CN105376743A - Method and device for obtaining TD-SCDMA interference index - Google Patents

Abstract

The invention provides a method and device for obtaining TD-SCDMA interference indexes. The method comprises the steps: obtaining signal intensity information, of adjacent cells, collected by a terminal belonging to a to-be-tested main cell during a preset period, and obtaining data information relates to interference of the main cell, wherein the adjacent cells are cells divided in advance and adjacent to the main cell; obtaining, from the signal intensity information of the adjacent cells, a first proportion coefficient of information that meets a first interference condition, and obtaining an interference index acting on the main cell according to the first proportion coefficient and the data information; obtaining signal intensity information, of the main cell, collected by terminals belonging to the adjacent cells during a preset period; obtaining, from the signal intensity information of the main cell, a second proportion coefficient of information that meets a second interference condition, and obtaining external interference index of the main cell according to the second proportion coefficient and the data information; and obtaining a total interference index of the main cell, which is a sum of the interference index acting on the main cell and the external interference index of the main cell.

Description

A kind of method and device obtaining TD-SCDMA Annoyance Index

Technical field

The present invention relates to the communications field, particularly a kind of method obtaining TD-SCDMA Annoyance Index.

Background technology

The main thought of current frequency planning software is: first give main carrier frequency frequency division; Then be the frequency frequency division of assistant carrier frequency, based on the frequency of main carrier frequency, carry out frequency division again, its main feature completes cell frequency planning in conjunction with re-use again based on geographical position and honeycomb figure, pilot process does not quantize frequency interferences, be only judge based on geographical position and formulate frequency usage scheme, object is that frequency reuse distance is maximized.

Current scrambling planning method is network rigid principle mainly, first this basic demand to be met, and then plan according to geography, the scrambler group degree of correlation etc., this scrambling planning method mainly realizes with the fixing correlation between distribution principle, the basic geographical location information in community and scrambler group, planning principle be meet evade the prerequisite of scrambling code planning hard-and-fast rule under scrambler multiplex distance is maximized.

There is following shortcoming in existing technology:

1, step is complicated, and operating efficiency is low

The complex operations that existing technical scheme needs operating personnel many in planning process, easily make mistakes, and be only that the hard requirement to scrambler completes planning based on geographical position and network, real network coverage situation cannot be reflected, whole operating process efficiency is lower, and the accuracy of result is not high.

2, with geographical position, community for reference, to basic data require higher

Existing technical scheme calculates based on community relative position, and therefore higher to the accuracy requirement of basic data, do not have the means that can verify geographical position, azimuth normality at present, the error probability of program results is higher.

3, network interferences situation cannot truly be reflected

Existing technical scheme covers the embodiment of association at present without any network, planning is all direct is reference data with geographical position, again based on what rationalization Planning concept basis was carried out, it cannot reflect the disturbed condition of network at different scene, Different periods application different frequency and different scrambling codes.

Summary of the invention

The technical problem to be solved in the present invention is to provide a kind of method and the device that obtain TD-SCDMA Annoyance Index, overcome the defect of the disturbed condition of optional frequency and any scrambler cannot determining arbitrary cells in network at present, and it is complicated to solve prior art step, operating efficiency is low, and the problem that accuracy is not high.

For solving the problems of the technologies described above, embodiments of the invention provide a kind of method obtaining TD SDMA TD-SCDMA Annoyance Index, comprising:

The signal strength information of the adjacent cell that the terminal that acquisition belongs to main plot to be measured gathers in predetermined period, and disturb relevant data message to described main plot, wherein said adjacent cell is the community adjacent with described main plot divided in advance;

In the signal strength information of described adjacent cell, obtain the first proportionality coefficient shared by information meeting the first disturbed condition, and according to described first proportionality coefficient and described data message, obtain the Annoyance Index that described main plot is subject to;

The signal strength information of the described main plot that the terminal that acquisition belongs to described adjacent cell gathers in described predetermined period;

In the signal strength information of described main plot, obtain the second proportionality coefficient shared by information meeting the second disturbed condition, and according to described second proportionality coefficient and described data message, obtain the Annoyance Index that described main plot is external;

Obtain the external Annoyance Index of Annoyance Index that described main plot is subject to and described main plot and be total Annoyance Index of described main plot.

Wherein, described first disturbed condition is: the difference of the incoming level of described adjacent cell and the incoming level of described main plot is in the preset range causing interference; And

Described in the signal strength information of described adjacent cell, the step obtaining the first proportionality coefficient shared by information meeting the first disturbed condition comprises:

In the signal strength information of described adjacent cell, obtain the first homogenous frequency signal quantity and the first alien frequencies number of signals that meet described first disturbed condition;

According to the same frequency weight coefficient pre-set and alien frequencies weight coefficient, obtain after described first homogenous frequency signal quantity and described first alien frequencies number of signals weighting and;

According to after described first homogenous frequency signal quantity and described first alien frequencies number of signals weighting and, obtain described first proportionality coefficient.

Wherein, described second disturbed condition is: the difference of the incoming level of described main plot and the incoming level of described adjacent cell is in the preset range causing interference; And

Described in the signal strength information of described main plot, the step obtaining the second proportionality coefficient shared by information meeting the second disturbed condition comprises:

In the signal strength information of described main plot, obtain the second homogenous frequency signal quantity and the second alien frequencies number of signals that meet described second disturbed condition;

According to the same frequency weight coefficient pre-set and alien frequencies weight coefficient, obtain after described second homogenous frequency signal quantity and described second alien frequencies number of signals weighting and;

According to after described second homogenous frequency signal quantity and described second alien frequencies number of signals weighting and, obtain described second proportionality coefficient.

Wherein, described and described main plot disturbs relevant data message to comprise: with frequency re-use, traffic weight coefficient and same penalty coefficient frequently; And

Described acquisition and described main plot disturb the step of relevant data message to comprise:

Obtain the average distance between described main plot and the first floor adjacent cell that divides in advance, and the minimum value in the distance of described main plot and co-frequency neighbor cell, wherein, described co-frequency neighbor cell is: there is the adjacent cell with multiplexed situation frequently with described main plot;

The ratio obtaining described average distance and described minimum value is described with frequency re-use;

The ratio obtaining described main plot CU quantity and described main plot number of carriers is described traffic weight coefficient;

According to the same frequency situation of described main plot and described adjacent cell, and the described penalty value corresponding with situation frequently pre-set, obtain described with penalty coefficient frequently.

Wherein, described and described main plot disturbs relevant data message also to comprise: the value of scrambler penalty coefficient and compound code character correlation; And

Described acquisition and described main plot disturb the step of relevant data message also to comprise:

Obtain the scrambler facilities of described main plot and described adjacent cell, when the scrambler facilities of described main plot and described adjacent cell violates scrambling code planning condition, the penalty value corresponding according to the described violation scrambling code planning condition pre-set, obtains described scrambler penalty coefficient;

According to described main plot and the scrambler facilities of described adjacent cell and the value of scrambler inter-class correlation, the value obtaining the scrambler inter-class correlation of described main plot and described adjacent cell is the value of described compound code character correlation.

