CN102075941A - Method and device for realizing base station optimization - Google Patents

Method and device for realizing base station optimization Download PDF

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Publication number
CN102075941A
CN102075941A CN 200910237920 CN200910237920A CN102075941A CN 102075941 A CN102075941 A CN 102075941A CN 200910237920 CN200910237920 CN 200910237920 CN 200910237920 A CN200910237920 A CN 200910237920A CN 102075941 A CN102075941 A CN 102075941A
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base station
bunch
base stations
similarity
clustering
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肖建华
王超
梁立涛
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China Mobile Group Beijing Co Ltd
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China Mobile Group Beijing Co Ltd
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Abstract

The present invention discloses a method and a device for realizing base station optimization, wherein the method comprises the steps of: determining the similarity among a plurality of base stations by quantifying the assigned parameters of the plurality of base stations; clustering the plurality of base stations to obtain one or more first clusters according to the determined similarity; and optimizing the performance by controlling the range of the base stations in the one or more first clusters. The method and the device of the invention obtain the similarity among the plurality of base stations according to the base station parameters, cluster the plurality of base stations according to the similarity, and can take various factors into consideration in the process of clustering to make the clustering result more objective and finer, thereby being helpful for controlling the range of each base station so as to inhibit the interference level in a system and improve the optimization effect; and the method and the device of the invention have the advantages of having no need of an electronic map in the process of clustering and optimization, reducing the optimization demand and avoiding the problem of bad real time performance and not fine enough expression of the electronic map.

Description

Implementation method and device that the base station is optimized
Technical field
The present invention relates to the communications field, relate in particular to implementation method and device that a kind of base station is optimized.
Background technology
Along with such as TD SDMA (Time Division-Synchronous Code DivisionMultipleAccess, abbreviate TD-SCDMA as) the continuous growth of the 3G commercial network of (hereafter is TD) and perfect, the steady-state growth of TD number of users, traffic carrying capacity promotes rapidly.At present, the data daily flow of TD business has been broken through 5TByte, can estimate with present development speed, and in several years of future, TD will become the new growth point of mobile service income.
The quick growth of number of users, traffic carrying capacity and increasingly serious competitive environment have proposed great challenge to the TD radio network optimization, in order to satisfy strict day by day demand, the TD service needed satisfy the user to speech quality, upload QoS requirements such as downloading rate, online delay, continuing property.
Because 3G (Third Generation) Moblie (abbreviating 3G as) system is the self-interference system,, need the interference level in effective control system in order to embody the advantage of 3G.Optimal way commonly used at present is the base station to be divided into a plurality of bunches or a plurality of be optimized, and then carries out the method for network-wide optimization, thereby can effectively improve wireless network performance.
But, currently used sub-clustering optimization method normally according to administrative region in the city or place etc. to carrying out sub-clustering in the base station, and can utilize type of ground objects to optimize the parameter setting of sub-district, identical type of ground objects is distinguished into one bunch for a short time, with of the default parameters setting of the best cell parameter of performance in this bunch as this bunch cell parameter, by the typical number word map, the type of ground objects number can be about tens, the city proper generally only is divided into dense urban, urban district and suburb three classes (except the lake and the woods).
But, when adopting this method, usually the numerical map that needs are very detailed and real-time is very strong is as support, yet the pace of change of geography information is very fast, therefore, this cluster-dividing method lacks real-time strain property, covers, suppresses intrasystem interference level so be unfavorable for control, the factor that causes the optimization after the sub-clustering to be considered is very limited, has reduced the optimization effect.
Optimize the problem that real-time is poor, optimize weak effect at base station sub-clustering in the correlation technique, do not propose effective solution at present as yet.
Summary of the invention
Optimize the problem that real-time is poor, optimize weak effect at base station sub-clustering in the correlation technique, the present invention proposes the implementation that a kind of base station is optimized, and can effectively improve optimization effect, avoids optimizing the dependence to the high real-time electronic chart.
Technical scheme of the present invention is achieved in that
According to an aspect of the present invention, the implementation method that provides a kind of base station to optimize.
