CN107484182A - Divide the method and device of super cell - Google Patents
Divide the method and device of super cell Download PDFInfo
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- CN107484182A CN107484182A CN201610405510.6A CN201610405510A CN107484182A CN 107484182 A CN107484182 A CN 107484182A CN 201610405510 A CN201610405510 A CN 201610405510A CN 107484182 A CN107484182 A CN 107484182A
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- H—ELECTRICITY
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- H—ELECTRICITY
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Abstract
The invention provides a kind of method and device for dividing super cell, this method includes:Network analysis system determines multiple positional informations corresponding with multiple MR data and multiple DL SINR according to multiple MR data of reported by user equipment UE;Multiple MR data GIS are obtained the coordinate information of grid corresponding with multiple MR data by network analysis system according to multiple positional informations;Network analysis system selects the continuous predetermined quantity grid in the position in coordinate information to polymerize problematic areas from all grids;The cell for meeting preparatory condition in problem area is divided into super cell by network analysis system.By the present invention, solve the problems, such as to be only simply to merge the cell for being mutually associated interference to be combined into super cell to cause to reduce jamming effectiveness in downlink system low in correlation technique.
Description
Technical field
The present invention relates to the communications field, in particular to a kind of method and device for dividing super cell.
Background technology
The interference that Long Term Evolution (Long Time Evolution, referred to as LTE) system is most commonly encountered is in downlink system
Interference, it has a strong impact on multiple performance indications such as the access of LTE network, call drop, switching and speed, have a strong impact on network performance and
User perceives.Interference occurs overlapping covered in LTE minizones in downlink system, and signal interferes, neighbouring neighboring area signal
Interference can be produced to signal of the serving cell in overlapping region, cause UE DL-SINR to decline, as shown in figure 1, Fig. 1 is related
Small area overlapping covering causes descending interference schematic diagram in technology.In LTE network optimization, it can be solved by setting up super cell
Certainly interference problem in system, i.e., by cell combining, super cell sets up schematic diagram in Fig. 2 correlation techniques, as shown in Fig. 2 logical
Cross planning super cell and reach wireless space gain, it is overlapping covered to substantially reduce, and useful serving cell signal is increased
By force, down channel interference, Internet resources block (Resource Block, the referred to as RB) resource made full use of are reduced.But
Which is only simply to merge the cell for being mutually associated interference to be combined into super cell, and which is under reduction
Jamming effectiveness is low in row system.
For the above mentioned problem in correlation technique, effective solution at present not yet be present.
The content of the invention
The embodiments of the invention provide a kind of method and device for dividing super cell, at least to solve in correlation technique only
Only be simply the cell for being mutually associated interference is merged be combined into super cell cause reduce downlink system in disturb effect
The problem of rate is low.
According to an aspect of the invention, there is provided a kind of method for dividing super cell, including:Network analysis system root
According to multiple measurement report MR data of reported by user equipment UE determine corresponding with the multiple MR data multiple positional informations with
And multiple descending signal to noise ratio DL-SINR corresponding with the multiple MR data;The network analysis system is according to the multiple position
The multiple MR data rasterizings GIS is obtained the coordinate information of grid corresponding with the multiple MR data by confidence breath;It is described
Network analysis system selects the continuous predetermined quantity grid in the position in the coordinate information to polymerize from all grids
Problematic areas;The network analysis system will meet that the cell of preparatory condition is divided into super cell in described problem region.
Further, it is continuous to select the position in the coordinate information from all grids for the network analysis system
Predetermined quantity grid is included with polymerizeing problematic areas:The network analysis system selects cell reference from all grids
Signal reception power RSRP averages are more than the first predetermined threshold value, and DL-SINR averages are less than the grid of the second preset value, and from choosing
In the grid selected out selection in the coordinate information the continuous predetermined quantity grid in position to polymerize problematic areas.
Further, the network analysis system obtains multiple positions corresponding with the multiple MR data in the following manner
Confidence ceases:The positional information is carried in the MR data;Or, the network analysis system passes through small position where the UE
Confidence breath determines that the UE reports the positional information network analysis system of the MR data;Network analysis described in network analysis system
System obtains the DL-SINR by below equation, wherein, the letter of serving cell where the UE is carried in the MR message
Number intensity RSRPS, the adjacent neighbor cell of the serving cell signal intensity RSRPi;
Wherein, n represents the number of neighbor cell.
Further, the cell that preparatory condition is met in described problem region is divided into super by the network analysis system
Cell includes:The network analysis system serving cell number of the UE is selected from described problem region at most before the
Two predetermined quantity cells as first community set, and the UE neighbor cell number it is most preceding 3rd predetermined quantity it is small
Area is as second community set;The network analysis system is from the first community set with being selected in the second community set
Go out the cell of repetition, and be used as the 3rd set of cells;The network analysis system is with single small in the 3rd set of cells
Area is the combination that unit carries out cell;The network analysis system determines the increasing of each cell combination in the 3rd set of cells
Benefit;The network analysis system is by minimum value in the value of cell number in the gain of each cell combination divided by respective cell combination
Cell combination divides the super cell.
Further, the network analysis system obtains the gain bag of each cell combination in the 3rd set of cells
Include:The network analysis system determines the DL-SINR of each cell combination in the 3rd set of cells in the following manner:
Wherein, RSRPSRepresent serving cell signal intensity, RSRPiAdjacent cell signal strength is represented, m represents the described 3rd
Cell number in set of cells in each cell combination, the cell number of the 3rd set of cells is not belonging in n problem of representation region;
The network analysis system by the DL-SINR of each cell combination subtract before problem area is polymerized to each cell
DL-SINR difference is defined as the gain corresponding to MR data.
