CN103796226A - Network optimizing method and apparatus - Google Patents
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- CN103796226A CN103796226A CN201210426152.9A CN201210426152A CN103796226A CN 103796226 A CN103796226 A CN 103796226A CN 201210426152 A CN201210426152 A CN 201210426152A CN 103796226 A CN103796226 A CN 103796226A
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Abstract
The invention discloses a network optimizing method and apparatus used for resolving a problem of low quality, of service provided by a cell, caused by a poor network optimizing effect in the prior art. The method comprises: determining the number of strong correlation users corresponding to a cell according to the number of times and the time that each user uses the service in the cell; determining the optimization priority of the cell according to the number of the strong correlation users; distributing optimization resources according to the optimization priority of the cell; and performing network optimization on the cell according to the distributed optimization resources. When determined by using the method, the optimization priority of the cell is determined according to the number of the strong correlation users corresponding to the cell, wherein the number of the strong correlation users corresponding to the cell is firstly determined according to the number of times and the time that each user uses the service in the cell. Therefore, the optimization priority of the cell can be accurately determined such that the optimization resources can be subsequently and reasonably distributed. Thus, a network optimizing effect is further improved and the quality of the service provided by the cell is enhanced.
Description
Technical field
The present invention relates to the communications field, relate in particular to a kind of network optimized approach and device.
Background technology
At present, cordless communication network can, for user provides increasing business, in order to improve quality of service, will carry out the network optimization to cordless communication network for this business conventionally.
Because network optimization meeting is subject to the restriction such as the optimization such as frequency resource or overall cost resource, therefore, in the time that cordless communication network is carried out to the network optimization, need to determine the optimization priority of each community in cordless communication network, utilize limited optimization resource emphasis to which community to be optimized in order to determine.
In the prior art, determine that the method for the optimization priority of each community in cordless communication network is: for each community, according to the Key Performance Indicator of this community (Key Performance Indicator, KPI), determine the optimization priority of this community.Wherein, the KPI of this community is lower, and the optimization priority of Ze Gai community is higher, otherwise the KPI of this community is higher, and the optimization priority of Ze Gai community is lower.After determining the optimization priority of Liao Ge community, can be according to the optimization priority of each community, for each cell allocation is optimized resource, and the optimization resource Dui Ge community that is based upon each cell allocation carries out the network optimization, to utilize limited optimization resource preferentially to carry out the network optimization to optimizing priority compare Gao community.
But, in prior art, determine that according to the KPI of each community the optimization priority of each community is inaccurate, this is because for Yi Ge community, considering that this community whether should be by preferential while carrying out the network optimization, should mainly consider the factor such as traffic carrying capacity of the business that the user in number of users, this community in this community carries out.
For example,, for two KPI Dou Hendi communities, if the user in first community is more, traffic carrying capacity is also very large, and user in second community is less, traffic carrying capacity is also less, obviously should preferentially carry out the network optimization in first community more to user, that traffic carrying capacity is larger.
And according to method of the prior art, owing to determining the optimization priority of Liang Ge community according to the KPI of Zhe Liangge community, therefore the optimization priority of Zhe Liangge community probably equates, thereby, in the time that the network optimization is carried out in Dui Zheliangge community, not preferential carries out the network optimization to first community, also be, it is identical from limited optimization resource, optimizing resource for (the carrying out the network optimization for Dui Zheliangge community) of these two cell allocation, this will cause follow-up network optimization poor effect, can not effectively improve by the network optimization quality of service that community provides.
Summary of the invention
The embodiment of the present invention provides a kind of network optimized approach and device, in order to solve the poor effect of the network optimization in prior art, and the lower problem of quality of service that causes community to provide.
The embodiment of the present invention provides a kind of network optimized approach, comprising:
For Yi Ge community, determine that each user carries out the number of times of business and carries out the moment of business at every turn in described community;
In described community, carry out the number of times of business and carry out moment of business at every turn according to the each user who determines, determine strong correlation user corresponding to described community quantity;
According to strong correlation user corresponding to the described community of determining quantity, determine the optimization priority of described community;
According to the optimization priority of described community of determining, be that described cell allocation is optimized resource, and the optimization resource that is based upon described cell allocation is carried out the network optimization to described community.