Wherein, described according to described first proportionality coefficient and described data message, the step obtaining the Annoyance Index that described main plot is subject to comprises:

According to described first proportionality coefficient, described same re-use frequently, described traffic weight coefficient and described same penalty coefficient frequently, obtain the frequency interferences index that described main plot is subject to;

According to described first proportionality coefficient, the described value with frequency re-use, described traffic weight coefficient, described same penalty coefficient, described scrambler penalty coefficient and described compound code character correlation frequently, obtain the scrambling interference index that described main plot is subject to; And

Described according to described second proportionality coefficient and described data message, the step obtaining the external Annoyance Index in described main plot comprises:

According to described second proportionality coefficient, described same re-use frequently, described traffic weight coefficient and described same penalty coefficient frequently, obtain the frequency interferences index that described main plot is external;

According to described second proportionality coefficient, the described value with frequency re-use, described traffic weight coefficient, described same penalty coefficient, described scrambler penalty coefficient and described compound code character correlation frequently, obtain the scrambling interference index that described main plot is external; And

The external Annoyance Index of the Annoyance Index that the described main plot of described acquisition is subject to and described main plot and comprise for the step of total Annoyance Index of described main plot:

Obtain the external frequency interferences index of frequency interferences index that described main plot is subject to and described main plot and be the sum frequency Annoyance Index of described main plot;

Obtain the external scrambling interference index of scrambling interference index that described main plot is subject to and described main plot and be total scrambling interference index of described main plot.

For solving the problems of the technologies described above, embodiments of the invention also provide a kind of device obtaining TD SDMA TD-SCDMA Annoyance Index, comprising:

First acquisition module, for obtaining the signal strength information of the adjacent cell that the terminal that belongs to main plot to be measured gathers in predetermined period, and disturb relevant data message to described main plot, wherein said adjacent cell is the community adjacent with described main plot divided in advance;

Second acquisition module, in the signal strength information of described adjacent cell, obtains the first proportionality coefficient shared by information meeting the first disturbed condition, and according to described first proportionality coefficient and described data message, obtains the Annoyance Index that described main plot is subject to;

3rd acquisition module, for obtaining the signal strength information of the described main plot that the terminal that belongs to described adjacent cell gathers in described predetermined period;

4th acquisition module, in the signal strength information of described main plot, obtains the second proportionality coefficient shared by information meeting the second disturbed condition, and according to described second proportionality coefficient and described data message, obtains the Annoyance Index that described main plot is external;

5th acquisition module, for obtain the external Annoyance Index of Annoyance Index that described main plot is subject to and described main plot and be total Annoyance Index of described main plot.

Wherein, described first disturbed condition is: the difference of the incoming level of described adjacent cell and the incoming level of described main plot is in the preset range causing interference; And

Described second acquisition module comprises:

6th acquisition module, in the signal strength information of described adjacent cell, obtains the first homogenous frequency signal quantity and the first alien frequencies number of signals that meet described first disturbed condition;

7th acquisition module, for according to the same frequency weight coefficient that pre-sets and alien frequencies weight coefficient, obtain after described first homogenous frequency signal quantity and described first alien frequencies number of signals weighting and;

8th acquisition module, for according to after described first homogenous frequency signal quantity and described first alien frequencies number of signals weighting and, obtain described first proportionality coefficient.

Wherein, described second disturbed condition is: the difference of the incoming level of described main plot and the incoming level of described adjacent cell is in the preset range causing interference; And

Described 4th acquisition module comprises:

9th acquisition module, in the signal strength information of described main plot, obtains the second homogenous frequency signal quantity and the second alien frequencies number of signals that meet described second disturbed condition;

Tenth acquisition module, for according to the same frequency weight coefficient that pre-sets and alien frequencies weight coefficient, obtain after described second homogenous frequency signal quantity and described second alien frequencies number of signals weighting and;

11 acquisition module, for according to after described second homogenous frequency signal quantity and described second alien frequencies number of signals weighting and, obtain described second proportionality coefficient.

Wherein, described and described main plot disturbs relevant data message to comprise: with frequency re-use, traffic weight coefficient and same penalty coefficient frequently; And

Described first acquisition module comprises:

First obtains submodule, for obtaining the average distance between described main plot and the first floor adjacent cell that divides in advance, and the minimum value in the distance of described main plot and co-frequency neighbor cell, wherein, described co-frequency neighbor cell is: there is the adjacent cell with frequency multiplexed situation with described main plot;

Second obtains submodule, is described with frequency re-use for obtaining the ratio of described average distance and described minimum value;

3rd obtains submodule, is described traffic weight coefficient for obtaining the ratio of described main plot CU quantity and described main plot number of carriers;

4th obtains submodule, for the same frequency situation according to described main plot and described adjacent cell, and the described penalty value corresponding with situation frequently pre-set, obtain described with frequency penalty coefficient.

Wherein, described and described main plot disturbs relevant data message also to comprise: the value of scrambler penalty coefficient and compound code character correlation; And

Described first acquisition module also comprises:

5th obtains submodule, for obtaining the scrambler facilities of described main plot and described adjacent cell, when the scrambler facilities of described main plot and described adjacent cell violates scrambling code planning condition, the penalty value corresponding according to the described violation scrambling code planning condition pre-set, obtains described scrambler penalty coefficient;

6th obtains submodule, and for according to the scrambler facilities of described main plot and described adjacent cell and the value of scrambler inter-class correlation, the value obtaining the scrambler inter-class correlation of described main plot and described adjacent cell is the value of described compound code character correlation.

Wherein, described second acquisition module comprises:

First frequency acquisition module, for according to described first proportionality coefficient, described same re-use frequently, described traffic weight coefficient and described same penalty coefficient frequently, obtains the frequency interferences index that described main plot is subject to;

First scrambler acquisition module, for according to described first proportionality coefficient, the described value with frequency re-use, described traffic weight coefficient, described same penalty coefficient, described scrambler penalty coefficient and described compound code character correlation frequently, obtain the scrambling interference index that described main plot is subject to; And

Described 4th acquisition module comprises:

Second frequency acquisition module, for according to described second proportionality coefficient, described same re-use frequently, described traffic weight coefficient and described same penalty coefficient frequently, obtains the frequency interferences index that described main plot is external;

Second scrambler acquisition module, for according to described second proportionality coefficient, the described value with frequency re-use, described traffic weight coefficient, described same penalty coefficient, described scrambler penalty coefficient and described compound code character correlation frequently, obtain the scrambling interference index that described main plot is external; And

Described 5th acquisition module comprises:

3rd frequency acquisition module, for obtain the external frequency interferences index of frequency interferences index that described main plot is subject to and described main plot and be the sum frequency Annoyance Index of described main plot;

3rd scrambler acquisition module, for obtain the external scrambling interference index of scrambling interference index that described main plot is subject to and described main plot and be total scrambling interference index of described main plot.