The implementation method of optimizing according to base station of the present invention comprises: carry out quantification treatment by the designated parameter to a plurality of base stations, determine a plurality of base stations similarity each other; According to the similarity of determining sub-clustering is carried out in a plurality of base stations, obtain one or more first bunch; Control and carry out performance optimization by the base station in one or more first bunch being carried out coverage.
Wherein, the designated parameter of a plurality of base stations is carried out quantification treatment and determine that a plurality of base stations similarity each other specifically comprises: determine a plurality of base stations similarity each other according to the difference between the designated parameter of a plurality of base stations.
Particularly, can determine a plurality of base stations similarity each other according to following formula:
d(i，j)＝(w 1|x i1-x j1| q+w 2|x i2-x j2| q+…+w p|x ip-x jp| q) 1/q，
Wherein, d (i, the j) similarity between i base station and j the base station in a plurality of base stations of expression, x I1..., x IpThe 1st to p designated parameter representing i base station in a plurality of base stations; x J1..., x JpThe 1st to p designated parameter representing j base station in a plurality of base stations, w 1..., w pBe the weights of difference between the 1st to p the designated parameter of i base station and j base station, q is predetermined integer, and the q integral number power that equals 2.
And, according to the similarity of determining sub-clustering being carried out in a plurality of base stations comprises: obtain multiple mode that a plurality of base stations are divided according to similarity, from a plurality of base stations, select one or more respectively as bunch central point under the multiple mode, and, utilize the square error criterion from multiple mode, to select a plurality of first bunch mode that obtains is divided in a plurality of base stations according to following formula:
E = Σ i = 1 K Σ p ∈ C i | p - m i | 2 ,
Wherein, m iBe the parameter as the base station of bunch central point, p represents the parameter of other base stations except bunch central point under previous mode, and E represents square error summation, C iThe correlation of expression other base stations in following bunch of central point of previous mode and a plurality of base station, the base station number of K for from a plurality of base stations, selecting.
This method can further comprise: road survey is carried out in a plurality of base stations, and according to the switching chain that road survey obtains sub-clustering is carried out in a plurality of base stations, obtain one or more second bunch.
Wherein, the base station is optimized specifically comprises:, on the basis of carrying out coverage control, further carry out handoff parameter optimization for both belonging to first bunch of base station that also belongs to second bunch.
Preferably, the mode of coverage control comprises: at least a mode in the beamwidth of reselecting antenna, the engineering parameter of adjusting antenna-feedback system and the adjustment base station transmitting power.
Preferably, the mode of handoff parameter optimization comprises: optimize each overlapping area of coverage that switches base station on chain, adjust handoff threshold and hysteresis, adjustment and measure and start thresholding and adjust at least a mode of radio link parameter in being provided with.
Preferably, above-mentioned designated parameter comprises at least a in longitude, latitude, data traffic, base station height, base station power, network key performance indication index, traffic carrying capacity, the business model.
According to a further aspect in the invention, the implement device that provides a kind of base station to optimize.
The implement device of optimizing according to the base station of present embodiment comprises: determination module, carry out quantification treatment by designated parameter to a plurality of base stations, and determine a plurality of base stations similarity each other; The sub-clustering module is used for according to the similarity of determining sub-clustering being carried out in a plurality of base stations, obtains one or more first bunch; Optimal module is used for controlling and carrying out performance optimization by one or more first bunch base stations being carried out coverage.
Wherein, determination module carries out quantification treatment by the difference between the designated parameter of determining a plurality of base stations to the designated parameter of a plurality of base stations.
And the sub-clustering module also is used for the switching chain that the road survey result according to a plurality of base stations determines, and according to switching chain sub-clustering is carried out in a plurality of base stations, obtains one or more second bunch.
Preferably, optimal module is used for further carrying out handoff parameter optimization for both belonging to first bunch of base station that also belongs to second bunch on the basis of carrying out coverage control.
The present invention is by handling the similarity that obtains between the base station to the parameter between the base station, according to this similarity sub-clustering is carried out in the base station, therefore in the process of sub-clustering, can consider various parameter factors, make the result of sub-clustering more objective, meticulous, suppress intrasystem interference level thereby help the covering of each base station controlled, improve optimization effect; And the process of sub-clustering and optimization does not need to rely on electronic chart, has reduced the demand of optimizing, and has avoided the problem that the electronic chart real-time is poor, expression is meticulous inadequately.