The embodiment of the present invention provides a kind of network optimization device, comprising:
Business determination module, for for Yi Ge community, determines that each user carries out the number of times of business and carries out the moment of business at every turn in described community;
Strong correlation user determination module, the each user who determines for basis carries out the number of times of business and carries out the moment of business at every turn in described community, determines strong correlation user corresponding to described community quantity;
Optimize priority determination module, for according to strong correlation user corresponding to the described community of determining quantity, determine the optimization priority of described community;
Network optimization module, for according to the optimization priority of described community of determining, is that described cell allocation is optimized resource, and the optimization resource that is based upon described cell allocation is carried out the network optimization to described community.
The embodiment of the present invention provides a kind of network optimized approach and device, the method is for Yi Ge community, according to number of times and the moment of carrying out business in each user Gai community, determine strong correlation user corresponding to this community quantity, and determine the optimization priority of this community according to strong correlation user corresponding to this community quantity, finally optimize resource according to the optimization priority of this community for this cell allocation, the network optimization is carried out in the optimization resource Dui Gai community based on distributing.Due in the embodiment of the present invention in the time determining the optimization priority of community, the quantity of the number of times of the business of first carrying out according to the user in Gai community and moment determining strong correlation user corresponding to this community, again according to strong correlation user corresponding to this community quantity and definite, therefore can determine accurately the optimization priority of this community, can be reasonably for this cell allocation be optimized resource thereby follow-up, and then effectively improve the effect of the network optimization, improve the quality of the business that this community provides.
Accompanying drawing explanation
The network optimization process that Fig. 1 provides for the embodiment of the present invention;
The detailed process of the network optimization that Fig. 2 provides for the embodiment of the present invention;
The network optimization device structural representation that Fig. 3 provides for the embodiment of the present invention.
Embodiment
The embodiment of the present invention provides a kind of network optimized approach and device, the method is for Yi Ge community, according to number of times and the moment of carrying out business in each user Gai community, determine strong correlation user corresponding to this community quantity, and determine the optimization priority of this community according to strong correlation user corresponding to this community quantity, finally optimize resource according to the optimization priority of this community for this cell allocation, the network optimization is carried out in the optimization resource Dui Gai community based on distributing.Due in the embodiment of the present invention in the time determining the optimization priority of community, the quantity of the number of times of the business of first carrying out according to the user in Gai community and moment determining strong correlation user corresponding to this community, again according to strong correlation user corresponding to this community quantity and definite, therefore can determine accurately the optimization priority of this community, can be reasonably for this cell allocation be optimized resource thereby follow-up, and then effectively improve the effect of the network optimization, improve the quality of the business that this community provides.
Below in conjunction with Figure of description, the embodiment of the present invention is described in detail.
Fig. 1 is the network optimization process that the embodiment of the present invention provides, and specifically comprises the following steps:
S101: for Yi Ge community, determine in each user Gai community and carry out the number of times of business and carry out the moment of business at every turn.
In embodiments of the present invention, determine when carrying out the number of times of business and carry out the moment of business at every turn in each user Gai community, specifically can be according to the default time period, determine that each user carries out the number of times of business and carries out the moment of business at every turn within this default time period, in Qie Gai community.
For example, this default time period can be in the past n days, when carrying out the number of times of business and carry out the moment of business at every turn in definite each user Gai community, can determine each user n in the past days and in inherent this community, carry out the number of times of business, and in each user n in the past days, in each Gai community, carry out the moment of business.
Concrete, while carrying out the network optimization due to follow-up Dui Gai community, normally carry out the network optimization for a certain specific business Dui Gai community, therefore, when carrying out the number of times of business and carry out the moment of business at every turn in above-mentioned steps S101, specifically also can determine that each user carries out the number of times of this specific business and carries out the moment of this specific business at every turn within the default time period, in Qie Gai community in definite each user Gai community.Business described in subsequent step is all also these specific business.
S102: according to carry out the number of times of business in each user Gai community of determining and carry out moment of business at every turn, determine strong correlation user corresponding to this community quantity.
In embodiments of the present invention, if carry out frequently business in a user Gai community, this user is defined as to the strong correlation user of this community.Concrete, owing to having determined that by above-mentioned steps S101 each user is within the default time period, in Qie Gai community, carry out the number of times of business and carry out the moment of business at every turn, therefore, the method of determining strong correlation user corresponding to this community is specifically as follows: for each user, according to the each sub-time period that this default time period is divided, and this user carries out the moment of business in this default time period Nei Gai community at every turn, determine the quantity of the sub-time period that meets specified requirements, wherein, for a sub-time period, if the moment that this sub-time period comprises the business at least one times of carrying out in this user Gai community, this sub-time period is the sub-time period that meets specified requirements, if this user carries out in this default time period Nei Gai community that the number of times of business is greater than set point number and the quantity of sub-time period that meets specified requirements of determining for this user is greater than the first setting quantity, determine strong correlation user corresponding to this user Shi Gai community, according to definite Gai strong correlation user corresponding to community, determine strong correlation user corresponding to this community quantity.
