CN106922028A - A kind of method of discrimination and device of wireless telecommunication system User Priority - Google Patents

A kind of method of discrimination and device of wireless telecommunication system User Priority Download PDF

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Publication number
CN106922028A
CN106922028A CN201511002873.7A CN201511002873A CN106922028A CN 106922028 A CN106922028 A CN 106922028A CN 201511002873 A CN201511002873 A CN 201511002873A CN 106922028 A CN106922028 A CN 106922028A
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China
Prior art keywords
achievement data
user
achievement
user priority
priority
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崔德冠
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ZTE Corp
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ZTE Corp
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Priority to CN201511002873.7A priority Critical patent/CN106922028A/en
Priority to PCT/CN2016/091631 priority patent/WO2017113774A1/en
Publication of CN106922028A publication Critical patent/CN106922028A/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/12—Wireless traffic scheduling
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/56—Allocation or scheduling criteria for wireless resources based on priority criteria
    • H04W72/563—Allocation or scheduling criteria for wireless resources based on priority criteria of the wireless resources
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/56—Allocation or scheduling criteria for wireless resources based on priority criteria

Abstract

The invention provides a kind of method of discrimination and device of wireless telecommunication system User Priority, wherein, methods described includes：Multiple achievement datas of influence User Priority in wireless telecommunication system database are obtained, first order achievement data collection is constituted；Treatment is analyzed to the multiple described achievement data that the first order achievement data is concentrated, second level achievement data collection is constituted；According to the second level achievement data collection, the priority level of user is differentiated.The method of discrimination and device of wireless telecommunication system User Priority provided by the present invention are based on mass mobile communication FIELD Data, with data mining technology as means, give full play to the advantage of mass data, consider many influence factors, User Priority is rationally determined, to realize improving the service efficiency of Radio Resource and the purpose of throughput of system.

Description

A kind of method of discrimination and device of wireless telecommunication system User Priority
Technical field
The present invention relates to the communications field, more particularly to a kind of method of discrimination of wireless telecommunication system User Priority And device.
Background technology
With the development of mobile communication technology, mobile communication business species is more and more, to the need of communication resources Ask and also increase rapidly, but currently available wireless communication resources are limited, under the conditions of multi-user is multiple services How rational allocation resource, improve the utilization ratio of Radio Resource, be the heat of current moving communicating field research Point and difficult point, and a key issue during wireless resource scheduling is just to determine User Priority.
The other determination of User Priority is a problem for multiple target solution, it is necessary to make while considering user With the pact of the multiple target such as the fairness of resource, Radio Resource service efficiency, throughput of system, service quality Beam.At present to the method for discrimination of User Priority, or only consider technical demand, or only in consideration business Demand, without comprehensively consider the other influence factor of User Priority, causing the determination of User Priority has One-sidedness.
The content of the invention
The invention provides a kind of method of discrimination and device of wireless telecommunication system User Priority, the purpose is to In order to user priority rank differentiates during solving the problems, such as Dynamic Resource Allocation for Multimedia.
In order to achieve the above object, The embodiment provides a kind of wireless telecommunication system User Priority Method of discrimination, including：
Multiple achievement datas of influence User Priority in wireless telecommunication system database are obtained, the first order is constituted Achievement data collection；
Treatment is analyzed to the multiple described achievement data that the first order achievement data is concentrated, second is constituted Level achievement data collection；
According to the second level achievement data collection, the priority level of user is differentiated.
Wherein, multiple achievement datas of the influence User Priority include：Channel quality instruction, user are most The biography that big transmission rate, user's history average transmission rate, user's packet loss, user's time delay, user require Defeated speed, QoS parameter mark, system allowable resource total amount, System History average throughput, use Family charging total value, user's present type of service, stock number and/or current business needed for user's current time Schedule.
