CN105376089A - Network planning method and device - Google Patents
Network planning method and device Download PDFInfo
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- CN105376089A CN105376089A CN201510697844.0A CN201510697844A CN105376089A CN 105376089 A CN105376089 A CN 105376089A CN 201510697844 A CN201510697844 A CN 201510697844A CN 105376089 A CN105376089 A CN 105376089A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
Abstract
The embodiment of the invention discloses a network planning method and device for planning a conventional network, improving the network, and improving user experience. The method comprises steps of: setting a target value of a user service experience index of a target area; determining the problem network grids of the target area; planning the network of the target area by means of a preset planning way according to the positional information of the problem network grids; acquiring simulated values of the basic indexes of the target network grids subjected to network planning by means of basic simulation; acquiring the planning values of the user service experience indexes of the target network grids subjected to the network planning according to the simulated values and a preset computing model of the user service experience indexes; determining whether the user service experience index of the target area subjected to network planning reaches a target value according to the planning values; if yes, outputting a planning result corresponding to the network planning; and if not, planning the target area subjected to the network planning again until the user service experience index of the target area reaches the target value.
Description
Technical field
The present invention relates to the communications field, particularly relate to a kind of network plan method and device.
Background technology
Along with radio network technique development and business are enriched constantly, legacy network performance index can not reflect the sense of reality of user comprehensively, have the example of a lot of reality in existing network, network performance index is good, but there is many customer complaints: as single-pass, throughput is low, time delay is large.In addition, network performance index is the embodiment of network level, signaling plane, can not reflect the sense of reality in terminal use face.Increasing operator wishes planning and the Optimization Work of oneself network, can from customer service experience, embody the sense of reality of terminal use, so the npt experienced by customer service has become a research emphasis in wireless network planning, network optimization.
Customer experience administrative center (CustomerExperienceManagementCenter, CMEC) by analyze user for the usage frequency of miscellaneous service, network and service quality, Key Quality Indicator is weighted and gathers, set up the CMEC index system of impression of being close to the users as far as possible, by the perception situation of monitoring the whole network user, thus assessment and analysis is carried out to quality of service, for operator's lean operation provides support.
But CMEC platform can only provide data supporting for all kinds of analytical statement, reasonably can not plan existing network for Consumer's Experience index, promote the business experience of user.
Summary of the invention
Embodiments providing a kind of network plan method and device, for carrying out the network planning to existing network, improving network, promote Consumer's Experience.
In view of this, embodiment of the present invention first aspect provides a kind of network plan method, comprising:
The customer service in device for planning Offered target region experiences the desired value of index;
1) described device for planning determines the network of problem grid of described target area according to described desired value;
2) described device for planning carries out the network planning by preset Planning instrument to described target area according to the positional information of described network of problem grid;
3) described device for planning obtains the simulation value of the base values of objective network grid after the described network planning by basis emulation, and described objective network grid is by the network grid that the described network planning affects in described target area;
4) after described device for planning obtains the described network planning according to the preset computation model that described simulation value and described customer service experience index, the described customer service of each objective network grid experiences the planning value of index;
5) after described device for planning judges the described network planning according to described planning value, whether the customer service experience index of described target area reaches described desired value;
If so, then described device for planning exports program results corresponding to the described network planning;
If not, then described device for planning is planned the target area after the described network planning again until the customer service of described target area experiences index reach described desired value.
In conjunction with first aspect present invention, in the first execution mode of first aspect present invention, described device for planning is planned again to the network after described planning until the customer service of described target area experiences index reaches described desired value and comprise:
Described device for planning repeated execution of steps 1) to step 5).
In conjunction with the first execution mode of first aspect present invention and first aspect present invention, in the second execution mode of first aspect present invention, according to described desired value, described device for planning determines that the network of problem grid of described target area comprises:
Described device for planning determines that in described target area, telephone traffic reaches the active block grid of preset threshold value;
Customer service described in described active block grid is experienced index and is not reached the network grid of described desired value as network of problem grid by described device for planning.
In conjunction with the first execution mode of first aspect present invention and first aspect present invention, in the 3rd execution mode of first aspect present invention, according to described desired value, described device for planning determines that the network of problem grid of described target area comprises:
Described device for planning determines that in described target area, telephone traffic reaches the active block grid of preset threshold value, and described telephone traffic does not reach the invalid network grid of preset threshold value;
Customer service described in described active block grid is experienced index and is not reached the network grid of described desired value by described device for planning, and in described invalid network grid coverage lower than the network grid of presetting range as network of problem grid.
In conjunction with the first execution mode of first aspect present invention and first aspect present invention, in the 4th execution mode of first aspect present invention, described method also comprises:
Described device for planning sets up the preset computation model that described customer service experiences index.
In conjunction with the 4th execution mode of first aspect present invention, in the 5th execution mode of first aspect present invention, described device for planning is set up described customer service experience index model and is comprised:
Described device for planning obtains the historical data of base values described in each network grid in described target area;
Described device for planning according to described historical data by each network grid division described in different scene type;
Described device for planning determines each scene type characteristic of correspondence index;
Described device for planning is for each scene type described, by the value of characteristic index described in historical data corresponding for all-network grid in this scene type, and described customer service is experienced value corresponding to index and is carried out matching and obtain the preset computation model that described customer service corresponding to this scene type experiences index;
The planning value that after described device for planning obtains the described network planning according to the preset computation model that described simulation value and customer service experience index, the described customer service of each objective network grid experiences index comprises:
Described device for planning determines the target scene type that described objective network grid is corresponding and the target signature index that described target scene type is corresponding;
Described target signature in the described simulation value of described objective network grid is referred to that target value inputs the planning value that described customer service that preset computation model that described customer service corresponding to described target scene type experience index obtains described objective network grid experiences index by described device for planning.
Second aspect present invention provides a kind of network planning device, comprising:
Arrange module, the customer service for Offered target region experiences the desired value of index;
Determination module, for determining the network of problem grid of described target area according to the described desired value arranging module installation;
Planning module, the positional information for the network of problem grid determined according to described determination module carries out the network planning by preset Planning instrument to described target area;
Emulation module, for being obtained the simulation value of the base values of objective network grid after the described network planning by basis emulation, described objective network grid is the network grid that the network planning undertaken by described planning module in described target area affects;
Computing module, after the simulation value that preset computation model and described emulation module for experiencing index according to customer service obtain obtains the described network planning, the described customer service of each objective network grid experiences the planning value of index;
Judge module, after the planning value for obtaining according to described computing module judges the described network planning, whether the customer service experience index of described target area reaches described desired value;
Output module, during for determining that when described judge module the customer service experience index of described target area after the described network planning reaches described desired value, exports the program results that the described network planning is corresponding;
Described planning module, time also for determining that when described judge module the customer service experience index of described target area after the described network planning does not reach described desired value, the target area after the described network planning is planned again until the customer service of described target area experiences index reach described desired value.
