CN102833775B

CN102833775B - A kind of method and apparatus carrying out system-level off-line test

Info

Publication number: CN102833775B
Application number: CN201210320757.XA
Authority: CN
Inventors: 刘蓉; 赵瑾波; 寇会如
Original assignee: China Academy of Telecommunications Technology CATT
Current assignee: China Academy of Telecommunications Technology CATT; Datang Mobile Communications Equipment Co Ltd
Priority date: 2012-08-31
Filing date: 2012-08-31
Publication date: 2015-09-02
Anticipated expiration: 2032-08-31
Also published as: CN102833775A

Abstract

The embodiment of the present invention relates to wireless communication technology field, in particular to a kind of method and apparatus carrying out system-level off-line test, can not more close to the problem of the performance of real verification technique scheme in real network in order to solve the mode such as system emulation, the network planning existed in prior art.The method of the embodiment of the present invention comprises: according to the type of data message and the corresponding relation of granularity, determines the granularity that this data message is corresponding, and the data message of the type is divided into N number of subdata base; The subdata base comprising data message corresponding to the type that needs to carry out system-level off-line test is selected from multiple subdata bases that the data message of the type is corresponding; The data message selecting the type that needs to carry out system-level off-line test corresponding from the subdata base selected carries out system-level off-line test.Adopt the method for the embodiment of the present invention can the measurement of pseudo-terminal really, more close to the performance of real verification technique scheme in real network.

Description

A kind of method and apparatus carrying out system-level off-line test

Technical field

The present invention relates to wireless communication technology field, particularly a kind of method and apparatus carrying out system-level off-line test.

Background technology

Current system integration project, the network planning etc. are on the basis using classical model (source traffic modeling, subscriber equipment mobility model, channel model etc.), system-level assessment is carried out for just fixed purpose of appraisals, such as various different RRM (Radio Resource Management, RRM) algorithm, MRO (Mobility Robustness Optimization, mobile robustness is optimized), the system-level assessment of MLB (Mobility LoadBalancing, mobility load balance) technical scheme etc.

For the system integration project of MRO technical scheme, namely current system integration project method is only carry out analysis and assessment for the different value configurations of handoff parameter, finally only can provide the impact of parameters on above-mentioned two mobility network problem, and then some methods of dealing with problems are proposed, namely the principle of handoff parameter is adjusted, such as, TimeToTrigger (TTT, time triggered) the different values configuration of parameter directly affects switching time, switching action can be made to shift to an earlier date or postpone, occurring the network problem such as switching, switching too early late.

But due to MRO technology, each assessment all needs long statistics collection, finally just by system-level assessment repeatedly, analyze the impact of this parameter on performance index such as handover success probability, switching frequency, subscriber equipment cutting off rates.Classical modeling is adopted to carry out system integration project only relatively effective in the scheme quality contrast carrying out each company, manufacturer, but, due to still more deviation can be there is with practical application scene, so well real network can not be instructed.

In sum, use the mode such as system emulation, the network planning can there is deviation with real network scene at present, can not more close to the performance of real verification technique scheme in real network.

Summary of the invention

A kind of method and apparatus carrying out system-level off-line test that the embodiment of the present invention provides, deviation can be there is with real network scene in order to solve the mode such as use system emulation, the network planning existed in prior art, can not more close to the problem of the performance of real verification technique scheme in real network.

A kind of method of carrying out system-level off-line test that the embodiment of the present invention provides, comprising:

Obtain the data message in real network;

For the data message of a type, according to the type of data message and the corresponding relation of granularity, determine the granularity that this data message is corresponding, and according to the granularity determined, the data message of the type is divided into N number of subdata base, wherein N is positive integer;

Carry out the type of the data message of system-level off-line test and corresponding granularity as required, from multiple subdata bases that the data message of the type is corresponding, select to comprise the subdata base of data message corresponding to the type that needs to carry out system-level off-line test;

The data message selecting the type that needs to carry out system-level off-line test corresponding from the subdata base selected carries out system-level off-line test.

A kind of equipment carrying out system-level off-line test that the embodiment of the present invention provides, comprising:

Acquisition module, for obtaining the data message in real network;

Set up module, for the data message for a type, according to the type of data message and the corresponding relation of granularity, determine the granularity that this data message is corresponding, and according to the granularity determined, the data message of the type is divided into N number of subdata base, wherein N is positive integer;

Select module, for carrying out the type of the data message of system-level off-line test and corresponding granularity as required, from multiple subdata bases that the data message of the type is corresponding, select to comprise the subdata base of data message corresponding to the type that needs to carry out system-level off-line test;

Test module, carries out system-level off-line test for the data message selecting the type that needs to carry out system-level off-line test corresponding from the subdata base selected.

Owing to carrying out in system-level off-line test process, the various data of collecting in real network are utilized to test, thus more press close to real network environment, more close to the performance of real verification technique scheme in real network, and can the measurement of pseudo-terminal really, evade some modeling errors in existing system level evaluation process, the system-level assessment of various technical scheme is provided more accurately, reduce the follow-up test job for technical scheme of real network.

Accompanying drawing explanation

Fig. 1 is the method flow schematic diagram that the embodiment of the present invention carries out system-level off-line test;

Fig. 2 is embodiment of the present invention type is dimensional antenna gain, and data message is the subdata base division methods schematic flow sheet of antenna horizontal gain value;

The subdata base division methods schematic flow sheet of Fig. 3 to be the first type of the embodiment of the present invention be subscriber equipment motion track;

The subdata base division methods schematic flow sheet of Fig. 4 to be embodiment of the present invention the second type be subscriber equipment motion track;

Fig. 5 is embodiment of the present invention type is subscriber equipment metrical information, and data message is the subdata base division methods schematic flow sheet of RSRP;

Fig. 6 is embodiment of the present invention type is subscriber equipment received power, and data message is the subdata base division methods schematic flow sheet of subscriber equipment uplink received power value;

Fig. 7 is embodiment of the present invention type is that user device channel detects gain, and data message is the subdata base division methods schematic flow sheet that subscriber equipment up channel detects yield value;

Fig. 8 is embodiment of the present invention type is the crucial signaling of subscriber equipment, and data message is the subdata base division methods schematic flow sheet of critical process information;

Fig. 9 is embodiment of the present invention type is the crucial signaling of subscriber equipment, and data message is the subdata base division methods schematic flow sheet of the crucial signaling in each critical process;

Figure 10 is the device structure schematic diagram that the embodiment of the present invention carries out system-level off-line test.

Embodiment

The embodiment of the present invention is for the data message of a type, according to the type of data message and the corresponding relation of granularity, determine the granularity that this data message is corresponding, and according to the granularity determined, the data message of the type is divided into N number of subdata base, wherein N is positive integer; Carry out the type of the data message of system-level off-line test and corresponding granularity as required, from multiple subdata bases that the data message of the type is corresponding, select to comprise the subdata base of data message corresponding to the type that needs to carry out system-level off-line test; The data message selecting the type that needs to carry out system-level off-line test corresponding from the subdata base selected carries out system-level off-line test.Owing to carrying out in system-level off-line test process, the various data of collecting in real network are utilized to test, thus more press close to real network environment, more close to the performance of real verification technique scheme in real network, and can the measurement of pseudo-terminal really, evade some modeling errors in existing system level evaluation process, the system-level assessment of various technical scheme is provided more accurately, reduce the follow-up test job for technical scheme of real network; Further can also accurate analysis addressing network problems, propose effective solution by checking, be conducive to reducing that network test consumes is artificial.

Below in conjunction with Figure of description, the embodiment of the present invention is described in further detail.