It is wherein, described that treatment is analyzed to the multiple described achievement data that the first order achievement data is concentrated, Constitute the specific steps of second level achievement data collection：
The multiple described achievement data that the first order achievement data is concentrated is normalized, makes multiple The achievement data keeps unified dimension；
Calculating first achievement data concentrates each achievement data after being normalized excellent with user The dependency relation significance of first level, extracts the dependency relation significance with User Priority less than pre- If the achievement data of numerical value, the first preliminary screening achievement data collection is set up；
Factorial analysis is carried out to multiple achievement datas that the first preliminary screening achievement data is concentrated, is screened out many Predetermined condition, other achievement datas in addition to the first achievement data are reached between individual achievement data, second is set up Preliminary screening achievement data collection；
Sliding-model control is carried out to multiple achievement datas that the second preliminary screening achievement data is concentrated, is obtained The second level indicates data set.
Wherein, it is described that place is normalized to the multiple described achievement data that the first order achievement data is concentrated Reason, the specific steps for obtaining the first achievement data collection include：
By formulaEach achievement data that the first order achievement data is concentrated is returned One change is processed；
Wherein, v 'ijIt is the achievement data after being normalized, vijIt is the i-th achievement data that need to be processed,It is the average of i-th achievement data that need to be processed, σiIt is the standard deviation of i-th achievement data that need to be processed.
Wherein, it is described according to the second level achievement data collection, differentiate the specific steps of the priority level of user：
According to the second level achievement data collection, user priority rank is according to priority classified from high to low；
Estimate the probability that every class user priority rank occurs；
Go out the priority level of user according to the probabilistic determination occurred per class user priority rank.
Wherein, the specific steps for estimating the probability that every class user priority rank occurs include：
By formulaCalculate the probability that every class user priority rank occurs；
Wherein, P (Upi) it is the probability of user priority rank appearance；P (X) is the probability of given event X； P(Upi| X) it is that priority level is the probability of given event X under conditions of Upi.
Wherein, the priority level that user is gone out according to the probabilistic determination occurred per class user priority rank The step of be：
According to the probability occurred per class user priority rank, maximum preferential for user of select probability value Rank.
Embodiments of the invention additionally provide a kind of discriminating gear of wireless telecommunication system User Priority, including：
Acquisition module, the multiple index numbers for obtaining influence User Priority in wireless telecommunication system database According to composition first order achievement data collection；
Analysis and processing module, for being carried out to the multiple described achievement data that the first order achievement data is concentrated Analyzing and processing, constitutes second level achievement data collection；
Analysis and distinguishing module, for according to the second level achievement data collection, differentiating the priority level of user.
Wherein, the analysis and processing module includes：
First processing module, for being carried out to the multiple described achievement data that the first order achievement data is concentrated Normalized, makes multiple achievement datas keep unified dimension；
First computing module, concentrates each after being normalized for calculating first achievement data Achievement data and the dependency relation significance of User Priority, extract the dependency relation with User Priority Significance sets up the first preliminary screening achievement data collection less than the achievement data of default value；
Analysis module, for multiple achievement datas that the first preliminary screening achievement data is concentrated are carried out because Son analysis, to screen out and reach predetermined condition, other indexs in addition to the first achievement data between multiple achievement datas Data, set up the second preliminary screening achievement data collection；
Second processing module, for entering to multiple achievement datas that the second preliminary screening achievement data is concentrated Row sliding-model control, obtains the second level and indicates data set.
Wherein, the analysis and distinguishing module includes：
Sort module, for according to the second level achievement data collection, by user priority rank according to priority by It is high to Low to be classified；
Estimation block, for estimating the probability that every class user priority rank occurs；
Determination module, for going out the preferential of user according to the probabilistic determination occurred per class user priority rank Rank.
Such scheme of the invention has the beneficial effect that：
The method of discrimination and device of wireless telecommunication system User Priority provided by the present invention are moved with magnanimity Based on the data of the communications field, with data mining technology as means, the advantage of mass data is given full play to, it is comprehensive Close and consider many influence factors, rationally determine User Priority, to realize improving the use of Radio Resource The purpose of efficiency and throughput of system.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of the method for the invention；
Fig. 2 is the schematic flow sheet of the specific steps of the second step of the method for the invention；
Fig. 3 is the schematic flow sheet of the specific steps of the third step of the method for the invention；
Fig. 4 is the structural representation of device of the present invention.
