CN105323795A - Method and system for dynamically optimizing and configuring base station power based on user position - Google Patents
Method and system for dynamically optimizing and configuring base station power based on user position Download PDFInfo
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Abstract
The invention provides a method and a system for dynamically optimizing and configuring base station power based on a user position. The method for dynamically optimizing and configuring the base station power based on the user position comprises the following steps: periodically obtaining path loss information of each mobile terminal user in an area with power to be adjusted; carrying out clustering algorithm statistic analysis on the path loss information of the mobile terminal users obtained within a first preset time period to obtain the path loss information of the mobile terminal user representing cell path loss features, namely the path loss information of a logic point representing the cell path loss features, in the area with power to be adjusted; and analyzing and processing the path loss information of the logic point by use of a convex optimization algorithm to obtain an optimally configured base station power value. The method and the system provided by the invention can be used for dynamically adjusting the base station power in real time to solve the problem that the performance of an edge user and the performance of a central user cannot be considered at the same time, and can be used for effectively improving the throughput and the edge spectral efficiency of the network to make full use of limited resources and effectively improve the power efficiency.
Description
Technical field
The invention belongs to mobile communication technology field, relate to a kind of collocation method of base station power, particularly relate to a kind of method and system based on customer location dynamic optimization configurating base station power.
Background technology
Network data service exponentially increases in recent years, the demand of class of business and bandwidth constantly increases, and the spectrum efficiency of Cellular Networks point-to-point link has reached theoretical upper limit, the contradiction of huge business demand and frequency spectrum resource anxiety, in order to more effectively utilize limited frequency spectrum resource, improve network capacity, simultaneously in order to carry out hot zones covering, propose nodes such as disposing lower powered micro-base station, Home eNodeB, relay base station in a network, collaborative networking is deposited with macro base station, form Hierarchical Network, as shown in Figure 1.Wherein, Home eNodeB (HeNB) is also referred to as millimicro base station (FemtoeNB), it is divided into two kinds, a kind of is the Home eNodeB (ClosedHeNB) of closing, and namely only has the customer group of closedown (CSG-ClosedSubscriberGroup) just can be linked into this base station; Another kind is open Home eNodeB (OpenHeNB), does not namely limit the base station of user's access.Hierarchical Network can cover the covering leak of legacy network, greatly improves the performance of the capacity of system, throughput and user, is solve the effective networking mode of business demand problem growing in future communications network.
The introducing of a large amount of little base station in Hierarchical Network, has broken the ownership principle of user in monolayer honeycomb net, and the interference scene that result in Hierarchical Network is completely different from the interference scene of original monolayer honeycomb net.The interference of Hierarchical Network not only exists between macro base station, also all there is interference between macro base station and little base station and between little base station.The dense deployment of the multiple network node of Hierarchical Network and the co-interfere circumstance complication of the composition that coexists; Meanwhile, network node number increases severely, and numerous nodes uses identical running time-frequency resource and power resource, and the presence of intercell interference that channeling causes edge customer and central user are occurred huge performance difference, cannot ensure the consistency of Consumer's Experience; In order to promote network capacity performance, limited resource being fully used, needing to propose effective network optimization scheme and interference management scheme, reduce the interference level of network, promote network spectrum efficiency and power efficiency, network is optimized.
Avoid interference mainly through the coordination of running time-frequency resource in current real network, and mainly concentrate in the research of uplink power control for the interference management scheme of power control, and for descending power control algorithm or regulate granularity very large, effectively can not distribute power resource according to demand in time, or according to the scheduling of running time-frequency resource, power is regulated in good time, mutual amount of information is too large, and load increase too much causes network performance to decline.
Summary of the invention
The shortcoming of prior art in view of the above, the object of the present invention is to provide a kind of method and system based on customer location dynamic optimization configurating base station power, disturb comparatively by force for solving in existing mobile communication identical networking, resource utilization is low, the problem of network performance difference.
For achieving the above object and other relevant objects, the invention provides a kind of method based on customer location dynamic optimization configurating base station power, the described method based on customer location dynamic optimization configurating base station power comprises: the path loss information of each mobile phone users in the region of timing acquisition power to be adjusted; Clustering algorithm statistical analysis is carried out to the path loss information of the mobile subscriber terminal obtained in the first preset time period, obtain the path loss information of the mobile phone users characterizing community path loss feature in the region of described power to be adjusted, namely characterize the path loss information of the logical point of community path loss feature; Utilize the path loss information of convex optimized algorithm to described logical point to carry out analyzing and processing, obtain the base station power value of distributing rationally.
