CN102395136A - Telephone traffic distribution calculation method based on neighbor cell field intensity information and system thereof - Google Patents
Telephone traffic distribution calculation method based on neighbor cell field intensity information and system thereof Download PDFInfo
- Publication number
- CN102395136A CN102395136A CN2011103445268A CN201110344526A CN102395136A CN 102395136 A CN102395136 A CN 102395136A CN 2011103445268 A CN2011103445268 A CN 2011103445268A CN 201110344526 A CN201110344526 A CN 201110344526A CN 102395136 A CN102395136 A CN 102395136A
- Authority
- CN
- China
- Prior art keywords
- grid
- telephone traffic
- antenna
- cluster
- traffic
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Landscapes
- Mobile Radio Communication Systems (AREA)
Abstract
The invention provides a telephone traffic distribution calculation method based on neighbor cell field intensity information and a system thereof. The method comprises the following steps: A, carrying out meshing on an area to be calculated of telephone traffic distribution, obtaining average filed intensity lists of different antennas received by each grid; B, carrying out clustering on grids in the area to be calculated of telephone traffic distribution, and forming primary service area grid clustering division of different antennas; C, collecting a measurement data report and total telephone traffic data generated by each antenna within a period in the area to be calculated of telephone traffic distribution; D, by utilizing the measurement data report and total telephone traffic data of each antenna, the primary service area grid clustering division, and the average filed intensity list of different antennas received by each grid, calculating telephone traffic distribution of each grid in the area to be calculated. According to the method and the system in the invention, service quality of a mobile communication network is substantially raised, and work efficiency of communication network programming and optimizing personnel are raised.
Description
Technical field
The present invention relates to wireless communication field, relate to a kind of telephone traffic Distribution calculation method and system, belong to mobile communication network planning and optimization problem based on adjacent area field intensity information.
Background technology
Current, distribute through the mobile communications network telephone traffic and to describe mobile communications network ruuning situation and characteristics, be the effective ways that improve mobile communication network planning quality and efficient.Generally speaking, waiting to plan that the distribution situation that obtains telephone traffic in the zone is one step of key in mobile communication network planning and the optimization, also be the basis of the network planning.
Because of the theory analysis difficulty of calculating the traffic distribution problem higher; Computation complexity is bigger; Present document both domestic and external focuses mostly in the traffic location and telephone traffic conversion problem of single travelling carriage (mobile phone); Its document of traffic distribution problem and patent for the magnanimity travelling carriage is formed are less, and the words cloth computational methods of formation can be summed up as following two types:
Prior art one: set up the user experience model, on map, delimit different zones, input telephone traffic, user behavior, whether be various parameters such as commerce or residential area, distribute thereby generate traffic by the user of planning system.
Aforesaid way delimited polygonal region through man-machine interface, carry out the area attribute setting to delimiting different zones by hand, like the shopping centre, and residential area etc.Flow and work, the laggard jargon affair of life characteristic gauge are drawn at this area people of prediction.This experience for the engineering staff is had relatively high expectations, and also inaccuracy of the method for manual defined area, and the zone is general bigger, and being provided with of telephone traffic is more coarse, thereby brings very big error to network simulation.The wireless network planning software of at present domestic and international main flow still adopts the telephone traffic analysis function of this mode.On the basis of this method; Formed the typical application of some combining geographic information systems, " confirming the method and apparatus that traffic distributes in a kind of network simulation " Chinese patent that proposes like China Mobile Communication Group Design Institute Co., Ltd. numbers 200810104660.9.The characteristics of above-mentioned patent are the traffic density that it has utilized different regions, and key elements such as combining geographic information system have formed the traffic distribution in different regions.Obtaining of traffic density has certain subjectivity, and initial data is not a measured data.In addition, this patent is mainly used in network performance emulation, and simulation result is that the approximate of real network appeared, but not actual appearing.
Prior art two: in the wireless network planning system; Base station data through fan-in network, propagation model data etc. are carried out coverage prediction;, base station data and coverage prediction form traffic spirogram layer through being combined, through producing the traffic distribution of the network that institute will plan behind the convergent-divergent.This is the developing direction of following traffic planning application; Its characteristics are: be used to constitute the initial data that traffic distributes and be mainly derived from base station equipment; Need not careful understanding planning zone characteristics and should place, zone personnel work, life behavioral characteristic, can form comparatively objective traffic distribution map.Present domestic typical application, " a kind of method and system of gridding communication network call distribution " Chinese patent that proposes like Guangdong mobile communication Co., Ltd numbers 200810219426.0.The characteristics of above-mentioned patent be with map is discrete become the net region after, NCS data, the geography information key element of utilizing base station controller to provide carried out telephone traffic and distributed.The different geographic key element, like road, building, greenery patches etc., the telephone traffic of distribution is set different assigning weight, but the setting of weight needs certain experience and has subjectivity.
This patent also belongs to second class methods; But be that with patent 200810219426.0 differences this patent abandoned most of patents or document carry out the traffic Distribution calculation by geographic element link for the objectivity, the accuracy that embody traffic and distribute; But the region mode cluster is carried out in the tabulation that has made full use of each adjacent area antenna field intensity in the mobile phone for measuring data report that base station controller provides; Distribute telephone traffic on this basis in different mode division; Utilize the difference of each grid field intensity in the mode division again, the further FINE DISTRIBUTION of telephone traffic that pattern clustering is assigned to need not artificial subjective any allocation of parameters of confirming in the whole traffic distribution process in each grid; Guaranteed the objectivity that traffic distributes, accuracy.In addition, the inventive principle model of this patent can guarantee that the telephone traffic jumping characteristic before adjacent two grids is little, meets the traffic actual conditions under the mobile communications network running status.
