CN102726089A - Method and model for precise spot selection in planning stage of deploying Wi-Fi hotspots - Google Patents
Method and model for precise spot selection in planning stage of deploying Wi-Fi hotspots Download PDFInfo
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Abstract
Provided is a method and a model for precise spot selection in a planning stage of deploying Wi-Fi hotspots. The method comprises collecting statistic data of every candidate area in a statistic period; according to business category index, assessing the statistic data of every candidate area, and obtaining business assessment scores; according to one or both of the user behavior category index and terminal category index, performing assessment on statistic data of each candidate area, and obtaining user behavior assessment scores or/and terminal permeability assessment scores; performing summary calculation on the each category assessment result corresponding to each candidate area, and obtaining the hot degree value of each candidate area; and selecting the candidate areas whose hot degree values are bigger than the set threshold value as the Wi-Fi hotspot area.
Description
Technical field
The present invention relates to communication technical field, be specifically related to accurate reconnaissance method and model that a kind of Wi-Fi Hotspot is disposed the planning stage.
Background technology
The data service rapid growth of telecom operators causes the network pipeline phenomenon serious, and the networking investment return reduces.Along with intelligent terminal is constantly popularized, the continuous growth of user data service demand is with the burden of further aggravating cellular network.Under this situation, WLAN (Wireless Local Area Networks, WLAN) generally is moved operator and thinks the important means for grand network shunting.
Wi-Fi (Wireless Fidelity, Wireless Fidelity) be a kind of can be with PC, handheld device terminals such as (like PDA, terminals) with the interconnected technology of wireless mode, it is a current application wlan standard the most widely.Can be called as Wi-Fi Hotspot through the place that Wi-Fi inserts Internet, accurately disposing Wi-Fi Hotspot is the problem that grand network health development and the normal operation of WLAN must be considered.
In the prior art; Usually have dual mode to determine whether to need to dispose Wi-Fi Hotspot: a kind of is to come just to confirm through the cellular network cell data traffic whether this sub-district is fit to dispose Wi-Fi Hotspot, and another kind is a longitude and latitude of judging potential Wi-Fi Hotspot position through the data traffic flow quantity map of ground physics and chemistry.
Above-mentioned which kind of mode no matter has only been considered the flow of data service to cause judged result to have than mistake, such as:
(1) in some zone, such as in school, student terminal online demand causes the data service flow statistics of this type sub-district very high greatly.In fact and be not suitable for disposing Wi-Fi Hotspot but what use among the student crowd all is the low and middle-end terminal, supports that the ratio of Wi-Fi is low, and from the angle of shunting, this type sub-district.
(2), hope that generally WLAN can shunt the low value business in the cellular network from the location of operator for WLAN.So-called low value business refers to the flow height but income is low, the business of perhaps too much consumption of network resources, and the flow professional like instant messagings such as QQ is very little, but consumption of network resources is high.This type of business is that the emphasis of wlan network divides flow object, only relies on the flow height to judge.
Summary of the invention
Accurate reconnaissance method and model that the embodiment of the invention provides a kind of Wi-Fi Hotspot to dispose the planning stage are to improve the accuracy that Wi-Fi Hotspot is disposed.
In order to solve above technical problem, the technical scheme that the embodiment of the invention is taked is:
A kind of Wi-Fi Hotspot is disposed the accurate reconnaissance method of planning stage, comprising:
Gather the statistics of each candidate region in the measurement period;
According to the service class index statistics of each candidate region is assessed, obtained professional assessment score;
Assess according to user behavior class index and terminal class index in the two a type or two types of statisticss, obtain user behavior assessment score or/and terminal permeability assessment score to each candidate region;
All kinds of assessment scores according to corresponding each candidate region gather calculating, obtain the temperature value of each candidate region;
The temperature value is regional as Wi-Fi Hotspot greater than the candidate region of preset threshold.
