CN101431758A - Method and apparatus for predicting user position distribution - Google Patents
Method and apparatus for predicting user position distribution Download PDFInfo
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- CN101431758A CN101431758A CNA200810218368XA CN200810218368A CN101431758A CN 101431758 A CN101431758 A CN 101431758A CN A200810218368X A CNA200810218368X A CN A200810218368XA CN 200810218368 A CN200810218368 A CN 200810218368A CN 101431758 A CN101431758 A CN 101431758A
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Abstract
The invention discloses a method for predicting user position distribution, including the followings: measuring reports of a terminal in a target cell reported in preset time are obtained; according to the subsection threshold value of received signal quality preset by the target cell, the number of measuring reports that parameters of the received signal quality of the target cell fall in each subsection interval of the target cell is counted; according to the total number of the obtained measuring reports and the number of measuring reports that parameters of the received signal quality of the target cell fall in each subsection interval of the target cell, the distribution probability in each subsection interval of the target cell is obtained; according to the subsection threshold value of received signal quality preset by the target cell and the distributed model of the predicted received signal quality of the target cell, the area covered by the target cell is divided; according to the distribution probability of the user in each subsection interval of the target cell, the user position distribution in divided area covered by the target cell is performed so that the user distribution can reflect actual network conditions.
Description
Technical field
The present invention relates to communication technical field, relate in particular to a kind of method and apparatus of predictive user position distribution.
Background technology
The common network planning and other design tools for Aided Design and planning, can be set up user model, wherein mainly comprise the telephone traffic of use voice service when doing and the throughput of data service, also have the distribution of user on the geographical position.Important feature of mobile network, the position that is exactly the user are mobile variable.From design angle, the change of customer location directly can influence the network coverage and capacity, therefore to the simulation quality of customer location, can directly influence the confidence level of the network planning and design output scheme.
Prior art when generating user location distribution, the position that in the zone around the base station, produces user distribution at random according to the density of population.
In realizing process of the present invention, the inventor finds that the prior art scheme has following problem at least:
The user location distribution that the prior art scheme generates can not reflect the true regularity of distribution of user under the real network.
Summary of the invention
Embodiments of the invention provide a kind of method and apparatus of predictive user position distribution, so that the user location distribution that generates can reflect the true regularity of distribution of user under the real network.
The invention provides a kind of method of predictive user position distribution, comprising:
Obtain the measurement report that the terminal in the Target cell scope reports in the given time;
The received signal quality sectional door limit value default according to Target cell, the received signal quality parameter of adding up described Target cell falls into the interior measurement report number of each piecewise interval of Target cell;
Fall into measurement report number in each piecewise interval of Target cell according to the sum of the measurement report that obtains and the received signal quality parameter of described Target cell, obtain the distribution probability of user in each piecewise interval of described Target cell;
According to the default received signal quality sectional door limit value of described Target cell and the Target cell received signal quality distributed model of prediction the zone that Target cell covers is divided;
Carrying out user location distribution in the zone according to the described Target cell covering of the distribution probability of described user in each piecewise interval of described Target cell after division generates.
The present invention also provides a kind of device of predictive user position distribution, comprising:
The measurement report acquisition module is used to obtain the measurement report that the terminal in the Target cell scope reports in the given time;
The first measurement report analysis module is used for the received signal quality sectional door limit value default according to Target cell, and the received signal quality parameter of adding up described Target cell falls into the interior measurement report number of each piecewise interval of Target cell;
The first distribution probability generation module, be used for falling into the interior measurement report number of each piecewise interval of Target cell, obtain the distribution probability of user in each piecewise interval of described Target cell according to the sum of the measurement report that obtains and the received signal quality parameter of described Target cell;
Module is divided in first overlay area, is used for according to the default received signal quality sectional door limit value of described Target cell and the Target cell received signal quality distributed model of prediction the zone that Target cell covers being divided;
The first user location distribution generation module carries out user location distribution in the zone that is used for covering according to the described Target cell of the distribution probability of described user in each piecewise interval of described Target cell after division and generates.