In addition; " based on GIS telephone traffic distribution rendering method and system " Chinese patent 200910243047.X that Divine Land, Beijing Tai Yue software limited company proposes also relates to the method that the base station call amount distributes; But this method mainly depends on generalized information system carries out traffic distribution estimation; Do not utilize mobile phone to report all kinds of measured datas of base station, have obviously different with this patent.Can't accomplish objective, traffic distribution exactly.
Summary of the invention
Technology of the present invention is dealt with problems: the deficiency that overcomes prior art; A kind of telephone traffic Distribution calculation method and system based on adjacent area field intensity information are provided; These method and system can obtain the telephone traffic distribution map of section preset time, can access accurate wireless network at a time between the section the telephone traffic distribution situation.
Technical solution of the present invention: a kind of telephone traffic Distribution calculation method based on adjacent area field intensity information, performing step is following:
Step S01: the telephone traffic regional network to be calculated that distributes is formatted, obtain the average field-strength tabulation of the received different antennae of each grid;
Step S02: utilize the average field-strength tabulation of different antennae in each grid, the grid that telephone traffic is distributed in the zone to be calculated carries out cluster, and the primary service area grid cluster that forms different antennae is divided;
Step S03: gather the telephone traffic measurement data that each antenna generates under certain period in the zone to be calculated that distributes and report and the total traffic data;
Step S04: utilize the average field-strength tabulation of measurement data report and the total traffic thereof of each antenna, primary service area grid cluster is divided, each grid is received different antennae to calculate the telephone traffic distribution situation of each grid in the zone to be calculated.
Among the said step S01, the tabulation of the average field-strength of the different antennae that each grid is received comprises that the received different antennae average field-strength ordering back of each grid forms the antenna identification list and this antenna identifies pairing average field-strength value.
Among the said step S04, utilize measurement data report and total traffic thereof, the primary service area grid cluster of each antenna to divide to calculate the telephone traffic that should the distribute size of each grid cluster in dividing; In each cluster was divided, the telephone traffic that generates this grid according to each grid field intensity tabulation assigned weight, and the telephone traffic that each cluster is divided is distributed to each grid by each mesh Weight in it.
Certain period among the said step S03 refers to a time period unit, comprises one day, when early late or busy perhaps a certain hour.
Among the said step S03; The report of said measurement data write down under certain period in certain antenna primary service area each just in use mobile phone for measuring and form adjacent area antenna field intensity ranked list after report the base station, certain neighbor base station that the base station counts is as the statistics of the number of times that occurs under a certain field intensity rank order, average field-strength value.
Further be embodied as among the said step S02: utilize the average field-strength value of the peripheral antenna that is write down in each grid in the primary service area to sort; Putting in order of record these antenna sign; By the some forced-ventilateds of the branch that puts in order, the grid that has the same antenna sign at every persistent erection constitutes this strong cluster division, and every strong division can be different; Each strong cluster is divided and is accomplished the back and divide stack by force to all each, forms finer telephone traffic distribution cluster areas.
Computing formula among the said step S04 does
ρ wherein
sBe the telephone traffic that each cluster areas s distributes, δ
KlFor the conduct k in the measurement data report of each antenna is strong, the number of times that counts in l cluster areas divided,
Be the number of times that counts on of measurement data report that strong all cluster areas of k are divided with, Ω is the sub-district total traffic, w
kBe to the strong predefined weighted value of k, provide according to the tabulation of the average field-strength of different antennae that high certain of general field intensity value is strong, its weighted value is high, and low certain of field intensity value is strong, and its weighted value is low.All each strong weighted value sums are 1, that is:
A kind of realization system for carrying out said process comprises like lower module:
(1) data acquisition module, measurement data report, traffic data, each grid field strength distribution data of being used to gather certain antenna in certain time period;
(2) telephone traffic distribution module utilizes the average field-strength tabulation of measurement data report and the total traffic thereof of each antenna, primary service area grid cluster is divided, each grid is received different antennae to calculate the telephone traffic distribution condition of each grid;
(3) start module, be used to start the traffic distribution process of next unit interval.
Principle of the present invention: the antenna identification list (α that can obtain the received different antennae average field-strength ordering of each grid through the mathematics approximating method in sweep measurement or the wireless network planning software on the spot
1, α
2..., α
n) and antenna average field-strength value (β
1, β
2..., β
n) tabulation (it is strong to have just listed out preceding n here).The last 1 antenna sign α
1Identical grid belongs to antenna α
1The primary service area, the net region that Fig. 1 convexity chartered steamer profile is comprised is antenna α
1The primary service area.GSMs such as GSM can be at a time between the section measurement data report of gathering each antenna in the appointed area, the interior primary service area α of section preset time has intactly been write down in the measurement data report
1The adjacent area antenna that interior mobile phone reports (total m the antenna of supposition) identification list (γ as adjacent area the last 1
11, γ
12..., γ
1m) and occurrence number (δ
11, δ
12..., δ
1m), the adjacent area antenna identification list (γ that reports as adjacent area the last 2
21, γ
22..., γ
2m) and corresponding occurrence number (δ
21, δ
22..., δ
2m), and the adjacent area antenna identification list (γ that n reports by force to the adjacent area
N1, γ
N2..., γ
Nm) and corresponding occurrence number (δ
N1, δ
N2..., δ
Nm).