Specific embodiment
To make the technical problem to be solved in the present invention, technical scheme and advantage clearer, below in conjunction with attached Figure and specific embodiment are described in detail.
The present invention is directed to existing problem, there is provided a kind of method of discrimination of wireless telecommunication system User Priority And device.
As shown in figure 1, The embodiment provides a kind of differentiation of wireless telecommunication system User Priority Method, including：
Step 1, obtains multiple achievement datas of influence User Priority in wireless telecommunication system database, structure Into first order achievement data collection；
Step 2, treatment is analyzed to the multiple described achievement data that the first order achievement data is concentrated, Constitute second level achievement data collection；
Step 3, according to the second level achievement data collection, differentiates the priority level of user.
Method described in the above embodiment of the present invention selects to influence first in terms of technology and business two The achievement data of User Priority, determines the object of follow-up work；Then data are carried out to the achievement data Pretreatment, for follow-up work provides complete, reliable data resource；Finally calculated using Naive Bayes Classification Method realizes the differentiation of User Priority, it is therefore intended that based on mass mobile communication FIELD Data, with data Digging technology is means, gives full play to the advantage of mass data, considers many influence factors, is closed Reason determines User Priority, to realize improving the service efficiency of Radio Resource and the purpose of throughput of system.
Wherein, multiple achievement datas of the influence User Priority include：Channel quality instruction, user are most The biography that big transmission rate, user's history average transmission rate, user's packet loss, user's time delay, user require Defeated speed, QoS parameter mark, system allowable resource total amount, System History average throughput, use Family charging total value, user's present type of service, stock number and/or current business needed for user's current time Schedule.
As shown in Fig. 2 described divided the multiple described achievement data that the first order achievement data is concentrated Analysis is processed, and constitutes the specific steps of second level achievement data collection：
Step 21, place is normalized to the multiple described achievement data that the first order achievement data is concentrated Reason, makes multiple achievement datas keep unified dimension；
Step 22, calculates first achievement data and concentrates each achievement data after being normalized With the dependency relation significance of User Priority, the dependency relation conspicuousness water with User Priority is extracted The flat achievement data less than default value, sets up the first preliminary screening achievement data collection；
Multiple achievement datas that the first preliminary screening achievement data is concentrated are carried out Factor minute by step 23 Analysis, to screen out and reach predetermined condition, other achievement datas in addition to the first achievement data between multiple achievement datas, Set up the second preliminary screening achievement data collection；
Multiple achievement datas that the second preliminary screening achievement data is concentrated are carried out discretization by step 24 Treatment, obtains the second level and indicates data set.
Method described in the above embodiment of the present invention is complete for follow-up work is provided, reliable data resource, The part such as outside data cleansing, loading, conversion, should also advise except conventional data processing including data Generalized treatment, by all achievement datas unification to identical dimension；Correlation analysis, picks out and user priority Level has the achievement data of clear-cut correlation；Linear dimensionality reduction, with less, orthogonal achievement data Instead of original multiple achievement datas；Cluster analysis, the value sliding-model control of the factor that will be obtained after dimensionality reduction Obtain the second level and indicate data set.
Wherein, it is described that place is normalized to the multiple described achievement data that the first order achievement data is concentrated Reason, the specific steps for obtaining the first achievement data collection include：
By formulaEach achievement data that the first order achievement data is concentrated is returned One change is processed；
Wherein, v 'ijIt is the achievement data after being normalized, vijIt is the i-th achievement data that need to be processed,It is the average of i-th achievement data that need to be processed, σiIt is the standard deviation of i-th achievement data that need to be processed.
