CN107396376A - Cell preload equalization methods and device - Google Patents
Cell preload equalization methods and device Download PDFInfo
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- CN107396376A CN107396376A CN201610324097.0A CN201610324097A CN107396376A CN 107396376 A CN107396376 A CN 107396376A CN 201610324097 A CN201610324097 A CN 201610324097A CN 107396376 A CN107396376 A CN 107396376A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/22—Traffic simulation tools or models
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/06—Testing, supervising or monitoring using simulated traffic
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/08—Load balancing or load distribution
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/0005—Control or signalling for completing the hand-off
- H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/16—Performing reselection for specific purposes
- H04W36/22—Performing reselection for specific purposes for handling the traffic
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/24—Reselection being triggered by specific parameters
- H04W36/30—Reselection being triggered by specific parameters by measured or perceived connection quality data
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- Computer Networks & Wireless Communication (AREA)
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Abstract
The invention discloses a kind of cell preload equalization methods, comprise the following steps：According to the estimated load factor of the forecast model monitoring cell pre-established；The user that estimated load factor is more than to the cell of the first threshold value is switched to the cell that estimated load factor is less than the second threshold value；Wherein, the first threshold value is more than the second threshold value.The invention also discloses a kind of cell preload balancer.The present invention is by way of prediction, cell future is predicted before cell is in higher load condition will be in higher load condition, the UE in cell is switched in advance, overcome UE caused by cell is in higher load condition frequent switching handover delay increase even service disruption the problem of, reduce UE switching number and reduce the risk of handoff failure.
Description
Technical field
The present invention relates to communication technical field, more particularly to a kind of cell preload equalization methods and device.
Background technology
In LTE (Long Term Evolution, Long Term Evolution) communication system, the resource of cell is limited
, with the increase of number of users and business number, the load of cell can gradually increase, and cell load
Increase can influence the index performance of customer service, if the load of cell can not be reduced timely and effectively,
When the load of system increases to the warning line of system, the performance that may result in system is drastically deteriorated or even drawn
Play system crash；Simultaneously as power load distributing is uneven, and for heavy load cell, its money possessed
Source is relatively deficient easily to cause the service quality of user fully to ensure, for underload cell,
But the wasting of resources be present.
Thus, load balancing technology is introduced.The effect of load balancing is exactly current small by monitoring in real time
The load and acquisition adjacent area cell load in area, and then individual cells load is prevented using load sharing mechanism
It is too high.Load equalization method is taken to make load minizone associated on geographical position as far as possible
It is evenly distributed, concentrations in some cell of load in region is reduced, so as to effectively improve system
Overall performance, improve the security, stability and capacity of system so that system reaches a total optimization
State.
Specifically, when the load of a certain cell reaches eNB (Evolved Node B, base station) settings
During higher load condition, it is necessary to using load balancing strategy, the UE (User of the selected part cell
Equipment, user equipment) another cell is balanced to by way of switching, reach the negative of minizone
Lotus is balanced.
Existing load balancing mode is all when cell is in higher load condition, by higher load condition cell
Part UE be switched to what is gone in adjacent low load condition cell, now switching may increase UE and cut
The time delay changed simultaneously improves the risk of handoff failure, moreover, carrying out UE again when cell is in higher load condition
Switch, the part UE in high load capacity cell has had the problem of access delay increase or even service disruption.
The above is only used for auxiliary and understands technical scheme, does not represent and recognizes that the above is
Prior art.
The content of the invention
It is a primary object of the present invention to provide a kind of cell preload equalization methods and device, it is intended to solve
The existing load balancing mode for carrying out UE switchings again when cell is in higher load condition, can increase UE
Switching when extend to improve the risk of handoff failure, connect moreover, part UE in loaded cell is present
The problem of entering time delay increase or even service disruption.
To achieve the above object, a kind of cell preload equalization methods provided by the invention, including following step
Suddenly：
According to the estimated load factor of the forecast model monitoring cell pre-established；
The user that estimated load factor is more than to the cell of the first threshold value is switched to estimated load factor less than second
The cell of threshold value；
Wherein, the first threshold value is more than the second threshold value.
Preferably, the step of estimated load factor for the forecast model monitoring cell that the basis pre-establishes, wraps
Include：
Weight information corresponding to the predictive factor and the predictive factor of acquisition forecast model；
The estimated load factor of respective cell is calculated according to the predictive factor and weight information.
Preferably, the step of estimated load factor of the basis pre-establishes forecast model monitoring cell it
Before, in addition to：
Obtain the load value of cell and the forecast model of cell is established according to load value.
Preferably, it is negative to be switched to prediction by the user of the cell that estimated load factor is more than to the first threshold value
Lotus rate was less than after the step of cell of the second threshold value, in addition to：
The load value of the cell after switching is obtained, the prediction of the cell is safeguarded according to the load value after switching
Model.
Preferably, it is negative to be switched to prediction by the user of the cell that estimated load factor is more than to the first threshold value
Lotus rate be less than the second threshold value cell the step of include：
Cell is divided into by cluster according to geographic neighboring BS relationship, obtains the prediction load of each cell in cluster
Rate；
The estimated load factor of cell in cluster is monitored by forecast model, minizone is by estimated load factor in cluster
User more than the cell of the first threshold value is switched to estimated load factor less than in the cell of the second threshold value；
When the cell for not having that switching user can be received in cell in cluster, estimated load factor is more than first
The user of the cell of limit value is switched to estimated load factor in adjacent cluster and is less than in the cell of the second threshold value.
