CN102256256B - Method and device for planning frequency and scrambling codes - Google Patents

Abstract

The invention provides a method and device for planning frequency and scrambling codes. The method comprises the following steps of: acquiring network parameter information and sweep frequency data in a planning region; constructing an interference matrix according to the network parameter information and the sweep frequency data, wherein the interference matrix comprises a same-frequency interference matrix and a scrambling code correlation matrix; distributing frequencies for each cell in the planning region according to the same-frequency interference matrix, and distributing scrambling codes for each cell in the planning region according to the scrambling code correlation matrix. By applying the scheme of the invention, the accuracy of frequency and scrambling code planning can be improved, namely, a frequency and scrambling code distribution mode with optimal overall interference level of the network can be acquired, so that the network quality and the user experience can be improved.

Description

A kind of frequency and scrambling planning method and device

Technical field

The present invention relates to mobile communication technology, particularly a kind of frequency and scrambling planning method and device.

Background technology

In TD SDMA (TD-SCDMA, Time Division-Synchronous CodeDivision Multiple Access) network, because frequency resource is limited, identical networking is unavoidable.Specifically, in TD-SCDMA network, available frequency band is 15M bandwidth, and available frequency is only 9, and considers indoor reserved frequency, existing network frequency planning scheme adopts the mode of multicarrier with frequency alien frequencies network interworking more, like this, will inevitably occur that the main carrier of main Serving cell and periphery adjacent area is with situation frequently, thereby cause minizone to have co-channel interference, therefore, need to carry out rational frequency planning.

In addition, in TD-SCDMA network, can utilize scrambler to distinguish different communities, because scrambler has that number of chips is few, chip is short and the feature such as the correlation variation between code after displacement, if therefore scrambling code planning is improper, can cause well distinguishing different communities, scrambler disturbs each other.Therefore, need to carry out rational scrambling code planning.

In prior art, mainly depend on cell topology and Neighboring Cell List etc. and carry out frequency and scrambling code planning, as carried out frequency planning according to the multiplex mode of legacy cellular, carry out scrambling code planning based on propagation model and electronic chart etc., but can there is certain problem in this mode in actual applications, due to lack can the true disturbed condition of reaction network interference matrix, therefore cause program results not accurate enough.

Summary of the invention

In view of this, main purpose of the present invention is to provide a kind of frequency and scrambling planning method based on TD-SCDMA network, can improve the accuracy of frequency and scrambling code planning.

Another object of the present invention is to provide a kind of frequency and scrambling code planning device, can improve the accuracy of frequency and scrambling code planning.

For achieving the above object, technical scheme of the present invention is achieved in that

A kind of frequency and scrambling planning method, comprising:

Obtain network parameter information and frequency sweep data in planning region;

According to described network parameter information and frequency sweep data construct interference matrix, described interference matrix comprises co-channel interference matrix and scrambler correlation matrix;

Being the each cell allocation frequency in planning region according to described co-channel interference matrix, is the each cell allocation scrambler in planning region according to described scrambler correlation matrix.

A kind of frequency and scrambling code planning device, comprising:

Acquiring unit, for obtaining network parameter information and the frequency sweep data in planning region;

Construction unit, according to described network parameter information and frequency sweep data construct interference matrix, described interference matrix comprises co-channel interference matrix and scrambler correlation matrix;

Planning unit, for being the each cell allocation frequency in planning region, is the each cell allocation scrambler in planning region according to described scrambler correlation matrix according to described co-channel interference matrix.

Visible, adopt technical scheme of the present invention, first build interference matrix, comprise co-channel interference matrix and scrambler correlation matrix, then being the each cell allocation frequency in planning region according to co-channel interference matrix, is the each cell allocation scrambler in planning region according to scrambler correlation matrix.Because interference matrix can reflect the real disturbed condition of network preferably, therefore can make follow-up frequency and scrambling code planning result more accurate, obtain frequency and the scrambler method of salary distribution of network overall interference level optimum, thereby promote network quality and user's impression.

Brief description of the drawings

Fig. 1 is the disturbed condition schematic diagram between existing main Serving cell and interfered cell.

Fig. 2 is the flow chart of frequency planning method embodiment of the present invention.

Fig. 3 is the flow chart of scrambling planning method embodiment of the present invention.

Fig. 4 is the composition structural representation of frequency of the present invention and scrambling code planning device embodiment.