Continue along using example, suppose that the default time period is n days in the past, the time period (n days in past) default to this is divided into n sub-time period using 1 day as the mode of 1 sub-time period, carry out the number of times of business and carry out the moment of business at every turn owing to having determined by above-mentioned steps S101 in each user n Tian Zhonggai community in the past, therefore, for a user, if the moment that the some sub-time period (some days in the n in past days) of dividing has comprised the business at least one times of carrying out in this user Gai community, also be, if this user is within this sub-time period, in Qie Gai community, carried out business at least one times, determine that this sub-time period is the sub-time period that meets specified requirements, thereby, can determine for this user the quantity of the sub-time period that meets specified requirements.
Suppose that set point number is m, the first setting quantity is h, be greater than m if in this user n in the past days, carry out the number of times of business in Qie Gai community, and the quantity of the sub-time period that meets specified requirements of determining for this user is greater than h, illustrate in this user n in the past days and in Gai community, carry out business frequently, and then can determine that this user is exactly strong correlation user corresponding to this community.
Similarly, can adopt said method, for in each n in the past days, in Qie Gai community, carried out the user of business, whether determine in its n in the past days and carry out frequently business in Gai community, to determine whether it is strong correlation user corresponding to this community.Follow-uply can, according to determining each strong correlation user corresponding to Gai community, determine strong correlation user corresponding to this community quantity.
S103: according to the quantity of determining strong correlation user corresponding to Gai community, determine the optimization priority of this community.
In embodiments of the present invention, if strong correlation user corresponding to this community quantity is more, illustrate that in frequent Gai community, to carry out the user of business more, and then illustrate that this community more should be by the preferential network optimization of carrying out, therefore, determine that according to strong correlation user corresponding to this community quantity the method for the optimization priority of this community can be specially: judgement determines whether strong correlation user corresponding to Gai community quantity is not less than the second setting quantity, if, the optimization priority of determining this community is the first priority, otherwise the optimization priority of determining this community is the 3rd priority, wherein, the first priority is higher than the 3rd priority.
For example, suppose that the second setting quantity is X, if strong correlation user corresponding to this community quantity is not less than X, illustrate that in Gai community, frequently to carry out the user of business more, this community should be by the preferential network optimization of carrying out, therefore the optimization priority of determining this community is the first priority, otherwise, if strong correlation user corresponding to this community quantity is less than X, illustrate that in Gai community, frequently to carry out the user of business less, this community, without by the preferential network optimization of carrying out, therefore determines that the priority of this community is the 3rd priority.
S104: according to the optimization priority of determining Gai community, be that this cell allocation is optimized resource, and the network optimization is carried out in the optimization resource Dui Gai community that is based upon this cell allocation.
Wherein, in the time optimizing resource according to the optimization priority of this community for this cell allocation, can be higher according to optimizing priority, the more methods of optimization resource of distributing are this cell allocation optimization resource, distributed after optimization resource, the network optimization is carried out in the optimization resource Dui Gai community that can be based upon this cell allocation.
In said process, first in community, carry out number of times and the moment of business according to each user, determine strong correlation user corresponding to this community quantity, determine again the optimization priority of this community according to strong correlation user's quantity, in prior art, determine according to the KPI of community the method for optimizing priority merely, the said method that the embodiment of the present invention provides can be determined the optimization priority of community accurately, can be according to the optimization priority of this community reasonably for this cell allocation be optimized resource thereby follow-up, and then effectively improve the effect of the network optimization, improve the quality of the business that this community provides.
Preferably, in order further to improve the accuracy of the optimization priority of the community of determining, the effect of optimizing further to improve subsequent network, the quality of the business that raising community provides, in the embodiment of the present invention in the time determining the optimization priority of community, except will considering strong correlation user corresponding to this community quantity, also to consider the mean time section business amount of this community, average period traffic carrying capacity per capita, and the ratio of user's total amount of strong correlation user Zhan Gai community.
