches for interference source by way of being classified and expanding, and realizes the accurate positionin to interference source；And priority division is carried out to interfered cell, each cell is adjusted in real time according to priority；Simultaneously using real-time dynamic data acquisition, with 1 it is small when as an optimization granularity carry out Automatic Optimal adjustment, so as to fulfill to interfered cell it is effective, optimize in time.The present invention can be widely applied to the communications field as a kind of atmospheric duct interference optimization method and system.
Description
Technical field
The present invention relates to the communications field, especially a kind of atmospheric duct interference optimization method and system.
Background technology
Under certain meteorological condition, electromagnetic wave can be by atmospheric refraction when atmospheric boundary layer is especially in near-earth Es-region propagations
It influences, propagation trajectories bend towards ground, and when curvature is more than earth surface curvature, electromagnetic wave part can be trapped in certain thickness
In air thin layer, for similar electromagnetic wave in the lossless propagation of approximation of metallic waveguide, this phenomenon is known as the atmospheric wave of electromagnetic wave
Lead propagation.Ducting can cause remote co-channel interference for communication TD-LTE system, have that coverage is wide, interference
The features such as randomness is strong, interference strength is big, interference band is single, and impacted mainly F-band, percent of call completed, drop rate are cut
It changes power into and is subject to different degrees of harmful effect.
For this purpose, existing atmospheric duct interference optimization scheme detects the presence of atmospheric duct interference by ad hoc fashion
Afterwards, the localization method based on administrative division finds interference source base station, and interference limitation is then carried out to interference source base station, but existing
With the presence of the following defect of detection scheme：
1st, detection mode is inaccurate, it is impossible to effectively identify that atmospheric duct disturbs, find behind base station but cannot effectively into
Row interference is intervened, it is impossible to effectively cope with the influence that atmospheric duct disturbs disturbed base station.
The 2nd, if administrative region central point is deviateed too far in serious interference region or interference source is not consistent with actual, no
Interference source base station can effectively be searched out.
3rd, existing scheme technology shortcoming considers dynamic change situation after atmospheric duct interference generation, it is impossible to tackle air in real time
Waveguide interference source or the variation for being disturbed cell.
The content of the invention
In order to solve the above-mentioned technical problem, the purpose of the present invention is：A kind of Real-time and Dynamic Detection is provided, is accurately positioned interference
The atmospheric duct interference optimization method in source.
In order to solve the above-mentioned technical problem, it is another object of the present invention to：A kind of Real-time and Dynamic Detection is provided, is accurately positioned
The atmospheric duct interference optimization system of interference source.
The technical solution adopted in the present invention is：A kind of atmospheric duct interference optimization method, includes following steps：
A, the jamming performance measurement data of the whole network LTE cells is gathered；
B, the scene information of LTE cells is read, retains the jamming performance measurement data of F-band LTE cells, is believed according to scene
Breath classifies to LTE cells, and then the LTE cells of each scene information classification are arranged according to annoyance level descending again；
C, first LTE cell clusters cell as the first order in being classified using each scene information, is clustered with the first order small
Each LTE cells in area are searched as center, and according to the clustering distance threshold value that the corresponding scene information of each LTE cells is classified
Other LTE cells in the corresponding scene information classification of the rope LTE cells record all distances with center and are less than clustering distance
Cluster search results are disturbed in the conduct of threshold value for the first time；
D, corresponded to using each LTE cells of last interference cluster search results as center, and according to each LTE cells
Scene information classification the corresponding scene information classification of the clustering distance threshold search LTE cells in other LTE cells, note
All and center distances are recorded less than this interference cluster search results of the conduct of clustering distance threshold value；If this interference cluster is searched
The number of cells of hitch fruit and the ratio of the number of cells of last interference cluster search results are more than given threshold, then hold again
Row step D；
E, the first order cluster cell repeatedly disturbs cluster search results with what is obtained according to first order cluster cell
Union clusters cell as first order interference region；
F, classify to remaining LTE cells for each scene information and arranged according to annoyance level descending, then according to step
Method in rapid C and D is handled, and is obtained next stage and is clustered cell and gathered according to the multiple interference that next stage cluster cell obtains
The union of class search result clusters cell as next stage interference region；This step is repeated until all LTE cells are drawn
It assigns in wherein level-one interference region cluster cell；
G, the central point of interference region cluster cells at different levels is calculated；
H, the central point division interference cell-of-origin of cell is clustered according to interference regions at different levels, according to height above sea level, stand height and LTE days
Line angle of declination is to the LTE cell prioritizations of interference cell-of-origin；
I, the LTE number of cells of interference region cluster cells at different levels and the average value of jamming performance measurement data are calculated,
And according to above-mentioned quantity and average value, to respective priority in the corresponding interference cell-of-origin of interference regions at different levels cluster cell
LTE cells are adjusted.