In conjunction with second aspect present invention, in the first execution mode of second aspect present invention, described planning module is also for determination module described in repeated trigger.
In conjunction with the first execution mode of second aspect present invention and second aspect present invention, in the second execution mode of second aspect present invention,
Described determination module, also for determining that in described target area, telephone traffic reaches the active block grid of preset threshold value;
Described determination module, also reaches the network grid of described desired value as network of problem grid for customer service described in described active block grid is experienced index.
In conjunction with the first execution mode of second aspect present invention and second aspect present invention, in the 3rd execution mode of second aspect present invention,
Described determination module, also for determining that in described target area, telephone traffic reaches the active block grid of preset threshold value, and described telephone traffic does not reach the invalid network grid of preset threshold value;
Described determination module, does not also reach the network grid of described desired value for customer service described in described active block grid is experienced index, and in described invalid network grid coverage lower than the network grid of presetting range as network of problem grid.
In conjunction with the first execution mode of second aspect present invention and second aspect present invention, in the 4th execution mode of second aspect present invention, described device also comprises:
Setting up module, experiencing the preset computation model of index for setting up described customer service.
In conjunction with the 4th execution mode of second aspect present invention, in the 5th execution mode of second aspect present invention,
Describedly set up module, also for obtaining the historical data of each network grid in described target area;
Describedly set up module, also for according to described historical data by each network grid division described in different scene type;
Describedly set up module, also for determining each scene type characteristic of correspondence index;
Describedly set up module, also for for each scene type described, by the value of characteristic index described in historical data corresponding for all-network grid in this scene type, and described customer service is experienced value corresponding to index and is carried out matching and obtain the preset computation model that described customer service corresponding to this scene type experiences index;
Described computing module, also for determining the target scene type that described objective network grid is corresponding, and the target signature index that described target scene type is corresponding;
Described computing module, also for the described target signature in the described simulation value of described objective network grid being referred to target value inputs the planning value that described customer service that preset computation model that described customer service corresponding to described target scene type experience index obtains described objective network grid experiences index.
As can be seen from the above technical solutions, the embodiment of the present invention has the following advantages:
In the embodiment of the present invention, after the desired value of the customer service experience index in device for planning Offered target region, the network of problem grid of target area is determined according to desired value, positional information according to network of problem grid carries out the network planning by preset Planning instrument to target area, the base values simulation value of objective network grid is obtained by basis emulation, after the preset computation model experiencing index according to base values simulation value and customer service obtains the network planning, the customer service of each objective network grid experiences the planning value of index, after judging the network planning according to planning value, whether the customer service experience index of target area reaches desired value, if, the program results that then output network planning is corresponding, if not, then the target area after the network planning is planned again until the customer service of target area experiences index reach desired value.That is in this programme, device for planning carries out the network planning by preset Planning instrument to target area, makes the customer service of target area experience index and reaches the desired value preset, thus improve network, promote user satisfaction.
Accompanying drawing explanation
Fig. 1 is an embodiment schematic diagram of network plan method in the embodiment of the present invention;
Fig. 2 is another embodiment schematic diagram of network plan method in the embodiment of the present invention;
Fig. 3 is an embodiment schematic diagram of device for planning in the embodiment of the present invention;
Fig. 4 is another embodiment schematic diagram of device for planning in the embodiment of the present invention.
Embodiment
Embodiments providing a kind of network plan method and device, for carrying out the network planning to existing network, improving network, promote Consumer's Experience.
Refer to Fig. 1, in the embodiment of the present invention, an embodiment of network plan method comprises:
101, the customer service in device for planning Offered target region experiences the desired value of index;
The information that device for planning inputs according to user, determines the target area needing to carry out the network planning, and the customer service arranging this target area experiences the desired value of index.It should be noted that, Consumer's Experience refers to that user is using the impression of setting up in business procedure, customer service is experienced index and is referred to the parameter that can reflect that user is subject to certain business use sense, this parameter can be key quality parameters (KeyQualityIndicators, KQI), can also be other parameters, specifically be not construed as limiting herein, here business refers to communication service, such as web traffic, video traffic, short message service etc.Wherein, KQI is the QoS parameter to the impression of being close to the users that different business proposes.
102, device for planning determines the network of problem grid of this target area according to this desired value;
Target area, by target area rasterizing, is divided into the identical closely adjacent network grid of several sizes, after Offered target value, determines the network of problem grid of this target area according to this desired value by device for planning.
103, device for planning carries out the network planning by preset Planning instrument to this target area according to the positional information of this network of problem grid;
After device for planning problem identificatioin network grid, the positional information according to this network of problem grid carries out the network planning by preset Planning instrument to this target area.It should be noted that, positional information is for indicating the geographical position of network of problem grid.Planning instrument can be pre-set by user, also can be pre-set by system, specifically be not construed as limiting herein.When arranging Planning instrument, one or multinomial can be arranged, the priority of every means can also be set when arranging multinomial, also can not arrange, specifically be not construed as limiting herein.If the priority of being provided with, so device for planning is when carrying out the network planning to target area, preferentially can adopt the Planning instrument that priority is higher.Also it should be noted that, Planning instrument can comprise carrier wave dilatation, sector splitting, selective calling, adds macro station or add small station, can also comprise other means, specifically be not construed as limiting herein.
104, device for planning obtains the simulation value of the base values of objective network grid after the network planning by basis emulation;
After device for planning carries out the network planning to target area, the simulation value of the base values of objective network grid is obtained by basis emulation, objective network grid is by the network grid that the network planning affects in target area, and objective network grid can be determined according to concrete Planning instrument by device for planning.
It should be noted that, basis emulation comprises emulation of coverage capability, Capacity Simulation or rate simulating, can also comprise other emulation and specifically be not construed as limiting herein.Base values can comprise level interference index, traffic class index or rate index, can also comprise other indexs and specifically be not construed as limiting herein.Wherein, for 3-G (Generation Three mobile communication system), level interference index can comprise received signal code power (ReceivedSignalCodePower, RSCP), the ratio (ChipEnergy/Noisepower of chip energy and total interference performance density, Ec/No), other indexs can also be comprised, traffic class index can comprise number of users or throughput, other indexs can also be comprised, rate index can be the maximum rate that can provide for user, can also be other indexs, specifically be not construed as limiting herein.
