CN107371178B - high-load cell optimization method and device - Google Patents
high-load cell optimization method and device Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W24/02—Arrangements for optimising operational condition
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
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Abstract
The embodiment of the invention provides a high-load cell optimization method and a high-load cell optimization device, wherein the method comprises the following steps: determining a high-load cell to be optimized; acquiring a pilot frequency adjacent cell from a low-load adjacent cell of the high-load cell; calculating a load balancing parameter between the high-load cell and the pilot frequency adjacent cell; wherein the load balancing parameters include: an a2 threshold and an a4 threshold; calculating and adjusting the proportion of the number of the switchback users corresponding to the load balancing parameters according to the load balancing parameters; if the percentage of the number of the switchback users is smaller than a first preset threshold, the a2 threshold and the a4 threshold are used as the optimized adjustment values of the load balancing parameters to optimize the high-load cell.
Description
Technical field
The present embodiments relate to field of communication technology more particularly to a kind of high load capacity cell optimization method and devices.
Background technique
With the development of LTE network and the rapid growth of the network user, the load of Hot Spot is also gradually risen, due to
Family is unevenly distributed, and cell portion is caused high load capacity situation occur, and corresponding cell is known as high load capacity cell.
When there is LTE high load capacity cell, the prior art mainly passes through manual analysis network element performance data, alarm number
According to, work parameter according to etc. data, judge the optimisation strategy for needing to use.Existing optimisation strategy includes: adjustment load balancing ginseng
Number, cell offset, cell reselection are sluggish, cell is soft, handling failure and the hard dilatation of cell etc..
But manual analysis is relatively suitble to be in the cell of congestion state for a long time, since the mobile subscriber under LTE cell exists
Time dimension is in dynamic change state, correspondingly, the congestion state of cell is also dynamically, to pass through manual analysis and artificial tune
The whole timeliness requirement for being unable to satisfy capacity and optimizing and revising.Therefore, how to provide one kind can be according to the dynamic of cell load situation
The method that state changes real-time adjusting and optimizing strategy, becomes a urgent problem needed to be solved.
Summary of the invention
Aiming at the problems existing in the prior art, the embodiment of the present invention provides a kind of high load capacity cell optimization method and dress
It sets.
In a first aspect, the embodiment of the present invention provides a kind of high load capacity cell optimization method, which comprises
Determine high load capacity cell to be optimized；
From the underload adjacent area of the high load capacity cell, alien frequencies adjacent area is obtained；
Calculate the load balancing parameter between the high load capacity cell and the alien frequencies adjacent area；Wherein, the load balancing
Parameter includes: A2 thresholding and A4 thresholding；
According to the load balancing parameter, calculates and adjust switchback number of users accounting corresponding to the load balancing parameter；
If the switchback number of users accounting is less than the first preset threshold, using the A2 thresholding and the A4 thresholding as institute
That states load balancing parameter optimizes and revises value, optimizes to the high load capacity cell.
Second aspect, the embodiment of the present invention provide a kind of high load capacity optimizing cells device, and described device includes:
Cell determining module to be optimized, for determining high load capacity cell to be optimized；
Alien frequencies adjacent area obtains module, for obtaining alien frequencies adjacent area from the underload adjacent area of the high load capacity cell；
Load balancing parameter calculating module, it is equal for calculating the load between the high load capacity cell and the alien frequencies adjacent area
Weigh parameter；Wherein, the load balancing parameter includes: A2 thresholding and A4 thresholding；
Switchback number of users accounting computing module, for calculating and adjusting the load balancing according to the load balancing parameter
Switchback number of users accounting corresponding to parameter；
Load balancing parameter optimization module, if for the switchback number of users accounting less than the first preset threshold, by institute
A2 thresholding and the A4 thresholding are stated as the load balancing parameter and optimizes and revises value, the high load capacity cell is carried out excellent
Change.
The third aspect, the embodiment of the present invention provide a kind of high load capacity optimizing cells equipment, the equipment include memory and
Processor, the processor and the memory complete mutual communication by bus；The memory is stored with can be by institute
The program instruction of processor execution is stated, the processor calls described program instruction to be able to carry out above-mentioned high load capacity optimizing cells side
Method.
Fourth aspect, the embodiment of the present invention provide a kind of computer readable storage medium, are stored thereon with computer program,
The computer program realizes above-mentioned high load capacity optimizing cells when being executed by processor.
High load capacity cell optimization method provided in an embodiment of the present invention and device, by referring in real time to LTE high load capacity cell
Mark carries out big data excavation and analysis and makes accurate judgement using optimization algorithm, makes corresponding optimisation strategy, realizes
Timely adjustment to high load capacity subzone network parameter improves the timeliness and adjusting accuracy of adjustment.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is high load capacity cell optimization method flow chart provided in an embodiment of the present invention；
Fig. 2 is the structural schematic diagram of high load capacity optimizing cells device provided in an embodiment of the present invention；
Fig. 3 is the structural schematic diagram of high load capacity optimizing cells equipment provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical solution in the embodiment of the present invention is explicitly described, it is clear that described embodiment is the present invention
A part of the embodiment, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not having
Every other embodiment obtained under the premise of creative work is made, shall fall within the protection scope of the present invention.