Further, gathered in the step A be when previous small in the jamming performances of the whole network LTE cells measure number
According to.
Further, in the step A jamming performance measurement data include the period, cell name, frequency range, on 100 PRB
Row interference level value.
Further, the specific method of calculating interference region cluster center of housing estate point is in the step G：Gathered with interference region
The average value of each LTE cells is as central point in class cell.
Further, the specific method of calculating interference region cluster center of housing estate point is in the step G：Gathered with interference region
The midpoint of the boundary rectangle of all LTE set of cells is as central point in class cell.
Further, in the step H, the height above sea level and the sum of height, the LTE antenna angle of declination proportional with priority of standing
It is in inverse ratio with priority.
Another technical solution of the present invention is：A kind of atmospheric duct interference optimization system, includes：
Data acquisition module, for gathering the jamming performance measurement data of the whole network LTE cells；
Classification and ordination module for reading the scene information of LTE cells, retains the jamming performance measurement of F-band LTE cells
Data classify to LTE cells according to scene information, then again to each scene information classification LTE cells according to interference
Degree descending arranges；
Cluster seeking module is disturbed, for being clustered using first LTE cell in the classification of each scene information as the first order
Cell, using each LTE cells in first order cluster cell as center, and according to the corresponding scene information of each LTE cells
Other LTE cells in the corresponding scene information classification of the clustering distance threshold search of the classification LTE cells, record all in
Cluster search results are disturbed in the conduct that the distance of the heart is less than clustering distance threshold value for the first time；
Then using each LTE cells of last interference cluster search results as center, and according to each LTE cells pair
Other LTE cells in the corresponding scene information classification of the clustering distance threshold search LTE cells for the scene information classification answered,
All and center distances are recorded less than this interference cluster search results of the conduct of clustering distance threshold value；If this interference cluster
The number of cells of search result and the ratio of the number of cells of last interference cluster search results are more than given threshold, then again
Perform interference cluster seeking；
First order cluster cell with according to the first order cluster that cell obtains multiple interference cluster search results and
Collection clusters cell as first order interference region；
Calling classification sorting module classifies to remaining LTE cells for each scene information arranges according to annoyance level descending
Row, then handled according to above-mentioned steps, obtain next stage cluster cell with according to next stage cluster cell obtain it is multiple
The union of cluster search results is disturbed to cluster cell as next stage interference region；It repeats until all LTE cells are drawn
It assigns in wherein level-one interference region cluster cell；
Center point calculation module, for calculating the central point of interference region cluster cells at different levels；
Priority division module, for clustering the central point division interference cell-of-origin of cell, root according to interference regions at different levels
According to height above sea level, LTE cell prioritization of the high and LTE antenna angle of declination to interference cell-of-origin of standing；
Interference optimization module is surveyed for calculating the LTE number of cells of interference region cluster cells at different levels and jamming performance
The average value of data is measured, and according to above-mentioned quantity and average value, interference cell-of-origin corresponding to interference regions at different levels cluster cell
The LTE cells of middle respective priority are adjusted.
Further, the data collecting module collected be when previous small in the jamming performances of the whole network LTE cells survey
Measure data.
Further, the center point calculation module calculates the average value conduct of each LTE cells in interference region cluster cell
Central point.
Further, the center point calculation module calculates the external of all LTE set of cells in interference region cluster cell
The midpoint of rectangle is as central point.