A kind of Wi-Fi Hotspot is disposed the accurate reconnaissance model of planning stage, comprising:
Data acquisition unit is used to gather the statistics of each candidate region in the measurement period;
The operational indicator assessment unit is assessed the statistics of each candidate region according to the service class index, obtains professional assessment score;
Other index evaluation unit is used for assessing according to the two one type or two types of statisticss to each candidate region of user behavior class index and terminal class index, obtains user behavior assessment score or/and terminal permeability assessment score;
Computing unit, all kinds of assessment scores of each candidate region of correspondence that is used for obtaining according to said operational indicator assessment unit and said other index evaluation unit gather calculating, obtain the temperature value of each candidate region;
The unit is confirmed in the hot spot region, is used for the temperature value regional as Wi-Fi Hotspot greater than the candidate region of preset threshold.
Embodiment of the invention Wi-Fi Hotspot is disposed accurate reconnaissance method and the model of planning stage; Carry out comprehensive assessment in the two one type or two types of the service class index of each candidate region and user behavior class index and terminal class index; Calculate the temperature value of each candidate region according to assessment result, thereby discern and confirm the Wi-Fi deployment place of the best rapidly and accurately.
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 in embodiment or the description of the Prior Art below; Obviously, the 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 the flow chart that embodiment of the invention Wi-Fi Hotspot is disposed the accurate reconnaissance method of planning stage;
Fig. 2 is a kind of structural representation that embodiment of the invention Wi-Fi Hotspot is disposed the accurate reconnaissance model of planning stage;
Fig. 3 is the another kind of structural representation that embodiment of the invention Wi-Fi Hotspot is disposed the accurate reconnaissance model of planning stage.
Embodiment
In order to make those skilled in the art person understand the scheme of the embodiment of the invention better, the embodiment of the invention is done further to specify below in conjunction with accompanying drawing and execution mode.
Embodiment of the invention Wi-Fi Hotspot is disposed accurate reconnaissance method and the model of the accurate reconnaissance Wi-Fi Hotspot deployment planning stage of planning stage; Service class index and user behavior class index for each candidate region are carried out comprehensive assessment or/and the statistical indicator of terminal class index is applied mechanically model; Calculate the temperature value of each candidate region according to assessment result, thereby discern and confirm the Wi-Fi deployment place of the best rapidly and accurately.
As shown in Figure 1, be the flow chart that embodiment of the invention Wi-Fi Hotspot is disposed the accurate reconnaissance method of planning stage, may further comprise the steps:
Above-mentioned measurement period can be set arbitrarily, such as three days to a week.Said candidate region is meant the candidate region of existing net cellular network, can be zone cell-level or lattice level (for example 25 meters * 25 meters, 50 meters * 50 meters, 100 meters * 100 meters equigranular grids).
Above-mentioned statistics can comprise following any one or multiple: data service statistics, user's operation or O&M statistics, different brands terminal statistics; Certainly; As required, can also comprise other data, this embodiment of the invention is not done qualification.
In practical application; Difference according to business; Can set different service class index; Such as, for the candidate region of cell-level, said service class index can comprise following any one or multinomial: wireless resource utility efficiency, data service flow, data traffic channels load-carrying efficiency, data traffic channels congestion ratio, data traffic channels resources occupation rate, low value business proportion when busy; For the candidate region of lattice level, said service class index can comprise any one or multinomial that can refine to lattice level in the These parameters.
Need to prove; Need set a threshold value to above-mentioned every service class index, its value can be set with reference to the little plot mean of the whole network, such as being 1.2 times of the little plot mean of the whole network; Also can set, to adapt to different scene needs according to user of service's expectation.
When the statistics of a candidate region being assessed according to the service class index; Can be at first with comparing with the corresponding threshold value of corresponding business class index in the statistics of this candidate region; If be less than or equal to corresponding threshold value, then be not considered, business is assessed to such an extent that be divided into 0; If greater than the threshold value of correspondence, then calculate the assessment score.Assess be divided into the actual count data threshold value corresponding with corresponding service class index ratio multiply by certain weight.The weight of each index can be set according to actual needs, and weight shows that more greatly the importance of this index is high more.