In addition, to achieve the above object, the present invention also provides a kind of cell preload balancer, including：
Monitoring module, for the estimated load factor according to the forecast model monitoring cell pre-established；
Handover module, prediction is switched to for estimated load factor to be more than to the user of cell of the first threshold value
Rate of load condensate is less than the cell of the second threshold value；
Wherein, the first threshold value is more than the second threshold value.
Preferably, the monitoring module includes：
Acquiring unit, for obtain forecast model predictive factor and the predictive factor corresponding to weight letter
Breath；
Computing unit, for calculating the prediction load of respective cell according to the predictive factor and weight information
Rate.
Preferably, the cell preload balancer also includes：
Modeling module, for obtaining the load value of cell and the forecast model of cell being established according to load value.
Preferably, the cell preload balancer also includes：
Maintenance module, for obtaining the load value of the cell after switching, safeguarded according to the load value after switching
The forecast model of the cell.
Preferably, the handover module includes：
Sub-clustering unit, for cell to be divided into cluster according to geographic neighboring BS relationship, obtain each in cluster
The estimated load factor of cell；
Switch unit, for monitoring the estimated load factor of cell in cluster, the cell in cluster by forecast model
Between the user for the cell that estimated load factor is more than the first threshold value is switched to estimated load factor less than second
In the cell of limit value；When the cell for not having that switching user can be received in cell in cluster, by estimated load factor
User more than the cell of the first threshold value is switched to estimated load factor in adjacent cluster and is less than the second threshold value
In cell.
The present invention monitors the estimated load factor of cell according to the forecast model pre-established；By estimated load factor
User more than the cell of the first threshold value is switched to cell of the estimated load factor less than the second threshold value；Its
In, the first threshold value is more than the second threshold value.By way of prediction, precognition cell load rate will be in
Higher load condition, i.e., cell portion user is switched over, prevent cell to be in higher load condition, reduced
The number of high load scenarios UE switchings and the risk for reducing handoff failure, overcome UE because cell is in
Higher load condition and existing access delay increase even service disruption the problem of.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of the first embodiment of cell preload equalization methods of the present invention；
Fig. 2 is that the flow for the estimated load factor that one embodiment of the invention monitors cell according to forecast model is illustrated
Figure；
Fig. 3 is the schematic flow sheet of the second embodiment of cell preload equalization methods of the present invention；
Fig. 4 is the schematic flow sheet of the 3rd embodiment of cell preload equalization methods of the present invention；
Fig. 5 is the schematic flow sheet of the fourth embodiment of cell preload equalization methods of the present invention；
Fig. 6 is cell sub-clustering schematic diagram of the present invention；
Fig. 7 is the high-level schematic functional block diagram of the first embodiment of cell preload balancer of the present invention；
Fig. 8 is the refinement high-level schematic functional block diagram of the embodiment of computing module one in Fig. 7；
Fig. 9 is the high-level schematic functional block diagram of the second embodiment of cell preload balancer of the present invention；
Figure 10 is the high-level schematic functional block diagram of the 3rd embodiment of cell preload balancer of the present invention；
Figure 11 is the refinement high-level schematic functional block diagram of the embodiment of handover module one in Figure 10.
The realization, functional characteristics and advantage of the object of the invention will be done further referring to the drawings in conjunction with the embodiments
Explanation.
Embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to limit
The fixed present invention.
The primary solutions of the embodiment of the present invention are：According to the forecast model monitoring cell pre-established
Estimated load factor；The user that estimated load factor is more than to the cell of the first threshold value is switched to estimated load factor
Less than the cell of the second threshold value；Wherein, the first threshold value is more than the second threshold value.Pass through the side of prediction
Formula, precognition cell load rate will be in higher load condition, i.e., cell portion user be switched over, prevented
Cell is in higher load condition, reduces the number of high load scenarios UE switchings and reduces the wind of handoff failure
Danger, overcome UE because cell be in higher load condition and existing for access delay increase or even service disruption
Problem.
Due to carrying out the load balancing mode of UE switchings again when cell is in higher load condition, can increase
The time delay of UE switchings simultaneously improves the risk of handoff failure, moreover, the part UE in loaded cell has been deposited
In access delay increase even service disruption.
Based on above mentioned problem, the present invention provides a kind of cell preload equalization methods.
Reference picture 1, Fig. 1 are the schematic flow sheet of the first embodiment of cell preload equalization methods of the present invention.
In one embodiment, the cell preload equalization methods include：
Step S10, the estimated load factor of cell is monitored according to the forecast model pre-established；
UE (User Equipment, user equipment) can select a channel quality to meet condition after powering
Cell be resident, UE is therefore, small because the factors such as change in location can switch resident cell or channel
The load condition in area can be changed, and cell can also be carried out according to the load condition of itself to resident UE
Switching.Because there are certain rule, thus the load shape of cell the trip of UE user, daily schedule etc.
State change also has certain rule to follow, and cell future can be predicted according to the change of historical load state
Load condition, it is predicted so as to establish the forecast model rate of load condensate following to cell, i.e., according to pre-
Survey the estimated load factor of Model Monitoring cell.