Compare with the prior art scheme, embodiments of the invention have utilized the statistics of the measurement report in the network in the process of predictive user position distribution, make the final user location distribution that generates can reflect the true regularity of distribution of user under the real network.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art, to do to introduce simply to the accompanying drawing of required use among the embodiment below, apparently, accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is in the embodiment of the invention one, the method flow schematic diagram of predictive user position distribution;
Fig. 2 is in the embodiment of the invention two, the method flow schematic diagram of predictive user position distribution;
Fig. 3 is in the embodiment of the invention three, Target cell received signal quality distributed model schematic diagram;
Fig. 4 is in the embodiment of the invention four, Target cell and adjacent area received signal quality distributed model schematic diagram thereof;
Fig. 5 is in the embodiment of the invention five, the apparatus structure schematic diagram of predictive user position distribution.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the invention, the technical scheme in the embodiment of the invention is clearly and completely described, obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills belong to the scope of protection of the invention not making the every other embodiment that is obtained under the creative work prerequisite.
Embodiments of the invention provide a kind of method of predictive user position distribution, make the final user location distribution that generates more can reflect the true regularity of distribution of user under the real network.For making technical scheme of the present invention and advantage clearer, embodiments of the invention are described in further detail below in conjunction with accompanying drawing.
Embodiments of the invention one relate to a kind of method of predictive user position distribution, as shown in Figure 1, may further comprise the steps:
S101: obtain the measurement report that the terminal in the Target cell scope reports in the given time;
Obtaining above-mentioned measurement report can be the measurement report of collecting the terminal to report in the Target cell scope within the predetermined time from existing network;
Or, from the measurement report storage entities, filter out the measurement report that the terminal in the described Target cell scope reports according to preset time parameter and Target Cell Identifier in the described scheduled time.
Can record the received signal quality parameter of Target cell and/or the received signal quality parameter of adjacent area in the above-mentioned measurement report.
S102: the received signal quality sectional door limit value default according to Target cell, the received signal quality parameter of adding up described Target cell falls into the interior measurement report number of each piecewise interval of Target cell; The measurement report of adding up among the step S102 can comprise the received signal quality parameter of adjacent area, also can not comprise the received signal quality parameter of adjacent area.
S103: fall into measurement report number in each piecewise interval of Target cell according to the sum of the measurement report that obtains and the received signal quality parameter of described Target cell, obtain the distribution probability of user in each piecewise interval of described Target cell;
S104: the zone that Target cell covers is divided according to the default received signal quality sectional door limit value of described Target cell and the Target cell received signal quality distributed model of prediction;
S105: carry out user location distribution in the zone according to the described Target cell covering of the distribution probability of described user in each piecewise interval of described Target cell after division and generate.The zone that step S105 carries out the Target cell covering of user location distribution generation can comprise Target cell and adjacent area covering overlapping areas, also can not comprise Target cell and adjacent area covering overlapping areas.
Wherein, specifically comprise:
Obtain the actual while service-user number or the while of the prediction after the described Target cell dilatation service-user number of described Target cell;
The distribution probability in each piecewise interval of described Target cell according to described number of users and described user, in the zone that the Target cell of described each piecewise interval correspondence covers, carry out position distribution respectively at random and generate, or carry out position distribution according to certain constraints and generate.
When carrying out the user location distribution generation, can also introduce terrestrial object information constraints.
Embodiments of the invention one have utilized the statistics of the measurement report in the network in the process of predictive user position distribution, make the final user location distribution that generates can reflect the true regularity of distribution of user under the real network.
Embodiment one does not consider the influence of adjacent area to user location distribution, embodiments of the invention two relate to a kind of method of predictive user position distribution, on the basis of embodiment one, increased user location distribution prediction steps to Target cell and adjacent area covering overlapping area, this moment, step S102 only added up the received signal quality parameter that comprises Target cell, and other step of quantity of measurement report of received signal quality parameter that does not comprise the adjacent area is identical with embodiment one, and is specific as follows to the user location distribution prediction steps of Target cell and adjacent area covering overlapping area:
S201: obtain the measurement report that the terminal in the Target cell scope reports in the given time;
Obtaining above-mentioned measurement report can be the measurement report of collecting the terminal to report in the Target cell scope within the predetermined time from existing network;
Or, from the measurement report storage entities, filter out the measurement report that the terminal in the described Target cell scope reports according to preset time parameter and Target Cell Identifier in the described scheduled time.
