CN102082601B - Method and device for processing uplink pilot channel interference - Google Patents

Abstract

The invention discloses a method and device for processing uplink pilot channel interference. The method comprises the following steps: determining the threshold of the uplink pilot channel interference under the condition that the call completing rate of each cell in multiple cells meets the preset call completing rate requirement; determining the minimum uplink pilot channel deviation value, more than the minimum offset threshold, of each cell under the conditions that the field intensity of the uplink pilot channel interference of the cell is determined to be lower than the interference threshold and the call completing rate of the cell meets the preset call completing rate requirement; and deviating the uplink pilot channel of the cell according to the determined minimum uplink pilot channel deviation value. According to the invention, the factor of the call completing rate can be considered in the process of determining the uplink pilot channel deviation value, the call completing rate of the cell can be improved, and the system interference level can be comprehensively reduced.

Description

Ascending pilot channel disturbs processing method and device

Technical field

The present invention relates to the communications field, relate in particular to a kind of ascending pilot channel and disturb processing method and device.

Background technology

At present, at actual TD SDMA (Time Division-Synchronous CodeDivision Multiple Access, referred to as TD-SCDMA) find in wireless network deployment process, between each base station, phase mutual interference is comparatively serious, and this interference can have a strong impact on the performance of uplink synchronous.Be embodied in a base station (interference base station) at descending pilot frequency time slot (Downlink Pilot Time Slot, referred to as DwPTS) signal of upper transmitting arrives another base station (interfered base station) after propagation, although synchronous mutually between base station, but because propagation delay is longer, this DwPTS signal may enter uplink pilot time slot (the Uplink Pilot Time Slot of interfered base station, referred to as UpPTS) time slot, even enter the TS1 time slot of interfered base station, in this case, when receiving upward signal, interfered base station will receive interference, affect the call completing rate of system.

In order to reduce this interference, in TD-SCDMA system, introduced UpPCH migration technology scheme, the diverse location by up channel UpPCH flexible configuration at the different ascending time slots of wireless sub-frame.This position can be by radio network controller (Radio Network Controller, referred to as RNC) according to base station (Node B), the interference of ascending time slot is measured and established, the order that terminal receives RNC sends ascending pilot channel (Uplink Pilot Channel at the correct position of frame, referred to as UpPCH), to reach the object of evading interference.When the call completing rate of some community continues lower or while occurring that UpPCH disturbs alarm, network optimization personnel can adjust by network management system the deviant of UpPCH, disturb object thereby reach to reduce.

In current TD-SCDMA wireless network, base station distribution is comparatively intensive, especially under the environment of dense city, station spacing is conventionally between 300 meters to 600 meters, and wireless signal complicated difficult is accurately to orient interference base station, and UpPCH interference is normally formed by stacking by a plurality of base stations DwPTS signal.Network optimization personnel adjustment UpPCH deviant is mainly to determine according to UpPCH interference statistics value at present.

But, network optimization personnel will exist UpPCH to disturb the community unification of alarm to be adjusted to identical UpPCH deviant conventionally at present, because the transmitting power of UpPCH is larger, after adjustment, can inevitably increase the interference level of business time-slot, and, the artificial unified adjustment of UpPCH side-play amount can not improve call completing rate, is unfavorable for that the UpPCH skew of optimizing each community arranges.

For the UpPCH side-play amount adjustment of current community, can not improve call completing rate, be unfavorable for the UpPCH skew setting of each community and the problem that UpPCH skew adjustment can increase business time-slot interference level, not yet propose effective solution.

Summary of the invention

For the UpPCH side-play amount adjustment of correlation technique small area, can not improve call completing rate, be unfavorable for the UpPCH skew setting of each community and the problem that UpPCH skew adjustment can increase business time-slot interference level, the present invention proposes a kind of ascending pilot channel and disturbs processing method and device, can when adjusting each cell uplink pilot channel deviant, improve the call completing rate of community, avoid the interference bringing due to skew adjustment.

Technical scheme of the present invention is achieved in that

The invention provides a kind of ascending pilot channel and disturb processing method, the method comprises: the call completing rate of determining each community in a plurality of communities meets the interference threshold value that the ascending pilot channel in the situation of presetting call completing rate requirement disturbs; For each community, the ascending pilot channel interference field strength of determining community reaches in the situation that predetermined call completing rate requires lower than the call completing rate of interference threshold value and community, the minimum ascending pilot channel deviant that is greater than smallest offset threshold value of community; According to the minimum ascending pilot channel deviant of determining, the ascending pilot channel of community is offset.

Wherein, the processing of determining the minimum ascending pilot channel deviant of community specifically comprises: the ascending pilot channel interference field strength of determining community reaches the ascending pilot channel deviant under each scene in a plurality of scenes that predetermined call completing rate requires and a plurality of scene lower than the call completing rate of interference threshold value and community; Using ascending pilot channel deviant minimum in the ascending pilot channel deviant of a plurality of scenes as minimum ascending pilot channel deviant.