Alternatively, the concrete acquisition process of the one of described logical point comprises: described first preset time period is divided into several sub-time periods; Within each sub-time period, the path loss information of each mobile phone users in the region of the power to be adjusted obtained is set to a user class; Judge whether to exist in all user class two user class that distance is less than or equal to first threshold; If exist, two user class distance being less than or equal to first threshold merge into a new user class, and the sum of user class reduces 1 simultaneously, then returns determining step; If do not exist, namely in all user class the distance of any two user class be all greater than described first threshold or user class add up to 1 time, then stop judging, remaining user class is the path loss information characterizing the mobile phone users of community path loss feature within each corresponding sub-time period, within each corresponding sub-time period, namely characterize the path loss information of the logical point of community path loss feature; Cluster is again carried out to the path loss information of all logical point in described first preset time period obtained, obtains the path loss information of the logical point characterizing community path loss feature in described first preset time period.
Alternatively, the concrete acquisition process of one of described logical point also comprises: obtain in each sub-time period, the movement locus of each mobile phone users in the region of power to be adjusted; Choose the user class of path loss information as cluster computing of the more weak mobile phone users of relative mobility.
Alternatively, the described path loss information of convex optimized algorithm to described logical point that utilizes is analyzed, a kind of specific implementation process forming the base station power value of distributing rationally comprises: with the path loss information of described logical point for definite value, be variable with base station transmitting power, set up the optimization object function using aggregate network throughput as optimization aim; Convex optimized algorithm is utilized to carry out the convex conversion of continuous approximation to described optimization object function; Utilize method of Lagrange multipliers to process the target function after described conversion, obtain the optimal solution of the target function under the constraints that base station power is limited, and each base station of corresponding acquisition needs the performance number of distributing rationally under described optimal solution.
Alternatively, the described method based on customer location dynamic optimization configurating base station power also comprises: monitor network, collects the metrical information that mobile phone users reports; The signal strength signal intensity of network Zhong Ge community is obtained by described metrical information; Judge whether the statistical nature of described metrical information in the second preset time period keeps stable, if then without the need to regulation base station power; Then described dynamic optimization configuration is carried out to base station power if not.
Alternatively, the described method based on customer location dynamic optimization configurating base station power also comprises: described base station power value of distributing rationally is issued to respective base station, performs power adjustment by base station.
Alternatively, the described method based on customer location dynamic optimization configurating base station power is realized by network management system or SON system.
A kind of system based on customer location dynamic optimization configurating base station power, it is characterized in that, the described system based on customer location dynamic optimization configurating base station power comprises a processing module, described processing module comprises: path loss information acquisition unit, the path loss information of each mobile phone users in the region of timing acquisition power to be adjusted; Cluster analysis unit, be connected with described path loss information acquisition unit, clustering algorithm statistical analysis is carried out to the path loss information of the mobile subscriber terminal obtained in the first preset time period, obtain the path loss information of the mobile phone users characterizing community path loss feature in the region of described power to be adjusted, namely characterize the path loss information of the logical point of community path loss feature; Convex Optimization analyses unit, is connected with described cluster analysis unit, utilizes the path loss information of convex optimized algorithm to described logical point to carry out analyzing and processing, obtains the base station power value of distributing rationally; Power configuration unit, is connected with described convex Optimization analyses unit, and described base station power value of distributing rationally is issued to respective base station, performs power adjustment by base station.
Alternatively, described cluster analysis unit comprises: segmentation subelement, arranges subelement, and track obtains subelement, screening subelement, and judgment sub-unit, performs subelement certainly, and negative performs subelement, agglomerative clustering subelement; Described first preset time period is divided into several sub-time periods by described segmentation subelement; The described subelement that arranges is connected with described segmentation subelement, within each sub-time period, the path loss information of each mobile phone users in the region of the power to be adjusted obtained is set to a user class; Described track obtains subelement and obtains in each sub-time period, the movement locus of each mobile phone users in the region of power to be adjusted; Described screening subelement and described track obtain subelement and are connected with the described subelement that arranges, and choose the user class of path loss information as cluster computing of the more weak mobile phone users of relative mobility; Described judgment sub-unit arranges subelement with described or described screening subelement is connected, and judges whether to exist in all user class two user class that distance is less than first threshold; The described subelement that certainly performs is connected with described judgment sub-unit, if exist, two user class distance being less than or equal to first threshold merge into a new user class, and the sum of user class reduces 1 simultaneously, returns judgment sub-unit; Described negative performs subelement and is connected with described judgment sub-unit, if do not exist, namely in all user class the distance of any two user class be all greater than described first threshold or user class add up to 1 time, then stop judging, remaining user class is the path loss information of the mobile phone users characterizing community path loss feature in described first preset time period, namely characterizes the path loss information of the logical point of community path loss feature; Described agglomerative clustering subelement is negated perform subelement to be connected with described, cluster is again carried out to the path loss information of all logical point in described first preset time period obtained, obtains the path loss information of the logical point characterizing community path loss feature in described first preset time period; Described convex Optimization analyses unit comprises: target function sets up subelement, convex varitron unit, and power obtains subelement; Described target function sets up subelement with the path loss information of described logical point for definite value, is variable with base station transmitting power, sets up the optimization object function using aggregate network throughput as optimization aim; Described convex varitron unit is set up subelement with described target function and is connected, and utilizes convex optimized algorithm to carry out the convex conversion of continuous approximation to described optimization object function; Described power obtains subelement and is connected with described convex varitron unit, method of Lagrange multipliers is utilized to process the target function after described conversion, obtain the optimal solution of the target function under the constraints that base station power is limited, and each base station of corresponding acquisition needs the performance number of distributing rationally under described optimal solution.
