CN105228172A - A kind of localization method of high interference community and device - Google Patents
A kind of localization method of high interference community and device Download PDFInfo
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- CN105228172A CN105228172A CN201410262234.3A CN201410262234A CN105228172A CN 105228172 A CN105228172 A CN 105228172A CN 201410262234 A CN201410262234 A CN 201410262234A CN 105228172 A CN105228172 A CN 105228172A
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Abstract
The invention provides a kind of localization method and device of high interference community, relate to the communications field, when determining high interference community in solution prior art, utilize the MR data problem that the network problem cycle is long to analyze, automaticity is low; The localization method of described high interference community of the present invention comprises: the intermediate value obtaining the signal to noise ratio of multiple sample point in Serving cell; According to the intermediate value of described signal to noise ratio, determine the high interference community of described Serving cell.Technical scheme provided by the invention, by the signal to noise ratio in Analysis Service community, high interference community, location, analytical method quick and precisely.
Description
Technical field
The present invention relates to the communications field, particularly relate to a kind of localization method and device of high interference community.
Background technology
In the prior art, for high interference community, usually calculate overlapping coverage coefficient based on rasterizing community and active interference coefficient positions, concrete steps are as follows:
Step 1: by assessment area rasterizing, as shown in Figure 1, for each grid, utilize the average signal strength of each community received in frequency sweep data statistics grid, if the average signal strength of the community A that a certain grid receives is the peak signal of community A or is less than Thresh1 with the difference of the peak signal of community A, then for this grid, community A is its potential Serving cell, and all grid number scales meeting this condition are Na.
Step 2: on the basis of step 1, if the average signal strength of the community B that a certain grid receives is less than Thresh2 with the difference of the average signal strength of the community A received, then for this grid, community B is the interfered cell of this grid, and all grid number scales meeting this condition are Mb.Same method can calculate Mc, Md......Mn.
Step 3: interfered cell B is to interference ratio P (a, the b)=Mb/Na of community A in definition.Then can calculate the overlapping coverage coefficient=∑ iP (a of community A, i), wherein, i is all communities of community A being caused to interference, the order of severity that this parameter characterization community A is disturbed, the active interference coefficient=∑ jP (j of interfered cell B, b), wherein, j is the community that all community B that is interfered disturb, and this parameter characterization interfered cell B is as the order of severity of interference source.
Step 4: cover degree of overlapping according to " overlapping coverage coefficient " assessment, locate high interference community according to " active interference coefficient ", carry out the optimization become more meticulous for problem cells.
Above-mentioned prior art, although computational process is intuitively easily understood, computational process is complicated, amount of calculation large, and the network problem cycle is long, automaticity is low, the network that the scale that is not suitable for day by day expands to analyze to utilize frequency sweep data.
Summary of the invention
In order to solve the problems of the technologies described above, the invention provides a kind of localization method and device of high interference community, by the signal to noise ratio in Analysis Service community, high interference community, location, analytical method quick and precisely, is convenient to rapid analysis fixer network structure problem after large-scale network-estabilishing.
To achieve these goals, the invention provides a kind of localization method of high interference community, comprising: the intermediate value obtaining the signal to noise ratio of multiple sample point in Serving cell; According to the intermediate value of described signal to noise ratio, determine the high interference community of described Serving cell.
The localization method of above-mentioned high interference community, wherein, the step obtaining the intermediate value of the signal to noise ratio of Serving cell multiple sample point comprises: obtain the first reference signal power of multiple sample point of described Serving cell and all adjacent areas of described Serving cell the second reference signal power in multiple sample point; According to the first reference signal power and described second reference signal power of described multiple sample point, determine the intermediate value of the signal to noise ratio of described multiple sample point.
The localization method of above-mentioned high interference community, wherein, according to the first reference signal power and described second reference signal power of described multiple sample point, determine that the step of the intermediate value of the signal to noise ratio of described multiple sample point comprises: according to described first reference signal power and described second reference signal power, determine the signal to noise ratio of each sample point of described Serving cell; According to the signal to noise ratio of each sample point, determine the intermediate value of the signal to noise ratio of described multiple sample point.
The localization method of above-mentioned high interference community, wherein, according to described first reference signal power and described second reference signal power, determine that the step of the signal to noise ratio of each sample point of described Serving cell comprises: the signal to noise ratio by following formula determination sample point:
wherein, SIR
scell_i (k)for the signal to noise ratio of a kth sample point of Serving cell SCell_i, K is the number of the sampled point in described Serving cell SCell_i, RSRP
scell_i (k)for described Serving cell SCell_i is in the first reference signal power of a kth sample point, RSRP
ncell_i (k, j)for a jth adjacent area of described Serving cell SCell_i is in the second reference signal power of a kth sample point,
for all adjacent areas of described Serving cell SCell_i are in the second reference signal power sum of a kth sample point.
The localization method of above-mentioned high interference community, wherein, according to the signal to noise ratio of each sample point, the step obtaining the intermediate value of the signal to noise ratio of described multiple sample point comprises: pass through formula:
determine the intermediate value of the signal to noise ratio of multiple sample point; Wherein,
for the intermediate value of the signal to noise ratio of K the sample point of Serving cell SCell_i.
The localization method of above-mentioned high interference community, wherein, according to the intermediate value of described signal to noise ratio, determine that the step of the high interference community of described Serving cell comprises: according to the intermediate value of described signal to noise ratio, determine to differ with the intermediate value of described signal to noise ratio the set that presets sampled point corresponding to the signal to noise ratio of the first numerical value, as the first sampled point set; According to the first reference signal power and second reference signal power of all sample point in described first sampled point set, determine the high interference community of described Serving cell.