Particularly, can determine the ascending pilot channel deviant under a plurality of scenes according to following formula:

$(\hat{P}={\∫}_{-\∞}^{x=Z}{\∫}_{t=\mathrm{UpPCHpos}}^{\∞}f(x,t))>=P,$

Wherein,

for the call completing rate under each scene, x is ascending pilot channel interference field strength under each scene, Z is interference threshold value, t is the ascending pilot channel deviant under each scene, UpPCHpos is smallest offset threshold value, f (x, t) is the binary probability density function about x and t, the call completing rate value that P requires for default call completing rate.

In addition, can determine the ascending pilot channel deviant under a plurality of scenes according to following formula:

Wherein, for the call completing rate under each scene, M is the interference sample number of ascending pilot channel deviation post in a plurality of scenes, N is the quantity of ascending pilot channel deviation post in a plurality of scenes, m is ascending pilot channel interference field strength under each scene, Z is interference threshold value, n is the ascending pilot channel deviant under each scene, and UpPCHpos is smallest offset threshold value, and & is logical AND operation.

The method can further comprise: the ascending pilot channel deviant of adjusting a plurality of communities according to genetic algorithm.

Wherein, can represent the adaptive value function that in genetic algorithm, ascending pilot channel skew is adjusted by following formula:

$f=C_{\min }-(N+\mathrm{\α}\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{|T_i-T_{i0}|}^2),$

Wherein, f is the value of ideal adaptation value function, and N is the region quantity that exists ascending pilot channel to disturb, and α is weight coefficient, T _ibe the ascending pilot channel deviant after the i time UP skew adjusted, T _i0be the ascending pilot channel skew initial value before the i time UP skew adjusted, the number of times of n for adjusting, C _minfor predetermined constant, α is weight coefficient.

Further, can represent the average adaptive value function of colony that the ascending pilot channel skew of a plurality of communities in genetic algorithm is adjusted by following formula:

$f_{\mathrm{avg}}=\frac{1}{\mathrm{PopSize}}\underset{i}{\mathrm{\Σ}}f,$

Wherein, f _avgfor the value of the average adaptive value function of the corresponding colony in a plurality of communities, PopSize is group size.

Further, can represent crossover operator and the mutation operator in genetic algorithm by following formula:

$p_c=\left\{\begin{array}{cc}{p}_{c1}-\frac{(p_{c1}-p_{c2})(f^{\&prime;}-f_{\mathrm{avg}})}{f_{\max }-f_{\mathrm{avg}}},& f^{\&prime;}\&GreaterEqual;f_{\mathrm{avg}}\\ p_{c1},& f^{\&prime;}<f_{\mathrm{avg}},\end{array}\right.$

$p_m=\left\{\begin{array}{cc}{p}_{m1}-\frac{(p_{m1}-p_{m2})(f_{\max }-f)}{f_{\max }-f_{\mathrm{avg}}},& f\&GreaterEqual;f_{\mathrm{avg}}\\ p_{m1},& {f<f}_{\mathrm{avg}},\end{array}\right.$

Wherein, p _cfor crossover operator, p _mfor mutation operator, f _maxfor fitness value maximum in colony, f _avgfor the value of the average adaptive value function of colony, f ' is larger fitness function value in two individualities that will intersect in colony, and f is for making a variation individual fitness value, p _c1, p _c2, p _m1, and p _m2for predetermined constant.

According to a further aspect in the invention, provide a kind of ascending pilot channel to disturb processing unit, this device comprises: the first determination module, for determining that the call completing rate of each community, a plurality of community meets the ascending physical signal interference threshold value in the situation of presetting call completing rate requirement; The second determination module, be used for for each community, the ascending pilot channel interference field strength of determining community reaches in the situation that predetermined call completing rate requires lower than the call completing rate of interference threshold value and community, and community is greater than the minimum ascending pilot channel deviant of smallest offset threshold value; Migration processing module, for being offset the ascending pilot channel of community according to the minimum ascending pilot channel deviant of determining.

Wherein, the second determination module reaches a plurality of scenes that predetermined call completing rate requires and the ascending pilot channel deviant under each scene of a plurality of scene for the ascending pilot channel interference field strength of determining community lower than the call completing rate of interference threshold value and community, and using ascending pilot channel deviant minimum in the ascending pilot channel deviant of a plurality of scenes as minimum ascending pilot channel deviant.

This device can further comprise: adjusting module, and for adjust the ascending pilot channel deviant of a plurality of communities according to genetic algorithm.

Further, the adaptive value function that in genetic algorithm, ascending pilot channel skew is adjusted represents by following formula:

$f=C_{\min }-(N+\mathrm{\&alpha;}\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{|T_i-T_{i0}|}^2),$

Wherein, f is the value of ideal adaptation value function, and N is the region quantity that exists ascending pilot channel to disturb, and α is weight coefficient, T _ibe the ascending pilot channel deviant after the i time UP skew adjusted, T _i0be the ascending pilot channel skew initial value before the i time UP skew adjusted, the number of times of n for adjusting, C _minfor predetermined constant, α is weight coefficient.

Further, the average adaptive value function of colony that in genetic algorithm, the skew of the ascending pilot channel of a plurality of communities is adjusted represents by following formula:

$f_{\mathrm{avg}}=\frac{1}{\mathrm{PopSize}}\underset{i}{\mathrm{\&Sigma;}}f,$

Wherein, f _avgfor the value of the average adaptive value function of the corresponding colony in a plurality of communities, PopSize is group size.

