CN102082601A - 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, TD SDMA (Time Division-Synchronous CodeDivision Multiple Access in reality, abbreviate TD-SCDMA as) find in the wireless network deployment process, the phase mutual interference is comparatively serious between each base station, 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, abbreviating DwPTS as) signal of going up emission arrives another base station (interfered base station) after propagation, although it is synchronous mutually between the 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, abbreviate UpPTS as) time slot, even enter the TS1 time slot of interfered base station, in this case, will receive interference when interfered base station receives upward signal, influence the call completing rate of system.

In order to reduce this interference, introduced UpPCH migration technology scheme in the TD-SCDMA system, with the diverse location of 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, abbreviate RNC as) according to base station (Node B) interference of ascending time slot is measured and establish, the order that terminal receives RNC sends ascending pilot channel (Uplink Pilot Channel at the correct position of frame, abbreviate UpPCH as), to reach the purpose of evading interference.When the call completing rate of some sub-district continued lower or UpPCH occurs and disturb alarm, network optimization personnel can adjust the deviant of UpPCH by network management system, disturb purpose thereby reach to reduce.

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

But, network optimization personnel will exist UpPCH to disturb the sub-district unification of alarm to be adjusted to identical UpPCH deviant usually at present, because the transmitting power of UpPCH is bigger, after adjustment, can increase the interference level of business time-slot inevitably, 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 sub-district is provided with.

Can not improve call completing rate, be unfavorable for the UpPCH skew setting of each sub-district and the problem that UpPCH skew adjustment can increase the business time-slot interference level at the UpPCH side-play amount adjustment of present sub-district, not propose effective solution as yet.

Summary of the invention

Can not improve call completing rate, be unfavorable for the UpPCH skew setting of each sub-district and the problem that UpPCH skew adjustment can increase the business time-slot interference level at sub-district UpPCH side-play amount adjustment in the correlation technique, 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 sub-district, avoid because the interference that skew adjustment is brought.

Technical scheme of the present invention is achieved in that

The invention provides a kind of ascending pilot channel and disturb processing method, this method comprises: the call completing rate of determining each sub-district in a plurality of sub-districts satisfies the interference threshold value that the ascending pilot channel under the situation of presetting the call completing rate requirement disturbs; For each sub-district, the call completing rate that the ascending pilot channel interference field strength of determining the sub-district is lower than interference threshold value and sub-district reaches under the situation that predetermined call completing rate requires, the minimum ascending pilot channel deviant greater than the smallest offset threshold value of sub-district; Be offset according to the ascending pilot channel of the minimum ascending pilot channel deviant of determining the sub-district.

Wherein, the processing of determining the minimum ascending pilot channel deviant of sub-district specifically comprises: the call completing rate that the ascending pilot channel interference field strength of determining the sub-district is lower than interference threshold value and sub-district 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; With 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 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, Be the call completing rate under each scene, x is an ascending pilot channel interference field strength under each scene, Z is the interference threshold value, t is the ascending pilot channel deviant under each scene, UpPCHpos is the smallest offset threshold value, (x t) is binary probability density function about x and t to f, the call completing rate value that P requires for default call completing rate.

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

Wherein,

Be 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 an ascending pilot channel interference field strength under each scene, Z is the interference threshold value, n is the ascending pilot channel deviant under each scene, and UpPCHpos is smallest offset threshold value ， ﹠amp; Be the logical AND operation.

This method can further comprise: the ascending pilot channel deviant of adjusting a plurality of sub-districts according to genetic algorithm.

Wherein, can be offset the adaptive value function of adjusting by ascending pilot channel in the following formulate genetic algorithm:

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

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 a weight coefficient, T _iBe that the i time UP is offset adjusted ascending pilot channel deviant, 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 _MinBe predetermined constant, α is a weight coefficient.

Further, can be offset the average adaptive value function of adjusting of colony by the ascending pilot channel of a plurality of sub-districts in the following formulate genetic algorithm:

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

Wherein, f _AvgBe the value of the average adaptive value function of the pairing colony in a plurality of sub-districts, PopSize is a group size.