To combine be emphasis of the present invention in the different geographical distributions position of each grid in the measurement data report that can embody the telephone traffic distributed intelligence and the primary service area.Certain antenna primary service area internal traffic Distribution calculation strategy can be embodied by following mathematical optimization model:
X wherein
iRepresent in the current primary service area telephone traffic that should distribute in i the grid; C
KlBe the strong telephone traffic of k of l the adjacent area in this district, obtain after the statistics number data transaction during it is reported by measurement data; N
KlRepresent that l adjacent area is in the strong cluster areas of this primary service area k.The target function of model has embodied between adjacent mesh telephone traffic and has distributed and keep fluctuation minimum as far as possible, fierce saltus step can not occur, meets the traffic actual conditions under the mobile communications network running status fully.Constraints has embodied the principle that telephone traffic distributes need to distribute according to primary service area field intensity cluster pattern.Generally speaking, the optimal model of the type lagrange's method of multipliers capable of using or Means of Penalty Function Methods are found the solution.But this type derivation algorithm is because of being measured the restriction of data report times of collection; Can't directly obtain traffic data; Above-mentioned algorithm receives the restriction of factors such as computational efficiency and calculating scale simultaneously; Be not suitable in the present invention, using; Therefore the present invention accomplishes the telephone traffic distribution through following step on this model basis, is called " based on the telephone traffic Distribution calculation method of adjacent area field intensity information " Traffic Distribution Computing Method based on Neighbors ' Field Strength (TDCMNFS):
Telephone traffic is distributed zone to be calculated according to urban core district and suburb divide into several classes's type.The base station, city mainly adopts Pico cell and traffic densely distributed, need be with than fine grid blocks discretization being carried out in telephone traffic zone to be allocated.Microcellulor or macrocellular are adopted in the base station, suburb more, and traffic density is low, can be with than coarse grid discretization being carried out in telephone traffic zone to be allocated.Mathematics fit method through in sweep measurement or the wireless network planning software on the spot provides the antenna identification list (α that the received whole antenna average field-strengths of each grid sort from high to low
1, α
2..., α
n) and average field-strength value (β
1, β
2..., β
n) tabulation (it is strong to have just listed out preceding n here).
At antenna α
1The primary service area grid in, the antenna identification list (α that utilizes each grid different antennae average field-strength to sort from high to low
1, α
2..., α
n), the last the 1 (α from the adjacent area one by one
2) to the strong (α of adjacent area n-1
n) carry out the net region cluster, the grid cluster of adjacent area the last 1 is divided referring to Fig. 1 (being divided into 6 cluster areas among the embodiment), and the cluster areas of adjacent area the last 2 is divided referring to Fig. 2 (being divided into 5 cluster areas among the embodiment).Some kinds of primary service area cluster results that formed are superposeed, form the some strong stack clusters of field intensity as shown in Figure 3 and divide.
The report of said measurement data write down under certain period each mobile phone for measuring certain antenna primary service area in and each neighbor base station of reporting as number of times of certain strong appearance, the statistics of average field-strength value.The measurement report of different antennae preset time section obtain by the Abis interface of base station controller.The total traffic data of each antenna can if the total traffic data occur gathering or to occur disappearance, can dope the telephone traffic of each antenna of this period through the method for traffic forecast by base station controller statistics and directly output.
To antenna α
1The primary service area, with adjacent area the last 1 antenna tabulation (γ in this antenna measurement data report
11, γ
12..., γ
1m), with α
1The primary service area in the last the 2 (α of each grid
2) the antenna sign of cluster areas is complementary, and obtains statistics number (δ corresponding in each cluster areas
11, δ
12..., δ
1m), referring to the statistics number of distributing in each cluster district after the area dividing among Fig. 1.In like manner can obtain the statistics number in some each cluster areas by force in adjacent area the last 2 to adjacent area.In order to obtain the telephone traffic ρ that each cluster areas s distributes
s, can construct following computing formula:
W wherein
kBe each strong calculating weight of adjacent area, provide according to the tabulation of the average field-strength of different antennae that high certain of general field intensity value is strong, its weighted value is high, and low certain of field intensity value is strong, and its weighted value is low.All each strong weighted value sums are 1, that is:
Ω is the sub-district total traffic.Consider that order policies that mobile operator inserts traffic is (in gsm mobile communication system; The indoor station of general access earlier; Next inserts the GSM1800 station; Insert the characteristics at GSM900 station at last) and indoor station exist indoor covering to leak into outdoor problem; Can be in the difference of each each grid average field-strength value of cluster areas inner utilization that superposes; Statistics number to this zone is assigned to is carried out smoothly:
the telephone traffic of adjacent mesh after level and smooth fierce saltus step can not appear, meet the actual conditions that traffic distributes more.G wherein
sBe the grid number in the regional s.w
pBe the coupling weight after the consideration mean field value information p effect.x
iRepresent in the current primary service area telephone traffic that should distribute in i the grid.Utilize x
iTraffic data, form the traffic distribution amount of each grid in this antenna primary service area.