Fig. 1 is high load capacity cell optimization method flow chart provided in an embodiment of the present invention, as shown in Figure 1, the method packet
It includes:
Step 10 determines high load capacity cell to be optimized；
Step 11, from the underload adjacent area of the high load capacity cell, obtain alien frequencies adjacent area；
Load balancing parameter between step 12, the calculating high load capacity cell and the alien frequencies adjacent area；Wherein, described negative
Carrying balance parameters includes: A2 thresholding and A4 thresholding；
Step 13, according to the load balancing parameter, calculate and adjust switchback user corresponding to the load balancing parameter
Number accounting；
If step 14, the switchback number of users accounting are less than the first preset threshold, by the A2 thresholding and A4 described
Limit optimizes and revises value as the load balancing parameter, optimizes to the high load capacity cell.
Specifically, can be averaged E-RAB flow according to cell from busy, by it is small divide into big Bao little Qu, middle packet cell and
Parcel cell, wherein the cell from busy be 24 hours in, when subzone network resource utilization reaches corresponding when maximum value
Section.The corresponding network index parameter of every class cell includes: RRC number, utilization rate and the uplink/downlink flow etc. of valid data transmission.
Determine a cell whether be high load capacity cell standard are as follows: as shown in Table 1, to each network index parameter setting first collect
The regular thresholding of group, for example, first group's rule thresholding of the upstream utilization of big packet cell is 45%, network index parameter is real
Actual value is greater than 90% cell of first group's rule thresholding, as high load capacity cell.
It is similar, determine a cell whether be underload cell standard are as follows: as shown in Table 2, to the net of every class cell
Network index parameter sets second group's rule thresholding, for example, second group's rule thresholding of the downstream utilization of big packet cell is
35%, the actual value of network index parameter is less than to 50% cell of second group's rule thresholding, as underload cell.
Table one
Table two
By analyzing the network index parameter actual value of cell, a cell is determined can first to sentence after high load capacity cell
Whether there is the adjacent area broken down within 2 hours current times in the periphery adjacent area for the high load capacity cell of breaking, if so, then concentrating event
Hinder platform processes failure.Wherein, the periphery adjacent area can be the cell within 300 meters of the high load capacity cell periphery；If nothing,
From the periphery adjacent area, underload adjacent area is filtered out, then, from the underload adjacent area, obtains all alien frequencies adjacent areas.
MR data of the high load capacity cell within corresponding high load capacity hour are parsed, extract the height from the MR data
MR.LteScRSRP, MR.LteNcRSRP of all users in loaded cell and the alien frequencies adjacent area, MR.LteNcPci,
MR.LteNcEarfcn, MR.LteScPUSCHPRBNum, MR.LteScPDSCHPRBNum data calculate institute according to above-mentioned data
The load balancing parameter between high load capacity cell and the alien frequencies adjacent area is stated, such as A2 thresholding and A4 thresholding；Then, calculate according to
It is corresponding from alien frequencies adjacent area switchback to institute after the A2 thresholding and A4 thresholding optimize adjustment to the high load capacity cell
State the switchback number of users accounting of high load capacity cell；If switchback number of users accounting, will be A2 described less than the first preset threshold
Limit and the A4 thresholding optimize and revise value as load balancing parameter, optimize to the high load capacity cell.For example, can be with
First preset threshold is set as 20%, if being 15% using the switchback number of users accounting that A2 thresholding and A4 thresholding are calculated,
15% less than 20%, then value can be optimized and revised using the A2 thresholding and A4 thresholding as load balancing parameter, to the height
Loaded cell optimizes adjustment.
High load capacity cell optimization method provided in an embodiment of the present invention, by calculating between high load capacity cell and alien frequencies adjacent area
Load balancing parameter and corresponding switchback number of users accounting, if switchback number of users accounting is used less than the first preset threshold
It calculates resulting load balancing parameter and adjustment is optimized to high load capacity cell, improve the timeliness optimized and revised.
Optionally, on the basis of the above embodiments, the method also includes:
If the switchback number of users accounting is greater than or equal to first preset threshold, or does not calculate the load
Weigh parameter, or does not get the alien frequencies adjacent area, then target adjacent area is obtained from the underload adjacent area of the high load capacity cell；
Wherein, the RSRP value and sampled point accounting of the target adjacent area are greater than the second preset threshold；
Calculate the switching and reselecting parameters between the high load capacity cell and the target adjacent area；Wherein, it is described switching and
Reselecting parameters include CIO Parameters threshold；
If the switching and reselecting parameters are less than third predetermined threshold value, the CIO Parameters threshold is determined as described cut
It changes and optimizes and revises value with reselecting parameters.
Specifically, if high load capacity cell periphery to be optimized only has homogeneous-frequency adjacent-domain or periphery alien frequencies adjacent area using load balancing
Parameter adjustment, in the case where being unable to satisfy requirement, then to the high load capacity cell using switching and reselecting parameters adjustable strategies.?
That is if there is any one of following three kinds of situations, then to the high load capacity cell using switching and reselecting parameters tune
Whole strategy.These three situations are respectively as follows: switchback number of users accounting and are greater than the first preset threshold, do not calculate A2 thresholding and A4
Limit and do not get the alien frequencies adjacent area.
If there is any of above-mentioned three kinds of situations, first from the underload adjacent area of the high load capacity cell, screening
Meet RSRP value out and sampled point accounting is greater than the adjacent area of the second preset threshold, as target adjacent area.For example, can be by described
Two preset thresholds setting are as follows: RSRP value is greater than -110dBm and sampled point accounting is greater than 10%.