The localization method of above-mentioned high interference community, wherein, according to the intermediate value of described signal to noise ratio, determine to differ with the intermediate value of described signal to noise ratio a step presetting the set of sampled point corresponding to the signal to noise ratio of the first numerical value and comprise: according to the signal to noise ratio of each sample point, determine with
the set of the sampled point that the signal to noise ratio of difference Δ dB is corresponding
k' sampled point altogether; Wherein,
for the intermediate value of the signal to noise ratio of K the sample point of Serving cell SCell_i, SIR
scell_i (k)for the signal to noise ratio of a kth sample point of Serving cell SCell_i.
The localization method of above-mentioned high interference community, wherein, according to the first reference signal power and second reference signal power of all sample point in described first sampled point set, determine that the step of the high interference community of described Serving cell comprises: for each sampled point in described first sampled point set, determine that the interference adjacent area corresponding with described sampled point is gathered; Wherein, the first reference signal power of described sample point is less than or equal to arbitrary adjacent area in the set of described interference adjacent area in the second reference signal power of described sample point and default second value sum; The interference adjacent area set corresponding according to each sampled point in described first sampled point set, determines the high interference community of described Serving cell.
The localization method of above-mentioned high interference community, wherein, the described step determining that the interference adjacent area corresponding with described sampled point is gathered comprises: for the kth in described first sampled point set ' individual sampled point, from all adjacent areas of described Serving cell described kth ' individual sample point the second reference signal power, determine interference reference power set, arbitrary second reference signal power in the set of described interference reference power and δ sum be greater than or equal to described Serving cell described kth ' the first reference signal power of individual sample point; Determine the set N that the adjacent area corresponding with each the second reference signal power in the set of described interference reference power forms
k'={ PCI
j| RSRP
scell_ (k')≤ RSRP
ncell_i (k', j)+ δ }, by described set N
k'as with kth ' interference adjacent area that individual sampled point is corresponding gathers; Wherein, k'=1,2...K', K' are the number of sampled point in described first sampled point set, PCI
jfor a jth adjacent area of described Serving cell SCell_i, RSRP
scell_i (k')for kth ' the first reference signal power of individual sample point, RSRP
ncell_i (k', j)for described Serving cell SCell_i a jth adjacent area kth ' the second reference signal power of individual sample point.
The localization method of above-mentioned high interference community, wherein, describedly determines that the step of the high interference community of described Serving cell comprises: from the interference adjacent area set that all sampled points described first sampled point set are corresponding
in, determine that adjacent area that occurrence number is maximum is the high interference community of described Serving cell, wherein, N
k'for with kth ' interference adjacent area that individual sampled point is corresponding gathers, K' is the number of sampled point in described first sampled point set.
The localization method of above-mentioned high interference community, wherein, obtain the first reference signal power of multiple sample point of described Serving cell and all adjacent areas of described Serving cell comprise in the step of the second reference signal power of multiple sample point: from the drive test data of the measurement report MR data of described Serving cell, described Serving cell and/or the frequency sweep data of described Serving cell, obtain the first reference signal power of multiple sample point of described Serving cell and all adjacent areas of described Serving cell the second reference signal power in multiple sample point.
Present invention also offers a kind of positioner of high interference community, comprising: acquisition module, for obtaining the intermediate value of the signal to noise ratio of multiple sample point in Serving cell; Determination module, for the intermediate value according to described signal to noise ratio, determines the high interference community of described Serving cell.
The positioner of above-mentioned high interference community, wherein, described acquisition module comprises: obtain submodule, for all adjacent areas of the first reference signal power and described Serving cell that obtain multiple sample point of described Serving cell in the second reference signal power of multiple sample point; First determines submodule, for according to the first reference signal power of described multiple sample point and described second reference signal power, determines the intermediate value of the signal to noise ratio of described multiple sample point.
The positioner of above-mentioned high interference community, wherein, described first determines that submodule comprises: the first determining unit, for according to described first reference signal power and described second reference signal power, determines the signal to noise ratio of each sample point of described Serving cell; Second determining unit, for the signal to noise ratio according to each sample point, determines the intermediate value of the signal to noise ratio of described multiple sample point.
The positioner of above-mentioned high interference community, wherein, described first determining unit is by the signal to noise ratio of following formula determination sample point:
wherein, SIR
scell_i (k)for the signal to noise ratio of a kth sample point of Serving cell SCell_i, K is the number of the sampled point in described Serving cell SCell_i, RSRP
scell_i (k)for described Serving cell SCell_i is in the first reference signal power of a kth sample point, RSRP
ncell_i (k, j)for a jth adjacent area of described Serving cell SCell_i is in the second reference signal power of a kth sample point,
for all adjacent areas of described Serving cell SCell_i are in the second reference signal power sum of a kth sample point.
The positioner of above-mentioned high interference community, wherein, described second determining unit passes through formula:
determine the intermediate value of the signal to noise ratio of multiple sample point; Wherein,
for the intermediate value of the signal to noise ratio of K the sample point of Serving cell SCell_i.
The positioner of above-mentioned high interference community, wherein, described determination module comprises: second determines submodule, for the intermediate value according to described signal to noise ratio, determine to differ with the intermediate value of described signal to noise ratio the set that presets sampled point corresponding to the signal to noise ratio of the first numerical value, as the first sampled point set; 3rd determines submodule, for according to the first reference signal power of all sample point in described first sampled point set and the second reference signal power, determines the high interference community of described Serving cell.
The positioner of above-mentioned high interference community, wherein, described second determines submodule further according to the signal to noise ratio of each sample point, determine with
the set of the sampled point that the signal to noise ratio of difference Δ dB is corresponding
using described set M as the first sampled point set, K' sampled point altogether; Wherein,
for the intermediate value of the signal to noise ratio of K the sample point of Serving cell SCell_i, SIR
scell_i (k)for the signal to noise ratio of a kth sample point of Serving cell SCell_i.
The positioner of above-mentioned high interference community, wherein, the described 3rd determines that submodule comprises: the 3rd determining unit, for for each sampled point in described first sampled point set, determines that the interference adjacent area corresponding with described sampled point is gathered; Wherein, the first reference signal power of described sample point is less than or equal to arbitrary adjacent area in the set of described interference adjacent area in the second reference signal power of described sample point and default second value sum; 4th determining unit, for the interference adjacent area set corresponding according to each sampled point in described first sampled point set, determines the high interference community of described Serving cell.