Further, the crossover operator in genetic algorithm and mutation operator represent by following formula:

$p_c=\left\{\begin{array}{cc}{p}_{c1}-\frac{(p_{c1}-p_{c2})(f^{\&prime;}-f_{\mathrm{avg}})}{f_{\max }-f_{\mathrm{avg}}},& f^{\&prime;}\&GreaterEqual;f_{\mathrm{avg}}\\ p_{c1},& f^{\&prime;}<f_{\mathrm{avg}},\end{array}\right.$

$p_m=\left\{\begin{array}{cc}{p}_{m1}-\frac{(p_{m1}-p_{m2})(f_{\max }-f)}{f_{\max }-f_{\mathrm{avg}}},& f\&GreaterEqual;f_{\mathrm{avg}}\\ p_{m1},& {f<f}_{\mathrm{avg}},\end{array}\right.$

Wherein, p _cfor crossover operator, p _mfor mutation operator, f _maxfor fitness value maximum in colony, f _avgfor the value of the average adaptive value function of colony, f ' is larger fitness function value in two individualities that will intersect in colony, and f is for making a variation individual fitness value, p _c1, p _c2, p _m1, and p _m2for predetermined constant.

The present invention also provides a kind of ascending pilot channel to disturb processing method, the method comprises: in the call completing rate of community, reach that predetermined call completing rate requires, the ascending pilot channel interference field strength of community in the scene lower than peak excursion value thresholding, determines the ascending pilot channel deviant of the scene small area of ascending pilot channel interference field strength minimum lower than the ascending pilot channel deviant of interference threshold value and community; According to definite ascending pilot channel deviant, the ascending pilot channel of community is offset.

The present invention, by determining the relation of call completing rate and ascending pilot channel skew, makes definite ascending pilot channel deviant can consider call completing rate factor, not only can avoid adjusting call completing rate adverse effect, can also improve the call completing rate of community; And, by each community is adjusted, can overall reduction system in interference level, avoided ascending pilot channel skew in prior art that the interference level that can increase business time-slot, the problem that cannot arrange each community are set.

Accompanying drawing explanation

Fig. 1 disturbs the flow chart of processing method according to the ascending pilot channel of the inventive method embodiment;

Fig. 2 disturbs according to the ascending pilot channel of the inventive method embodiment the flow chart that carries out genetic algorithm in processing method;

Fig. 3 realizes the schematic diagram that disturbs the system of processing method according to the ascending pilot channel of the inventive method embodiment.

Embodiment

In correlation technique, UpPCH skew is adjusted and can not be adopted unified adjustment mode in conjunction with community call completing rate and a plurality of community, like this, after adjustment, not only can not improve call completing rate, and can increase the business time-slot interference level of community.For this problem, the relation that the present invention proposes based on interference field strength and call completing rate is determined corresponding UpPCH deviant, and according to definite deviant, the UpPCH of community is offset, thereby the UpPCH skew that makes community can be considered the call completing rate of community, from each community, start with and carry out respectively UpPCH migration processing, reduce the business time-slot interference level in whole system.

Below by the related meanings of paper UpPCH.

In the communication systems such as TD-SCDMA, subscriber equipment (User Equipment, referred to as UE) can send UpPCH signal to Node B according to the time of the downlink pilot frequency channel receiving (Downlink Pilot Channel, referred to as DwPCH).The time started of UpPCH, (TTX-UpPCH) can be expressed as follows:

T _TX-UpPCH＝T _RX-DwPCH-2Δt _p+12*16T _c，

Wherein, this result can be expressed as the integral multiple of 1/8 chip, wherein, and T _tX-UpPCHthe UpPCH transmitting time started of relative UE time (now, using the time of UE as with reference to the time, as required, the time that other timing modes can also be obtained is as with reference to the time), T _rX-DwPCHthe DwPCH that is the relative UE time receives the time started; 2 Δs _tpbe the pre-set time of UpPCH (UpPCHADV), its default value is 48Tc.UpPCH migration technology is that RNC measures and establishes the interference of ascending time slot according to Node B, and the order that terminal receives RNC sends uplink synchronous channel (UpPCH) at the correct position of frame, and concrete transmitting time can be expressed as:

T _TX-UpPCH＝T _RX-DwPCH-2Δt _p+12*16T _c+nUpPCHshift*16T _c，

Wherein, nUpPCHshift=0 .., 127, nUpPCHshift is by upper-layer protocol assignment.

Realization of the present invention need to be based on model of the present invention the relation disturbed of call completing rate and UpPCH, then could can calculate and be met the UpPCH side-play amount that call completing rate requires according to the statistical property of disturbing based on UpPCH; Finally designed the device that a kind of real-time adjustment UpPCH disturbs., will the relation of how to confirm call completing rate and UpPCH interference be described below.

As everyone knows, it is to be based upon on the basis of the network coverage that call completing rate requires, if call completing rate will reach to a certain degree, wireless network covers and also must reach corresponding degree.For example, the covering design of TD-SCDMA requirement is at present region >-95dBm of PCCPCH RSCP outdoor 95%, region >-85dBm of indoor 95% (building that have indoor distributed system); Region >-3dB of PCCPCH C/I outdoor 95%, region >-3dB of indoor 95% (building that have indoor distributed system).Obviously, PCCPCH RSCP >=-95dBm and PCCPCH C/I >=-3dB are the judgment condition that TD-SCDMA covers.According to the up-downgoing of TD-SCDMA system, with feature frequently, can think up also should have identical requirement, that is, and and can not be greater than-98dBm of UpPCH interference value.