Further, can be by crossover operator and the mutation operator in the following formulate genetic algorithm:

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

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

Wherein, p _cBe crossover operator, p _mBe mutation operator, f _MaxBe fitness value maximum in the colony, f _AvgBe the value of the average adaptive value function of colony, f ' is the individual fitness value that will make a variation, p for bigger fitness function value in two individualities that will intersect in the colony, f _C1, p _C2, p _M1, and p _M2Be predetermined constant.

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

Wherein, second determination module is used for determining that call completing rate that the ascending pilot channel interference field strength of sub-district is lower than interference threshold value and sub-district 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, and with 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 is used for adjusting according to genetic algorithm the ascending pilot channel deviant of a plurality of sub-districts.

Further, the adaptive value function that the ascending pilot channel skew is adjusted in the genetic algorithm passes through following formulate:

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

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 a weight coefficient, T _iBe that the i time UP is offset adjusted ascending pilot channel deviant, 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 _MinBe predetermined constant, α is a weight coefficient.

Further, the average adaptive value function of colony that the skew of the ascending pilot channel of a plurality of sub-districts is adjusted in the genetic algorithm passes through following formulate:

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

Wherein, f _AvgBe the value of the average adaptive value function of the pairing colony in a plurality of sub-districts, PopSize is a group size.

Further, crossover operator in the genetic algorithm and mutation operator pass through following formulate:

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

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

Wherein, p _cBe crossover operator, p _mBe mutation operator, f _MaxBe fitness value maximum in the colony, f _AvgBe the value of the average adaptive value function of colony, f ' is the individual fitness value that will make a variation, p for bigger fitness function value in two individualities that will intersect in the colony, f _C1, p _C2, p _M1, and p _M2Be predetermined constant.

The present invention also provides a kind of ascending pilot channel to disturb processing method, this method comprises: the call completing rate in the sub-district reaches the ascending pilot channel deviant that predetermined call completing rate requires, the ascending pilot channel interference field strength of sub-district is lower than interference threshold value and sub-district and is lower than in the scene of peak excursion value thresholding, determines the ascending pilot channel deviant of sub-district in the scene of ascending pilot channel interference field strength minimum; Be offset according to the ascending pilot channel of the ascending pilot channel deviant of determining the sub-district.

The present invention makes the ascending pilot channel deviant of determining can consider the call completing rate factor by determining the relation of call completing rate and ascending pilot channel skew, not only can avoid adjusting the call completing rate adverse effect, can also improve the call completing rate of sub-district; And, by each sub-district is adjusted, can reduce interference level in the system comprehensively, avoided that the ascending pilot channel skew is provided with the interference level that can increase business time-slot in the prior art, the problem that can't be provided with each sub-district.

Description of drawings

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

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

Fig. 3 is a schematic diagram of realizing disturbing according to the ascending pilot channel of the inventive method embodiment the system of processing method.

Embodiment

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

To at first introduce the related meanings of UpPCH below.

In communication systems such as TD-SCDMA, subscriber equipment (User Equipment abbreviates UE as) can send the UpPCH signal to Node B according to the time of the downlink pilot frequency channel that receives (Downlink Pilot Channel abbreviates DwPCH as).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-UpPCHBe the relative UE time (at this moment, with time of UE as the reference time, as required, the time that other timing modes can also be obtained is as the reference time) the UpPCH emission time started, 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.The UpPCH migration technology is that RNC measures the interference of ascending time slot according to Node B and establishes, 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 the upper-layer protocol assignment.

The relation of call completing rate and UpPCH interference need have at first been set up in realization of the present invention based on the present invention, could can calculate according to the statistical property of disturbing based on UpPCH then and be met the UpPCH side-play amount that call completing rate requires; Designed the device that a kind of real-time adjustment UpPCH disturbs at last., relation how to determine that call completing rate and UpPCH disturb will 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, then wireless network covers and also must reach corresponding degree.For example, at present the covering design of TD-SCDMA require be PCCPCH RSCP outdoor 95% the zone＞-95dBm, indoor 95% zone＞-85dBm (building that indoor compartment system is arranged); The zone of PCCPCH C/I outdoor 95%＞-3dB, indoor 95% zone＞-3dB (building that indoor compartment system is arranged).Obviously, PCCPCH RSCP＞=-95dBm and PCCPCH C/I＞=-3dB is the judgment condition that TD-SCDMA covers.Can think up according to the up-downgoing of TD-SCDMA system with characteristics frequently also should have identical requirement, that is, the UpPCH interference value can not be greater than-98dBm.