The beneficial effect of technique scheme of the present invention is as follows:

The method obtaining TD SDMA TD-SCDMA Annoyance Index of the embodiment of the present invention, the signal strength information of the adjacent cell that the terminal that first acquisition belongs to main plot to be measured gathers in predetermined period, and disturb relevant data message to main plot, wherein adjacent cell is the community adjacent with main plot divided in advance; Then in the signal strength information of these adjacent cells, obtain the first proportionality coefficient shared by information meeting the first disturbed condition, and according to the first proportionality coefficient and data message, obtain the Annoyance Index that main plot is subject to; The signal strength information of the main plot that the terminal that acquisition belongs to adjacent cell again gathers in predetermined period; Then in the signal strength information of these main plots, obtain the second proportionality coefficient shared by information meeting the second disturbed condition, and according to the second proportionality coefficient and data message, obtain the Annoyance Index that main plot is external; Finally obtain the external Annoyance Index of the Annoyance Index that is subject to of main plot and main plot and be total Annoyance Index of main plot.The optional frequency of arbitrary cells in network and the disturbed condition of any scrambler can be determined, for the network optimization and planning provide reliable Data support, improve accuracy and operating efficiency.

Accompanying drawing explanation

Fig. 1 is the method flow diagram that the present invention obtains TD SDMA TD-SCDMA Annoyance Index;

Fig. 2 is the structural representation that the present invention obtains the device of TD SDMA TD-SCDMA Annoyance Index.

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 rigid principle regulation of current network scrambling code planning is as follows:

Scrambling code planning four not principle:

1, neighbor cell can not use with the same code word of frequency;

2, neighbor cell can not use with the same code character of frequency;

3, the adjacent area of adjacent area can not adopt same scrambler and same code character;

4, can not there is zero time delay repeated code in neighbor cell.

Scrambling code planning four priority principle:

1, the community that priority allocation is intensive, more intensively thinks the community that adjacent cell number is more in a network.According to the distribution situation of network small area, determine cell allocation order.Total principle is the community selecting that maximum community of adjacent cell number to be assigned with yard resource as first, then distribute first community be assigned with in the adjacent cell set of community, allocation order is distributed successively according to the number of the adjacent cell of these communities oneself is descending.More the cell scrambling performance of priority allocation more easily ensures;

2, the scrambler that priority allocation scrambler is low to correlation, when having multiple scrambler to (lower than correlation thresholding) when all meeting the demands, priority allocation correlation is low;

3, in time having repeated code code word to need to be used, preferential use long time delay repeated code;

4, suboptimum code (correlation is greater than thresholding) is preferentially used in remote sites, and suboptimum code prioritizing selection correlation is close to the code word of thresholding.

The method obtaining TD SDMA TD-SCDMA Annoyance Index of the embodiment of the present invention, combine the hard requirement in frequency scrambling code planning process, can intuitively get frequency by the size of jamming index value or whether scrambler exists the situation running counter to hard-and-fast rule.

As shown in Figure 1, the method obtaining TD SDMA TD-SCDMA Annoyance Index of the embodiment of the present invention, comprising:

Step 11, the signal strength information of the adjacent cell that the terminal that acquisition belongs to main plot to be measured gathers in predetermined period, and disturb relevant data message to described main plot, wherein said adjacent cell is the community adjacent with described main plot divided in advance;

Step 12, in the signal strength information of described adjacent cell, obtains the first proportionality coefficient shared by information meeting the first disturbed condition, and according to described first proportionality coefficient and described data message, obtains the Annoyance Index that described main plot is subject to;

Step 13, the signal strength information of the described main plot that the terminal that acquisition belongs to described adjacent cell gathers in described predetermined period;

Step 14, in the signal strength information of described main plot, obtains the second proportionality coefficient shared by information meeting the second disturbed condition, and according to described second proportionality coefficient and described data message, obtains the Annoyance Index that described main plot is external;

Step 15, obtain the external Annoyance Index of Annoyance Index that described main plot is subject to and described main plot and be total Annoyance Index of described main plot.

The method obtaining TD SDMA TD-SCDMA Annoyance Index of the embodiment of the present invention, the optional frequency of arbitrary cells in network and the disturbed condition of any scrambler can be determined, for the network optimization and planning provide reliable Data support, improve accuracy and operating efficiency.

In specific embodiments of the invention, described first disturbed condition is: the difference of the incoming level of described adjacent cell and the incoming level of described main plot is in the preset range causing interference; And

In above-mentioned steps 12, described in the signal strength information of described adjacent cell, the step obtaining the first proportionality coefficient shared by information meeting the first disturbed condition can comprise:

Step 121, in the signal strength information of described adjacent cell, obtains the first homogenous frequency signal quantity and the first alien frequencies number of signals that meet described first disturbed condition;

Step 122, according to the same frequency weight coefficient pre-set and alien frequencies weight coefficient, obtain after described first homogenous frequency signal quantity and described first alien frequencies number of signals weighting and;

Step 123, according to after described first homogenous frequency signal quantity and described first alien frequencies number of signals weighting and, obtain described first proportionality coefficient.

Now, by obtaining the first homogenous frequency signal quantity and the first alien frequencies number of signals of satisfied first disturbed condition, and according to after the first homogenous frequency signal quantity and the first alien frequencies number of signals weighting and, obtain the first proportionality coefficient, when taking into full account co-channel interference and alien frequencies interference, make calculating more reasonable, thus improve accuracy.

Concrete, described first disturbed condition is: U _b-U _a>=-6dB.Wherein, U _afor main plot incoming level, U _bfor adjacent cell incoming level.These data obtained for many experiments, the adjacent cell signal meeting this disturbed condition can produce interference effect to main plot signal.

Now, filtered out adjacent cell signal main plot being produced to interference effect by the first disturbed condition, ensure that accuracy when calculating Annoyance Index, avoid unnecessary step, improve operating efficiency.

Assuming that there is n adjacent cell main plot to be measured, then meet the first homogenous frequency signal quantity I F of the first disturbed condition _serobtain by following formula:

${\mathrm{IF}}_{\mathrm{ser}}=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{M}_i$

Wherein, M _ii-th adjacent cell for main plot terminal collection meets the first homogenous frequency signal quantity of the first disturbed condition.