Based on this relation, just can adopt the solution of the present invention to carry out the adjustment of deviant, below in conjunction with accompanying drawing, describe embodiments of the invention in detail.

Embodiment of the method

In the present embodiment, provide a kind of ascending pilot channel to disturb processing method.

As shown in Figure 1, according to the ascending pilot channel of the present embodiment, disturb processing method to comprise:

Step S102, according to aforesaid way, determines that the call completing rate of each community in a plurality of communities meets the interference threshold value that the UpPCH in the situation of presetting call completing rate requirement disturbs;

Step S104, for each community, the UpPCH interference field strength of determining community reaches in the situation that predetermined call completing rate requires lower than the call completing rate of interference threshold value and community, the minimum UpPCH deviant that is greater than smallest offset threshold value of community;

Step S106, is offset the UpPCH of community according to the minimum UpPCH deviant of determining.

In prior art, according to the requirement of call completing rate, do not determine the size of UpPCH side-play amount, in above-mentioned processing, determined the relation of call completing rate and UpPCH skew, make definite UpPCH deviant can consider call completing rate factor, not only can avoid adjusting call completing rate adverse effect, can also improve the call completing rate of community; Above-mentioned processing can be adjusted each community, thereby interference level in overall reduction system has avoided UpPCH skew in prior art that the interference level that can increase business time-slot, the problem that cannot arrange each community are set.

Wherein, in step S104, determine that the processing of the minimum UpPCH deviant of community specifically comprises: the UpPCH interference field strength of determining community reaches the UpPCH deviant under each scene in a plurality of scenes that predetermined call completing rate requires and a plurality of scene lower than the call completing rate of interference threshold value and community; Using UpPCH deviant minimum in the UpPCH deviant of a plurality of scenes as minimum UpPCH deviant.

Particularly, can determine the UpPCH deviant under a plurality of scenes according to following formula:

$(\hat{P}={\&Integral;}_{-\&infin;}^{x=Z}{\&Integral;}_{t=\mathrm{UpPCHpos}}^{\&infin;}f(x,t))>=P,$

Wherein,

for the call completing rate under each scene, x is UpPCH interference field strength (dBm) under each scene, Z is interference threshold value, t is the UpPCH deviant under each scene, UpPCHpos is smallest offset threshold value, f (x, t) is the binary probability density function about x and t, the call completing rate value that P requires for default call completing rate.

For clear, above formula table can be shown:

$\hat{P}(x<=Z,t>\mathrm{UpPCHpos})={\&Integral;}_{-\&infin;}^{x=Z}{\&Integral;}_{t=\mathrm{UpPCHpos}}^{\&infin;}f(x,t)>=P,$

If require call completing rate to reach P, UpPCH bias size is the minimum value of the t that meets above-mentioned formula.

The left-half of above-mentioned inequality has represented that when being greater than certain UpPCH skew (, while being greater than UpPCHpos) interference field strength is lower than the probability of threshold value, and this probability should be greater than the call completing rate requirement on inequality the right; Otherwise do not meet the requirement of call completing rate.In order to obtain UpPCH deviant accurately, can solve above-mentioned inequality to each community, obtain the minimum t value of each community, and utilize this t value to carry out ascending pilot channel skew to corresponding community.

In order to reduce the treating capacity of the ascending pilot channel deviant of obtaining each community, in network management system, can regularly add up the UpPCH interferometry of each community diverse location point.According to the UpPCH interferometry of diverse location, can determine the UpPCH deviant under a plurality of scenes according to following formula:

Wherein,

for the call completing rate under each scene, M is the interference sample number (certain sampling location of community being caused to the region quantity of interference) of UpPCH deviation post in a plurality of scenes, N is the quantity of UpPCH deviation post in a plurality of scenes, m is UpPCH interference field strength under each scene, Z is interference threshold value, n is the UpPCH deviant under each scene, and UpPCHpos is smallest offset threshold value, and & is logical AND operation.

By above-mentioned processing, can determine whether call completing rate meets call completing rate requirement based on limited quantity sampled result.

Preferably, when determining, from maximum UpPCHpos _maxvalue starts to calculate then calculate UpPCHpos _max-1

value, until $\hat{P}<P,$ This UpPCHpos value is optimum UpPCH bias size.

It should be noted that, in above-mentioned processing, the community for Yi Ge has been described, in the situation that disturb lower than default call completing rate, require corresponding interference threshold to determine the processing of minimum UpPCH deviant, similarly, can also reach in the call completing rate of community that predetermined call completing rate requires, the UpPCH interference field strength of community in the scene lower than peak excursion value thresholding, determines the UpPCH deviant of the scene small area of UpPCH interference field strength minimum lower than the UpPCH deviant of interference threshold value and community; According to definite UpPCH deviant, the UpPCH of community is offset.Now, final determine that the UpPCH deviant obtaining is interference field strength deviant hour, can be in different ways for different demands.