Alternatively, described processing module also comprises a power optimization anticipation unit be connected with described path loss information acquisition unit, and described power optimization anticipation unit comprises: monitoring subelement, monitors, collect the metrical information that mobile phone users reports to network; Analyze subelement, be connected with described monitoring subelement, obtained the signal strength signal intensity of network Zhong Ge community by described metrical information; Anticipation subelement, is connected with described analysis subelement, judges whether the statistical nature of described metrical information in the second preset time period keeps stable, if then without the need to regulation base station power; Then described dynamic optimization configuration is carried out to base station power if not.
As mentioned above, the method and system based on customer location dynamic optimization configurating base station power of the present invention, have following beneficial effect:
The present invention can implement real-time dynamic conditioning to base station power, the problem that the performance solving edge customer and central user cannot be taken into account, effectively can promote throughput and the edge spectrum efficiency of network, limited resource is fully used, and effective bring to power efficiency.
Accompanying drawing explanation
Fig. 1 is the networking structure schematic diagram of hierarchical network.
Fig. 2 is the schematic flow sheet of the method based on customer location dynamic optimization configurating base station power described in the embodiment of the present invention one.
Fig. 3 is the schematic flow sheet of a kind of concrete class statistic analytical method described in the embodiment of the present invention one.
Fig. 4 is the schematic flow sheet of a kind of convex optimization method specifically described in the embodiment of the present invention one.
Fig. 5 is the schematic flow sheet of a kind of concrete power regulation pre-judging method described in the embodiment of the present invention one.
Fig. 6 is the structural schematic block diagram of the system based on customer location dynamic optimization configurating base station power described in the embodiment of the present invention two.
Fig. 7 is the structural schematic block diagram of the power optimization anticipation unit described in the embodiment of the present invention two.
Fig. 8 is the structural schematic block diagram of the cluster analysis unit described in the embodiment of the present invention two.
Fig. 9 is the structural schematic block diagram of the convex Optimization analyses unit described in the embodiment of the present invention two.
Figure 10 is the structural schematic block diagram of the systematic difference scene based on customer location dynamic optimization configurating base station power described in the embodiment of the present invention two.
Element numbers explanation
600 processing modules
610 power optimization anticipation unit
611 monitoring subelements
612 analyze subelement
613 anticipation subelements
620 path loss information acquisition unit
630 cluster analysis unit
631 segmentation subelements
632 arrange subelement
633 tracks obtain subelement
634 screening subelements
635 judgment sub-unit
636 perform subelement certainly
637 negatives perform subelement
638 agglomerative clustering subelements
640 convex Optimization analyses unit
641 target functions set up subelement
642 convex varitron unit
643 power obtain subelement
650 power configuration unit
101 network management system
102 terminals
103 locating platforms
104 base stations
S201 ~ S205 step
S301～S307
S401～S403
S501～S505
Embodiment
Below by way of specific instantiation, embodiments of the present invention are described, those skilled in the art the content disclosed by this specification can understand other advantages of the present invention and effect easily.The present invention can also be implemented or be applied by embodiments different in addition, and the every details in this specification also can based on different viewpoints and application, carries out various modification or change not deviating under spirit of the present invention.
Refer to accompanying drawing.It should be noted that, the diagram provided in the present embodiment only illustrates basic conception of the present invention in a schematic way, then only the assembly relevant with the present invention is shown in graphic but not component count, shape and size when implementing according to reality is drawn, it is actual when implementing, and the kenel of each assembly, quantity and ratio can be a kind of change arbitrarily, and its assembly layout kenel also may be more complicated.
The invention belongs to forth generation mobile communication network technology field.The present invention is directed to the mobile communications network of identical networking, by adjustment base station power, thus reduce co-channel interference, promoting network performance, is a kind of method realizing dynamic optimization configurating base station power based on the terminal metrical information relevant to customer location.
Below in conjunction with embodiment and accompanying drawing, the present invention is described in detail.
Embodiment one
The present embodiment provides a kind of method based on customer location dynamic optimization configurating base station power, and as shown in Figure 2, the described method based on customer location dynamic optimization configurating base station power comprises:
S201, the path loss information of each mobile phone users in the region of timing acquisition power to be adjusted.Wherein, the path loss information of described each mobile phone users (be called for short user) be measure according to this user this community RSRP (ReferenceSignalReceivingPower, Reference Signal Received Power) information, neighbor cell RSRP information and neighbor cell each community of calculating of transmitting power to the path loss information of this user.Namely the path loss information of each user is a vector, and it comprises this community to the path loss component of this user and periphery neighbor cell to the path loss component of this user.
