CN104270769A - Base station site selection method and device - Google Patents

Base station site selection method and device Download PDF

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Publication number
CN104270769A
CN104270769A CN201410508726.6A CN201410508726A CN104270769A CN 104270769 A CN104270769 A CN 104270769A CN 201410508726 A CN201410508726 A CN 201410508726A CN 104270769 A CN104270769 A CN 104270769A
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China
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acquisition module
website
existing network
sampling
base station
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CN201410508726.6A
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CN104270769B (en
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王睿
陈崴嵬
陆钧
李巍
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China United Network Communications Group Co Ltd
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China United Network Communications Group Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18Network planning tools

Abstract

The invention discloses a base station site selection method and device, and relates to the technical field of information. According to the base station site selection method and device, the accuracy of preset network deployment can be improved. The method comprises the steps of firstly obtaining evaluation parameters of a station site according to an existing network, wherein the evaluation parameters are any one or an arbitrary combination of service value, perception value, interference characteristics and optimization feasibility; then determining whether a preset network is deployed at the station site or not according to the evaluation parameters. The base station site selection method and device are applicable to 4G network location.

Description

The method of base station selection and device
Technical field
The present invention relates to areas of information technology, particularly a kind of method of base station selection and device.
Background technology
At present, 3-G (Generation Three mobile communication system) (English full name: Third Generation, english abbreviation: 3G) network is commercial at home and popularize rapidly, and for forth generation mobile communication system (English full name: Fourth Generation, english abbreviation: 4G), the commercialization of 4G network has also put on schedule, therefore for the construction of 4G network reasonably plans that site becomes a major issue.
At present, a kind of method of base station selection, first according to the 3G data business volume of website, determine the priority at this site deployment 4G network, then according to the distance between website, the disturbed condition produced after this site deployment 4G network is determined, last according to the priority at this site deployment 4G network, and the disturbed condition produced after disposing 4G network, determine whether at this site deployment 4G network.
But, when affixing one's name to the website of 4G network by means of only the distance determining part between 3G data business volume and website, not according to the actual conditions around website, such as, whether there is the obstructs such as higher buildings thing between website, and the distribution situation of subscriber equipment in this website coverage, determine whether at this site deployment 4G network, thus cause the accuracy of disposing 4G network lower.
Summary of the invention
The invention provides a kind of method and device of base station selection, the accuracy of disposing preset network can be improved.
The technical solution used in the present invention is:
First aspect, the invention provides a kind of method of base station selection, comprising:
According to existing network, obtain the evaluate parameter of website, described evaluate parameter is business value, perceived value, interference characteristic and any one optimized in feasibility or combination in any;
According to described evaluate parameter, determine whether at the preset network of described site deployment.
Second aspect, the invention provides a kind of device of base station selection, comprising:
Acquiring unit, for according to existing network, obtains the evaluate parameter of website, and described evaluate parameter is business value, perceived value, interference characteristic and any one optimized in feasibility or combination in any;
Determining unit, for the described evaluate parameter obtained according to described acquiring unit, determines whether at the preset network of described site deployment.
The method of base station selection provided by the invention and device, first according to existing network, obtain the evaluate parameter of website, evaluate parameter is business value, perceived value, interference characteristic and any one optimized in feasibility or combination in any, then according to evaluate parameter, determine whether at the preset network of site deployment.Determine whether compared with the preset network of this site deployment with the distance between the current data business volume by means of only existing network and website, the present invention is by the ruuning situation at the existing network of this site deployment, comprise: the data traffic of existing network, support the terminal accounting of preset network, the inter base station interference situation of existing network, the adjustable surplus etc. of the antenna of existing network, analyze whether being applicable to disposing preset network at this website, thus can according to the actual conditions around website, determine whether at the preset network of this site deployment, and then the accuracy of disposing preset network can be improved.
Accompanying drawing explanation
In order to be illustrated more clearly in the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in the present invention or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the method flow diagram of base station selection in the embodiment of the present invention;
Fig. 2 is the apparatus structure schematic diagram of base station selection in the embodiment of the present invention;
Fig. 3 is the apparatus structure schematic diagram of another kind of base station selection in the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making other embodiments all obtained under creative work prerequisite, belong to the scope of protection of the invention.