Because UpPCH bias size is adjusted in the variation that prior art can not be disturbed according to UpPCH in time, and the adjustment of wireless network may all may be carried out whenever and wherever possible, and UpPCH disturbs and also can change thereupon; Based on UpPCH, disturb alarm to adjust UpPCH skew and just seem that flexibility ratio is inadequate, the too high call completing rate performance that affects of alarming threshold, too low may cause disturbing increase.In the present invention, the correlation based on above-mentioned call completing rate and UpPCH skew, by genetic algorithm, can adjust UpPCH bias size adaptively, has promoted optimization accuracy.

By describing the present invention in detail, adopt genetic algorithm to carry out the process of UpPCH deviant adjustment below.

As shown in Figure 2, first, need definite UpPCH interference position region, find out the particular location that UP disturbs, and collect interference field strength information, the Up interference offset finding is carried out to chromosome coding;

Afterwards, need initialization colony, determine chromogene and the chromosomal coded system of algorithm.

Then, need to select Adaptability Evaluation standard, that is, determine individual fitness and colony's adaptive value, detailed process is as follows:

(1) determine ideal adaptation value function, that is, general adaptive value function is target function, wherein, wish bin number N (that is, the disturbing sample) minimum that exists UP to disturb in this community after UP interference optimization, wish that UP deviation range is little simultaneously, be therefore defined as follows:

Adaptive value function while adjusting UP skew $f=C_{\min }-(N+\mathrm{\&alpha;}\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{|T_i-T_{i0}|}^2)$ Wherein α is weight coefficient, T _ibe the deviant after i UP skew adjusted, T _i0for its original offset value, the number of times of n for adjusting, C _minfor predetermined constant, α is weight coefficient.Because adaptive value function requires numerical value, more represent that adaptability is better, and in this programme, wish that the skew of UpPCH is the smaller the better, therefore introduce C _min, change

symbol, the value of α can be that (for example convergence algorithm requirements) determined according to the actual requirements.

(2) the average adaptive value of colony $f_{\mathrm{avg}}=\frac{1}{\mathrm{PopSize}}\underset{i}{\mathrm{\&Sigma;}}f,$ PopSize is group size.

(4) carry out Selecting operation, determine to select operator, that is, the two matches combination mutually to determine optimum conversation strategy and the selection operator based on adaptive value size order.

(5) carry out crossing operation and variation computing, wherein, crossover operator p _cwith mutation operator p _mexpression formula is as follows:

$p_c=\left\{\begin{array}{cc}{p}_{c1}-\frac{(p_{c1}-p_{c2})(f^{\&prime;}-f_{\mathrm{avg}})}{f_{\max }-f_{\mathrm{avg}}},& f^{\&prime;}\&GreaterEqual;f_{\mathrm{avg}}\\ p_{c1},& f^{\&prime;}<f_{\mathrm{avg}},\end{array}\right.$

$p_m=\left\{\begin{array}{cc}{p}_{m1}-\frac{(p_{m1}-p_{m2})(f_{\max }-f)}{f_{\max }-f_{\mathrm{avg}}},& f\&GreaterEqual;f_{\mathrm{avg}}\\ p_{m1},& {f<f}_{\mathrm{avg}},\end{array}\right.$

Wherein, f _maxfor fitness value maximum in colony, f _avgthe average fitness value of Wei Meidai colony, f ' is larger fitness value in two individualities that will intersect, f is the individual fitness value that will make a variation, p _c1, p _c2, p _m1, and p _m2for predetermined constant.

(6) by individual fitness and colony's adaptive value, differentiate, differentiate algorithm and whether arrive anticipation effect, if do not reached, repeating step (3) is to (5); If be effective, output optimum results, that is, and the UpPCH deviant after output is optimized.

To the concrete application example of genetic algorithm be described below.

(1) first,, by determining objective optimization region, judge the related cell 1,2,3,4 that this region memory disturbs at UpPCH.

(2) according to the scope of UpPCH, determine the length of chromosome binary coding string and the conversion relation that binary coding arrives actual angle sizes values;

(3) initialization colony, is assigned to each individual its chromosomal concrete genic value in colony, and it forms by 1 and 0; Group size is PopSize.

(4) each individuality is evaluated, detailed process is as follows:

(41) according to each individual chromosome, converse the big or small t of its UpPCH side-play amount _i, at this, be respectively t ₁, t ₃, t ₄.According to its side-play amount size, can recalculate the field intensity intensity of optimizing Ge community, region UpPCH channel;

(42) each bin in this optimization region is traveled through to calculating:

A, a certain bin is calculated to community 1,2,3,4 to UpPCH field intensity value herein;

B, the field intensity value according to each community at the UpPCH of this bin, judge whether it still exists UpPCH to disturb;

(43) obtain still existing the bin sum N of UpPCH interference;

(44) calculate this individual fitness function $f=N+\mathrm{\&alpha;}\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{|T_i-T_{\mathrm{io}}|}^2,$ Wherein α is weight coefficient, undetermined.T _ibe the UpPCH skew after i community adjusted, T _i0for its original UpPCH skew.The community number of n for adjusting.N=4. in this example

(45) obtain the average fitness f of this colony _avg;

(5) according to its fitness value, intersect breeding and obtain colony of new generation;

(6) in parent and the colony of new generation that just obtained, utilize optimum conversation strategy to select operator and the selection operator based on adaptive value size order to select PopSize individuality.