The positioner of above-mentioned high interference community, wherein, described 3rd determining unit comprises: first determines subelement, for for the kth in described first sampled point set ' individual sampled point, from all adjacent areas of described Serving cell described kth ' individual sample point the second reference signal power, determine interference reference power set, arbitrary second reference signal power in the set of described interference reference power and δ sum be greater than or equal to described Serving cell described kth ' the first reference signal power of individual sample point; Second determines subelement, for determining the set N that the adjacent area corresponding with each the second reference signal power in the set of described interference reference power forms
k'={ PCI
j| RSRP
scell_ (k')≤ RSRP
ncell_i (k', j)+ δ }, by described set N
k'as with kth ' interference adjacent area that individual sampled point is corresponding gathers; Wherein, k'=1,2...K', K' are the number of sampled point in described first sampled point set, PCI
jfor a jth adjacent area of described Serving cell SCell_i, RSRP
scell_i (k')for kth ' the first reference signal power of individual sample point, RSRP
ncell_i (k', j)for described Serving cell SCell_i a jth adjacent area kth ' the second reference signal power of individual sample point.
The positioner of above-mentioned high interference community, wherein, described 4th determining unit is further used for from interference adjacent area set corresponding to all sampled points described first sampled point set
in, determine that adjacent area that occurrence number is maximum is the high interference community of described Serving cell, wherein, N
k'for with kth ' interference adjacent area that individual sampled point is corresponding gathers, K' is the number of sampled point in described first sampled point set.
The positioner of above-mentioned high interference community, wherein, described acquisition submodule is further used for from the drive test data of the measurement report MR data of described Serving cell, described Serving cell and/or the frequency sweep data of described Serving cell, obtains the first reference signal power of multiple sample point of described Serving cell and all adjacent areas of described Serving cell the second reference signal power in multiple sample point.
The beneficial effect of technique scheme of the present invention is as follows:
The invention provides a kind of localization method and device of high interference community, by the signal to noise ratio in Analysis Service community, high interference community, location, analytical method quick and precisely.
Accompanying drawing explanation
Fig. 1 is to assessment area rasterizing schematic diagram.
The schematic flow sheet of the localization method of the high interference community that Fig. 2 provides for the embodiment of the present invention 1.
The flow chart of the localization method of the high interference community that Fig. 3 provides for the embodiment of the present invention 2.
Fig. 4 is the signal to noise ratio distribution map of sampled point.
Embodiment
For making the technical problem to be solved in the present invention, technical scheme and advantage clearly, be described in detail below in conjunction with the accompanying drawings and the specific embodiments.
The embodiment of the present invention is in prior art, during high interference community, location, computational process is complicated, amount of calculation is large, the problem of the networking that the scale that is not suitable for day by day expands, provide a kind of localization method and device of high interference community, by the signal to noise ratio in Analysis Service community, high interference community, location, analytical method quick and precisely.
The schematic flow sheet of the localization method of the high interference community that Fig. 2 provides for the embodiment of the present invention 1, as shown in the figure, described method comprises:
Step S20, obtains the intermediate value of the signal to noise ratio of multiple sample point in Serving cell;
Step S22, according to the intermediate value of described signal to noise ratio, determines the high interference community of described Serving cell.
The localization method of high interference community provided by the invention, the intermediate value according to the signal to noise ratio of sample point multiple in Serving cell is analyzed, and determines the high interference community of Serving cell.
In the localization method of above-mentioned high interference community, only need the intermediate value of the signal to noise ratio of the multiple sampled points obtained in Serving cell, and for a community, the signal to noise ratio of the multiple sample point in community can obtain from multiple available data, therefore, the intermediate value of signal to noise ratio is easy to obtain, by analyzing the sampled point of signal to noise ratio near the intermediate value of described signal to noise ratio, just can determine the high interference community of Serving cell, analytical method quick and precisely, can locate high interference community rapidly.
In a specific embodiment of the present invention, step S20 can comprise:
Step S201, obtains the first reference signal power of multiple sample point of described Serving cell and all adjacent areas of described Serving cell the second reference signal power in multiple sample point;
Step S202, according to the first reference signal power and described second reference signal power of described multiple sample point, determines the intermediate value of the signal to noise ratio of described multiple sample point.
Signal to noise ratio characterizes the impact of interference signal on useful signal, for multiple sampled points of a community, determine the intermediate value of the signal to noise ratio in multiple sample point, need to obtain in the useful signal intensity of multiple sample point and interference signal intensity, the useful signal intensity of a sample point can be characterized by first reference signal power of Serving cell in this sample point, and interference signal intensity, can be characterized by second reference signal power of all adjacent areas of Serving cell in this sample point, therefore, the intermediate value of the signal to noise ratio of multiple sample point can be determined according to the first reference signal power of multiple sample point and the second reference signal power.
In a specific embodiment of the present invention, step S201 can comprise:
Step S2011, according to described first reference signal power and described second reference signal power, determines the signal to noise ratio of each sample point of described Serving cell;
Step S2012, according to the signal to noise ratio of each sample point, determines the intermediate value of the signal to noise ratio of described multiple sample point.
The object of aforesaid operations is, according to the signal to noise ratio of multiple sample point, calculates the intermediate value of the signal to noise ratio of multiple sample point, the signal to noise ratio namely mediated in the signal to noise ratio of multiple sample point.Intermediate value refers to and occupy middle number in one group of data, namely in these group data, has the data of half larger than it, has the data of half less than it, if this group packet is containing even number numeral, intermediate value is the mean value being positioned at two middle numbers.Calculate the intermediate value of the signal to noise ratio of multiple sample point, first need to know the signal to noise ratio in multiple sample point.