As shown in Figure 1, the method that the embodiment of the present invention carries out system-level off-line test comprises the following steps:

Step 101, the data message obtained in real network;

Step 102, data message for a type, according to the type of data message and the corresponding relation of granularity, determine the granularity that this data message is corresponding, and according to the granularity determined, the data message of the type is divided into N number of subdata base, wherein N is positive integer;

Step 103, carry out the type of the data message of system-level off-line test and the granularity of correspondence as required, from multiple subdata bases that the data message of the type is corresponding, select to comprise the subdata base of data message corresponding to the type that needs to carry out system-level off-line test;

Step 104, the data message selecting the type that needs to carry out system-level off-line test corresponding from the subdata base selected carry out system-level off-line test.

Preferably, in step 102, determine the acquisition numerical value that each data message of the type is corresponding, and be multiple data interval according to the granularity division of the correspondence of the type; Data message corresponding for the acquisition numerical value belonging to identical numerical intervals is divided in same subdata base.

Such as, the acquisition numerical value that each data message of the type is corresponding is 2,5 and 6, and the granularity of the correspondence of the type is 3, then multiple data interval is 1 ~ 3,4 ~ 6,7 ~ 9..... by that analogy; Then the data message being 2 correspondences by acquisition numerical value is divided in same subdata base, is divided in same subdata base by the data message of 5 and 6 correspondences.

Preferably, in step 103, determine the acquisition numerical value needing the type of carrying out system-level off-line test, the numerical intervals corresponding according to each subdata base of the type, determine to comprise the numerical intervals of the acquisition numerical value needing the type of carrying out system-level off-line test, and select the subdata base that the numerical intervals determined is corresponding.

Such as, needing to obtain numerical value is that the data message of 2 correspondences carries out system-level off-line test, then search and obtain the subdata base that numerical value is 2 correspondences, and finding from this subdata base and obtaining numerical value is that the data message of 2 correspondences carries out system-level off-line test.

Preferably, according to the type of following manner determination data message and the corresponding relation of granularity:

For the data message of a type, determine the acquisition numerical value that each data message of the type is corresponding;

Determine the spacing between each adjacent acquisition numerical value, and by the product of minimum spacing in the spacing determined with the multiple preset, as the granularity that the type is corresponding.

Such as, the acquisition numerical value that each data message is corresponding has 3,5,1,7 and 8 respectively, then determine the spacing between each adjacent acquisition numerical value, namely after from small to large or from big to small arrangement, 1, the spacing of 3,5,7 and 8 is 2,2,2 and 1 respectively, then in spacing, minimum spacing is 1, is multiplied by default multiple as granularity corresponding to the type using 1.Wherein, the multiple minimum value preset is 1, and namely granularity is minimum is minimum spacing in spacing; Maximum needs to ensure that the granularity determined is not more than the maximum spacing in spacing.

Preferably, N is determined according to following manner:

Determine the spacing between each adjacent acquisition numerical value, and by maximum spacing in the spacing determined divided by granularity corresponding to the type, as N after the value obtained rounds (namely round up or round downwards).

Such as, the acquisition numerical value that each data message is corresponding has 3,5,1,7 and 8 respectively, then determine the spacing between each adjacent acquisition numerical value, namely after from small to large or from big to small arrangement, 1, the spacing of 3,5,7 and 8 is 2,2 and 1 respectively, then by 2 divided by granularity corresponding to the type, the value obtained rounds rear as N.

Preferably, for the data message of a type be the data message of a type for same subscriber equipment.

If type is dimensional antenna gain, then data message comprises antenna horizontal gain value and antennas orthogonal yield value, and acquisition numerical value corresponding to antenna horizontal gain value is antenna level angle, and the acquisition numerical value that antennas orthogonal yield value is corresponding is antennas orthogonal angle;

If type is subscriber equipment motion track, then data message is position information of user equipment, and obtaining numerical value is the time;

If type is subscriber equipment metrical information, then data message comprises RSRQ (Reference SignalReceived Quality, Reference Signal Received Quality) value and RSRP (Reference signal receivedpower, Reference Signal Received Power) value, the acquisition numerical value of RSRQ value and RSRQ value correspondence is the distance between subscriber equipment and base station;

If type is subscriber equipment received power, then data message comprises up (transmission direction from subscriber equipment to the base station) received power value of subscriber equipment and user's equipment downward (transmission direction from base station to subscriber equipment) received power value, and subscriber equipment uplink received power value and acquisition numerical value corresponding to user's equipment downward received power value are the distances between subscriber equipment and base station;

If type is user device channel detect gain, then data message comprises subscriber equipment up channel and detects yield value and user's equipment downward Channel Detection yield value, and it is distance between subscriber equipment and base station that subscriber equipment up channel detects yield value and acquisition numerical value corresponding to user's equipment downward Channel Detection yield value;

If type is crucial signaling, then data message comprises transmission delay and the transmission success probability of the crucial signaling of each bar in the initiation probability of critical process and each critical process, and the transmission delay of the crucial signaling of each bar in the initiation probability of critical process and each critical process and acquisition numerical value corresponding to transmission success probability are the distances between subscriber equipment and base station.

Base station in distance between above-mentioned subscriber equipment and base station can be the home base station of subscriber equipment according to concrete needs, can also be the network equipment that the neighbor base station of subscriber equipment, trunking etc. have reception and measuring ability.

Selecting the base station of resident community after such as subscriber equipment start, is then the home base station of subscriber equipment;

The base station of all communities in the Neighboring Cell List obtained after the resident home base station of such as subscriber equipment is then the neighbor base station of subscriber equipment.

Preferably, before step 101, draw according to actual sets network planning, the longitude and latitude geography information that the map in region and base station site can also be distributed, and the three-dimensional gain information of antenna for base station imports to system integration project platform or the network planning, Optimization Software or instrument, when initialization, in this, as network topology information, so that can Reality simulation website distribution more fully and channel circumstance.

Preferably, when the real network data that categorised collection is arrived, multiple different sorting technique can be considered based on purpose of appraisals difference, such as classify according to heterogeneous networks scene, the Data classification collected as different scenes such as suburb, urban district, hot zones (dense urban), indoor or high speeds becomes a set; Such as classify according to heterogeneous networks KPI (Key Performance Indicator, Key Performance Indicator) the pointer type degree of correlation, the various network datas as relevant to covering or capacity etc. are categorized into one and gather.Ensure that when classifying criteria for classification is mated with purpose of appraisals, the kind of simultaneously classifying will be tried one's best fully with complete as far as possible.

Be introduced respectively for different types below.

Suppose that sorted network data comprises following a few class:

1, base station dimensional antenna gain, specifically comprises the antennas orthogonal gain that on antenna horizontal gain corresponding to varying level azimuth on horizontal plane and vertical plane, different vertical the angle of pitch is corresponding.

2, subscriber equipment is at the geographical location information of different time sections; specifically comprise subscriber equipment ID and (consider protection subscriber equipment privacy; indication ID is only the geographical location information in order to distinguish different user devices herein, for building subscriber equipment mobile trajectory data storehouse), subscriber equipment latitude and longitude information, the Data Collection moment.

3, subscriber equipment is in RSRP and the RSRQ information of diverse geographic location, specifically comprises the RSRP measurement result of subscriber equipment, the RSRQ measurement result of subscriber equipment, subscriber equipment latitude and longitude information.

4, subscriber equipment is in the uplink and downlink received power information of diverse geographic location, specifically comprises the uplink received power of subscriber equipment, downlink reception power, subscriber equipment latitude and longitude information.

5, subscriber equipment detects gain information at the uplink and downlink channel of diverse geographic location, and the up channel specifically comprising subscriber equipment detects gain, down channel detects gain, subscriber equipment latitude and longitude information.