After getting the target adjacent area, from the high load capacity cell in the MR data in corresponding high load capacity hour,
Extract MR.LteScRSRP, MR.LteNcRSRP of all users, MR.LteNcPci, MR.LteNcEarfcn,
MR.LteScPUSCHPRBNum, MR.LteScPDSCHPRBNum utilize the existing user in above-mentioned data and traffic statistics data
Number, calculates the switching and reselecting parameters between the high load capacity cell and target adjacent area, i.e. CIO Parameters threshold.If the CIO is adopted
Several thresholdings of receiving are less than third predetermined threshold value, then the CIO Parameters threshold is determined as to the optimization tune of the switching and reselecting parameters
Whole value optimizes adjustment to the high load capacity cell, wherein the third predetermined threshold value is that the maximum of CIO Parameters threshold can
Adjusted value, for example, 10 can be set it to, it, then can be by 6 if the CIO Parameters threshold calculated is 6,6 less than 10
Value is optimized and revised as the switching and reselecting parameters, adjustment is optimized to the high load capacity cell.
High load capacity cell optimization method provided in an embodiment of the present invention, by only having in high load capacity cell periphery to be optimized
In the case that homogeneous-frequency adjacent-domain or periphery alien frequencies adjacent area are unable to satisfy requirement using the adjustment of load balancing parameter, the high load capacity is calculated
Switching and reselecting parameters between cell and target adjacent area carry out the high load capacity cell using switching and reselecting parameters strategy
It optimizes and revises, improves the timeliness optimized and revised, and make the high load capacity cell optimization method, it is more scientific, reasonable.
Optionally, on the basis of the above embodiments, between calculating the high load capacity cell and the alien frequencies adjacent area
Load balancing parameter, comprising:
The RSRP value, the maximum RSRP value in the alien frequencies adjacent area and the high load capacity for obtaining the high load capacity cell are small
Area needs balanced number of users accounting out；
Calculate A2 thresholding and A4 thresholding, wherein the condition that the A2 thresholding and the A4 thresholding meet includes: described high negative
The RSRP value of lotus cell is greater than A4 thresholding less than the maximum RSRP value in A2 thresholding and the alien frequencies adjacent area and the high load capacity is small
The difference of maximum RSRP value in the RSRP value in area and the alien frequencies adjacent area is greater than institute less than the number of users accounting of the 4th preset threshold
Stating needs balanced number of users accounting out；
Using the smallest A2 thresholding of difference and A4 thresholding as the load between the high load capacity cell and the alien frequencies adjacent area
Balance parameters optimize the high load capacity cell.
The load balancing parameter referred in above method embodiment, the i.e. calculation method of A2 thresholding and A4 thresholding, specifically:
Firstly, the MR data of high load capacity cell to be optimized within corresponding high load capacity hour are parsed, from the MR data, described in acquisition
The RSRP value A of high load capacity cell, the maximum value B in the RSRP value of all alien frequencies adjacent areas and the high load capacity cell need equilibrium to go out
Number of users accounting X1；Wherein, the calculation formula of the X1 are as follows: (existing number of users Y- number of users dilatation thresholding Z)/existing user
Number Y+2%, wherein existing number of users is that the high load capacity cell corresponds to effective RRC connection average in high load capacity hour,
Number of users dilatation thresholding is effective RRC connection average group rule thresholding of high load capacity cell definitions；Then, statistics meets A
Value is lower than A2 thresholding and B value is higher than A4 thresholding and A-B less than the number of users of the 4th preset threshold, calculates the number of users and the MR
The ratio between all numbers of users in data I, wherein the 4th preset threshold can be set as 3dB；It calculates and meets all of I > X1
(A2, A4) chooses the smallest a pair (A2, A4) of difference, as A2 thresholding and A4 thresholding then from all (A2, A4).
Correspondingly, being calculated according to the A2 thresholding and A4 thresholding from alien frequencies adjacent area switchback to the high load capacity cell
Switchback number of users accounting method are as follows: according to the MR data, statistics meets A value lower than A2 thresholding and B value is higher than A4 thresholding
And (A-B) is greater than the first number of users of 3dB, and meets the second user number that A value is higher than A4 thresholding lower than A2 thresholding and B value,
The ratio between first number of users and the second user number, as returning from alien frequencies adjacent area switchback to the high load capacity cell
Cut number of users accounting.
If the switchback number of users accounting is less than first preset threshold, using the A2 thresholding and A4 thresholding as negative
Carry balance parameters optimizes and revises value, optimizes to the high load capacity cell.
High load capacity cell optimization method provided in an embodiment of the present invention, the item met by setting A2 thresholding and A4 thresholding
Part, i.e. the RSRP value of high load capacity cell are less than the maximum RSRP value in A2 thresholding and the alien frequencies adjacent area and are greater than A4 thresholding and described
The difference of maximum RSRP value in the RSRP value of high load capacity cell and the alien frequencies adjacent area is accounted for less than the number of users of the 4th preset threshold
Than needing balanced number of users accounting out, and the smallest A2 thresholding of difference and A4 threshold value greater than described, calculating height to be optimized
Load balancing parameter between loaded cell and alien frequencies adjacent area optimizes the high load capacity cell, improves to high load capacity
Cell optimizes the timeliness and adjusting accuracy of adjustment.