The embodiment of the present invention provides a kind of method of base station selection, and can improve the accuracy of disposing 4G network, as shown in Figure 1, described method comprises:
101, base station is according to existing network, obtains the evaluate parameter of website.
Wherein, evaluate parameter is business value, perceived value, interference characteristic and any one optimized in feasibility or combination in any.In embodiments of the present invention, website refers to the position residing for base station.
For the embodiment of the present invention, business is worth the service traffics be used for by existing network, characterizes the service traffics after disposing preset network; When perceived value is for being characterized in weak overlay area or the capacity constraint of existing network, dispose the value after preset network; Interference characteristic is for characterizing the disturbed condition between current base station and other adjacent base stations; Optimize feasibility disposes the target antenna needed for preset network feasibility for being characterized in current site.
For the embodiment of the present invention, first base station obtains the data traffic of existing network, and supports the terminal accounting of preset network, then according to formula V t=T*k* Γ, computing service is worth.Wherein, V tfor business is worth, T is the data traffic of existing network, and k is the flow coefficient between preset network and existing network, and Γ is the terminal accounting of preset network.
For the embodiment of the present invention, the flow coefficient between preset network and existing network refers to the flow of subscriber equipment under preset network and the multiple of this subscriber equipment under existing network.Such as, the flow coefficient between preset network and existing network can be 1.8,2 or 2.5 etc.
For the embodiment of the present invention, the unit that business is worth can be million, gigabit or byte etc., and the embodiment of the present invention does not limit.
For the embodiment of the present invention, first base station obtains the data traffic of existing network, the weak covering sampling number of existing network, the sampling of existing network are always counted, and the cubage correction coefficient of existing network, then according to formula calculate perceived value.Wherein, V ffor perceived value, T is the data traffic of existing network, n weakfor the weak covering sampling number of existing network, n totalfor the sampling of existing network is always counted, σ is the cubage correction coefficient of existing network.
For the embodiment of the present invention, perceived value refers to the weak overlay area of existing network, or during the capacity constraint of this existing network, the situation that user awareness is poor.In embodiments of the present invention, the weak covering sampling number of existing network and existing network are sampled the ratio of always counting, and are the ratio shared by overlay area weak in existing network; Cubage correction coefficient in existing network is the capacity constraint situation of existing network, and when the capacity constraint of existing network, the cubage correction coefficient of existing network is 1; When the capacity of existing network is not by limited time, the cubage correction coefficient of existing network is 0.
For the embodiment of the present invention, when the ratio occupied when overlay area weak in existing network is larger, perceived value is larger; When capacity constraint in existing network, perceived value is larger.In embodiments of the present invention, by the weak overlay area accounting of the existing network of website, and the situation of capacity constraint, the perceived value of this website can be calculated, thus can be that the accounting of weak overlay area is larger, or the website of capacity constraint, disposes preset network, and then can improve the experience of this website nearby users.
Such as, if the data traffic of existing network is 1,000,000, the weak covering sampling number of existing network is 100, and it is 1000 that the sampling of existing network is always counted, and the cubage correction coefficient of existing network is 0, then perceived value is 0.1; If the data traffic of existing network is 1,000,000, the weak covering sampling number of existing network is 100, and it is 1000 that the sampling of existing network is always counted, and the cubage correction coefficient of existing network is 1, then perceived value is 1.1 million.
For the embodiment of the present invention, the unit of perceived value can be million, gigabit or byte etc., and the embodiment of the present invention does not limit.
For the embodiment of the present invention, interference characteristic comprises disturbed coefficient and interference coefficient.In embodiments of the present invention, first base station obtains the total traffic of each wireless link sampling statistics number corresponding respectively, website, and the main telephone service amount of website, then according to formula x s = N 22 + N 23 + N 33 * 2 N 11 + N 12 + N 13 + N 22 + N 23 + N 33 * 100 % , Calculate disturbed coefficient, and according to formula x a = T total - T best T total * N 22 + N 23 + N 33 N 12 + N 13 + N 22 + N 23 + N 33 * 100 % , Calculate interference coefficient.Wherein, x sfor disturbed coefficient, x afor interference coefficient, N ijfor the sampling statistics number that i base station j wireless link is corresponding, T totalfor the total traffic of website, T bestfor the main telephone service amount of website.