Be understandable that, emulation of coverage capability comprises level emulation and interference simulation, after device for planning can obtain the network planning by emulation of coverage capability, the level of objective network grid disturbs the simulation value of index, can be obtained the simulation value of the capacity performance index of objective network grid after the network planning by Capacity Simulation, through-rate emulation can obtain the simulation value of the rate index of objective network grid after the network planning.
105, after device for planning obtains the network planning according to the preset computation model that this simulation value and customer service experience index, the customer service of each objective network grid experiences the planning value of index;
After device for planning obtains the simulation value of the base values of objective network grid after the network planning, after the preset computation model experiencing index according to this simulation value and customer service calculates the network planning, the customer service of each objective network grid experiences the planning value of index.It should be noted that, the preset computation model that customer service experiences index is that device for planning gets in advance, and this preset computation model refers to target value for calculating the experience of this customer service.
106, after device for planning judges the network planning according to this planning value, whether the customer service experience index of target area reaches this desired value, if so, then performs step 107, if not, then performs step 108;
After device for planning obtains the planning value of customer service experience index of each objective network grid, after judging the network planning according to this planning value, whether the customer service experience index of target area reaches this desired value, if so, then performs step 107, if not, then step 108 is performed.It should be noted that,
107, the program results that the planning of device for planning output network is corresponding;
When the customer service experience index of target area after the device for planning determination network planning reaches this desired value, the program results that the planning of device for planning output network is corresponding.
108, device for planning is planned the target area after the network planning again until the customer service of this target area experiences index reach this desired value.
Customer service experience index when target area after the device for planning determination network planning does not reach this desired value, and device for planning is planned again to the target area after the network planning until the customer service of this target area experiences index reach this desired value.
In the embodiment of the present invention, after the desired value of the customer service experience index in device for planning Offered target region, the network of problem grid of target area is determined according to desired value, positional information according to network of problem grid carries out the network planning by preset Planning instrument to target area, the base values simulation value of objective network grid is obtained by basis emulation, after the preset computation model experiencing index according to base values simulation value and customer service obtains the network planning, the customer service of each objective network grid experiences the planning value of index, after judging the network planning according to planning value, whether the customer service experience index of target area reaches desired value, if, the program results that then output network planning is corresponding, if not, then the target area after the network planning is planned again until the customer service of target area experiences index reach desired value.That is in this programme, device for planning carries out the network planning by preset Planning instrument to target area, makes the customer service of target area experience index and reaches the desired value preset, thus improve network, promote Consumer's Experience.
For the ease of understanding, below to be described in detail the network plan method in the embodiment of the present invention, refer to Fig. 2, in the embodiment of the present invention, another embodiment of network plan method comprises:
201, device for planning sets up the preset computation model that customer service experiences index;
Device for planning sets up the preset computation model that customer service experiences index, it should be noted that, device for planning can set up the preset computation model that each customer service experiences index for different scenes, also can set up regardless of scene the preset computation model that a general customer service experiences index, specifically be not construed as limiting herein.
Particularly, device for planning can set up the preset computation model that customer service experiences index in the following way:
One, device for planning obtains the historical data of base values in each network grid in target area;
Particularly, device for planning can obtain the historical data of base values in each network grid in target area in the following way:
Device for planning gathers the measurement report (MeasurementReport of target area, MR), call history (CallHistoryRecord, CHR), traffic statistics data, man-machine language (Man-MachineLanguage, MML) configuration parameter and engineering parameter, these data are carried out rasterizing process, then obtains the historical data of base values and customer service experience index in each network grid in target area by location, splicing.It should be noted that, base values can comprise level interference index, traffic class index or rate index, can also comprise other indexs and specifically be not construed as limiting herein.
Two, device for planning according to historical data by each network grid division in different scene type;
After device for planning gets historical data, according to historical data by each network grid division in different scenes, particularly, can divide according to performance or planning factor, performance is identical or that planning factor is similar data are assigned in Same Scene, such as network grid corresponding for the data showing as busy can be divided in Same Scene classification, network grid corresponding for the data showing as idle is divided in another scene type.Device for planning can also divide scene type according to other factors, is specifically not construed as limiting herein.
It should be noted that, in this step, cluster can adopt K-means or K-medoids algorithm, can also adopt other algorithms, and the grader training algorithm after cluster can adopt RandomForest algorithm, also can adopt other algorithms, specifically be not construed as limiting herein.
Three, device for planning determines each scene type characteristic of correspondence index;
Device for planning is by after each network grid division to different scene type, because different classes of scene, reflect that the characteristic index of its network performance is different, device for planning is for different classes of scene, from base values, choose the characteristic index of the network performance feature that can reflect this scene type, namely determine each scene type characteristic of correspondence index.
It should be noted that, this step can adopt iterative characteristic selection algorithm, namely adopts the method for intersecting and sampling and combining with backward selection.The sampling that intersects can avoid the problem of the feature local optimum chosen, and backward selection is a kind of iteration choosing method of Characteristic Number, namely at the beginning all features are taken into account, then the constantly quality of computation model of iteration and the importance of feature, after each iteration, unessential feature is removed, progressively reduces Characteristic Number, know and find suitable feature quantity.
Four, device for planning is for each scene type, will the value of this characteristic index in the historical data that in this scene type, upper all-network grid is corresponding, and customer service is experienced value corresponding to index and is carried out matching and obtain the preset computation model that customer service corresponding to this scene type experiences index.
After device for planning determines each scene type characteristic of correspondence index, for each scene type, by in historical data corresponding for the network grid in this classification, this scene type characteristic of correspondence refers to target value, and customer service experience refers to that target value carries out matching and obtains the preset computation model that this customer service corresponding to this scene type experiences index.
It should be noted that, device for planning can carry out matching by distribution-free regression procedure, also can matching by other means, is specifically not construed as limiting herein.Particularly, device for planning adopts distribution-free regression procedure can call Generalized Additive Models to carry out matching and obtain preset computation model, and this model form is as follows:
Wherein Y is response variable (dependent variable), and X is independent variable, and α is linearity error, and G is contiguous function, f
j(x
j) be a kind of nonparametric function of smooth function.
For Generalized Additive Models, in order to seek the relation between response variable Y and independent variable X time main, this relation may be linear, also may be nonlinear, and also the existing linear components of possibility, has again the relation of non-linear component.Here base values is independent variable X, and it is dependent variable Y that customer service experiences index.
202, the customer service in device for planning Offered target region experiences the desired value of index;
The information that device for planning inputs according to user, determines the target area needing to carry out the network planning, and the customer service arranging this target area experiences the desired value of index.It should be noted that, Consumer's Experience refers to that user is using the impression of setting up in business procedure, customer service is experienced index and is referred to the parameter that can reflect that user is subject to certain business use sense, this parameter can be key quality parameters (KeyQualityIndicators, KQI), can also be other parameters, specifically be not construed as limiting herein, here business refers to communication service, such as web traffic, video traffic, short message service etc.Wherein, KQI is the QoS parameter to the impression of being close to the users that different business proposes.