The present invention also provides a kind of telephone traffic distributed computing system based on adjacent area field intensity information, comprising:
Data acquisition module is used to gather measurement data report, traffic data, each grid field strength distribution data of certain time period internal traffic regional internal antenna to be calculated etc.;
The traffic distribution module, utilize zone that the primary service area pattern clustering obtains and measurement data report adjacent area the last 1 to the adjacent area some strong telephone traffic assignment information, obtain the telephone traffic distribution in zone to be calculated according to TDCMNFS.
Particularly, also comprise the startup module, be used to start the telephone traffic Distribution calculation process of next time period.
Said data acquisition module comprises: measurement data report collecting unit, traffic data collecting unit, grid field strength distribution data acquisition unit.
Said telephone traffic Distribution calculation module comprises: region clustering unit, cluster areas telephone traffic Distribution calculation unit.
The invention has the beneficial effects as follows: the present invention is through in each antenna primary service area; Structure is by the grid cluster areas of different adjacent area antenna influences; Utilize the statistical information of adjacent area different antennae in the base station measurement data report, form telephone traffic Distribution calculation scheme, and telephone traffic is shared in the different cluster areas; And then the reallocation telephone traffic gets into each grid of cluster areas; The mobile communications network telephone traffic Distribution calculation method and system that form thus can obtain the telephone traffic distribution map of section preset time, obtain mobile communication network at a time between in the section regional internal traffic to be calculated distribute; Disclose wireless network at a time between the telephone traffic distribution situation of section, be wireless network planning better serves with optimizing.
Description of drawings
Fig. 1 is the inner cluster areas sketch map of primary service area scope and adjacent area the last 1;
Fig. 2 is the inner cluster areas sketch map of adjacent area the last 2 in the primary service area
Fig. 3 is that sketch map is divided in the stack that some adjacent areas cluster is divided after superposeing jointly in the primary service area;
Fig. 4 the present invention implements the flow chart of wireless traffic amount Distribution calculation method;
Fig. 5 the present invention implements the structural representation of wireless traffic amount distributed computing system;
Fig. 6 the present invention implements the detailed structure sketch map of wireless traffic amount distributed computing system.
Embodiment
For making the present invention be more prone to understand, in conjunction with accompanying drawing the present invention is done further elaboration, but the embodiment in the accompanying drawing does not constitute to any restriction of the present invention.
The present invention is at first by whether being the net regions that urban core district or suburb are divided into the zoning different sizes.Through to measurement data report, unit grids field strength distribution data as the algorithm that the input content proposes in to specifications, distribute telephone traffic to each grid cell.In considering identical cluster areas, under the field intensity value situation of change of each grid, the telephone traffic of each grid is carried out smoothly finally obtaining the telephone traffic distribution situation of each grid in the cordless communication network.
Fig. 4 shows the flow chart of the wireless traffic amount Distribution calculation method that the embodiment of the invention provides, and this method may further comprise the steps:
Step S01: the telephone traffic regional network to be calculated that distributes is formatted, obtain the average field-strength tabulation of the received different antennae of each grid.
Described grid comprises this grid overall situation numbering and adjacent area antenna sign and the tabulation of field intensity mean value; The unit grids fineness degree can be according to 1) urban core district, suburb etc. classify, with meticulous, etc. size cover the urban core districts like 5 meters * 5 meters grids; 2) cover the suburb with thick like 15 meters * 15 meters grids.The antenna for base station average field-strength signal of said each grid is to obtain through two kinds of approach; 1) obtains through the mode of frequency sweep on the spot; The title and the average field-strength value list of 10-20 the antenna that sweep generator can obtain receiving under certain position (this position can by discretization to certain concrete grid), selected from big to small preceding 6 antennas sign and the average field-strength value lists that can regard as this grid of field intensity value; 2) through the mathematical method in the wireless network planning Optimization Software some discrete field survey data are carried out data fitting, obtain the antenna sign and the field intensity value list of each grid.
Step S02: utilize the average field-strength tabulation of different antennae in each grid, the grid that telephone traffic is distributed in the zone to be calculated carries out cluster, and the primary service area grid cluster that forms different antennae is divided;
Said region clustering is following: confirming the current antenna sign that will calculate; Behind TX1; Search the grid that all the last one antennas are designated TX1 according to the antenna field intensity in grid height sorted lists, these grids have constituted the primary service area (referring to peripheral convex closure curve institute region in the accompanying drawing 1) of antenna TX1.In this primary service area grid, the last the 2 antenna grid that name is called NTX6 has 12, can assert that antenna NTX6 influence area is labeled as green grid for 12 among Fig. 1.The related grid of the last 2 antenna tabulation of other antenna sign has constituted the cluster areas of other antenna.The primary service area of Fig. 1 has been marked off 6 such cluster areas altogether.In like manner, adjacent area the last 2 (grid field intensity tabulate the last 3) divided as shown in Figure 2 to the cluster of primary service area, corresponding geographical position be divided into 16 grids.Fig. 3 has provided the situation after the several times field strength pattern stack cluster, and the field intensity list ordering of each grid is identical in each stack cluster areas, and the field intensity tabulation of grid is all inequality in the different stack cluster areas.In the stack cluster areas in the corresponding geographical position of present embodiment 9 grids are arranged.
Step S03: gather telephone traffic distribute regional internal antenna to be calculated at a time the measurement data report that generates down of section and in this time period each antenna total traffic data.