For the embodiment of the present invention, when this website is the single wireless link in single base station, the two wireless link in single base station and single base station three wireless link, represent this base station not by the interference of peripheral base station; When this website is the two wireless link of Dual base stations and Dual base stations three wireless link, represent the interference of this base station by a periphery base station; When this website is three base station three wireless links, represent the interference of this base station by periphery two base stations.In embodiments of the present invention, base station number is less than or equal to the radio chains way of this base station.
Such as, if the sampling statistics number that the single wireless link in single base station is corresponding is 1000, the two wireless link in single base station is 1000, the sampling statistics number that single base station three wireless link is corresponding is 1000, the sampling statistics number that single base station three wireless link is corresponding is 3000, the sampling statistics number that the two wireless link of Dual base stations is corresponding is 400, the sampling statistics number that Dual base stations three wireless link is corresponding is 500, the sampling statistics number that three base station three wireless links are corresponding is 600, then the disturbed coefficient of this base station is 28%.
For the embodiment of the present invention, if sampling statistics number corresponding to Dual base stations existing in this website and three base stations is more, then the disturbed coefficient of this base station is larger, and the interference that this base station is subject to other base stations in this website is larger.In embodiments of the present invention, by the sampling statistics number of link each between website and adjacent sites, the disturbed coefficient of this website can be calculated, thus can be the website that disturbed coefficient is less, dispose preset network, and then the interference between this website and adjacent sites can be reduced.
Such as, if the two wireless link in single base station is 1000, the sampling statistics number that single base station three wireless link is corresponding is 2000, the sampling statistics number that single base station three wireless link is corresponding is 3000, the sampling statistics number that the two wireless link of Dual base stations is corresponding is 400, the sampling statistics number that Dual base stations three wireless link is corresponding is 500, the sampling statistics number that three base station three wireless links are corresponding is 600, the total traffic of website is 1,000,000, the main telephone service amount of website is 0.5 million, then the interference coefficient of this base station is 10%.
For the embodiment of the present invention, if there is sampling statistics number corresponding to the two wireless link of Dual base stations in this website, sampling statistics number that Dual base stations three wireless link is corresponding, sampling statistics number that three base station three wireless links are corresponding are larger, the interference coefficient of this base station is larger; If the main telephone service amount of this base station is higher, the interference coefficient of this base station is less.In embodiments of the present invention, by the main telephone service amount of the sampling statistics number of link each between website and adjacent sites, the total traffic of website and website, the interference coefficient of this website can be calculated, thus can be the website that interference coefficient is less, dispose preset network, and then the interference between this website and adjacent sites can be reduced.
For the embodiment of the present invention, first base station obtains the high and covering radius in the station of website, then according to formula calculate target angle of declination.Wherein, θ is target angle of declination, and the value of target angle of declination is for characterizing optimization feasibility, and R is covering radius, and H is that the station of website is high.
For the embodiment of the present invention, the covering radius of website is the half of stop spacing between this website and adjacent sites.Wherein, between this website and adjacent sites, stop spacing can obtain by the longitude and latitude residing for this website.Such as, if the covering radius of this website is 200 meters, the station of this website high is 200 meters, then the target angle of declination of this website is 45 degree.
For the embodiment of the present invention, the covering radius of website is larger, or the station Gao Yue little of website, and the target angle of declination of this website is larger, and further, the adjustable surplus of this sites antenna is less.In the invention process, by the covering radius of website and the station of website high, the target angle of declination of website can be got, thus according to the target angle of declination of this website, the feasibility at the preset network of this site deployment can be judged.
102, base station is according to evaluate parameter, determines whether at the preset network of site deployment.
Wherein, evaluate parameter is business value, perceived value, interference characteristic and any one optimized in feasibility or combination in any.
Particularly, if the business of website is worth larger, then more reasonable at the preset network of this site deployment; If the perceived value of website is larger, then more reasonable at the preset network of this site deployment; If the interference characteristic of website is less, then more reasonable at the preset network of this site deployment; If the optimization feasibility of website is more feasible, then more reasonable at the preset network of this site deployment.
For the embodiment of the present invention, existing network can be 3G network, and preset network can be 4G network or LTE network.
It should be noted that, it is 3G network that the embodiment of the present invention is not limited to above-mentioned existing network, and preset network is the scene of 4G network or LTE network, the scene of the preset network of other any site deployment corresponding at existing network, is all suitable for the embodiment of the present invention.