And meet the first alien frequencies number of signals PF of the first disturbed condition _serobtain by following formula:

${\mathrm{PF}}_{\mathrm{ser}}=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{N}_i$

Wherein, N _ii-th adjacent cell for main plot terminal collection meets the first alien frequencies number of signals of the first disturbed condition.

Now, the adjacent cell meeting the first disturbed condition is all taken into account, makes the data calculated fully can reflect the interference effect of adjacent cell to main plot.

In addition, the first proportionality coefficient R _serobtain by following formula:

$R_{\mathrm{ser}}=\frac{{\mathrm{IF}}_{\mathrm{ser}}\×K+{\mathrm{PF}}_{\mathrm{ser}}\×J}{{\mathrm{SF}}_{\mathrm{ser}}}$

Wherein, SF _serfor the signal sum of n the adjacent cell that main plot terminal gathers, K is that J is alien frequencies weight coefficient with frequency weight coefficient.

Concrete, the span with frequency weight coefficient K can be 1.2-1.5, and the span of alien frequencies weight coefficient J can be 1-1.2.Because the intensity of co-channel interference is greater than alien frequencies interference, and the value of K is greater than J, and namely the weight of co-channel interference is greater than alien frequencies interference, makes the data that calculate more reasonable, improves accuracy.

Accordingly, described second disturbed condition is: the difference of the incoming level of described main plot and the incoming level of described adjacent cell is in the preset range causing interference; And

In above-mentioned steps 14, described in the signal strength information of described main plot, the step obtaining the second proportionality coefficient shared by information meeting the second disturbed condition can comprise:

Step 141, in the signal strength information of described main plot, obtains the second homogenous frequency signal quantity and the second alien frequencies number of signals that meet described second disturbed condition;

Step 142, according to the same frequency weight coefficient pre-set and alien frequencies weight coefficient, obtain after described second homogenous frequency signal quantity and described second alien frequencies number of signals weighting and;

Step 143, according to after described second homogenous frequency signal quantity and described second alien frequencies number of signals weighting and, obtain described second proportionality coefficient.

Now, by obtaining the second homogenous frequency signal quantity and the second alien frequencies number of signals of satisfied second disturbed condition, and according to after the second homogenous frequency signal quantity and the second alien frequencies number of signals weighting and, obtain the second proportionality coefficient, when taking into full account co-channel interference and alien frequencies interference, make calculating more reasonable, thus improve accuracy.

Concrete, described second disturbed condition is: U _a-U _b>=-6dB.These data obtained for many experiments, the main plot signal meeting this disturbed condition can produce interference effect to adjacent cell signal.

Now, filtered out main plot signal adjacent cell being produced to interference effect by the second disturbed condition, ensure that the accuracy of calculating, avoid unnecessary step, improve operating efficiency.

Assuming that there is n adjacent cell main plot to be measured, then meet the second homogenous frequency signal quantity I F of the second disturbed condition _adjobtain by following formula:

${\mathrm{IF}}_{\mathrm{adj}}=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{Y}_i$

Wherein, Y _ibe the second homogenous frequency signal quantity that the main plot of i-th adjacent cell terminal collection meets the second disturbed condition.

And meet the second alien frequencies number of signals PF of the second disturbed condition _adjobtain by following formula:

${\mathrm{PF}}_{\mathrm{adj}}=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{Z}_i$

Wherein, Z _iit is the second alien frequencies number of signals that the main plot of i-th adjacent cell terminal collection meets the second disturbed condition.

Now, the main plot signal meeting the second disturbed condition is all taken into account, makes the data calculated fully can reflect the interference effect of main plot to adjacent cell.

In addition, the second proportionality coefficient R _adjobtain by following formula:

$R_{\mathrm{adj}}=\frac{{\mathrm{IF}}_{\mathrm{adj}}\×K+{\mathrm{PF}}_{\mathrm{adj}}\×J}{{\mathrm{SF}}_{\mathrm{adj}}}$

Wherein, SF _adjfor the signal sum of the main plot that n adjacent cell terminal gathers.

Wherein, as mentioned above, the span with frequency weight coefficient K can be 1.2-1.5, and the span of alien frequencies weight coefficient J can be 1-1.2.

In specific embodiments of the invention, described and described main plot disturbs relevant data message to comprise: with frequency re-use, traffic weight coefficient and same penalty coefficient frequently; And

In above-mentioned steps 11, described acquisition and described main plot disturb the step of relevant data message to comprise:

Step 111, obtains the average distance between described main plot and the first floor adjacent cell that divides in advance, and the minimum value in the distance of described main plot and co-frequency neighbor cell, and wherein, described co-frequency neighbor cell is: there is the adjacent cell with multiplexed situation frequently with described main plot;

Step 112, the ratio obtaining described average distance and described minimum value is described with frequency re-use;

Step 113, the ratio obtaining described main plot CU quantity and described main plot number of carriers is described traffic weight coefficient;

Step 114, according to the same frequency situation of described main plot and described adjacent cell, and the described penalty value corresponding with situation frequently pre-set, obtains described with penalty coefficient frequently.

Now, by obtaining the same frequency re-use of main plot, traffic weight coefficient and with penalty coefficient frequently, and carry out interference calculation by the data obtained, the data calculated are enable fully to reflect the frequency interferences situation of main plot, ensure that accuracy and the reasonability of calculating, thus provide reliable Data support for the network planning.

Concrete, with frequency re-use H ₁obtain by following formula:

$H_1=\frac{S_1}{S_2}$

Wherein, S ₁for the average distance between main plot and the first floor adjacent cell that divides in advance, S ₂for the minimum value in the distance of main plot and co-frequency neighbor cell.

And traffic weight coefficient H ₂obtain by following formula:

$H_1=\frac{T_1}{T_2}$

Wherein, T ₁for the actual user of main plot takies quantity, T ₂for the number of carriers of main plot.

In addition, obtain by following formula with frequency penalty coefficient P:

$P=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{P}_i$

Wherein, P _ifor the penalty value corresponding according to the same frequency situation between main plot with i-th adjacent cell.P _iobtain by following formula:

P _i＝1+P1+P2+P3+P4

Wherein, exist in main plot and adjacent cell with standing with P1=5 during dominant frequency, otherwise P1=0; Exist in main plot and adjacent cell with standing with P2=2 during auxiliary frequency, otherwise P2=0; There is neighbor cell with P3=3 during dominant frequency, otherwise P3=0; Existing with P4=1.5 during auxiliary frequency between neighbor cell, otherwise P4=0.

Certainly, above-mentioned for P _ithe most preferred embodiment that just obtains by experiment of value, other arbitrary value ways that can reach same effect also can be applied in specific embodiments of the invention.