The report of wherein said measurement data has intactly been write down in certain time period in each antenna primary service area under the mobile phone communication state, and (the 1st to maximum about the 70th, 80) is big or small to some strong accumulative total occurrence numbers and average field-strength the last 1 for each adjacent area antenna.Generally speaking, GSM such as GSM can be gathered the measurement data report of each antenna in the appointed area automatically according to the unit interval.The measurement data report of reading comprises following field: the Measuring Time section, and the Cell_ID of primary service area, adjacent area BCCH, adjacent area BSIC (BCCH, BSIC can constitute the title of antenna jointly), and: occurrence number the when adjacent area is the last 1 and average field-strength size; Occurrence number when the adjacent area is the last 2 and average field-strength size; Occurrence number when the adjacent area is the last 3 and average field-strength size; Occurrence number when the adjacent area is semi-finals and average field-strength size; Occurrence number when the adjacent area is the last 5 and average field-strength size etc.Example to adjacent area the last 1 is as shown in the table, in like manner can obtain other strong form example of adjacent area:
Table 1 measurement data report example
Said traffic data has write down the telephone traffic of conversing in certain antenna primary service area in the unit interval section, and (unit: Ireland), GSMs such as GSM can be gathered the distribute traffic data of each antenna in the zone to be calculated of telephone traffic automatically according to the unit interval section.Traffic data comprises: traffic measurement time, Cell_ID, full rate telephone traffic, half rate telephone traffic etc. (the half rate traffic generally occurs under special circumstances, does not do the traffic Distribution calculation and uses).
Table 2 antenna traffic data example
Step S04: utilize the average field-strength tabulation of measurement data report and the total traffic thereof of each antenna, primary service area grid cluster is divided, each grid is received different antennae to calculate the telephone traffic distribution situation of each grid in the zone to be calculated.
Telephone traffic Distribution calculation method example is following: the measurement data report (table 1) of reading antenna TX1.Find its adjacent area the last one and have six adjacent antennas and constitute, and NTX1 has 15 times, NTX2 and has 20 times, NTX3 and have 35 times, NTX4 and have 50 times, NTX5 and have 60 times, NTX6 and have 70 times.The title (six altogether) of grid adjacent area the last 1 in the primary service area of confirming among the finding step S02 (grid field intensity tabulate the last 2); The statistics number of this adjacent area antenna NTX6 in the MR data is marked in this cluster areas for 70 times, and showing in these 12 grid geographic areas has statistics number 70 times under this period.Figure notation among Fig. 1 in other each cluster areas is all represented the statistics number distribution situation of each adjacent area antenna.And the like can the statistics number of adjacent area the last 2 to adjacent area the last 6 in the measurement data report be distributed in the cluster areas that corresponding adjacent area the last 2 to adjacent area the last 6 adjacent area antenna influences.Telephone traffic Distribution calculation with formula
cluster areas that superposes.Ω is the sub-district total traffic, ρ
sBe the telephone traffic that each cluster areas s distributes, δ
KlStrong in the report of the measurement data of each antenna as k, l cluster areas divided the interior number of times that counts on,
Be the number of times that counts on of measurement data report that strong all cluster areas of k are divided with.w
kBe to the strong predefined weighted value of k, tabulating according to the average field-strength of different antennae provides.
Fig. 3 has showed the effect after the stack cluster areas in the present embodiment, for the green stack cluster district demarcated in the calculating chart 3 telephone traffic abundance ρ of totally 9 grids
s, can confirm following data earlier: the 6 strata classes that superposeed altogether zone, k=6; The plan that obtains this primary service area is carried out the Ω of telephone traffic Distribution calculation=10 Ireland; Set the following w of each strong weight coefficient of adjacent area
1=0.3, w
2=0.3, w
3=0.2, w
4=0.1, w
5=0.05, w
6=0.05; The δ that adjacent area the last one calculated in the corresponding region
1s=70,
The rest may be inferred, can calculate the δ of adjacent area the last 2 to adjacent area the last 6
2s=30, δ
3s=40, δ
4s=20, δ
5s=50, δ
6s=30;
Finally can calculate these 9 grids telephone traffic that distributes jointly is ρ
s=1.4505 Ireland.Consider that order policies that mobile operator inserts traffic is (in gsm mobile communication system; The indoor station of general access earlier; Next inserts the GSM1800 station; Insert the characteristics at GSM900 station at last) and indoor station exist indoor covering to leak into outdoor problem, can adjust in the telephone traffic that the difference of the average field-strength value of each cluster areas inner utilization grid that superposes is assigned to these 9 grids:
G wherein
sBe the grid number in the regional s.w
pBe the coupling weight after the consideration mean field value information p effect.x
iRepresent in the current primary service area telephone traffic that should distribute in i the grid.Utilize x
iTraffic data, form the traffic distribution amount of each grid in this antenna primary service area.Set G
s=9, w
p=1, the telephone traffic of each grid is 0.1612 Ireland thus.Other stack cluster areas of primary service area can be calculated with reference to this example, can obtain the telephone traffic of each grid in the antenna TX1 primary service area thus.