6, transmission delay, the transmission success probabilistic information of each bar signaling in the initiation probability of subscriber equipment various crucial signaling procedure (such as access procedure, handoff procedure, RRC reconfiguration course etc.) on diverse geographic location, each crucial signaling procedure.

Situation one, type are dimensional antenna gains, then data message comprises antenna horizontal gain value and antennas orthogonal yield value, and acquisition numerical value corresponding to antenna horizontal gain value is antenna level angle, and the acquisition numerical value that antennas orthogonal yield value is corresponding is antennas orthogonal angle.

When dividing subdata base, first respectively vertical angle of pitch described point corresponding to antenna gain horizontal azimuth corresponding for the antenna horizontal gain value collected and antennas orthogonal yield value being drawn two straight lines, determining that on straight line, between 2, largest interval is S1 and S2.The X choosing minimum interval between 2 on two straight lines, can value 1,2 doubly for granularity T1 and T2, X are positive number ....After determining granularity T1 and T2, subdata base number N1=S1/T1 (upwards or downwards rounding) and N2=S2/T2 (upwards or downwards rounding) can be determined.Then, the antenna horizontal gain of all collections and vertical gain information are processed respectively, respectively from smallest record point on two straight lines, with T1, T2 for interval, the data collected in same granularity are recorded storage separately, and record the number of this partial data, set up two subdata bases, be numbered i1=0 and i2=0 respectively; Successively with T1 or T2 for subdata base is set up at interval, numbering adds one and increases progressively, namely i1=i1+1 and i2=i2+1 is numbered, until set up N1 and N2 subdata base (i1=N1 and i2=N2), the subdata base composition antenna horizontal gain subdata base of N1 granularity the most at last, by the subdata base of N2 granularity composition antennas orthogonal gain subdata base, two numerical data bases are built into again dimensional antenna gain data storehouse, base station.Such as: the antenna gain horizontal azimuth that in the data message of sampling, antenna horizontal gain value is corresponding is 1 degree, 5 degree, 6 degree, 8 degree, determine that granularity is 2, then the antenna horizontal gain value of 1 degree of correspondence is divided in a subdata base, the antenna horizontal gain value of 5 degree and 6 degree correspondences is divided in a subdata base, the antenna horizontal gain value of 8 degree of correspondences is divided in a subdata base, instructs by that analogy till establishing N1 subdata base.Detailed process can see Fig. 2.

It should be noted that, above-mentioned X can arrange same value for antenna horizontal gain value and antennas orthogonal yield value, also can arrange different values respectively, specifically as required or can depend on concrete data message of sampling.

As shown in Figure 2, embodiment of the present invention type is dimensional antenna gain, and the subdata base division methods that data message is antenna horizontal gain value comprises the following steps:

Step 201, determine the straight line of the antenna gain horizontal azimuth composition that the antenna horizontal gain value collected is corresponding, determine that on straight line, between 2, largest interval is S1;

Step 202, the X1 choosing minimum interval between 2 on two straight lines are doubly granularity T1;

Step 203, determine subdata base number N1=S1/T1 (upwards or downwards rounding);

Step 204, judge N1 be whether 0 (step 203 calculate N1 use round downwards) or be 1 (step 203 calculate N1 use round up), if so, then perform step 205; Otherwise, perform step 206;

Wherein in accompanying drawing to judge that N1 0 is described, judge N1 be whether 1 with judge that whether N1 is 0 similar, no longer repeat picture.

Step 205, determine that granularity T1 is excessive, and adjust X1, the X1 before making the X1 after adjustment be less than adjustment, and return step 202;

Step 206, with granularity T1, from the minimum place of horizontal azimuth corresponding to antenna horizontal gain value of record, successively all horizontal azimuths are marked off N1 interval;

Step 207, antenna horizontal gain value corresponding for the horizontal azimuth in the interval of the i-th 1+1 carried out record and store, set up subdata base, and using i1 as this database accession number, then i1 is increased a step value (such as 1), wherein i1 initial value is 0;

Step 208, judge that whether increase the i1 after step value equals N1, if so, then performs step 209; Otherwise, return step 207;

Step 209, determine that antenna horizontal gain Value Data storehouse has been set up.

Wherein, data message is that the flow process of antennas orthogonal yield value and Fig. 2 are similar, does not repeat them here.

For situation one, dimensional antenna gain data storehouse, base station, for the dimensional antenna gain model formula of alternative original system level assessment after importing, namely need not calculate, directly obtain current antenna horizontal gain and vertical gain information by database.In running, when needs use antenna gain, first obtain subscriber equipment to the horizontal azimuth of base station and the vertical angle of pitch, then respectively according to database granularity T1 and T2 quantification gradation, namely obtain numbering i1 and the i2 of respective antenna horizontal gain subdata base and antennas orthogonal gain subdata base respectively, then in corresponding subdata base, random selecting numerical value is applied to antenna horizontal gain and the vertical gain of current needs respectively.

Illustrate, suppose that granularity T1 and the T2 of antenna horizontal gain subdata base and antennas orthogonal gain subdata base are respectively 5 and 7, current horizontal azimuth is respectively 68 and 33 with the vertical angle of pitch, antenna horizontal gain subdata base corresponding after then quantizing respectively and the numbering i1 of antennas orthogonal gain subdata base and i2 are that (round up is 14 to i1=68/5, round downwards is 13, specifically round use when direction is determined with antenna horizontal gain subdata base number N1 to round direction identical), (round up is 5 to i2=33/7, round downwards is 4, specifically round use when direction is determined with antennas orthogonal gain subdata base number N2 to round direction identical), after determining subdata base numbering, the data message that the type that the subdata base directly searching this numbering correspondence just can obtain needing to carry out system-level off-line test is corresponding, then the data message selecting the type that needs to carry out system-level off-line test corresponding carries out system-level off-line test.

Situation two, type are subscriber equipment motion tracks, then data message is position information of user equipment, and obtaining numerical value is the time.

That subscriber equipment motion track has two kinds of dividing mode for type.

Mode one, divide subdata base time, first collection time described point corresponding for the position information of user equipment collected is drawn straight line, determines that on straight line, between 2, largest interval is S.Consider that the X choosing minimum interval between 2 on straight line is doubly for time granularity T, X are positive number, can value 1,2 ....After determining time granularity T, subdata base number N=S/T (upwards or downwards rounding) can be determined.Then, the position information of user equipment of all collections is processed, from smallest record time point on straight line, take T as interval, the data collected are recorded storage separately, and record the number of this partial data in granularity at the same time, set up a subdata base, be numbered i=0; Be that subdata base is set up at interval successively with T, numbering adds one and increases progressively, and is namely numbered i=i+1, until set up N number of subdata base (i==N, namely i equals N), and the subdata base composition subscriber equipment mobile trajectory data storehouse of N number of time granularity the most at last.Detailed process can see Fig. 3.

As shown in Figure 3, the first type of the embodiment of the present invention is that the subdata base division methods of subscriber equipment motion track comprises the following steps:

The straight line that step 301, the time point determining to collect position information of user equipment form, determines that on straight line, point-to-point transmission maximum spacing is S;

Step 302, determine real network collect the granularity T of data processing be the X of point-to-point transmission minimum spacing on straight line doubly;

Step 303, determine need set up subdata base number N be S/T (round up or round downwards);

Step 304, judge N be whether 0 (step 303 calculate N use round downwards) or be 1 (step 303 calculate N use round up), if so, then perform step 305; Otherwise, perform step 306;

Wherein in accompanying drawing to judge that N 0 is described, judge N be whether 1 with judge that whether N is 0 similar, no longer repeat picture.