Further, in the gain of each cell combination with the ratio of the cell number in respective cell combination, having multiple
During minimum ratio, the cell combination that ratio is minimum and cell number is minimum is divided the super cell by the network analysis system.
Further, in the gain of each cell combination and minimum ratio in the ratio of the cell number in respective cell combination
Have multiple, and when the cell number in the minimum cell combination of ratio also has multiple, the network analysis system determines each cell
The degree of coupling of combination;The minimum cell combination of the degree of coupling is divided into the super cell by the network analysis system.
Further, the network analysis system determines the degree of coupling in the following manner:
Wherein, i and j represents two cells, α respectivelyiThe vector angle of cell i deflection and 2 minizone lines is represented,
βjCell j deflections and the vector angle of 2 minizones are represented, Distance represents cell i and cell j distance.
According to another aspect of the present invention, there is provided a kind of device for dividing super cell, applied to network analysis system
System, including:Determining module, determined and the multiple MR data pair according to multiple measurement report MR data of reported by user equipment UE
The multiple positional informations answered and multiple descending signal to noise ratio DL-SINR corresponding with the multiple MR data;Processing module, it is used for
The multiple MR data rasterizings GIS is obtained by grid corresponding with the multiple MR data according to the multiple positional information
Coordinate information;Aggregation module, for selecting the continuous predetermined quantity in position in the coordinate information from all grids
Grid is to polymerize problematic areas;Division module is super for the cell for meeting preparatory condition in described problem region to be divided into
Level cell.
Further, the aggregation module, it is additionally operable to select cell reference signals receiving power from all grids
RSRP averages are more than the first predetermined threshold value, and DL-SINR averages are less than the grid of the second preset value, and from the grid selected
Selection in the coordinate information the continuous predetermined quantity grid in position to polymerize problematic areas.
Further, the determining module obtains multiple position letters corresponding with the multiple MR data in the following manner
Breath:The positional information is carried in the MR data;Or, determine that the UE is reported by location information of cell where the UE
The positional information of the MR data;The determining module obtains the DL-SINR by below equation, wherein, the MR message
In carry the UE where serving cell signal intensity RSRPS, the adjacent neighbor cell of the serving cell signal it is strong
Spend RSRPi;
Wherein, n represents the number of neighbor cell.
Further, the division module includes:First choice unit, it is described for being selected from described problem region
The most preceding second predetermined quantity cell of UE serving cell number is as first community set, and the neighbor cell of the UE
The most preceding 3rd predetermined quantity cell of number is as second community set;Second selecting unit, for from the first community
Set and the cell that repetition is selected in the second community set, and it is used as the 3rd set of cells;Assembled unit, for institute
State the combination that the single subdistrict in the 3rd set of cells carries out cell for unit;First determining unit, for determining the described 3rd
The gain of each cell combination in set of cells;Division unit, for by the gain of each cell combination divided by each small district's groups
The cell combination of minimum value divides the super cell in the value of cell number in conjunction.
Further, first determining unit includes:First determination subelement, described in determining in the following manner
The DL-SINR of each cell combination in 3rd set of cells:
Wherein, RSRPSRepresent serving cell signal intensity, RSRPiNeighbor cell, signal intensity are represented, m represents institute
The cell number in each cell combination in the 3rd set of cells is stated, the 3rd set of cells is not belonging in n problem of representation region
Cell number;Second determination subelement, for by the DL-SINR of each cell combination subtract before problem area is polymerized to it is each small
DL-SINR difference is defined as the gain corresponding to area's MR data.
Further, the division module also includes:Second division unit, for each cell combination gain with it is each
From in the ratio of the cell number in cell combination, when having multiple minimum ratios, by the small district's groups that ratio is minimum and cell number is minimum
Close and divide the super cell.
Further, the division module also includes:Second determining unit, for each cell combination gain with it is each
Have from minimum ratio in the ratio of the cell number in cell combination multiple, and the cell number in the minimum cell combination of ratio also has
When multiple, the degree of coupling of each cell combination is determined;3rd division unit, for the minimum cell combination of the degree of coupling to be divided into
The super cell.
Further, the division module also includes:3rd determining unit, for determining the coupling in the following manner
Degree:
Wherein, i and j represents two cells, α respectivelyiThe vector angle of cell i deflection and 2 minizone lines is represented,
βjCell j deflections and the vector angle of 2 minizones are represented, Distance represents cell i and cell j distance.
According to still another embodiment of the invention, a kind of storage medium is additionally provided.The storage medium is arranged to storage and used
In the program code for performing following steps:
The positional information and the first descending letter of the UE is determined according to the measurement report MR data of reported by user equipment UE
Make an uproar and compare DL-SINR;The seat of the MR data after rasterizing is obtained by the MR data rasterizings GIS and according to the positional information
Mark information;First DL-SINR is less than predetermined threshold value, and continuous first predetermined quantity in position in the coordinate information
Individual grid polymerize problematic areas;It will meet that the cell of preparatory condition is divided into super cell in described problem region.
By the present invention, network analysis system obtains UE positional information and the first descending letter according to the MR data reported
Make an uproar than DL-SINR values, and then by MR data GIS rasterizings, and by grid of the continuous and average DL-SINR values less than predetermined threshold value
Lattice are polymerized to problem area, and region division super cell the problem of will meet preparatory condition, can have by the super cell
Effect reduces descending interference, so as to solve only simply the cell for being mutually associated interference is merged be combined into it is super small
Area causes to reduce the problem of jamming effectiveness is low in downlink system.