Embodiment

In actual applications, in the time that main Serving cell communicates, can be interfered the to some extent interference of community, interference matrix reflection be exactly in network arbitrarily Liang Ge community under different frequency and different scrambling codes, the interference effect degree of Dui Zhu Serving cell, interfered cell.As shown in Figure 1, Fig. 1 is the disturbed condition schematic diagram between existing main Serving cell and interfered cell.The interference effect degree of Dui Zhu Serving cell, interfered cell depends primarily on following factor: the level difference RSCP between He Zhu Serving cell, interfered cell _m-RSCP _n(RSCP _mrepresent the level value of main Serving cell, RSCP _nrepresent the level value of interfered cell), the scrambler SC that adopts of interfered cell _nthe scrambler SC adopting with main Serving cell _mbetween scrambler correlation, and the telephone traffic Erl of interfered cell carrying _ntelephone traffic Erl with the carrying of main Serving cell _mdeng.Wherein, the level value of interfered cell is larger, stronger to the interference of main Serving cell; Scrambler correlation is stronger, disturb stronger, and scrambler correlation and time delay closely related; In addition, the telephone traffic of little area carrier is more, illustrates that its importance is higher, also illustrates that it is more easily subject to the interference of other community or disturbs other community simultaneously.

In scheme of the present invention, by collection and analysis to network parameter information and frequency sweep data, obtain level difference and the time delay etc. of each minizone in network, and in conjunction with the telephone traffic situation of each little area carrier, the interference matrix that constructs the true disturbed condition of reflection network, described interference matrix comprises co-channel interference matrix and scrambler correlation matrix; Afterwards, according to co-channel interference matrix, be the each cell allocation frequency in planning region, according to scrambler correlation matrix, for the each cell allocation scrambler in planning region, thereby frequency and the scrambler method of salary distribution of acquisition network overall interference level optimum promote network quality and user's impression.

For make technical scheme of the present invention clearer, understand, referring to the accompanying drawing embodiment that develops simultaneously, scheme of the present invention is described in further detail.

Fig. 2 is the flow chart of frequency planning method embodiment of the present invention.As shown in Figure 2, comprise the following steps:

Step 21: obtain network parameter information and frequency sweep data in planning region, and determine every community that frequency sweep data are corresponding according to network parameter information.

In this step, obtain planning desired data, comprise the network parameter information of directly obtaining from operator, it is the relevant information of each community, comprise that cell information is (as cell ID, Channel, SYNC_DL, Midamble, and the latitude and longitude information of community etc.), neighboring BS information, traffic measurement and networking demand etc., in addition, carry frequency sweep equipment by network test personnel, road in planning region (comprises arterial highway, by-path and lane, street etc.) above test and obtain frequency sweep data, the specifying information content that frequency sweep data comprise and precision are subject to the restriction of frequency sweep equipment.How obtaining frequency sweep data is prior art, repeats no more.

In the manner described above, can obtain many frequency sweep data, every the equal corresponding Yi Ge of frequency sweep data community, in addition, all will at least comprise the following information content in every frequency sweep data:

Time: time;

Longtitude: longitude;

Latitude: latitude;

Channel: community Primary Common Control Physical Channel (PCCPCH, Primary Common ControlPhysical Channel) place frequency;

Midamble: training sequence code, exists one-to-one relationship with scrambler;

SYNC_DL: descending synchronous signal channel code;

PCCPCH RSCP: the received signal code power of Primary Common Control Physical Channel;

The time offset of PCCPCH TimeOffset:PCCPCH channel, unit is 1/8chip, for the time delay between calculation plot.

Wherein, described longitude and latitude are test position longitude and latitude.

Channel, SYNC_DL in every frequency sweep data and Midamble information are mated with Channel, SYNC_DL and the Midamble information of the each community in network parameter information, to meet coupling requirement, Channel, SYNC_DL and the consistent community of Midamble information are defined as community corresponding to these frequency sweep data.But, after processing in this manner, may there is the situation of the corresponding multiple communities of frequency sweep data, in this case, can further utilize latitude and longitude information to determine the community that these frequency sweep data are corresponding, according to the latitude and longitude information of each community, community nearest distance test position is defined as to community corresponding to these frequency sweep data.

Step 22: determine the frequency sweep point under every frequency sweep number respectively.

In the present embodiment, frequency sweep data identical Time information are defined as belonging to the frequency sweep data of same frequency sweep point.

Step 23: determine main Serving cell and interfered cell in each frequency sweep point.