Under normal circumstances, this community RSRP information of a user and neighbor cell RSRP information can be obtained by this user's measurement, and also can be obtained by other modes, protection scope of the present invention is not limited to the acquisition pattern of RSRP information.The transmitting power of neighbor cell is that this cell base station is known, because in the mobile communication network, utilizes the down transmitting power of the mutual base station separately of X2 interface, upgrade once base station power has between adjacent base station, trigger base station this power information mutual.The path loss information of each mobile phone users can be that then base station calculating acquisition reports network management system (as webmaster, SON system etc.); also can be calculated by network management system and obtain, protection scope of the present invention is not limited to the account form of the path loss information of each mobile phone users and calculates main body.
S202, utilizes clustering algorithm statistical to separate out in the first preset time period, characterizes the path loss information of the mobile phone users of community path loss feature in the region of described power to be adjusted, namely characterize the path loss information of the logical point of community path loss feature.Namely in the first preset time period, utilize the path loss information of clustering algorithm to all mobile phone users in the region of described power to be adjusted to carry out statistical analysis, from the path loss information of all mobile phone users, choose the path loss information determining the mobile phone users that can characterize community path loss feature.Described logical point is the mobile phone users that can characterize community path loss feature.
Further, the cluster mode of described clustering algorithm can have multiple, and the present embodiment enumerates a kind of concrete class statistic analysis mode, but protection scope of the present invention is not limited to the class statistic mode that the present embodiment is enumerated.As shown in Figure 3, a kind of concrete class statistic analytical method that the present embodiment is enumerated comprises:
S301, is divided into several sub-time periods by described first preset time period.Such as: set the first preset time period as Tt, splitting this time period is L sub-time period Ts, i.e. L=Tt/Ts.
S302, within each sub-time period, is set to a user class by the path loss information of each mobile phone users (being called for short user) in the region of the power to be adjusted obtained.Within a sub-time period, even obtain the path loss information of m user, be then provided with m user class.Such as: suppose the path loss information obtaining m user in a sub-time period Ts, then obtain the path loss message sample having m user, namely obtain m user class U-PL={upl
1, upl
2..., upl
m.Because the path loss information of each user comprises this community to the path loss component of this user and periphery neighbor cell to the path loss component of this user, so the path loss information of i-th user is upl
i=[pl
i, 1, pl
i, 2..., pl
i,n], 1≤i≤m, n represents the sum of this community described and neighbor cell, n be more than or equal to 1 positive integer.
S303, obtain in each sub-time period, the movement locus of each mobile phone users in the region of power to be adjusted, chooses the user class of path loss information as follow-up cluster computing of the mobile phone users of movement locus comparatively stable (namely relative mobility is more weak).Described movement locus can by obtaining to locating platform inquiry.Such as: utilize IMSI as inquiry request, to the movement locus of user in the locating platform inquiry Ts time period.User IMSI, time, positional information (longitude and latitude etc.) etc. can feed back with the form of list by locating platform.Locating platform can possess existing multiple location technology, as GPS location, WiFi indoor positioning etc.
S304, judges whether to exist in all user class within each Ts time period two user class that distance is less than or equal to first threshold.Such as: two user class upl
rand upl
kbetween distance can according to distance (upl
r, upl
k)=min||upl
r-upl
k|| obtain, also can obtain according to other similar compute modes.Protection scope of the present invention is not limited to the account form of this distance.The distance of user class represents the difference of two user class interference characteristics, and distance is larger, then the interference characteristic difference of user class is larger, otherwise interference characteristic difference is less.Described first threshold is user class distance threshold Dc.For the setting of Dc, if setting is comparatively large, then in user class, the interference level of user differs greatly, and the user class number in community is less; If what arrange is less, then in user class, the interference level difference of user is less, and the user class number in community is more.
S305, if exist, two user class distance being less than or equal to first threshold merge into a new user class, and the sum of user class reduces 1 simultaneously, then returns step S304.The distance of the present invention to user class judges, then carries out user clustering, and exactly in order to user close for interference characteristic be flocked together, the user class being no more than Dc by interference characteristic difference flocks together.
S306, if do not exist, namely in all user class the distance of any two user class be all greater than described first threshold or user class add up to 1 time, then stop judging, remaining user class is the path loss information characterizing the mobile phone users of community path loss feature in each corresponding sub-time period Ts, in each corresponding sub-time period Ts, namely characterize the path loss information of the logical point of community path loss feature.