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.

Method embodiment

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

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

Step S102 according to aforesaid way, determines that the call completing rate of each sub-district in a plurality of sub-districts satisfies the interference threshold value that the UpPCH under the situation of presetting the call completing rate requirement disturbs;

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

Step S106, the UpPCH to the sub-district is offset according to the minimum UpPCH deviant of determining.

Do not determine the size of UpPCH side-play amount in the prior art according to the requirement of call completing rate, determined the relation of call completing rate and UpPCH skew in the above-mentioned processing, make the UpPCH deviant of determining to consider the call completing rate factor, not only can avoid adjusting, can also improve the call completing rate of sub-district the call completing rate adverse effect; Above-mentioned processing can be adjusted each sub-district, thereby reduce interference level in the system comprehensively, has avoided that the UpPCH skew is provided with the interference level that can increase business time-slot in the prior art, the problem that can't be provided with each sub-district.

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

Particularly, can determine 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,

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

For clear, can be with above formulate:

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

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

The left-half of above-mentioned inequality has represented that greater than certain UpPCH skew the time (, during 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 satisfy the requirement of call completing rate.In order to obtain UpPCH deviant accurately, can find the solution above-mentioned inequality to each sub-district, obtain the t value of the minimum of each sub-district, and utilize this t value that the ascending pilot channel skew is carried out in corresponding sub-district.

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

Wherein, Be the call completing rate under each scene, M is the interference sample number (certain sampling location of sub-district being caused 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 a UpPCH interference field strength under each scene, Z is the interference threshold value, n is the UpPCH deviant under each scene, and UpPCHpos is smallest offset threshold value ， ﹠amp; Be the logical AND operation.

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

Preferably, when determining, from maximum UpPCHpos _MaxValue begins to calculate

Calculate UpPCHpos then _Max-1

Value, up to $\hat{P}<P,$ Then this UpPCHpos value is optimum UpPCH bias size.

It should be noted that, in above-mentioned processing, described for a sub-district, be lower than the processing of determining minimum UpPCH deviant under the situation of presetting the corresponding interference threshold of call completing rate requirement in interference, similarly, can also reach the UpPCH deviant that predetermined call completing rate requires, the UpPCH interference field strength of sub-district is lower than interference threshold value and sub-district in the call completing rate of sub-district and be lower than in the scene of peak excursion value thresholding, determine the UpPCH deviant of sub-district in the scene of UpPCH interference field strength minimum; UpPCH to the sub-district is offset according to the UpPCH deviant of determining.At this moment, determine that finally the UpPCH deviant that obtains is an interference field strength deviant hour, can be in different ways at different demands.

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

To describe the present invention below in detail adopts genetic algorithm to carry out the process that the UpPCH deviant is adjusted.

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

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

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

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

Adaptive value function when adjusting the UP skew $f=C_{\min }-(N+\mathrm{\&alpha;}\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{|T_i-T_{i0}|}^2)$ Wherein α is a weight coefficient, T _iBe that i UP is offset adjusted deviant, T _I0Be its original offset value, the number of times of n for adjusting, C _MinBe predetermined constant, α is a weight coefficient.Because the adaptive value function requires the big more adaptability of then representing of numerical value good more, and wishes in this programme that the skew of UpPCH is the smaller the better, therefore introduces 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 a group size.

(4) select computing, determine to select operator, that is, determine optimum conversation strategy and the two matches combination mutually based on the selection operator of 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 _MaxBe fitness value maximum in the colony, f _AvgBe the average fitness value of per generation colony, f ' is bigger fitness value in two individualities that will intersect, and f is the individual fitness value that will make a variation, p _C1, p _C2, p _M1, and p _M2Be predetermined constant.

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

The concrete application example of genetic algorithm will be described below.

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

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

(3) each individual its chromosomal concrete genic value of giving in the colony is promptly composed by initialization colony, and it is formed by 1 and 0; Group size is PopSize.