Brief description of the drawings
Accompanying drawing described herein is used for providing a further understanding of the present invention, forms the part of the application, this hair
Bright schematic description and description is used to explain the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is that small area overlapping covering causes descending interference schematic diagram in correlation technique;
Super cell sets up schematic diagram in Fig. 2 correlation techniques;
Fig. 3 is the method flow diagram of division super cell according to embodiments of the present invention;
Fig. 4 is to polymerize schematic diagram according to the grid problem area of the present embodiment;
Fig. 5 is grid problem area polymerization schematic diagram according to embodiments of the present invention;
Fig. 6 is that super cell according to embodiments of the present invention sets up recruitment evaluation schematic diagram;
Fig. 7 is cell degree of coupling calculating figure according to embodiments of the present invention;
Fig. 8 is the apparatus structure block diagram of division super cell according to embodiments of the present invention;
Fig. 9 is super cell device for planning structural representation according to embodiments of the present invention.
Embodiment
Describe the present invention in detail below with reference to accompanying drawing and in conjunction with the embodiments.It should be noted that do not conflicting
In the case of, the feature in embodiment and embodiment in the application can be mutually combined.
It should be noted that term " first " in description and claims of this specification and above-mentioned accompanying drawing, "
Two " etc. be for distinguishing similar object, without for describing specific order or precedence.
Embodiment 1
Fig. 3 is the method flow diagram of division super cell according to embodiments of the present invention, as shown in Fig. 2 the step of this method
Suddenly include:
Step S302:Network analysis system according to multiple measurement reports of reported by user equipment UE (Measure Report,
Referred to as MR) data determine corresponding with multiple MR data multiple positional informations and corresponding with multiple MR data multiple descending
Signal to noise ratio DL-SINR;
Step S304:Network analysis system is according to multiple positional informations by multiple MR data rasterizings (Geographic
Information System, referred to as GIS) and the coordinate letter of grid corresponding with multiple MR data is obtained according to positional information
Breath;
Step S306:Network analysis system selects the continuous predetermined quantity in position in coordinate information from all grids
Individual grid polymerize problematic areas;
Step S308:The cell for meeting preparatory condition in problem area is divided into super cell by network analysis system.
By the above-mentioned steps S302 to step S308 of the present embodiment, network analysis system is according to the MR numbers reported
According to obtaining multiple positional informations corresponding to multiple MR data and multiple descending signal to noise ratio DL- corresponding with multiple MR data
SINR, and then it is more than the first predetermined threshold value and average DL- by MR data GIS rasterizings, and by continuous and RSRP averages
SINR value is polymerized to problem area less than the grid of the second predetermined threshold value, and region division is super the problem of will meet preparatory condition
Cell, descending interference can effectively be reduced by the super cell, be only simply by phase so as to solve in correlation technique
The cell of cross-correlation interference merge be combined into super cell cause reduce downlink system in jamming effectiveness it is low.
Selected for the network analysis system being related in the step S306 that is related in the present embodiment from all grids
Going out the continuous predetermined quantity grid in the position in coordinate information can be in a manner of polymerizeing problematic areas:Network analysis system
System selects cell reference signals receiving power RSRP averages from all grids and is more than the first predetermined threshold value, and DL-SINR is equal
Value is less than the grid of the second preset value, and selection continuous predetermined quantity in position in coordinate information from the grid selected
Grid is to polymerize problematic areas.
In the optional embodiment of the present embodiment, network analysis system obtains and multiple MR data pair in the following manner
The multiple positional informations answered:The positional information is carried in MR data (for example, UE is with GPS functions and according to GPS location
Reporting position information afterwards);Or, network analysis system determines that UE reports the position of MR data to believe by location information of cell where UE
Breath;
In addition, network analysis system obtains DL-SINR by below equation in the present embodiment, wherein, taken in MR message
Signal intensity RSRP with serving cell where UES, the adjacent neighbor cell of serving cell signal intensity RSRPi;
Wherein, n represents the number of neighbor cell.
It should be noted that the DL-SINR represents the technical method of descending signal to noise ratio before optimization, although in the present embodiment
The first DL-SINR can be calculated by above-mentioned formula in specific embodiment, but DL-SINR is fixed in fact in the present embodiment
Justice is:Serving cell receives power/(adjacent area jamming power+noise power), and above-mentioned formula is only one of this definition optional
Embodiment.
And the mode by MR data rasterizings for being related in above-mentioned steps S304 in the present embodiment, it is real in this implementation
Can be in the optional embodiment of example:
MR dot position informations (i.e. latitude and longitude information) are switched into plane coordinates, MR points specifically belong to the coordinate (region of grid
ID, X skews in region, Y skews in region), X and Y are the plane coordinate systems in figure, and least unit is grid size GridSize
(100 meters of acquiescence).Each grid has (GridX, GridY) to represent, using center as origin, GridX represents this grid in thing
Apart from origin GridX*GridSize rice on direction, GridY represents this grid in North and South direction apart from origin GridY*
GridSize rice.Thus can be by some some blockage of business Division, size GridSize is any (100 meters), so
The virtual coordinate system based on specific transactions area is just constructed, and each MR points are mapped to this coordinate system, Fig. 4 is according to this reality
The grid problem area polymerization schematic diagram of example is applied, as shown in figure 4, origin in the region ID of dotted line filling point position, solid stain is 3
MR points.
In addition, for the network analysis system that is related in step S306 in the present embodiment will and predetermined number is continuous
And RSRP averages are more than the first predetermined threshold value and average DL-SINR values less than the polymerization problematic areas of the second predetermined threshold value
Mode, can be in the present embodiment:
It should be noted that computation grid DL-SINR averages, method is the average DL-SINR of affiliated MR points in computation grid
Value.Computation grid serving cell Reference Signal Received Power RSRP averages, method are the average RSRP of affiliated MR points in computation grid
Value.