S307, combines the path loss information of all logical point just constituted in described first preset time period by the path loss information characterizing the logical point of community path loss feature in each the sub-time period Ts obtained from step S302 to S306; Cluster is again carried out to the path loss information of all logical point in described first preset time period obtained, cluster principle, with the acquisition principle of logical point in the sub-time period, just can obtain the path loss information of the logical point characterizing community path loss feature in described first preset time period.The process of described cluster again can be: the path loss information of each logical point is set to a logical point class; Judge whether to exist in all logical point classes two logical point classes that distance is less than or equal to Second Threshold, if exist, two logical point classes distance being less than or equal to Second Threshold merge into a new logic point class, and the sum of logical point class reduces 1 simultaneously; If do not exist, namely in all logical point classes the distance of any two logical point classes be all greater than described Second Threshold or logical point class add up to 1 time, then stop judging, remaining logical point class is the path loss information of the logical point characterizing community path loss feature in described first preset time period.In view of user is mobile, so the information gathering of (namely the short time is interior) and cluster in the Ts time period each time, it is exactly the cluster according to customer location in the short time, and it is generally acknowledged that user is substantially motionless in this Ts time period, so the cluster in the Ts time period is equivalent to the cluster to customer location.But within the Tt time period, (namely long-time in) user can move to different positions, so do cluster again to all positions in the Tt time, this is equivalent to the cluster of the customer location to different time.
S203, utilizes the path loss information of convex optimized algorithm to described logical point to carry out analyzing and processing, obtains the base station power value of distributing rationally.
Further, the specific implementation of described convex optimized algorithm can have multiple, and the present embodiment enumerates a kind of convex optimization compute mode specifically, but protection scope of the present invention is not limited to the convex optimization compute mode that the present embodiment is enumerated.As shown in Figure 4, a kind of convex optimization method specifically that the present embodiment is enumerated comprises:
S401, with the path loss information of described logical point for definite value, be variable with base station transmitting power, set up the optimization object function using aggregate network throughput as optimization aim, this optimization object function is:
Wherein,
P
irepresent the transmitting power of i-th base station, P
minrepresent the minimum emissive power of base station, P
maxrepresent the maximum transmission power of base station, network is total N number of base station always, has M user, PL under each base station
i,krepresent the path loss of user k under i-th base station to this base station (i.e. i-th base station self), PL
j,krepresent the path loss of all the other adjacent base stations to the user k belonged under the i of base station,
represent thermal noise.
Obtaining to make optimization object function and maximize, needing by regulating base station power P
iobtain, concrete regulative mode is as shown in step S402 to step S403.
S402, utilizes convex optimized algorithm to carry out the convex conversion of continuous approximation to described optimization object function, such as ln (1+SINR
i,k)>=α
i,kln (SINR
i,k)+β
i,k(Convex Functions), wherein,
β
i,k=ln (1+SINR
i,k)-α
i,kln (SINR
i,k), the target function obtained after conversion is:
Wherein,
S403, method of Lagrange multipliers is utilized to process the target function after described conversion, obtain the optimal solution of the target function under the constraints that base station power is limited, and each base station of corresponding acquisition needs the performance number (performance number after namely optimizing) of distributing rationally under described optimal solution.
S204, is issued to each base station corresponding in the region of described power to be adjusted by described performance number of distributing rationally, perform power adjustment by each base station.Now, the performance number after each base station meeting interactive refreshing.
S205, continues to monitor network, and the signal strength signal intensity being obtained network Zhong Ge community by the metrical information of user determines whether that continuation performs the power regulation of base station; If the statistical nature of the metrical information of user keeps stable in long duration section, then the power regulation of base station is without the need to variation.The specific implementation process of this step can have multiple, and protection scope of the present invention is not limited to the implementation that the present embodiment is enumerated.The present embodiment enumerates a kind of concrete power regulation pre-judging method, as shown in Figure 5, comprising:
S501, monitors network, collects the metrical information that mobile phone users reports.Described metrical information comprises cell ID, signal strength signal intensity and quality etc. the information that terminal measures.
S502, obtains the signal strength signal intensity of network Zhong Ge community by described metrical information.
Does S503, judge that the statistical nature of described metrical information in the second preset time period keeps stable?
S504, if then without the need to regulation base station power.
S505, then carries out described dynamic optimization configuration to base station power if not.
The present invention by adding up a large amount of path loss information in long period section, then the path loss information for statistics carries out cluster, again in conjunction with existing location technology, coupling checks the logical point being chosen at and can characterizing whole community path loss feature in this period, the circuit loss value of logic-based point utilizes convex optimum theory to distribute base station power, network is optimized, makes network obtain maximum throughput, promote network edge spectrum efficiency and power efficiency.The present invention, by the power of statistical nature configurating base station, promotes network performance, can ensure the network performance in long period section, can be optimized network simply efficiently.
Protection scope of the present invention is not limited to the sequencing that in the present embodiment, step performs, and the sequence of steps that every principle according to the present invention realizes all is included in protection scope of the present invention.