Concrete, after the optimization priority of determining community by method is as shown in Figure 1 the first priority, determine that each strong correlation user corresponding to this community is within this default time period, total traffic in Qie Gai community, according to definite total traffic, and the quantity of each sub-time period that this is divided default time period, determine the first ratio of the quantity of this total traffic and each sub-time period, according to the first ratio of determining, and strong correlation user corresponding to this community quantity, determine the second ratio of strong correlation user corresponding to this first ratio Yu Gai community quantity, in the time that the first ratio is not more than the first setting ratio, or, in the time that the second ratio is not more than the second setting ratio, it is the second priority that the optimization priority of Jiang Gai community redefines, wherein, the second priority is lower than the first priority, and higher than the 3rd priority.And business method for determination of amount can determine according to concrete type of service, if such as business is talk business, traffic carrying capacity can be telephone traffic, if business is data service, traffic carrying capacity can be data traffic, just repeats no longer one by one here.
In addition, after the optimization priority of determining community by method is as shown in Figure 1 the 3rd priority, determine within this default time period, carried out all users' of business quantity in Qie Gai community, as the user's total amount in this community, determine the 3rd ratio of the user's total amount in strong correlation user corresponding to this community quantity Yu Gai community, in the time that the 3rd ratio is not more than the 3rd setting ratio, it is the 4th priority that the optimization priority of Jiang Gai community redefines, wherein, the 4th priority is lower than the 3rd priority.
Continue along using example, the default time period is n days in the past, and the time period (n days in past) default to this is divided into the individual sub-time period of n take one day as the mode of a sub-time period, suppose that the first setting ratio is Z, the second setting ratio is U, and the 3rd setting ratio is Y:
If determine that by method as shown in Figure 1 the optimization priority of community is the first priority, determine the total traffic that carries out business in each strong correlation user corresponding to this community n Tian Zhonggai community in the past, because to the n in past days being divides take one day as the mode of a sub-time period, therefore divided altogether n sub-time period, thereby, determine the first ratio of this total traffic and n, this first ratio is the mean time section business amount in this community n in the past days.Determine the second ratio of strong correlation user corresponding to this first ratio Yu Gai community quantity, this second ratio is the traffic carrying capacity per capita of average period in this community n in the past days.If the mean time section business amount (the first ratio) of this community is not more than Z, or, the average period of this community per capita traffic carrying capacity (the second ratio) be not more than U, although it is more frequently to carry out the user of business in explanation Gai community, the traffic carrying capacity of Dan Gai community is also few, therefore to redefine be the second priority to the optimization priority of Jiang Gai community, also suitably reduces the optimization priority of this community.If the average period that the mean time section business amount of this community is greater than Z, Qie Gai community per capita traffic carrying capacity be greater than U, illustrate that in Gai community, frequently to carry out the user of business more, the traffic carrying capacity of this community is also more, and the optimization priority that therefore keeps this community is that the first priority is constant.
If determine that by method as shown in Figure 1 the optimization priority of community is the 3rd priority, determine the quantity of carrying out all users of business in n Tian Zhonggai community in the past, as the user's total amount in this community, the 3rd ratio of determining strong correlation user corresponding to this community quantity and user's total amount, the 3rd ratio is the ratio of user's total amount of strong correlation user Zhan Gai community.If the ratio of user's total amount of the strong correlation user Zhan Gai community of this community (the 3rd ratio) is not more than Y, illustrate that in Gai community not only, frequently to carry out the user of business less, and user in this community also has stronger mobility, therefore to redefine be the 4th priority to the optimization priority of Jiang Gai community, also suitably reduces the optimization priority of this community.If the ratio of user's total amount of the strong correlation user Zhan Gai community of this community is greater than Y, although it is less frequently to carry out the user of business in explanation Gai community, user in Dan Gai community is (mobility is weak) of fixing substantially, and the optimization priority that therefore keeps this community is that the 3rd priority is constant.
In upper example, according to strong correlation user corresponding to community quantity, mean time section business amount, the average period ratio of user's total amount of traffic carrying capacity, strong correlation user Zhan Gai community per capita, determine that the optimization priority of Gai community is specifically as shown in table 1.
Table 1
In table 1, optimize priority order from high to low for four and be followed successively by: the first priority, the second priority, the 3rd priority, the 4th priority.As can be seen from Table 1, in the time that strong correlation user corresponding to community quantity is not less than X, according to the mean time section business amount of this community and average period per capita traffic carrying capacity determine that the optimization priority of this community is the first priority or the second priority, in the time that strong correlation user corresponding to community quantity is less than X, determine that according to the ratio of the strong correlation CU family total amount of this community the optimization priority of this community is the 3rd priority or the 4th priority.Wherein, the X(shown in table 1 second sets quantity), Y(the 3rd sets ratio), Z(first sets ratio), U(second sets ratio) all can set according to actual needs.