Further, described and described main plot disturbs relevant data message to comprise: the value of scrambler penalty coefficient and compound code character correlation; And

In above-mentioned steps 11, described acquisition and described main plot disturb the step of relevant data message to comprise:

Step 115, obtain the scrambler facilities of described main plot and described adjacent cell, when the scrambler facilities of described main plot and described adjacent cell violates scrambling code planning condition, the penalty value corresponding according to the described violation scrambling code planning condition pre-set, obtains described scrambler penalty coefficient;

Step 116, according to described main plot and the scrambler facilities of described adjacent cell and the value of scrambler inter-class correlation, the value obtaining the scrambler inter-class correlation of described main plot and described adjacent cell is the value of described compound code character correlation.

Now, by obtaining the scrambler penalty coefficient of main plot and the value of compound code character correlation, and carry out interference calculation by the data obtained, the data calculated are enable fully to reflect the scrambling interference situation of main plot, ensure the accuracy that calculates and reasonability, thus provide reliable Data support for the network planning.

Concrete, scrambler penalty coefficient V obtains by following formula:

$V=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{V}_i$

Wherein, V _ifor main plot and the scrambler of i-th adjacent cell arrange violate scrambling code planning condition time corresponding penalty value.V _iobtain by following formula:

V _i＝1+V1+V2+...+V8+V9

Wherein, with station with V1=8 during scrambler, otherwise V1=0; With station with V2=8 during 12 scrambler group, otherwise V2=0; Single order adjacent area with dominant frequency with V3=6 during scrambler, otherwise V3=0; Single order adjacent area is with V4=8 during dominant frequency together 12 scrambler group, otherwise V4=0; Single order adjacent area with auxiliary frequency with V5=6 during scrambler, otherwise V5=0; Second order adjacent area with dominant frequency with V6=3 during scrambler, otherwise V6=0; Second order adjacent area is with V7=3 during dominant frequency together 12 scrambler group, otherwise V7=0; With dominant frequency with V8=3 time multiplexing in scrambler 2 kilometers, otherwise V8=0; V9=3 when zero time delay repeated code appears in neighbor cell, otherwise V9=0.

Certainly, above-mentioned for V _ithe most preferred embodiment that just obtains by experiment of value, other arbitrary value ways that can reach same effect also can be applied in specific embodiments of the invention.

In addition, a kind of specific embodiment, scrambler compound key group distribution condition is as shown in table 1:

Grouping	Scrambling code identification
		1	0 4 25 26 28 29 33 39 41 42 48 52 54 56 84 89
2	1 5 7 10 15 20 40 46 47 49 61 64 75 82 118 126
		3	2 3 6 11 12 17 22 23 34 35 36 38 45 50 65 86
4	8 9 13 14 18 19 24 27 32 37 44 67 70 104 116 117
		5	16 21 30 31 43 59 78 85 92 94 99 105 107 109 124 125
6	51 58 102 127
		7	53 80 91 100 120
8	55 60 71 83 87 112 115
		9	57 77 81 88 96 97 101
10	62 68 69 76 108 122
		11	63 66 72 79 93 95 106 110 113 123
12	73 74 90 98 103 111 114 119 121

Table 1

By table 1 obtain main plot and adjacent cell scrambler facilities after, may correspond to and find compound code character situation corresponding to each scrambler, then obtain the value W of compound code character correlation by table 2:

Scrambler group	Maximum cross-correlation	Scrambler group	Maximum cross-correlation	Scrambler group	Maximum cross-correlation
						1,2	0.5625	3,5	0.5625	5,12	0.9375
1,3	0.875	3,6	0.6875	6,7	0.875
						1,4	0.875	3,7	0.6875	6,8	0.75
1,5	0.5625	3,8	0.5625	6,9	0.5625
						1,6	0.5625	3,9	0.5625	6,10	0.625
1,7	0.5625	3,10	0.5625	6,11	0.75
						1,8	0.5625	3,11	0.6875	6,12	0.625
1,9	0.5625	3,12	0.5625	7,8	0.625
						1,10	0.5625	4,5	0.5625	7,9	0.625
1,11	0.5625	4,6	0.6875	7,10	0.5625
						1,12	0.5625	4,7	0.6875	7,11	0.875
2,3	0.5625	4,8	0.5625	7,12	0.5625
						2,4	0.5625	4,9	0.5625	8,9	0.75
2,5	0.75	4,10	0.5625	8,10	0.875
						2,6	0.5625	4,11	0.6875	8,11	0.5625
2,7	0.5625	4,12	0.5625	8,12	0.875
						2,8	0.8125	5,6	0.6875	9,10	0.875
2,9	0.9375	5,7	0.5625	9,11	0.75
						2,10	0.9375	5,8	0.9375	9,12	0.875
2,11	0.6875	5,9	0.8125	10,11	0.625
						2,12	0.8125	5,10	0.8125	10,12	0.75
3,4	0.75	5,11	0.5625	11,12	0.625

Table 2

Certainly, the most preferred embodiment that the above-mentioned value for compound code character correlation just obtains by experiment, other arbitrary value ways that can reach same effect also can be applied in specific embodiments of the invention.

In specific embodiments of the invention, in above-mentioned steps 12, described according to described first proportionality coefficient and described data message, the step obtaining the Annoyance Index that described main plot is subject to can comprise:

Step 124, according to described first proportionality coefficient, described same re-use frequently, described traffic weight coefficient and described same penalty coefficient frequently, obtains the frequency interferences index that described main plot is subject to;

Step 125, according to described first proportionality coefficient, the described value with frequency re-use, described traffic weight coefficient, described same penalty coefficient, described scrambler penalty coefficient and described compound code character correlation frequently, obtains the scrambling interference index that described main plot is subject to; And

In above-mentioned steps 14, described according to described second proportionality coefficient and described data message, the step obtaining the external Annoyance Index in described main plot can comprise:

Step 144, according to described second proportionality coefficient, described same re-use frequently, described traffic weight coefficient and described same penalty coefficient frequently, obtains the frequency interferences index that described main plot is external;

Step 145, according to described second proportionality coefficient, the described value with frequency re-use, described traffic weight coefficient, described same penalty coefficient, described scrambler penalty coefficient and described compound code character correlation frequently, obtains the scrambling interference index that described main plot is external; And

The step of above-mentioned steps 15 can comprise:

Step 151, obtain the external frequency interferences index of frequency interferences index that described main plot is subject to and described main plot and be the sum frequency Annoyance Index of described main plot;

Step 152, obtain the external scrambling interference index of scrambling interference index that described main plot is subject to and described main plot and be total scrambling interference index of described main plot.

Now, by obtaining frequency interferences index and the scrambling interference index of main plot, for the network optimization and planning provide reliable data supporting, more efficiently can carry out every network optimization and planning, improve the accuracy of operation.