Such as; Candidate region for cell-level; Said user behavior class index can comprise following any one or multinomial: the ratio of high-end user, use user's ratio of Wi-Fi flow set meal, often use Wi-Fi user's ratio, use the user who does not support the Wi-Fi terminal the average data flow, use the user who supports the Wi-Fi terminal the average data flow, support total PS (Packet Switch, packet switching) flow of the terminal contribution of Wi-Fi to account for the ratio of sub-district total data flow; Said terminal class index can comprise following any one or multinomial: terminal ratio, star terminal ratio, the data card ratio of supporting Wi-Fi.
Equally; Need set a threshold value to above-mentioned every service class index, its value can be set with reference to the little plot mean of the whole network, such as being 1.2 times of the little plot mean of the whole network; Also can set, to adapt to different scene needs according to user of service's expectation.
When the statistics of a candidate region being assessed according to user behavior class index; Can at first the threshold value of statistics relevant with user behavior in the statistics of this candidate region with corresponding user behavior class index be compared; If be less than or equal to the corresponding threshold value of corresponding user behavior class index; Then be not considered, business is assessed to such an extent that be divided into 0; If greater than the threshold value of correspondence, then calculate the assessment score.Assess to such an extent that be divided into the actual count data and multiply by certain weight with the ratio of corresponding threshold value.The weight of each index can be set according to actual needs, and weight shows that more greatly the importance of this index is high more.
Equally, the process of the statistics of a candidate region being assessed according to terminal class index and above-mentioned similar no longer specifies at this.
For each candidate region, after obtaining, can the assessment score of these inhomogeneity index item be carried out weighted average to each item assessment score that should the candidate region, obtain the temperature value of corresponding candidate region.The weight of the assessment score of each index item can be set according to actual needs, and the weight that different index item are corresponding can be identical, also can be different, and certainly, can be positive number, also can be negative.
In addition, user's use for ease in embodiments of the present invention, also can generate the potential focus distribution map of Wi-Fi according to the temperature value of each candidate region, distributes thereby embody the potential focus of Wi-Fi more intuitively.
The accurate reconnaissance method of further explain embodiment of the invention Wi-Fi Hotspot deployment planning stage is confirmed principle to the temperature of varigrained candidate region for example below.
Example 1: to the candidate region of cell granularity
Example 2: to the candidate region of grid granularity
Need to prove; In practical application; For the accuracy in the Wi-Fi Hotspot zone that further guarantees to confirm, the temperature value of each candidate region that can also obtain above-mentioned steps 104 is revised, such as; With the score integrity parameters as correction factor, i.e. temperature value * score integrity parameters=revised temperature value.Then, confirm the Wi-Fi Hotspot zone according to revised temperature value again.
The setting principle of above-mentioned score integrity parameters can embody through one or more aspects, such as:
(1) gets rid of the pseudo-data focus of the score virtual height that the extreme data business conduct of few users causes
Such as, if preceding 5 users of this sub-district have contributed 95% data traffic, then score integrity parameters value is 0.Certainly, specifically principle can rationally be adjusted according to the network actual conditions.
(2) embody the advantage of the comprehensive score of each index classification dimension
Such as, if service class all has an index score at least in user behavior class, three types of indexs of terminal permeability class, then score integrity parameters value is 1; If all scores not of each item index are arranged in one type of index, then score integrity parameters value is 2/3; If all scores not of each item index are arranged in two types of indexs, then score integrity parameters value is 1/3.Certainly, specifically principle can rationally be adjusted according to the network actual conditions.
Certainly, can also revise the temperature value of each candidate region, this embodiment of the invention is not done qualification from others.