Further, in order further to improve the effect that subsequent network is optimized, the quality of the business providing with raising community, in embodiments of the present invention, before the step S 101 by as shown in Figure 1 determines that each user carries out the number of times of business and carries out the moment of business at every turn in community, can also determine that the KPI of this community is not more than the KPI threshold value of setting.Also be, first by the KPI of each community, select the KPI community of lower (being not more than the KPI threshold value of setting), for selecting Ge community, determine the optimization priority of each community by said method, finally carry out the network optimization according to the optimization priority Dui Ge community of each community.
The detailed process of the network optimization that Fig. 2 provides for the embodiment of the present invention, specifically comprises the following steps:
S201: according to the KPI of each community, select KPI to be not more than the community of the KPI threshold value of setting.
S202: for each community of selecting, determine that each user carries out the number of times of business and carries out the moment of business at every turn within the default time period, in Qie Gai community.
S203: for each user, according to the each sub-time period of the time period division to default, and this user carries out the moment of business, the quantity of definite sub-time period that meets specified requirements in default time period Nei Gai community at every turn.
S204: the number of times that carries out business in default time period Nei Gai community is greater than to set point number and the quantity of the sub-time period that meets specified requirements determined is greater than the user of the first setting quantity, is defined as strong correlation user corresponding to this community.
S205: according to definite Gai strong correlation user corresponding to community, determine strong correlation user corresponding to this community quantity.
S206: whether the quantity that judges strong correlation user corresponding to this community is not less than the second setting quantity, if so, performs step S207, otherwise execution step S212.
S207: determine the total traffic of each strong correlation user corresponding to this community within the default time period, in Qie Gai community.
S208: determine the first ratio of total traffic and the quantity of the each sub-time period to this division of default time period, determine the second ratio of strong correlation user corresponding to this first ratio Yu Gai community quantity.
S209: judge whether the first ratio is greater than the first setting ratio and whether the second ratio is greater than the second setting ratio, if so, perform step S210, otherwise execution step S211.
S210: the optimization priority of determining this community is the first priority, execution step S216.
S211: the optimization priority of determining this community is the second priority, execution step S216.
S212: determine within this default time period, carried out all users' of business quantity in Qie Gai community, as user's total amount of this community, determine the 3rd ratio of the user's total amount in strong correlation user corresponding to this community quantity Yu Gai community.
S213: judge whether the 3rd ratio is greater than the 3rd and sets ratio, if so, performs step S214, otherwise execution step S215.
S214: the optimization priority of determining this community is the 3rd priority, execution step S216.
S215: the optimization priority of determining this community is the 4th priority, execution step S216.
S216: according to the optimization priority of this community, be that this cell allocation is optimized resource, and the network optimization is carried out in the optimization resource Dui Gai community that is based upon this cell allocation.
Wherein, above-mentioned optimization priority is followed successively by from high to low: the first priority, the second priority, the 3rd priority, the 4th priority.
The network optimized approach providing for the embodiment of the present invention above, the invention thinking based on same, the embodiment of the present invention also provides a kind of network optimization device, as shown in Figure 3.
Fig. 3 is the network optimization device structural representation that the embodiment of the present invention provides, and specifically comprises:
Strong correlation user determination module 302, the each user who determines for basis carries out the number of times of business and carries out the moment of business at every turn in described community, determines strong correlation user corresponding to described community quantity;
Optimize priority determination module 303, for according to strong correlation user corresponding to the described community of determining quantity, determine the optimization priority of described community;
Described business determination module 301 specifically for, according to the default time period, determine that each user carries out the number of times of business and carries out the moment of business at every turn within the described default time period and in described community;
Described strong correlation user determination module 302 specifically for, for each user, according to the each sub-time period that the described default time period is divided, and this user carries out the moment of business within the described default time period in described community at every turn, determine the quantity of the sub-time period that meets specified requirements, wherein, for a sub-time period, if the moment that this sub-time period comprises the business at least one times that this user carries out in described community, this sub-time period is the sub-time period that meets specified requirements; If this user carries out in described community within the described default time period that the number of times of business is greater than set point number and the quantity of sub-time period that meets specified requirements of determining for this user is greater than the first setting quantity, determine that this user is strong correlation user corresponding to described community; According to each strong correlation user corresponding to described community who determines, determine strong correlation user corresponding to described community quantity.