Step 305, determine that granularity T is excessive, and adjust X, the X before making the X after adjustment be less than adjustment, and return step 302;

Step 306, with granularity T for interval, from the time point of recording user device location information is located the earliest, successively point all writing times is marked off N number of interval;

Step 307, position information of user equipment corresponding for the time point in the interval of i-th+1 carried out record and store, set up subdata base, and using i as this database accession number, then i is increased a step value (such as 1), wherein i initial value is 0;

Step 308, judge that whether increase the i after step value equals N, if so, then performs step 309; Otherwise, return step 307;

Step 309, determine that subscriber equipment mobile trajectory data storehouse has been set up.

For mode one, in running, when subscriber equipment longitude and latitude positional information determined by needs, first obtain current run time, then according to database granularity T quantification gradation, namely obtain the numbering i of relative user equipment motion track subdata base, then in corresponding subdata base, random selecting numerical value is applied to the subscriber equipment longitude and latitude positional information of current needs.

Mode two, with different UE ID finishing collecting data building databases.First the positional information of the same UE ID collected is made a distinction.Suppose to collect the different UE ID having Y in data, then can distinguish Y group data set and close.Then, employing mode a pair every group data set closes and processes, set up Y subdata base, UE ID corresponding different respectively, and each subdata base comprises again the subdata base of N after processing according to mode one, wherein N can be different for different subdata bases, and concrete value depends on the calculating of mode one for subdata base N, i.e. the granularity of each subdata base and maximum spacing.Finally, according to UE ID order from small to large to Y sub-database sort (sort method is unique, is only conveniently number) herein, number and increase progressively 1 successively by 0, determine Y subscriber equipment motion track subdata base.Finally set up subscriber equipment mobile trajectory data storehouse.Detailed process can see Fig. 4.

It should be noted that, S, X, T, N that aforesaid way two is determined according to mode one can arrange same value for Y subdata base, also can arrange different values respectively, specifically as required or can depend on concrete data message of sampling.

As shown in Figure 4, embodiment of the present invention the second type is that the subdata base division methods of subscriber equipment motion track comprises the following steps:

Step 401, determine subdata base number Y, be the number of collecting different UEs ID in data;

Step 402, the data that identical UE ID collects are divided into one group, and (also can be randomly orderedly numbered from small to large according to UE ID.As long as ensure that numbering adds a step value successively sequentially from 0.) data acquisition system is sorted;

Step 403, set up subdata base, note j=0;

Step 404, jth+1 group data set of grouping in step 402 closed process, determine to collect in this data acquisition system the straight line of the time point composition of position information of user equipment, determine that on straight line, point-to-point transmission maximum spacing is S;

Step 405, determine real network collect the granularity T of data processing be the X of point-to-point transmission minimum spacing on straight line doubly;

Step 406, determine need set up subdata base number N be S/T (round up or round downwards);

Step 407, judge N be whether 0 (step 406 calculate N use round downwards) or be 1 (step 406 calculate N use round up), if so, then perform step 408; Otherwise, perform step 409;

Step 408, determine that granularity T is excessive, and adjust X, the X before making the X after adjustment be less than adjustment, and return step 405;

Step 409, with granularity T for interval, from the time point of recording user device location information is located the earliest, successively the time point of all records is marked off N number of interval;

Step 410, position information of user equipment corresponding for the time point in the interval of i-th+1 carried out record and store, set up subdata base, and using i as this database accession number, then i is increased a step value (such as 1), wherein i initial value is 0;

Step 411, judge that whether increase the i after step value equals N, if so, then performs step 412; Otherwise, return step 410;

Step 412, j is increased a step value (such as 1) after, judge that whether increase the j after step value equals Y, if so, then performs step 413; Otherwise, return step 404;

Step 413, determine that subscriber equipment mobile trajectory data storehouse has been set up.

For mode two, in running, when subscriber equipment longitude and latitude positional information determined by needs, first random selecting one in Y subscriber equipment motion track subdata base, numbering j, then current run time is obtained, according to database granularity T quantification gradation, namely obtain the numbering i of relative user equipment positional information subdata base in subscriber equipment motion track subdata base, then in corresponding subdata base, random selecting numerical value is applied to the subscriber equipment longitude and latitude positional information of current needs.

Situation three, type are subscriber equipment metrical informations, then data message comprises RSRQ value and RSRP value, and the acquisition numerical value of RSRQ value and RSRQ value correspondence is the distance between subscriber equipment and base station.

When dividing subdata base, first the distance between the subscriber equipment of the RSRQ value collected or RSRP value correspondence and base station being formed straight line, determining that on straight line, between 2, ultimate range is S.Choose the X at minimum air line distance interval between 2 on the straight line after described point doubly for granularity L, X are positive number, value 1,2 ....Determine subdata base number N=S/L (upwards or downwards rounding).Then, RSRP or the RSRQ information of the subscriber equipment of all collections is processed respectively, from lower left point (longitude and latitude smallest point) most on straight line, take L as interval, the all data separation RSRP collected in same granularity with this air line distance and RSRQ are stored separately, and record this partial data and divide other number, set up two subdata bases (RSRP and RSRQ), be numbered i=0 respectively; Successively with granularity L for interval stored record data, set up RSRP and RSRQ subdata base respectively, numbering adds one and increases progressively, namely i=i+1 is numbered, until set up N number of subdata base (i==N, namely i equals N), the RSRP subdata base of N number of granularity and RSRQ subdata base composition subscriber equipment metrical information database the most at last.Detailed process can see Fig. 5.

It should be noted that, above-mentioned S, X, L, N can arrange same value for RSRQ and RSRP, also can arrange different values respectively, specifically as required or can depend on concrete data message of sampling.

As shown in Figure 5, for embodiment of the present invention type is subscriber equipment metrical information, and the subdata base division methods that data message is RSRP comprises the following steps:

Step 501, determine the straight line that is made up of the distance of collecting between the subscriber equipment of RSRP and base station, determine that on straight line, between 2, ultimate range is S;

Step 502, determine real network collect the granularity L of data processing be the X of minimum two-point defined line distance on straight line doubly;

Step 503, determine need set up subdata base number N be S/L (round up or round downwards);

Step 504, judge N be whether 0 (step 503 calculate N use round downwards) or be 1 (step 503 calculate N use round up), if so, then perform step 505; Otherwise, perform step 506;

Step 505, determine that granularity L is excessive, and adjust X, the X before making the X after adjustment be less than adjustment, and return step 502;

Step 506, with granularity L for interval, from the minimum place of distance between the record subscriber equipment of RSRP and base station, according to air line distance, the distance between all subscriber equipmenies and base station is marked off N number of interval successively;

Step 507, the RSRP of all subscriber equipmenies corresponding for the distance between the subscriber equipment in the i-th+1 interval and base station is recorded storage respectively, set up subdata base, and using i as this database accession number, then i is increased a step value (such as 1), wherein i initial value is 0;

Step 508, judge that whether increase the i after step value equals N, if so, then performs step 509; Otherwise, return step 507;

Step 509, determine that RSRP Database completes.

Wherein, data message is that the flow process of RSRQ and Fig. 5 are similar, does not repeat them here.

For situation three, subscriber equipment metrical information database, for the subdata base that RSRP and RSRQ sets up respectively, for the measuring process of subscriber equipment RSRP and RSRQ of alternative original system level assessment after importing, namely need not calculate, directly be obtained RSRP or the RSRQ information of needs by database.In running, with the distance reading database information between subscriber equipment and base station,

Illustrate, the such as t1 moment, need the metrical information of RSRP or RSRQ obtaining subscriber equipment, first determine that the distance between subscriber equipment and base station is S, then according to database granularity L quantification gradation, namely obtain the numbering i of relative user equipment RSRP or RSRQ subdata base, then in corresponding subdata base random selecting RSRP or RSRQ numerical applications in the subscriber equipment metrical information of current needs.The granularity L that sets up in tentation data storehouse is 1 meter, whole database comprises 1 meter, 2 meters, 3 meters, ..., different subdata bases, RSRP or the RSRQ information that different distance between relative user equipment and base station is corresponding, if when S is 3.7 meters, round downwards according to database granularity L quantification gradation or round up, then subdata base numbering is RSRP or the RSRQ information of random selecting record in the subdata base of 3 or 4 correspondences in a database, as the most recent measurements that subscriber equipment is current, by that analogy.