Description of drawings
Fig. 1 is the flow chart according to the implementation method of the base station optimization of the inventive method embodiment;
Fig. 2 is the flow chart of the detailed process process of step S102 in the method shown in Figure 1;
Fig. 3 is the principle schematic according to road survey in the implementation method of the base station optimization of the inventive method embodiment;
Fig. 4 is the detailed process flow chart according to the implementation method of the base station optimization of the inventive method embodiment.
Embodiment
Optimize the problem that real-time is poor, optimize weak effect at base station sub-clustering in the correlation technique, the present invention proposes, determine similarity between the base station according to the designated parameter of base station, and carry out sub-clustering based on the similarity of determining, and then the base station in optimizing bunch, thereby make optimizing process can consider the correlation between the base station, thereby the covering to each base station that helps is controlled and is suppressed such as the intrasystem interference level of the self-interference of TD-SCDMA system, the factor of having been considered when having enriched sub-clustering, improve the precision of sub-clustering, effectively improve optimization effect; And, can avoid adopting the electronic chart of high real-time, reduced the demand of optimizing.
Describe embodiments of the invention in detail below in conjunction with accompanying drawing.
Method embodiment
In the present embodiment, the implementation method that provides a kind of base station to optimize.
As shown in Figure 1, the implementation method of optimizing according to the base station of present embodiment comprises:
Step S102, carry out quantification treatment by designated parameter to a plurality of base stations, determine a plurality of base stations similarity each other, preferably, designated parameter can be at least a in longitude, latitude, data traffic, base station height, base station power, network key performance indication index, traffic carrying capacity, the business model, by this step, can access the similarity of quantification, make the base station between similarity judge and can consider multiple parameter, make that the similarity of determining is more objective;
Step S104 carries out sub-clustering according to the similarity of determining with a plurality of base stations, obtains one or more first bunch (also can be described as first set);
Step S106 controls and carries out performance optimization by the base station in one or more first bunch being carried out coverage.
By above-mentioned processing, can handle the similarity (this similarity can be concrete numerical value) that obtains between the base station to the parameter of base station, according to similarity sub-clustering is carried out in the base station, therefore in the process of sub-clustering, can consider various parameter factors, make that the result of sub-clustering is more objective, meticulous, avoided simply that the position is approaching in the correlation technique, professional similar base station directly is divided into one bunch and causes sub-clustering accurate inadequately, and then the problem of effect is optimized in influence, after carrying out sub-clustering based on similarity, suppress intrasystem interference level thereby can help the covering of each base station controlled, improve optimization effect; And the process of sub-clustering and optimization does not need to rely on electronic chart, has reduced the demand of optimizing, and has avoided the problem that the electronic chart real-time is poor, expression is meticulous inadequately.
In addition, this method can also comprise: road survey is carried out in a plurality of base stations, and sub-clustering is carried out in a plurality of base stations according to the switching chain that road survey obtains, and obtaining one or more second bunch, this sub-clustering operation is with to obtain one or more first bunch sub-clustering operations before separate.
After obtaining one or more first bunch and one or more second bunch, the operation that a plurality of base stations are optimized can specifically comprise: for both belonging to first bunch of base station that also belongs to second bunch, further carry out handoff parameter optimization on the basis of carrying out coverage control.
By above-mentioned processing, can carry out sub-clustering to the base station based on the drive test result of similarity between the base station and base station, and the bunch base station is optimized according to the place, base station, thereby make optimizing process can consider the correlation between the base station, thereby the covering to each base station that helps is controlled and is suppressed intrasystem interference level, and, because the drive test result has been considered in sub-clustering, therefore, when follow-up optimization, can help the user is carried out mobile management and handoff parameter setting, effectively improve optimization effect; And, because above-mentioned processing is based on relativeness between the base station and the switching chain on the road, therefore, do not need to rely on electronic chart, reduced the demand of optimizing, avoided the problem that the electronic chart real-time is poor, expression is meticulous inadequately; And above-mentioned processing procedure of the present invention can be applied to various self-interference system, and for example, the TD-SCDMA system in this self-interference system, disturbs mainly from the inside of system, by carrying out coverage control, just can effectively avoid self-interference.