S202: the received signal quality sectional door limit value default according to the adjacent area of described Target cell, the received signal quality parameter of adding up described Target cell falls into the interior measurement report of each piecewise interval of Target cell, and the received signal quality parameter of adjacent area falls into the measurement report number in each piecewise interval of adjacent area;
S203: sum and the described measurement report number that falls in each piecewise interval of adjacent area according to the described measurement report that obtains, obtain user's distribution probability in each piecewise interval of adjacent area in each piecewise interval of Target cell;
S204: the adjacent area received signal quality distributed model according to the Target cell of default received signal quality sectional door limit value in the adjacent area of described Target cell and prediction is divided Target cell and adjacent area covering overlapping areas;
S205:, carry out user location distribution in the described covering overlapping areas after division and generate according to described user distribution probability in each piecewise interval of adjacent area in each piecewise interval of Target cell.
In embodiment two, in the S102 step, do not comprise the measurement report of the received signal quality parameter that records the adjacent area in the measurement report of statistics; In the S105 step, the zone that Target cell covers does not comprise that Target cell and adjacent area cover overlapping areas.
Embodiments of the invention two are in the process of predictive user position distribution, utilized the statistics of the measurement report in the network, make the final user location distribution that generates to reflect the true regularity of distribution of user under the real network, and considered the influence of adjacent area to user location distribution, making predicts the outcome can reflect the true regularity of distribution of user under the real network more.
Embodiment three, four is an example with the GSM network, elaborates the method for predictive user position distribution of the present invention:
Embodiment three:
S301: obtain measurement report;
When obtaining measurement report, need to set the cell range of image data, can be the combination of certain sub-district or some sub-district.Set acquisition time, for example in order to reflect user distribution model when busy, this time period can be set to its time period when busy.
Certainly, obtaining above-mentioned measurement report can be the measurement report of collecting the terminal to report in the Target cell scope within the predetermined time from existing network;
Or, from the measurement report storage entities, filter out the measurement report that the terminal in the described Target cell scope reports according to preset time parameter and Target Cell Identifier in the described scheduled time.
S302: the measurement report that obtains is analyzed according to measurement index and the segment threshold set;
For the analysis to measure report, at first need setting measurement index and segment threshold, the measurement index here can comprise the received signal quality parameter, specific to the GSM network, can select to connect RSSI (Received SignalStrength Indicator, the indication of received signal intensity) as the received signal quality parameter, corresponding, the segmentation number of setting RSSI and concrete sectional door limit value.The segmentation number can be provided with according to actual conditions, for example in order to make distribution milder and detailed, more segmentation can be set, but the device processes that needs load and time ratio are more.The RSSI that can comprise the adjacent area in the above-mentioned measurement report also can not comprise the RSSI of adjacent area;
After configuring measurement index and segment threshold, with the sub-district is unit, the measurement data of obtaining is carried out preliminary treatment, screen out invalid data, compare and measure the RSSI that puts down in writing in the report and the threshold value of setting, statistics RSSI falls into the measurement report number in each piecewise interval, and then obtains the distribution probability of user in each piecewise interval of Target cell, for instance, suppose 4 segmentations are arranged, concrete sectional door limit value (unit is dBm) is as follows :-40 ,-80 ,-90,-100,-120, obtain the measurement report number that falls into each segmentation and be respectively: M1, M2......M4, and total measurement report number M=(M1+......M4), i=1 ... 4, the probability distribution that the user is positioned at each segmentation is: P (segmentation i)=Mi/M.
S303: the Target cell measurement index distributed model according to the measurement index of setting and segment threshold and prediction is divided the zone that Target cell covers;
For gsm system, utilization is based on the prediction and calculation of geography information and propagation model, obtain Target cell received signal quality distributed model as shown in Figure 3, according to the received signal quality segment threshold, the area dividing that Target cell covered is become several zones, as figure (90,80) regional corresponding received signal quality segment threshold (90dBm,-80dBm), promptly the RSSI value that the measurement report of reporting of user records in this zone be positioned at segment threshold (90dBm ,-80dBm) in.
S304: carry out user location distribution in the zone according to the Target cell covering of the distribution probability of user in each piecewise interval of Target cell after division and generate.
At first, obtain the actual while service-user number of Target cell; Certainly, if for the system after the dilatation is predicted, can also be the prediction service-user number simultaneously that obtains after the Target cell dilatation;
According to the number of users and the distribution probability of user in each piecewise interval of Target cell of above-mentioned acquisition, in the zone that the Target cell of each piecewise interval correspondence covers, carry out position distribution respectively at random and generate, or carry out position distribution according to certain constraints and generate.