It is thus clear that; Embodiment of the invention Wi-Fi Hotspot is disposed the accurate reconnaissance method of planning stage; Statistics to each candidate region of gathering; Carry out comprehensive assessment according in the two one type or two types of operational indicator and user behavior index and terminal permeability index, calculate the temperature value of each candidate region, thereby discern rapidly and accurately and confirm best Wi-Fi deployment place according to assessment result.
Description through above execution mode can know, all or part of step that those skilled in the art can be well understood in the foregoing description method can realize by the mode that software adds essential general hardware platform.Based on such understanding; The part that technical scheme of the present invention contributes to prior art in essence in other words can be come out with the embodied of software product; This computer software product can be stored in the storage medium, like ROM/RAM, magnetic disc, CD etc., comprises that some instructions are with so that a computer equipment (can be a personal computer; Server, the perhaps network equipment etc.) carry out the described method of some part of each embodiment of the present invention or embodiment.
Correspondingly, the accurate reconnaissance model that the embodiment of the invention also provides a kind of Wi-Fi Hotspot to dispose the planning stage, as shown in Figure 2, be a kind of structural representation of this model.
In this embodiment, said model comprises:
Operational indicator assessment unit 202 is assessed the statistics of each candidate region according to the service class index, obtains professional assessment score;
Other index evaluation unit 203 is used for assessing according to the two one type or two types of statisticss to each candidate region of user behavior class index and terminal class index, obtains user behavior assessment score or/and terminal permeability assessment score;
Above-mentioned measurement period can be set arbitrarily, such as three days to a week.Said candidate region is meant the candidate region of existing net cellular network, can be zone cell-level or lattice level.
Above-mentioned statistics can comprise following any one or multiple: data service statistics, user's operation or O&M statistics, different brands terminal statistics; Certainly; As required, can also comprise other data, this embodiment of the invention is not done qualification.
Above-mentioned all kinds of index specifically can be confirmed according to factors such as the geographical position of candidate region, environment; And; To varigrained candidate region; Set different index item, specifically can repeat no more at this with reference to the description in the front embodiment of the invention Wi-Fi Hotspot accurate reconnaissance method of deployment planning stage.
Above-mentioned operational indicator assessment unit 202 is when assessing the statistics of a candidate region according to the service class index; Can at first statistics relevant with business in the statistics of this candidate region and the corresponding threshold value of corresponding business class index be compared; If be less than or equal to corresponding threshold value; Then be not considered, business is assessed to such an extent that be divided into 0; If threshold value greater than correspondence; Calculate the assessment score again, concrete computational methods can have multiple, such as can being the actual count data and the ratio of corresponding threshold value; Or the difference of actual count data and corresponding threshold value etc., this embodiment of the invention is not done qualification.
Equally; The process that other index evaluation unit 203 is assessed the statistics of each candidate region according to user behavior class index and terminal class index in the two a type or two types and the processing of above-mentioned operational indicator assessment unit 202 are similar, repeat no more at this.
It is thus clear that; Embodiment of the invention Wi-Fi Hotspot is disposed the accurate reconnaissance model of planning stage; Statistics to each candidate region of gathering; Carry out comprehensive assessment according in the two one or two of operational indicator and user behavior index and terminal permeability index, calculate the temperature value of each candidate region, thereby discern rapidly and accurately and confirm best Wi-Fi deployment place according to assessment result.
As shown in Figure 3, be the another kind of structural representation that embodiment of the invention Wi-Fi Hotspot is disposed the accurate reconnaissance model of planning stage.
With embodiment illustrated in fig. 2 different be that in this embodiment, said model also further comprises:
Distribution map generation unit 301, the temperature value of each candidate region that is used for obtaining according to computing unit 204 generates the Wi-Fi Hotspot distribution map.
Like this, can embody Wi-Fi Hotspot more intuitively and distribute, user-friendly.