When obtaining one or more first bunch, can based on base station correlation spatially utilize in the statistics K-Means sorting technique with the base station be divided into one or more first bunch (promptly, sub-clustering for the first time), in the present embodiment, by Euclidean distance between calculation base station (also can adopt bright Cowes cardinal distance from, this paper no longer enumerates), obtain the similarity (correlation) between the base station:
Particularly, can determine the similarity of per two base stations in a plurality of base stations according to following formula:
d(i，j)＝(w 1|x i1-x j1| q+w 2|x i2-x j2| q+…+w p|x ip-x jp| q) 1/q，
Wherein, d (i, the j) similarity between j base station, i base station and ground in a plurality of base stations of expression, x I1..., x IpThe the 1st to p designated parameter representing i base station in a plurality of base stations; x J1..., x JpThe the 1st to p designated parameter representing j base station in a plurality of base stations, w 1..., w pBe the weights of difference of the 1st to p property parameters of i base station and j base station, q is a predetermined integers, and the q integral number power that equals 2.
With the positional information is example, can pass through (x I1, y I1) expression base station i longitude and latitude, (x J1, y J1) expression base station j longitude and latitude, h I1Be the height of base station i, h J1For the height of base station j, suppose q=2, at this moment, can determine the similarity of base station i and j by following formula:
d ( i , j ) = w 1 | x i 1 - x j 1 | 2 + w 2 | y i 2 - y j 1 | 2 + w 3 | h i 1 - h j 1 | 2
Wherein, w 1=w 2The weighted value of expression longitude and latitude, w 3The weighted value of expression base station height, by one or more designated parameter of base station being calculated according to said method or similar mode, can reach the purpose of quantification, making the similarity that obtains is the result who quantizes, reflect the correlation between the base station more objectively, be convenient to follow-up clustering process.In above formula, because the geographic successional importance in base station is much larger than the base station height, the selection principle of weights can be w 1=w 2＞w 3Except longitude and latitude, can also determine similarity between the base station according to other parameters, this paper no longer one enumerates.
As shown in Figure 2, after obtaining base station Back ground Information (comprising above-mentioned designated parameter), can also select K base station at random, one bunch center is initially represented in each base station; Compose to nearest bunch according to the distance at each residue base station and each bunch center; Recomputate the center of each bunch then.This computational process can repeat, that is, carry out by the mode of iteration, satisfies the requirement of error criterion (criterion function convergence) up to the result who obtains.Here, can adopt the square error criterion, be defined as follows
E = Σ i = 1 K Σ p ∈ C i | p - m i | 2 ,
Wherein, m iBe the parameter as the base station of bunch central point, p represents the parameter of other base stations except bunch central point under previous mode, and E represents square error summation, C iThe correlation of expression other base stations in following bunch of central point of previous mode and a plurality of base station, the base station number of K for from a plurality of base stations, selecting.
By step S104, can adopt the K-Means cluster-dividing method on the statistics that correlation is divided into one bunch (set) in the base station of (similarity height) by force, thereby can be by the interference level in the covering control system in optimizing bunch, and then any wireless network services level in promoting bunch so that follow-up.
And, in the method, can also utilize the road that obtains in the drive test to switch chain (in the TD system, this switching chain can be called TD and switch chain) and carry out the sub-clustering second time (obtaining one or more second bunch), optimize the wireless network performance under the mobile environment.
Wherein, obtaining after first bunch and second bunch, at first the base station in first bunch and second bunch is optimized respectively, particularly, for the base station in first bunch, can control and be optimized by carrying out coverage, just can effectively avoid occurring area covered after the coverage of each sub-district controlling well, thereby suppress intrasystem interference, concrete optimal way can comprise the beamwidth of reselecting antenna, the engineering parameter of adjusting antenna-feedback system, adjustment base station transmitting power or its combination; For the base station in second bunch, can optimize handoff parameter according to the translational speed of user on every road, concrete mode comprises to be optimized the overlapping area of coverage that switches minizone on the chain, adjust handoff threshold and switches hysteresis etc., adjust the 2/3G handoff threshold, measures and start thresholding etc., adjust the radio link parameter setting; And above-mentioned optimizing process can repeat.