Concrete, the frequency interferences index that main plot is subject to obtains by following formula:

GR _pin＝R _ser×H ₁×H ₂×P

The external frequency interferences index in main plot obtains by following formula:

GR _pout＝R _adj×H ₁×H ₂×P

The sum frequency Annoyance Index of main plot obtains by following formula:

GR _p＝GR _pin+GR _pout

The scrambling interference index that main plot is subject to obtains by following formula:

GR _rin＝R _ser×H ₁×H ₂×(P+V)×W

The external scrambling interference index in main plot obtains by following formula:

GR _rout＝R _adj×H ₁×H ₂×(P+V)×W

Total scrambling interference index of main plot obtains by following formula:

GR _r＝GR _rin+GR _rout

The frequency interferences exponential sum scrambling interference index of main plot can be obtained respectively, for the network optimization and planning provide reliable data supporting by above-mentioned formula.

The method obtaining TD SDMA TD-SCDMA Annoyance Index of the embodiment of the present invention, has broken traditional planning and the optimum ideals in simple dependence geographical position, for commodity network planning and optimization provide method more easily; And fast operation, efficiency is high, can count the Annoyance Index of the frequency in network, scrambler at any time, have high initiative and real-time, can respond various daily and special demand fast by the up-to-date measurement data of network.

The method obtaining TD SDMA TD-SCDMA Annoyance Index of the embodiment of the present invention, fully can reflect the disturbed condition of actual frequency in network, scrambler, is more conducive to batch background analysis, supports for the network optimization and planning provide authentic data; And the hard requirement combined in frequency scrambling code planning process, make the size by Annoyance Index intuitively get institute's plan frequency or whether scrambler exists the situation running counter to hard-and-fast rule.

As shown in Figure 2, embodiments of the invention additionally provide the device obtaining TD SDMA TD-SCDMA Annoyance Index, comprising:

First acquisition module, for obtaining the signal strength information of the adjacent cell that the terminal that belongs to main plot to be measured gathers in predetermined period, and disturb relevant data message to described main plot, wherein said adjacent cell is the community adjacent with described main plot divided in advance;

Second acquisition module, in the signal strength information of described adjacent cell, obtains the first proportionality coefficient shared by information meeting the first disturbed condition, and according to described first proportionality coefficient and described data message, obtains the Annoyance Index that described main plot is subject to;

3rd acquisition module, for obtaining the signal strength information of the described main plot that the terminal that belongs to described adjacent cell gathers in described predetermined period;

4th acquisition module, in the signal strength information of described main plot, obtains the second proportionality coefficient shared by information meeting the second disturbed condition, and according to described second proportionality coefficient and described data message, obtains the Annoyance Index that described main plot is external;

5th acquisition module, for obtain the external Annoyance Index of Annoyance Index that described main plot is subject to and described main plot and be total Annoyance Index of described main plot.

The device obtaining TD SDMA TD-SCDMA Annoyance Index of the embodiment of the present invention, the optional frequency of arbitrary cells in network and the disturbed condition of any scrambler can be determined, for the network optimization and planning provide reliable Data support, improve accuracy and operating efficiency.

Wherein, described first disturbed condition is: the difference of the incoming level of described adjacent cell and the incoming level of described main plot is in the preset range causing interference; And

Described second acquisition module can comprise:

6th acquisition module, in the signal strength information of described adjacent cell, obtains the first homogenous frequency signal quantity and the first alien frequencies number of signals that meet described first disturbed condition;

7th acquisition module, for according to the same frequency weight coefficient that pre-sets and alien frequencies weight coefficient, obtain after described first homogenous frequency signal quantity and described first alien frequencies number of signals weighting and;

8th acquisition module, for according to after described first homogenous frequency signal quantity and described first alien frequencies number of signals weighting and, obtain described first proportionality coefficient.

Now, by obtaining the first homogenous frequency signal quantity and the first alien frequencies number of signals of satisfied first disturbed condition, and according to after the first homogenous frequency signal quantity and the first alien frequencies number of signals weighting and, obtain the first proportionality coefficient, when taking into full account co-channel interference and alien frequencies interference, make calculating more reasonable, thus improve accuracy.

Wherein, described second disturbed condition is: the difference of the incoming level of described main plot and the incoming level of described adjacent cell is in the preset range causing interference; And

Described 4th acquisition module can comprise:

9th acquisition module, in the signal strength information of described main plot, obtains the second homogenous frequency signal quantity and the second alien frequencies number of signals that meet described second disturbed condition;

Tenth acquisition module, for according to the same frequency weight coefficient that pre-sets and alien frequencies weight coefficient, obtain after described second homogenous frequency signal quantity and described second alien frequencies number of signals weighting and;

11 acquisition module, for according to after described second homogenous frequency signal quantity and described second alien frequencies number of signals weighting and, obtain described second proportionality coefficient.

Now, by obtaining the second homogenous frequency signal quantity and the second alien frequencies number of signals of satisfied second disturbed condition, and according to after the second homogenous frequency signal quantity and the second alien frequencies number of signals weighting and, obtain the second proportionality coefficient, when taking into full account co-channel interference and alien frequencies interference, make calculating more reasonable, thus improve accuracy.

Wherein, described and described main plot disturbs relevant data message to comprise: with frequency re-use, traffic weight coefficient and same penalty coefficient frequently; And

Described first acquisition module can comprise:

First obtains submodule, for obtaining the average distance between described main plot and the first floor adjacent cell that divides in advance, and the minimum value in the distance of described main plot and co-frequency neighbor cell, wherein, described co-frequency neighbor cell is: there is the adjacent cell with frequency multiplexed situation with described main plot;

Second obtains submodule, is described with frequency re-use for obtaining the ratio of described average distance and described minimum value;

3rd obtains submodule, is described traffic weight coefficient for obtaining the ratio of described main plot CU quantity and described main plot number of carriers;

4th obtains submodule, for the same frequency situation according to described main plot and described adjacent cell, and the described penalty value corresponding with situation frequently pre-set, obtain described with frequency penalty coefficient.

Now, by obtaining the same frequency re-use of main plot, traffic weight coefficient and with penalty coefficient frequently, and carry out interference calculation by the data obtained, the data calculated are enable fully to reflect the frequency interferences situation of main plot, ensure that accuracy and the reasonability of calculating, thus provide reliable Data support for the network planning.

Wherein, described and described main plot disturbs relevant data message to comprise: the value of scrambler penalty coefficient and compound code character correlation; And

Described first acquisition module can also comprise:

5th obtains submodule, for obtaining the scrambler facilities of described main plot and described adjacent cell, when the scrambler facilities of described main plot and described adjacent cell violates scrambling code planning condition, the penalty value corresponding according to the described violation scrambling code planning condition pre-set, obtains described scrambler penalty coefficient;

6th obtains submodule, and for according to the scrambler facilities of described main plot and described adjacent cell and the value of scrambler inter-class correlation, the value obtaining the scrambler inter-class correlation of described main plot and described adjacent cell is the value of described compound code character correlation.