Optionally, on the basis of the various embodiments described above, it is described calculate the high load capacity cell and the target adjacent area it
Between switching and reselecting parameters, comprising:
Obtaining the RSRP value of the high load capacity cell, the RSRP value of the target adjacent area and the high load capacity cell needs
The number of users accounting to weigh out；
Calculate the CIO Parameters threshold between the high load capacity cell and the target adjacent area, wherein the CIO parameter door
The condition that limit meets includes: the difference of the RSRP value of the high load capacity cell and the RSRP value of the target adjacent area less than CIO parameter
The number of users accounting of thresholding needs balanced number of users accounting out greater than the high load capacity cell；
By the minimum value in the CIO Parameters threshold, it is determined as the switching and reselecting parameters.
It specifically,, can be first according to corresponding sampled point after filtering out Target cell according to the method in above-described embodiment
The size of accounting carries out priority ranking to the Target cell, wherein sampled point accounting is higher, corresponding Target cell
Priority is higher.
Next, the sequence according to priority from high in the end, successively calculates as follows, high load capacity to be optimized is small
Switching and reselecting parameters between area and target adjacent area:
Firstly, obtaining the RSRP value A1 of high load capacity cell, the mesh of the first priority from the MR data and traffic statistics data
The RSRP value B1 and the high load capacity cell for marking adjacent area need balanced number of users accounting X1 out；
Then, the MR data according to the high load capacity cell within corresponding high load capacity hour and the calculating of traffic statistics data meet A1
And number of users accounting X2 of the difference of B1 less than threshold value M is greater than the threshold value M of X1, by the minimum value in threshold value M, as described
CIO Parameters threshold between high load capacity cell and the target adjacent area of the priority first.
If the target adjacent area of the first priority meets adjustment target, do not have to continue to calculate, otherwise according to the above method, after
CIO parameter between the continuous target adjacent area and the high load capacity adjacent area for calculating the second priority adjusts thresholding, in calculating process,
Remove the number of users gone out by the target adjacent area equilibrium of the first priority and user.
In addition, the switching and reselecting parameters adjustable strategies are adjustment of the adjacent area to grade, for example, cell A is to be optimized
High load capacity cell, cell B are the target adjacent area of cell A, if using switching and reselecting parameters adjustment plan from cell A to cell B
Slightly, adjustment is optimized, then is also corresponded to from cell B to cell A and does reversed adjustment, i.e., join from cell A to the CIO of cell B
Number thresholding is L, then the CIO Parameters threshold from cell B to cell A is-L.
High load capacity cell optimization method provided in an embodiment of the present invention, the condition met by setting CIO Parameters threshold, i.e.,
The difference of the RSRP value of the high load capacity cell and the RSRP value of the target adjacent area is less than the number of users accounting of CIO Parameters threshold,
Balanced number of users accounting out is needed greater than the high load capacity cell, is calculated between high load capacity cell and target adjacent area to be optimized
Switching and reselecting parameters, the high load capacity cell is optimized, improve to high load capacity cell optimize adjustment when
Effect property and adjusting accuracy.
Optionally, on the basis of the various embodiments described above, the method also includes:
If all high load capacity adjacent areas in the adjacent area of the high load capacity cell or the switching and reselecting parameters are greater than or equal to
The third predetermined threshold value then carries out hard dilatation to the high load capacity cell.
Specifically, if all high load capacity adjacent areas in the adjacent area of high load capacity cell to be optimized, or using switching and gravity treatment
When parameter strategy is adjusted the high load capacity cell, resulting CIO parameter is calculated greater than third predetermined threshold value, i.e. CIO ginseng
The adjustable maximum values of number, for above situation, can by using the mode for carrying out hard dilatation to the high load capacity cell, into
Row is optimized and revised.
High load capacity cell optimization method provided in an embodiment of the present invention, by all high load capacity adjacent areas in adjacent area or described
Switching and reselecting parameters are greater than or equal to the high load capacity cell to be optimized of the third predetermined threshold value, are carried out using hard dilatation strategy
It optimizes and revises, so that the high load capacity cell optimization method is more scientific, reasonable.
Fig. 2 is the structural schematic diagram of high load capacity optimizing cells device provided in an embodiment of the present invention, as shown in Fig. 2, described
Device includes: that cell determining module 20 to be optimized, alien frequencies adjacent area obtain module 21, load balancing parameter calculating module 22, switchback
Number of users accounting computing module 23 and load balancing parameter optimization module 24, in which:
Cell determining module 20 to be optimized is for determining high load capacity cell to be optimized；Alien frequencies adjacent area obtains module 21 and is used for
From the underload adjacent area of the high load capacity cell, alien frequencies adjacent area is obtained；Load balancing parameter calculating module 22 is for calculating institute
State the load balancing parameter between high load capacity cell and the alien frequencies adjacent area；Wherein, the load balancing parameter includes: A2 thresholding
With A4 thresholding；Switchback number of users accounting computing module 23 is used to that it is equal to calculate the adjustment load according to the load balancing parameter
Switchback number of users accounting corresponding to the parameter that weighs；If load balancing parameter optimization module 24 is small for the switchback number of users accounting
It is in the first preset threshold, then right using the A2 thresholding and the A4 thresholding as the value of optimizing and revising of the load balancing parameter
The high load capacity cell optimizes.