Afterwards, switch the hierarchical relational of chain sub-clustering based on similarity sub-clustering and road, can obtain first bunch with second bunch common factor, optimize wireless network by different level, promptly, can re-optimization base station range and control interference according to first bunch division result, and then utilize the road that obtains in the drive test to switch chain and will carry out the base station sub-clustering second time, optimize wireless network performance under the mobile environment.
When each base station is optimized, because area covered appears in correlation strong base station easily, so for the base station that only belongs to first bunch, control and be optimized by carrying out coverage, just can effectively avoid occurring area covered after the coverage of each sub-district controlling well, thereby suppress intrasystem interference, concrete optimal way can comprise the beamwidth of reselecting antenna, the engineering parameter of adjusting antenna-feedback system, adjustment base station transmitting power or its combination.
After the optimization of finishing strong bunch of spatial coherence, can obtain the switching chain of emphasis road by on-the-spot drive test, one bunch (that is, obtaining one or more second bunch) formed in the base station of the switching chain on every ordinary road.For the base station that only belongs to second bunch, can optimize handoff parameter according to the translational speed of user on every road, concrete mode comprises to be optimized the overlapping area of coverage that switches minizone on the chain, adjust handoff threshold and switches hysteresis etc., adjust the 2/3G handoff threshold, measures and start thresholding etc., adjust the radio link parameter setting; And above-mentioned optimizing process can repeat.
Idiographic flow can be with reference to 3, wherein, determining under one or more first bunch situations, when test terminal during along road driving, can obtain drive test data, switch chain comprising road, this switching chain has specifically described in the road base station bunch 1 (belonging to second bunch), road base station bunch 2 (belonging to second bunch), road base station bunch 3 (belonging to second bunch) ..., the order switched between the road base station bunch n (belonging to second bunch), the result is gathered the back just can determine second bunch with first bunch common factor, and then be optimized.
For both belonging to first bunch of base station that also belongs to second bunch, should consider two types bunch demand, be optimized by carrying out coverage control and handoff parameter optimization.For not taking into account the base station that the zone covered and switched the overlay region, can adjust antenna-feed parameter, the covering of base station transmitting power isopreference support area; Under the situation that situation allows, can also adopt newly-increased base station or newly add to mode remedy that to switch band not enough.
And, after each the measurement, KPI performance and the quality level (for example, judging whether cutting off rate, interference etc. reach requirement) that can observe the current measurement of webmaster statistical analysis, if measurement result can reach requirement, then processing finishes; If can not meet the demands, then need to be optimized space correlation bunch; So repeatedly, till performance meets the demands.
Although above division with first bunch of first execution, the back example that is divided into of carrying out second bunch are described, but, be to be understood that, these two partition process can be executed in parallel, are mutually independent, for example, as shown in Figure 4, Back ground Information (for example, such as the parameter information of positional information) according to the base station can utilize the K-Means sorting technique that the base station is divided into a plurality of bunches (first bunches), and what obtain here bunch can be based on the result that positional information obtains by spatial division; On the other hand, after carrying out road survey, can obtain switching chain, and then the base station is divided into one or more second bunch; Afterwards, divide the result according to two and obtain the hierarchical relational of the common factor of two kinds of dividing mode based on similarity sub-clustering and the sub-clustering of road switching chain, can optimize wireless network by different level such as the self-interference system of TD-SCDMA, can re-optimization base station range and control interference according to first bunch division result, afterwards, handoff parameter in adjusting under satisfying the prerequisite of area covered bunch (be used to represent that terminal is switched difficulty) and switching is with (being used to represent the switching position of terminal), optimize the wireless network performance under the mobile environment, if can not meet the demands, then need to optimize again.
By above-mentioned processing, can utilize in the statistics K-Means sorting technique that the sub-clustering first time is carried out in the base station based on the spatial coherence between the base station, the re-optimization base station range and control is disturbed; And then utilize the road that obtains in the drive test to switch chain and will carry out the base station sub-clustering second time, optimize the wireless network performance under the mobile environment; Wireless network is optimized on realization ground from the face to the line, from integral body to the emphasis; Make optimizing process can take into full account correlation on user's mobility and the space, base station, from the angle that suppresses intrasystem interference level and lifting business continuing sub-clustering is carried out in the base station, not only whole optimizing process is simple and easy to, and can effectively promote optimization effect.