Wherein, can by the signal to noise ratio of following formula determination sample point:
wherein, SIR
scell_i (k)for the signal to noise ratio of a kth sample point of Serving cell SCell_i, K is the number of the sampled point in described Serving cell SCell_i, RSRP
scell_i (k)for described Serving cell SCell_i is in the first reference signal power of a kth sample point, RSRP
ncell_i (k, j)for a jth adjacent area of described Serving cell SCell_i is in the second reference signal power of a kth sample point,
for all adjacent areas of described Serving cell SCell_i are in the second reference signal power sum of a kth sample point.Certainly, above-mentioned formula is the account form of a kind of simplification of signal to noise ratio, can also calculate signal to noise ratio by other means, as long as can characterize the impact of interference signal on useful signal.
Wherein, after the signal to noise ratio determining each sample point, can formula be passed through:
determine the intermediate value of the signal to noise ratio of multiple sample point; Wherein,
for the intermediate value of the signal to noise ratio of K the sample point of Serving cell SCell_i.
In a specific embodiment of the present invention, step S22 can comprise:
Step S221, according to the intermediate value of described signal to noise ratio, determines to differ with the intermediate value of described signal to noise ratio the set that presets sampled point corresponding to the signal to noise ratio of the first numerical value, as the first sampled point set;
Step S222, according to the first reference signal power and second reference signal power of all sample point in described first sampled point set, determines the high interference community of described Serving cell.
In technique scheme, by the high interference community, sampled point situation location that the signal to noise ratio of analysis near the intermediate value of described signal to noise ratio is corresponding, wherein, sampled point corresponding to the signal to noise ratio near the intermediate value of described signal to noise ratio refers to: differ one with the intermediate value of described signal to noise ratio and preset sampled point corresponding to the signal to noise ratio of the first numerical value, the set meeting the sampled point of this condition can be designated as the first sampled point set, namely the signal to noise ratio of sample point of the first sampled point set differ with the intermediate value of signal to noise ratio one preset number range in, analytical method is quick and precisely.
Wherein, the first sampled point set can be determined by following manner: according to the signal to noise ratio of each sample point, determine with
the set of the sampled point that the signal to noise ratio of difference Δ dB is corresponding
using described set M as the first sampled point set, K' sampled point altogether; Wherein,
for the intermediate value of the signal to noise ratio of K the sample point of Serving cell SCell_i, SIR
scell_i (k)for the signal to noise ratio of a kth sample point of Serving cell SCell_i.
In a specific embodiment of the present invention, step S222 can comprise:
Step S2221, for each sampled point in described first sampled point set, determines that the interference adjacent area corresponding with described sampled point is gathered; Wherein, the first reference signal power of described sample point is less than or equal to arbitrary adjacent area in the set of described interference adjacent area in the second reference signal power of described sample point and default second value sum;
Step S2222, the interference adjacent area set corresponding according to each sampled point in described first sampled point set, determines the high interference community of described Serving cell.
When according to high interference community, these sample point situations location, first the interfered cell set of each sampled point can be determined, namely for a sampled point, determine the set of the adjacent area this sampled point being created to interference, and then gather according to the interference adjacent area of each sampled point, therefrom determine high interference community.Wherein, for a sampled point, when the adjacent area of Serving cell produces interference to this sampled point, show the interference signal receiving this adjacent area in this sample point, therefore, the interference adjacent area of this sampled point can be determined in the second reference signal power of this sample point and Serving cell in the first reference signal power of this sample point according to adjacent area, one can be arranged and preset second value, when the first reference signal power of this sample point is less than or equal to a certain adjacent area in the second reference signal power of this sample point and this default second value sum, this adjacent area is as the interference adjacent area of this sampled point.
Wherein, specifically can determine that the interference adjacent area corresponding with described sampled point is gathered by following manner: for the kth in described first sampled point set ' individual sampled point, from all adjacent areas of described Serving cell described kth ' individual sample point the second reference signal power, determine the set of interference reference power, arbitrary second reference signal power in the set of described interference reference power and δ sum be greater than or equal to described Serving cell described kth ' the first reference signal power of individual sample point, namely this interference reference power set be arbitrary adjacent area in the part adjacent area of described Serving cell described kth ' the second reference signal power of individual sample point, this part adjacent area is in the first reference signal power of described kth ' the second reference signal power of individual sample point and δ sum be greater than or equal to described Serving cell described kth ' individual sample point, determine the set N that the adjacent area corresponding with each the second reference signal power in the set of described interference reference power forms
k'={ PCI
j| RSRP
scell_ (k')≤ RSRP
ncell_i (k', j)+ δ }, by described set N
k'as with kth ' interference adjacent area that individual sampled point is corresponding gathers, and namely determines above-mentioned part adjacent area, wherein, k'=1,2...K', K' are the number of sampled point in described first sampled point set, PCI
jfor a jth adjacent area of described Serving cell SCell_i, RSRP
scell_i (k')for kth ' the first reference signal power of individual sample point, RSRP
ncell_i (k', j)for described Serving cell SCell_i a jth adjacent area kth ' the second reference signal power of individual sample point.
The localization method of above-mentioned high interference community, step S2222 can comprise: from the interference adjacent area set that all sampled points described first sampled point set are corresponding
in, determine that adjacent area that occurrence number is maximum is the high interference community of described Serving cell; Wherein, N
k'for with kth ' interference adjacent area that individual sampled point is corresponding gathers, K' is the number of sampled point in described first sampled point set.