The beneficial effects of the invention are as follows：By the method for the present invention and system, carried out according to scene information to being disturbed cell
Sequence, and interference source is searched for by way of being classified and expanding, realize the accurate positionin to interference source；And interfered cell is carried out excellent
First grade division, adjusts each cell according to priority in real time；Simultaneously using real-time dynamic data acquisition, with 1 it is small when make
For optimization granularity carry out Automatic Optimal adjustment, so as to fulfill to interfered cell it is effective, optimize in time.
Description of the drawings
Fig. 1 is the step flow chart of the method for the present invention；
Fig. 2 is the central point calculation code that interference regions at different levels cluster cell in a specific embodiment of the invention.
Specific embodiment
The specific embodiment of the present invention is described further below in conjunction with the accompanying drawings：
With reference to Fig. 1, a kind of atmospheric duct interference optimization method includes following steps：
A, the jamming performance measurement data of the whole network LTE cells is gathered；
LTE atmospheric duct interference optimizations grid connects webmaster, and data center's function automatic collection the whole network LTE cells are every
The jamming performance measurement data (STS) of hour granularity, gathers period t value 0-23, and wherein jamming performance measurement data includes
Period, cell name, frequency range, 100 PRB uplink interference level values.
B, the scene information of LTE cells is read, retains the jamming performance measurement data of F-band LTE cells, is believed according to scene
Breath classifies to LTE cells, and then the LTE cells of each scene information classification are arranged according to annoyance level descending again；
The scene information of configured LTE cells is specially read, for jamming performance data, judges that cell configures one by one
The cell for being configured to D frequency ranges and E frequency ranges is carried out data rejecting by frequency range, and the final jamming performance for retaining F-band LTE cells is surveyed
Data are measured, are classified according to scene information to LTE cells, then again to the LTE cells that each scene information is classified according to dry
Disturb the arrangement of degree descending.The classification of the scene information includes：Garden in university, super expressway, city waters, general scene,
Rise residential group, Central commerce district, villages within the city, suburb rural, room point, large stadium, high-speed railway, subway, marine site are husky
Unconcerned region (super remote) etc..
C, first LTE cell clusters cell as the first order in being classified using each scene information, is clustered with the first order small
Each LTE cells in area are searched as center, and according to the clustering distance threshold value that the corresponding scene information of each LTE cells is classified
Other LTE cells in the corresponding scene information classification of the rope LTE cells record all distances with center and are less than clustering distance
Cluster search results are disturbed in the conduct of threshold value for the first time；
For multiple LTE cells that first order cluster cell includes, wherein each LTE cells are a scene information
The highest cell of annoyance level in classification；Can set different clustering distance threshold values for different scene information classification, away from
From other interfered cells that same scene is searched in threshold range, as long as other interfered cells and first cluster minizone distance
Less than or equal to default distance threshold then as interference cluster search results for the first time, record first time interference cluster search results
Number of cells be K1.
D, corresponded to using each LTE cells of last interference cluster search results as center, and according to each LTE cells
Scene information classification the corresponding scene information classification of the clustering distance threshold search LTE cells in other LTE cells, note
All and center distances are recorded less than this interference cluster search results of the conduct of clustering distance threshold value；If this interference cluster is searched
The number of cells of hitch fruit and the ratio of the number of cells of last interference cluster search results are more than given threshold, then hold again
Row step D；
Such as it after interference cluster search results for the first time are obtained, is passed through respectively with each cell in first time search result
Centered on latitude coordinate, second of interference cluster seeking is carried out according to the identical method of first time interference search, record is dry for the second time
The number of cells for disturbing cluster search results is K2.It calculates：The number of cells of this interference cluster search results/last time interference is poly-
Z is compared in the number of cells of class search result=cluster expansion.Such as：K2/K1=Z1, Z1 are then the expansion ratios that second of search is
Example, given threshold 20% when Z1 is less than 20%, without disturbing cluster seeking next time, 20% are when Z1 is greater than or equal to
Continue third time interference cluster seeking.