The method of the base station selection that the embodiment of the present invention provides, first according to existing network, obtain the evaluate parameter of website, evaluate parameter is business value, perceived value, interference characteristic and any one optimized in feasibility or combination in any, then according to evaluate parameter, determine whether at the preset network of site deployment.Determine whether compared with the preset network of this site deployment with the distance between the current data business volume by means of only existing network and website, the embodiment of the present invention is by the ruuning situation at the existing network of this site deployment, comprise: the data traffic of existing network, support the terminal accounting of preset network, the inter base station interference situation of existing network, the adjustable surplus etc. of the antenna of existing network, analyze whether being applicable to disposing preset network at this website, thus can according to the actual conditions around website, determine whether at the preset network of this site deployment, and then the accuracy of disposing preset network can be improved.
Further, the base station selection method that the embodiment of the present invention provides, by the weak overlay area accounting of the existing network of website, and the situation of capacity constraint, the perceived value of this website can be calculated, thus can be that the accounting of weak overlay area is comparatively large, or the website of capacity constraint, dispose preset network, and then the experience of this website nearby users can be improved; By the sampling statistics number of link each between website and adjacent sites, the disturbed coefficient of this website can be calculated, thus can be the website that disturbed coefficient is less, dispose preset network, and then the interference between this website and adjacent sites can be reduced; By the main telephone service amount of the sampling statistics number of link each between website and adjacent sites, the total traffic of website and website, the interference coefficient of this website can be calculated, thus can be the website that interference coefficient is less, dispose preset network, and then the interference between this website and adjacent sites can be reduced; By the covering radius of website and the station of website high, the target angle of declination of website can be got, thus according to the target angle of declination of this website, the feasibility at the preset network of this site deployment can be judged.
As the realization to method shown in Fig. 1, the embodiment of the present invention additionally provides a kind of device of base station selection, and this device can be arranged in base station, for improving the accuracy of disposing preset network, as shown in Figure 2, described device comprises: acquiring unit 21, determining unit 22.
Acquiring unit 21, for according to existing network, obtains the evaluate parameter of website.
Wherein, evaluate parameter is business value, perceived value, interference characteristic and any one optimized in feasibility or combination in any.
Determining unit 22, for the evaluate parameter obtained according to acquiring unit 22, determines whether at the preset network of site deployment.
Further, as shown in Figure 3, acquiring unit 21 comprises: data traffic acquisition module 2101, terminal accounting acquisition module 2102, business value calculation module 2103.
Data traffic acquisition module 2101, for obtaining the data traffic of existing network.
Terminal accounting acquisition module 2102, for obtaining the terminal accounting supporting preset network.
Business value calculation module 2103, for according to formula V t=T*k* Γ, computing service is worth.
Wherein, V tfor business is worth, T is the data traffic of the existing network that data traffic acquisition module 2101 obtains, and k is the flow coefficient between preset network and described existing network, and Γ is the terminal accounting of the described preset network that terminal accounting acquisition module 2102 obtains.
Alternatively, acquiring unit 21 comprises: data traffic acquisition module 2101, weak covering sampling number acquisition module 2104, acquisition module 2105, cubage correction coefficient acquisition module 2106, the perceived value computing module 2107 of always counting of sampling.
Data traffic acquisition module 2101, for obtaining the data traffic of existing network.
Weak covering sampling number acquisition module 2104, for obtaining the weak covering sampling number of existing network.
Sampling is always counted acquisition module 2105, always counts for the sampling obtaining existing network.
Cubage correction coefficient acquisition module 2106, for obtaining the cubage correction coefficient of existing network.
Perceived value computing module 2107, for according to formula calculate perceived value.
Wherein, V ffor perceived value, T is the data traffic of the existing network that data traffic acquisition module 2101 obtains, n weakfor the weak covering sampling number of the existing network that weak covering sampling number acquisition module 2104 obtains, n totalthe sampling of the existing network that acquisition module 2105 of always counting for sampling obtains always is counted, and σ is the cubage correction coefficient of the existing network that cubage correction coefficient acquisition module 2106 obtains.
Alternatively, acquiring unit 21 also comprises: sampling statistics number acquisition module 2108, total traffic acquisition module 2109, main telephone service amount acquisition module 2110, interference characteristic computing module 2111.
Wherein, the interference characteristic that acquiring unit 21 obtains comprises disturbed coefficient and interference coefficient.