In technique scheme, can gather according to the interference adjacent area of each sampled point, therefrom determine high interference community, can using adjacent areas maximum for occurrence number in the set of all interference adjacent areas as high interference community, the adjacent area that occurrence number is maximum in the set of all interference adjacent areas shows that the sampled point of the interference signal impact being subject to this adjacent area is maximum, such as:
The interference adjacent area set of sampled point 1 is: adjacent area 1, adjacent area 2, adjacent area 3, adjacent area 4;
The interference adjacent area set of sampled point 2 is: adjacent area 2, adjacent area 3, adjacent area 4;
The interference adjacent area set of sampled point 3 is: adjacent area 1, adjacent area 4;
Sampled point 4 interference adjacent area set be: adjacent area 1, adjacent area 2, adjacent area 4;
Then can determine that high interference community is adjacent area 4, because adjacent area 4 has occurred 4 times, adjacent area 1 and adjacent area 2 have all occurred 3 times, and adjacent area 3 has occurred 2 times, and 4 pairs, adjacent area sampled point 1, sampled point 2, sampled point 3 and sampled point 4 all create interference.
Certainly, in technique scheme, only determine high interference community according to the coverage of adjacent area sampled point near the intermediate value of signal to noise ratio to the first sampled point set and signal to noise ratio, other modes can also be taked to determine high interference community, such as, for each sampled point, can further for each interference adjacent area of this sampled point arranges a coefficient, this coefficient can be determined in the second reference signal power of this sample point and the first reference signal power of this sample point according to interference adjacent area, high interference adjacent area is determined by the overall coefficient of adding up all interference adjacent areas.
The localization method of above-mentioned high interference community, step S201 can comprise: from the drive test data of the measurement report MR data of described Serving cell, described Serving cell and/or the frequency sweep data of described Serving cell, obtains the first reference signal power of multiple sample point of described Serving cell and all adjacent areas of described Serving cell the second reference signal power in multiple sample point.
In the existing various data that community is analyzed, be made up of the data of the multiple sampled points in a variety of data Dou Shiyou community, and sampling number according in generally include community in the reference signal power of this sample point and the adjacent area of community the reference signal power in this sample point, therefore, the first reference signal power and second reference signal power of the multiple sampled points in Serving cell directly can be obtained from existing data, and without the need to from determining sampled point, record the data of sample point one by one, such as can from measurement report MR data, obtain in the drive test data of described Serving cell and/or the frequency sweep data of described Serving cell.
When obtaining the reference signal power of multiple sample point of Serving cell from the MR data of described Serving cell, and in described MR data exist on call time and UE numbers many identical data time, described acquisition module be further used for using on to call time and UE numbers many identical data and merges into the data as a sampled point, and therefrom obtain the reference signal power of described sampled point.
The flow chart of the localization method of the high interference community that Fig. 3 provides for the embodiment of the present invention 2, as shown in the figure, described method comprises:
Step S300, carries out preliminary treatment to MR data, obtains the data message of the multiple sampled points in Serving cell, comprise Serving cell in the reference signal power of sample point and the adjacent area of Serving cell the reference signal power in sample point; Its Central Plains MR data are as shown in table 1 below, as shown in table 2 below through pretreated MR data:
| On call time | Base station IDs | UE numbers | Serving cell | Adjacent area | Serving cell RSRP | Adjacent area RSRP |
| 201311260000 | 524402 | 1 | 118 | 387 | 54 | 21 |
| 201311260000 | 524402 | 1 | 118 | 194 | 54 | 27 |
| 201311260000 | 524402 | 2 | 118 | 282 | 64 | 26 |
| 201311260000 | 524402 | 2 | 118 | 119 | 64 | 41 |
| 201311260000 | 524402 | 2 | 118 | 117 | 64 | 28 |
| 201311260000 | 524402 | ... | ... | ... | ... | ... |
| 201311260015 | 524402 | 1 | 118 | 387 | 59 | 29 |
| 201311260015 | 524402 | 1 | 118 | 194 | 59 | 28 |
| ... | ... | ... | ... | ... | ... |
The former MR data of table 1
The pretreated MR data of table 2
Step S302, to each sampled point, calculates the signal to noise ratio of this sample point, and for a kth sampled point, its signal to noise ratio is:
Wherein, SIR
kfor the signal to noise ratio of a kth sample point, scRSRP
kfor Serving cell is in the reference signal power of a kth sample point, nc
k (j)rSRP is the reference signal power of a jth adjacent area in a kth sample point of Serving cell,
for all adjacent areas of Serving cell are in the reference signal power sum of a kth sample point, K is the sampled point number in this Serving cell;
Step S304, determines the intermediate value of the signal to noise ratio of all sampled points:
Step S306, the sampled point of screening signal to noise ratio near the intermediate value of described signal to noise ratio, as shown in Figure 4, filters out signal to noise ratio differs Δ dB sampled point set with the intermediate value of described signal to noise ratio:
record the number K' of the sampled point in this sampled point set;
Step S308, determines the set of interference adjacent area, for k ∈ M, finds the interference adjacent area that this sampled point is corresponding: N
k={ PCI
j| scRSRP
k≤ nc
k (j)rSRP+ δ }, wherein, PCI
jfor a jth adjacent area, namely Serving cell is less than or equal to the arbitrary adjacent area in this interference adjacent area in the reference signal power of this sample point and default δ dB sum in the reference signal power of this sample point;
Step S310, high interference community, location,
the community that middle occurrence number is maximum is the high interference community of this Serving cell;
Step S312, rectifies and improves high interference community, and after rectification, observes the improvement situation of the signal service quality of Serving cell.
In above-described embodiment 2, by the direct data getting the multiple sampled points in Serving cell from existing MR data, without the need to for Serving cell, determine sampled point, and gather the data of each sample point, when carrying out high interference cell localization, only need determine the intermediate value of the signal to noise ratio of multiple sampled point, the situation of the sampled point of signal to noise ratio near the intermediate value of this signal to noise ratio is analyzed, analytic process is simple, and the disturbed condition of adjacent area to Serving cell can be reflected due to the data of these sampled points, the analysis result obtained is accurate.
Present invention also offers a kind of positioner of high interference community, comprising: acquisition module, for obtaining the intermediate value of the signal to noise ratio of multiple sample point in Serving cell; Determination module, for the intermediate value according to described signal to noise ratio, determines the high interference community of described Serving cell.