Specifically, as shown in Fig. 2 Fig. 2 is one embodiment of the invention monitors cell according to forecast model
The schematic flow sheet of estimated load factor；The step S10 includes：
S101, obtain forecast model predictive factor and the predictive factor corresponding to weight information；
S102, the estimated load factor of respective cell is calculated according to the predictive factor and weight information.
Forecast model is that future load situation is carried out in advance based on historical load situation combination current loads situation
The model of survey, historical load situation and current loads situation have corresponding predictive factor and weight information,
By predictive factor and weight information according to rolling average, exponential smoothing, gray prediction, regression analysis and/or
Markov chain scheduling algorithm carries out computing and obtains estimated load factor.In one embodiment, for example, being born to history
The number of users of cell in lotus situation, the portfolio, small of each user (connected state UE and/or Idle state UE)
The total traffic of area user and corresponding rate of load condensate carry out the computing such as statistical induction and/or regression analysis, generation
Corresponding function and matched curve, according to the function can obtain the historical forecast of historical load situation because
Son is W (his), weight information a, and current cell load rate is substituted into the function currently to be born
The current predictive factor of lotus situation is W (cur), weight information b, wherein, a and b span are equal
Between [0,1], and a+b=1；Then estimated load factor S (pre)=W (his) * a+W (cur) * b.
Step S20, the user that estimated load factor is more than to the cell of the first threshold value are switched to estimated load factor
Less than the cell of the second threshold value；
Wherein, the first threshold value is more than the second threshold value.
The rate of load condensate in higher load condition is set as the first thresholding by cell during by more than a certain rate of load condensate
Value, the rate of load condensate in low load condition is set as the second threshold value by cell when will be less than a certain rate of load condensate,
Obviously, the first threshold value is more than the second threshold value for same cell.In the present embodiment, according to cell
Load-bearing capacity set threshold value, according to state classification of the threshold value to cell：For example, full load condition
Meet or exceed Design cooling load for cell load 100%, portfolio in cell is larger, the load of machinery systems very
Height, no Radio Resource can reallocate；Higher load condition is that cell load meets or exceeds Design cooling load
90%, but less than 100%, also certain growth space, but reached the high load journey of comparison
Spend, the interference in cell has also reached certain level；Middle load condition meets or exceeds for cell load
The 30% of Design cooling load, but less than 90%, the load of machinery systems of cell is more moderate, the interference letter in cell
Number intensity is also moderate；Low load condition is that cell load only reaches 30% of Design cooling load or less, cell
The load of machinery systems than relatively low, the interference signal intensity of minizone is also than relatively low.It is only an example above,
In other embodiments, there can be other Design of State, such as increase a load condition or reduction one
Individual load condition etc., and the value of load threshold can also be different.
According to above-mentioned classification, rate of load condensate can be set as the first threshold value for 90%, be 30% by rate of load condensate
It is set as the second threshold value；According to above-mentioned setting, the judgement of rate of load condensate is carried out to each cell, i.e., to small
Area's future load rate is judged.When the estimated load factor of cell is less than the second threshold value, represent that this is small
Area's future can be in low load condition, there is larger growth space；When the estimated load factor of cell is more than the
During one threshold value, represent that cell future can be in higher load condition, it is necessary to be in high load capacity shape in cell
The user in cell is switched into estimated load factor before state (to shunt small less than the neighbor cell of the second threshold value
Area) in go, it is necessary to the user switched out be no less than beyond the first threshold value whole users, Ke Yigen
According to the size of portfolio and combination (being preferably the big user of portfolio, it is possible to reduce the quantity of UE switchings)
Position relationship with shunting cell (is preferably the user close to shunting cell, can improve and be switched away
User network quality) filter out and need the certain customers that switch out, estimated load factor is more than the
The cell (main plot) of one threshold value is in middle load condition after the certain customers are switched out, even
It is low load condition；When multiple shunting cells be present, it is preferable that main plot is needed into what is switched out
Certain customers are switched in above-mentioned multiple shunting cells respectively, can be to shunting cell according to prediction load
Rate sorts to receive the user for being switched out from small to large, can also be according to position relationship from closely to remote row
The user that sequence is switched out to receive, alternatively, set shunting cell to receive the amount of switching user, keep away
Exempt from shunting cell estimated load factor after reception is switched user needs part again more than the first threshold value
User switches out, and causes UE to perform cell reselection repeatedly two minizones, ping-pong phenomenon occurs, increases
Add UE power consumption, reduce the stability of network.Certainly, the mistake switched out former resident UE in cell
Cheng Zhong, it is also possible to there is new UE and enter the situation that the cell is resident, after UE handoff procedures terminate,
Also need to continuously carry out the estimated load factor for calculating cell, UE switchings are carried out according to the situation of estimated load factor
The step of.
The present embodiment calculates the estimated load factor of cell according to the forecast model pre-established；Load will be predicted
Rate is switched to estimated load factor more than the certain customers of the cell of the first threshold value and is less than the small of the second threshold value
Area；Wherein, the first threshold value is more than the second threshold value.By way of prediction, cell load rate is predicted
Higher load condition will be in, i.e., cell portion user will be switched over, prevents cell from high load capacity or super occur
Switching under higher load condition, reduce the time delay of UE switchings and reduce the risk of handoff failure, overcome
UE because cell is in higher load condition and existing for access delay increase even service disruption the problem of.
Reference picture 3, Fig. 3 are the schematic flow sheet of the second embodiment of cell preload equalization methods of the present invention.