It should be noted that, the desired value of unique user business experience index can be set here, the desired value that multiple customer service experiences index also can be set, specifically be not construed as limiting herein.
203, device for planning determines the network of problem grid of this target area according to this desired value;
After device for planning Offered target value, determine the network of problem grid of this target area according to this desired value.Particularly, device for planning can problem identificatioin network grid in the following way:
One, device for planning determines that in target area, telephone traffic reaches the active block grid of preset threshold value, customer service in active block grid is experienced the network grid of index miss the mark value as network of problem grid.
Two, device for planning determines that in target area, telephone traffic reaches the active block grid of preset threshold value, and telephone traffic does not reach the invalid network grid of preset threshold value, customer service in active block grid is experienced the network grid of index miss the mark value, and in invalid network grid coverage lower than the network grid of presetting range as network of problem grid.
Device for planning can also problem identificatioin network grid by other means, is specifically not construed as limiting herein.
It should be noted that, if above-mentioned steps 202 setting is the desired value that multiple customer service experiences index, then multiple customer service experience index calculate can be gathered and obtain a composite score, then contrast.
204, device for planning carries out the network planning by preset Planning instrument to this target area according to the positional information of this network of problem grid;
After device for planning problem identificatioin network grid, the positional information according to this network of problem grid carries out the network planning by preset Planning instrument to this target area.It should be noted that, positional information is for indicating the geographical position of network of problem grid.Planning instrument can be pre-set by user, also can be pre-set by system, specifically be not construed as limiting herein.When arranging Planning instrument, one or multinomial can be arranged, the priority of every means can also be set when arranging multinomial, also can not arrange, specifically be not construed as limiting herein.If the priority of being provided with, so device for planning is when carrying out the network planning to target area, preferentially can adopt the Planning instrument that priority is higher.Also it should be noted that, Planning instrument can comprise carrier wave dilatation, sector splitting, selective calling, adds macro station or add small station, can also comprise other means, specifically be not construed as limiting herein.
Particularly, device for planning can carry out the network planning by following several mode:
One, preset Planning instrument is carrier wave dilatation.
Device for planning increases carrier wave in the sector that problem grid is corresponding and carries out dilatation.
Two, preset Planning instrument is sector splitting.
Device for planning is according to the rational consideration of sector air exercise, angular separation, and splitting is carried out in the sector corresponding to problem grid.
Three, preset Planning instrument is selective calling.
Device for planning determines the website allowing in target area to select, and determines that the ISD of these websites is the targeted sites of the coverage interior existing problems grid of radius, targeted sites carries out selective calling.
Four, preset Planning instrument is for adding macro station.
What device for planning determined can to increase in target area macro station adds region, station, determines to add in region, station the have problems target of grid and adds region, station, add regional planning macro station site, station, and arrange the radio frequency parameter of this macro station in target.
Five, preset Planning instrument is for adding small station.
Device for planning determines to meet in target area the site, micro-station that micro-station adds station condition, in planning small station, site, micro-station, within the scope of 360 °, this small station, carries out gain maximum azimuth poll with the amplitude of sector angle 30 °.
It should be noted that, device for planning can arrange priority to network of problem grid, when carrying out the network planning, first takes preset Planning instrument for the network of problem grid that priority is high.Also it should be noted that, the network planning in the embodiment of the present invention is an iteration planning, device for planning can arrange the dynamics planning the preset Planning instrument taked each time, particularly, the number of carriers planning increase each time can be set for carrier wave dilatation, the number of sectors planning splitting each time can be set for sector splitting, the quantity planning selective calling each time can be set for selective calling, add small station for adding macro station the quantity increased each time can be set, it can be one, it can be two, can also be other numerical value, be not construed as limiting for concrete time herein.Such as, preset Planning instrument is carrier wave dilatation, device for planning arranges and plans that the number of carriers of increase is one each time, then device for planning only increases a carrier wave each time, all will carry out base values emulation, a customer service and experience the calculating of index and the no judgement reaching desired value.
205, device for planning obtains the simulation value of the base values of objective network grid after the network planning by basis emulation;
After device for planning carries out the network planning to target area, the simulation value of the base values of objective network grid is obtained by basis emulation, objective network grid is by the network grid that the network planning affects in target area, objective network grid can be determined according to concrete Planning instrument by device for planning, such as, the network planning is specially increases a macro station in destination address, the default distance that affects of macro station is 1 km, be then objective network grid with the network grid of destination address within a km.
It should be noted that, basis emulation comprises emulation of coverage capability, Capacity Simulation or rate simulating, can also comprise other emulation and specifically be not construed as limiting herein.Base values can comprise level interference index, traffic class index or rate index, can also comprise other indexs and specifically be not construed as limiting herein.Wherein, for 3-G (Generation Three mobile communication system), level interference index can comprise PSCP, Ec/No, other indexs can also be comprised, traffic class index can comprise number of users or throughput, can also comprise other indexs, and rate index can be the maximum rate that can provide for user, can also be other indexs, specifically be not construed as limiting herein.
Be understandable that, emulation of coverage capability comprises level emulation and interference simulation, after device for planning can obtain the network planning by emulation of coverage capability, the level of objective network grid disturbs the simulation value of index, can be obtained the simulation value of the capacity performance index of objective network grid after the network planning by Capacity Simulation, through-rate emulation can obtain the simulation value of the rate index of objective network grid after the network planning.
Particularly, each basis emulation can calculate each objective network grid in the following way:
Emulation of coverage capability: after calculating link load, the indices of grid analysis estimation cell coverage area Network Based.When calculating indices, a network grid point is equivalent to a Virtual User (and synchronization only has a user), receives the signal in network;
Capacity Simulation: arranged by the data such as electronic chart, network management, carrys out wireless network operation conditions that is virtually reality like reality, thus objective, effectively export and represent the capacity performance index of network performance;
Rate simulating: according to the covering of network grid, power, code and traffic model, calculate the maximum rate that current network grid eats dishes without rice or wine on average to provide for user.
206, after device for planning obtains the network planning according to the preset computation model that this simulation value and customer service experience index, the customer service of each objective network grid experiences the planning value of index;
After device for planning obtains the simulation value of the base values of objective network grid after the network planning, after the preset computation model experiencing index according to this simulation value and customer service calculates the network planning, the customer service of each objective network grid experiences the planning value of index.