Embodiment two
The present embodiment provides a kind of system based on customer location dynamic optimization configurating base station power, this system can realize the method based on customer location dynamic optimization configurating base station power described in embodiment one, but the implement device of the method based on customer location dynamic optimization configurating base station power described in embodiment one includes but not limited to the system based on customer location dynamic optimization configurating base station power described in the present embodiment.
As shown in Figure 6, the described system based on customer location dynamic optimization configurating base station power comprises a processing module 600, described processing module 600 comprises: power optimization anticipation unit 610, path loss information acquisition unit 620, cluster analysis unit 630, convex Optimization analyses unit 640, power configuration unit 650.Described processing module 600 can be a part for processor in network management system (as webmaster, SON system etc.) or the equipment with processing capacity.
Described power optimization anticipation unit 610 pairs of current networks carry out anticipation the need of the power of distributing each base station rationally.
Further, as shown in Figure 7, described power optimization anticipation unit 610 comprises: monitoring subelement 611, analyzes subelement 612, anticipation subelement 613.Described monitoring subelement 611 pairs of networks are monitored, and collect the metrical information that mobile phone users reports.Described analysis subelement 612 is connected with described monitoring subelement 611, is obtained the signal strength signal intensity of network Zhong Ge community by described metrical information.Described anticipation subelement 613 is connected with described analysis subelement 612, judges whether the statistical nature of described metrical information in the second preset time period keeps stable, if then without the need to regulation base station power; Then described dynamic optimization configuration is carried out to base station power if not.
Described path loss information acquisition unit 620 is connected with described power optimization anticipation unit 610, when needs carry out dynamic optimization configuration to base station power, and the path loss information of each mobile phone users in the region of timing acquisition power to be adjusted.
Described cluster analysis unit 630 is connected with described path loss information acquisition unit 620, clustering algorithm statistical analysis is carried out to the path loss information of the mobile subscriber terminal obtained in the first preset time period, obtain the path loss information of the mobile phone users characterizing community path loss feature in the region of described power to be adjusted, namely characterize the path loss information of the logical point of community path loss feature.
Further, as shown in Figure 8, described cluster analysis unit 630 comprises: segmentation subelement 631, arranges subelement 632; track obtains subelement 633, screening subelement 634, judgment sub-unit 635; certainly perform subelement 636, negative performs subelement 637, agglomerative clustering subelement 638.Described first preset time period is divided into several sub-time periods by described segmentation subelement 631.The described subelement 632 that arranges is connected with described segmentation subelement 631, within each sub-time period, the path loss information of each mobile phone users in the region of the power to be adjusted obtained is set to a user class.Described track obtains subelement 633 and obtains in each sub-time period, the movement locus of each mobile phone users in the region of power to be adjusted.Described screening subelement 634 and described track obtain subelement 633 and are connected with the described subelement 632 that arranges, and choose the user class of path loss information as cluster computing of the more weak mobile phone users of relative mobility.Described judgment sub-unit 635 arranges subelement 632 with described or described screening subelement 634 is connected, and judges whether to exist in all user class two user class that distance is less than first threshold.The described subelement 636 that certainly performs is connected with described judgment sub-unit 635, if exist, two user class distance being less than or equal to first threshold merge into a new user class, and the sum of user class reduces 1 simultaneously, returns judgment sub-unit.Described negative performs subelement 637 and is connected with described judgment sub-unit 635, if do not exist, namely in all user class the distance of any two user class be all greater than described first threshold or user class add up to 1 time, then stop judging, remaining user class is the path loss information of the mobile phone users characterizing community path loss feature in described first preset time period, namely characterizes the path loss information of the logical point of community path loss feature.Described agglomerative clustering subelement 638 is negated perform subelement 637 to be connected with described, cluster is again carried out to the path loss information of all logical point in described first preset time period obtained, obtains the path loss information of the logical point characterizing community path loss feature in described first preset time period.
Described convex Optimization analyses unit 640 is connected with described cluster analysis unit 630, utilizes the path loss information of convex optimized algorithm to described logical point to carry out analyzing and processing, obtains the base station power value of distributing rationally.
Further, as shown in Figure 9, described convex Optimization analyses unit 640 comprises: target function sets up subelement 641, convex varitron unit 642, and power obtains subelement 643.Described target function sets up subelement 641 with the path loss information of described logical point for definite value, is variable with base station transmitting power, sets up the optimization object function using aggregate network throughput as optimization aim.Described convex varitron unit 642 is set up subelement 641 with described target function and is connected, and utilizes convex optimized algorithm to carry out the convex conversion of continuous approximation to described optimization object function.Described power obtains subelement 643 and is connected with described convex varitron unit 642, method of Lagrange multipliers is utilized to process the target function after described conversion, obtain the optimal solution of the target function under the constraints that base station power is limited, and each base station of corresponding acquisition needs the performance number of distributing rationally under described optimal solution.