Specifically, cell determining module 20 to be optimized passes through the network index parameter actual value of analysis cell, if it exists net
Network index parameter actual value is greater than the 90% of group's rule thresholding, it is determined that the cell is high load capacity cell to be optimized；Alien frequencies
Adjacent area, which obtains module 21, can obtain all alien frequencies adjacent areas from the underload adjacent area of the high load capacity cell；Load balancing
Parameter calculating module 22 is by parsing MR data of the high load capacity cell within corresponding high load capacity hour, from the MR data
Extract MR.LteScRSRP, MR.LteNcRSRP of all users in the high load capacity cell and institute's alien frequencies adjacent area,
MR.LteNcPci, MR.LteNcEarfcn, MR.LteScPUSCHPRBNum, MR.LteScPDSCHPRBNum data, according to upper
It states data and calculates load balancing parameter between the high load capacity cell and the alien frequencies adjacent area, such as A2 thresholding and A4 thresholding；It returns
It cuts the calculating of number of users accounting computing module 23 and tune is optimized to the high load capacity cell according to the A2 thresholding and A4 thresholding
After whole, the corresponding switchback number of users accounting from alien frequencies adjacent area switchback to the high load capacity cell；If load balancing is joined
Number optimization modules 24 know by judgements, the switchback number of users accounting less than the first preset threshold, then by the A2 thresholding and
The A4 thresholding optimizes and revises value as the load balancing parameter, optimizes to the high load capacity cell.
High load capacity optimizing cells device provided in an embodiment of the present invention, function referring in particular to above method embodiment, this
Place repeats no more.
High load capacity optimizing cells device provided in an embodiment of the present invention, by calculating between high load capacity cell and alien frequencies adjacent area
Load balancing parameter and corresponding switchback number of users accounting, if switchback number of users accounting is used less than the first preset threshold
Resulting load balancing parameter is calculated, adjustment is optimized to high load capacity cell, improves the timeliness optimized and revised.
Optionally, on the basis of the above embodiments, described device includes: cell determining module to be optimized, alien frequencies adjacent area
Obtain module, load balancing parameter calculating module, switchback number of users accounting computing module, load balancing parameter optimization module, mesh
It marks adjacent area and obtains module, switching and reselecting parameters computing module and switching and reselecting parameters determining module, in which:
If target adjacent area obtains module and is used to be greater than or equal to the described first default threshold for the switchback number of users accounting
Value, or do not calculate the load balancing parameter, or do not get the alien frequencies adjacent area, then from the high load capacity cell
Target adjacent area is obtained in underload adjacent area；Wherein, the RSRP value and sampled point accounting of the target adjacent area are greater than the second default threshold
Value；Switching and reselecting parameters computing module are used to calculate the switching and gravity treatment between the high load capacity cell and the target adjacent area
Parameter；Wherein, the switching and reselecting parameters include CIO Parameters threshold；If switching and reselecting parameters determining module are for described
Switching and reselecting parameters are less than third predetermined threshold value, then the CIO Parameters threshold are determined as the switching and reselecting parameters
Optimize and revise value.
Specifically, the cell determining module to be optimized, the alien frequencies adjacent area obtain module, the load balancing parameter meter
Module, the switchback number of users accounting computing module and the load balancing parameter optimization module are calculated, in the above-described embodiments
Detailed description, details are not described herein again.If high load capacity cell periphery to be optimized only has homogeneous-frequency adjacent-domain or periphery alien frequencies adjacent area to use
Load balancing parameter adjustment, in the case where being unable to satisfy requirement, then to the high load capacity cell using switching and reselecting parameters tune
Whole strategy.That is, if there is any one of following three kinds of situations, then to high load capacity cell use switching and again
Select parameter strategy.These three situations are respectively as follows: the calculated switchback number of users accounting of switchback number of users accounting computing module
A2 thresholding and A4 thresholding and the alien frequencies are not calculated greater than the first preset threshold, the load balancing parameter calculating module
Adjacent area obtains the alien frequencies adjacent area that module does not get the high load capacity cell.
If there is any of above-mentioned three kinds of situations, target adjacent area obtains module first from the low negative of the high load capacity cell
In lotus adjacent area, filters out and meet the adjacent area of RSRP value and sampled point accounting greater than the second preset threshold, as target adjacent area.Than
Such as, second preset threshold can be set are as follows: RSRP value is greater than -110dBm and sampled point accounting is greater than 10%.The mesh
After acquisition module in mark adjacent area gets the target adjacent area, switching and reselecting parameters computing module exist from the high load capacity cell
In the MR data of corresponding high load capacity hour, extract MR.LteScRSRP, MR.LteNcRSRP of all users, MR.LteNcPci,
MR.LteNcEarfcn, MR.LteScPUSCHPRBNum, MR.LteScPDSCHPRBNum utilize above-mentioned data and traffic statistics number
According to, calculate the switching and reselecting parameters between the high load capacity cell and target adjacent area, i.e. CIO Parameters threshold, if switching and again
Parameter determination module is selected to know by judgement, the CIO Parameters threshold is less than third predetermined threshold value, then by the CIO parameter door
Limit is determined as the switching and reselecting parameters optimize and revise value, to the high load capacity cell optimizes adjustment.Wherein, described
Third predetermined threshold value is the maximum adjustable value of CIO parameter, for example, 10 can be set it to, if the CIO calculated
Parameters threshold is 6,6 less than 10, then value can be optimized and revised as the switching and reselecting parameters for 6, to the high load capacity
Cell optimizes adjustment.