The specific embodiment of the above embodiment of the present invention methods described be using correlation analysis method (such as Pearson correlation analyses) analyze each achievement data pass related to User Priority (being represented with Up) System, picks out the achievement data for having clear-cut correlation with Up, calculates dependency relation significance, P is used respectivelyiRepresent (wherein i=1,2 ..., n)；If Pi<0.05, illustrate have significantly between the index and Up Dependency relation, then retain the achievement data；Otherwise illustrate between the index and Up without significant related Relation, deletes the achievement data；If through remained after correlation analysis have m index (2≤m≤n, The situation of m≤1 is not considered), can obtain k New Set (1≤k using factor analysis<M), Respectively with representing F1,F2,…,FkRepresent；Due to the F obtained after linear dimension-reduction treatmentkIt is continuous data type, In order to reduce follow-up workload, facilitate and carry out in follow-up work scene combination to calculate its historical probabilities, this Invention is using the method for K- mean clusters respectively by F1,F2,…,FkValue carry out sliding-model control, obtain F’1,F’2,…,F’k。
As shown in figure 3, it is described according to the second level achievement data collection, differentiate the tool of the priority level of user Body step：
Step 31, according to the second level achievement data collection, by user priority rank according to priority by height to It is low to be classified；
Step 32, estimates the probability that every class user priority rank occurs；
Step 33, the priority level of user is gone out according to the probabilistic determination occurred per class user priority rank.
Method described in the above embodiment of the present invention realizes user priority using Naive Bayes Classification Algorithm The differentiation of level, first carries out User Priority classification, by User Priority classification and ordination；Then with mass data Based on count the prior probability of each priority and the probability of particular context；Finally using dividing in data mining Class method determines User Priority classification, to realize improving the service efficiency and throughput of system of Radio Resource Purpose.
Wherein, the specific steps for estimating the probability that every class user priority rank occurs include：
By formulaCalculate the probability that every class user priority rank occurs；
Wherein, P (Upi) it is the probability of user priority rank appearance；P (X) is the probability of given event X； P(Upi| X) it is that priority level is the probability of given event X under conditions of Upi.
Wherein, the priority level that user is gone out according to the probabilistic determination occurred per class user priority rank The step of be：According to the probability occurred per class user priority rank, select probability value maximum is user Priority level.
The specific embodiment of the above embodiment of the present invention methods described is first to be divided into user priority rank 9 classes a, class is a user priority grade, and first kind highest priority, the 9th class priority is minimum, Up is used respectively1, Up2..., Up9Represent；With k index F ' obtained above1,F’2,…,F’kAs point Generic attribute, P (Up are estimated using mass historical datai), P (X) and P (X | Upi), wherein i=1,2 ..., 9； P(Upi) be prior probability, that is, there is the probability that priority level is Upi；P (X) and P (X | Upi) be respectively to Determine event X probability and priority level be Upi under conditions of given event X probability；Using simplicity Bayesian algorithm calculates the class belonging to user, and the order of corresponding class is the assignable priority level of the user； Priority level is calculated respectively for UpiProbability P (Upi| X), for given priority level UpiIf having P(Upi|X)>P(Upi| X) 1≤j≤9, then i ≠ j, now corresponding UpiAs obtained by user Priority.
To make present disclosure and step become apparent from clearly, at this, each step is illustrated in detail to more than Explanation：
The index of User Priority may be influenceed in selection wireless telecommunication system, as shown in table 1.
Based on the data of (such as 1 year) over a long period of time, the average and standard of each index are calculated respectively Difference, then carry out standardization processing.Average such as channel quality indicator (CQI) is 4.5, and standard deviation is 5.0, The CQI value of j-th strip data is 2, then result of standardizing is
Can similarly standardization processing be carried out to each Criterion Attribute of each data.
Using the data after standardization processing as input, each index can be obtained using Pearson correlation analyses With the dependency relation significance of User Priority UP, as shown in table 2.
From above correlation analysis result, channel quality indicator (CQI) (v1), user's peak transfer rate (v4), user's history average transmission rate (v5), type of service (v6) and user's charging total value (v9) this 5 factors for P values be respectively less than 0.05, illustrate that these indexs and UP have significant dependency relation.