Each frequency sweep point all can corresponding many frequency sweep data, every the corresponding Yi Ge of frequency sweep data community, in the present embodiment, by the community of PCCPCH RSCP value maximum in each frequency sweep point, and be defined as main Serving cell with the difference of the PCCPCH RSCP of value maximum in 6dB scope Nei community; After Wei Zhu Serving cell, definite Liao Mou community, other community in this frequency sweep point is the interfered cell of this main Serving cell.

Illustrate, frequency sweep point k is corresponding 10Ge community altogether, and its small area 1 and community 2 are confirmed as main Serving cell, and so for community 1, all the other 9 communities are its interfered cell, and same, for community 2, all the other 9 communities are its interfered cell.

Step 24: calculate the level difference between each main Serving cell and the each interfered cell in each frequency sweep point, according to the frequency sweep data in all frequency sweep points, determine the each main Serving cell of planning in region and the level difference between each interfered cell, i.e. level difference between community between two.

This step, for the each main Serving cell in each frequency sweep point k, calculates respectively the level difference LevD of itself and each interfered cell _k:

LevD _kthe PCCPCH RSCP of the PCCPCH RSCP-interfered cell of=main Serving cell.(1)

In actual applications, for the frequency sweep data of Mou Liangge community, may all get at multiple frequency sweep points, and then may obtain multiple level differences, in this case, can be according to pre-defined rule, therefrom select a level difference as the level difference of finally determining, such as, getting the most bad 5% level difference is the level difference between community 1 and community 2, why so select, to fully take into account the situation of serious interference in network to be optimized, certainly, herein only for illustrating, in actual applications, concrete selection mode is not limit.

Step 25: obtain the corresponding relation between the level difference of minizone and the relative coefficient of minizone according to existing network test data, and according to the level difference of determining in step 24, determine the relative coefficient between each main Serving cell and each interfered cell.

Corresponding relation between the level difference of described minizone and the relative coefficient of minizone can be stored by mode shown in table one:

Level difference LevD interval	Minizone degree of relevancy	Relative coefficient C_int
			LevD＞6dB	Can think and not be subject to the impact of co-channel interference	0
3＜LevD≤6dB	Can think and not be subject to the impact of co-channel interference	0.1
			0＜LevD≤3dB	Can think and not be subject to the impact of co-channel interference	0.2

-3＜LevD≤0dB	Can think and not be subject to the impact of co-channel interference	0.4
			-6＜LevD≤-3dB	May be subject to the impact of co-channel interference	0.8
LevD≤-6dB	Seriously be subject to the impact of co-channel interference, substantially can not solve scrambler	1.0

The relation of the level difference of table one minizone and the relative coefficient of minizone

As shown in Table 1, if the level difference of two minizones is greater than 6dB, the relative coefficient between Ze Zheliangge community is 0; Be less than or equal to 6dB if the level difference of two minizones is greater than 3dB, the relative coefficient between Ze Zheliangge community is 0.1; Other repeats no longer one by one.

Step 26: calculate the frequency optimization cost value of each main Serving cell under the different frequency method of salary distribution according to the relative coefficient of determining.

In this step, utilize the frequency optimization cost value Cost_Pri of the each main Serving cell of frequency optimization cost function calculation under the different frequency method of salary distribution _i:

$\mathrm{Cost}\_\mathrm{Pr}{i}_i=\underset{j=1}{\overset{M_i}{\mathrm{\Σ}}}W\_{\mathrm{Cell}}_i{\mathrm{Pri}}_{i,j}C\_{\mathrm{int}}_{i,j};---\left(2\right)$

Wherein, i represents arbitrary main Serving cell, and j represents arbitrary interfered cell of this main Serving cell, and W_Celli represents the weight of main Serving cell, and by decisions such as the residing positions of telephone traffic and community of community, concrete value is determined according to actual conditions, C_int _{i, j}represent the relative coefficient between main Serving cell and interfered cell, Pri _{i, j}represent the co-channel interference factor, in the time of the same frequency of the main carrier between main Serving cell and interfered cell, value is 1, otherwise is 0, M _irepresent the interfered cell total quantity of main Serving cell.

Step 27: obtain co-channel interference matrix according to result of calculation.

According to formula (2), can obtain co-channel interference matrix, wherein record the frequency optimization cost value of each main Serving cell under the different frequency method of salary distribution.

Step 28: be the each cell allocation frequency in planning region according to co-channel interference matrix.