(7) individuality the 8th step being obtained obtains new individuality according to certain mutation operator;

(8) judge whether iteration algebraically reaches the upper limit, if reach upper limit Output rusults, the result of output is to adjust Hou Ge community UpPCH side-play amount, otherwise forwards (4) to.

By adopting genetic algorithm, can be in real time or with certain hour granularity, realize the optimization of the UpPCH side-play amount of each community, there is higher accuracy, and can when each community is optimized, consider the impact of other communities, the whole call completing rate that comprises a plurality of communities is effectively optimized.

Above-mentioned processing of the present invention, comprises and determines the UpPCH deviant of each community and by genetic algorithm, carry out the processing that UpPCH skew self adaptation regulates and can realize by the device shown in Fig. 3.As shown in Figure 3, this device can comprise webmaster, data acquisition system, UP bias size determining device, trigger equipment is adjusted in UP skew, wherein, webmaster can be controlled data acquisition system and carry out interference field strength, the isoparametric collection in position, UP bias size determining device can be for determining the UpPCH deviant of each community according to call completing rate desired value, trigger equipment is adjusted in UP skew can be for triggering the adjustment that the UpPCH deviant of community is carried out, preferably, the mode of adjustment can adopt above-mentioned genetic algorithm.

Device embodiment

In the present embodiment, provide a kind of ascending pilot channel to disturb processing unit.

According to the ascending pilot channel of the present embodiment, disturb processing unit to comprise: the first determination module, for determining that the call completing rate of each community, a plurality of community meets the ascending physical signal interference threshold value in the situation of presetting call completing rate requirement; The second determination module, for for each community, the UpPCH interference field strength of determining community reaches in the situation that predetermined call completing rate requires lower than the call completing rate of interference threshold value and community, and community is greater than the minimum UpPCH deviant of smallest offset threshold value; Migration processing module, for being offset the UpPCH of community according to the minimum UpPCH deviant of determining.

In prior art, according to the requirement of call completing rate, do not determine the size of UpPCH side-play amount, said apparatus has been determined the relation of call completing rate and UpPCH skew, make definite UpPCH deviant can consider call completing rate factor, not only can avoid adjusting call completing rate adverse effect, can also improve the call completing rate of community; Said apparatus can be adjusted each community, thereby interference level in overall reduction system has avoided UpPCH skew in prior art that the interference level that can increase business time-slot, the problem that cannot arrange each community are set.

Wherein, the second determination module reaches a plurality of scenes that predetermined call completing rate requires and the UpPCH deviant under each scene of a plurality of scene for the UpPCH interference field strength of determining community lower than the call completing rate of interference threshold value and community, and using UpPCH deviant minimum in the UpPCH deviant of a plurality of scenes as minimum UpPCH deviant.

Particularly, the second determination module can be determined the UpPCH deviant under a plurality of scenes according to following formula:

$(\hat{P}={\&Integral;}_{-\&infin;}^{x=Z}{\&Integral;}_{t=\mathrm{UpPCHpos}}^{\&infin;}f(x,t))>=P,$

Wherein,

for the call completing rate under each scene, x is UpPCH interference field strength (dBm) under each scene, Z is interference threshold value, t is the UpPCH deviant under each scene, UpPCHpos is smallest offset threshold value, f (x, t) is the binary probability density function about x and t, the call completing rate value that P requires for default call completing rate.

For clear, above formula table can be shown:

$\hat{P}(x<=Z,t>\mathrm{UpPCHpos})={\&Integral;}_{-\&infin;}^{x=Z}{\&Integral;}_{t=\mathrm{UpPCHpos}}^{\&infin;}f(x,t)>=P,$

If require call completing rate to reach P, UpPCH bias size is the minimum value of the t that meets above-mentioned formula.

This device may further include: adjusting module, and for adjust the UpPCH deviant of a plurality of communities according to genetic algorithm.

Particularly, the adaptive value function that in genetic algorithm, UpPCH skew is adjusted represents by following formula:

$f=C_{\min }-(N+\mathrm{\&alpha;}\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{|T_i-T_{i0}|}^2)$

Wherein, f is the value of ideal adaptation value function, and N is the region quantity that exists UpPCH to disturb, and α is weight coefficient, T _ibe the UpPCH deviant after the i time UP skew adjusted, T _i0be the UpPCH skew initial value before the i time UP skew adjusted, the number of times of n for adjusting, C _minfor predetermined constant, α is weight coefficient.

And the average adaptive value function of colony that in genetic algorithm, the UpPCH of a plurality of communities skew is adjusted represents by following formula:

$f_{\mathrm{avg}}=\frac{1}{\mathrm{PopSize}}\underset{i}{\mathrm{\&Sigma;}}f,$

Wherein, f _avgfor the value of the average adaptive value function of the corresponding colony in a plurality of communities, PopSize is group size.