Described optimization priority determination module 303 specifically for, whether strong correlation user corresponding to described community that judgement is determined quantity is not less than the second setting quantity; If so, the optimization priority of determining described community is the first priority, otherwise the optimization priority of determining described community is the 3rd priority, and wherein, described the first priority is higher than the 3rd priority.
Described optimization priority determination module 303 also for, after determining that the optimization priority of described community is the first priority, determine the total traffic of each strong correlation user corresponding to described community within the described default time period and in described community; According to the described total traffic of determining, and the quantity of each sub-time period that described default time period is divided, determine the first ratio of the quantity of described total traffic and each sub-time period; According to described the first ratio of determining, and strong correlation user corresponding to described community quantity, determine the second ratio of the strong correlation user's that described the first ratio is corresponding with described community quantity; In the time that described the first ratio is not more than the first setting ratio, or in the time that described the second ratio is not more than the second setting ratio, it is the second priority that the optimization priority of described community is redefined, wherein, described the second priority is lower than described the first priority and higher than described the 3rd priority.
Described optimization priority determination module 303 also for, after the optimization priority of determining described community is the 3rd priority, determine within the described default time period and in described community, carried out all users' of business quantity, as the user's total amount in described community; Determine the 3rd ratio of the user's total amount in strong correlation user corresponding to described community quantity and described community; In the time that described the 3rd ratio is not more than the 3rd setting ratio, it is the 4th priority that the optimization priority of described community is redefined, and wherein, described the 4th priority is lower than described the 3rd priority.
Described business determination module 301 also for, before definite each user carries out the number of times of business and carries out the moment of business at every turn in described community, determine that the Key Performance Indicator KPI of described community is not more than the KPI threshold value of setting.
The embodiment of the present invention provides a kind of network optimized approach and device, the method is for Yi Ge community, according to number of times and the moment of carrying out business in each user Gai community, determine strong correlation user corresponding to this community quantity, and determine the optimization priority of this community according to strong correlation user corresponding to this community quantity, finally optimize resource according to the optimization priority of this community for this cell allocation, the network optimization is carried out in the optimization resource Dui Gai community based on distributing.Due in the embodiment of the present invention in the time determining the optimization priority of community, the quantity of the number of times of the business of first carrying out according to the user in Gai community and moment determining strong correlation user corresponding to this community, again according to strong correlation user corresponding to this community quantity and definite, therefore can determine accurately the optimization priority of this community, can be reasonably for this cell allocation be optimized resource thereby follow-up, and then effectively improve the effect of the network optimization, improve the quality of the business that this community provides.
Those skilled in the art should understand, the application's embodiment can be provided as method, system or computer program.Therefore, the application can adopt complete hardware implementation example, completely implement software example or the form in conjunction with the embodiment of software and hardware aspect.And the application can adopt the form at one or more upper computer programs of implementing of computer-usable storage medium (including but not limited to magnetic disc store, CD-ROM, optical memory etc.) that wherein include computer usable program code.
The application is with reference to describing according to flow chart and/or the block diagram of the method for the embodiment of the present application, equipment (system) and computer program.Should understand can be by the flow process in each flow process in computer program instructions realization flow figure and/or block diagram and/or square frame and flow chart and/or block diagram and/or the combination of square frame.Can provide these computer program instructions to the processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing device to produce a machine, the instruction that makes to carry out by the processor of computer or other programmable data processing device produces the device for realizing the function of specifying at flow process of flow chart or multiple flow process and/or square frame of block diagram or multiple square frame.
These computer program instructions also can be stored in energy vectoring computer or the computer-readable memory of other programmable data processing device with ad hoc fashion work, the instruction that makes to be stored in this computer-readable memory produces the manufacture that comprises command device, and this command device is realized the function of specifying in flow process of flow chart or multiple flow process and/or square frame of block diagram or multiple square frame.
These computer program instructions also can be loaded in computer or other programmable data processing device, make to carry out sequence of operations step to produce computer implemented processing on computer or other programmable devices, thereby the instruction of carrying out is provided for realizing the step of the function of specifying in flow process of flow chart or multiple flow process and/or square frame of block diagram or multiple square frame on computer or other programmable devices.
Although described the application's preferred embodiment, once those skilled in the art obtain the basic creative concept of cicada, can make other change and modification to these embodiment.So claims are intended to be interpreted as comprising preferred embodiment and fall into all changes and the modification of the application's scope.