Based on the first embodiment of above-mentioned cell preload equalization methods, methods described also includes：
S12, obtain the load value of cell and the forecast model of cell is established according to load value.
, be according to daily rule when forecast model is established, it is suitable only to be established according to rule
Forecast model, it could more accurately predict the variation tendency of cell load rate, therefore the foundation of forecast model
Need to be triggered according to scene or condition, for example normally everyone trip, daily schedule are ratios
Compared with rule, the change of its rule typically follows season, week, day and technical dates, wherein technical dates
Including festivals or holidays, special weather etc..Therefore, can be by load value by season, week, day, technical dates
Scene classification, which is carried out, with current time establishes corresponding seaconal model, all models, day model, particular module
And "current" model, to the number of users of cell in the load condition of season, week, day and technical dates, each
The portfolio of user, the total traffic of community user and corresponding rate of load condensate carry out statistical induction and/or recurrence
Analysis, generates function and the matched curve of corresponding scene disaggregated model, and according to the scene classification model
Function can obtain corresponding predictive factor and weight information：Seasonal forecasting factor W (sec) and weight letter
Breath a1, weekly forecasting factor W (wek) and weight information a2, day predictive factor W (day) and weight information a3,
Special predictive factor W (spc) and weight information a4 and current predictive factor W (cur) and weight information b, its
In, a1, a2, a3, a4 and b span between [0,1], and a1+a2+a3+a4+b=1,
Then estimated load factor S (pre)=W (sec) * a1+W (wek) * a2+W (day) * a3
+W(spc)*a4+W(cur)*b；Can be advance based on experience value for a1, a2, a3, a4 and b value
Set, can also be automatically configured according to situation at that time, it is due to special predictive factor W (spc) and currently pre-
The true load condition of cell can more be reacted by surveying factor W (cur), generally be arranged to 0.4, b to a4 value
Value be arranged to 0.5, a1, a2, a3 span are between [0,0.1].
The present embodiment is established accurately according to the exhaustive division to historical load situation and current loads situation
Forecast model, the prediction to cell load rate is more accurate, improves the degree of accuracy of prediction, makes cell base
It is higher in the accuracy rate that estimated load factor switches over to UE.
Reference picture 4, Fig. 4 are the schematic flow sheet of the 3rd embodiment of cell preload equalization methods of the present invention.
Based on the second embodiment of above-mentioned cell preload equalization methods, methods described also includes：
S13, the load value of the cell after switching is obtained, the cell is safeguarded according to the load value after switching
Forecast model.
Cell UE switchings are carried out according to prediction load value, and the actual negative charge values of cell are also constantly to change
, in order to which load value more accurately follow-up to cell is predicted the actual negative, it is necessary to according to cell
Charge values are safeguarded to forecast model；The load condition of cell includes historical load situation and current loads feelings
Condition, seaconal model, all models, day model and particular module, each model are had based on historical load situation
Maintenance process it is similar, illustrated herein by taking the maintenance to day model as an example, the day predictive factor of history
For W (day), weight information m, new day predictive factor is W (nday), weight information n, wherein,
M and n span is between [0,1], and m+n=1；Then safeguard after forecast model prediction because
Sub- W (new)=(W (day) * m+W (nday) * n)/(m+n)；For fixed model：Pass through OMMB (LTE
Network management system) configuration mode, when meet configure after, be confirmed whether there is specific forecast model, such as
Fruit has forecast model, and forecast model is safeguarded by above-mentioned algorithm, otherwise according to previous embodiment institute
State the newly-built forecast model of method；For the model that happens suddenly：By configuring trigger condition, when judgement meets triggering
During condition, according to the newly-built forecast model of previous embodiment methods described, if existing corresponding forecast model,
Then forecast model is safeguarded by above-mentioned algorithm.The above-mentioned maintenance to cell forecast model, can be with
The condition safeguarded as the case may be using the time as triggering, for example, the maintenance of 12 hours granularities once, 6
Hour granularity safeguards that once even 5 minutes granularities are safeguarded once, the time as triggering maintenance condition
Interval can be the same or different, so as to which the forecast model granularity established is smaller.For above-mentioned to day mould
The method that type is safeguarded, it is assumed that configuration m=0.5, n=0.5, when configuration condition meets or happened suddenly Model Condition
Under what is met understands, cell can report its current model information, it is assumed that model information is that W (day) is reported
To center control point, center control point is adjudicated the model and whether there is, if it does not exist, then W (day)=0,
Then carrying out new business model is：W (nday), otherwise former day model is safeguarded：
0.5*W (day)+0.5*W (nday) obtains new day model.
The present embodiment is safeguarded according to the actual load rate of cell to forecast model, makes forecast model to small
The prediction of area's rate of load condensate is more accurate, improves the degree of accuracy of prediction, and it is smaller to establish the granularity of forecast model,
Such as to the granularity of hour or 5 minutes, the accuracy rate for making cell be switched over based on estimated load factor to UE
It is higher.
Reference picture 5, Fig. 5 are the schematic flow sheet of the fourth embodiment of cell preload equalization methods of the present invention.
Based on the 3rd embodiment of above-mentioned cell preload equalization methods, the step S11 includes：
S111, cell is divided into by cluster according to geographic neighboring BS relationship, obtains the pre- of each cell in cluster
Survey rate of load condensate；
Due to multiple cells under network coverage face be present, the information exchange of cell and minizone is with cell number
The increase of amount and journey geometry level increases, thus management to cell and control bring great difficulty；For
More effectively cell is managed, the present invention uses the management strategy of cluster, as shown in fig. 6, according to
Geographic neighboring BS relationship, by several it is small divide into cluster, cell in cluster is managed by server,
When carrying out load switching management, server obtains the estimated load factor of each cell in cluster.