The zone that step S304 carries out the Target cell covering of user location distribution generation can comprise Target cell and adjacent area covering overlapping areas, also can not comprise Target cell and adjacent area covering overlapping areas.
It is as shown in table 1 for example to add up the measurement report number that falls into each piecewise interval of Target cell:
Table 1 RSSI falls into the measurement report number of each piecewise interval of Target cell
The areal survey newspaper
Target cell segmentation segmentation limit (dBm)
Accuse number
Segmentation 1 2000 (120 ,-100)
Segmentation 2 2000 (100 ,-90)
Segmentation 3 3000 (90 ,-80)
Segmentation 4 1000 (80 ,-40)
The user is positioned at (90dBm as shown in Figure 3 as shown in Table 1,-80dBm) probability of corresponding overlay area is 3/8, if the Target cell that obtains service-user number simultaneously is 1000, be positioned at (90dBm so,-80dBm) number of users of corresponding overlay area is 375, select at random (90dBm ,-80dBm) coordinate figure in the corresponding overlay area is as these 375 user position information.In order to reflect actual conditions more accurately, also can carry out position distribution and generate, for example according to existing terrestrial object information constraints (landform, landforms, the density of population), for the user generates positional information according to certain constraints.The customer location generation method of other overlay area is similar with said method, repeats no more here.
Embodiments of the invention two have utilized the statistics of the measurement report in the network in the process of predictive user position distribution, make the final user location distribution that generates can reflect the true regularity of distribution of user under the real network.
Do not consider the influence of adjacent area among the embodiment three, will on the basis of embodiment three, increase user location distribution prediction among the embodiment four Target cell and adjacent area covering overlapping area to user location distribution.
Embodiment four:
S401: obtain measurement report;
When obtaining measurement report, need to set the cell range of image data, can be the combination of certain sub-district or some sub-district.Set acquisition time, for example in order to reflect user distribution model when busy, this time period can be set to its time period when busy.
Certainly, obtaining above-mentioned measurement report can be the measurement report of collecting the terminal to report in the Target cell scope within the predetermined time from existing network;
Or, from the measurement report storage entities, filter out the measurement report that the terminal in the described Target cell scope reports according to preset time parameter and Target Cell Identifier in the described scheduled time.
S402: the measurement report that obtains is analyzed according to measurement index and the segment threshold set;
For the analysis to measure report, at first need setting measurement index and segment threshold, the measurement index here can comprise the received signal quality parameter, specific to the GSM network, can select to connect RSSI (Received SignalStrength Indicator, the indication of received signal intensity) as the received signal quality parameter, corresponding, the segmentation number of the RSSI of target setting sub-district and concrete sectional door limit value.Also the adjacent area of Target cell is carried out simultaneously the setting (as shown in table 3) of corresponding segment threshold value, certainly the segmentation number of the segmentation number of adjacent area and Target cell can be identical also can be inequality, above-mentioned segmentation number can be provided with according to actual conditions, for example, in order to make distribution milder and detailed, more segmentation can be set, but the device processes that needs load and time ratio are more.
After configuring measurement index and segment threshold, with the sub-district is unit, the measurement data of obtaining is carried out preliminary treatment, screen out invalid data, compare and measure the RSSI that puts down in writing in the report and the threshold value of setting, statistics RSSI falls into each piecewise interval of Target cell and interior measurement report number, and the RSSI of Target cell falls into the measurement report in each piecewise interval of Target cell, the RSSI of adjacent area falls into the measurement report number in each piecewise interval of adjacent area, and then obtains the distribution probability of user in each piecewise interval of Target cell, and user's distribution probability in each piecewise interval of adjacent area in each piecewise interval of Target cell.
With example explanation, the Target cell in the example has an adjacent area below, has the situation of a plurality of adjacent areas and following process similar, repeats no more herein:
Suppose and obtained 8000 effective measurement reports altogether, it is as shown in table 2 that the RSSI that obtains according to segment threshold statistics falls into the measurement report number of each piecewise interval of Target cell, only comprises the RSSI of Target cell in the measurement report of table 2 statistics.