The positioner of above-mentioned high interference community, wherein, described acquisition module comprises: obtain submodule, for all adjacent areas of the first reference signal power and described Serving cell that obtain multiple sample point of described Serving cell in the second reference signal power of multiple sample point; First determines submodule, for according to the first reference signal power of described multiple sample point and described second reference signal power, determines the intermediate value of the signal to noise ratio of described multiple sample point.
The positioner of above-mentioned high interference community, wherein, described first determines that submodule comprises: the first determining unit, for according to described first reference signal power and described second reference signal power, determines the signal to noise ratio of each sample point of described Serving cell; Second determining unit, for the signal to noise ratio according to each sample point, determines the intermediate value of the signal to noise ratio of described multiple sample point.
The positioner of above-mentioned high interference community, wherein, described first determining unit is by the signal to noise ratio of following formula determination sample point:
wherein, SIR
scell_i (k)for the signal to noise ratio of a kth sample point of Serving cell SCell_i, K is the number of the sampled point in described Serving cell SCell_i, RSRP
scell_i (k)for described Serving cell SCell_i is in the first reference signal power of a kth sample point, RSRP
ncell_i (k, j)for a jth adjacent area of described Serving cell SCell_i is in the second reference signal power of a kth sample point,
for all adjacent areas of described Serving cell SCell_i are in the second reference signal power sum of a kth sample point.
The positioner of above-mentioned high interference community, wherein, described second determining unit passes through formula:
determine the intermediate value of the signal to noise ratio of multiple sample point; Wherein,
for the intermediate value of the signal to noise ratio of K the sample point of Serving cell SCell_i.
The positioner of above-mentioned high interference community, wherein, described determination module comprises: second determines submodule, for the intermediate value according to described signal to noise ratio, determine to differ with the intermediate value of described signal to noise ratio the set that presets sampled point corresponding to the signal to noise ratio of the first numerical value, as the first sampled point set; 3rd determines submodule, for according to the first reference signal power of all sample point in described first sampled point set and the second reference signal power, determines the high interference community of described Serving cell.
The positioner of above-mentioned high interference community, wherein, described second determines submodule further according to the signal to noise ratio of each sample point, determine with
the set of the sampled point that the signal to noise ratio of difference Δ dB is corresponding
using described set M as the first sampled point set, K' sampled point altogether; Wherein,
for the intermediate value of the signal to noise ratio of K the sample point of Serving cell SCell_i, SIR
scell_i (k)for the signal to noise ratio of a kth sample point of Serving cell SCell_i.
The positioner of above-mentioned high interference community, wherein, the described 3rd determines that submodule comprises: the 3rd determining unit, for for each sampled point in described first sampled point set, determines that the interference adjacent area corresponding with described sampled point is gathered; Wherein, the first reference signal power of described sample point is less than or equal to arbitrary adjacent area in the set of described interference adjacent area in the second reference signal power of described sample point and default second value sum; 4th determining unit, for the interference adjacent area set corresponding according to each sampled point in described first sampled point set, determines the high interference community of described Serving cell.
The positioner of above-mentioned high interference community, wherein, described 3rd determining unit comprises: first determines subelement, for for the kth in described first sampled point set ' individual sampled point, from all adjacent areas of described Serving cell described kth ' individual sample point the second reference signal power, determine interference reference power set, arbitrary second reference signal power in the set of described interference reference power and δ sum be greater than or equal to described Serving cell described kth ' the first reference signal power of individual sample point; Second determines subelement, for determining the set N that the adjacent area corresponding with each the second reference signal power in the set of described interference reference power forms
k'={ PCI
j| RSRP
scell_ (k')≤ RSRP
ncell_i (k', j)+ δ }, by described set N
k'as with kth ' interference adjacent area that individual sampled point is corresponding gathers; Wherein, k'=1,2...K', K' are the number of sampled point in described first sampled point set, PCI
jfor a jth adjacent area of described Serving cell SCell_i, RSRP
scell_i (k')for kth ' the first reference signal power of individual sample point, RSRP
ncell_i (k', j)for described Serving cell SCell_i a jth adjacent area kth ' the second reference signal power of individual sample point.
The positioner of above-mentioned high interference community, wherein, described 4th determining unit is further used for from interference adjacent area set corresponding to all sampled points described first sampled point set
in, determine that adjacent area that occurrence number is maximum is the high interference community of described Serving cell, wherein, N
k'for with kth ' interference adjacent area that individual sampled point is corresponding gathers, K' is the number of sampled point in described first sampled point set.
The positioner of above-mentioned high interference community, wherein, described acquisition submodule is further used for from the drive test data of the measurement report MR data of described Serving cell, described Serving cell and/or the frequency sweep data of described Serving cell, obtains the first reference signal power of multiple sample point of described Serving cell and all adjacent areas of described Serving cell the second reference signal power in multiple sample point.
The high interference community of technical scheme provided by the invention to 9 of somewhere communities is adopted to position, the sampling number of these 9 communities is according to obtaining from MR data, the number of sampled point all exceeds 30000, and signal to noise ratio intermediate value corresponding to these 9 communities is as shown in little table 3:
Table 3
Adopt the localization method of high interference community provided by the invention to analyze to these 9 communities, wherein, the signal to noise ratio of each sampled point of community 524612-32 and community 524708-32 is evenly distributed, and signal to noise ratio intermediate value is higher, does not find to there is interference adjacent area; There is interference 2, adjacent area in community 524818-31; The interference adjacent area of other community has multiple, lists two that occurrence number in interference adjacent area is maximum in following table 4:
| Serving cell | The interference adjacent area that occurrence number is maximum and accounting | The interference adjacent area of occurrence number more than second and accounting |
| 524818-33 | 130(34.27％) | 143(17.25％) |
| 524707-33 | 340(52.77％) | 385(16.18％) |
| 524707-31 | 340(34.40％) | 339(32.82％) |
| 524786-33 | 117(44.67％) | 207(21.71％) |
| 524721-21 | 200(33.7％) | 141(32.31％) |
Table 4
As can be seen from Table 4, community 524786-33 exists high interference community is adjacent area 117; And the first interference adjacent area of community 524707-33 and 524707-31 is adjacent area 340, adjacent area 339 is the second interference adjacent area of community 524707-31 simultaneously, and community 339 and community 340 belong to same base station, therefore, the antenna azimuth of each community of this base station all needs adjustment.