Find out RSRP averages>- 105dbm (the first predetermined threshold value), and DL-SINR averages are less than 0db (the second default thresholds
Value) grid set, so filtered out weak covering grid, grid set is only left row and disturbs high grid, then in grid
The problem of individual continuous grids in position of at least predetermined quantity N (for example, N values are 20) form region is found out in set, Fig. 5 is root
It polymerize schematic diagram according to the grid problem area of the embodiment of the present invention, as shown in figure 5, a business has multiple problem areas.Its
In, the value of the first predetermined threshold value and the second predetermined threshold value is limited for example, not formed to the present invention, other threshold values
Value be also within protection scope of the present invention.
In another optional embodiment of the present embodiment, for the network point being related in the present embodiment step S308
Region division the problem of meeting preparatory condition can be by analysis system for the mode of super cell:
Step S308-1:Network analysis system selected from problem area UE serving cell number at most before second
Predetermined quantity cell is as first community set, and the UE most preceding 3rd predetermined quantity cell conduct of neighbor cell number
Second community set;
Step S308-2:Network analysis system is from first community set with selecting the small of repetition in second community set
Area, and it is used as the 3rd set of cells;
Wherein, can be in concrete application scene for above-mentioned S308-1 and S308-2:By whole MR in this region
Point is designated as set O, chooses the point that DL-SINR in O is less than 0, forms descending high interference MR point set A, set O average DL-
SINR value is DL-SINRAVG.The most preceding x (x is recommended as 10) of serving cell number in set A is individual as first community set
{ TopServerCells }, the most preceding y (y is recommended as 10) of most strong adjacent area number in set A is individual as second community set
{TopNeighbourrCells}.By first community set { TopServerCells } and second community set
The cell composition set of cells of super cell the 3rd repeated in { TopNeighbourrCells }
{ SuperCellCandidates }, { SuperCellCandidates } example are (cell1, cell2, cell3).
Step S308-3:Network analysis system carries out the group of cell in units of the single subdistrict in the 3rd set of cells
Close;
Based on foregoing description, in { SuperCellCandidates } is gathered, various composite set Π, Π set are calculated
For:Intersection.Wherein, M is the cell number in set { SuperCellCandidates }, and n is permission
Super cell maximum number;For C examples,Cell2 }, { cell1, cell3 }, { cell2, cell3 } this
Three kinds of optional super combinations.
For example, there is three cells (A, B, C) in { SuperCellCandidates }, then the combination of Π set have (A,
B), (A, C), (B, C), (A, B, C).
Step S308-4:Network analysis system determines the gain of each cell combination in the 3rd set of cells;
Mode can be:Network analysis system determines each cell combination in the 3rd set of cells in the following manner first
2nd DL-SINR:
Second
Wherein, RSRPSRepresent serving cell signal intensity, RSRPiNeighbor cell, signal intensity are represented, m represents the
Cell number in three set of cells in each cell combination, the cell number of the 3rd set of cells is not belonging in n problem of representation region;
Secondly, the difference that network analysis system subtracts the 2nd DL-SINR the first DL-SINR is defined as gain.
Description based on aforesaid way in concrete application scene, which can be in concrete application scene:Traversal
Each optional super cell combination, handles each MR points in set O, calculates new DL-SINR in set Π*=(place is super
The power of cell signal)/(power of noise power+non-place super cell), equation below is seen in detail.Obtain in set O
DL-SINR*Average valueThis super cell gain
Wherein, RSRPSRepresent serving cell signal intensity, RSRPiNeighbor cell, signal intensity are represented, m represents the
Cell number in three set of cells in each cell combination, the cell number of the 3rd set of cells is not belonging in n problem of representation region,
That is after the formula represents composition super cell, MR points have m cell signal to belong to super cell, have n cell signals not
Belong to super cell, noise selection -125dbm,.
Step S308-5:Network analysis system is by cell number in the gain of each cell combination divided by respective cell combination
The cell combination division super cell of minimum value in value.
And in the gain of each cell combination with the ratio of the cell number in respective cell combination, there is multiple minimum ratios
When, the cell combination that ratio is minimum and cell number is minimum is divided super cell by network analysis system.Or,
Have in the gain of each cell combination with minimum ratio in the ratio of the cell number in respective cell combination it is multiple, and
When cell number in the minimum cell combination of ratio also has multiple, network analysis system determines the degree of coupling of each cell combination;
The minimum cell combination of the degree of coupling is divided into super cell by network analysis system.
After the completion of each regional processing, whole planning super cell lists is provided, and each super cell is shown in GIS
Raster effect in the problem of after optimization region, effect is as shown in fig. 6, Fig. 6 is super cell group according to embodiments of the present invention
Build recruitment evaluation schematic diagram.
Wherein, Fig. 7 is cell degree of coupling calculating figure according to embodiments of the present invention, as shown in fig. 7, network analysis system leads to
Cross in the following manner and determine the degree of coupling:
Wherein, i and j represents two cells, α respectivelyiThe vector angle of cell i deflection and 2 minizone lines is represented,
βjCell j deflections and the vector angle of 2 minizones are represented, Distance represents cell i and cell j distance.
Through the above description of the embodiments, those skilled in the art can be understood that according to above-mentioned implementation
The method of example can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hardware, but a lot
In the case of the former be more preferably embodiment.Based on such understanding, technical scheme is substantially in other words to existing
The part that technology contributes can be embodied in the form of software product, and the computer software product is stored in a storage
In medium (such as ROM/RAM, magnetic disc, CD), including some instructions to cause a station terminal equipment (can be mobile phone, calculate
Machine, server, or network equipment etc.) method that performs each embodiment of the present invention.