Now, by obtaining the scrambler penalty coefficient of main plot and the value of compound code character correlation, and carry out interference calculation by the data obtained, the data calculated are enable fully to reflect the scrambling interference situation of main plot, ensure the accuracy that calculates and reasonability, thus provide reliable Data support for the network planning.

Wherein, described second acquisition module can comprise:

First frequency acquisition module, for according to described first proportionality coefficient, described same re-use frequently, described traffic weight coefficient and described same penalty coefficient frequently, obtains the frequency interferences index that described main plot is subject to;

First scrambler acquisition module, for according to described first proportionality coefficient, the described value with frequency re-use, described traffic weight coefficient, described same penalty coefficient, described scrambler penalty coefficient and described compound code character correlation frequently, obtain the scrambling interference index that described main plot is subject to; And

Described 4th acquisition module can comprise:

Second frequency acquisition module, for according to described second proportionality coefficient, described same re-use frequently, described traffic weight coefficient and described same penalty coefficient frequently, obtains the frequency interferences index that described main plot is external;

Second scrambler acquisition module, for according to described second proportionality coefficient, the described value with frequency re-use, described traffic weight coefficient, described same penalty coefficient, described scrambler penalty coefficient and described compound code character correlation frequently, obtain the scrambling interference index that described main plot is external; And

Described 5th acquisition module can comprise:

3rd frequency acquisition module, for obtain the external frequency interferences index of frequency interferences index that described main plot is subject to and described main plot and be the sum frequency Annoyance Index of described main plot;

3rd scrambler acquisition module, for obtain the external scrambling interference index of scrambling interference index that described main plot is subject to and described main plot and be total scrambling interference index of described main plot.

Now, by obtaining frequency interferences index and the scrambling interference index of main plot, for the network optimization and planning provide reliable data supporting, more efficiently can carry out every network optimization and planning, improve the accuracy of operation.

The device obtaining TD SDMA TD-SCDMA Annoyance Index of the embodiment of the present invention, the optional frequency of arbitrary cells in network and the disturbed condition of any scrambler can be determined, for the network optimization and planning provide reliable Data support, improve accuracy and operating efficiency.

It should be noted that, this device obtaining TD SDMA TD-SCDMA Annoyance Index is the device corresponding with the above-mentioned method obtaining TD SDMA TD-SCDMA Annoyance Index, wherein in said method embodiment, all implementations are all applicable in the embodiment of this device, also can reach same technique effect.

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 (12)

1. obtain a method for TD SDMA TD-SCDMA Annoyance Index, it is characterized in that, comprising:

The signal strength information of the adjacent cell that the terminal that acquisition belongs to main plot to be measured gathers in predetermined period, and disturb relevant data message to described main plot, wherein said adjacent cell is the community adjacent with described main plot divided in advance;

In the signal strength information of described adjacent cell, obtain the first proportionality coefficient shared by information meeting the first disturbed condition, and according to described first proportionality coefficient and described data message, obtain the Annoyance Index that described main plot is subject to;

The signal strength information of the described main plot that the terminal that acquisition belongs to described adjacent cell gathers in described predetermined period;

In the signal strength information of described main plot, obtain the second proportionality coefficient shared by information meeting the second disturbed condition, and according to described second proportionality coefficient and described data message, obtain the Annoyance Index that described main plot is external;

Obtain the external Annoyance Index of Annoyance Index that described main plot is subject to and described main plot and be total Annoyance Index of described main plot.

2. method according to claim 1, is characterized in that, described first disturbed condition is: the difference of the incoming level of described adjacent cell and the incoming level of described main plot is in the preset range causing interference; And

Described in the signal strength information of described adjacent cell, the step obtaining the first proportionality coefficient shared by information meeting the first disturbed condition comprises:

In the signal strength information of described adjacent cell, obtain the first homogenous frequency signal quantity and the first alien frequencies number of signals that meet described first disturbed condition;

According to the same frequency weight coefficient pre-set and alien frequencies weight coefficient, obtain after described first homogenous frequency signal quantity and described first alien frequencies number of signals weighting and;

According to after described first homogenous frequency signal quantity and described first alien frequencies number of signals weighting and, obtain described first proportionality coefficient.

3. method according to claim 1, is characterized in that, described second disturbed condition is: the difference of the incoming level of described main plot and the incoming level of described adjacent cell is in the preset range causing interference; And

Described in the signal strength information of described main plot, the step obtaining the second proportionality coefficient shared by information meeting the second disturbed condition comprises:

In the signal strength information of described main plot, obtain the second homogenous frequency signal quantity and the second alien frequencies number of signals that meet described second disturbed condition;

According to the same frequency weight coefficient pre-set and alien frequencies weight coefficient, obtain after described second homogenous frequency signal quantity and described second alien frequencies number of signals weighting and;

According to after described second homogenous frequency signal quantity and described second alien frequencies number of signals weighting and, obtain described second proportionality coefficient.

4. method according to claim 1, is characterized in that, described and described main plot disturbs relevant data message to comprise: with frequency re-use, traffic weight coefficient and same penalty coefficient frequently; And

Described acquisition and described main plot disturb the step of relevant data message to comprise:

Obtain the average distance between described main plot and the first floor adjacent cell that divides in advance, and the minimum value in the distance of described main plot and co-frequency neighbor cell, wherein, described co-frequency neighbor cell is: there is the adjacent cell with multiplexed situation frequently with described main plot;

The ratio obtaining described average distance and described minimum value is described with frequency re-use;

The ratio obtaining described main plot CU quantity and described main plot number of carriers is described traffic weight coefficient;

According to the same frequency situation of described main plot and described adjacent cell, and the described penalty value corresponding with situation frequently pre-set, obtain described with penalty coefficient frequently.

5. method according to claim 4, is characterized in that, described and described main plot disturbs relevant data message also to comprise: the value of scrambler penalty coefficient and compound code character correlation; And

Described acquisition and described main plot disturb the step of relevant data message also to comprise:

Obtain the scrambler facilities of described main plot and described adjacent cell, when the scrambler facilities of described main plot and described adjacent cell violates scrambling code planning condition, the penalty value corresponding according to the described violation scrambling code planning condition pre-set, obtains described scrambler penalty coefficient;

According to described main plot and the scrambler facilities of described adjacent cell and the value of scrambler inter-class correlation, the value obtaining the scrambler inter-class correlation of described main plot and described adjacent cell is the value of described compound code character correlation.