High load capacity optimizing cells device provided in an embodiment of the present invention, by only having in high load capacity cell periphery to be optimized
In the case that homogeneous-frequency adjacent-domain or periphery alien frequencies adjacent area are unable to satisfy requirement using the adjustment of load balancing parameter, the high load capacity is calculated
Switching and reselecting parameters between cell and target adjacent area use switching and reselecting parameters strategy to the high load capacity cell, into
Row is optimized and revised, and improves the timeliness optimized and revised, and make the high load capacity optimizing cells device, more scientific, conjunction
Reason.
Optionally, on the basis of the various embodiments described above, the load balancing parameter calculating module include: acquiring unit,
Computing unit and optimization unit, in which:
Acquiring unit be used to obtain the RSRP value of the high load capacity cell, the maximum RSRP value in the alien frequencies adjacent area and
The high load capacity cell needs balanced number of users accounting out；Computing unit is used for for calculating A2 thresholding and A4 thresholding, wherein institute
It states the RSRP value that the condition that A2 thresholding and the A4 thresholding meet includes: the high load capacity cell and is less than A2 thresholding and the alien frequencies
Maximum RSRP value in adjacent area is greater than A4 thresholding and the maximum in the RSRP value of the high load capacity cell and the alien frequencies adjacent area
The difference of RSRP value needs balanced number of users accounting out greater than described less than the number of users accounting of the 4th preset threshold；Optimize unit
For using the smallest A2 thresholding of difference and A4 thresholding as the load balancing between the high load capacity cell and the alien frequencies adjacent area
Parameter optimizes the high load capacity cell.
Specifically, acquiring unit is corresponding to the MR data in high load capacity hour by parsing high load capacity cell to be optimized,
From the RSRP value A of the high load capacity cell is obtained in the MR data, the maximum value B in the RSRP value of all alien frequencies adjacent areas and
The high load capacity cell needs balanced number of users accounting X1 out；Then, computing unit statistics meets A value lower than A2 thresholding and B value
Higher than A4 thresholding and A-B is less than the number of users of the 4th preset threshold, calculates all users in the number of users and the MR data
The ratio between number I, wherein the 4th preset threshold can be set as 3dB；All (A2, the A4) for meeting I > X1 is calculated, is then optimized
Unit chooses the smallest a pair (A2, A4) of difference, as A2 thresholding and A4 thresholding from all (A2, A4).
Correspondingly, the switchback number of users accounting computing module referred in above-described embodiment, according to the A2 thresholding and A4
Limit, the method for calculating the switchback number of users accounting from alien frequencies adjacent area switchback to the high load capacity cell are as follows: according to the MR
Data, statistics meets A value lower than A2 thresholding and B value is higher than A4 thresholding and A-B is greater than the first number of users of 3dB, and meets A value
Second user number lower than A2 thresholding and B value higher than A4 thresholding, the ratio between first number of users and the second user number, as
From alien frequencies adjacent area switchback to the switchback number of users accounting of the high load capacity cell.If the switchback number of users accounting is less than institute
The first preset threshold is stated, then optimizes and revises value using the A2 thresholding and A4 thresholding as load balancing parameter, to described high negative
Lotus cell optimizes.
High load capacity optimizing cells device provided in an embodiment of the present invention, the item met by setting A2 thresholding and A4 thresholding
Part, i.e. the RSRP value of high load capacity cell are less than the maximum RSRP value in A2 thresholding and the alien frequencies adjacent area and are greater than A4 thresholding and described
The difference of maximum RSRP value in the RSRP value of high load capacity cell and the alien frequencies adjacent area is accounted for less than the number of users of the 4th preset threshold
Than needing balanced number of users accounting out, and difference minimum A2 thresholding and A4 threshold value greater than described, it is negative calculating height to be optimized
Load balancing parameter between lotus cell and alien frequencies adjacent area optimizes the high load capacity cell, improves small to high load capacity
Area optimizes the timeliness and adjusting accuracy of adjustment.
Fig. 3 is the structural schematic diagram of high load capacity optimizing cells equipment provided in an embodiment of the present invention, as shown in figure 3, described
High load capacity optimizing cells equipment includes: processor (processor) 31, memory (memory) 32 and bus 33, in which:
The processor 31 and the memory 32 complete mutual communication by the bus 33；The processor 31
For calling the program instruction in the memory 32, to execute method provided by above-mentioned each method embodiment, for example,
Determine high load capacity cell to be optimized；From the underload adjacent area of the high load capacity cell, alien frequencies adjacent area is obtained；Calculate the height
Load balancing parameter between loaded cell and the alien frequencies adjacent area；Wherein, the load balancing parameter includes: A2 thresholding and A4
Thresholding；According to the load balancing parameter, calculates and adjust switchback number of users accounting corresponding to the load balancing parameter；If institute
Switchback number of users accounting is stated less than the first preset threshold, then is joined using the A2 thresholding and the A4 thresholding as the load balancing
Several optimizes and revises value, optimizes to the high load capacity cell.
The embodiment of the present invention discloses a kind of computer program product, and the computer program product is non-transient including being stored in
Computer program on computer readable storage medium, the computer program include program instruction, when described program instructs quilt
When computer executes, computer is able to carry out method provided by above-mentioned each method embodiment, for example, determines to be optimized
High load capacity cell；From the underload adjacent area of the high load capacity cell, alien frequencies adjacent area is obtained；Calculate the high load capacity cell and institute
State the load balancing parameter between alien frequencies adjacent area；Wherein, the load balancing parameter includes: A2 thresholding and A4 thresholding；According to institute
Load balancing parameter is stated, calculates and adjusts switchback number of users accounting corresponding to the load balancing parameter；If the switchback user
Number accounting is less than the first preset threshold, then using the A2 thresholding and the A4 thresholding as the optimization tune of the load balancing parameter
Whole value optimizes the high load capacity cell.