Table 2 RSSI falls into the measurement report number (measurement report that does not comprise the RSSI of adjacent area) of each piecewise interval of Target cell
The areal survey newspaper
Target cell segmentation segmentation limit (dBm)
Accuse number
Segmentation 1 750 (120 ,-100)
Segmentation 2 450 (100 ,-90)
Segmentation 3 2200 (90 ,-80)
Segmentation 4 100 (80 ,-40)
The segmentation setting of table 3 Target cell adjacent area
Adjacent area segmentation segmentation limit (dBm)
Segmentation 1 (120 ,-100)
Segmentation 2 (100 ,-90)
Segmentation 3 (90 ,-80)
Segmentation 4 (80 ,-40)
It is as shown in table 4 that the measurement report that promptly comprise the RSSI of Target cell, comprises the RSSI of adjacent area again falls into the quantity of each adjacent area piecewise interval:
Table 4 RSSI falls into the measurement report in each piecewise interval of Target cell, and the RSSI of adjacent area falls into the measurement report number in each piecewise interval of adjacent area
The segmentation adjacent area segmentation of segmentation adjacent area, adjacent area
Adjacent area segmentation 1
Target cell segmentation 2 is measured newspaper 3 and is measured newspaper 4 measurement newspapers
The measurement report number
Accuse number and accuse number announcement number
Segmentation 1 200 500 550
Segmentation 2 300 500 300 450
Segmentation 3 200 400 200
Segmentation 4 300 200 200 200
S403: the Target cell measurement index distributed model according to the measurement index of setting and segment threshold and prediction is divided the zone that Target cell covers, and according to the adjacent area received signal quality distributed model of the Target cell of default received signal quality sectional door limit value in the adjacent area of described Target cell and prediction Target cell and adjacent area covering overlapping areas is divided;
For gsm system, utilization is based on the prediction and calculation of geography information and propagation model, obtain as shown in Figure 4 Target cell and adjacent area received signal quality distributed model thereof, according to Target cell received signal quality segment threshold, the area dividing that Target cell covered is become several zones, as figure (90,80) regional corresponding received signal quality segment threshold (90dBm,-80dBm), promptly the RSSI value that the measurement report of reporting of user records in this zone be positioned at segment threshold (90dBm ,-80dBm) in; This zone and adjacent area cover overlapping part and divide according to adjacent area received signal quality segment threshold.
S404: carry out user location distribution in the zone according to the Target cell covering of the distribution probability of user in each piecewise interval of Target cell after division and generate, the zone that the Target cell after dividing here covers does not comprise and the adjacent area covers overlapping areas; According to described user distribution probability in each piecewise interval of adjacent area in each piecewise interval of Target cell, carry out user location distribution in the described covering overlapping areas after division and generate.
As shown in Table 2, the user is positioned at (90dBm as shown in Figure 4,-80dBm) probability of corresponding overlay area A (do not comprise with the adjacent area and cover overlapping areas) is 11/40, if the Target cell that obtains while service-user number is that 1000 numbers of users that are positioned at the a-quadrant so are 275; Equally as shown in Table 4, the user is positioned at Target cell piecewise interval (90dBm as shown in Figure 4,-80dBm) with its adjacent area piecewise interval (100dBm,-90dBm) probability of corresponding covering overlapping area B is 400/8000=1/20, if the Target cell that obtains while service-user number is that 1000 numbers of users that are positioned at the B zone so are 50.Select coordinate figure in the a-quadrant as 275 user position information at random, select coordinate figure in the B zone at random as 50 user position information.In order to reflect actual conditions more accurately, also can carry out position distribution and generate, for example according to existing terrestrial object information constraints (landform, landforms, the density of population), for the user generates positional information according to certain constraints.The customer location generation method of other overlay area is similar with said method, repeats no more here.
Embodiments of the invention four are in the process of predictive user position distribution, utilized the statistics of the measurement report in the network, make the final user location distribution that generates to reflect the true regularity of distribution of user under the real network, and considered the influence of adjacent area to user location distribution, making predicts the outcome can reflect the true regularity of distribution of user under the real network more
Certainly, the method of predictive user position distribution of the present invention also can apply to other communication system, as WCDMA, Wimax, TD-SCDMA, CDMA, CDMA2000, communication systems such as LTE, in specific implementation process, because the concrete parameter that the received signal quality parameter of other system communication system is adopted, sub-district received signal quality distributed model and embodiment three, GSM system difference in four, can replace above-mentioned parameter according to the characteristics of each system, as specifically in the WCDMA system, can use RSCP (Received Signal Code Power, received signal code power) to replace RSSI.