Using the data of above-mentioned 5 indexs as input, the factor is carried out to this 5 indexs using factor analysis Analysis, the cumulative proportion in ANOVA according to the factor can extract the 3 orthogonal factors more than 85% (F1,F2,F3) substitute 5 original indexs：
Using the method for K- mean clusters by F on the basis of dimensionality reduction1, F2, F3Value carry out discretization Treatment.Such as：
With above-mentioned 3 factor F1,F2,F3As categorical attribute, using Naive Bayes Classification method to differentiating Priority (classification) belonging to user, that is, obtain P (Upi| X) it is maximum when corresponding Upi, and seek P (Upi| X) most Big value be ask P (X | Upi)*P(Upi) maximum, accordingly, it would be desirable to obtain P (X | Upi) and P (Upi) value. Can be evaluated whether to obtain P (Up according to a large amount of historical datasi), such as
P(Up1)=0.042, P (Up2)=0.089, P (Up3)=0.120,
P(Up4)=0.186, P (Up5)=0.125, P (Up6)=0.076,
P(Up7)=0.142, P (Up8)=0.104, P (Up9)=0.112；
Then it is Up to calculate in given User PriorityiWhen there is event X (such as F1=1, F2=1, F3=2) When P (X | Upi) probability, such as
P((F1=1, F2=1, F3=2) | Up1)=0.056
P((F1=1, F2=1, F3=2) | Up2)=0.047
P((F1=1, F2=1, F3=2) | Up3)=0.850
P((F1=1, F2=1, F3=2) | Up4)=0.001
P((F1=1, F2=1, F3=2) | Up5)=0.010
P((F1=1, F2=1, F3=2) | Up6)=0.026
P((F1=1, F2=1, F3=2) | Up7)=0.036
P((F1=1, F2=1, F3=2) | Up8)=0.406
P((F1=1, F2=1, F3=2) | Up9)=0.056
Further, calculate P (X | Upi)*P(Upi) value,
P((F1=1, F2=1, F3=2) | Up1)*P(Up1)=0.003
P((F1=1, F2=1, F3=2) | Up2)*P(Up2)=0.004
P((F1=1, F2=1, F3=2) | Up3)*P(Up3)=0.102
P((F1=1, F2=1, F3=2) | Up4)*P(Up4)=0.001
P((F1=1, F2=1, F3=2) | Up5)*P(Up5)=0.001
P((F1=1, F2=1, F3=2) | Up6)*P(Up6)=0.002
P((F1=1, F2=1, F3=2) | Up7)*P(Up7)=0.005
P((F1=1, F2=1, F3=2) | Up8)*P(Up8)=0.042
P((F1=1, F2=1, F3=2) | Up9)*P(Up9)=0.006
As can be seen that when user class Up is 3, P (X | Upi)*P(Upi) value it is maximum, therefore, The priority level of the user is 3.
As shown in figure 4, embodiments of the invention additionally provide a kind of sentencing for wireless telecommunication system User Priority Other device, including：Acquisition module, User Priority is influenceed in wireless telecommunication system database for obtaining Multiple achievement datas, constitute first order achievement data collection；Analysis and processing module, for referring to the first order Multiple described achievement data in mark data set is analyzed treatment, constitutes second level achievement data collection；Analysis Discrimination module, for according to the second level achievement data collection, differentiating the priority level of user.
The method of discrimination and device of wireless telecommunication system User Priority provided by the present invention are moved with magnanimity Based on the data of the communications field, with data mining technology as means, the advantage of mass data is given full play to, it is comprehensive Close and consider many influence factors, rationally determine User Priority, to realize improving the use of Radio Resource The purpose of efficiency and throughput of system.