The above is the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the prerequisite not departing from principle of the present invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (22)
1. a localization method for high interference community, is characterized in that, comprising:
Obtain the intermediate value of the signal to noise ratio of multiple sample point in Serving cell;
According to the intermediate value of described signal to noise ratio, determine the high interference community of described Serving cell.
2. the localization method of high interference community according to claim 1, is characterized in that, the step obtaining the intermediate value of the signal to noise ratio of the multiple sample point in Serving cell comprises:
Obtain the first reference signal power of multiple sample point of described Serving cell and all adjacent areas of described Serving cell the second reference signal power in multiple sample point;
According to the first reference signal power and described second reference signal power of described multiple sample point, determine the intermediate value of the signal to noise ratio of described multiple sample point.
3. the localization method of high interference community according to claim 2, it is characterized in that, according to the first reference signal power and described second reference signal power of described multiple sample point, determine that the step of the intermediate value of the signal to noise ratio of described multiple sample point comprises:
According to described first reference signal power and described second reference signal power, determine the signal to noise ratio of each sample point of described Serving cell;
According to the signal to noise ratio of each sample point, determine the intermediate value of the signal to noise ratio of described multiple sample point.
4. the localization method of high interference community according to claim 3, is characterized in that, according to described first reference signal power and described second reference signal power, determines that the step of the signal to noise ratio of each sample point of described Serving cell comprises:
Signal to noise ratio by following formula determination sample point:
Wherein, SIR
scell_i (k)for the signal to noise ratio of a kth sample point of Serving cell SCell_i, K is the number of the sampled point in described Serving cell SCell_i, RSRP
scell_i (k)for described Serving cell SCell_i is in the first reference signal power of a kth sample point, RSRP
ncell_i (k, j)for a jth adjacent area of described Serving cell SCell_i is in the second reference signal power of a kth sample point,
for all adjacent areas of described Serving cell SCell_i are in the second reference signal power sum of a kth sample point.
5. the localization method of high interference community according to claim 4, is characterized in that, according to the signal to noise ratio of each sample point, the step obtaining the intermediate value of the signal to noise ratio of described multiple sample point comprises:
Pass through formula:
determine the intermediate value of the signal to noise ratio of multiple sample point;
Wherein,
for the intermediate value of the signal to noise ratio of K the sample point of Serving cell SCell_i.
6. the localization method of high interference community according to claim 2, is characterized in that, according to the intermediate value of described signal to noise ratio, determines that the step of the high interference community of described Serving cell comprises:
According to the intermediate value of described signal to noise ratio, determine to differ with the intermediate value of described signal to noise ratio the set that presets sampled point corresponding to the signal to noise ratio of the first numerical value, as the first sampled point set;
According to the first reference signal power and second reference signal power of all sample point in described first sampled point set, determine the high interference community of described Serving cell.
7. the localization method of high interference community according to claim 6, is characterized in that, according to the intermediate value of described signal to noise ratio, determines to differ with the intermediate value of described signal to noise ratio a step presetting the set of sampled point corresponding to the signal to noise ratio of the first numerical value and comprises:
According to the signal to noise ratio of each sample point, determine with
the set of the sampled point that the signal to noise ratio of difference Δ dB is corresponding
using described set M as the first sampled point set, K' sampled point altogether;
Wherein,
for the intermediate value of the signal to noise ratio of K the sample point of Serving cell SCell_i, SIR
scell_i (k)for the signal to noise ratio of a kth sample point of Serving cell SCell_i.
8. the localization method of high interference community according to claim 6, it is characterized in that, according to the first reference signal power and second reference signal power of all sample point in described first sampled point set, determine that the step of the high interference community of described Serving cell comprises:
For each sampled point in described first sampled point set, determine that the interference adjacent area corresponding with described sampled point is gathered; Wherein, the first reference signal power of described sample point is less than or equal to arbitrary adjacent area in the set of described interference adjacent area in the second reference signal power of described sample point and default second value sum;
The interference adjacent area set corresponding according to each sampled point in described first sampled point set, determines the high interference community of described Serving cell.
9. the localization method of high interference community according to claim 8, is characterized in that, the described step determining that the interference adjacent area corresponding with described sampled point is gathered comprises:
For the kth in described first sampled point set ' individual sampled point, from all adjacent areas of described Serving cell described kth ' individual sample point the second reference signal power, determine interference reference power set, arbitrary second reference signal power in the set of described interference reference power and δ sum be greater than or equal to described Serving cell described kth ' the first reference signal power of individual sample point;
Determine the set N that the adjacent area corresponding with each the second reference signal power in the set of described interference reference power forms
k'={ PCI
j| RSRP
scell_ (k')≤ RSRP
ncell_i (k', j)+ δ }, by described set N
k'as with kth ' interference adjacent area that individual sampled point is corresponding gathers;
Wherein, k'=1,2...K', K' are the number of sampled point in described first sampled point set, PCI
jfor a jth adjacent area of described Serving cell SCell_i, RSRP
scell_i (k')for kth ' the first reference signal power of individual sample point, RSRP
ncell_i (k', j)for described Serving cell SCell_i a jth adjacent area kth ' the second reference signal power of individual sample point.
10. the localization method of high interference community according to claim 8, is characterized in that, describedly determines that the step of the high interference community of described Serving cell comprises:
From the interference adjacent area set that all sampled points described first sampled point set are corresponding
in, determine that adjacent area that occurrence number is maximum is the high interference community of described Serving cell;
Wherein, N
k'for with kth ' interference adjacent area that individual sampled point is corresponding gathers, K' is the number of sampled point in described first sampled point set.