Particularly, according to the preset computation model of the Consumer's Experience index set up in step 201, after device for planning can obtain the network planning in the following way, the customer service of each objective network grid experiences the planning value of index:
Device for planning is for target scene type corresponding to each objective network grid, and the target signature index that each target scene type is corresponding, for each objective network grid, target signature corresponding for this objective network grid in base values simulation value is referred to target value, and the preset computation model inputting customer service experience index corresponding to target scene type corresponding to this objective network grid obtains the planning value of the customer service experience index of this objective network grid.
207, after device for planning judges the network planning according to this planning value, whether the customer service experience index of target area reaches this desired value, if so, then performs step 208, if not, then performs step 209;
After device for planning obtains the planning value of customer service experience index of each objective network grid, after judging the network planning according to this planning value, whether the customer service experience index of target area reaches this desired value, if so, then performs step 208, if not, then step 209 is performed.
Particularly, after device for planning can judge the network planning in the following way, whether the customer service experience index of target area reaches desired value:
After the planning of device for planning statistics network, in target area, the customer service of each network grid experiences index, then judges that the customer service of target area is experienced index and whether reached desired value according to statistics.Such as, the desired value that device for planning is arranged is that the network grid web displaying time delay of in target area 80 percent is in 3 seconds, then device for planning is according to the web displaying time delay desired value of each network grid in statistics target area, whether calculate the percentage of the network grid station sum network grid of web displaying time delay value in 3 seconds again more than 80 percent, if so, then determine that the customer service of target area is experienced index and reached desired value.
Alternatively, in embodiments of the present invention, device for planning first can judge that whether this network planning is effective, after specifically can judging this network planning, whether the Consumer's Experience index gain of objective network grid is greater than preset threshold value, if be greater than, then device for planning determines that this network planning is effective, device for planning judges that the customer service of target area is experienced index and whether reached desired value again, if be less than, then device for planning determines that this network planning is invalid, and then after can determining this network planning, the customer service of target area experiences index miss the mark value.
208, the program results that the planning of device for planning output network is corresponding;
When the customer service experience index of target area after the device for planning determination network planning reaches this desired value, the program results that the planning of device for planning output network is corresponding.It should be noted that, the network planning in the embodiment of the present invention is the process of an iteration, device for planning can store iteration planning each time and take the concrete measures, comprise the Planning instrument of this planning, planning address, projecting parameter etc., program results corresponding to the network planning here includes the concrete measure of the network planning each time.
209, device for planning repeated execution of steps 203 to step 207.
When the customer service experience index of target area after the device for planning determination network planning does not reach this desired value, device for planning repeated execution of steps 203 to step 207.It should be noted that, this is the process of an iteration, the i.e. network planning each time, be all the identification based on the result of the last network planning, target area being carried out to network of problem grid, and according to the network of problem grid again identified, the target area after the last network planning planned again.
In the embodiment of the present invention, after the desired value of the customer service experience index in device for planning Offered target region, the network of problem grid of target area is determined according to desired value, positional information according to network of problem grid carries out the network planning by preset Planning instrument to target area, the base values simulation value of objective network grid is obtained by basis emulation, after the preset computation model experiencing index according to base values simulation value and customer service obtains the network planning, the customer service of each objective network grid experiences the planning value of index, after judging the network planning according to planning value, whether the customer service experience index of target area reaches desired value, if, the program results that then output network planning is corresponding, if not, then the target area after the network planning is planned again until the customer service of target area experiences index reach desired value.That is in this programme, device for planning carries out the network planning by preset Planning instrument to target area, makes the customer service of target area experience index and reaches the desired value preset, thus improve network, promote Consumer's Experience.
Secondly, in the invention process, device for planning can pass through number of ways problem identificatioin grid, improves the flexibility of scheme.
Again, in the embodiment of the present invention, preset computation model can be set up by device for planning, and provides a kind of embodiment setting up preset computation model, improves the realizability of scheme.
For the ease of understanding, with a practical application scene, the network plan method in the embodiment of the present invention is described below:
Device for planning sets up the computation model of the web displaying time delay (customer service experience index) of target area: after gathering the historical data of target area, call CHR Data Analysis functionality controls, resolve the CHR data generating lattice level, then, utilize longitude and latitude and time field, splicing MR and lattice level CHR, finally, again according to main Serving cell field in MR, cell-level traffic statistics data are spliced in lattice level CHR, complete the preliminary treatment of whole training data.Then scene partitioning is carried out, here be city and two, suburb scene by Data Placement, respectively Feature Selection is carried out to the data in two scenes, the major effect feature (characteristic index) that urban settings is chosen is: Ec/No, Cell Dedicated Channel User number, community mean carrier transmitting power, the major effect feature (characteristic index) that suburb scene is chosen is: Ec/No, single user rate capacity on grid; Then, use data and the major effect feature of different scene respectively, set up web displaying latency prediction model with broad sense phase computation system and obtain model A corresponding to urban settings and Model B corresponding to suburb scene.
The desired value of the Consumer's Experience index of device for planning Offered target regional aim is that in region, 80% network grid web displaying time delay is in 3s, and Planning instrument is carrier wave dilatation, and the number of carriers that single planning increases is one.
Device for planning determine telephone traffic in target area be greater than 0.2 have first network grid, second network grid and the 3rd network grid (effective grid), wherein the web displaying time delay of first network grid is 2s, the web displaying time delay of second network grid is 3.5s, the web displaying time delay value of the 3rd network grid is 3.2s, device for planning is using second network grid and the 3rd network grid as network of problem grid, and the priority arranging second network grid is higher than the 3rd network grid.
The main Serving cell of device for planning determination second network grid, is associated corresponding website A, carries out carrier wave dilatation, utilize algorithm to increase a carrier wave on problem site A.The grid that device for planning is determined to increase this carrier wave and can be affected is second network grid (objective network grid), emulated by basis, obtain the Ec/No planning rear second network grid, Cell Dedicated Channel User number, single user rate capacity value on community mean carrier transmitting power and grid, the original Ec/No of second network grid is-5dB, Cell Dedicated Channel User number is 10, community mean carrier transmitting power is 40dBm, Cell Dedicated Channel User number is 0.5Mbps, after increasing a carrier wave, Ec/No becomes-2dB, Cell Dedicated Channel User number becomes 5, community mean carrier transmitting power becomes 38dBm, on grid, single user rate capacity becomes 1.2Mbps (simulation value of base values).