Situation four, type are subscriber equipment received powers, then data message comprises subscriber equipment uplink received power value and user's equipment downward received power value, and subscriber equipment uplink received power value and acquisition numerical value corresponding to user's equipment downward received power value are the distances between subscriber equipment and base station.

When dividing subdata base, first by the distance composition straight line between subscriber equipment corresponding for the subscriber equipment received power collected and base station, determine that on straight line, between 2, ultimate range is S.Choose the X at minimum range interval between 2 on the straight line after described point doubly for granularity L, X are positive number, value 1,2 ....Determine subdata base number N=S/L (upwards or downwards rounding).Then, the subscriber equipment uplink and downlink received power information of all collections is processed respectively, from lower left point (longitude and latitude smallest point) most on straight line, take L as interval, store collecting all uplink and downlink received power data with this air line distance in same granularity separately, and record the number of this partial data respectively, set up two subdata bases (uplink received power and downlink reception power), be numbered i=0 respectively; Successively with granularity L for interval stored record data, set up uplink received power and downlink reception power subdata base, numbering adds one and increases progressively, namely i=i+1 is numbered, until set up N number of subdata base (i==N), the uplink received power of N number of granularity and downlink reception power subdata base composition subscriber equipment received power database the most at last.Detailed process can see Fig. 6.

It should be noted that, above-mentioned S, X, L, N can arrange same value for subscriber equipment uplink received power value and user's equipment downward received power value, also can different values be set respectively, specifically concrete data message of sampling as required or can be depended on.

As shown in Figure 6, embodiment of the present invention type is subscriber equipment received power, and the method that the subdata base that data message is subscriber equipment uplink received power value divides comprises the following steps:

Step 601, determine the straight line that is made up of the distance of collecting between the subscriber equipment of subscriber equipment uplink received power value and base station, determine that on straight line, between 2, ultimate range is S;

Step 602, determine real network collect the granularity L of data processing be the X of minimum two-point defined line distance on straight line doubly;

Step 603, determine need set up subdata base number N be S/L (round up or round downwards);

Step 604, judge N be whether 0 (step 603 calculate N use round downwards) or be 1 (step 603 calculate N use round up), if so, then perform step 605; Otherwise, perform step 606;

Step 605, determine that granularity L is excessive, and adjust X, the X before making the X after adjustment be less than adjustment, and return step 602;

Step 606, with granularity L for interval, from the minimum place of distance between the subscriber equipment and base station of recording user equipment uplink received power value, according to air line distance, the distance between all subscriber equipmenies and base station is marked off N number of interval successively;

Step 607, all subscriber equipment uplink received power values corresponding for the distance between the subscriber equipment in the i-th+1 interval and base station are recorded storage respectively, set up subdata base, and using i as this database accession number, then i is increased a step value (such as 1), wherein i initial value is 0;

Step 608, judge that whether increase the i after step value equals N, if so, then performs step 609; Otherwise, return step 607;

Step 609, determine that subscriber equipment uplink received power Value Data storehouse has been set up.

Wherein, data message is that the flow process of user's equipment downward received power value and Fig. 6 are similar, does not repeat them here.

For situation four, subscriber equipment received power database, for the subdata base that uplink and downlink received power is set up respectively, after importing for the subscriber equipment of alternative original system level assessment up or downlink reception power computational process, namely need not calculate, directly obtain the up of needs or downlink reception power information by database.In running, with the distance reading database information between subscriber equipment and base station.

The such as t1 moment, need the up or downlink reception power information obtaining subscriber equipment, first determine that the distance between subscriber equipment and base station is S, then according to database granularity L quantification gradation, namely obtain the numbering i of the up or downlink reception power subdata base of relative user equipment, then in corresponding subdata base the up or downlink reception power numerical applications of random selecting one in the subscriber equipment of current needs up or downlink reception power information.The granularity L that sets up of the up or downlink reception power subdata base in tentation data storehouse is 1 meter, whole database comprises 1 meter, 2 meters, 3 meters, ..., different subdata bases, up or the downlink reception power information of the different distance between relative user equipment and base station, if when S is 3.3 meters, round downwards according to the granularity L quantification gradation of the up or downlink reception power subdata base in database or round up, then in a database up or downlink reception power subdata base numbering be the up of random selecting record in the subdata base of 3 or 4 correspondences or downlink reception power information, for calculating the up or descending SINR of current user equipment, by that analogy.

Situation five, type are that user device channel detects gain, then data message comprises subscriber equipment up channel and detects yield value and user's equipment downward Channel Detection yield value, and it is distance between subscriber equipment and base station that subscriber equipment up channel detects yield value and acquisition numerical value corresponding to user's equipment downward Channel Detection yield value.

When dividing subdata base, first the uplink and downlink channel of subscriber equipment being detected the distance composition straight line between subscriber equipment corresponding to gain and base station, determining that on straight line, between 2, ultimate range is S.Choose the X at minimum range interval between 2 on the straight line after described point doubly for granularity L, X are positive number, value 1,2 ....Determine subdata base number N=S/L (upwards or downwards rounding).Then, detect gain information to the subscriber equipment uplink and downlink channel of all collections to process respectively, from lower left point (longitude and latitude smallest point) most on curve, take L as interval, detect gain data store collecting all uplink and downlink channels with this air line distance in same granularity separately, and record the number of this partial data respectively, set up two subdata bases (up channel detects gain and down channel detects gain), be numbered i=0 respectively; Successively with granularity L for interval stored record data, set up up channel and detect gain and down channel detection gain subdata base, numbering adds one and increases progressively, namely i=i+1 is numbered, until set up N number of subdata base (i==N), the up channel of N number of granularity detects gain and down channel detection gain subdata base composition user device channel detection gain data storehouse the most at last.Detailed process can see Fig. 7.

It should be noted that, above-mentioned S, X, L, N detect yield value for subscriber equipment up channel and user's equipment downward Channel Detection yield value can arrange same value, also can different values be set respectively, specifically concrete data message of sampling as required or can be depended on.

As shown in Figure 7, embodiment of the present invention type is that user device channel detects gain, and the subdata base division methods that data message is subscriber equipment up channel detection yield value comprises the following steps:

Step 701, determining to detect by collecting subscriber equipment up channel the straight line that the distance between the subscriber equipment of yield value and base station forms, determining that on straight line, between 2, ultimate range is S;

Step 702, determine real network collect the granularity L of data processing be the X of minimum two-point defined line distance on straight line doubly;

Step 703, determine need set up subdata base number N be S/L (round up or round downwards);

Step 704, judge N be whether 0 (step 703 calculate N use round downwards) or be 1 (step 703 calculate N use round up), if so, then perform step 705; Otherwise, perform step 706;

Step 705, determine that granularity L is excessive, and adjust X, the X before making the X after adjustment be less than adjustment, and return step 702;

Step 706, with granularity L for interval, from recording user equipment up channel detects the minimum place of distance between the subscriber equipment of yield value and base station, according to air line distance, the distance between all subscriber equipmenies and base station is marked off N number of interval successively;

Step 707, corresponding for the distance between the subscriber equipment in the i-th+1 interval and base station all subscriber equipment up channels are detected yield values record storage respectively, set up subdata base, and using i as this database accession number, then i is increased a step value (such as 1), wherein i initial value is 0;

Step 708, judge that whether increase the i after step value equals N, if so, then performs step 709; Otherwise, return step 707;

Step 709, determine subscriber equipment up channel detect gain-value data storehouse set up.