S112, the estimated load factor of cell in cluster is monitored by forecast model, minizone will predict in cluster
Rate of load condensate is switched to estimated load factor more than the user of the cell of the first threshold value and is less than the small of the second threshold value
Qu Zhong；
When the estimated load factor of cell is more than the first threshold value, represent that cell future can be in high load capacity
State is, it is necessary to switch out the certain customers in cell before cell is in higher load condition, due to cluster
Interior cell geographical position is adjacent, and provides management service by same server, and UE is cut the minizone in cluster
Change it is more smooth and small to UE network interferences, preferably by estimated load factor be more than the first threshold value cell
Certain customers be switched to cluster interior prediction rate of load condensate less than the second threshold value cell in.
S113, when the cell for not having that switching user can be received in cell in cluster, estimated load factor is more than
The user of the cell of first threshold value is switched to the cell that estimated load factor in adjacent cluster is less than the second threshold value
In.
Because the load-bearing capacity of cell in cluster is limited, when region internal cause concentrates a large amount of UE or other bursts
Factor and causing is not previously predicted rate of load condensate and is less than cell (the shunting cell) of the second threshold value in cluster when, clothes
Business device can enter row information with adjacent server and exchange, and with the presence or absence of shunting cell in inquiry adjacent cluster, work as phase
When shunting cell in adjacent cluster be present, the certain customers switched out are needed to be switched to shunting cell main plot
In；When multiple shunting cells in adjacent cluster be present, it is preferable that main plot is needed into what is switched out
Certain customers are switched in above-mentioned multiple shunting cells respectively, can be to shunting cell according to prediction load
Rate sorts to receive the user for being switched out from small to large, can also be according to position relationship from closely to remote row
The user that sequence is switched out to receive, alternatively, set shunting cell to receive the amount of switching user, keep away
Exempt from shunting cell estimated load factor after reception is switched user needs part again more than the first threshold value
User switches out, and causes UE to perform cell reselection repeatedly two minizones, ping-pong phenomenon occurs, increases
Add UE power consumption, reduce the stability of network.
In cluster during no shunting cell, main plot is needed by the information exchange of adjacent cluster for the present embodiment
The certain customers to be switched out are switched in the shunting cell of adjacent cluster, increase the selection of UE switchings
Scope, further reduce the number of UE switchings and reduce the risk of handoff failure.
The cell preload equalization methods of first to fourth embodiment of the above method can be applied to various logical
Believe that the cell preload under standard pattern is balanced, including but not limited to GSM (2G), CDMA1X (2G),
TD-SCDMA(3G)、WCDMA(3G)、EVDO(3G)、TD-LTE(4G)、FDD-LTE(4G)
Deng communication standard.
The present invention further provides a kind of cell preload balancer.
Reference picture 7, Fig. 7 are that the functional module of the first embodiment of cell preload balancer of the present invention is shown
It is intended to.
In one embodiment, the cell preload balancer includes：Monitoring module 10 and handover module
20。
Monitoring module 10, for the estimated load factor according to the forecast model monitoring cell pre-established；
UE (User Equipment, user equipment) can select a channel quality to meet condition after powering
Cell be resident, UE is therefore, small because the factors such as change in location can switch resident cell or channel
The load condition in area can be changed, and cell can also be carried out according to the load condition of itself to resident UE
Switching.Because there are certain rule, thus the load shape of cell the trip of UE user, daily schedule etc.
State change also has certain rule to follow, and cell future can be predicted according to the change of historical load state
Load condition, it is predicted so as to establish the forecast model rate of load condensate following to cell, i.e., according to pre-
Survey the estimated load factor of Model Monitoring cell.
Specifically, as shown in figure 8, Fig. 8 is the refinement function mould of the embodiment of monitoring module 10 1 of the present invention
Block schematic diagram；The monitoring module 10 includes：
Acquiring unit 101, for obtain forecast model predictive factor and the predictive factor corresponding to weight
Information；
Computing unit 102, the prediction for calculating respective cell according to the predictive factor and weight information are born
Lotus rate.
Forecast model is that future load situation is carried out in advance based on historical load situation combination current loads situation
The model of survey, historical load situation and current loads situation have corresponding predictive factor and weight information,
By predictive factor and weight information according to rolling average, exponential smoothing, gray prediction, regression analysis and/or
Markov chain scheduling algorithm carries out computing and obtains estimated load factor.In one embodiment, for example, being born to history
The number of users of cell in lotus situation, the portfolio, small of each user (connected state UE and/or Idle state UE)
The total traffic of area user and corresponding rate of load condensate carry out the computing such as statistical induction and/or regression analysis, generation
Corresponding function and matched curve, according to the function can obtain the historical forecast of historical load situation because
Son is W (his), weight information a, and current cell load rate is substituted into the function currently to be born
The current predictive factor of lotus situation is W (cur), weight information b, wherein, a and b span are equal
Between [0,1], and a+b=1；Then estimated load factor S (pre)=W (his) * a+W (cur) * b.