Embodiments of the invention five provide a kind of device of predictive user position distribution, as shown in Figure 5, comprising:
Measurement report acquisition module 101 is used to obtain the measurement report that the terminal in the Target cell scope reports in the given time;
The first measurement report analysis module 102 is used for the received signal quality sectional door limit value default according to Target cell, and the received signal quality parameter of adding up described Target cell falls into the interior measurement report number of each piecewise interval of Target cell;
The first distribution probability generation module 103, be used for falling into the interior measurement report number of each piecewise interval of Target cell, obtain the distribution probability of user in each piecewise interval of described Target cell according to the sum of the measurement report that obtains and the received signal quality parameter of described Target cell;
Module 104 is divided in first overlay area, is used for according to the default received signal quality sectional door limit value of described Target cell and the Target cell received signal quality distributed model of prediction the zone that Target cell covers being divided;
The first user location distribution generation module 105 carries out user location distribution in the zone that is used for covering according to the described Target cell of the distribution probability of described user in each piecewise interval of described Target cell after division and generates.
Wherein, the first user location distribution generation module 105 can also comprise:
The number of users acquisition module is used to obtain the actual while service-user number of described Target cell or the prediction after described Target cell dilatation service-user number simultaneously;
The position distribution module, be used for the distribution probability in each piecewise interval of described Target cell according to described number of users and described user, in the zone that the Target cell of described each piecewise interval correspondence covers, carry out position distribution respectively at random and generate, or carry out position distribution according to certain constraints and generate.
If consider the influence that the adjacent area generates user distribution, the device of embodiment five can also comprise:
The second measurement report analysis module 106, be used for the received signal quality sectional door limit value default according to the adjacent area of described Target cell, the received signal quality parameter of adding up described Target cell falls into the interior measurement report of each piecewise interval of Target cell, and the received signal quality parameter of adjacent area falls into the measurement report number in each piecewise interval of adjacent area;
The second distribution probability generation module 107 is used for sum and the described measurement report number that falls in each piecewise interval of adjacent area according to the described measurement report that obtains, obtains user's distribution probability in each piecewise interval of adjacent area in each piecewise interval of Target cell;
Module 108 is divided in second overlay area, is used for according to the adjacent area received signal quality distributed model of the Target cell of default received signal quality sectional door limit value in the adjacent area of described Target cell and prediction Target cell and adjacent area covering overlapping areas being divided;
The second user location distribution generation module 109 is used for the distribution probability in each each piecewise interval of piecewise interval adjacent area of Target cell according to described user, carries out user location distribution in the described covering overlapping areas after division and generates.
Wherein, the measurement report that does not comprise the received signal quality parameter that records the adjacent area in the measurement report of the first measurement report analysis module, 102 statistics;
The zone that the described first user location distribution generation module 105 carries out the Target cell covering of user location distribution generation does not comprise that Target cell and adjacent area cover overlapping areas.
Wherein, the second user location distribution generation module 109 can also comprise:
The second number of users acquisition module is used to obtain the actual while service-user number of described Target cell or the prediction after described Target cell dilatation service-user number simultaneously; Certainly here can also with the shared first number of users acquisition module of the first user location distribution generation module.
Second place distribution module, be used for according to described number of users and described user at the distribution probability of described user in each each piecewise interval of piecewise interval adjacent area of Target cell, in the described covering overlapping areas of each piecewise interval correspondence of described adjacent area, carry out position distribution respectively at random and generate, or carry out the position distribution generation according to certain constraints.
When consider the adjacent area to user distribution generate influence the time, the described first measurement report analysis module 102 is only added up the received signal quality parameter that comprises Target cell and is not comprised the quantity of measurement report of the received signal quality parameter of adjacent area; Carry out user location distribution in the zone of the first user location distribution generation module 105 according to the Target cell covering of the distribution probability of user in each piecewise interval of Target cell after division and generate, the zone that the Target cell after wherein dividing covers does not comprise and the adjacent area covers overlapping areas.
The device of embodiment five can also comprise:
The terrestrial object information memory module when being used to user location distribution generation module (the first user location distribution generation module or the second user location distribution generation module) to carry out the user location distribution generation, provides terrestrial object information constraints.
The device of the embodiment of the invention five can be positioned at the base station, also can be positioned at OMC (Operation andMaintenance Center, operation maintenance center).