Embodiment 2
Additionally provide in the present embodiment it is a kind of divide super cell device, the device be used for realize above-described embodiment and
Preferred embodiment, repeating no more for explanation was carried out.As used below, term " module " can realize predetermined work(
The combination of the software and/or hardware of energy.Although device described by following examples is preferably realized with software, firmly
Part, or the realization of the combination of software and hardware is also what may and be contemplated.
Fig. 8 is the apparatus structure block diagram of division super cell according to embodiments of the present invention, and the device is applied to network point
Analysis system, as shown in figure 8, the device includes:Determining module 82, for multiple measurement report MR according to reported by user equipment UE
Data determine multiple positional informations corresponding with multiple MR data and multiple descending signal to noise ratio DL- corresponding with multiple MR data
SINR;Processing module 84, be of coupled connections with determining module 82, for according to multiple positional informations by multiple MR data rasterizings
GIS obtains the coordinate information of grid corresponding with multiple MR data;Aggregation module 86, it is of coupled connections, is used for processing module 84
The continuous predetermined quantity grid in the position in coordinate information is selected from all grids to polymerize problematic areas;Divide mould
Block 88, it is of coupled connections with aggregation module 86, region division is super cell the problem of for that will meet preparatory condition.
Alternatively, aggregation module, it is additionally operable to select cell reference signals receiving power RSRP averages from all grids
More than the first predetermined threshold value, and DL-SINR averages are less than the grid of the second preset value, and select sitting from the grid selected
The continuous predetermined quantity grid in position is to polymerize problematic areas in mark information.
Alternatively, the determining module 82 can obtain UE positional information in the following manner:Position is carried in MR data
Confidence ceases;Or, determine that UE reports the positional information of MR data by location information of cell where UE;
In addition, the determining module 82 can obtain the first DL-SINR by below equation, wherein, carried in MR message
The signal intensity RSRP of serving cell where UES, the adjacent neighbor cell of serving cell signal intensity RSRPi;
Alternatively, the division module 88 includes:First choice unit, the service for selecting UE from problem area are small
Number most preceding second predetermined quantity cell in area's is used as first community set, and UE neighbor cell number at most preceding the
Three predetermined quantity cells are as second community set;Second selecting unit, for from first community set and second community set
In select the cell of repetition, and be used as the 3rd set of cells;Assembled unit, for the single subdistrict in the 3rd set of cells
The combination of cell is carried out for unit;First determining unit, for determining the gain of each cell combination in the 3rd set of cells;Draw
Subdivision, for by the cell combination of minimum value in the value of cell number in the gain of each cell combination divided by respective cell combination
Divide super cell.
Wherein, first determining unit includes:First determination subelement, for determining the 3rd cell set in the following manner
The DL-SINR of each cell combination in conjunction:
Wherein, RSRPSRepresent serving cell signal intensity, RSRPiAdjacent cell signal strength is represented, m represents the 3rd cell
Cell number in set in each cell combination, the cell number of the 3rd set of cells is not belonging in n problem of representation region;Second determines
Subelement, it is corresponding with each cell MR data before problem area is polymerized to for the DL-SINR of each cell combination to be subtracted
DL-SINR difference is defined as gain.
In addition, the division module 88 also includes:Second division unit, for each cell combination gain with it is each from childhood
In the ratio of cell number in district's groups conjunction, when there are multiple minimum ratios, the cell combination that ratio is minimum and cell number is minimum is drawn
Divide super cell.
Alternatively, division module 88 also includes:Second determining unit, for each cell combination gain with it is each from childhood
District's groups close in cell number ratio in minimum ratio have it is multiple, and the cell number in the minimum cell combination of ratio also have it is multiple
When, determine the degree of coupling of each cell combination;3rd division unit, it is super for the minimum cell combination of the degree of coupling to be divided into
Cell.
Alternatively, the division module 88 also includes:3rd determining unit, for determining the degree of coupling in the following manner:
Wherein, i and j represents two cells, α respectivelyiThe vector angle of cell i deflection and 2 minizone lines is represented,
βjCell j deflections and the vector angle of 2 minizones are represented, Distance represents cell i and cell j distance.
It should be noted that above-mentioned modules can be realized by software or hardware, for the latter, Ke Yitong
Cross in the following manner realization, but not limited to this:Above-mentioned module is respectively positioned in same processor;Or above-mentioned modules are with any
The form of combination is located in different processors respectively.
Embodiment 3
Fig. 9 is super cell device for planning structural representation according to embodiments of the present invention, as shown in figure 9, the device is all
Phase starts, and is analyzed according to the soft data of adopting of the drive test file and base station side of collection, and analysis result is fed back into each base station.
In addition, the device needs user to provide wireless parameter file before starting, file includes the longitude and latitude letter of each cell in service area
The antenna-feed parameters such as breath, deflection, are then preserved by the cell wireless parameter processing module of device, for follow-up longitude and latitude
Degree calculates and the cell degree of coupling calculates.
The device includes:MR collection modules, for collecting drive test file and base station side MR files, and store and arrive database
In mr_orig tables.
MR grid processing modules, for handling grid information, mr_orig table data are judged, if the MR for thering is base station side to report
Data, then calculating location information and DL-SINR values.Then according to latitude and longitude value computation grid data, (area ID, area's skew X, area are inclined
Move Y), obtain in mr_gird tables.Mr_gird tables structure and sample are:
Table 1mr_gird records sample
Based on mr_gird table data, table grid_stat tables are obtained according to GridInfo row polymerizations, its result is:
Table 2grid_stat records sample
GridInfo | AvgServerRsrp | AvgDL-SINR |
4, -2, -4 | -91.5 | -8.8 |
4,1,2 | -95.6 | -5.6 |
MR grid processing modules, grid the problem of for according in area information and grid_stat tables, are carried out at polymerization
Reason, obtains sheet of problem area area_info tables.