6. method according to claim 5, is characterized in that, described according to described first proportionality coefficient and described data message, the step obtaining the Annoyance Index that described main plot is subject to comprises:

According to described first proportionality coefficient, described same re-use frequently, described traffic weight coefficient and described same penalty coefficient frequently, obtain the frequency interferences index that described main plot is subject to;

According to described first proportionality coefficient, the described value with frequency re-use, described traffic weight coefficient, described same penalty coefficient, described scrambler penalty coefficient and described compound code character correlation frequently, obtain the scrambling interference index that described main plot is subject to; And

Described according to described second proportionality coefficient and described data message, the step obtaining the external Annoyance Index in described main plot comprises:

According to described second proportionality coefficient, described same re-use frequently, described traffic weight coefficient and described same penalty coefficient frequently, obtain the frequency interferences index that described main plot is external;

According to described second proportionality coefficient, the described value with frequency re-use, described traffic weight coefficient, described same penalty coefficient, described scrambler penalty coefficient and described compound code character correlation frequently, obtain the scrambling interference index that described main plot is external; And

The external Annoyance Index of the Annoyance Index that the described main plot of described acquisition is subject to and described main plot and comprise for the step of total Annoyance Index of described main plot:

Obtain the external frequency interferences index of frequency interferences index that described main plot is subject to and described main plot and be the sum frequency Annoyance Index of described main plot;

Obtain the external scrambling interference index of scrambling interference index that described main plot is subject to and described main plot and be total scrambling interference index of described main plot.

7. obtain a device for TD SDMA TD-SCDMA Annoyance Index, it is characterized in that, comprising:

First acquisition module, for obtaining the signal strength information of the adjacent cell that the terminal that belongs to main plot to be measured gathers in predetermined period, and disturb relevant data message to described main plot, wherein said adjacent cell is the community adjacent with described main plot divided in advance;

Second acquisition module, in the signal strength information of described adjacent cell, obtains the first proportionality coefficient shared by information meeting the first disturbed condition, and according to described first proportionality coefficient and described data message, obtains the Annoyance Index that described main plot is subject to;

3rd acquisition module, for obtaining the signal strength information of the described main plot that the terminal that belongs to described adjacent cell gathers in described predetermined period;

4th acquisition module, in the signal strength information of described main plot, obtains the second proportionality coefficient shared by information meeting the second disturbed condition, and according to described second proportionality coefficient and described data message, obtains the Annoyance Index that described main plot is external;

5th acquisition module, for obtain the external Annoyance Index of Annoyance Index that described main plot is subject to and described main plot and be total Annoyance Index of described main plot.

8. device according to claim 7, is characterized in that, described first disturbed condition is: the difference of the incoming level of described adjacent cell and the incoming level of described main plot is in the preset range causing interference; And

Described second acquisition module comprises:

6th acquisition module, in the signal strength information of described adjacent cell, obtains the first homogenous frequency signal quantity and the first alien frequencies number of signals that meet described first disturbed condition;

7th acquisition module, for according to the same frequency weight coefficient that pre-sets and alien frequencies weight coefficient, obtain after described first homogenous frequency signal quantity and described first alien frequencies number of signals weighting and;

8th acquisition module, for according to after described first homogenous frequency signal quantity and described first alien frequencies number of signals weighting and, obtain described first proportionality coefficient.

9. method according to claim 7, is characterized in that, described second disturbed condition is: the difference of the incoming level of described main plot and the incoming level of described adjacent cell is in the preset range causing interference; And

Described 4th acquisition module comprises:

9th acquisition module, in the signal strength information of described main plot, obtains the second homogenous frequency signal quantity and the second alien frequencies number of signals that meet described second disturbed condition;

Tenth acquisition module, for according to the same frequency weight coefficient that pre-sets and alien frequencies weight coefficient, obtain after described second homogenous frequency signal quantity and described second alien frequencies number of signals weighting and;

11 acquisition module, for according to after described second homogenous frequency signal quantity and described second alien frequencies number of signals weighting and, obtain described second proportionality coefficient.

10. method according to claim 7, is characterized in that, described and described main plot disturbs relevant data message to comprise: with frequency re-use, traffic weight coefficient and same penalty coefficient frequently; And

Described first acquisition module comprises:

First obtains submodule, for obtaining the average distance between described main plot and the first floor adjacent cell that divides in advance, and the minimum value in the distance of described main plot and co-frequency neighbor cell, wherein, described co-frequency neighbor cell is: there is the adjacent cell with frequency multiplexed situation with described main plot;

Second obtains submodule, is described with frequency re-use for obtaining the ratio of described average distance and described minimum value;

3rd obtains submodule, is described traffic weight coefficient for obtaining the ratio of described main plot CU quantity and described main plot number of carriers;

4th obtains submodule, for the same frequency situation according to described main plot and described adjacent cell, and the described penalty value corresponding with situation frequently pre-set, obtain described with frequency penalty coefficient.

11. methods according to claim 10, is characterized in that, described and described main plot disturbs relevant data message also to comprise: the value of scrambler penalty coefficient and compound code character correlation; And

Described first acquisition module also comprises:

5th obtains submodule, for obtaining the scrambler facilities of described main plot and described adjacent cell, when the scrambler facilities of described main plot and described adjacent cell violates scrambling code planning condition, the penalty value corresponding according to the described violation scrambling code planning condition pre-set, obtains described scrambler penalty coefficient;

6th obtains submodule, and for according to the scrambler facilities of described main plot and described adjacent cell and the value of scrambler inter-class correlation, the value obtaining the scrambler inter-class correlation of described main plot and described adjacent cell is the value of described compound code character correlation.

12. methods according to claim 11, is characterized in that, described second acquisition module comprises:

First frequency acquisition module, for according to described first proportionality coefficient, described same re-use frequently, described traffic weight coefficient and described same penalty coefficient frequently, obtains the frequency interferences index that described main plot is subject to;

First scrambler acquisition module, for according to described first proportionality coefficient, the described value with frequency re-use, described traffic weight coefficient, described same penalty coefficient, described scrambler penalty coefficient and described compound code character correlation frequently, obtain the scrambling interference index that described main plot is subject to; And

Described 4th acquisition module comprises:

Second frequency acquisition module, for according to described second proportionality coefficient, described same re-use frequently, described traffic weight coefficient and described same penalty coefficient frequently, obtains the frequency interferences index that described main plot is external;

Second scrambler acquisition module, for according to described second proportionality coefficient, the described value with frequency re-use, described traffic weight coefficient, described same penalty coefficient, described scrambler penalty coefficient and described compound code character correlation frequently, obtain the scrambling interference index that described main plot is external; And

Described 5th acquisition module comprises:

3rd frequency acquisition module, for obtain the external frequency interferences index of frequency interferences index that described main plot is subject to and described main plot and be the sum frequency Annoyance Index of described main plot;

3rd scrambler acquisition module, for obtain the external scrambling interference index of scrambling interference index that described main plot is subject to and described main plot and be total scrambling interference index of described main plot.