The embodiment of the present invention provides a kind of non-transient computer readable storage medium, the non-transient computer readable storage
Medium storing computer instruction, the computer instruction make the computer execute side provided by above-mentioned each method embodiment
Method, for example, determine high load capacity cell to be optimized；From the underload adjacent area of the high load capacity cell, it is adjacent to obtain alien frequencies
Area；Calculate the load balancing parameter between the high load capacity cell and the alien frequencies adjacent area；Wherein, the load balancing parameter packet
It includes: A2 thresholding and A4 thresholding；According to the load balancing parameter, calculates and adjust the use of switchback corresponding to the load balancing parameter
Amount accounting；If the switchback number of users accounting less than the first preset threshold, using the A2 thresholding and the A4 thresholding as
The load balancing parameter optimizes and revises value, optimizes to the high load capacity cell.
Those of ordinary skill in the art will appreciate that: realize that all or part of the steps of above method embodiment can pass through
The relevant hardware of program instruction is completed, and program above-mentioned can be stored in a computer readable storage medium, the program
When being executed, step including the steps of the foregoing method embodiments is executed；And storage medium above-mentioned includes: ROM, RAM, magnetic disk or light
The various media that can store program code such as disk.
The embodiments such as high load capacity optimizing cells equipment described above are only schematical, wherein described as separation
The unit of part description may or may not be physically separated, component shown as a unit can be or
It can not be physical unit, it can it is in one place, or may be distributed over multiple network units.It can be according to reality
Border needs to select some or all of the modules therein to achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art
Without paying creative labor, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Based on this understanding, on
Stating technical solution, substantially the part that contributes to existing technology can be embodied in the form of software products in other words, should
Computer software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes each implementation
Method described in certain parts of example or embodiment.
Finally, it should be noted that the above various embodiments is only to illustrate the technical solution of the embodiment of the present invention, rather than it is right
It is limited；Although the embodiment of the present invention is described in detail referring to foregoing embodiments, the ordinary skill of this field
Personnel are it is understood that it is still possible to modify the technical solutions described in the foregoing embodiments, or to part
Or all technical features are equivalently replaced；And these are modified or replaceed, it does not separate the essence of the corresponding technical solution
The range of each embodiment technical solution of the embodiment of the present invention.
Claims (6)
1. a kind of high load capacity cell optimization method characterized by comprising
Determine high load capacity cell to be optimized；
From the underload adjacent area of the high load capacity cell, alien frequencies adjacent area is obtained；
Calculate the load balancing parameter between the high load capacity cell and the alien frequencies adjacent area；Wherein, the load balancing parameter
It include: A2 thresholding and A4 thresholding；
According to the load balancing parameter, calculates and adjust switchback number of users accounting corresponding to the load balancing parameter；
If the switchback number of users accounting is less than the first preset threshold, using the A2 thresholding and the A4 thresholding as described negative
Carry balance parameters optimizes and revises value, optimizes to the high load capacity cell；
The method also includes:
If the switchback number of users accounting is greater than or equal to first preset threshold, or does not calculate the load balancing ginseng
Number, or do not get the alien frequencies adjacent area, then target adjacent area is obtained from the underload adjacent area of the high load capacity cell；Its
In, the RSRP value and sampled point accounting of the target adjacent area are greater than the second preset threshold；
Calculate the switching and reselecting parameters between the high load capacity cell and the target adjacent area；Wherein, the switching and gravity treatment
Parameter includes CIO Parameters threshold；
If it is described switching and reselecting parameters be less than third predetermined threshold value, by the CIO Parameters threshold be determined as it is described switching and
Reselecting parameters optimize and revise value；
Wherein, the load balancing parameter calculated between the high load capacity cell and the alien frequencies adjacent area, comprising:
The RSRP value, the maximum RSRP value in the alien frequencies adjacent area and the high load capacity cell for obtaining the high load capacity cell need
The number of users accounting that equilibrium goes out；
Calculate A2 thresholding and A4 thresholding, wherein the condition that the A2 thresholding and the A4 thresholding meet includes: that the high load capacity is small
The RSRP value in area is less than the maximum RSRP value in A2 thresholding and the alien frequencies adjacent area and is greater than A4 thresholding and the high load capacity cell
The difference of maximum RSRP value in RSRP value and the alien frequencies adjacent area is greater than the need less than the number of users accounting of the 4th preset threshold
The number of users accounting that equilibrium goes out；
Using the smallest A2 thresholding of difference and A4 thresholding as the load balancing between the high load capacity cell and the alien frequencies adjacent area
Parameter optimizes the high load capacity cell.
2. the method according to claim 1, wherein described calculate the high load capacity cell and the target adjacent area
Between switching and reselecting parameters, comprising:
Obtaining the RSRP value of the high load capacity cell, the RSRP value of the target adjacent area and the high load capacity cell needs equilibrium to go out
Number of users accounting；
Calculate the CIO Parameters threshold between the high load capacity cell and the target adjacent area, wherein the CIO Parameters threshold is full
The condition of foot includes: the difference of the RSRP value of the high load capacity cell and the RSRP value of the target adjacent area less than CIO Parameters threshold
Number of users accounting, greater than the high load capacity cell need it is balanced go out number of users accounting；
By the minimum value in the CIO Parameters threshold, it is determined as the switching and reselecting parameters.