Table 3area_info records sample
Aear_id | GridInfo | AvgDL-SINR |
1 | 4, -2, -4 | -8.8 |
1 | 4, -2, -5 | -5.6 |
1 | 4, -3, -4 | -8.8 |
1 | 4,8, -6 | -5.6 |
2 | 4,8, -4 | -8.8 |
2 | 4,8, -5 | -5.6 |
Super cell planning module, for according to area_info mark record, according to the method for last chapters and sections third portion by
One process problem region, optimal super cell combination is selected for each problem area, obtains supercell_recommend tables.
Table 4supercell_recommend records sample
Recruitment evaluation module, for showing that the front and rear grid to problem area of super cell combination improves situation on GIS.
Finally, user can select suitable super cell, export to Excel file according to super cell recommendation list,
Facilitate subsequent applications into wireless system.
Embodiments of the invention additionally provide a kind of storage medium.Alternatively, in the present embodiment, above-mentioned storage medium can
The program code for performing following steps to be arranged to storage to be used for:
Step S1:Network analysis system determines UE positional information according to the measurement report MR data of reported by user equipment UE
And the first descending signal to noise ratio DL-SINR;
Step S2:Network analysis system obtains MR data after rasterizing by MR data rasterizings GIS and according to positional information
Coordinate information;
Step S3:First DL-SINR is less than predetermined threshold value by network analysis system, and position is continuous in coordinate information
First predetermined quantity grid polymerize problematic areas;
Step S4:The cell for meeting preparatory condition in problem area is divided into super cell by network analysis system.
Alternatively, in the present embodiment, above-mentioned storage medium can include but is not limited to:USB flash disk, read-only storage (ROM,
Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disc or
CD etc. is various can be with the medium of store program codes.
Alternatively, the specific example in the present embodiment may be referred to described in above-described embodiment and optional embodiment
Example, the present embodiment will not be repeated here.
Obviously, those skilled in the art should be understood that above-mentioned each module of the invention or each step can be with general
Computing device realize that they can be concentrated on single computing device, or be distributed in multiple computing devices and formed
Network on, alternatively, they can be realized with the program code that computing device can perform, it is thus possible to they are stored
Performed in the storage device by computing device, and in some cases, can be with different from shown in order execution herein
The step of going out or describing, they are either fabricated to each integrated circuit modules respectively or by multiple modules in them or
Step is fabricated to single integrated circuit module to realize.So, the present invention is not restricted to any specific hardware and software combination.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, for the skill of this area
For art personnel, the present invention can have various modifications and variations.Within the spirit and principles of the invention, that is made any repaiies
Change, equivalent substitution, improvement etc., should be included in the scope of the protection.
Claims (16)
- A kind of 1. method for dividing super cell, it is characterised in that including:Network analysis system determines and the multiple MR data pair according to multiple measurement report MR data of reported by user equipment UE The multiple positional informations answered and multiple descending signal to noise ratio DL-SINR corresponding with the multiple MR data;The network analysis system according to the multiple positional information by the multiple MR data rasterizings GIS obtain with it is described more The coordinate information of grid corresponding to individual MR data;The network analysis system selects the continuous predetermined quantity grid in the position in the coordinate information from all grids Lattice are to polymerize problematic areas;The cell for meeting preparatory condition in described problem region is divided into candidate's super cell by the network analysis system.
- 2. according to the method for claim 1, it is characterised in that the network analysis system is selected from all grids The continuous predetermined quantity grid in position is included with polymerizeing problematic areas in the coordinate information:It is pre- more than first that the network analysis system selects cell reference signals receiving power RSRP averages from all grids If threshold value, and DL-SINR averages are less than the grid of the second preset value, and selected from the grid selected in the coordinate information The middle continuous predetermined quantity grid in position is to polymerize problematic areas.
- 3. according to the method for claim 1, it is characterised in thatThe network analysis system obtains multiple positional informations corresponding with the multiple MR data in the following manner:The MR The positional information is carried in data;Or, the network analysis system determines institute by location information of cell where the UE State the positional information that UE reports the MR data;The network analysis system obtains the DL-SINR by below equation, wherein, carry the UE in the MR message The signal intensity RSRP of place serving cellS, the adjacent neighbor cell of the serving cell signal intensity RSRPi;<mrow> <mo>;</mo> <mi>D</mi> <mi>L</mi> <mo>-</mo> <mi>S</mi> <mi>I</mi> <mi>N</mi> <mi>R</mi> <mo>=</mo> <mn>1</mn> <mo>-</mo> <mn>10</mn> <mo>*</mo> <mi>lg</mi> <mrow> <mo>(</mo> <mrow> <msup> <mn>10</mn> <mfrac> <mrow> <mo>-</mo> <mn>125</mn> <mo>-</mo> <msub> <mi>RSRP</mi> <mi>S</mi> </msub> </mrow> <mn>10</mn> </mfrac> </msup> <mo>+</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <msup> <mn>10</mn> <mfrac> <mrow> <msub> <mi>RSRP</mi> <mi>i</mi> </msub> <mo>-</mo> <msub> <mi>RSRP</mi> <mi>S</mi> </msub> </mrow> <mn>10</mn> </mfrac> </msup> </mrow> <mo>)</mo> </mrow> <mo>,</mo> </mrow>Wherein, n represents the number of neighbor cell.
- 4. according to the method for claim 3, it is characterised in that the network analysis system will meet in described problem region The cell of preparatory condition, which is divided into candidate's super cell, to be included:The network analysis system is second pre- before the serving cell number of the UE is selected from described problem region at most Fixed number amount cell is as first community set, and the most preceding 3rd predetermined quantity cell of neighbor cell number of the UE is made For second community set;The network analysis system selects the cell of repetition from the first community set and the second community set, and As the 3rd set of cells;The network analysis system carries out the combination of cell in units of the single subdistrict in the 3rd set of cells;The network analysis system determines the gain of each cell combination in the 3rd set of cells;The network analysis system is by minimum value in the value of cell number in the gain of each cell combination divided by respective cell combination Cell combination divide candidate's super cell.