The device of the embodiment of the invention five has utilized the statistics of the measurement report in the network, makes the final user location distribution that generates can reflect the true regularity of distribution of user under the real network.
It should be noted that among the said apparatus embodiment that each included module is just divided according to function logic, but is not limited to above-mentioned division, as long as can realize function corresponding; In addition, the concrete title of each functional module also just for the ease of mutual differentiation, is not limited to protection scope of the present invention.
In addition, it will be understood by those skilled in the art that in the method that the embodiment of the invention provides that its all or part of step is to finish by the relevant hardware of program command.Such as finishing by the computer run journey.This program can be stored in read/write memory medium, for example random asccess memory, disk, CD etc.
More than disclosed only be several specific embodiment of the present invention, still, the present invention is not limited thereto, any those skilled in the art can think variation all should fall into protection scope of the present invention.
Claims (10)
1. the method for a predictive user position distribution is characterized in that, comprising:
Obtain the measurement report that the terminal in the Target cell scope reports in the given time;
The received signal quality sectional door limit value default according to Target cell, the received signal quality parameter of adding up described Target cell falls into the interior measurement report number of each piecewise interval of Target cell;
Fall into measurement report number in each piecewise interval of Target cell according to the sum of the measurement report that obtains and the received signal quality parameter of described Target cell, obtain the distribution probability of user in each piecewise interval of described Target cell;
According to the default received signal quality sectional door limit value of described Target cell and the Target cell received signal quality distributed model of prediction the zone that Target cell covers is divided;
Carrying out user location distribution in the zone according to the described Target cell covering of the distribution probability of described user in each piecewise interval of described Target cell after division generates.
2. the method for claim 1 is characterized in that:
The described received signal quality sectional door limit value default according to Target cell, the received signal quality parameter of adding up described Target cell falls into the step of the measurement report number in each piecewise interval of Target cell, does not comprise the measurement report of the received signal quality parameter that records the adjacent area in the measurement report of statistics;
Carry out in the step of user location distribution generation in the described zone according to the described Target cell covering of the distribution probability of described user in each piecewise interval of described Target cell after division, the zone that Target cell covers does not comprise that Target cell and adjacent area cover overlapping areas;
Also comprise:
The received signal quality sectional door limit value default according to the adjacent area of described Target cell, the received signal quality parameter of adding up described Target cell falls into the interior measurement report of each piecewise interval of Target cell, and the received signal quality parameter of adjacent area falls into the measurement report number in each piecewise interval of adjacent area;
Sum and the described measurement report number that falls in each piecewise interval of adjacent area according to the described measurement report that obtains obtain user's distribution probability in each piecewise interval of adjacent area in each piecewise interval of Target cell;
Adjacent area received signal quality distributed model according to the Target cell of default received signal quality sectional door limit value in the adjacent area of described Target cell and prediction is divided Target cell and adjacent area covering overlapping areas;
According to described user distribution probability in each piecewise interval of adjacent area in each piecewise interval of Target cell, carry out user location distribution in the described covering overlapping areas after division and generate.
3. method as claimed in claim 1 or 2 is characterized in that, the measurement report that the described terminal of obtaining in the Target cell scope reports in the given time is specially:
Collect the measurement report of the terminal to report in the Target cell scope within the predetermined time from existing network;
Or, from the measurement report storage entities, filter out the measurement report that the terminal in the described Target cell scope reports according to preset time parameter and Target Cell Identifier in the described scheduled time.
4. the method for claim 1 is characterized in that, carries out user location distribution in the described zone according to the described Target cell covering of the distribution probability of described user in each piecewise interval of described Target cell after division and generates, and specifically comprises:
Obtain the actual while service-user number or the while of the prediction after the described Target cell dilatation service-user number of described Target cell;
The distribution probability in each piecewise interval of described Target cell according to described number of users and described user, in the zone that the Target cell of described each piecewise interval correspondence covers, carry out position distribution respectively at random and generate, or carry out position distribution according to certain constraints and generate.