In order to guarantee that the whole network is in a minimum interference level, in this step, by genetic algorithm, calculate respectively the whole network frequency optimization cost value under the different frequency method of salary distribution:

$\mathrm{Cost}\_\mathrm{Pri}=\underset{i=1}{\overset{\mathrm{Cell}\_\mathrm{Num}}{\mathrm{\Σ}}}\mathrm{Cost}\_{\mathrm{Pri}}_i;---\left(3\right)$

Wherein, Cell_Num represents the total quantity (each main Serving cell is different districts) of main Serving cell; For each frequency distributing mode, by the now frequency optimization cost value addition of each main Serving cell, addition result is the whole network frequency optimization cost value respectively; Afterwards, the Cost_Pri value method of salary distribution hour being determined to optimum allocation mode, is the each cell allocation frequency in planning region according to this method of salary distribution.

Fig. 3 is the flow chart of scrambling planning method embodiment of the present invention.As shown in Figure 3, comprise the following steps:

Step 31: calculate the time delay between each main Serving cell and the each interfered cell in each frequency sweep point.

In the present embodiment, need to first build scrambler correlation matrix, and the structure of scrambler correlation matrix and following four factors are about the weight of relative coefficient, scrambler correlation static table, scrambler time delay distribution and community between community.Wherein, the obtain manner of the relative coefficient between community is introduced in embodiment illustrated in fig. 2, repeats no more; Scrambler correlation static table is for illustrating the correlation of community under different scrambling codes, different delay between two, and its obtain manner is prior art, repeats no more; The weight of community is by decisions such as the residing positions of telephone traffic and community of community, and concrete value is determined according to actual conditions; In addition, because scrambler has, chip is short, the feature such as correlation variation after displacement between code, therefore needs to consider the time delay correlation of scrambler, and the time delay between Liang Ge community has certain rule, is mainly reflected in the following aspects:

1) scrambler (compound key) is taking-8～8chip as scope;

2) time delay of minizone is larger, and level difference is also larger, and in the time that time delay exceedes certain value, the interference of minizone is negligible;

3) in the common region covering, Liang Ge community, the time delay distribution between Liang Ge community has certain stability;

4) signal of main Serving cell is the strongest, space loss minimum, and time delay is relatively little, and the time delay of interfered cell is generally larger;

5) time delay distribution and topology of networks, propagation model, multipath channel, fast mobile terminal speed and user distribution etc. are closely related.

In the present embodiment, on each frequency sweep point, determine behind main Serving cell and interfered cell, calculate respectively the time delay TaD between each main Serving cell and each interfered cell:

The PCCPCH TimeOffset of the PCCPCH TimeOffset-interfered cell of the main Serving cell of TaD=.

(4)

In the present embodiment, time delay precision is taken as 1/4chip, and this also matches with the actual time delay precision of current frequency sweep equipment.For the each time delay calculating, can further carry out following processing: the time delay outside be discarded in-8～8chip scope, in addition, from the angle of data reliability, if (scrambler scope is-8～8chip, and time delay precision is 1/4chip in a time delay grouping, so have 64 groupings) in sampling number (being positioned at the time delay number of this point of class range) very few, be less than predetermined threshold, such as 10, abandon this time delay grouping.

Step 32: according to the time delay calculating, calculate the scrambling code optimum cost value of the each main Serving cell of planning in region under the different scrambling codes method of salary distribution.

In this step, first calculate each Serving cell and the each interfered cell correlation Corr_Value (i, j) under different scrambling codes:

$\mathrm{Corr}\_\mathrm{Value}(i,j)=\underset{d=-32/4}{\overset{32/4}{\mathrm{\Σ}}}\mathrm{Corr}\_\mathrm{Value}(i,j,d)P\_\mathrm{delay}\left(d\right);---\left(5\right)$

Wherein, i represents arbitrary main Serving cell, and j represents its arbitrary interfered cell, Corr_Value (i, j, d) represent scrambler correlation static table, P_delay (d) represents the sampled data accounting that time delay is d, Corr_Value (i, j, d) and the value of P_delay (d) all can determine by time delay, how to confirm is prior art, repeats no more.

Afterwards, calculate the scrambling code optimum cost value Cost_SC of each main Serving cell under the different scrambling codes method of salary distribution _i:

$\mathrm{Cost}\_{\mathrm{SC}}_i=\underset{j=1}{\overset{M_i}{\mathrm{\Σ}}}\underset{d=-32/4}{\overset{32/4}{\mathrm{\Σ}}}W\_{\mathrm{Cell}}_i\mathrm{Same}\_{\mathrm{Fre}}_{i,j}C\_{\mathrm{int}}_{i,j}\mathrm{Corr}\_\mathrm{Value}(i,j,d)P\_\mathrm{delay}\left(d\right);---\left(6\right)$

Wherein, i represents arbitrary main Serving cell, and j represents its arbitrary interfered cell, W_Cell _irepresent the weight of main Serving cell, Same_Fre _{i, j}for the same factor frequently, in the time of the same frequency of the main carrier between main Serving cell and interfered cell, value is 1, otherwise is 0, C_int _{i, j}represent the relative coefficient between main Serving cell and interfered cell, M _irepresent the interfered cell total quantity of main Serving cell.