Handover module 20, it is pre- for estimated load factor to be switched to more than the user of the cell of the first threshold value
Survey the cell that rate of load condensate is less than the second threshold value；
Wherein, the first threshold value is more than the second threshold value.
The rate of load condensate in higher load condition is set as the first thresholding by cell during by more than a certain rate of load condensate
Value, the rate of load condensate in low load condition is set as the second threshold value by cell when will be less than a certain rate of load condensate,
Obviously, the first threshold value is more than the second threshold value for same cell.In the present embodiment, according to cell
Load-bearing capacity set threshold value, according to state classification of the threshold value to cell：For example, full load condition
Meet or exceed Design cooling load for cell load 100%, portfolio in cell is larger, load disturbance journey
Degree is very high, and no Radio Resource can reallocate；Higher load condition is that cell load meets or exceeds design
The 90% of load, but less than 100%, also certain growth space, but reached high negative of comparison
Lotus degree, the interference in cell have also reached certain level；Middle load condition be cell load reach or
More than the 30% of Design cooling load, but less than 90%, the load of machinery systems of cell is more moderate, dry in cell
It is also moderate to disturb signal intensity；Low load condition is that cell load only reaches 30% of Design cooling load or less,
The load of machinery systems of cell is than relatively low, and the interference signal intensity of minizone is also than relatively low.It is only one above
Example, in other embodiments, can there is other Design of State, such as increase a load condition or
Load condition etc. is reduced, and the value of load threshold can also be different.
According to above-mentioned classification, rate of load condensate can be set as the first threshold value for 90%, be 30% by rate of load condensate
It is set as the second threshold value；According to above-mentioned setting, the judgement of rate of load condensate is carried out to each cell, i.e., to small
Area's future load rate is judged.When the estimated load factor of cell is less than the second threshold value, represent that this is small
Area's future can be in low load condition, there is larger growth space；When the estimated load factor of cell is more than the
During one threshold value, represent that cell future can be in higher load condition, it is necessary to be in high load capacity shape in cell
The user in cell is switched into estimated load factor before state (to shunt small less than the neighbor cell of the second threshold value
Area) in go, it is necessary to the user switched out be no less than beyond the first threshold value whole users, Ke Yigen
According to the size of portfolio and combination (being preferably the big user of portfolio, it is possible to reduce the quantity of UE switchings)
Position relationship with shunting cell (is preferably the user close to shunting cell, can improve and be switched away
User network quality) filter out and need the certain customers that switch out, estimated load factor is more than the
The cell (main plot) of one threshold value is in middle load condition after the certain customers are switched out, even
It is low load condition；When multiple shunting cells be present, it is preferable that main plot is needed into what is switched out
Certain customers are switched in above-mentioned multiple shunting cells respectively, can be to shunting cell according to prediction load
Rate sorts to receive the user for being switched out from small to large, can also be according to position relationship from closely to remote row
The user that sequence is switched out to receive, alternatively, set shunting cell to receive the amount of switching user, keep away
Exempt from shunting cell estimated load factor after reception is switched user needs part again more than the first threshold value
User switches out, and causes UE to perform cell reselection repeatedly two minizones, ping-pong phenomenon occurs, increases
Add UE power consumption, reduce the stability of network.Certainly, the mistake switched out former resident UE in cell
Cheng Zhong, it is also possible to there is new UE and enter the situation that the cell is resident, after UE handoff procedures terminate,
Also need to continuously carry out the estimated load factor for calculating cell, UE switchings are carried out according to the situation of estimated load factor
The step of.
The present embodiment calculates the estimated load factor of cell according to the forecast model pre-established；Load will be predicted
Rate is switched to estimated load factor more than the certain customers of the cell of the first threshold value and is less than the small of the second threshold value
Area；Wherein, the first threshold value is more than the second threshold value.By way of prediction, cell load rate is predicted
Higher load condition will be in, i.e., cell portion user will be switched over, prevents cell from high load capacity or super occur
Switching under higher load condition, reduce the time delay of UE switchings and reduce the risk of handoff failure, overcome
UE because cell is in higher load condition and existing for access delay increase even service disruption the problem of.
Reference picture 9, Fig. 9 are that the functional module of the second embodiment of cell preload balancer of the present invention is shown
It is intended to.The cell preload balancer also includes modeling module 30.
The modeling module 30, for obtaining the load value of cell and the prediction of cell being established according to load value
Model.
, be according to daily rule when forecast model is established, it is suitable only to be established according to rule
Forecast model, it could more accurately predict the variation tendency of cell load rate, therefore the foundation of forecast model
Need to be triggered according to scene or condition, for example normally everyone trip, daily schedule are ratios
Compared with rule, the change of its rule typically follows season, week, day and technical dates, wherein technical dates
Including festivals or holidays, special weather etc..Therefore, can be by load value by season, week, day, technical dates
Scene classification, which is carried out, with current time establishes corresponding seaconal model, all models, day model, particular module
And "current" model, to the number of users of cell in the load condition of season, week, day and technical dates, each
The portfolio of user, the total traffic of community user and corresponding rate of load condensate carry out statistical induction and/or recurrence
Analysis, generates function and the matched curve of corresponding scene disaggregated model, and according to the scene classification model
Function can obtain corresponding predictive factor and weight information：Seasonal forecasting factor W (sec) and weight letter
Breath a1, weekly forecasting factor W (wek) and weight information a2, day predictive factor W (day) and weight information a3,
Special predictive factor W (spc) and weight information a4 and current predictive factor W (cur) and weight information b, its
In, a1, a2, a3, a4 and b span between [0,1], and a1+a2+a3+a4+b=1,
Then estimated load factor S (pre)=W (sec) * a1+W (wek) * a2+W (day) * a3
+W(spc)*a4+W(cur)*b；Can be advance based on experience value for a1, a2, a3, a4 and b value
Set, can also be automatically configured according to situation at that time, it is due to special predictive factor W (spc) and currently pre-
The true load condition of cell can more be reacted by surveying factor W (cur), generally be arranged to 0.4, b to a4 value
Value be arranged to 0.5, a1, a2, a3 span are between [0,0.1].