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

(41) converse the big or small t of its UpPCH side-play amount according to each individual chromosome _i, be respectively t at this ₁, t ₃, t ₄Can recalculate the field intensity intensity of each sub-district UpPCH channel of optimizing the zone according to its side-play amount size;

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

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

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

(43) the bin sum N that is still existed UpPCH to disturb;

(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 a weight coefficient, and is undetermined.T _iBe i the adjusted UpPCH skew in sub-district, T _I0Be its original UpPCH skew.The sub-district number of n for adjusting.N=4. in this example

(45) obtain the average fitness f of this colony _Avg

(5) intersect breeding according to its fitness value 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 select PopSize individuality based on the selection operator of adaptive value size order.

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

(8) judge whether iteration algebraically reaches the upper limit, if reach upper limit output result, the result of output promptly is adjusted each sub-district UpPCH side-play amount, otherwise forwards (4) to.

By adopting genetic algorithm, can be in real time or realize the optimization of the UpPCH side-play amount of each sub-district with the certain hour granularity, has higher accuracy, and can when each sub-district is optimized, consider the influence of other sub-districts, make that the call completing rate of the integral body comprise a plurality of sub-districts is effectively optimized.

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

Disturb processing unit to comprise according to the ascending pilot channel of present embodiment: first determination module, the call completing rate that is used for determining each sub-district, a plurality of sub-district satisfy the ascending physical signal interference threshold value under the situation that default call completing rate requires; Second determination module is used for for each sub-district, and the call completing rate that the UpPCH interference field strength of determining the sub-district is lower than interference threshold value and sub-district reaches under the situation that predetermined call completing rate requires, and the sub-district is greater than the minimum UpPCH deviant of smallest offset threshold value; The migration processing module is used for being offset according to the UpPCH of the minimum UpPCH deviant of determining to the sub-district.

Do not determine the size of UpPCH side-play amount in the prior art according to the requirement of call completing rate, said apparatus has been determined the relation of call completing rate and UpPCH skew, make the UpPCH deviant of determining to consider the call completing rate factor, not only can avoid adjusting, can also improve the call completing rate of sub-district the call completing rate adverse effect; Said apparatus can be adjusted each sub-district, thereby reduce interference level in the system comprehensively, has avoided that the UpPCH skew is provided with the interference level that can increase business time-slot in the prior art, the problem that can't be provided with each sub-district.

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

Particularly, second determination module can be determined 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,

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

For clear, can be with above formulate:

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

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

This device may further include: adjusting module is used for adjusting according to genetic algorithm the UpPCH deviant of a plurality of sub-districts.

Particularly, the adaptive value function that the UpPCH skew is adjusted in the genetic algorithm passes through following formulate:

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

Wherein, f is the value of ideal adaptation value function, and N is the region quantity that exists UpPCH to disturb, and α is a weight coefficient, T _iBe that the i time UP is offset adjusted UpPCH deviant, T _I0Be the UpPCH skew initial value before the i time UP skew adjusted, the number of times of n for adjusting, C _MinBe predetermined constant, α is a weight coefficient.

And the average adaptive value function of colony that the UpPCH of a plurality of sub-districts skew is adjusted in the genetic algorithm passes through following formulate:

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

Wherein, f _AvgBe the value of the average adaptive value function of the pairing colony in a plurality of sub-districts, PopSize is a group size.

In addition, crossover operator in the genetic algorithm and mutation operator pass through following formulate:

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

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

Wherein, p _cBe crossover operator, p _mBe mutation operator, f _MaxBe fitness value maximum in the colony, f _AvgBe the value of the average adaptive value function of colony, f ' is the individual fitness value that will make a variation, p for bigger fitness function value in two individualities that will intersect in the colony, f _C1, p _C2, p _M1, and p _M2Be predetermined constant.

In sum, by means of technique scheme of the present invention,, make the UpPCH deviant of determining to consider the call completing rate factor by determining the relation of call completing rate and UpPCH skew, not only can avoid adjusting, can also improve the call completing rate of sub-district the call completing rate adverse effect; And, by each sub-district is adjusted, can reduce interference level in the system comprehensively, avoided that the UpPCH skew is provided with the interference level that can increase business time-slot in the prior art, the problem that can't be provided with each sub-district; By adopting genetic algorithm, can be in real time or realize the optimization of the UpPCH side-play amount of each sub-district with the certain hour granularity, has higher accuracy, and can when each sub-district is optimized, consider the influence of other sub-districts, make that the call completing rate of the integral body comprise a plurality of sub-districts is effectively optimized.