Wherein, the analysis and processing module includes：First processing module, for the first order index number It is normalized according to the multiple described achievement data concentrated, multiple achievement datas is kept unified amount Guiding principle；First computing module, concentrates each after being normalized for calculating first achievement data Achievement data and the dependency relation significance of User Priority, extract the dependency relation with User Priority Significance sets up the first preliminary screening achievement data collection less than the achievement data of default value；Analysis mould Block, for carrying out factorial analysis to multiple achievement datas that the first preliminary screening achievement data is concentrated, sieve Except predetermined condition, other achievement datas in addition to the first achievement data are reached between multiple achievement datas, set up Second preliminary screening achievement data collection；Second processing module, for the second preliminary screening achievement data Multiple achievement datas of concentration carry out sliding-model control, obtain the second level and indicate data set.
Wherein, the analysis and distinguishing module includes：Sort module, for according to the second level achievement data Collection, user priority rank is according to priority classified from high to low；Estimation block, for estimating every class The probability that user priority rank occurs；Determination module, for what is occurred according to every class user priority rank Probabilistic determination goes out the priority level of user.
Device described in the above embodiment of the present invention is included in background server, include historical data base, Data warehouse, data mining algorithm storehouse and special excavation storehouse etc., historical data base collects customer service extensively Information, Radio Resource dynamically distributes information and other information；Using data integration sorting module from history number Effective data are extracted according to storehouse be stored in data warehouse；Further, by correlation analysis, factorial analysis, poly- The steps such as alanysis, the data in data warehouse are converted to and are used directly for subsequent user priority discrimination Data and be stored in special excavation storehouse；Special excavation storehouse stores and is directly counted from historical data simultaneously The knowledge come, the prior probability of such as various radio resource allocation scenes；And data mining algorithm storehouse then stores The algorithmic tool realized, so that each functional module is called.
In base station side, mainly include User Priority discrimination module and Dynamic Resource Allocation for Multimedia module.Wherein user From user's real-time requirement information of user equipment and from special excavation storehouse since priority discrimination module Historical statistical information, using NB Algorithm as processing method, is computed exportable user as input Priority；And Dynamic Resource Allocation for Multimedia module then can differentiate that result carries out reality to dynamic resource according to User Priority When allocation schedule, it is achieved thereby that in wireless telecommunication system dynamic resource effective distribution, improve system throughput Amount and Radio Resource service efficiency.
The above is the preferred embodiment of the present invention, it is noted that for the common skill of the art For art personnel, on the premise of principle of the present invention is not departed from, some improvements and modifications can also be made, These improvements and modifications also should be regarded as protection scope of the present invention.

Claims (10)

1. a kind of method of discrimination of wireless telecommunication system User Priority, it is characterised in that including：
Multiple achievement datas of influence User Priority in wireless telecommunication system database are obtained, the first order is constituted Achievement data collection；
Treatment is analyzed to the multiple described achievement data that the first order achievement data is concentrated, second is constituted Level achievement data collection；
According to the second level achievement data collection, the priority level of user is differentiated.
2. the method for discrimination of wireless telecommunication system User Priority according to claim 1, its feature It is that multiple achievement datas of the influence User Priority include：Channel quality is indicated, user is maximum passes The transmission speed that defeated speed, user's history average transmission rate, user's packet loss, user's time delay, user require Rate, QoS parameter mark, system allowable resource total amount, System History average throughput, Yong Huji Take total value, user's present type of service, the stock number needed for user's current time and/or current business to complete Progress.
3. the method for discrimination of wireless telecommunication system User Priority according to claim 1, its feature It is, it is described that treatment, structure are analyzed to the multiple described achievement data that the first order achievement data is concentrated Into the specific steps of second level achievement data collection：
The multiple described achievement data that the first order achievement data is concentrated is normalized, makes multiple The achievement data keeps unified dimension；
Calculating first achievement data concentrates each achievement data after being normalized excellent with user The dependency relation significance of first level, extracts the dependency relation significance with User Priority less than pre- If the achievement data of numerical value, the first preliminary screening achievement data collection is set up；
Factorial analysis is carried out to multiple achievement datas that the first preliminary screening achievement data is concentrated, is screened out many Predetermined condition, other achievement datas in addition to the first achievement data are reached between individual achievement data, second is set up Preliminary screening achievement data collection；
Sliding-model control is carried out to multiple achievement datas that the second preliminary screening achievement data is concentrated, is obtained The second level indicates data set.