Described power configuration unit 650 is connected with described convex Optimization analyses unit 640, and described base station power value of distributing rationally is issued to respective base station, performs power adjustment by base station.
The present embodiment also provides a kind of systematic difference scene based on customer location dynamic optimization configurating base station power, as shown in Figure 10, network management system 101 performs described processing module 600; Processing module 600 receives the path loss information that great amount of terminals 102 reports; Processing module 600 is applied clustering algorithm and is carried out statistical analysis to the path loss information that great amount of terminals in the unit interval 102 reports, and forms the logical point of the community path loss feature characterized in region to be adjusted; Network management system 101 is docked with existing locating platform 103, processing module 600 knows the stability of sample data in cluster analysis by locating platform 103, and stable sample data is chosen, coupling checks the logical point being chosen at and can stablizing in the unit interval and characterize whole community path loss feature; Processing module 600 applies convex optimized algorithm, based on the logical point characterizing community path loss feature, calculates each base station power Configuration Values in region to be adjusted, is then handed down to respective base station 104.
The present invention adds up according to (terminal to report or other modes obtain) metrical information, obtain each user corresponding community path loss information in long period section, and carry out cluster, again in conjunction with existing location technology, coupling checks selected part metastable community path loss cluster value, and based on this stable path loss feature, base station power is configured, the problem that the performance solving edge customer and central user cannot be taken into account, effectively can promote throughput and the edge spectrum efficiency of network, limited resource is fully used, and effective bring to power efficiency.
The present invention does not need to change existing network management system group-network construction, can implement real-time dynamic conditioning to base station power.It is applicable to the mobile communications network of identical networking, directly can apply in the SON in future (self-organizednetwork, self-organizing network) system.
In sum, the present invention effectively overcomes various shortcoming of the prior art and tool high industrial utilization.
Above-described embodiment is illustrative principle of the present invention and effect thereof only, but not for limiting the present invention.Any person skilled in the art scholar all without prejudice under spirit of the present invention and category, can modify above-described embodiment or changes.Therefore, such as have in art usually know the knowledgeable do not depart from complete under disclosed spirit and technological thought all equivalence modify or change, must be contained by claim of the present invention.
Claims (10)
1. based on a method for customer location dynamic optimization configurating base station power, it is characterized in that, the described method based on customer location dynamic optimization configurating base station power comprises:
The path loss information of each mobile phone users in the region of timing acquisition power to be adjusted;
Clustering algorithm statistical analysis is carried out to the path loss information of the mobile subscriber terminal obtained in the first preset time period, obtain the path loss information of the mobile phone users characterizing community path loss feature in the region of described power to be adjusted, namely characterize the path loss information of the logical point of community path loss feature;
Utilize the path loss information of convex optimized algorithm to described logical point to carry out analyzing and processing, obtain the base station power value of distributing rationally.
2. the method based on customer location dynamic optimization configurating base station power according to claim 1, is characterized in that, the concrete acquisition process of one of described logical point comprises:
Described first preset time period is divided into several sub-time periods;
Within each sub-time period, the path loss information of each mobile phone users in the region of the power to be adjusted obtained is set to a user class;
Judge whether to exist in all user class two user class that distance is less than or equal to first threshold;
If exist, two user class distance being less than or equal to first threshold merge into a new user class, and the sum of user class reduces 1 simultaneously, then returns determining step;
If do not exist, namely in all user class the distance of any two user class be all greater than described first threshold or user class add up to 1 time, then stop judging, remaining user class is the path loss information characterizing the mobile phone users of community path loss feature within each corresponding sub-time period, within each corresponding sub-time period, namely characterize the path loss information of the logical point of community path loss feature;
Cluster is again carried out to the path loss information of all logical point in described first preset time period obtained, obtains the path loss information of the logical point characterizing community path loss feature in described first preset time period.
3. the method based on customer location dynamic optimization configurating base station power according to claim 2, is characterized in that, the concrete acquisition process of one of described logical point also comprises:
Obtain in each sub-time period, the movement locus of each mobile phone users in the region of power to be adjusted;
Choose the user class of path loss information as cluster computing of the more weak mobile phone users of relative mobility.
4. the method based on customer location dynamic optimization configurating base station power according to claim 1, it is characterized in that, the described path loss information of convex optimized algorithm to described logical point that utilizes is analyzed, and a kind of specific implementation process forming the base station power value of distributing rationally comprises:
With the path loss information of described logical point for definite value, be variable with base station transmitting power, set up the optimization object function using aggregate network throughput as optimization aim;
Convex optimized algorithm is utilized to carry out the convex conversion of continuous approximation to described optimization object function;
Utilize method of Lagrange multipliers to process the target function after described conversion, obtain the optimal solution of the target function under the constraints that base station power is limited, and each base station of corresponding acquisition needs the performance number of distributing rationally under described optimal solution.