E, the first order cluster cell repeatedly disturbs cluster search results with what is obtained according to first order cluster cell
Union clusters cell as first order interference region；
F, classify to remaining LTE cells for each scene information and arranged according to annoyance level descending, then according to step
Method in rapid C and D is handled, and is obtained next stage and is clustered cell and gathered according to the multiple interference that next stage cluster cell obtains
The union of class search result clusters cell as next stage interference region；This step is repeated until all LTE cells are drawn
It assigns in wherein level-one interference region cluster cell；
When still there is interfered cell not to be clustered under the scene, exclude to have done in all cells under the scene
After the cell for disturbing cluster, the annoyance level size of cell is ranked up again, with the warp of the interference largest cell of the minor sort
It is small to carry out second batch as center according to the clustering distance threshold value of the scene minizone of setting and cluster expansion ratio for latitude coordinate
The cluster in area, cluster cell of the gained cluster search results as the second interference region.And so on, until small under the scene
Area is all included into each interference region.
It needs to calculate the distance between two cells in above-mentioned steps, so as to compared with clustering distance threshold value.Cell
Between distance computational methods it is as follows：
If the longitude of cell is A, latitude B, then the space coordinates of this point is x=cos (B) * cos (A), y=cos (B) *
The space coordinates that sin (A), z=sin (B) set two websites is respectively (x1, y1, z1) and (x2, y2, z2), then their angle is
C=acos (x1*x2+y1*y2+z1*z2), C are angles, then two places distance is C/180*pi*R, and wherein R is earth mean radius
6371 errors are no more than 1%, if the longitude and latitude of the first point A is (LonA, LatA), the longitude and latitude of second point B for (LonB,
LatB), according to the benchmark of 0 degree of warp, the positive value (Longitude) of east longitude degree of learning from else's experience, west longitude degree of learning from else's experience negative value (-
Longitude), north latitude takes 90- latitude values (90-Latitude), and south latitude takes 90+ latitude values (90+Latitude), then by upper
It states at 2 points after treating and is counted as (MLonA, MLatA) and (MLonB, MLatB).Calculate the equation below of two point distances：
C=sin (MLatA) * sin (MLatB) * cos (MLonA-MLonB)
+cos(MLatA)*cos(MLatB)
Distance=R*Arccos (C) * Pi/180
Wherein, R and Distance units are identical, if using 6371.004 kms as radius, then
Distance is exactly km for unit, if it is desired that with other unit, such as mile, it is also necessary to do unit conversion, 1 km=
0.621371192mile, if only making positive and negative processing to longitude, without making 90-Latitude to latitude (assuming that being all north half
Ball, the Southern Hemisphere only have Australia to have application value) processing, then formula will be：C=sin (LatA) * sin (LatB)+cos
(LatA)*cos(LatB)*cos(MLonA-MLonB)
Distance=R*Arccos (C) * Pi/180.
G, the central point of interference region cluster cells at different levels is calculated；
There are many computational methods of the central point, and two of which is enumerated in the embodiment of the present invention：
Method 1, using interference region cluster cell in each LTE cells average value as central point, specifically can refer to such as Fig. 2
Shown code.
Method 2 clusters the midpoint of the boundary rectangle of all LTE set of cells in cell using interference region as central point,
Specifically it can refer to the following formula：
The maximum longitude of atmospheric duct cell, minimum longitude, maximum latitude, minimum latitude in input area.
Interference region center latitude=(maximum longitude+minimum longitude)/2
Interference region center latitude=(maximum latitude+minimum latitude)/2
H, the central point division interference cell-of-origin of cell is clustered according to interference regions at different levels, according to height above sea level, stand height and LTE days
Line angle of declination is to the LTE cell prioritizations of interference cell-of-origin；
Using the central point of each interference region as the center of circle, the cell in the region in 60-180km scope annulus is as interference
Source region cell, the sum of the height above sea level and station height are proportional with priority, and the LTE antenna angle of declination is in inverse ratio with priority,
The present invention can refer to following table with the grade classification in specific embodiment：
Height above sea level and stand height the sum of of the longitudinal data for cell, horizontal data are LTE antenna angle of declination in table, and A, B, C are small
Priority corresponding to area, height above sea level are adjusted with the sum of station height cell preference bigger, that LTE antenna angle of declination is smaller.