In addition, the crossover operator in genetic algorithm and mutation operator represent by following formula:

$p_c=\left\{\begin{array}{cc}{p}_{c1}-\frac{(p_{c1}-p_{c2})(f^{\&prime;}-f_{\mathrm{avg}})}{f_{\max }-f_{\mathrm{avg}}},& f^{\&prime;}\&GreaterEqual;f_{\mathrm{avg}}\\ p_{c1},& f^{\&prime;}<f_{\mathrm{avg}},\end{array}\right.$

$p_m=\left\{\begin{array}{cc}{p}_{m1}-\frac{(p_{m1}-p_{m2})(f_{\max }-f)}{f_{\max }-f_{\mathrm{avg}}},& f\&GreaterEqual;f_{\mathrm{avg}}\\ p_{m1},& {f<f}_{\mathrm{avg}},\end{array}\right.$

Wherein, p _cfor crossover operator, p _mfor mutation operator, f _maxfor fitness value maximum in colony, f _avgfor the value of the average adaptive value function of colony, f ' is larger fitness function value in two individualities that will intersect in colony, and f is for making a variation individual fitness value, p _c1, p _c2, p _m1, and p _m2for predetermined constant.

In sum, by means of technique scheme of the present invention, by determining the relation of call completing rate and UpPCH skew, make definite UpPCH deviant can consider call completing rate factor, not only can avoid adjusting call completing rate adverse effect, can also improve the call completing rate of community; And, by each community is adjusted, can overall reduction system in interference level, avoided UpPCH skew in prior art that the interference level that can increase business time-slot, the problem that cannot arrange each community are set; By adopting genetic algorithm, can be in real time or with certain hour granularity, realize the optimization of the UpPCH side-play amount of each community, there is higher accuracy, and can when each community is optimized, consider the impact of other communities, the whole call completing rate that comprises a plurality of communities is effectively optimized.

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 modification of doing, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.

Claims (13)

1. ascending pilot channel disturbs a processing method, it is characterized in that, described method comprises:

The call completing rate of determining each community in a plurality of communities meets the interference threshold value that the ascending pilot channel in the situation of presetting call completing rate requirement disturbs;

For described each community, the ascending pilot channel interference field strength of determining described community reaches in the situation that predetermined call completing rate requires lower than the call completing rate of described interference threshold value and described community, the minimum ascending pilot channel deviant that is greater than smallest offset threshold value of described community;

According to the described minimum ascending pilot channel deviant of determining, the ascending pilot channel of described community is offset;

Wherein, the processing of determining the minimum ascending pilot channel deviant of described community specifically comprises:

The ascending pilot channel interference field strength of determining described community reaches the ascending pilot channel deviant under each scene in a plurality of scenes that predetermined call completing rate requires and described a plurality of scene lower than the call completing rate of described interference threshold value and described community;

Using ascending pilot channel deviant minimum in the ascending pilot channel deviant of described a plurality of scenes as described minimum ascending pilot channel deviant.

2. method according to claim 1, is characterized in that, according to following formula, determines the ascending pilot channel deviant under described a plurality of scene:

$(\hat{P}={\&Integral;}_{-\&infin;}^{x=Z}{\&Integral;}_{t=\mathrm{UpPCHpos}}^{\&infin;}f(x,t))>=P,$

Wherein,

for the call completing rate under described each scene, x is ascending pilot channel interference field strength under described each scene, Z is described interference threshold value, t is the ascending pilot channel deviant under described each scene, UpPCHpos is described smallest offset threshold value, f (x, t) is the binary probability density function about x and t, and P is the call completing rate value that described default call completing rate requires.

3. method according to claim 1, is characterized in that, according to following formula, determines the ascending pilot channel deviant under described a plurality of scene:

Wherein,

for the call completing rate under described each scene, M is the interference sample number of ascending pilot channel deviation post in described a plurality of scene, N is the quantity of ascending pilot channel deviation post in described a plurality of scene, m is ascending pilot channel interference field strength under described each scene, Z is described interference threshold value, n is the ascending pilot channel deviant under described each scene, and UpPCHpos is described smallest offset threshold value, and & is logical AND operation.

4. method according to claim 1, is characterized in that, further comprises: the ascending pilot channel deviant of adjusting described a plurality of communities according to genetic algorithm.

5. method according to claim 4, is characterized in that, by following formula, represents the adaptive value function that in genetic algorithm, ascending pilot channel skew is adjusted:

$f=C_{\min }-(N+\mathrm{\&alpha;}\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{|T_i-T_{i0}|}^2),$

Wherein, f is the value of ideal adaptation value function, and N is the region quantity that exists ascending pilot channel to disturb, and α is weight coefficient, T _ibe the ascending pilot channel deviant after the i time UP skew adjusted, T _i0be the ascending pilot channel skew initial value before the i time UP skew adjusted, the number of times of n for adjusting, C _minfor predetermined constant, α is weight coefficient.

6. method according to claim 5, is characterized in that, by following formula, represents the average adaptive value function of colony that the ascending pilot channel skew of a plurality of communities described in genetic algorithm is adjusted:

$f_{\mathrm{avg}}=\frac{1}{\mathrm{PopSize}}\underset{i}{\mathrm{\&Sigma;}}f,$

Wherein, f _avgfor the value of the average adaptive value function of the corresponding colony in described a plurality of communities, PopSize is described group size.