Step 33: obtain scrambler correlation matrix according to result of calculation.

According to formula (6), can obtain scrambler correlation matrix, wherein record the scrambling code optimum cost value of each main Serving cell under the different scrambling codes method of salary distribution.

Step 34: be the cell allocation scrambler in planning region according to scrambler correlation matrix.

In order to guarantee that the whole network is in a minimum interference level, calculate respectively the whole network scrambling code optimum cost value Cost_SC under the different scrambling codes method of salary distribution:

$\mathrm{Cost}\_\mathrm{SC}=\underset{i=1}{\overset{\mathrm{Cell}\_\mathrm{Num}}{\mathrm{\Σ}}}\mathrm{Cost}\_{\mathrm{SC}}_i;---\left(7\right)$

Wherein, Cell_Num represents the total quantity of main Serving cell, then the Cost_SC value method of salary distribution hour is defined as to optimum allocation mode, is the each cell allocation scrambler in planning region according to this method of salary distribution.

So far, completed the introduction about the inventive method embodiment.

Based on above-mentioned introduction, Fig. 4 is the composition structural representation of frequency of the present invention and scrambling code planning device embodiment.As shown in Figure 4, comprising:

Acquiring unit 41, for obtaining network parameter information and the frequency sweep data in planning region;

Construction unit 42, according to described network parameter information and frequency sweep data construct interference matrix, described interference matrix comprises co-channel interference matrix and scrambler correlation matrix;

Planning unit 43, for being the each cell allocation frequency in planning region, is the each cell allocation scrambler in planning region according to scrambler correlation matrix according to co-channel interference matrix.

Wherein, in construction unit 42, can specifically comprise:

Determine subelement 421, for Channel, the SYNC_DL of every frequency sweep data X and Midamble information are mated with Channel, SYNC_DL and the Midamble information of each community respectively, the community that meets coupling requirement is defined as to community corresponding to frequency sweep data X; Be greater than 1 if meet the number of the community of coupling requirement, community nearest distance test position be defined as to community corresponding to frequency sweep data X; Frequency sweep data identical Time information are defined as belonging to the frequency sweep data of same frequency sweep point; By the community of the received signal code power PCCPCH RSCP value maximum of Primary Common Control Physical Channel in each frequency sweep point, and be defined as main Serving cell with the difference of the PCCPCH RSCP of value maximum in 6dB scope Nei community, for each main Serving cell, other community in this frequency sweep point is its interfered cell;

First builds subelement 422, for calculating the level difference between each main Serving cell and each interfered cell of each frequency sweep point, according to the frequency sweep data in all frequency sweep points, determine the each main Serving cell of planning in region and the level difference between each interfered cell, i.e. level difference between community between two; Obtain the corresponding relation between the level difference of minizone and the relative coefficient of minizone, and according to the level difference of determining, determine the relative coefficient between each main Serving cell and each interfered cell; Calculate the frequency optimization cost value Cost_Pri of each main Serving cell under the different frequency method of salary distribution according to the relative coefficient of determining _i:

wherein, i represents arbitrary main Serving cell, and j represents arbitrary interfered cell, W_Cell _irepresent the weight of main Serving cell, C_int _{i, j}represent the relative coefficient between main Serving cell and interfered cell, Pri _{i, j}represent the co-channel interference factor, in the time of the same frequency of the main carrier between main Serving cell and interfered cell, value is 1, otherwise is 0, M _irepresent the interfered cell total quantity of main Serving cell; Obtain co-channel interference matrix according to result of calculation, in described co-channel interference matrix, record the frequency optimization cost value of each main Serving cell under the different frequency method of salary distribution;

Second builds subelement 423, for calculating the time delay between each main Serving cell and each interfered cell of each frequency sweep point; According to the time delay calculating, calculate the scrambling code optimum cost value Cost_SC of the each main Serving cell of planning in region under the different scrambling codes method of salary distribution _i;

wherein, i represents arbitrary main Serving cell, and j represents arbitrary interfered cell, W_Cell _irepresent the weight of main Serving cell, Same_Fre _{i, j}for the same factor frequently, in the time of the same frequency of the main carrier between main Serving cell and interfered cell, value is 1, otherwise is 0, C_int _{i, j}represent the relative coefficient between main Serving cell and interfered cell, M _irepresent the interfered cell total quantity of main Serving cell, Corr_Value (i, j, d) represents to disturb intersymbol dependence static table, and P_delay (d) represents the sampled data accounting that time delay is d; The value of Corr_Value (i, j, d) and P_delay (d) is all determined by time delay; Obtain scrambler correlation matrix according to result of calculation, in described scrambler correlation matrix, record the scrambling code optimum cost value of each main Serving cell under the different scrambling codes method of salary distribution.