Sampling statistics number acquisition module 2108, for obtaining each wireless link sampling statistics number corresponding respectively.
Total traffic acquisition module 2109, for obtaining the total traffic of website.
Main telephone service amount acquisition module 2110, for obtaining the main telephone service amount of website.
Interference characteristic computing module 2111, for according to formula x s = N 22 + N 23 + N 33 * 2 N 11 + N 12 + N 13 + N 22 + N 23 + N 33 * 100 % , Calculate disturbed coefficient, and according to formula x a = T total - T best T total * N 22 + N 23 + N 33 N 12 + N 13 + N 22 + N 23 + N 33 * 100 % , Calculate interference coefficient.
Wherein, x sfor the disturbed coefficient that acquiring unit 21 obtains, x afor the interference coefficient that acquiring unit 21 obtains, N ijfor the sampling statistics number that the i base station j wireless link of sampling statistics number acquisition module 2108 acquisition is corresponding, T totalfor the total traffic of the website that total traffic acquisition module 2109 obtains, T bestit is the main telephone service amount of the website that main telephone service amount acquisition module 2110 obtains.
Alternatively, acquiring unit 21 also comprises: high acquisition module 2112 of standing, covering radius acquisition module 2113, target angle of declination computing module 2114.
To stand high acquisition module 2112, high for the station obtaining website.
Covering radius acquisition module 2113, for obtaining covering radius.
Target angle of declination computing module 2114, for according to formula calculate target angle of declination.
Wherein, θ is target angle of declination, and the value of target angle of declination is for characterizing optimization feasibility, and R is the covering radius that covering radius acquisition module 2113 obtains, and H is that the station of the website that the high acquisition module 2112 in station obtains is high.
The device of the base station selection that the embodiment of the present invention provides, first according to existing network, obtain the evaluate parameter of website, evaluate parameter is business value, perceived value, interference characteristic and any one optimized in feasibility or combination in any, then according to evaluate parameter, determine whether at the preset network of site deployment.Determine whether compared with the preset network of this site deployment with the distance between the current data business volume by means of only existing network and website, the embodiment of the present invention is by the ruuning situation at the existing network of this site deployment, comprise: the data traffic of existing network, support the terminal accounting of preset network, the inter base station interference situation of existing network, the adjustable surplus etc. of the antenna of existing network, analyze whether being applicable to disposing preset network at this website, thus can according to the actual conditions around website, determine whether at the preset network of this site deployment, and then the accuracy of disposing preset network can be improved.
Further, the base station selection device that the embodiment of the present invention provides, by the weak overlay area accounting of the existing network of website, and the situation of capacity constraint, the perceived value of this website can be calculated, thus can be that the accounting of weak overlay area is comparatively large, or the website of capacity constraint, dispose preset network, and then the experience of this website nearby users can be improved; By the sampling statistics number of link each between website and adjacent sites, the disturbed coefficient of this website can be calculated, thus can be the website that disturbed coefficient is less, dispose preset network, and then the interference between this website and adjacent sites can be reduced; By the main telephone service amount of the sampling statistics number of link each between website and adjacent sites, the total traffic of website and website, the interference coefficient of this website can be calculated, thus can be the website that interference coefficient is less, dispose preset network, and then the interference between this website and adjacent sites can be reduced; By the covering radius of website and the station of website high, the target angle of declination of website can be got, thus according to the target angle of declination of this website, the feasibility at the preset network of this site deployment can be judged.
It should be noted that, other the corresponding descriptions in the device of the base station selection provided in the embodiment of the present invention corresponding to each unit, the correspondence in reference diagram 1 can describe, do not repeat them here.
The device of the base station selection that the embodiment of the present invention provides can realize the above-mentioned embodiment of the method provided, and concrete function realizes the explanation referred in embodiment of the method, does not repeat them here.The method of the base station selection that the embodiment of the present invention provides and device go for carrying out addressing to 4G network, but are not limited only to this.
One of ordinary skill in the art will appreciate that all or part of flow process realized in above-described embodiment method, that the hardware that can carry out instruction relevant by computer program has come, described program can be stored in a computer read/write memory medium, this program, when performing, can comprise the flow process of the embodiment as above-mentioned each side method.Wherein, described storage medium can be magnetic disc, CD, read-only store-memory body (Read-Only Memory, ROM) or random store-memory body (Random Access Memory, RAM) etc.