Fig. 5 shows the structural representation of a kind of mobile communication telephone traffic distributed computing system corresponding with said method.This system comprises:
Traffic gridding processing module 2 is divided into two types of zones with the telephone traffic zone to be calculated that distributes according to urban core district and suburb, and the little grid big with meticulous grade covers the urban core district, with thick grid covering suburb;
Telephone traffic Distribution calculation module 3, the antenna identification list that utilizes the adjacent area antenna average field-strength in the primary service area grid of given antenna to sort from high to low carries out region clustering, and some little adjacent area antennas are resolved in the primary service area influences cluster areas.Utilize adjacent area antenna tabulation that adjacent area the last 1 in the measurement data report obtain the last 6 that the statistics number in the measurement data report and antenna total traffic are distributed and distribute in the corresponding stack cluster areas, accomplish the stack cluster areas telephone traffic Distribution calculation in the unit interval section by TDCMNFSF.The different dialogue affair amount of each grid field intensity mean value is carried out smoothly in each stack cluster areas inner utilization should the zone, avoids the traffic between the adjacent mesh to have than great fluctuation process;
Fig. 6 shows the detailed structure sketch map of system shown in Fig. 5.
Wherein data acquisition module 1 comprises: measurement data report collecting unit 101, traffic data collecting unit 102, unit grids field strength distribution data acquisition unit 103.
Wherein traffic drafting module 3 comprises: region mode cluster cell 301, cluster areas telephone traffic Distribution calculation unit 302, telephone traffic smooth unit 303.
Cluster areas telephone traffic Distribution calculation unit 302, the adjacent area antenna tabulation that utilizes adjacent area the last 1 in the measurement data report to obtain the last 6 is distributed to statistics number in the measurement data report and antenna total traffic in the corresponding cluster areas by the telephone traffic Distribution calculation method of TDCMNFS;
The data that unit grids field strength distribution data acquisition unit 103 is gathered send gridding processing module 2 to, form the zoning of gridding by it.The geographic area that gridding processing module 2 is accomplished sends region mode cluster cell 301 to, is formed for the cluster areas that telephone traffic distributes.MR measurement data acquisition unit 101, traffic data collecting unit 102, and the cluster areas that forms of unit 301 pass to cluster areas telephone traffic allocation units 302, calculate the telephone traffic of the cluster zoning that respectively superposes.Telephone traffic smooth unit 303 divide according to the cluster areas of region mode cluster cell 301 and each cluster zoning of traffic data collecting unit 302 in the field intensity value of each grid distribute; It is level and smooth to carry out traffic; Avoid in the zone, producing traffic than great fluctuation process, finally obtain the telephone traffic apportioning cost of each grid.
The present invention can careful, objectively present the telephone traffic geographical distribution situation of network appointed areas such as GSM; Can also further show the current intelligence that traffic distributes the time is changed.According to the telephone traffic situation of unit interval, unit grids, carry out the network planning and optimizations such as GSM.The telephone traffic distribution method of appointed area and result also can be used for GSM with WCDMA etc. hybrid network planning.
The above is a preferred implementation of the present invention; Certainly can not limit the present invention's interest field with this; Should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the principle of the invention; Can also make some improvement and change, these improvement and change also are regarded as protection scope of the present invention.
Claims (8)
1. telephone traffic Distribution calculation method based on adjacent area field intensity information is characterized in that performing step is following:
Step S01: the telephone traffic regional network to be calculated that distributes is formatted, obtain the average field-strength tabulation of the received different antennae of each grid;
Step S02: utilize the average field-strength tabulation of different antennae in each grid, the grid that telephone traffic is distributed in the zone to be calculated carries out cluster, and the primary service area grid cluster that forms different antennae is divided;
Step S03: gather the telephone traffic measurement data that each antenna generates under certain period in the zone to be calculated that distributes and report and the total traffic data;
Step S04: utilize the average field-strength tabulation of measurement data report and the total traffic thereof of each antenna, primary service area grid cluster is divided, each grid is received different antennae to calculate the telephone traffic distribution situation of each grid in the zone to be calculated.
2. the telephone traffic Distribution calculation method based on adjacent area field intensity information according to claim 1; It is characterized in that: among the said step S01, the tabulation of the average field-strength of the different antennae that each grid is received comprises that the received different antennae average field-strength ordering back of each grid forms the antenna identification list and this antenna identifies pairing average field-strength value.
3. the telephone traffic Distribution calculation method based on adjacent area field intensity information according to claim 1; It is characterized in that: among the said step S04, utilize measurement data report and total traffic thereof, the primary service area grid cluster of each antenna to divide to calculate the telephone traffic that should the distribute size of each grid cluster in dividing; In each cluster was divided, the telephone traffic that generates this grid according to each grid field intensity tabulation assigned weight, and the telephone traffic that each cluster is divided is distributed to each grid by each mesh Weight in it.
4. the telephone traffic Distribution calculation method based on adjacent area field intensity information according to claim 1, it is characterized in that: certain period among the said step S03 refers to a time period unit, comprises one day, when early late or busy perhaps a certain hour.
5. the telephone traffic Distribution calculation method based on adjacent area field intensity information according to claim 1; It is characterized in that: among the said step S03; The report of said measurement data write down under certain period in certain antenna primary service area each just in use mobile phone for measuring and form adjacent area antenna field intensity ranked list after report the base station, certain neighbor base station that the base station counts is as the statistics of the number of times that occurs under a certain field intensity rank order, average field-strength value.