The present embodiment is established accurately according to the exhaustive division to historical load situation and current loads situation
Forecast model, the prediction to cell load rate is more accurate, improves the degree of accuracy of prediction, makes cell base
It is higher in the accuracy rate that estimated load factor switches over to UE.
Reference picture 10, Figure 10 are the functional module of the 3rd embodiment of cell preload balancer of the present invention
Schematic diagram.The cell preload balancer also includes maintenance module 40；
The maintenance module 40, for obtaining the load value of the cell after switching, according to the load after switching
Value safeguards the forecast model of the cell.
Cell UE switchings are carried out according to prediction load value, and the actual negative charge values of cell are also constantly to change
, in order to which load value more accurately follow-up to cell is predicted the actual negative, it is necessary to according to cell
Charge values are safeguarded to forecast model；The load condition of cell includes historical load situation and current loads feelings
Condition, seaconal model, all models, day model and particular module, each model are had based on historical load situation
Maintenance process it is similar, illustrated herein by taking the maintenance to day model as an example, the day predictive factor of history
For W (day), weight information m, new day predictive factor is W (nday), weight information n, wherein,
M and n span is between [0,1], and m+n=1；Then safeguard after forecast model prediction because
Sub- W (new)=(W (day) * m+W (nday) * n)/(m+n)；For fixed model：Pass through OMMB (LTE
Network management system) configuration mode, when meet configure after, be confirmed whether there is specific forecast model, such as
Fruit has forecast model, and forecast model is safeguarded by above-mentioned algorithm, otherwise according to previous embodiment institute
State the newly-built forecast model of method；For the model that happens suddenly：By configuring trigger condition, when judgement meets triggering
During condition, according to the newly-built forecast model of previous embodiment methods described, if existing corresponding forecast model,
Then forecast model is safeguarded by above-mentioned algorithm.The above-mentioned maintenance to cell forecast model, can be with
The condition safeguarded as the case may be using the time as triggering, for example, the maintenance of 12 hours granularities once, 6
Hour granularity safeguards that once even 5 minutes granularities are safeguarded once, the time as triggering maintenance condition
Interval can be the same or different, so as to which the forecast model granularity established is smaller.For above-mentioned to day mould
The method that type is safeguarded, it is assumed that configuration m=0.5, n=0.5, when configuration condition meets or happened suddenly Model Condition
Under what is met understands, cell can report its current model information, it is assumed that model information is that W (day) is reported
To center control point, center control point is adjudicated the model and whether there is, if it does not exist, then W (day)=0,
Then carrying out new business model is：W (nday), otherwise former day model is safeguarded：
0.5*W (day)+0.5*W (nday) obtains new day model.
The present embodiment is safeguarded according to the actual load rate of cell to forecast model, makes forecast model to small
The prediction of area's rate of load condensate is more accurate, improves the degree of accuracy of prediction, and it is smaller to establish the granularity of forecast model,
Such as to the granularity of hour or 5 minutes, the accuracy rate for making cell be switched over based on estimated load factor to UE
It is higher.
Reference picture 11, Figure 11 are the functional module of the fourth embodiment of cell preload balancer of the present invention
Schematic diagram.The handover module 20 includes sub-clustering unit 201 and switch unit 202；
The sub-clustering unit 201, for cell to be divided into cluster according to geographic neighboring BS relationship, obtain cluster
The estimated load factor of interior each cell；
Due to multiple cells under network coverage face be present, the information exchange of cell and minizone is with cell number
The increase of amount and journey geometry level increases, thus management to cell and control bring great difficulty；For
More effectively cell is managed, the present invention uses the management strategy of cluster, as shown in fig. 6, according to
Geographic neighboring BS relationship, by several it is small divide into cluster, cell in cluster is managed by server,
When carrying out load switching management, server obtains the estimated load factor of each cell in cluster.
The switch unit 202, for monitoring the estimated load factor of cell in cluster by forecast model, in cluster
Estimated load factor is switched to estimated load factor more than the user of the cell of the first threshold value and is less than by interior minizone
In the cell of second threshold value；
When the estimated load factor of cell is more than the first threshold value, represent that cell future can be in high load capacity
State is, it is necessary to switch out the certain customers in cell before cell is in higher load condition, due to cluster
Interior cell geographical position is adjacent, and provides management service by same server, and UE is cut the minizone in cluster
Change it is more smooth and small to UE network interferences, preferably by estimated load factor be more than the first threshold value cell
Certain customers be switched to cluster interior prediction rate of load condensate less than the second threshold value cell in.
The switch unit 202, it is additionally operable to when the cell for not having that switching user can be received in cell in cluster,
Estimated load factor is switched into estimated load factor in adjacent cluster more than the user of the cell of the first threshold value to be less than
In the cell of second threshold value.