In planning unit 43, can specifically comprise:

The first planning subelement 431, for calculating respectively the whole network frequency optimization cost value Cost_Pri under the different frequency method of salary distribution:

wherein, Cell_Num represents the total quantity of main Serving cell; The Cost_Pri value method of salary distribution hour is defined as to optimum allocation mode, is the each cell allocation frequency in planning region according to this optimum allocation mode;

The second planning subelement 432, for calculating respectively the whole network scrambling code optimum cost value Cost_SC under the different scrambling codes method of salary distribution:

wherein, Cell_Num represents the total quantity of main Serving cell; The Cost_SC value method of salary distribution hour is defined as to optimum allocation mode, is the each cell allocation scrambler in planning region according to this optimum allocation mode.

The specific works flow process of Fig. 4 shown device embodiment please refer to the respective description in embodiment of the method shown in Fig. 2 and 3, repeats no more herein.

In a word, adopt technical scheme of the present invention, can make frequency and scrambling code planning result more accurate, obtain frequency and the scrambler method of salary distribution of network overall interference level optimum, thereby promote network quality and user's impression.

The foregoing is only preferred embodiment of the present invention, in order to limit the present invention, within the spirit and principles in the present invention not all, any amendment of making, be equal to replacement, improvement etc., within all should being included in the scope of protection of the invention.

Claims (9)

1. frequency and a scrambling planning method, is characterized in that, the method comprises:

Obtain network parameter information and frequency sweep data in planning region;

According to described network parameter information and frequency sweep data construct interference matrix, described interference matrix comprises co-channel interference matrix and scrambler correlation matrix;

Being the each cell allocation frequency in planning region according to described co-channel interference matrix, is the each cell allocation scrambler in planning region according to described scrambler correlation matrix;

Describedly comprise according to described network parameter information and frequency sweep data construct interference matrix:

Determine every community that frequency sweep data are corresponding according to described network parameter information, and determine the frequency sweep point under every frequency sweep data are respectively, and main Serving cell and interfered cell in each frequency sweep point;

Build co-channel interference matrix and scrambler correlation matrix according to definite result;

Wherein, described structure co-channel interference matrix comprises:

Calculate the level difference between each main Serving cell and the each interfered cell in each frequency sweep point;

According to the frequency sweep data in all frequency sweep points, determine the each main Serving cell of planning in region and the level difference between each interfered cell, i.e. level difference between community between two;

Obtain the corresponding relation between the level difference of minizone and the relative coefficient of minizone, and according to the level difference of determining, determine the relative coefficient between each main Serving cell and each interfered cell;

Calculate the frequency optimization cost value Cost_Pri of each main Serving cell under the different frequency method of salary distribution according to the relative coefficient of determining _i: ${\mathrm{Cost}\_\mathrm{Pri}}_i=\underset{j=1}{\overset{M_i}{\mathrm{\Σ}}}W\_{\mathrm{Cell}}_i{\mathrm{Pri}}_{i,j}C\_{\mathrm{int}}_{i,j};$

Wherein, i represents arbitrary main Serving cell, and j represents arbitrary interfered cell, W_Cell _irepresent the weight of main Serving cell, C_int _i,jrepresent the relative coefficient between main Serving cell and interfered cell, Pri _i,jrepresent the co-channel interference factor, in the time of the same frequency of the main carrier between main Serving cell and interfered cell, value is 1, otherwise is 0, M _irepresent the interfered cell total quantity of main Serving cell;

Obtain co-channel interference matrix according to result of calculation, in described co-channel interference matrix, record the frequency optimization cost value of each main Serving cell under the different frequency method of salary distribution;

Described structure scrambler correlation matrix comprises:

Calculate the time delay between each main Serving cell and the each interfered cell in each frequency sweep point;

According to the time delay calculating, calculate the scrambling code optimum cost value Cost_SC of the each main Serving cell of planning in region under the different scrambling codes method of salary distribution _i;