The localization method of 11. high interference communities according to claim 2, it is characterized in that, obtain the first reference signal power of multiple sample point of described Serving cell and all adjacent areas of described Serving cell comprise in the step of the second reference signal power of multiple sample point:
From the drive test data of the measurement report MR data of described Serving cell, described Serving cell and/or the frequency sweep data of described Serving cell, obtain the first reference signal power of multiple sample point of described Serving cell and all adjacent areas of described Serving cell the second reference signal power in multiple sample point.
The positioner of 12. 1 kinds of high interference communities, is characterized in that, comprising:
Acquisition module, for obtaining the intermediate value of the signal to noise ratio of multiple sample point in Serving cell;
Determination module, for the intermediate value according to described signal to noise ratio, determines the high interference community of described Serving cell.
The positioner of 13. high interference communities according to claim 12, it is characterized in that, described acquisition module comprises:
Obtain submodule, for all adjacent areas of the first reference signal power and described Serving cell that obtain multiple sample point of described Serving cell in the second reference signal power of multiple sample point;
First determines submodule, for according to the first reference signal power of described multiple sample point and described second reference signal power, determines the intermediate value of the signal to noise ratio of described multiple sample point.
The positioner of 14. high interference communities according to claim 13, is characterized in that, described first determines that submodule comprises:
First determining unit, for according to described first reference signal power and described second reference signal power, determines the signal to noise ratio of each sample point of described Serving cell;
Second determining unit, for the signal to noise ratio according to each sample point, determines the intermediate value of the signal to noise ratio of described multiple sample point.
The positioner of 15. high interference communities according to claim 14, is characterized in that, described first determining unit is by the signal to noise ratio of following formula determination sample point:
Wherein, SIR
scell_i (k)for the signal to noise ratio of a kth sample point of Serving cell SCell_i, K is the number of the sampled point in described Serving cell SCell_i, RSRP
scell_i (k)for described Serving cell SCell_i is in the first reference signal power of a kth sample point, RSRP
ncell_i (k, j)for a jth adjacent area of described Serving cell SCell_i is in the second reference signal power of a kth sample point,
for all adjacent areas of described Serving cell SCell_i are in the second reference signal power sum of a kth sample point.
The positioner of 16. high interference communities according to claim 15, is characterized in that, described second determining unit passes through formula
determine the intermediate value of the signal to noise ratio of multiple sample point;
Wherein,
for the intermediate value of the signal to noise ratio of K the sample point of Serving cell SCell_i.
The positioner of 17. high interference communities according to claim 13, it is characterized in that, described determination module comprises:
Second determines submodule, for the intermediate value according to described signal to noise ratio, determines to differ with the intermediate value of described signal to noise ratio the set that presets sampled point corresponding to the signal to noise ratio of the first numerical value, as the first sampled point set;
3rd determines submodule, for according to the first reference signal power of all sample point in described first sampled point set and the second reference signal power, determines the high interference community of described Serving cell.
The positioner of 18. high interference communities according to claim 17, is characterized in that, described second determines submodule further according to the signal to noise ratio of each sample point, determine with
the set of the sampled point that the signal to noise ratio of difference Δ dB is corresponding
using described set M as the first sampled point set, K' sampled point altogether;
Wherein,
for the intermediate value of the signal to noise ratio of K the sample point of Serving cell SCell_i, SIR
scell_i (k)for the signal to noise ratio of a kth sample point of Serving cell SCell_i.
The positioner of 19. high interference communities according to claim 17, is characterized in that, the described 3rd determines that submodule comprises:
3rd determining unit, for for each sampled point in described first sampled point set, determines that the interference adjacent area corresponding with described sampled point is gathered; Wherein, the first reference signal power of described sample point is less than or equal to arbitrary adjacent area in the set of described interference adjacent area in the second reference signal power of described sample point and default second value sum;
4th determining unit, for the interference adjacent area set corresponding according to each sampled point in described first sampled point set, determines the high interference community of described Serving cell.
The positioner of 20. high interference communities according to claim 19, is characterized in that, described 3rd determining unit comprises:
First determines subelement, for for the kth in described first sampled point set ' individual sampled point, from all adjacent areas of described Serving cell described kth ' individual sample point the second reference signal power, determine interference reference power set, arbitrary second reference signal power in the set of described interference reference power and δ sum be greater than or equal to described Serving cell described kth ' the first reference signal power of individual sample point;
Second determines subelement, for determining the set N that the adjacent area corresponding with each the second reference signal power in the set of described interference reference power forms
k'={ PCI
j| RSRP
scell_ (k')≤ RSRP
ncell_i (k', j)+ δ }, by described set N
k'as with kth ' interference adjacent area that individual sampled point is corresponding gathers;
Wherein, k'=1,2...K', K' are the number of sampled point in described first sampled point set, PCI
jfor a jth adjacent area of described Serving cell SCell_i, RSRP
scell_i (k')for kth ' the first reference signal power of individual sample point, RSRP
ncell_i (k', j)for described Serving cell SCell_i a jth adjacent area kth ' the second reference signal power of individual sample point.
The positioner of 21. high interference communities according to claim 19, is characterized in that, described 4th determining unit is further used for from interference adjacent area set corresponding to all sampled points described first sampled point set
in, determine that adjacent area that occurrence number is maximum is the high interference community of described Serving cell;
Wherein, N
k'for with kth ' interference adjacent area that individual sampled point is corresponding gathers, K' is the number of sampled point in described first sampled point set.
The positioner of 22. high interference communities according to claim 13, it is characterized in that, described acquisition submodule is further used for from the drive test data of the measurement report MR data of described Serving cell, described Serving cell and/or the frequency sweep data of described Serving cell, obtains the first reference signal power of multiple sample point of described Serving cell and all adjacent areas of described Serving cell the second reference signal power in multiple sample point.
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