Need to prove that each embodiment in this specification all adopts the mode of going forward one by one to describe, identical similar part is mutually referring to getting final product between each embodiment, and each embodiment stresses all is the difference with other embodiment.Especially, for model embodiment, because it is basically similar in appearance to method embodiment, so describe fairly simplely, relevant part gets final product referring to the part explanation of method embodiment.Equipment described above and system embodiment only are schematic; Wherein the unit as the separating component explanation can or can not be physically to separate also; The parts that show as the unit can be or can not be physical locations also; Promptly can be positioned at a place, perhaps also can be distributed on a plurality of NEs.Can realize the purpose of present embodiment scheme according to the needs selection some or all of module wherein of reality.Those of ordinary skills promptly can understand and implement under the situation of not paying creative work.
The above is merely preferred embodiment of the present invention, is not to be used to limit protection scope of the present invention.All any modifications of within spirit of the present invention and principle, being done, be equal to replacement, improvement etc., all be included in protection scope of the present invention.
Claims (10)
1. the accurate reconnaissance method that Wi-Fi Hotspot is disposed the planning stage is characterized in that, comprising:
Gather the statistics of each candidate region in the measurement period;
According to the service class index statistics of each candidate region is assessed, obtained professional assessment score;
Assess according to user behavior class index and terminal class index in the two a type or two types of statisticss, obtain user behavior assessment score or/and terminal permeability assessment score to each candidate region;
All kinds of assessment scores according to corresponding each candidate region gather calculating, obtain the temperature value of each candidate region;
The temperature value is regional as Wi-Fi Hotspot greater than the candidate region of preset threshold.
2. the method for claim 1 is characterized in that, said statistics comprise following any one or multiple:
Data service statistics, user's operation or O&M statistics, different brands terminal statistics.
3. the method for claim 1 is characterized in that, the granularity of said candidate region is a cell-level;
Said service class index comprises following any one or multinomial: wireless resource utility efficiency, data service flow, data traffic channels load-carrying efficiency, data traffic channels congestion ratio, data traffic channels resources occupation rate, low value business proportion when busy;
Said user behavior class index comprises following any one or multinomial: the ratio of high-end user, use user's ratio of Wi-Fi flow set meal, often use Wi-Fi user's ratio, use the user who does not support the Wi-Fi terminal the average data flow, use the user who supports the Wi-Fi terminal the average data flow, support the total packet switching traffic of the terminal contribution of Wi-Fi to account for the ratio of sub-district total data flow;
Said terminal class index comprises following any one or multinomial: terminal ratio, star terminal ratio, the data card ratio of supporting Wi-Fi.
4. the method for claim 1 is characterized in that, the granularity of said candidate region is a lattice level;
Said service class index comprises following any one or multinomial: data service flow, RRC congestion ratio, low value business proportion;
Said user behavior class index comprises following any one or multinomial: the fixed-line subscriber number in the grid; Fixed-line subscriber middle and high end user's ratio; Use user's ratio of Wi-Fi flow set meal in the fixed-line subscriber; Often use user's ratio of Wi-Fi in the fixed-line subscriber; Use the user's who does not support the Wi-Fi terminal average data flow in the fixed-line subscriber; Use the user's who supports the Wi-Fi terminal average data flow; Support the total packet switching traffic of the terminal contribution of Wi-Fi to account for the ratio of total data flow in the grid;
Said terminal class index comprises following any one or multinomial: terminal ratio, star terminal ratio, the data card ratio of supporting Wi-Fi.
5. the method for claim 1 is characterized in that, said all kinds of assessment scores according to corresponding each candidate region gather calculating, and the temperature value that obtains each candidate region comprises:
Respectively all kinds of assessment scores of each candidate region are carried out weighted average, obtain the temperature value of corresponding candidate region.
6. like each described method of claim 1 to 5, it is characterized in that said method also comprises:
Temperature value according to each candidate region generates the Wi-Fi Hotspot distribution map.