The scene type that device for planning determination second network grid is corresponding is urban settings (target scene type), and urban settings characteristic of correspondence index is Ec/No, Cell Dedicated Channel User Shuo Ji community mean carrier transmitting power (target signature index), target signature in the base values simulation value of second network grid is referred to target value (Ec/No:-2dB by device for planning, Cell Dedicated Channel User number: 5, community mean carrier transmitting power: 38dBm) be input in model A (customer service that target scene type is corresponding experiences the preset computation model of index), the web displaying time delay value obtaining second network grid is 0.5s (customer service experiences the planning value of index), namely the web displaying time delay gain of second network grid is 3s, be greater than preset gain value 2s, determine that this time planning effectively, the web displaying time delay value of each network grid in device for planning statistics target area, the percentage that the network grid that calculating web displaying time delay value is less than 3s accounts for does not reach 80%.
Device for planning, to the target area of having carried out after the above-mentioned network planning, carries out the identification of network of problem grid by similar method, the network of problem grid that this identifies is the 3rd network grid.Device for planning repeats above-mentioned means, and the association website B of the 3rd network grid increases a carrier wave, then carries out basis emulation, obtains the simulation value of the base values of the 3rd network grid after planning.Repeat the mode of above-mentioned calculating web displaying time delay value again, determine that the scene type that the 3rd network grid is corresponding is urban settings, the target signature of the 3rd network grid is referred to target value is input in model A that to obtain web displaying time delay value corresponding to the 3rd network grid be 0.5s, gain is 2.7s, determine that this time planning effectively, device for planning repeats above-mentioned judgment mode and determines that the network grid time delay value more than 80% is less than 3s, namely desired value is reached, device for planning exports program results: website A increases a carrier wave, and website B increases a carrier wave.
Be described above the network plan method in the embodiment of the present invention, introduce the device for planning corresponding with above-mentioned network plan method below, refer to Fig. 3, in the embodiment of the present invention, another embodiment of device for planning comprises:
Arrange module 301, the customer service for Offered target region experiences the desired value of index;
Determination module 302, for determining the network of problem grid of target area according to the desired value arranging module 301 setting;
Planning module 303, the positional information for the network of problem grid determined according to determination module 302 carries out the network planning by preset Planning instrument to target area;
Emulation module 304, for being obtained the simulation value of the base values of objective network grid by basis emulation, objective network grid is by the network grid that the network planning affects in target area;
Computing module 305, after the simulation value that preset computation model and emulation module 304 for experiencing index according to customer service obtain obtains the network planning, the customer service of each objective network grid experiences the planning value of index;
Judge module 306, after the planning value for obtaining according to computing module 305 judges the network planning, whether the customer service experience index of target area reaches desired value;
Output module 307, during for determining that when judge module 306 the customer service experience index of target area after the network planning reaches desired value, the program results that output network planning is corresponding;
Planning module 303, time also for determining that when judge module 306 customer service of target area after the network planning experiences index miss the mark value, the target area after the network planning is planned again until the customer service of target area experiences index reach desired value.
In the embodiment of the present invention, after the desired value of customer service experience index in module 301 Offered target region is set, determination module 302 determines the network of problem grid of target area according to desired value, planning module 303 carries out the network planning by preset Planning instrument to target area according to the positional information of network of problem grid, emulation module 304 obtains the base values simulation value of objective network grid by basis emulation, after computing module 305 obtains the network planning according to the preset computation model that base values simulation value and customer service experience index, the customer service of each objective network grid experiences the planning value of index, after judge module 306 judges the network planning according to planning value, whether the customer service experience index of target area reaches desired value, if, the program results that then planning of output module 307 output network is corresponding, if not, target area then after planning module 303 pairs of network plannings is planned again until the customer service of target area experiences index reach desired value.That is in this programme, device for planning carries out the network planning by preset Planning instrument to target area, makes the customer service of target area experience index and reaches the desired value preset, thus improve network, promote Consumer's Experience.
For the ease of understanding, be described in detail the device for planning in the embodiment of the present invention below, refer to Fig. 4, in the embodiment of the present invention, another embodiment of device for planning comprises:
Setting up module 408, experiencing the preset computation model of index for setting up customer service;
Arrange module 401, the customer service for Offered target region experiences the desired value of index;
Determination module 402, for determining the network of problem grid of target area according to the desired value arranging module 401 setting;
Planning module 403, the positional information for the network of problem grid determined according to determination module 402 carries out the network planning by preset Planning instrument to target area;
Emulation module 404, for being obtained the simulation value of the base values of objective network grid by basis emulation, objective network grid is by the network grid that the network planning affects in target area;
Computing module 405, after the simulation value that preset computation model and emulation module 404 for experiencing index according to customer service obtain obtains the network planning, the customer service of each objective network grid experiences the planning value of index;
Judge module 406, after the planning value for obtaining according to computing module 405 judges the network planning, whether the customer service experience index of target area reaches desired value;
Output module 407, during for determining that when judge module 406 the customer service experience index of target area after the network planning reaches desired value, the program results that output network planning is corresponding;
Planning module 403, time also for determining that when judge module 406 customer service of target area after the network planning experiences index miss the mark value, the target area after the network planning is planned again until the customer service of target area experiences index reach desired value.
Alternatively, in the embodiment of the present invention, planning module 403, can also be used for triggering determination module 402.
Alternatively, in the embodiment of the present invention, determination module 402 can also be used for determining that in target area, telephone traffic reaches the active block grid of preset threshold value, active block grid customer service is experienced index and reaches the network grid of desired value as network of problem grid; Or for determining that in target area, telephone traffic reaches the active block grid of preset threshold value, and telephone traffic does not reach the invalid network grid of preset threshold value, customer service in active block grid is experienced the network grid of index miss the mark value, and in invalid network grid coverage lower than the network grid of presetting range as network of problem grid.
Alternatively, in the embodiment of the present invention, set up the historical data that module 408 can also be used for obtaining each network grid in target area, according to historical data by each network grid division in different scene type, determine each scene type characteristic of correspondence index, for each scene type, by the value of characteristic index in historical data corresponding for all-network grid in this scene type, and customer service is experienced value corresponding to index and is carried out matching and obtain the preset computation model that customer service corresponding to this scene type experiences index;
Corresponding computing module 405 may be used for the target scene type determining that objective network grid is corresponding, and the target signature index that target scene type is corresponding, the target signature in the simulation value of objective network grid is referred to the preset computation model of the customer service experience index that target value input target scene type is corresponding obtains the planning value of the customer service experience index of objective network grid.