- 5. according to the method for claim 4, it is characterised in that the network analysis system obtains the 3rd set of cells In the gain of each cell combination include:The network analysis system determines the DL-SINR of each cell combination in the 3rd set of cells in the following manner:<mrow> <mi>D</mi> <mi>L</mi> <mo>-</mo> <mi>S</mi> <mi>I</mi> <mi>N</mi> <mi>R</mi> <mo>=</mo> <munderover> <mo>&Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>0</mn> </mrow> <mi>m</mi> </munderover> <msup> <mn>10</mn> <mfrac> <mrow> <msub> <mi>RSRP</mi> <mi>j</mi> </msub> <mo>-</mo> <msub> <mi>RSRP</mi> <mi>S</mi> </msub> </mrow> <mn>10</mn> </mfrac> </msup> <mo>-</mo> <mn>10</mn> <mo>*</mo> <mi>lg</mi> <mrow> <mo>(</mo> <msup> <mn>10</mn> <mfrac> <mrow> <mo>-</mo> <mn>125</mn> <mo>-</mo> <msub> <mi>RSRP</mi> <mi>S</mi> </msub> </mrow> <mn>10</mn> </mfrac> </msup> <mo>+</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>0</mn> </mrow> <mi>n</mi> </munderover> <msup> <mn>10</mn> <mfrac> <mrow> <msub> <mi>RSRP</mi> <mi>i</mi> </msub> <mo>-</mo> <msub> <mi>RSRP</mi> <mi>S</mi> </msub> </mrow> <mn>10</mn> </mfrac> </msup> <mo>)</mo> </mrow> <mo>;</mo> </mrow> 1Wherein, RSRPSRepresent serving cell signal intensity, RSRPiAdjacent cell signal strength is represented, m represents the 3rd cell Cell number in set in each cell combination, the cell number of the 3rd set of cells is not belonging in n problem of representation region;The network analysis system by the DL-SINR of each cell combination subtract before problem area is polymerized to each cell MR numbers It is defined as the gain according to corresponding DL-SINR difference.
- 6. according to the method for claim 4, it is characterised in thatIn the ratio of cell number in the gain of each cell combination and respective cell combination, when having multiple minimum ratios, institute State network analysis system and the cell combination that ratio is minimum and cell number is minimum is divided into the super cell.
- 7. according to the method for claim 4, it is characterised in thatThere is with minimum ratio in the ratio of the cell number in respective cell combination multiple, and ratio in the gain of each cell combination When cell number in minimum cell combination also has multiple, the network analysis system determines the degree of coupling of each cell combination;The minimum cell combination of the degree of coupling is divided into candidate's super cell by the network analysis system.
- 8. according to the method for claim 7, it is characterised in thatThe network analysis system determines the degree of coupling in the following manner:<mrow> <msub> <mi>R</mi> <mrow> <mo>(</mo> <mi>i</mi> <mo>,</mo> <mi>j</mi> <mo>)</mo> </mrow> </msub> <mo>=</mo> <mi>D</mi> <mi>i</mi> <mi>s</mi> <mi> </mi> <mi>tan</mi> <mi> </mi> <msub> <mi>ce</mi> <mrow> <mo>(</mo> <mi>i</mi> <mo>,</mo> <mi>j</mi> <mo>)</mo> </mrow> </msub> <mo>*</mo> <mi>c</mi> <mi>o</mi> <mi>s</mi> <mrow> <mo>(</mo> <mfrac> <mrow> <msub> <mi>&alpha;</mi> <mi>i</mi> </msub> <mo>+</mo> <msub> <mi>&beta;</mi> <mi>j</mi> </msub> </mrow> <mn>2</mn> </mfrac> <mo>)</mo> </mrow> </mrow>Wherein, i and j represents two cells, α respectivelyiRepresent the vector angle of cell i deflection and 2 minizone lines, βjTable Show cell j deflections and the vector angle of 2 minizones, Distance represents cell i and cell j distance.
- A kind of 9. device for dividing super cell, applied to network analysis system, it is characterised in that including:Determining module, for being determined and the multiple MR data pair according to multiple measurement report MR data of reported by user equipment UE The multiple positional informations answered and multiple descending signal to noise ratio DL-SINR corresponding with the multiple MR data;Processing module, for according to the multiple positional information by the multiple MR data rasterizings GIS obtain with it is the multiple The coordinate information of grid corresponding to MR data;Aggregation module, for selected from all grids the continuous predetermined quantity grid in the position in the coordinate information with It polymerize problematic areas;Division module, for will meet that the cell of preparatory condition is divided into super cell in described problem region.
- 10. device according to claim 9, it is characterised in thatThe aggregation module, it is additionally operable to select cell reference signals receiving power RSRP averages from all grids more than first Predetermined threshold value, and DL-SINR averages are less than the grid of the second preset value, and selection is believed in the coordinate from the grid selected The continuous predetermined quantity grid in position is to polymerize problematic areas in breath.