Obviously, those skilled in the art can carry out various changes and modification and the spirit and scope that do not depart from the application to the application.Like this, if within these of the application are revised and modification belongs to the scope of the application's claim and equivalent technologies thereof, the application is also intended to comprise these changes and modification interior.
Claims (12)
1. a network optimized approach, is characterized in that, comprising:
For Yi Ge community, determine that each user carries out the number of times of business and carries out the moment of business at every turn in described community;
In described community, carry out the number of times of business and carry out moment of business at every turn according to the each user who determines, determine strong correlation user corresponding to described community quantity;
According to strong correlation user corresponding to the described community of determining quantity, determine the optimization priority of described community;
According to the optimization priority of described community of determining, be that described cell allocation is optimized resource, and the optimization resource that is based upon described cell allocation is carried out the network optimization to described community.
2. the method for claim 1, is characterized in that, determines that each user carries out the number of times of business and carries out the moment of business at every turn in described community, specifically comprises:
According to the default time period, determine that each user carries out the number of times of business and carries out the moment of business at every turn within the described default time period and in described community;
In described community, carry out the number of times of business and carry out moment of business at every turn according to the each user who determines, determine strong correlation user corresponding to described community quantity, specifically comprise:
For each user, according to the each sub-time period that the described default time period is divided, and this user carries out the moment of business within the described default time period in described community at every turn, determine the quantity of the sub-time period that meets specified requirements, wherein, for a sub-time period, if moment of comprising the business at least one times that this user carries out in described community this sub-time period, this sub-time period is the sub-time period that meets specified requirements;
If this user carries out in described community within the described default time period that the number of times of business is greater than set point number and the quantity of sub-time period that meets specified requirements of determining for this user is greater than the first setting quantity, determine that this user is strong correlation user corresponding to described community;
According to each strong correlation user corresponding to described community who determines, determine strong correlation user corresponding to described community quantity.
3. method as claimed in claim 2, is characterized in that, according to strong correlation user corresponding to the described community of determining quantity, determines the optimization priority of described community, specifically comprises:
Whether the quantity that judges strong correlation user corresponding to definite described community is not less than the second setting quantity;
If so, the optimization priority of determining described community is the first priority, otherwise the optimization priority of determining described community is the 3rd priority, and wherein, described the first priority is higher than the 3rd priority.
4. method as claimed in claim 3, is characterized in that, the optimization priority of determining described community is after the first priority, and described method also comprises:
Determine the total traffic of each strong correlation user corresponding to described community within the described default time period and in described community;
According to the described total traffic of determining, and the quantity of each sub-time period that described default time period is divided, determine the first ratio of the quantity of described total traffic and each sub-time period;
According to described the first ratio of determining, and strong correlation user corresponding to described community quantity, determine the second ratio of the strong correlation user's that described the first ratio is corresponding with described community quantity;
In the time that described the first ratio is not more than the first setting ratio, or in the time that described the second ratio is not more than the second setting ratio, it is the second priority that the optimization priority of described community is redefined, wherein, described the second priority is lower than described the first priority and higher than described the 3rd priority.
5. method as claimed in claim 3, is characterized in that, the optimization priority of determining described community is after the 3rd priority, and described method also comprises:
Determine within the described default time period and in described community, carried out all users' of business quantity, as the user's total amount in described community;
Determine the 3rd ratio of the user's total amount in strong correlation user corresponding to described community quantity and described community;
In the time that described the 3rd ratio is not more than the 3rd setting ratio, it is the 4th priority that the optimization priority of described community is redefined, and wherein, described the 4th priority is lower than described the 3rd priority.
6. the method for claim 1, is characterized in that, before determining that each user carries out the number of times of business and carries out the moment of business at every turn in described community, described method also comprises:
Determine that the Key Performance Indicator KPI of described community is not more than the KPI threshold value of setting.
7. a network optimization device, is characterized in that, comprising:
Business determination module, for for Yi Ge community, determines that each user carries out the number of times of business and carries out the moment of business at every turn in described community;
Strong correlation user determination module, the each user who determines for basis carries out the number of times of business and carries out the moment of business at every turn in described community, determines strong correlation user corresponding to described community quantity;
Optimize priority determination module, for according to strong correlation user corresponding to the described community of determining quantity, determine the optimization priority of described community;
Network optimization module, for according to the optimization priority of described community of determining, is that described cell allocation is optimized resource, and the optimization resource that is based upon described cell allocation is carried out the network optimization to described community.