I, the LTE number of cells of interference region cluster cells at different levels and the average value of jamming performance measurement data are calculated,
And according to above-mentioned quantity and average value, to respective priority in the corresponding interference cell-of-origin of interference regions at different levels cluster cell
LTE cells are adjusted；
Specific adjustment foundation can refer to following scheme：
The first adjustment section：It is right when area interference number is less than or equal to 50 or interference average value is less than or equal to -100db
The regulating object of the A level cells Adjusted Option as an optimization in interference source region should be exported.
Second adjustment section：When area interference number arrives -90db between 50 to 200 or interference average value between -100db
When, the regulating object of A, B level cell in corresponding output interference source region Adjusted Option as an optimization.
3rd adjustment section：When area interference number is more than 200 or interference average value is more than -90db, corresponding output is dry
Disturb the regulating object of A, B, C level cell in source region Adjusted Option as an optimization.
Set area interference quantity threshold and interference average value threshold value can be according to specific in above three adjustment section
Demand is configured.
A kind of corresponding above-mentioned atmospheric duct interference optimization method, the present invention accordingly also provide a kind of atmospheric duct interference optimization
System includes：
Data acquisition module, for gathering the jamming performance measurement data of the whole network LTE cells；
Classification and ordination module for reading the scene information of LTE cells, retains the jamming performance measurement of F-band LTE cells
Data classify to LTE cells according to scene information, then again to each scene information classification LTE cells according to interference
Degree descending arranges；
Cluster seeking module is disturbed, for being clustered using first LTE cell in the classification of each scene information as the first order
Cell, using each LTE cells in first order cluster cell as center, and according to the corresponding scene information of each LTE cells
Other LTE cells in the corresponding scene information classification of the clustering distance threshold search of the classification LTE cells, record all in
Cluster search results are disturbed in the conduct that the distance of the heart is less than clustering distance threshold value for the first time；
Then using each LTE cells of last interference cluster search results as center, and according to each LTE cells pair
Other LTE cells in the corresponding scene information classification of the clustering distance threshold search LTE cells for the scene information classification answered,
All and center distances are recorded less than this interference cluster search results of the conduct of clustering distance threshold value；If this interference cluster
The number of cells of search result and the ratio of the number of cells of last interference cluster search results are more than given threshold, then again
Perform interference cluster seeking；
First order cluster cell with according to the first order cluster that cell obtains multiple interference cluster search results and
Collection clusters cell as first order interference region；
Calling classification sorting module classifies to remaining LTE cells for each scene information arranges according to annoyance level descending
Row, then handled according to above-mentioned steps, obtain next stage cluster cell with according to next stage cluster cell obtain it is multiple
The union of cluster search results is disturbed to cluster cell as next stage interference region；It repeats until all LTE cells are drawn
It assigns in wherein level-one interference region cluster cell；
Center point calculation module, for calculating the central point of interference region cluster cells at different levels；
Priority division module, for clustering the central point division interference cell-of-origin of cell, root according to interference regions at different levels
According to height above sea level, LTE cell prioritization of the high and LTE antenna angle of declination to interference cell-of-origin of standing；
Interference optimization module is surveyed for calculating the LTE number of cells of interference region cluster cells at different levels and jamming performance
The average value of data is measured, and according to above-mentioned quantity and average value, interference cell-of-origin corresponding to interference regions at different levels cluster cell
The LTE cells of middle respective priority are adjusted.
Be further used as preferred embodiment, the data collecting module collected be when previous small in the whole network
The jamming performance measurement data of LTE cells.
Preferred embodiment is further used as, the center point calculation module calculates each in interference region cluster cell
The average value of LTE cells is as central point.
Preferred embodiment is further used as, the center point calculation module calculates to be owned in interference region cluster cell
The midpoint of the boundary rectangle of LTE set of cells is as central point.
The above are implementing to be illustrated to the preferable of the present invention, but the invention is not limited to the implementation
Example, those skilled in the art can also make a variety of equivalents on the premise of without prejudice to spirit of the invention or replace
It changes, these equivalent deformations or replacement are all contained in the application claim limited range.