6. the telephone traffic Distribution calculation method based on adjacent area field intensity information according to claim 1; It is characterized in that: further be embodied as among the said step S02: utilize the average field-strength value of the peripheral antenna that is write down in each grid in the primary service area to sort; Putting in order of record these antenna sign; By the some forced-ventilateds of the branch that puts in order, the grid that has the same antenna sign at every persistent erection constitutes this strong cluster division, and every strong division can be different; Each strong cluster is divided and is accomplished the back and divide stack by force to all each, forms finer telephone traffic distribution cluster areas.
7. the telephone traffic Distribution calculation method based on adjacent area field intensity information according to claim 1, it is characterized in that: the computing formula among the said step S04 does
ρ wherein
sBe the telephone traffic that each cluster areas s distributes, δ
KlFor the conduct k in the measurement data report of each antenna is strong, the number of times that counts in l cluster areas divided,
Be the number of times that counts on of measurement data report that strong all cluster areas of k are divided with, Ω is the sub-district total traffic, w
kBe to the strong predefined weighted value of k, tabulating according to the average field-strength of different antennae provides.
8. system that realizes the said method of claim 1 is characterized in that comprising like lower module:
(1) data acquisition module, measurement data report, traffic data, each grid field strength distribution data of being used to gather certain antenna in certain time period;
(2) telephone traffic distribution module utilizes the average field-strength tabulation of measurement data report and the total traffic thereof of each antenna, primary service area grid cluster is divided, each grid is received different antennae to calculate the telephone traffic distribution condition of each grid;
(3) start module, be used to start the traffic distribution process of next unit interval.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110344526.8A CN102395136B (en) | 2011-11-04 | 2011-11-04 | Telephone traffic distribution calculation method based on neighbor cell field intensity information and system thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110344526.8A CN102395136B (en) | 2011-11-04 | 2011-11-04 | Telephone traffic distribution calculation method based on neighbor cell field intensity information and system thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102395136A true CN102395136A (en) | 2012-03-28 |
| CN102395136B CN102395136B (en) | 2014-01-15 |
Family
ID=45862326
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201110344526.8A Expired - Fee Related CN102395136B (en) | 2011-11-04 | 2011-11-04 | Telephone traffic distribution calculation method based on neighbor cell field intensity information and system thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102395136B (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103428861A (en) * | 2012-05-18 | 2013-12-04 | 华为技术服务有限公司 | Method and device for redistributing performance indexes of cells |
| CN103974314A (en) * | 2013-01-29 | 2014-08-06 | 中国移动通信集团浙江有限公司 | Telephone traffic calculating method, telephone traffic calculating device and communication system |
| WO2014190528A1 (en) * | 2013-05-30 | 2014-12-04 | 华为技术有限公司 | Network planning and optimization method and apparatus based on service distribution |
| CN104244263A (en) * | 2013-06-06 | 2014-12-24 | 中国移动通信集团浙江有限公司 | Method for establishing inter-cell business distribution relationship and device thereof |
| CN104869577A (en) * | 2014-02-24 | 2015-08-26 | 中国移动通信集团新疆有限公司 | Indoor distribution system telephone traffic absorption extent quantifying method and device thereof |
| CN105723653A (en) * | 2013-11-13 | 2016-06-29 | 高通股份有限公司 | Techniques for determining traffic volumes served over multiple cells of a wireless communication network |
| CN107451847A (en) * | 2016-05-31 | 2017-12-08 | 中国移动通信集团设计院有限公司 | A kind of service area partitioning method and device |
| CN108495256A (en) * | 2018-03-09 | 2018-09-04 | 深圳市网信联动通信技术股份有限公司 | A kind of method and system measuring tidal effect based on 4/5G mobile communications networks |
| CN109246728A (en) * | 2017-07-11 | 2019-01-18 | 中国移动通信集团山东有限公司 | A kind of covering abnormal cell recognition methods and device |
| CN112770381A (en) * | 2021-01-12 | 2021-05-07 | 中国科学院数学与系统科学研究院 | Method and device for adjusting total pilot signal transmission power of each sub-area in area |
| CN115905974A (en) * | 2022-11-04 | 2023-04-04 | 北京科技大学 | Method for detecting abnormal furnace condition of blast furnace |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101426206A (en) * | 2008-11-26 | 2009-05-06 | 中国移动通信集团广东有限公司 | Method and system for gridding communication network call distribution |
| CN101568127A (en) * | 2008-04-22 | 2009-10-28 | 中国移动通信集团设计院有限公司 | Method and device for determining traffic distribution in network simulation |
| CN101621825A (en) * | 2008-11-21 | 2010-01-06 | 中国移动通信集团广东有限公司 | Method for drawing maps by making full use of wireless signal field prediction of actual measurement data and network coverage |
-
2011
- 2011-11-04 CN CN201110344526.8A patent/CN102395136B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101568127A (en) * | 2008-04-22 | 2009-10-28 | 中国移动通信集团设计院有限公司 | Method and device for determining traffic distribution in network simulation |
| CN101621825A (en) * | 2008-11-21 | 2010-01-06 | 中国移动通信集团广东有限公司 | Method for drawing maps by making full use of wireless signal field prediction of actual measurement data and network coverage |