4. the method for discrimination of wireless telecommunication system User Priority according to claim 3, its feature It is, it is described that the multiple described achievement data that the first order achievement data is concentrated is normalized, The specific steps for obtaining the first achievement data collection include：
By formulaEach achievement data that the first order achievement data is concentrated is returned One change is processed；
Wherein, v 'ijIt is the achievement data after being normalized, vijIt is the i-th achievement data that need to be processed,It is the average of i-th achievement data that need to be processed, σiIt is the standard deviation of i-th achievement data that need to be processed.
5. the method for discrimination of wireless telecommunication system User Priority according to claim 1, its feature It is, it is described according to the second level achievement data collection, differentiate the specific steps of the priority level of user：
According to the second level achievement data collection, user priority rank is according to priority classified from high to low；
Estimate the probability that every class user priority rank occurs；
Go out the priority level of user according to the probabilistic determination occurred per class user priority rank.
6. the method for discrimination of wireless telecommunication system User Priority according to claim 5, its feature It is that the specific steps for estimating the probability that every class user priority rank occurs include：
By formulaCalculate the probability that every class user priority rank occurs；
Wherein, P (Upi) it is the probability of user priority rank appearance；P (X) is the probability of given event X； P(Upi| X) it is that priority level is the probability of given event X under conditions of Upi.
7. the method for discrimination of wireless telecommunication system User Priority according to claim 6, its feature It is, the step of the priority level for going out user according to the probabilistic determination occurred per class user priority rank Suddenly it is：
According to the probability occurred per class user priority rank, maximum preferential for user of select probability value Rank.
8. a kind of discriminating gear of wireless telecommunication system User Priority, it is characterised in that including：
Acquisition module, the multiple index numbers for obtaining influence User Priority in wireless telecommunication system database According to composition first order achievement data collection；
Analysis and processing module, for being carried out to the multiple described achievement data that the first order achievement data is concentrated Analyzing and processing, constitutes second level achievement data collection；
Analysis and distinguishing module, for according to the second level achievement data collection, differentiating the priority level of user.
9. the discriminating gear of wireless telecommunication system User Priority according to claim 8, its feature It is that the analysis and processing module includes：
First processing module, for being carried out to the multiple described achievement data that the first order achievement data is concentrated Normalized, makes multiple achievement datas keep unified dimension；
First computing module, concentrates each after being normalized for calculating first achievement data Achievement data and the dependency relation significance of User Priority, extract the dependency relation with User Priority Significance sets up the first preliminary screening achievement data collection less than the achievement data of default value；
Analysis module, for multiple achievement datas that the first preliminary screening achievement data is concentrated are carried out because Son analysis, to screen out and reach predetermined condition, other indexs in addition to the first achievement data between multiple achievement datas Data, set up the second preliminary screening achievement data collection；
Second processing module, for entering to multiple achievement datas that the second preliminary screening achievement data is concentrated Row sliding-model control, obtains the second level and indicates data set.
10. the discriminating gear of wireless telecommunication system User Priority according to claim 8, its feature It is that the analysis and distinguishing module includes：
Sort module, for according to the second level achievement data collection, by user priority rank according to priority by It is high to Low to be classified；
Estimation block, for estimating the probability that every class user priority rank occurs；
Determination module, for going out the preferential of user according to the probabilistic determination occurred per class user priority rank Rank.
CN201511002873.7A 2015-12-28 2015-12-28 A kind of method of discrimination and device of wireless telecommunication system User Priority Pending CN106922028A (en)

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CN108184270B (en) * 2018-01-29 2020-07-17 京信通信系统（中国）有限公司 Resource scheduling method and system based on TDMA system
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