3. the method according to claim 1, wherein the method also includes:
If all high load capacity adjacent areas in the adjacent area of the high load capacity cell or the switching and reselecting parameters are greater than or equal to described
Third predetermined threshold value then carries out hard dilatation to the high load capacity cell.
4. a kind of high load capacity optimizing cells device characterized by comprising
Cell determining module to be optimized, for determining high load capacity cell to be optimized；
Alien frequencies adjacent area obtains module, for obtaining alien frequencies adjacent area from the underload adjacent area of the high load capacity cell；
Load balancing parameter calculating module, for calculating the ginseng of the load balancing between the high load capacity cell and the alien frequencies adjacent area
Number；Wherein, the load balancing parameter includes: A2 thresholding and A4 thresholding；
Switchback number of users accounting computing module, for calculating and adjusting the load balancing parameter according to the load balancing parameter
Corresponding switchback number of users accounting；
Load balancing parameter optimization module, if for the switchback number of users accounting less than the first preset threshold, by the A2
Thresholding and the A4 thresholding optimize and revise value as the load balancing parameter, optimize to the high load capacity cell；
Described device further include:
Target adjacent area obtains module, if being greater than or equal to first preset threshold for the switchback number of users accounting, or does not have
The load balancing parameter is calculated, or does not get the alien frequencies adjacent area, then from the underload of the high load capacity cell
Target adjacent area is obtained in adjacent area；Wherein, the RSRP value and sampled point accounting of the target adjacent area are greater than the second preset threshold；
Switching and reselecting parameters computing module, for calculating switching between the high load capacity cell and the target adjacent area and again
Select parameter；Wherein, the switching and reselecting parameters include CIO Parameters threshold；
Switching and reselecting parameters determining module will be described if being less than third predetermined threshold value for the switching and reselecting parameters
CIO Parameters threshold is determined as the switching and reselecting parameters optimize and revise value；
Wherein, the load balancing parameter calculating module includes:
Acquiring unit, for obtaining the RSRP value of the high load capacity cell, the maximum RSRP value in the alien frequencies adjacent area and institute
Stating high load capacity cell needs balanced number of users accounting out；
Computing unit, for calculating A2 thresholding and A4 thresholding, wherein the condition packet that the A2 thresholding and the A4 thresholding meet
Include: the maximum RSRP value that the RSRP value of the high load capacity cell is less than in A2 thresholding and the alien frequencies adjacent area is greater than A4 thresholding and institute
State number of users of the difference less than the 4th preset threshold of the maximum RSRP value in the RSRP value and the alien frequencies adjacent area of high load capacity cell
Accounting needs balanced number of users accounting out greater than described；
Optimize unit, for using the smallest A2 thresholding of difference and A4 thresholding as the high load capacity cell and the alien frequencies adjacent area it
Between load balancing parameter, the high load capacity cell is optimized.
5. a kind of high load capacity optimizing cells equipment, which is characterized in that including memory and processor, the processor and described deposit
Reservoir completes mutual communication by bus；The memory is stored with the program instruction that can be executed by the processor, institute
Stating processor calls described program instruction to be able to carry out the method as described in claims 1 to 3 is any.
6. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program is located
Manage the method realized as described in claims 1 to 3 is any when device executes.
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| CN109905889B (en) * | 2017-12-08 | 2022-03-04 | 中国移动通信集团山西有限公司 | Wireless resource balancing method, device, equipment and medium |
| CN113133035B (en) * | 2018-06-06 | 2022-07-22 | 湖北邮电规划设计有限公司 | LTE high-load cell discrimination method and system |
| CN110868735B (en) * | 2018-08-27 | 2023-04-07 | 中国移动通信集团广东有限公司 | Load balancing method and device |
| CN109151881B (en) * | 2018-11-16 | 2021-11-09 | 南京华苏科技有限公司 | Network load balancing optimization method based on user data |
| CN111263403B (en) * | 2018-11-30 | 2022-12-27 | 中国移动通信集团浙江有限公司 | Method and device for balancing load among multi-frequency cells under LTE network |
| CN112020098B (en) * | 2019-05-30 | 2023-04-28 | 中国移动通信集团重庆有限公司 | Load balancing method, device, computing equipment and computer storage medium |
| CN110381539B (en) * | 2019-08-28 | 2023-04-18 | 中国联合网络通信集团有限公司 | Network load balancing method, device and system |
| CN112911611B (en) * | 2019-11-19 | 2022-07-01 | 中国移动通信集团山东有限公司 | Cell optimization method, device, storage medium and source base station |
| CN110913401A (en) | 2019-11-26 | 2020-03-24 | 南京华苏科技有限公司 | Method for optimizing imbalance of network same coverage load based on user data |
| CN111093229B (en) * | 2019-12-25 | 2022-09-13 | 中国移动通信集团内蒙古有限公司 | Method, device, equipment and medium for determining load balancing parameters |
| CN111182604A (en) * | 2019-12-27 | 2020-05-19 | 北京拓明科技有限公司 | Intelligent balancing method and system for LTE wireless network load |
| CN113329444B (en) * | 2020-02-28 | 2022-07-01 | 中国移动通信集团福建有限公司 | High-load cell optimization method and device and electronic equipment |
| CN113395712B (en) * | 2020-03-11 | 2023-04-07 | 中国移动通信集团设计院有限公司 | High-load cell optimization method and device |
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