| CN101426206A (en) * | 2008-11-26 | 2009-05-06 | 中国移动通信集团广东有限公司 | Method and system for gridding communication network call distribution |
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103428861B (en) * | 2012-05-18 | 2016-08-10 | 华为技术服务有限公司 | The method and device that a kind of estate performance index reassigns |
| CN103428861A (en) * | 2012-05-18 | 2013-12-04 | 华为技术服务有限公司 | Method and device for redistributing performance indexes of cells |
| CN103974314A (en) * | 2013-01-29 | 2014-08-06 | 中国移动通信集团浙江有限公司 | Telephone traffic calculating method, telephone traffic calculating device and communication system |
| CN103974314B (en) * | 2013-01-29 | 2018-05-11 | 中国移动通信集团浙江有限公司 | A kind of telephone traffic calculates method, apparatus and communication system |
| WO2014190528A1 (en) * | 2013-05-30 | 2014-12-04 | 华为技术有限公司 | Network planning and optimization method and apparatus based on service distribution |
| CN104335622A (en) * | 2013-05-30 | 2015-02-04 | 华为技术有限公司 | Network planning and optimization method and apparatus based on service distribution |
| CN104335622B (en) * | 2013-05-30 | 2018-05-04 | 华为技术有限公司 | The network planning, optimization method and device based on service distribution |
| CN104244263A (en) * | 2013-06-06 | 2014-12-24 | 中国移动通信集团浙江有限公司 | Method for establishing inter-cell business distribution relationship and device thereof |
| CN104244263B (en) * | 2013-06-06 | 2018-01-30 | 中国移动通信集团浙江有限公司 | A kind of method for building up and device of inter-cell traffic distribution relation |
| CN105723653B (en) * | 2013-11-13 | 2019-08-02 | 高通股份有限公司 | The technology of the telephone traffic serviced on multiple cellular cells for determining cordless communication network |
| CN105723653A (en) * | 2013-11-13 | 2016-06-29 | 高通股份有限公司 | Techniques for determining traffic volumes served over multiple cells of a wireless communication network |
| CN104869577A (en) * | 2014-02-24 | 2015-08-26 | 中国移动通信集团新疆有限公司 | Indoor distribution system telephone traffic absorption extent quantifying method and device thereof |
| CN107451847A (en) * | 2016-05-31 | 2017-12-08 | 中国移动通信集团设计院有限公司 | A kind of service area partitioning method and device |
| CN109246728A (en) * | 2017-07-11 | 2019-01-18 | 中国移动通信集团山东有限公司 | A kind of covering abnormal cell recognition methods and device |
| CN108495256A (en) * | 2018-03-09 | 2018-09-04 | 深圳市网信联动通信技术股份有限公司 | A kind of method and system measuring tidal effect based on 4/5G mobile communications networks |
| CN112770381A (en) * | 2021-01-12 | 2021-05-07 | 中国科学院数学与系统科学研究院 | Method and device for adjusting total pilot signal transmission power of each sub-area in area |
| CN115905974A (en) * | 2022-11-04 | 2023-04-04 | 北京科技大学 | Method for detecting abnormal furnace condition of blast furnace |
| CN115905974B (en) * | 2022-11-04 | 2024-02-27 | 北京科技大学 | Method for detecting abnormal furnace condition of blast furnace |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102395136B (en) | 2014-01-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102395136B (en) | Telephone traffic distribution calculation method based on neighbor cell field intensity information and system thereof | |
| CN101547449B (en) | Frequency sweep and mobile phone measurement report-based method for automatic frequency optimization | |
| CN102404752B (en) | Frequency planning method in GSM network | |
| CN101150836B (en) | Radio precise planning analog and testing system and method | |
| CN103179582B (en) | A kind of room subsystem site selecting method and system | |
| CN101047937B (en) | Mobile communication frequency planning method based on genetic algorithm | |
| CN103116696B (en) | Personnel based on the mobile phone location data of sparse sampling reside place recognition methods | |
| CN103841602B (en) | Neighborhood configuration method and system | |
| CN101568127B (en) | Method and device for determining traffic distribution in network simulation | |
| CN111314940A (en) | Wireless network deployment method for 5G NSA networking mode | |
| CN101998419B (en) | Cell parameter configuration method and system | |
| CN108124267A (en) | Base station automatic planning and device | |
| CN107241743B (en) | Power grid private network layout construction method | |
| CN105282784B (en) | Method based on the overlapping covering of measurement report data system positioning and optimizing TDD-LTE network | |
| CN104378769A (en) | TD-SCDMA base station planning point automatic selection method based on coverage prediction | |
| CN104486772A (en) | End-to-end multi-dimension normalization LTE (long term evolution) network evaluation optimization system | |
| CN101784061A (en) | Method and device for realizing autonomous load balancing of wireless access network | |
| CN101895898B (en) | Method and system for inspecting cell identical and adjacent frequency interference | |
| CN111669764B (en) | Novel mobile base station site selection method, system and computer equipment based on GIS technology | |
| CN104822162A (en) | Green base station shunting method and device in hybrid energy network | |
| CN102572849B (en) | Method for automatically planning mobile communication frequency based on combination of graph theory and genetic algorithm | |
| CN103096324B (en) | A kind of district dynamic frequency planning method | |
| CN103118392B (en) | Method and device for forecasting spectrum demands of IMT (international mobile telecommunication) system | |
| CN110493793B (en) | Method and system for planning new station building based on capacity LTE | |
| CN103179607B (en) | A kind of Optimal Configuration Method of network scrambler and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20140115 Termination date: 20151104 |
|
| EXPY | Termination of patent right or utility model |