In the embodiment of the present invention, after the desired value of customer service experience index in module 401 Offered target region is set, determination module 402 determines the network of problem grid of target area according to desired value, planning module 403 carries out the network planning by preset Planning instrument to target area according to the positional information of network of problem grid, emulation module 404 obtains the base values simulation value of objective network grid by basis emulation, after computing module 405 obtains the network planning according to the preset computation model that base values simulation value and customer service experience index, the customer service of each objective network grid experiences the planning value of index, after judge module 406 judges the network planning according to planning value, whether the customer service experience index of target area reaches desired value, if, the program results that then planning of output module 407 output network is corresponding, if not, target area then after planning module 403 pairs of network plannings is planned again until the customer service of target area experiences index reach desired value.That is in this programme, device for planning carries out the network planning by preset Planning instrument to target area, makes the customer service of target area experience index and reaches the desired value preset, thus improve network, promote Consumer's Experience.
Secondly, in the embodiment of the present invention, determination module 402 can problem identificatioin network grid in several ways, improves the flexibility of scheme.
Again, in the embodiment of the present invention, preset computing module can be set up by setting up module 408, and embodiments provide set up that module 408 sets up preset computation model specifically set up mode, improve the realizability of scheme.
Those skilled in the art can be well understood to, and for convenience and simplicity of description, the system of foregoing description, the specific works process of device and unit, with reference to the corresponding process in preceding method embodiment, can not repeat them here.
In several embodiments that the application provides, should be understood that, disclosed system, apparatus and method, can realize by another way.Such as, device embodiment described above is only schematic, such as, the division of described unit, be only a kind of logic function to divide, actual can have other dividing mode when realizing, such as multiple unit or assembly can in conjunction with or another system can be integrated into, or some features can be ignored, or do not perform.Another point, shown or discussed coupling each other or direct-coupling or communication connection can be by some interfaces, and the indirect coupling of device or unit or communication connection can be electrical, machinery or other form.
The described unit illustrated as separating component or can may not be and physically separates, and the parts as unit display can be or may not be physical location, namely can be positioned at a place, or also can be distributed in multiple network element.Some or all of unit wherein can be selected according to the actual needs to realize the object of the present embodiment scheme.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, also can be that the independent physics of unit exists, also can two or more unit in a unit integrated.Above-mentioned integrated unit both can adopt the form of hardware to realize, and the form of SFU software functional unit also can be adopted to realize.
If described integrated unit using the form of SFU software functional unit realize and as independently production marketing or use time, can be stored in a computer read/write memory medium.Based on such understanding, the part that technical scheme of the present invention contributes to prior art in essence in other words or all or part of of this technical scheme can embody with the form of software product, this computer software product is stored in a storage medium, comprising some instructions in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) perform all or part of step of method described in each embodiment of the present invention.And aforesaid storage medium comprises: USB flash disk, portable hard drive, read-only memory (ROM, Read-OnlyMemory), random access memory (RAM, RandomAccessMemory), magnetic disc or CD etc. various can be program code stored medium.
The above, above embodiment only in order to technical scheme of the present invention to be described, is not intended to limit; Although with reference to previous embodiment to invention has been detailed description, those of ordinary skill in the art is to be understood that: it still can be modified to the technical scheme described in foregoing embodiments, or carries out equivalent replacement to wherein portion of techniques feature; And these amendments or replacement, do not make the essence of appropriate technical solution depart from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (12)
1. a network plan method, is characterized in that, comprising:
The customer service in device for planning Offered target region experiences the desired value of index;
1) described device for planning determines the network of problem grid of described target area according to described desired value;
2) described device for planning carries out the network planning by preset Planning instrument to described target area according to the positional information of described network of problem grid;
3) described device for planning obtains the simulation value of the base values of objective network grid after the described network planning by basis emulation, and described objective network grid is by the network grid that the described network planning affects in described target area;
4) after described device for planning obtains the described network planning according to the preset computation model that described simulation value and described customer service experience index, the described customer service of each objective network grid experiences the planning value of index;
5) after described device for planning judges the described network planning according to described planning value, whether the customer service experience index of described target area reaches described desired value;
If so, then described device for planning exports program results corresponding to the described network planning;
If not, then described device for planning is planned the target area after the described network planning again until the customer service of described target area experiences index reach described desired value.
2. method according to claim 1, is characterized in that, described device for planning is planned again to the network after described planning until the customer service of described target area experiences index reaches described desired value and comprise:
Described device for planning repeated execution of steps 1) to step 5).
3. method according to claim 1 and 2, is characterized in that, according to described desired value, described device for planning determines that the network of problem grid of described target area comprises:
Described device for planning determines that in described target area, telephone traffic reaches the active block grid of preset threshold value;
Customer service described in described active block grid is experienced index and is not reached the network grid of described desired value as network of problem grid by described device for planning.
4. method according to claim 1 and 2, is characterized in that, according to described desired value, described device for planning determines that the network of problem grid of described target area comprises:
Described device for planning determines that in described target area, telephone traffic reaches the active block grid of preset threshold value, and described telephone traffic does not reach the invalid network grid of preset threshold value;
Customer service described in described active block grid is experienced index and is not reached the network grid of described desired value by described device for planning, and in described invalid network grid coverage lower than the network grid of presetting range as network of problem grid.
5. method according to claim 1 and 2, is characterized in that, described method also comprises:
Described device for planning sets up the preset computation model that described customer service experiences index.
6. method according to claim 5, is characterized in that, described device for planning is set up described customer service experience index model and comprised:
Described device for planning obtains the historical data of base values described in each network grid in described target area;
Described device for planning according to described historical data by each network grid division described in different scene type;
Described device for planning determines each scene type characteristic of correspondence index;
Described device for planning is for each scene type described, by the value of characteristic index described in historical data corresponding for all-network grid in this scene type, and described customer service is experienced value corresponding to index and is carried out matching and obtain the preset computation model that described customer service corresponding to this scene type experiences index;
The planning value that after described device for planning obtains the described network planning according to the preset computation model that described simulation value and customer service experience index, the described customer service of each objective network grid experiences index comprises:
Described device for planning determines the target scene type that described objective network grid is corresponding and the target signature index that described target scene type is corresponding;
Described target signature in the described simulation value of described objective network grid is referred to that target value inputs the planning value that described customer service that preset computation model that described customer service corresponding to described target scene type experience index obtains described objective network grid experiences index by described device for planning.
7. a network planning device, is characterized in that, comprising:
Arrange module, the customer service for Offered target region experiences the desired value of index;
Determination module, for determining the network of problem grid of described target area according to the described desired value arranging module installation;
Planning module, the positional information for the network of problem grid determined according to described determination module carries out the network planning by preset Planning instrument to described target area;
Emulation module, for being obtained the simulation value of the base values of objective network grid after the described network planning by basis emulation, described objective network grid is the network grid that the network planning undertaken by described planning module in described target area affects;
Computing module, after the simulation value that preset computation model and described emulation module for experiencing index according to customer service obtain obtains the described network planning, the described customer service of each objective network grid experiences the planning value of index;
Judge module, after the planning value for obtaining according to described computing module judges the described network planning, whether the customer service experience index of described target area reaches described desired value;
Output module, during for determining that when described judge module the customer service experience index of described target area after the described network planning reaches described desired value, exports the program results that the described network planning is corresponding;
Described planning module, time also for determining that when described judge module the customer service experience index of described target area after the described network planning does not reach described desired value, the target area after the described network planning is planned again until the customer service of described target area experiences index reach described desired value.