5. the method based on customer location dynamic optimization configurating base station power according to claim 1, is characterized in that, the described method based on customer location dynamic optimization configurating base station power also comprises:
Network is monitored, collects the metrical information that mobile phone users reports;
The signal strength signal intensity of network Zhong Ge community is obtained by described metrical information;
Judge whether the statistical nature of described metrical information in the second preset time period keeps stable, if then without the need to regulation base station power; Then described dynamic optimization configuration is carried out to base station power if not.
6. the method based on customer location dynamic optimization configurating base station power according to claim 1, is characterized in that, the described method based on customer location dynamic optimization configurating base station power also comprises:
Described base station power value of distributing rationally is issued to respective base station, performs power adjustment by base station.
7. the method based on customer location dynamic optimization configurating base station power according to claim 1 to 6 any one, is characterized in that: the described method based on customer location dynamic optimization configurating base station power is realized by network management system or SON system.
8. based on a system for customer location dynamic optimization configurating base station power, it is characterized in that, the described system based on customer location dynamic optimization configurating base station power comprises a processing module, and described processing module comprises:
Path loss information acquisition unit, the path loss information of each mobile phone users in the region of timing acquisition power to be adjusted;
Cluster analysis unit, be connected with described path loss information acquisition unit, clustering algorithm statistical analysis is carried out to the path loss information of the mobile subscriber terminal obtained in the first preset time period, obtain the path loss information of the mobile phone users characterizing community path loss feature in the region of described power to be adjusted, namely characterize the path loss information of the logical point of community path loss feature;
Convex Optimization analyses unit, is connected with described cluster analysis unit, utilizes the path loss information of convex optimized algorithm to described logical point to carry out analyzing and processing, obtains the base station power value of distributing rationally;
Power configuration unit, is connected with described convex Optimization analyses unit, and described base station power value of distributing rationally is issued to respective base station, performs power adjustment by base station.
9. the system based on customer location dynamic optimization configurating base station power according to claim 8, is characterized in that:
Described cluster analysis unit comprises: segmentation subelement, arranges subelement, and track obtains subelement, screening subelement, and judgment sub-unit, performs subelement certainly, and negative performs subelement, agglomerative clustering subelement;
Described first preset time period is divided into several sub-time periods by described segmentation subelement;
The described subelement that arranges is connected with described segmentation subelement, within each sub-time period, the path loss information of each mobile phone users in the region of the power to be adjusted obtained is set to a user class;
Described track obtains subelement and obtains in each sub-time period, the movement locus of each mobile phone users in the region of power to be adjusted;
Described screening subelement and described track obtain subelement and are connected with the described subelement that arranges, and choose the user class of path loss information as cluster computing of the more weak mobile phone users of relative mobility;
Described judgment sub-unit arranges subelement with described or described screening subelement is connected, and judges whether to exist in all user class two user class that distance is less than first threshold;
The described subelement that certainly performs is connected with described judgment sub-unit, if exist, two user class distance being less than or equal to first threshold merge into a new user class, and the sum of user class reduces 1 simultaneously, returns judgment sub-unit;
Described negative performs subelement and is connected with described judgment sub-unit, if do not exist, namely in all user class the distance of any two user class be all greater than described first threshold or user class add up to 1 time, then stop judging, remaining user class is the path loss information of the mobile phone users characterizing community path loss feature in described first preset time period, namely characterizes the path loss information of the logical point of community path loss feature;
Described agglomerative clustering subelement is negated perform subelement to be connected with described, cluster is again carried out to the path loss information of all logical point in described first preset time period obtained, obtains the path loss information of the logical point characterizing community path loss feature in described first preset time period;
Described convex Optimization analyses unit comprises: target function sets up subelement, convex varitron unit, and power obtains subelement;
Described target function sets up subelement with the path loss information of described logical point for definite value, is variable with base station transmitting power, sets up the optimization object function using aggregate network throughput as optimization aim;
Described convex varitron unit is set up subelement with described target function and is connected, and utilizes convex optimized algorithm to carry out the convex conversion of continuous approximation to described optimization object function;
Described power obtains subelement and is connected with described convex varitron unit, method of Lagrange multipliers is utilized to process the target function after described conversion, obtain the optimal solution of the target function under the constraints that base station power is limited, and each base station of corresponding acquisition needs the performance number of distributing rationally under described optimal solution.
10. the system based on customer location dynamic optimization configurating base station power according to claim 8, it is characterized in that, described processing module also comprises a power optimization anticipation unit be connected with described path loss information acquisition unit, and described power optimization anticipation unit comprises:
Monitoring subelement, monitors network, collects the metrical information that mobile phone users reports;
Analyze subelement, be connected with described monitoring subelement, obtained the signal strength signal intensity of network Zhong Ge community by described metrical information;
Anticipation subelement, is connected with described analysis subelement, judges whether the statistical nature of described metrical information in the second preset time period keeps stable, if then without the need to regulation base station power; Then described dynamic optimization configuration is carried out to base station power if not.
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