The above; be only the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, is anyly familiar with those skilled in the art in the technical scope that the present invention discloses; the change that can expect easily or replacement, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection range of claim.

Claims (10)

1. a method for base station selection, is characterized in that, comprising:
According to existing network, obtain the evaluate parameter of website, described evaluate parameter is business value, perceived value, interference characteristic and any one optimized in feasibility or combination in any;
According to described evaluate parameter, determine whether at the preset network of described site deployment.
2. the method for base station selection according to claim 1, is characterized in that, described method also comprises:
Obtain the data traffic of described existing network, and support the terminal accounting of described preset network;
According to formula V t=T*k* Γ, calculates described business and is worth, wherein, and V tfor described business is worth, T is the data traffic of described existing network, and k is the flow coefficient between described preset network and described existing network, and Γ is the terminal accounting of described preset network.
3. the method for base station selection according to claim 1, is characterized in that, described method also comprises:
Obtain the data traffic of described existing network, the weak covering sampling number of described existing network, described existing network sampling always count, and the cubage correction coefficient of described existing network;
According to formula calculate described perceived value, wherein, V ffor described perceived value, T is the data traffic of described existing network, n weakfor the weak covering sampling number of described existing network, n totalfor the sampling of described existing network is always counted, σ is the cubage correction coefficient of described existing network.
4. the method for base station selection according to claim 1, is characterized in that, described interference characteristic comprises disturbed coefficient and interference coefficient;
Described method also comprises:
Obtain the total traffic of each wireless link sampling statistics number corresponding respectively, described website, and the main telephone service amount of described website;
According to formula x s = N 22 + N 23 + N 33 * 2 N 11 + N 12 + N 13 + N 22 + N 23 + N 33 * 100 % , Calculate described disturbed coefficient, and according to formula x a = T total - T best T total * N 22 + N 23 + N 33 N 12 + N 13 + N 22 + N 23 + N 33 * 100 % , Calculate described interference coefficient, wherein, x sfor described disturbed coefficient, x afor described interference coefficient, N ijfor the sampling statistics number that i base station j wireless link is corresponding, T totalfor the total traffic of described website, T bestfor the main telephone service amount of described website.
5. the method for base station selection according to claim 1, is characterized in that, described method also comprises:
Obtain the high and covering radius in the station of described website;
According to formula calculate target angle of declination, wherein, θ is described target angle of declination, and the value of described target angle of declination is for characterizing described optimization feasibility, and R is described covering radius, and H is that the station of described website is high.
6. a device for base station selection, is characterized in that, described device comprises:
Acquiring unit, for according to existing network, obtains the evaluate parameter of website, and described evaluate parameter is business value, perceived value, interference characteristic and any one optimized in feasibility or combination in any;
Determining unit, for the described evaluate parameter obtained according to described acquiring unit, determines whether at the preset network of described site deployment.
7. the device of base station selection according to claim 6, is characterized in that, described acquiring unit comprises: data traffic acquisition module, terminal accounting acquisition module, business value calculation module;
Described data traffic acquisition module, for obtaining the data traffic of described existing network;
Described terminal accounting acquisition module, for obtaining the terminal accounting supporting described preset network;
Described business value calculation module, for according to formula V t=T*k* Γ, calculates described business and is worth, wherein, and V tfor described business is worth, T is the data traffic of the described existing network that described data traffic acquisition module obtains, k is the flow coefficient between described preset network and described existing network, and Γ is the terminal accounting of the described preset network that described terminal accounting acquisition module obtains.
8. the device of base station selection according to claim 6, it is characterized in that, described acquiring unit comprises: data traffic acquisition module, weak covering sampling number acquisition module, acquisition module, cubage correction coefficient acquisition module, the perceived value computing module of always counting of sampling;
Described data traffic acquisition module, for obtaining the data traffic of described existing network;
Described weak covering sampling number acquisition module, for obtaining the weak covering sampling number of described existing network;
Described sampling is always counted acquisition module, always counts for the sampling obtaining described existing network;
Described cubage correction coefficient acquisition module, for obtaining the cubage correction coefficient of described existing network;
Described perceived value computing module, for according to formula calculate described perceived value, wherein, V ffor described perceived value, T is the data traffic of the described existing network that described data traffic acquisition module obtains, n weakfor the weak covering sampling number of the described existing network that described weak covering sampling number acquisition module obtains, n totalfor the described sampling sampling of described existing network that acquisition module obtains of always counting always is counted, σ is the cubage correction coefficient of the described existing network that described cubage correction coefficient acquisition module obtains.