The above only is preferred embodiment of the present invention, and is in order to restriction the present invention, within the spirit and principles in the present invention not all, any modification of being done, is equal to replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (15)

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

The call completing rate of determining each sub-district in described a plurality of sub-district satisfies the interference threshold value that the ascending pilot channel under the situation of presetting the call completing rate requirement disturbs;

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

Be offset according to the ascending pilot channel of the described minimum ascending pilot channel deviant of determining described sub-district.

2. method according to claim 1 is characterized in that, determines that the processing of the minimum ascending pilot channel deviant of described sub-district specifically comprises:

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

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

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

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

Wherein,

Be the call completing rate under described each scene, x is an 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, (x t) is binary probability density function about x and t to f, and P is the call completing rate value that described default call completing rate requires.

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

Wherein, Be 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 an 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 ， ﹠amp; Be the logical AND operation.

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

6. method according to claim 5 is characterized in that, is offset the adaptive value function of adjusting by ascending pilot channel in the following formulate genetic algorithm:

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

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 a weight coefficient, T _iBe that the i time UP is offset adjusted ascending pilot channel deviant, 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 _MinBe predetermined constant, α is a weight coefficient.

7. method according to claim 6 is characterized in that, is offset the average adaptive value function of colony of adjustment by the ascending pilot channel of a plurality of sub-districts described in the following formulate genetic algorithm:

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

Wherein, f _AvgBe the value of the average adaptive value function of the pairing colony in described a plurality of sub-districts, PopSize is described group size.

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

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

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

Wherein, p _cBe crossover operator, p _mBe mutation operator, f _MaxBe fitness value maximum in the described colony, f _AvgBe the value of the average adaptive value function of described colony, f ' is the individual fitness value that will make a variation, p for bigger fitness function value in two individualities that will intersect in the described colony, f _C1, p _C2, p _M1, and p _M2Be predetermined constant.

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

First determination module, the call completing rate that is used for determining each sub-district, described a plurality of sub-district satisfy the ascending physical signal interference threshold value under the situation that default call completing rate requires;

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

The migration processing module is used for being offset according to the ascending pilot channel of the described minimum ascending pilot channel deviant of determining to described sub-district.

10. device according to claim 9, it is characterized in that, described second determination module is used for determining that call completing rate that the ascending pilot channel interference field strength of described sub-district is lower than described interference threshold value and described sub-district 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, and will be in the ascending pilot channel deviant of described a plurality of scenes the ascending pilot channel deviant of minimum as described minimum ascending pilot channel deviant.

11. device according to claim 1 is characterized in that, further comprises:

Adjusting module is used for adjusting according to genetic algorithm the ascending pilot channel deviant of described a plurality of sub-districts.

12. device according to claim 11 is characterized in that, the adaptive value function that the ascending pilot channel skew is adjusted in the genetic algorithm passes through following formulate:

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

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 a weight coefficient, T _iBe that the i time UP is offset adjusted ascending pilot channel deviant, 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 _MinBe predetermined constant, α is a weight coefficient.

13. device according to claim 12 is characterized in that, the average adaptive value function of colony that the ascending pilot channel skew of a plurality of sub-districts described in the genetic algorithm is adjusted passes through following formulate:

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

Wherein, f _AvgBe the value of the average adaptive value function of the pairing colony in described a plurality of sub-districts, PopSize is described group size.

14. method according to claim 13 is characterized in that, crossover operator in the genetic algorithm and mutation operator pass through following formulate:

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

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

Wherein, p _cBe crossover operator, p _mBe mutation operator, f _MaxBe fitness value maximum in the described colony, f _AvgBe the value of the average adaptive value function of described colony, f ' is the individual fitness value that will make a variation, p for bigger fitness function value in two individualities that will intersect in the described colony, f _C1, p _C2, p _M1, and p _M2Be predetermined constant.

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

Call completing rate in the sub-district reaches the ascending pilot channel deviant that predetermined call completing rate requires, the ascending pilot channel interference field strength of described sub-district is lower than described interference threshold value and described sub-district and is lower than in the scene of peak excursion value thresholding, determines the ascending pilot channel deviant of sub-district described in the scene of ascending pilot channel interference field strength minimum;

Be offset according to the ascending pilot channel of the described ascending pilot channel deviant of determining described sub-district.

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