8. device as claimed in claim 7, it is characterized in that, described business determination module specifically for, according to the default time period, determine that each user carries out the number of times of business and carries out the moment of business at every turn within the described default time period and in described community;
Described strong correlation user determination module specifically for, for each user, according to the each sub-time period that the described default time period is divided, and this user carries out the moment of business within the described default time period in described community at every turn, determine the quantity of the sub-time period that meets specified requirements, wherein, for a sub-time period, if the moment that this sub-time period comprises the business at least one times that this user carries out in described community, this sub-time period is the sub-time period that meets specified requirements; If this user carries out in described community within the described default time period that the number of times of business is greater than set point number and the quantity of sub-time period that meets specified requirements of determining for this user is greater than the first setting quantity, determine that this user is strong correlation user corresponding to described community; According to each strong correlation user corresponding to described community who determines, determine strong correlation user corresponding to described community quantity.
9. device as claimed in claim 8, is characterized in that, described optimization priority determination module specifically for, whether strong correlation user corresponding to described community that judgement is determined quantity is not less than the second setting quantity; If so, the optimization priority of determining described community is the first priority, otherwise the optimization priority of determining described community is the 3rd priority, and wherein, described the first priority is higher than the 3rd priority.
10. device as claimed in claim 9, it is characterized in that, described optimization priority determination module also for, after the optimization priority of determining described community is the first priority, determine the total traffic of each strong correlation user corresponding to described community within the described default time period and in described community; According to the described total traffic of determining, and the quantity of each sub-time period that described default time period is divided, determine the first ratio of the quantity of described total traffic and each sub-time period; According to described the first ratio of determining, and strong correlation user corresponding to described community quantity, determine the second ratio of the strong correlation user's that described the first ratio is corresponding with described community quantity; In the time that described the first ratio is not more than the first setting ratio, or in the time that described the second ratio is not more than the second setting ratio, it is the second priority that the optimization priority of described community is redefined, wherein, described the second priority is lower than described the first priority and higher than described the 3rd priority.
11. devices as claimed in claim 9, it is characterized in that, described optimization priority determination module also for, after the optimization priority of determining described community is the 3rd priority, determine within the described default time period and in described community, carried out all users' of business quantity, as the user's total amount in described community; Determine the 3rd ratio of the user's total amount in strong correlation user corresponding to described community quantity and described community; In the time that described the 3rd ratio is not more than the 3rd setting ratio, it is the 4th priority that the optimization priority of described community is redefined, and wherein, described the 4th priority is lower than described the 3rd priority.
12. devices as claimed in claim 7, it is characterized in that, described business determination module also for, before definite each user carries out the number of times of business and carries out the moment of business at every turn in described community, determine that the Key Performance Indicator KPI of described community is not more than the KPI threshold value of setting.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109803295A (en) * | 2019-03-05 | 2019-05-24 | 中国联合网络通信集团有限公司 | A kind of evaluation method and device of communication cell rectification priority |
| CN114422514A (en) * | 2022-01-25 | 2022-04-29 | 广州市浚聪计算机有限公司 | Information system integrated terminal based on computer network technology |
| WO2023212845A1 (en) * | 2022-05-05 | 2023-11-09 | Nokia Shanghai Bell Co., Ltd. | Method, apparatus and computer program |
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| JP4805622B2 (en) * | 2005-07-12 | 2011-11-02 | 株式会社日立製作所 | Network management device |
| CN102036378B (en) * | 2009-09-24 | 2014-04-09 | 中兴通讯股份有限公司 | Method and device for allocating channels as well as method for allocating available resources of base station |
| CN102143484A (en) * | 2010-12-20 | 2011-08-03 | 华为技术有限公司 | Method and device for processing resource allocation as well as network service system |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109803295A (en) * | 2019-03-05 | 2019-05-24 | 中国联合网络通信集团有限公司 | A kind of evaluation method and device of communication cell rectification priority |
| CN109803295B (en) * | 2019-03-05 | 2022-03-15 | 中国联合网络通信集团有限公司 | Method and device for evaluating communication cell rectification priority |
| CN114422514A (en) * | 2022-01-25 | 2022-04-29 | 广州市浚聪计算机有限公司 | Information system integrated terminal based on computer network technology |
| WO2023212845A1 (en) * | 2022-05-05 | 2023-11-09 | Nokia Shanghai Bell Co., Ltd. | Method, apparatus and computer program |
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