- 11. device according to claim 9, it is characterised in thatThe determining module obtains multiple positional informations corresponding with the multiple MR data in the following manner:The MR data In carry the positional information;Or, determine that the UE reports the MR data by location information of cell where the UE Positional information;The determining module obtains the DL-SINR by below equation, wherein, the UE places are carried in the MR message The signal intensity RSRP of serving cellS, the adjacent neighbor cell of the serving cell signal intensity RSRPi;<mrow> <mi>D</mi> <mi>L</mi> <mo>-</mo> <mi>S</mi> <mi>I</mi> <mi>N</mi> <mi>R</mi> <mo>=</mo> <mn>1</mn> <mo>-</mo> <mn>10</mn> <mo>*</mo> <mi>lg</mi> <mrow> <mo>(</mo> <mrow> <msup> <mn>10</mn> <mfrac> <mrow> <mo>-</mo> <mn>125</mn> <mo>-</mo> <msub> <mi>RSRP</mi> <mi>S</mi> </msub> </mrow> <mn>10</mn> </mfrac> </msup> <mo>+</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>0</mn> </mrow> <mi>n</mi> </munderover> <msup> <mn>10</mn> <mfrac> <mrow> <msub> <mi>RSRP</mi> <mi>i</mi> </msub> <mo>-</mo> <msub> <mi>RSRP</mi> <mi>S</mi> </msub> </mrow> <mn>10</mn> </mfrac> </msup> </mrow> <mo>)</mo> </mrow> <mo>;</mo> </mrow>Wherein, n represents the number of neighbor cell.
- 12. device according to claim 10, it is characterised in that the division module includes:First choice unit, for second pre- before the serving cell number of the UE is selected from described problem region at most Fixed number amount cell is as first community set, and the most preceding 3rd predetermined quantity cell of neighbor cell number of the UE is made For second community set;Second selecting unit, for selecting the cell of repetition from the first community set and the second community set, And it is used as the 3rd set of cells;Assembled unit, for carrying out the combination of cell in units of the single subdistrict in the 3rd set of cells;First determining unit, for determining the gain of each cell combination in the 3rd set of cells;Division unit, for by the value of cell number in the gain of each cell combination divided by respective cell combination minimum value it is small District's groups, which are closed, divides the super cell.
- 13. device according to claim 12, it is characterised in that first determining unit includes:First determination subelement, for determining the DL-SINR of each cell combination in the 3rd set of cells in the following manner:<mrow> <mi>D</mi> <mi>L</mi> <mo>-</mo> <mi>S</mi> <mi>I</mi> <mi>N</mi> <mi>R</mi> <mo>=</mo> <munderover> <mo>&Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>0</mn> </mrow> <mi>m</mi> </munderover> <msup> <mn>10</mn> <mfrac> <mrow> <msub> <mi>RSRP</mi> <mi>j</mi> </msub> <mo>-</mo> <msub> <mi>RSRP</mi> <mi>S</mi> </msub> </mrow> <mn>10</mn> </mfrac> </msup> <mo>-</mo> <mn>10</mn> <mo>*</mo> <mi>lg</mi> <mrow> <mo>(</mo> <msup> <mn>10</mn> <mfrac> <mrow> <mo>-</mo> <mn>125</mn> <mo>-</mo> <msub> <mi>RSRP</mi> <mi>S</mi> </msub> </mrow> <mn>10</mn> </mfrac> </msup> <mo>+</mo> <munderover> <mi>&Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>0</mn> </mrow> <mi>n</mi> </munderover> <msup> <mn>10</mn> <mfrac> <mrow> <msub> <mi>RSRP</mi> <mi>i</mi> </msub> <mo>-</mo> <msub> <mi>RSRP</mi> <mi>S</mi> </msub> </mrow> <mn>10</mn> </mfrac> </msup> <mo>)</mo> </mrow> <mo>;</mo> </mrow>Wherein, RSRPSRepresent serving cell signal intensity, RSRPiAdjacent cell signal strength is represented, m represents the 3rd cell Cell number in set in each cell combination, the cell number of the 3rd set of cells is not belonging in n problem of representation region;Second determination subelement, for by the DL-SINR of each cell combination subtract before problem area is polymerized to each cell DL-SINR difference is defined as the gain corresponding to MR data.
- 14. device according to claim 12, it is characterised in that the division module also includes:Second division unit, in the ratio for the cell number in the gain of each cell combination and respective cell combination, have During multiple minimum ratios, the cell combination that ratio is minimum and cell number is minimum is divided into the super cell.
- 15. device according to claim 12, it is characterised in that the division module also includes:Second determining unit, for minimum in the ratio of the cell number in the gain of each cell combination and respective cell combination Ratio has multiple, and when the cell number in the minimum cell combination of ratio also has multiple, determines the degree of coupling of each cell combination;3rd division unit, for the minimum cell combination of the degree of coupling to be divided into the super cell.
- 16. device according to claim 15, it is characterised in that the division module also includes:3rd determining unit, for determining the degree of coupling in the following manner:<mrow> <msub> <mi>R</mi> <mrow> <mo>(</mo> <mi>i</mi> <mo>,</mo> <mi>j</mi> <mo>)</mo> </mrow> </msub> <mo>=</mo> <mi>D</mi> <mi>i</mi> <mi>s</mi> <mi> </mi> <mi>tan</mi> <mi> </mi> <msub> <mi>ce</mi> <mrow> <mo>(</mo> <mi>i</mi> <mo>,</mo> <mi>j</mi> <mo>)</mo> </mrow> </msub> <mo>*</mo> <mi>c</mi> <mi>o</mi> <mi>s</mi> <mrow> <mo>(</mo> <mfrac> <mrow> <msub> <mi>&alpha;</mi> <mi>i</mi> </msub> <mo>+</mo> <msub> <mi>&beta;</mi> <mi>j</mi> </msub> </mrow> <mn>2</mn> </mfrac> <mo>)</mo> </mrow> <mo>,</mo> </mrow>Wherein, i and j represents two cells, α respectivelyiRepresent the vector angle of cell i deflection and 2 minizone lines, βjTable Show cell j deflections and the vector angle of 2 minizones, Distance represents cell i and cell j distance.
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