7. method according to claim 6, is characterized in that, by following formula, represents crossover operator and the mutation operator in genetic algorithm:

$p_c=\left\{\begin{array}{cc}{p}_{c1}-\frac{(p_{c1}-p_{c2})(f\text{'}-f_{\mathrm{avg}})}{f_{\max }-f_{\mathrm{avg}}},& f\text{'}\&GreaterEqual;f_{\mathrm{avg}}\\ p_{c1},& f\text{'}<f_{\mathrm{avg}}\end{array}\right.,$

$p_m=\left\{\begin{array}{cc}{p}_{m1}-\frac{(p_{m1}-p_{m2})(f_{\max }-f)}{f_{\max }-f_{\mathrm{avg}}},& f\text{'}\&GreaterEqual;f_{\mathrm{avg}}\\ p_{m1},& f\text{'}<f_{\mathrm{avg}}\end{array}\right.,$

Wherein, p _cfor crossover operator, p _mfor mutation operator, f _maxfor fitness value maximum in described colony, f _avgfor the value of the average adaptive value function of described colony, f ' is larger fitness function value in two individualities that will intersect in described colony, and f is for making a variation individual fitness value, p _c1, p _c2, p _m1, and p _m2for predetermined constant.

8. ascending pilot channel disturbs a processing unit, it is characterized in that, described device comprises:

The first determination module, for determining that the call completing rate of each community, a plurality of community meets the ascending physical signal interference threshold value in the situation of presetting call completing rate requirement;

The second determination module, be used for for described each community, the ascending pilot channel interference field strength of determining described community reaches in the situation that predetermined call completing rate requires lower than the call completing rate of described interference threshold value and described community, and described community is greater than the minimum ascending pilot channel deviant of smallest offset threshold value;

Migration processing module, for being offset the ascending pilot channel of described community according to the described minimum ascending pilot channel deviant of determining;

Wherein, described the second determination module reaches a plurality of scenes that predetermined call completing rate requires and the ascending pilot channel deviant under described each scene of a plurality of scene for the ascending pilot channel interference field strength of determining described community lower than the call completing rate of described interference threshold value and described community, and using ascending pilot channel deviant minimum in the ascending pilot channel deviant of described a plurality of scenes as described minimum ascending pilot channel deviant.

9. device according to claim 8, is characterized in that, further comprises:

Adjusting module, for adjusting the ascending pilot channel deviant of described a plurality of communities according to genetic algorithm.

10. device according to claim 9, is characterized in that, the adaptive value function that in genetic algorithm, ascending pilot channel skew is adjusted represents by following formula:

$f=C_{\min }-(N+\mathrm{\&alpha;}\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{|T_i-T_{i0}|}^2),$

Wherein, f is the value of ideal adaptation value function, and N is the region quantity that exists ascending pilot channel to disturb, and α is weight coefficient, T _ibe the ascending pilot channel deviant after the i time UP skew adjusted, T _i0be the ascending pilot channel skew initial value before the i time UP skew adjusted, the number of times of n for adjusting, C _minfor predetermined constant, α is weight coefficient.

11. devices according to claim 10, is characterized in that, the average adaptive value function of colony that the ascending pilot channel skew of a plurality of communities described in genetic algorithm is adjusted represents by following formula:

$f_{\mathrm{avg}}=\frac{1}{\mathrm{PopSize}}\underset{i}{\mathrm{\&Sigma;}}f,$

Wherein, f _avgfor the value of the average adaptive value function of the corresponding colony in described a plurality of communities, PopSize is described group size.

12. devices according to claim 11, is characterized in that, the crossover operator in genetic algorithm and mutation operator represent by following formula:

$p_c=\left\{\begin{array}{cc}{p}_{c1}-\frac{(p_{c1}-p_{c2})(f\text{'}-f_{\mathrm{avg}})}{f_{\max }-f_{\mathrm{avg}}},& f\text{'}\&GreaterEqual;f_{\mathrm{avg}}\\ p_{c1},& f\text{'}<f_{\mathrm{avg}},\end{array}\right.$

$p_m=\left\{\begin{array}{cc}{p}_{m1}-\frac{(p_{m1}-p_{m2})(f_{\max }-f)}{f_{\max }-f_{\mathrm{avg}}},& f\text{'}\&GreaterEqual;f_{\mathrm{avg}}\\ p_{m1},& f\text{'}<f_{\mathrm{avg}}\end{array}\right.,$

Wherein, p _cfor crossover operator, p _mfor mutation operator, f _maxfor fitness value maximum in described colony, f _avgfor the value of the average adaptive value function of described colony, f ' is larger fitness function value in two individualities that will intersect in described colony, and f is for making a variation individual fitness value, p _c1, p _c2, p _m1, and p _m2for predetermined constant.

13. 1 kinds of ascending pilot channels disturb processing method, it is characterized in that, described method comprises:

In the call completing rate of community, reach that predetermined call completing rate requires, the ascending pilot channel interference field strength of described community is lower than the ascending pilot channel deviant of interference threshold value and described community in the scene lower than peak excursion value thresholding, determines the ascending pilot channel deviant of community described in the scene of ascending pilot channel interference field strength minimum;

According to the described ascending pilot channel deviant of determining, the ascending pilot channel of described community is offset.

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