Wherein, data message is that the flow process of user's equipment downward Channel Detection yield value and Fig. 7 are similar, does not repeat them here.

For situation five, user device channel detects gain data storehouse, for the subdata base that uplink and downlink channel detection gain is set up respectively, after importing, for the subscriber equipment of alternative original system level assessment, up or down channel detects gain calculation process, namely need not calculate, directly obtain the up of needs or down channel detection gain information by database.In running, with the distance reading database information between subscriber equipment and base station.

The such as t1 moment, up or the down channel obtaining subscriber equipment is needed to detect gain information, first determine that the distance between subscriber equipment and base station is S, then according to database granularity L quantification gradation, namely obtain the numbering i that the up or down channel of relative user equipment detects gain subdata base, then in corresponding subdata base, the up or down channel of random selecting one detects gain values and is applied to the up or down channel of the subscriber equipment of current needs and detects gain information.The granularity L that sets up that up or down channel in tentation data storehouse detects gain subdata base is 1 meter, whole database comprises 1 meter, 2 meters, 3 meters, ..., different subdata bases, up or the down channel of the different distance between relative user equipment and base station detects gain information, if when S is 3.3 meters, the granularity L quantification gradation detecting gain subdata base according to the up or down channel in database rounds downwards or rounds up, up or down channel in a database detects the up or down channel detection gain information that gain subdata base numbering is random selecting record in the subdata base of 3 or 4 correspondences, for calculating the up or descending SINR of current user equipment, by that analogy.

If situation six type is crucial signaling, then data message comprises transmission delay and the transmission success probability of the crucial signaling of each bar in the initiation probability of critical process and each critical process, and the transmission delay of the crucial signaling of each bar in the initiation probability of critical process and each critical process and acquisition numerical value corresponding to transmission success probability are the distances between subscriber equipment and base station.

The crucial signaling procedure database of subscriber equipment, various crucial signaling procedure sets up subdata base respectively, comprise the subdata base that various crucial signaling procedure initiates probability, with the transmission delay of the similar signaling of every bar in each crucial signaling procedure, the subdata base of transmission success probability.

By the data of all collections according to the crucial signaling procedure of difference, as access procedure, handoff procedure, RRC reconfiguration course etc., set up subdata base.

One, various crucial signaling procedure initiates the subdata base of probability.

Before building database, first obtain the probability that various crucial signaling procedure initiated by subscriber equipment on diverse geographic location, set up the probability subdata base that various crucial signaling procedure initiated by diverse location subscriber equipment.Concrete grammar is, the distance composition straight line between the subscriber equipment corresponding with bar signaling first in each crucial signaling procedure and base station, determines that on straight line, between 2, maximum spacing is S.Choose the X of minimum spacing between 2 on the straight line after described point doubly for granularity L, X are positive number, value 1,2 ....Determine subdata base number N=S/L (upwards or downwards rounding).Then, the information subscriber equipment of all collections being initiated to various crucial signaling procedure processes respectively, from smallest point on straight line (the distance smallest point between subscriber equipment and base station), take L as interval, add up the times N j of first bar signaling in each the crucial signaling procedure collected in same granularity with this air line distance respectively, j represents crucial signaling procedure numbering (value 0, 1, 2, ..., Z), and calculate the probability Yj=Nj/ ∑ Nj that in same granularity, each crucial signaling procedure is initiated respectively, and record stores this Z probable value, set up subdata base, be numbered i=0, successively with granularity L for interval stores processor data, set up various crucial signaling procedure and initiate probability subdata base, numbering adds one and increases progressively, namely i=i+1 is numbered, until set up N number of subdata base (i==N), the most various crucial signaling procedure of N number of granularity is initiated the various crucial signaling procedure of probability subdata base composition subscriber equipment and is initiated probability subdata base.Detailed process can see Fig. 8.

As shown in Figure 8, embodiment of the present invention type is the crucial signaling of subscriber equipment, and the subdata base division methods that data message is critical process information comprises the following steps:

Step 801, determine the straight line that is made up of the distance between the subscriber equipment of the initiation probability collecting critical process information and base station, determine that on straight line, between 2, ultimate range is S;

Step 802, determine real network collect the granularity L of data processing be the X of minimum two-point defined line distance on straight line doubly;

Step 803, determine need set up subdata base number N be S/L (round up or round downwards);

Step 804, judge N be whether 0 (step 803 calculate N use round downwards) or be 1 (step 803 calculate N use round up), if so, then perform step 805; Otherwise, perform step 806;

Step 805, determine that granularity L is excessive, and adjust X, the X before making the X after adjustment be less than adjustment, and return step 802;

Step 806, with granularity L for interval, from the minimum place of distance between the subscriber equipment and base station of the initiation probability of recorded key procedural information, according to air line distance, the distance between all subscriber equipmenies and base station is marked off N number of interval successively;

Step 807, the initiation probability of all critical process information corresponding for the distance between the subscriber equipment in the i-th+1 interval and base station is recorded storage respectively, set up subdata base, and using i as this database accession number, then i is increased a step value (such as 1), wherein i initial value is 0;

Step 808, judge that whether increase the i after step value equals N, if so, then performs step 809; Otherwise, return step 807;

Step 809, determine that the initiation probability database of critical process information has been set up.

Two, the transmission delay of the similar signaling of every bar in each crucial signaling procedure and the subdata base of transmission success probability.

Before building database, first the sig data information that same crucial signaling procedure is relevant is divided into a set, finally carries out unifying process for similar each bar signaling data in set.Concrete grammar is, distance composition straight line when being collected by the signaling data of same (of the same type) respectively between corresponding subscriber equipment and base station, determines that on straight line, between 2, maximum spacing is S.Choose the X of minimum spacing between 2 on the straight line after described point doubly for granularity L, X are positive number, value 1,2 ....Determine subdata base number N=S/L (upwards or downwards rounding).Then, critical signaling information in the various crucial signaling procedure of the subscriber equipment of all collections is processed respectively, from smallest point on straight line (the distance smallest point between subscriber equipment and base station), take L as interval, to the related data information (transmission delay that same signaling in this set is collected, transmission success probability) process respectively, the data collected in same granularity are stored separately, and record the number of this partial data, the most multiple varigrained data acquisition system calls oneself the subdata base of each the different signaling in this crucial signaling procedure, this subdata base comprises transmission delay corresponding to this signaling and transmission success probability subdata base simultaneously.Finally the transmission delay of the multiple different signaling in same crucial signaling procedure and transmission success probability subdata base are formed the subdata base of the crucial signaling procedure of subscriber equipment.Detailed process can see Fig. 9.

It should be noted that, above-mentioned S, X, L, N can arrange same value for the transmission delay of the dissimilar signaling in the multiple crucial signaling procedure of subscriber equipment and transmission success probability, also can different values be set respectively, specifically concrete data message of sampling as required or can be depended on.