Device embodiment
In the present embodiment, the implement device that provides a kind of base station to optimize.
The implement device of optimizing according to the base station of present embodiment comprises: determination module, carry out quantification treatment by designated parameter to a plurality of base stations, and determine a plurality of base stations similarity each other; The sub-clustering module is used for according to the similarity of determining sub-clustering being carried out in a plurality of base stations, obtains one or more first bunch; Optimal module is used for controlling and carrying out performance optimization by one or more first bunch base stations being carried out coverage.
Embodiment is similar with said method, the sub-clustering module can also be divided into one or more second bunch to a plurality of base stations according to a plurality of switching chains that road survey obtains, optimal module can be carried out coverage control to the base station in first bunch, and can carry out handoff parameter optimization to the base station in second bunch, for both belonging to first bunch of base station that also belongs to second bunch, then need to take into account coverage control and handoff parameter optimization, under situation about can not take into account, need at first guarantee finishing of coverage control.
Wherein, the sub-clustering module can be used for determining difference between the parameter according to following formula, carries out based on this difference designated parameter being quantized, thereby determines the similarity (quantized result) of per two base stations in a plurality of base stations:
d(i，j)＝(w 1|x i1-x j1| q+w 2|x i2-x j2| q+…+w p|x ip-x jp| q) 1/q，
Wherein, d (i, the j) similarity between j base station, i base station and ground in a plurality of base stations of expression, x I1..., x IpThe the 1st to p designated parameter representing i base station in a plurality of base stations; x J1..., x JpThe the 1st to p designated parameter representing j base station in a plurality of base stations, w 1..., w pBe the weights of difference of the 1st to p property parameters of i base station and j base station, q is a predetermined integers, and the q integral number power that equals 2.Preferably, designated parameter can be at least a in longitude, latitude, data traffic, base station height, base station power, network key performance indication index, traffic carrying capacity, the business model
And, the sub-clustering module also is used for obtaining multiple mode that a plurality of base stations are divided according to similarity, from a plurality of base stations, select part or all of base station respectively as bunch center under the multiple mode, and, utilize the square error criterion from multiple mode, to select one or more first bunch mode that obtains is divided in a plurality of base stations according to following formula:
E = Σ i = 1 K Σ p ∈ C i | p - m i | 2 ,
Wherein, m iBe the parameter as the base station of bunch central point, p represents the parameter of other base stations except bunch central point under previous mode, and E represents square error summation, C iThe correlation of expression other base stations in following bunch of central point of previous mode and a plurality of base station, the base station number of K for from a plurality of base stations, selecting.
And this device can be realized the processing described in the above method embodiment equally, describes before the detailed process, no longer repeats here.
By this device, can realize that wireless network is optimized on ground from the face to the line, from integral body to the emphasis, make optimizing process can take into full account correlation on user's mobility and the space, base station, from the angle that suppresses intrasystem interference level and lifting business continuing sub-clustering is carried out in the base station, effectively promote optimization effect.
In sum, by means of technique scheme of the present invention, by sub-clustering being carried out in the base station according to the similarity of base station and the drive test result of base station, and the bunch base station is optimized according to the place, base station, make optimizing process can consider the correlation between the base station, thereby the covering to each base station that helps is controlled and is suppressed intrasystem interference level, and, because the drive test result has been considered in sub-clustering, therefore, when follow-up optimization, can help the user is carried out mobile management and handoff parameter setting, effectively improve optimization effect; And, because above-mentioned processing is based on relativeness between the base station and the switching chain on the road, therefore, do not need to rely on electronic chart, reduced the demand of optimizing.
The above only is preferred embodiment of the present invention, and is in order to restriction the present invention, within the spirit and principles in the present invention not all, any modification of being done, is equal to replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (13)

1. the implementation method optimized of a base station is characterized in that described method comprises:
Carry out quantification treatment by designated parameter, determine described a plurality of base station similarity each other a plurality of base stations;
According to the described similarity of determining sub-clustering is carried out in described a plurality of base stations, obtain one or more first bunch;
Control and carry out performance optimization by the base station in described one or more first bunch being carried out coverage.