${\mathrm{Cost}\_\mathrm{SC}}_i=\underset{j=1}{\overset{M_i}{\mathrm{\Σ}}}\underset{d=-32/4}{\overset{32/4}{\mathrm{\Σ}}}W\_{\mathrm{Cell}}_i\mathrm{Same}\_{\mathrm{Fre}}_{i,j}C\_{\mathrm{int}}_{i,j}\mathrm{Corr}\_\mathrm{Value}(i,j,d)P\_\mathrm{delay}\left(d\right);$

Wherein, i represents arbitrary main Serving cell, and j represents arbitrary interfered cell, W_Cell _irepresent the weight of main Serving cell, Same_Fre _i,jfor the same factor frequently, in the time of the same frequency of the main carrier between main Serving cell and interfered cell, value is 1, otherwise is 0, C_int _i,jrepresent the relative coefficient between main Serving cell and interfered cell, M _irepresent the interfered cell total quantity of main Serving cell, Corr_Value (i, j, d) represents to disturb intersymbol dependence static table, and P_delay (d) represents the sampled data accounting that time delay is d; The value of Corr_Value (i, j, d) and P_delay (d) is all determined by time delay;

Obtain scrambler correlation matrix according to result of calculation, in described scrambler correlation matrix, record the scrambling code optimum cost value of each main Serving cell under the different scrambling codes method of salary distribution.

2. method according to claim 1, it is characterized in that, the latitude and longitude information that includes Primary Common Control Physical Channel PCCPCH place, community frequency Channel, descending synchronous signal channel code SYNC_DL, training sequence code Midamble and test position in described every frequency sweep data, described network parameter information comprises cell ID, Channel, SYNC_DL, Midamble and the latitude and longitude information of each community;

Describedly determine that according to described network parameter information every community corresponding to frequency sweep data comprises:

Channel, SYNC_DL in every frequency sweep data X and Midamble information are mated with Channel, SYNC_DL and the Midamble information of each community respectively, the community that meets coupling requirement is defined as to community corresponding to frequency sweep data X;

Be greater than 1 if meet the community number of coupling requirement, according to latitude and longitude information, community nearest distance test position be defined as to community corresponding to frequency sweep data X.

3. method according to claim 1, is characterized in that, in described every frequency sweep data, includes time T ime information; Describedly determine that the frequency sweep point under every frequency sweep data are respectively comprises:

Frequency sweep data identical Time information are defined as belonging to the frequency sweep data of same frequency sweep point.

4. method according to claim 1, is characterized in that, includes the received signal code power PCCPCH RSCP information of Primary Common Control Physical Channel in described every frequency sweep data; Main Serving cell and interfered cell in described definite each frequency sweep point comprise:

By the community of PCCPCH RSCP value maximum in each frequency sweep point, and be defined as main Serving cell with the difference of the PCCPCH RSCP of value maximum in 6dB scope Nei community; For each main Serving cell, other community in this frequency sweep point is its interfered cell.

5. method according to claim 1, is characterized in that, described for planning that the each cell allocation frequency in region comprises:

Calculate respectively the whole network frequency optimization cost value Cost_Pri under the different frequency method of salary distribution:

wherein, Cell_Num represents the total quantity of main Serving cell;

The Cost_Pri value method of salary distribution hour is defined as to optimum allocation mode, is the each cell allocation frequency in planning region according to this optimum allocation mode.

6. method according to claim 1, is characterized in that, after the time delay between each main Serving cell and each interfered cell in the each frequency sweep point of described calculating, further comprises:

Time delay outside be discarded in-8～8chip scope, and, if the sampling number in the grouping of arbitrary time delay is less than predefined threshold value, abandon this time delay grouping.

7. method according to claim 1, is characterized in that, described for planning that the each cell allocation scrambler in region comprises:

Calculate respectively the whole network scrambling code optimum cost value Cost_SC under the different scrambling codes method of salary distribution:

wherein, Cell_Num represents the total quantity of main Serving cell;

The Cost_SC value method of salary distribution hour is defined as to optimum allocation mode, is the each cell allocation scrambler in planning region according to this optimum allocation mode.