As shown in Figure 9, embodiment of the present invention type is the crucial signaling of subscriber equipment, and the subdata base division methods that data message is crucial signaling in each critical process comprises the following steps:

Step 901, be divided into Z set, numbering j by collecting data according to the crucial signaling procedure of difference, identical with the numbering that crucial signaling procedure probability of happening uses (value 0,1,2 ..., Z-1);

Step 902, the transmission delay setting up each bar signaling in the crucial signaling procedure of numbering j and transmission success probability subdata base, note j=0;

Step 903, sig data information relevant for the crucial signaling procedure of numbering j is divided into M set according to different signaling, numbering m, (value 0,1,2 ..., M-1), note m=0, wherein M can be different for each crucial signaling procedure, depend in each crucial signaling procedure the dissimilar signaling number related to;

Step 904, the straight line transmission delay of the similar signaling of the every bar of corresponding collection in the signaling data set of numbering m and the distance between the subscriber equipment of transmission success probability and base station formed, determine that on straight line, between 2, ultimate range is S;

Step 905, determine real network collect the granularity L of data processing be the X of minimum two-point defined line distance on straight line doubly;

Step 906, determine need set up subdata base number N be S/L (round up or round downwards);

Step 907, judge N be whether 0 (step 906 calculate N use round downwards) or be 1 (step 906 calculate N use round up), if so, then perform step 908; Otherwise, perform step 909;

Step 908, determine that granularity L is excessive, and adjust X, the X before making the X after adjustment be less than adjustment, and return step 905;

Step 909, with granularity L for interval, from the minimum place of distance between the subscriber equipment and base station of the transmission delay and transmission success probability that record the similar signaling of every bar, according to air line distance, the distance between all subscriber equipmenies and base station is marked off N number of interval successively;

Step 910, the transmission delay of all similar signaling of numbering m in crucial for numbering j corresponding for the distance between the subscriber equipment in the i-th+1 interval and base station signaling procedure and transmission success probability are recorded storage respectively, set up subdata base, and using i as this database accession number, then i is increased a step value (such as 1), wherein i initial value is 0;

Step 911, judge that whether increase the i after step value equals N, if so, then performs step 912; Otherwise, return step 910;

Step 912, m is increased a step value (such as 1) after, judge that whether increase the m after step value equals M, if so, then performs step 913; Otherwise, return step 904;

Step 913, j is increased a step value (such as 1) after, judge that whether increase the j after step value equals Z, if so, then performs step 914; Otherwise, return step 903;

Step 914, determine that the transmission delay of the similar signaling of every bar and transmission success probability database have been set up.

The crucial signaling procedure database of subscriber equipment, various crucial signaling procedure sets up subdata base respectively, comprise the subdata base that various crucial signaling procedure initiates probability, with the transmission delay of the similar signaling of every bar in each crucial signaling procedure and the subdata base of transmission success probability, for the initiation behavior of analog subscriber equipment various crucial signaling procedure in live network and reciprocal process after importing.In use, with the distance reading database information between subscriber equipment and base station, the such as t1 moment, need the crucial signaling procedure information obtaining subscriber equipment, first determine that the distance between subscriber equipment and base station is S, then the subdata base granularity L quantification gradation of probability is initiated according to various crucial signaling procedure, namely the numbering that the various crucial signaling procedure of relative user equipment initiates the subdata base of probability is obtained, then stochastic generation one [0, 1] the random number A in scope, the various crucial signaling procedure of initiating to record in the subdata base of probability with corresponding crucial signaling procedure is initiated probability numbers and is compared, the crucial signaling procedure that two numerical value immediate initiation probability are corresponding is the crucial signaling procedure that current time subscriber equipment is initiated, reference numeral j, then the distance S between subscriber equipment and base station successively according to transmission delay and the transmission success probability subdata base granularity L ' quantification gradation of the crucial signaling of numbering m in the crucial signaling procedure of numbering j, namely the transmission delay of relative user equipment crucial signaling of numbering m in the crucial signaling procedure of numbering j and the numbering i of transmission success probability subdata base is obtained, then in transmission delay corresponding to the crucial signaling of numbering i and transmission success probability subdata base, random selecting transmission delay and transmission success probability numbers are applied to the crucial signaling procedure information of subscriber equipment of current needs.In application process, after determining the crucial signaling procedure of initiating, crucial signaling numbering m wherein, from 0, needs to judge that whether signalling is successful, if success, m increases progressively 1, and the transmission delay and the transmission success probabilistic information that continue next crucial signaling in crucial signaling obtain; Otherwise this crucial signaling procedure occurs abnormal, performs corresponding abnormality processing.Suppose that the granularity L that various crucial signaling procedure initiates the subdata base of probability is 1 meter, whole database comprises 1 meter, 2 meters, 3 meters, ..., the probabilistic information of various crucial signaling procedure initiated by the subscriber equipment of the different distance between relative user equipment and base station, if when S is 1.5 meters, [0, 1] random number A is got in scope, the subdata base granularity L quantification gradation of initiating probability according to various crucial signaling procedure rounds downwards or rounds up, in correspondence database, the various crucial signaling procedure of subscriber equipment initiates the subdata base numbering of probability is 1 or 2, random number A is compared from the initiation probability of the different crucial signaling procedure recorded in corresponding subdata base, numerical value is immediate namely as the crucial signaling procedure that current user equipment can be initiated.Then order reads signalling time delay subdata base information corresponding to each bar signaling of sequential delivery in this crucial signaling procedure successively, namely the crucial signaling initiated with Article 1 in this crucial signaling procedure starts, information in the transmission delay subdata base of random reading Article 1 signaling, suppose that the granularity L ' of the subdata base (numbering m is 0) of the crucial signalling time delay of Article 1 and transmission success probability is 1 meter, round downwards according to the transmission delay of this crucial signaling and transmission success probability subdata base granularity L quantification gradation or round up, in correspondence database, the transmission delay of this crucial signaling of subscriber equipment and transmission success probability subdata base numbering are 1 or 2, at the transmission time-delayed information that subdata base numbering is this crucial signaling of random selecting record in the subdata base of 1 or 2 correspondences, for calculating the transmission delay of this signaling of current user equipment, namely the transmission delay of this signaling is added up as the time of reception point t2 of this signaling using t1 time point, then the stochastic generation one [0 again when time of reception point t2 arrives, 1] the random number B in scope, numbering with random from then on bar signaling is that the transmission success probability data that 1 or 2 corresponding transmission success probability subdata bases read compares, if B is greater than the subdata base data of reading, then think this signalling mistake, otherwise, think that this signalling is correct.If this signalling mistake, terminate this time crucial signaling procedure simulation in advance, line correlation failure reprocessing of going forward side by side.If this signalling is correct, then using the transmitting time of current time t2 as next signaling, read transmission delay corresponding to next signaling and transmission success probability subdata base (numbering m is 1) information, read method is identical with transmission success probability subdata base information-reading method with the transmission delay of Article 1 signaling, then determine this signaling time of reception, then to read the transmission success probability subdata base information of this signaling.By that analogy, order repeats the process identical with the process of transmission success probability subdata base with the transmission delay of Article 1 signaling to each signaling in whole crucial signaling procedure, until all signallings of whole signaling procedure have been simulated or terminate this time crucial signaling procedure simulation in advance due to certain signalling mistake.

As can be seen from Fig. 8 and Fig. 9, database comprises the subdata base of subdata base corresponding to the initiation probability of critical process information and each critical process; The subdata base of each critical process comprises subdata base corresponding to the transmission success probability of each crucial signaling in subdata base corresponding to the propagation delay time of each crucial signaling in this process and this process.

For above-mentioned several dissimilar database, preferably, granularity unit is identical for the database of same type, and granularity value allows different for the database of same type, specifically depends on the network data of actual collection and the defining method of granularity.Consider that the magnitude range of the data in each grain size intervals in individual database may change acutely, the variance of the data in a such as grain size intervals is far longer than the variance of the data in other intervals of same particle sizes.In order to ensure the precision that database uses, the data that data variance in this granularity is large are also needed to segment granularity further, guarantee that the data variation variance absolute value in each grain size intervals in the final database set up is not very large, and relative value is also basically identical.Namely, in the database creation process for a type, the data cases can collected by real network, determines to use multiple different data processing granularity.Such as base station dimensional antenna gain data storehouse, in the horizontal direction angular region that positive and negative 3dB horizontal gain is corresponding, horizontal gain change is comparatively violent.So the process granularity dividing antenna horizontal gain data corresponding to this part horizontal azimuth is meticulousr, the process granularity of the antenna horizontal gain data that the horizontal direction angle of all the other scopes is corresponding can be wider a little.