8. device according to claim 7, is characterized in that, described planning module is also for determination module described in repeated trigger.
9. the device according to claim 7 or 8, is characterized in that,
Described determination module, also for determining that in described target area, telephone traffic reaches the active block grid of preset threshold value;
Described determination module, also reaches the network grid of described desired value as network of problem grid for customer service described in described active block grid is experienced index.
10. the device according to claim 7 or 8, is characterized in that,
Described determination module, also for determining that in described target area, telephone traffic reaches the active block grid of preset threshold value, and described telephone traffic does not reach the invalid network grid of preset threshold value;
Described determination module, does not also reach the network grid of described desired value for customer service described in described active block grid is experienced index, and in described invalid network grid coverage lower than the network grid of presetting range as network of problem grid.
11. devices according to claim 7 or 8, it is characterized in that, described device also comprises:
Setting up module, experiencing the preset computation model of index for setting up described customer service.
12. devices according to claim 11, is characterized in that,
Describedly set up module, also for obtaining the historical data of each network grid in described target area;
Describedly set up module, also for according to described historical data by each network grid division described in different scene type;
Describedly set up module, also for determining each scene type characteristic of correspondence index;
Describedly set up module, also for for each scene type described, by the value of characteristic index described in historical data corresponding for all-network grid in this scene type, and described customer service is experienced value corresponding to index and is carried out matching and obtain the preset computation model that described customer service corresponding to this scene type experiences index;
Described computing module, also for determining the target scene type that described objective network grid is corresponding, and the target signature index that described target scene type is corresponding;
Described computing module, also for the described target signature in the described simulation value of described objective network grid being referred to target value inputs the planning value that described customer service that preset computation model that described customer service corresponding to described target scene type experience index obtains described objective network grid experiences index.
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107171831A (en) * | 2017-04-28 | 2017-09-15 | 华为技术有限公司 | Network deployment method and device |
| CN107547154A (en) * | 2016-06-23 | 2018-01-05 | 华为技术有限公司 | A kind of method and device for establishing video traffic prediction model |
| CN108429627A (en) * | 2017-02-13 | 2018-08-21 | 中国移动通信集团贵州有限公司 | broadband access planning method and device |
| CN108901036A (en) * | 2018-07-04 | 2018-11-27 | 广东海格怡创科技有限公司 | Method of adjustment, device, computer equipment and the storage medium of subzone network parameter |
| CN112333712A (en) * | 2019-08-05 | 2021-02-05 | 中国移动通信集团设计院有限公司 | Network planning resource processing method and device |
| CN112954728A (en) * | 2019-12-11 | 2021-06-11 | 中国移动通信集团山东有限公司 | Network thickness evaluation method and device, storage medium and computer equipment |
| CN114257957A (en) * | 2021-12-09 | 2022-03-29 | 北京东土拓明科技有限公司 | Network planning method and device, computing equipment and computer readable storage medium |
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| CN114760637A (en) * | 2020-12-25 | 2022-07-15 | 中国联合网络通信集团有限公司 | Cell capacity expansion method and device |
| CN115174416A (en) * | 2022-07-12 | 2022-10-11 | 中国电信股份有限公司 | Network planning system, method and device and electronic equipment |
| CN115174416B (en) * | 2022-07-12 | 2024-04-12 | 中国电信股份有限公司 | Network planning system, method and device and electronic equipment |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008123809A1 (en) * | 2007-04-04 | 2008-10-16 | Telefonaktiebolaget Lm Ericsson (Publ) | Method and arrangement for improved radio network planning, simulation and analyzing in telecommunications |
| CN102083079A (en) * | 2009-11-27 | 2011-06-01 | 中国移动通信集团设计院有限公司 | Wireless network simulation method and device |
| CN102487516A (en) * | 2010-12-06 | 2012-06-06 | 中兴通讯股份有限公司 | Method and device for performing automatic plot planning optimization by utilizing drive test data |
| CN102523590A (en) * | 2012-01-05 | 2012-06-27 | 北京邮电大学 | Planning method of multi-system intelligent configurable wireless network |
| CN102542084A (en) * | 2010-12-22 | 2012-07-04 | 中国移动通信集团设计院有限公司 | Network status emulation method and equipment utilizing same |
| CN102625322A (en) * | 2012-02-27 | 2012-08-01 | 北京邮电大学 | Multi-mode intelligent configurable method for implementing optimization of wireless network |
| CN103379510A (en) * | 2012-04-23 | 2013-10-30 | 中兴通讯股份有限公司 | Method and device for carrying out district planning through MR data |
| CN104980950A (en) * | 2014-04-03 | 2015-10-14 | 中国移动通信集团浙江有限公司 | Network optimization server, mobile device of realizing network optimization and system of realizing network optimization |
-
2015
- 2015-10-23 CN CN201510697844.0A patent/CN105376089B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008123809A1 (en) * | 2007-04-04 | 2008-10-16 | Telefonaktiebolaget Lm Ericsson (Publ) | Method and arrangement for improved radio network planning, simulation and analyzing in telecommunications |
| CN102083079A (en) * | 2009-11-27 | 2011-06-01 | 中国移动通信集团设计院有限公司 | Wireless network simulation method and device |
| CN102487516A (en) * | 2010-12-06 | 2012-06-06 | 中兴通讯股份有限公司 | Method and device for performing automatic plot planning optimization by utilizing drive test data |
| CN102542084A (en) * | 2010-12-22 | 2012-07-04 | 中国移动通信集团设计院有限公司 | Network status emulation method and equipment utilizing same |
| CN102523590A (en) * | 2012-01-05 | 2012-06-27 | 北京邮电大学 | Planning method of multi-system intelligent configurable wireless network |
| CN102625322A (en) * | 2012-02-27 | 2012-08-01 | 北京邮电大学 | Multi-mode intelligent configurable method for implementing optimization of wireless network |
| CN103379510A (en) * | 2012-04-23 | 2013-10-30 | 中兴通讯股份有限公司 | Method and device for carrying out district planning through MR data |
| CN104980950A (en) * | 2014-04-03 | 2015-10-14 | 中国移动通信集团浙江有限公司 | Network optimization server, mobile device of realizing network optimization and system of realizing network optimization |
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