5. the device of a predictive user position distribution is characterized in that, comprising:
The measurement report acquisition module is used to obtain the measurement report that the terminal in the Target cell scope reports in the given time;
The first measurement report analysis module is used for the received signal quality sectional door limit value default according to Target cell, and the received signal quality parameter of adding up described Target cell falls into the interior measurement report number of each piecewise interval of Target cell;
The first distribution probability generation module, be used for falling into the interior measurement report number of each piecewise interval of Target cell, obtain the distribution probability of user in each piecewise interval of described Target cell according to the sum of the measurement report that obtains and the received signal quality parameter of described Target cell;
Module is divided in first overlay area, is used for according to the default received signal quality sectional door limit value of described Target cell and the Target cell received signal quality distributed model of prediction the zone that Target cell covers being divided;
The first user location distribution generation module carries out user location distribution in the zone that is used for covering according to the described Target cell of the distribution probability of described user in each piecewise interval of described Target cell after division and generates.
6. device as claimed in claim 5 is characterized in that, also comprises:
The second measurement report analysis module, be used for the received signal quality sectional door limit value default according to the adjacent area of described Target cell, the received signal quality parameter of adding up described Target cell falls into the interior measurement report of each piecewise interval of Target cell, and the received signal quality parameter of adjacent area falls into the measurement report number in each piecewise interval of adjacent area;
The second distribution probability generation module is used for sum and the described measurement report number that falls in each piecewise interval of adjacent area according to the described measurement report that obtains, obtains user's distribution probability in each piecewise interval of adjacent area in each piecewise interval of Target cell;
Module is divided in second overlay area, is used for according to the adjacent area received signal quality distributed model of the Target cell of default received signal quality sectional door limit value in the adjacent area of described Target cell and prediction Target cell and adjacent area covering overlapping areas being divided;
The second user location distribution generation module is used for the distribution probability in each each piecewise interval of piecewise interval adjacent area of Target cell according to described user, carries out user location distribution in the described covering overlapping areas after division and generates;
Wherein, the measurement report that does not comprise the received signal quality parameter that records the adjacent area in the measurement report of described first measurement report analysis module statistics;
The zone that the described first user location distribution generation module carries out the Target cell covering of user location distribution generation does not comprise that Target cell and adjacent area cover overlapping areas.
7. device as claimed in claim 5 is characterized in that, the described first user location distribution generation module comprises:
The number of users acquisition module is used to obtain the actual while service-user number of described Target cell or the prediction after described Target cell dilatation service-user number simultaneously;
The position distribution module, be used for the distribution probability in each piecewise interval of described Target cell according to described number of users and described user, in the zone that the Target cell of described each piecewise interval correspondence covers, carry out position distribution respectively at random and generate, or carry out position distribution according to certain constraints and generate.
8. device as claimed in claim 6 is characterized in that, the described second user location distribution generation module comprises:
The second number of users acquisition module is used to obtain the actual while service-user number of described Target cell or the prediction after described Target cell dilatation service-user number simultaneously;
Second place distribution module, be used for according to described number of users and described user at the distribution probability of described user in each each piecewise interval of piecewise interval adjacent area of Target cell, in the described covering overlapping areas of each piecewise interval correspondence of described adjacent area, carry out position distribution respectively at random and generate, or carry out the position distribution generation according to certain constraints.
9. as claim 6 or 8 described devices, it is characterized in that described device also comprises:
The terrestrial object information memory module when being used to described user location distribution generation module to carry out the user location distribution generation, provides terrestrial object information constraints.
10. device as claimed in claim 5 is characterized in that described device is positioned at the base station, or is positioned at operation maintenance center.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200810218368XA CN101431758B (en) | 2008-12-09 | 2008-12-09 | Method and apparatus for predicting user position distribution |
| PCT/CN2009/075264 WO2010066175A1 (en) | 2008-12-09 | 2009-12-02 | Method and device for predicting user position distribution |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200810218368XA CN101431758B (en) | 2008-12-09 | 2008-12-09 | Method and apparatus for predicting user position distribution |
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| CN101431758A true CN101431758A (en) | 2009-05-13 |
| CN101431758B CN101431758B (en) | 2011-04-06 |
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| CN200810218368XA Expired - Fee Related CN101431758B (en) | 2008-12-09 | 2008-12-09 | Method and apparatus for predicting user position distribution |
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| WO (1) | WO2010066175A1 (en) |
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2008
- 2008-12-09 CN CN200810218368XA patent/CN101431758B/en not_active Expired - Fee Related
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- 2009-12-02 WO PCT/CN2009/075264 patent/WO2010066175A1/en active Application Filing
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Also Published As
| Publication number | Publication date |
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| WO2010066175A1 (en) | 2010-06-17 |
| CN101431758B (en) | 2011-04-06 |
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