9. the device of base station selection according to claim 6, is characterized in that, described acquiring unit comprises: sampling statistics number acquisition module, total traffic acquisition module, main telephone service amount acquisition module, interference characteristic computing module;
The described interference characteristic that described acquiring unit obtains comprises disturbed coefficient and interference coefficient;
Described sampling statistics number acquisition module, for obtaining each wireless link sampling statistics number corresponding respectively;
Described total traffic acquisition module, for obtaining the total traffic of described website;
Described main telephone service amount acquisition module, for obtaining the main telephone service amount of described website;
Described interference characteristic computing module, for according to formula x s = N 22 + N 23 + N 33 * 2 N 11 + N 12 + N 13 + N 22 + N 23 + N 33 * 100 % , Calculate described disturbed coefficient, and according to formula x a = T total - T best T total * N 22 + N 23 + N 33 N 12 + N 13 + N 22 + N 23 + N 33 * 100 % , Calculate described interference coefficient, wherein, x sfor the described disturbed coefficient that described acquiring unit obtains, x afor the described interference coefficient that described acquiring unit obtains, N ijfor the sampling statistics number that the i base station j wireless link of described sampling statistics number acquisition module acquisition is corresponding, T totalfor the total traffic of the described website that described total traffic acquisition module obtains, T bestfor the main telephone service amount of the described website that described main telephone service amount acquisition module obtains.
10. the device of base station selection according to claim 6, is characterized in that, described acquiring unit comprises: high acquisition module of standing, covering radius acquisition module, target angle of declination computing module;
The high acquisition module in described station is high for the station obtaining described website;
Described covering radius acquisition module, for obtaining covering radius;
Described target angle of declination computing module, for according to formula calculate target angle of declination, wherein, θ is described target angle of declination, and the value of described target angle of declination is for characterizing described optimization feasibility, R is the described covering radius that described covering radius acquisition module obtains, and H is that the station of the described website that the high acquisition module in described station obtains is high.
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CN107517465A (en) * 2016-06-17 2017-12-26 中国移动通信集团上海有限公司 A kind of screening technique and device to FDD-LTE base station sites
CN108235362A (en) * 2017-12-13 2018-06-29 中国联合网络通信集团有限公司 A kind of assessing network method and device
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CN109996245A (en) * 2017-12-31 2019-07-09 中国移动通信集团四川有限公司 The communication resource launches appraisal procedure, device, electronic equipment and storage medium
CN110831019A (en) * 2019-12-04 2020-02-21 中通服建设有限公司 Base station planning method, base station planning device, computer equipment and storage medium

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CN105050121A (en) * 2015-08-20 2015-11-11 中国联合网络通信集团有限公司 Sector optimizing method and device
CN105228164A (en) * 2015-10-14 2016-01-06 中国联合网络通信集团有限公司 A kind of Pre-Evaluation method that site is multiplexing and device
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CN107517465A (en) * 2016-06-17 2017-12-26 中国移动通信集团上海有限公司 A kind of screening technique and device to FDD-LTE base station sites
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CN105898766A (en) * 2016-06-22 2016-08-24 中国联合网络通信集团有限公司 Base station planning method and apparatus
CN106851669A (en) * 2017-02-06 2017-06-13 中国铁塔股份有限公司 A kind of wireless site Valuation Method and system
WO2019037683A1 (en) * 2017-08-23 2019-02-28 中兴通讯股份有限公司 Base station deployment method and device
CN108235362A (en) * 2017-12-13 2018-06-29 中国联合网络通信集团有限公司 A kind of assessing network method and device
CN108235362B (en) * 2017-12-13 2021-04-16 中国联合网络通信集团有限公司 Network evaluation method and device
CN109996245A (en) * 2017-12-31 2019-07-09 中国移动通信集团四川有限公司 The communication resource launches appraisal procedure, device, electronic equipment and storage medium
CN110831019A (en) * 2019-12-04 2020-02-21 中通服建设有限公司 Base station planning method, base station planning device, computer equipment and storage medium

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