Because the load-bearing capacity of cell in cluster is limited, when region internal cause concentrates a large amount of UE or other bursts
Factor and causing is not previously predicted rate of load condensate and is less than cell (the shunting cell) of the second threshold value in cluster when, clothes
Business device can enter row information with adjacent server and exchange, and with the presence or absence of shunting cell in inquiry adjacent cluster, work as phase
When shunting cell in adjacent cluster be present, the certain customers switched out are needed to be switched to shunting cell main plot
In；When multiple shunting cells in adjacent cluster be present, it is preferable that main plot is needed into what is switched out
Certain customers are switched in above-mentioned multiple shunting cells respectively, can be to shunting cell according to prediction load
Rate sorts to receive the user for being switched out from small to large, can also be according to position relationship from closely to remote row
The user that sequence is switched out to receive, alternatively, set shunting cell to receive the amount of switching user, keep away
Exempt from shunting cell estimated load factor after reception is switched user needs part again more than the first threshold value
User switches out, and causes UE to perform cell reselection repeatedly two minizones, ping-pong phenomenon occurs, increases
Add UE power consumption, reduce the stability of network.
In cluster during no shunting cell, main plot is needed by the information exchange of adjacent cluster for the present embodiment
The certain customers to be switched out are switched in the shunting cell of adjacent cluster, increase the selection of UE switchings
Scope, further reduce the number of UE switchings and reduce the risk of handoff failure.
The preferred embodiments of the present invention are these are only, are not intended to limit the scope of the invention, it is every
The equivalent structure or equivalent flow conversion made using description of the invention and accompanying drawing content, or directly or
Connect and be used in other related technical areas, be included within the scope of the present invention.
Claims (10)
1. a kind of cell preload equalization methods, it is characterised in that comprise the following steps：
According to the estimated load factor of the forecast model monitoring cell pre-established；
The user that estimated load factor is more than to the cell of the first threshold value is switched to estimated load factor less than second
The cell of threshold value；
Wherein, the first threshold value is more than the second threshold value.
2. cell preload equalization methods as claimed in claim 1, it is characterised in that the basis is pre-
The step of estimated load factor for the forecast model monitoring cell first established, includes：
Weight information corresponding to the predictive factor and the predictive factor of acquisition forecast model；
The estimated load factor of respective cell is calculated according to the predictive factor and weight information.
3. cell preload equalization methods as claimed in claim 1, it is characterised in that the basis is pre-
Before the step of estimated load factor for the forecast model monitoring cell first established, in addition to：
Obtain the load value of cell and the forecast model of cell is established according to load value.
4. cell preload equalization methods as claimed any one in claims 1 to 3, it is characterised in that
The user of the cell that estimated load factor is more than to the first threshold value is switched to estimated load factor less than second
After the step of cell of threshold value, in addition to：
The load value of the cell after switching is obtained, the prediction of the cell is safeguarded according to the load value after switching
Model.
5. cell preload equalization methods as claimed in claim 4, it is characterised in that described to predict
Rate of load condensate is switched to estimated load factor more than the user of the cell of the first threshold value and is less than the small of the second threshold value
The step of area, includes：
Cell is divided into by cluster according to geographic neighboring BS relationship, obtains the prediction load of each cell in cluster
Rate；
The estimated load factor of cell in cluster is monitored by forecast model, minizone is by estimated load factor in cluster
User more than the cell of the first threshold value is switched to estimated load factor less than in the cell of the second threshold value；
When the cell for not having that switching user can be received in cell in cluster, estimated load factor is more than first
The user of the cell of limit value is switched to estimated load factor in adjacent cluster and is less than in the cell of the second threshold value.
A kind of 6. cell preload balancer, it is characterised in that including：
Monitoring module, for the estimated load factor according to the forecast model monitoring cell pre-established；
Handover module, prediction is switched to for estimated load factor to be more than to the user of cell of the first threshold value
Rate of load condensate is less than the cell of the second threshold value；
Wherein, the first threshold value is more than the second threshold value.
7. cell preload balancer as claimed in claim 6, it is characterised in that the monitoring mould
Block includes：
Acquiring unit, for obtain forecast model predictive factor and the predictive factor corresponding to weight letter
Breath；
Computing unit, for calculating the prediction load of respective cell according to the predictive factor and weight information
Rate.
8. cell preload balancer as claimed in claim 6, it is characterised in that the cell is pre-
Load balancing device also includes：
Modeling module, for obtaining the load value of cell and the forecast model of cell being established according to load value.
9. the cell preload balancer as any one of claim 6 to 8, it is characterised in that
The cell preload balancer also includes：
Maintenance module, for obtaining the load value of the cell after switching, safeguarded according to the load value after switching
The forecast model of the cell.
10. cell preload balancer as claimed in claim 9, it is characterised in that the switching
Module includes：
Sub-clustering unit, for cell to be divided into cluster according to geographic neighboring BS relationship, obtain each in cluster
The estimated load factor of cell；
Switch unit, for monitoring the estimated load factor of cell in cluster, the cell in cluster by forecast model
Between the user for the cell that estimated load factor is more than the first threshold value is switched to estimated load factor less than second
In the cell of limit value；When the cell for not having that switching user can be received in cell in cluster, by estimated load factor
User more than the cell of the first threshold value is switched to estimated load factor in adjacent cluster and is less than the second threshold value
In cell.
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