2. method according to claim 1 is characterized in that, the designated parameter of described a plurality of base stations is carried out quantification treatment determine that described a plurality of base station similarity each other specifically comprises:
Determine described a plurality of base station similarity each other according to the difference between the designated parameter of described a plurality of base stations.
3. method according to claim 1 is characterized in that, determines described a plurality of base station similarity each other according to following formula:
d(i，j)＝(w 1|x i1-x j1| q+w 2|x i2-x j2| q+…+w p|x ip-x jp| q) 1/q，
Wherein, d (i, the j) similarity between i base station and j the base station in the described a plurality of base stations of expression, x I1..., x IpThe 1st to p designated parameter representing i base station in described a plurality of base station; x J1..., x JpThe 1st to p designated parameter representing j base station in described a plurality of base station, w 1..., w pBe the weights of difference between the 1st to p the designated parameter of i base station and j base station, q is predetermined integer, and the q integral number power that equals 2.
4. method according to claim 1 is characterized in that, according to the described similarity of determining sub-clustering is carried out in described a plurality of base stations and comprises:
Obtain multiple mode that described a plurality of base stations are divided according to described similarity, from described a plurality of base stations, select one or more respectively as bunch central point under the described multiple mode, and, utilize the square error criterion from described multiple mode, to select the described a plurality of first bunch mode that obtains is divided in described a plurality of base stations according to following formula:
E = Σ i = 1 K Σ p ∈ C i | p - m i | 2 ,
Wherein, m iBe the parameter as the base station of bunch central point, p represents the parameter of other base stations except bunch central point under previous mode, and E represents square error summation, C iThe correlation of expression other base stations in described bunch of central point and described a plurality of base station under the previous mode, the base station number of K for from described a plurality of base stations, selecting.
5. according to each described method in the claim 1 to 4, it is characterized in that, further comprise:
Road survey is carried out in described a plurality of base stations, and sub-clustering is carried out in described a plurality of base stations, obtain one or more second bunch according to the switching chain that road survey obtains.
6. method according to claim 5 is characterized in that, described base station is optimized specifically comprise:
For both belonging to first bunch of base station that also belongs to second bunch, on the basis of carrying out coverage control, further carry out handoff parameter optimization.
7. method according to claim 5 is characterized in that, the mode of coverage control comprises:
At least a mode in the beamwidth of reselecting antenna, the engineering parameter of adjusting antenna-feedback system and the adjustment base station transmitting power.
8. method according to claim 5, it is characterized in that the mode of handoff parameter optimization comprises: optimize each overlapping area of coverage that switches base station on chain, adjust handoff threshold and hysteresis, adjustment and measure and start thresholding and adjust at least a mode of radio link parameter in being provided with.
9. according to each described method in the claim 1 to 4, it is characterized in that described designated parameter comprises at least a in longitude, latitude, data traffic, base station height, base station power, network key performance indication index, traffic carrying capacity, the business model.
10. the implement device optimized of a base station is characterized in that described device comprises:
Determination module carries out quantification treatment by the designated parameter to a plurality of base stations, determines described a plurality of base station similarity each other;
The sub-clustering module is used for according to the described similarity of determining sub-clustering being carried out in described a plurality of base stations, obtains one or more first bunch;
Optimal module is used for controlling and carrying out performance optimization by described one or more first bunch base station being carried out coverage.
11. device according to claim 10 is characterized in that, described determination module carries out quantification treatment by the difference between the designated parameter of determining described a plurality of base stations to the designated parameter of described a plurality of base stations.
12. device according to claim 10, it is characterized in that, described sub-clustering module also is used for the switching chain that the road survey result according to described a plurality of base stations determines, and according to described switching chain sub-clustering is carried out in described a plurality of base stations, obtains one or more second bunch.
13. device according to claim 12 is characterized in that, described optimal module is used for further carrying out handoff parameter optimization for both belonging to first bunch of base station that also belongs to second bunch on the basis of carrying out coverage control.
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Application publication date: 20110525