Claims (10)
1. a kind of atmospheric duct interference optimization method, which is characterized in that include following steps：
A, the jamming performance measurement data of the whole network LTE cells is gathered；
B, the scene information of LTE cells is read, retains the jamming performance measurement data of F-band LTE cells, according to scene information pair
LTE cells are classified, and then the LTE cells of each scene information classification are arranged according to annoyance level descending again；
C, first LTE cell clusters cell as the first order in being classified using each scene information, is clustered with the first order in cell
Each LTE cells as center, and the clustering distance threshold search classified according to the corresponding scene information of each LTE cells should
Other LTE cells in the corresponding scene information classification of LTE cells record all distances with center and are less than clustering distance threshold value
Conduct for the first time interference cluster search results；
D, using each LTE cells of last interference cluster search results as center, and according to the corresponding field of each LTE cells
Other LTE cells in the corresponding scene information classification of the clustering distance threshold search of the scape information classification LTE cells, record institute
Have with the distance at center less than this interference cluster search results of the conduct of clustering distance threshold value；If this interference cluster seeking knot
The number of cells of fruit and the ratio of the number of cells of last interference cluster search results are more than given threshold, then perform step again
Rapid D；
E, union of the first order cluster cell with clustering the multiple interference cluster search results that cell obtains according to the first order
Cell is clustered as first order interference region；
F, classify to remaining LTE cells for each scene information and arranged according to annoyance level descending, then according to step C and
Method in D is handled, and is obtained next stage cluster cell and is searched with the multiple interference cluster obtained according to next stage cluster cell
The union of hitch fruit clusters cell as next stage interference region；This step is repeated until all LTE cells are divided into
Wherein in level-one interference region cluster cell；
G, the central point of interference region cluster cells at different levels is calculated；
H, the central point division interference cell-of-origin of cell is clustered according to interference regions at different levels, according to height above sea level, is stood under high and LTE antenna
Inclination angle is to the LTE cell prioritizations of interference cell-of-origin；
I, the LTE number of cells of interference region cluster cells at different levels and the average value of jamming performance measurement data, and root are calculated
It is small to the LTE of respective priority in the corresponding interference cell-of-origin of interference regions at different levels cluster cell according to above-mentioned quantity and average value
Area is adjusted.
2. a kind of atmospheric duct interference optimization method according to claim 1, it is characterised in that：It is gathered in the step A
Be when previous small in the whole network LTE cells jamming performance measurement data.
3. a kind of atmospheric duct interference optimization method according to claim 1, it is characterised in that：It is disturbed in the step A
Performance measurement data includes period, cell name, frequency range, 100 PRB uplink interference level values.
4. a kind of atmospheric duct interference optimization method according to claim 1, it is characterised in that：It is calculated in the step G
Interference region cluster center of housing estate point specific method be：Using interference region cluster cell in each LTE cells average value as
Central point.
5. a kind of atmospheric duct interference optimization method according to claim 1, it is characterised in that：It is calculated in the step G
Interference region cluster center of housing estate point specific method be：With interference region cluster cell in all LTE set of cells it is external
The midpoint of rectangle is as central point.
6. a kind of atmospheric duct interference optimization method according to claim 1, it is characterised in that：It is described in the step H
Height above sea level and the sum of station height are proportional with priority, and the LTE antenna angle of declination is in inverse ratio with priority.
7. a kind of atmospheric duct interference optimization system, which is characterized in that include：
Data acquisition module, for gathering the jamming performance measurement data of the whole network LTE cells；
Classification and ordination module for reading the scene information of LTE cells, retains the jamming performance measurement number of F-band LTE cells
According to, classified according to scene information to LTE cells, then again to each scene information classification LTE cells according to interference journey
Spend descending arrangement；
Cluster seeking module is disturbed, for clustering cell as the first order using first LTE cell in the classification of each scene information,
Using each LTE cells in first order cluster cell as center, and classified according to the corresponding scene information of each LTE cells
Other LTE cells in the classification of the clustering distance threshold search LTE cells corresponding scene information, record it is all with center away from
Cluster search results are disturbed for the first time from the conduct less than clustering distance threshold value；
Then using each LTE cells of last interference cluster search results as center, and it is corresponding according to each LTE cells
Other LTE cells in the corresponding scene information classification of the clustering distance threshold search of the scene information classification LTE cells, record
All and center distance is less than this interference cluster search results of the conduct of clustering distance threshold value；If this interference cluster seeking
As a result the ratio of number of cells and the number of cells of last interference cluster search results is more than given threshold, then performs again
Disturb cluster seeking；
The first order cluster cell is made with clustering the union for the multiple interference cluster search results that cell obtains according to the first order
Cell is clustered for first order interference region；
Calling classification sorting module classifies to remaining LTE cells for each scene information to be arranged according to annoyance level descending,
Then handled according to above-mentioned steps, obtain next stage cluster cell and the multiple interference obtained according to next stage cluster cell
The union of cluster search results clusters cell as next stage interference region；It repeats until all LTE cells are divided into
Wherein in level-one interference region cluster cell；
Center point calculation module, for calculating the central point of interference region cluster cells at different levels；
Priority division module, for clustering the central point division interference cell-of-origin of cell according to interference regions at different levels, according to sea
It pulls out, LTE cell prioritization of the high and LTE antenna angle of declination to interference cell-of-origin of standing；
Interference optimization module, for calculating the LTE number of cells of interference region cluster cells at different levels and jamming performance measurement number
According to average value, and according to above-mentioned quantity and average value, to phase in the corresponding interference cell-of-origin of interference regions at different levels cluster cell
The LTE cells of priority is answered to be adjusted.