7. the accurate reconnaissance model of a Wi-Fi Hotspot deployment planning stage is characterized in that, comprising:
Data acquisition unit is used to gather the statistics of each candidate region in the measurement period;
The operational indicator assessment unit is assessed the statistics of each candidate region according to the service class index, obtains professional assessment score;
Other index evaluation unit is used for assessing according to the two one type or two types of statisticss to each candidate region of user behavior class index and terminal class index, obtains user behavior assessment score or/and terminal permeability assessment score;
Computing unit, all kinds of assessment scores of each candidate region of correspondence that is used for obtaining according to said operational indicator assessment unit and said other index evaluation unit gather calculating, obtain the temperature value of each candidate region;
The unit is confirmed in the hot spot region, is used for the temperature value regional as Wi-Fi Hotspot greater than the candidate region of preset threshold.
8. model as claimed in claim 1 is characterized in that, the granularity of said candidate region is cell-level or lattice level.
9. model as claimed in claim 1 is characterized in that,
Said computing unit specifically is used for respectively all kinds of assessment scores of each candidate region being carried out weighted average, obtains the temperature value of corresponding candidate region.
10. like each described model of claim 6 to 9, it is characterized in that said model also comprises:
The distribution map generation unit, the temperature value of each candidate region that is used for obtaining according to said computing unit generates the Wi-Fi Hotspot distribution map.
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| Application Number | Priority Date | Filing Date | Title |
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| PCT/CN2011/082943 WO2013075330A1 (en) | 2011-11-25 | 2011-11-25 | Method for accurately selecting point at wi-fi hotspot deployment planning stage, and model |
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| CN104754590A (en) * | 2013-12-31 | 2015-07-01 | 中国移动通信集团山东有限公司 | Method and device for assessing LTE (long term evolution) network sites |
| CN104754590B (en) * | 2013-12-31 | 2018-10-26 | 中国移动通信集团山东有限公司 | A kind of method and device of assessment long term evolution LTE network site |
| CN104581743B (en) * | 2015-01-04 | 2018-06-26 | 中国联合网络通信集团有限公司 | A kind of method and device for realizing WLAN deployment |
| CN104581743A (en) * | 2015-01-04 | 2015-04-29 | 中国联合网络通信集团有限公司 | Method and device for achieving WLAN deployment |
| CN105873079A (en) * | 2015-01-23 | 2016-08-17 | 中国移动通信集团浙江有限公司 | Network planning method and device |
| CN104754591A (en) * | 2015-02-28 | 2015-07-01 | 重庆信科设计有限公司 | Hotspot user movement behavior analysis method applied to network layout planning |
| CN104754591B (en) * | 2015-02-28 | 2018-12-28 | 重庆信科设计有限公司 | A kind of hotspot users mobile behavior analysis method applied to network topology planning |
| CN106714202A (en) * | 2015-11-16 | 2017-05-24 | 中国移动通信集团公司 | Network capacity optimization method and device |
| CN106714202B (en) * | 2015-11-16 | 2020-08-14 | 中国移动通信集团公司 | Network capacity optimization method and device |
| CN105828347A (en) * | 2016-03-15 | 2016-08-03 | 中国联合网络通信集团有限公司 | U900 disposing feasibility analysis method and device |
| CN108200584A (en) * | 2016-12-08 | 2018-06-22 | 中国移动通信集团四川有限公司 | A kind of screening technique and device of WLAN websites yet to be built |
| CN108200584B (en) * | 2016-12-08 | 2021-08-31 | 中国移动通信集团四川有限公司 | Screening method and device for WLAN (Wireless local area network) station to be built |
| CN107566207A (en) * | 2017-08-07 | 2018-01-09 | 北京天元创新科技有限公司 | The appraisal procedure and device of a kind of network resource consumption |
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|---|---|
| WO2013075330A1 (en) | 2013-05-30 |
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