Based on same inventive concept, a kind of equipment that carries out system-level off-line test corresponding with the method for the embodiment of the present invention is additionally provided in the embodiment of the present invention, the principle of dealing with problems due to this equipment is similar to the method that the embodiment of the present invention carries out system-level off-line test, therefore the enforcement of this equipment see the enforcement of method, can repeat part and repeats no more.

As shown in Figure 10, the equipment that the embodiment of the present invention carries out system-level off-line test comprises: acquisition module 10, set up module 20, select module 30 and test module 40.

Acquisition module 10, for obtaining the data message in real network;

Set up module 20, for the data message for a type, according to the type of data message and the corresponding relation of granularity, determine the granularity that this data message is corresponding, and according to the granularity determined, the data message of the type is divided into N number of subdata base, wherein N is positive integer;

Select module 30, for carrying out the type of the data message of system-level off-line test and corresponding granularity as required, from multiple subdata bases that the data message of the type is corresponding, select to comprise the subdata base of data message corresponding to the type that needs to carry out system-level off-line test;

Test module 40, carries out system-level off-line test for the data message selecting the type that needs to carry out system-level off-line test corresponding from the subdata base selected.

Preferably, set up module 20 and determine the acquisition numerical value that each data message of the type is corresponding, and be multiple data interval according to the granularity division of the correspondence of the type; Data message corresponding for the acquisition numerical value belonging to identical numerical intervals is divided in same subdata base.

Preferably, module 30 is selected to determine the acquisition numerical value needing the type of carrying out system-level off-line test, the numerical intervals corresponding according to each subdata base of the type, determine to comprise the numerical intervals of the acquisition numerical value needing the type of carrying out system-level off-line test, and select the subdata base that the numerical intervals determined is corresponding.

Preferably, the type of module 20 according to following manner determination data message and the corresponding relation of granularity is set up:

For the data message of a type, determine the acquisition numerical value that each data message of the type is corresponding; Determine the spacing between each adjacent acquisition numerical value, and by the product of minimum spacing in the spacing determined with the multiple preset, as the granularity that the type is corresponding.

Preferably, set up module 20 and determine N according to following manner:

For the data message of a type, determine the acquisition numerical value that each data message of the type is corresponding; Determine the spacing between each adjacent acquisition numerical value, and by maximum spacing in the spacing determined divided by granularity corresponding to the type, the value obtained rounds rear as N.

Preferably, if type is dimensional antenna gain, then data message comprises antenna horizontal gain value and antennas orthogonal yield value, and acquisition numerical value corresponding to antenna horizontal gain value is antenna level angle, and the acquisition numerical value that antennas orthogonal yield value is corresponding is antennas orthogonal angle;

If type is subscriber equipment metrical information, then data message comprises RSRQ value and RSRP value, and the acquisition numerical value of RSRQ value and RSRQ value correspondence is the distance between subscriber equipment and base station;

If type is subscriber equipment received power, then data message comprises subscriber equipment uplink received power value and user's equipment downward received power value, and subscriber equipment uplink received power value and acquisition numerical value corresponding to user's equipment downward received power value are the distances between subscriber equipment and base station;

Those skilled in the art should understand, embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt the form of complete hardware embodiment, completely software implementation or the embodiment in conjunction with software and hardware aspect.And the present invention can adopt in one or more form wherein including the upper computer program implemented of computer-usable storage medium (including but not limited to magnetic disc store, CD-ROM, optical memory etc.) of computer usable program code.

The present invention describes with reference to according to the flow chart of the method for the embodiment of the present invention, equipment (system) and computer program and/or block diagram.Should understand can by the combination of the flow process in each flow process in computer program instructions realization flow figure and/or block diagram and/or square frame and flow chart and/or block diagram and/or square frame.These computer program instructions can being provided to the processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing device to produce a machine, making the instruction performed by the processor of computer or other programmable data processing device produce device for realizing the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.

These computer program instructions also can be stored in can in the computer-readable memory that works in a specific way of vectoring computer or other programmable data processing device, the instruction making to be stored in this computer-readable memory produces the manufacture comprising command device, and this command device realizes the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.

These computer program instructions also can be loaded in computer or other programmable data processing device, make on computer or other programmable devices, to perform sequence of operations step to produce computer implemented process, thus the instruction performed on computer or other programmable devices is provided for the step realizing the function of specifying in flow chart flow process or multiple flow process and/or block diagram square frame or multiple square frame.

Although describe the preferred embodiments of the present invention, those skilled in the art once obtain the basic creative concept of cicada, then can make other change and amendment to these embodiments.So claims are intended to be interpreted as comprising preferred embodiment and falling into all changes and the amendment of the scope of the invention.

Obviously, those skilled in the art can carry out various change and modification to the present invention and not depart from the spirit and scope of the present invention.Like this, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.

Claims

1. carry out a method for system-level off-line test, it is characterized in that, the method comprises:

Obtain the data message in actual wireless mobile communications network;

The data message selecting the type that needs to carry out system-level off-line test corresponding from the subdata base selected carries out system-level off-line test;

According to the granularity determined, the data message of the type is divided into multiple subdata base, comprises:

Determine the acquisition numerical value that each data message of the type is corresponding, and be multiple data interval according to the granularity division of the correspondence of the type;

Data message corresponding for the acquisition numerical value belonging to identical numerical intervals is divided in same subdata base;

Select to comprise the subdata base needing the data message carrying out system-level off-line test from multiple subdata bases that the data message of the type is corresponding, comprising:

Determine the acquisition numerical value needing the type of carrying out system-level off-line test, the numerical intervals corresponding according to each subdata base of the type, determine to comprise the numerical intervals of the acquisition numerical value needing the type of carrying out system-level off-line test, and select the subdata base that the numerical intervals determined is corresponding.

2. the method for claim 1, is characterized in that, according to the type of following manner determination data message and the corresponding relation of granularity:

3. the method for claim 1, is characterized in that, determines N according to following manner:

Determine the spacing between each adjacent acquisition numerical value, and by maximum spacing in the spacing determined divided by granularity corresponding to the type, the value obtained rounds rear as N.

4. the method for claim 1, is characterized in that, the data message for a type is the data message of a type for same subscriber equipment.

5. the method for claim 1, is characterized in that,

If type is subscriber equipment metrical information, then data message comprises Reference Signal Received Quality RSRQ value and Reference Signal Received Power RSRP value, and the acquisition numerical value of RSRQ value and RSRQ value correspondence is the distance between subscriber equipment and base station;

6. carry out an equipment for system-level off-line test, it is characterized in that, this equipment comprises:

Acquisition module, for obtaining the data message in actual wireless mobile communications network;

Test module, carries out system-level off-line test for the data message selecting the type that needs to carry out system-level off-line test corresponding from the subdata base selected;

Described set up module specifically for:

Determine the acquisition numerical value that each data message of the type is corresponding, and be multiple data interval according to the granularity division of the correspondence of the type; Data message corresponding for the acquisition numerical value belonging to identical numerical intervals is divided in same subdata base;

Described selection module specifically for:

7. equipment as claimed in claim 6, is characterized in that, describedly sets up the type of module according to following manner determination data message and the corresponding relation of granularity:

8. equipment as claimed in claim 6, it is characterized in that, described module of setting up determines N according to following manner:

9. equipment as claimed in claim 6, it is characterized in that, the data message for a type is the data message of a type for same subscriber equipment.

10. equipment as claimed in claim 6, is characterized in that,