8. a kind of atmospheric duct interference optimization system according to claim 7, it is characterised in that：The data acquisition module
Acquisition be when previous small in the whole network LTE cells jamming performance measurement data.
9. a kind of atmospheric duct interference optimization system according to claim 7, it is characterised in that：The central point calculates mould
Block calculates the average value of each LTE cells in interference region cluster cell as central point.
10. a kind of atmospheric duct interference optimization system according to claim 7, it is characterised in that：The central point calculates
Module calculates the midpoint of the boundary rectangle of all LTE set of cells in interference region cluster cell as central point.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023035750A1 (en) * | 2021-09-08 | 2023-03-16 | 中国电信股份有限公司 | Method and apparatus for interference optimization, storage medium, and electronic device |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102612040A (en) * | 2011-01-19 | 2012-07-25 | 鼎桥通信技术有限公司 | Method and device for positioning interference among base stations in time division duplex (TDD) mobile communication system |
| CN103703704A (en) * | 2011-02-24 | 2014-04-02 | 爱立信(中国)通信有限公司 | Reducing interference caused by atmospheric duct in mobile communication system |
| CN104519501A (en) * | 2013-09-27 | 2015-04-15 | 鼎桥通信技术有限公司 | A same-frequency-interference detection method |
| US20150326273A1 (en) * | 2010-05-28 | 2015-11-12 | Cohere Technologies, Inc. | Methods of operating and implementing wireless otfs communciations systems |
| CN106714204A (en) * | 2015-11-17 | 2017-05-24 | 中兴通讯股份有限公司 | Neighbor cell optimization method and apparatus |
| CN106941679A (en) * | 2016-01-04 | 2017-07-11 | 中兴通讯股份有限公司 | A kind of base station and its method for realizing signal transacting |
-
2017
- 2017-12-29 CN CN201711476063.4A patent/CN108111248B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150326273A1 (en) * | 2010-05-28 | 2015-11-12 | Cohere Technologies, Inc. | Methods of operating and implementing wireless otfs communciations systems |
| CN102612040A (en) * | 2011-01-19 | 2012-07-25 | 鼎桥通信技术有限公司 | Method and device for positioning interference among base stations in time division duplex (TDD) mobile communication system |
| CN103703704A (en) * | 2011-02-24 | 2014-04-02 | 爱立信(中国)通信有限公司 | Reducing interference caused by atmospheric duct in mobile communication system |
| CN104519501A (en) * | 2013-09-27 | 2015-04-15 | 鼎桥通信技术有限公司 | A same-frequency-interference detection method |
| CN106714204A (en) * | 2015-11-17 | 2017-05-24 | 中兴通讯股份有限公司 | Neighbor cell optimization method and apparatus |
| CN106941679A (en) * | 2016-01-04 | 2017-07-11 | 中兴通讯股份有限公司 | A kind of base station and its method for realizing signal transacting |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023035750A1 (en) * | 2021-09-08 | 2023-03-16 | 中国电信股份有限公司 | Method and apparatus for interference optimization, storage medium, and electronic device |
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