8. frequency and a scrambling code planning device, is characterized in that, comprising:

Acquiring unit, for obtaining network parameter information and the frequency sweep data in planning region;

Construction unit, according to described network parameter information and frequency sweep data construct interference matrix, described interference matrix comprises co-channel interference matrix and scrambler correlation matrix;

Planning unit, for being the each cell allocation frequency in planning region, is the each cell allocation scrambler in planning region according to described scrambler correlation matrix according to described co-channel interference matrix;

Wherein, described construction unit comprises:

Determine subelement, for every frequency sweep data X Zhong community Primary Common Control Physical Channel PCCPCH place frequency Channel, descending synchronous signal channel code SYNC_DL and training sequence code Midamble information are mated with Channel, SYNC_DL and the Midamble information of each community of network parameter information respectively, be defined as community corresponding to frequency sweep data X by meeting the community that coupling requires; Be greater than 1 if meet the number of the community of coupling requirement, community nearest distance test position be defined as to community corresponding to frequency sweep data X; Frequency sweep data identical time T ime information are defined as belonging to the frequency sweep data of same frequency sweep point; By the community of the received signal code power PCCPCH RSCP value maximum of Primary Common Control Physical Channel in each frequency sweep point, and be defined as main Serving cell with the difference of the PCCPCH RSCP of value maximum in 6dB scope Nei community, for each main Serving cell, other community in this frequency sweep point is its interfered cell;

First builds subelement, for calculating the level difference between each main Serving cell and each interfered cell of each frequency sweep point, according to the frequency sweep data in all frequency sweep points, determine the each main Serving cell of planning in region and the level difference between each interfered cell, i.e. level difference between community between two; Obtain the corresponding relation between the level difference of minizone and the relative coefficient of minizone, and according to the level difference of determining, determine the relative coefficient between each main Serving cell and each interfered cell; Calculate the frequency optimization cost value Cost_Pri of each main Serving cell under the different frequency method of salary distribution according to the relative coefficient of determining _i: wherein, i represents arbitrary main Serving cell, and j represents arbitrary interfered cell, W_Cell _irepresent the weight of main Serving cell, C_int _i,jrepresent the relative coefficient between main Serving cell and interfered cell, Pri _i,jrepresent the co-channel interference factor, in the time of the same frequency of the main carrier between main Serving cell and interfered cell, value is 1, otherwise is 0, M _irepresent the interfered cell total quantity of main Serving cell; Obtain co-channel interference matrix according to result of calculation, in described co-channel interference matrix, record the frequency optimization cost value of each main Serving cell under the different frequency method of salary distribution;

Second builds subelement, for calculating the time delay between each main Serving cell and each interfered cell of each frequency sweep point; According to the time delay calculating, calculate the scrambling code optimum cost value Cost_SC of the each main Serving cell of planning in region under the different scrambling codes method of salary distribution _i; ${\mathrm{Cost}\_\mathrm{SC}}_i=\underset{j=1}{\overset{M_i}{\mathrm{\Σ}}}\underset{d=-32/4}{\overset{32/4}{\mathrm{\Σ}}}W\_{\mathrm{Cell}}_i\mathrm{Same}\_{\mathrm{Fre}}_{i,j}C\_{\mathrm{int}}_{i,j}\mathrm{Corr}\_\mathrm{Value}(i,j,d)P\_\mathrm{delay}\left(d\right);$ Wherein, i represents arbitrary main Serving cell, and j represents arbitrary interfered cell, W_Cell _irepresent the weight of main Serving cell, Same_Fre _i,jfor the same factor frequently, in the time of the same frequency of the main carrier between main Serving cell and interfered cell, value is 1, otherwise is 0, C_int _i,jrepresent the relative coefficient between main Serving cell and interfered cell, M _irepresent the interfered cell total quantity of main Serving cell, Corr_Value (i, j, d) represents to disturb intersymbol dependence static table, and P_delay (d) represents the sampled data accounting that time delay is d; The value of Corr_Value (i, j, d) and P_delay (d) is all determined by time delay; Obtain scrambler correlation matrix according to result of calculation, in described scrambler correlation matrix, record the scrambling code optimum cost value of each main Serving cell under the different scrambling codes method of salary distribution.

9. device according to claim 8, is characterized in that, described planning unit comprises:

The first planning subelement, for calculating respectively the whole network frequency optimization cost value Cost_Pri under the different frequency method of salary distribution: wherein, Cell_Num represents the total quantity of main Serving cell; The Cost_Pri value method of salary distribution hour is defined as to optimum allocation mode, is the each cell allocation frequency in planning region according to this optimum allocation mode;

The second planning subelement, for calculating respectively the whole network scrambling code optimum cost value Cost_SC under the different scrambling codes method of salary distribution:

wherein, Cell_Num represents the total quantity of main Serving cell; The Cost_SC value method of salary distribution hour is defined as to optimum allocation mode, is the each cell allocation scrambler in planning region according to this optimum allocation mode.

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