CN102098710A - Road network quality simulation system and method - Google Patents
Road network quality simulation system and method Download PDFInfo
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Abstract
The invention discloses a road network quality simulation system, which at least comprises: a public data module for pre-treating road network sweep frequency data measured by a frequency sweeping meter, and a quality simulation module for analyzing and calculating to obtain a quality simulation result of the radio network according to the pre-treated sweep frequency data. Preferably, the quality simulation module further comprises a handover risk simulation module, a dropped call risk simulation module, a poor quality risk simulation module and an access risk simulation module which are used for calculation to obtain a handover risk simulation result, a dropped call risk simulation result, a poor quality risk simulation result and an access risk simulation result respectively. The invention further provides a road network quality simulation method correspondingly. By the method and the system, quality hidden danger in the road network can be found by a simulation algorism and the work effect and efficiency in the network optimization phase can be greatly improved.
Description
Technical field
The present invention relates to the quality testing of wireless network, relate in particular to a kind of road network quality simulation System and method for.
Background technology
In recent years, along with the develop rapidly of cellular telecommunication art, cellular network is widely used.In cellular network, because the influence of factors such as website planning, network parameter unreasonable allocation or geographical environment, make cellular network have diverse network quality problems such as call drop, handoff failure, access failure, voice quality difference, need carry out network optimization work to cellular network in order just to address these problems.The network optimization is exactly that the network that puts into operation is carried out that problem is searched, problem reason location, adjusts accordingly by technological means and make network reach the process of optimal operational condition at last.Wherein, it is the basic link of network optimization work that problem is searched, and how to find out the network quality problem that the meeting that exists in the network influences user's subjective feeling accurately and efficiently, is the key point of the input and output of the whole network optimization stage work of directly influence.
A kind of method of Network Search problem commonly used is based on the drive test data of conventional terminal analog subscriber conversation and analyzes.Show that through for many years practical application experience there is following problem in said method: the test data that testing equipment that needs are special and personnel gather magnanimity, waste time and energy, the cost height, and optimize poor effect.Cause the main cause of this situation to be, behavioral test (for example speed of a motor vehicle) and test terminal performance uncontrollable factors such as (for example BSIC decode times) has determined each test result can only reflect the few part in the network all problems, in order to obtain to need a large amount of tests repeatedly than more comprehensive data, and each test is because the bigger needs of network coverage take a large amount of time of professional and technical personnel, therefore greatly reduce operating efficiency, improved cost, locate and optimize and revise solution formulation work also for simultaneously follow-up problem reason and bring big difficulty, and then influence final network optimization effect.
In summary, existing wireless network test technology obviously exists inconvenience and defective, so be necessary to be improved on reality is used.
Summary of the invention
At above-mentioned defective, the object of the present invention is to provide a kind of road network quality simulation System and method for, can search the various hidden danger of quality that road network exists by simulation algorithm, can improve network optimization stage work effect and efficient greatly.
To achieve these goals, the invention provides a kind of road network quality simulation system, comprise at least:
The common data module, the road network frequency sweep data that are used for sweep generator is recorded are carried out preliminary treatment;
The quality simulation module is used for according to described pretreated frequency sweep data, and analytical calculation obtains the quality simulation result of road network.
According to road network quality simulation of the present invention system, described common data module comprises:
The data rasterizing module is used for the frequency sweep data are handled the data sequence that obtains under the different speed of a motor vehicle;
Main overlay model module is used for that described data sequence is carried out computational analysis and obtains main coverage cell, sets up the overlapping overlay model in main plot;
Risk sub-district computing module is used for calculating the risk sub-district according to described frequency sweep data and main overlay model.
According to road network quality simulation of the present invention system, described quality simulation module comprises:
The risk of handover emulation module is used for the Treatment Analysis first input data and obtains the risk of handover simulation result;
The risk of dropped calls emulation module is used for the Treatment Analysis first input data and obtains the risk of dropped calls simulation result;
Matter difference risk emulation module is used for the Treatment Analysis first input data and obtains matter difference risk simulation result;
Insert the risk emulation module, be used for the Treatment Analysis second input data and obtain inserting the risk simulation result.
According to road network quality simulation of the present invention system, described risk of handover emulation module, risk of dropped calls emulation module and matter difference risk emulation module all adopt the Active sort algorithm, and the described first input data comprise frequency sweep data, TCH traffic data, Ericsson's handoff parameter, sub-district acquistion probability, the test speed of a motor vehicle and terminal capabilities parameter.
According to road network quality simulation of the present invention system, described access risk emulation module adopts the Idle sort algorithm, and the described second input data comprise frequency sweep data, the congested traffic data of SD, Ericsson's reselecting parameters, sub-district acquistion probability, the test speed of a motor vehicle and terminal capabilities parameter.
The present invention provides a kind of road network quality simulation method accordingly, realizes that by foregoing analogue system described method may further comprise the steps at least:
Data pre-treatment step: the road network frequency sweep data that preliminary treatment records;
Road network quality simulation step: the described frequency sweep data of analytical calculation obtain the quality simulation result of road network.
According to road network quality simulation method of the present invention, described data pre-treatment step further comprises:
Handle the frequency sweep data, obtain the data sequence under the different speed of a motor vehicle;
The described data sequence of computational analysis obtains main coverage cell, sets up the overlapping overlay model in main plot;
Calculate the risk sub-district according to described frequency sweep data and sub-district overlay model.
According to road network quality simulation method of the present invention, described quality simulation step further comprises:
The Treatment Analysis first input data obtain risk of handover simulation result, risk of dropped calls simulation result and matter difference risk simulation result respectively;
The Treatment Analysis second input data obtain inserting the risk simulation result.
According to road network quality simulation method of the present invention, adopt the Active sort algorithm Treatment Analysis first input data, the described first input data comprise frequency sweep data, TCH traffic data, Ericsson's handoff parameter, sub-district acquistion probability, the test speed of a motor vehicle and terminal capabilities parameter.
According to road network quality simulation method of the present invention, adopt the Idle sort algorithm Treatment Analysis second input data, the described second input data comprise frequency sweep data, the congested traffic data of SD, Ericsson's reselecting parameters, sub-district acquistion probability, the test speed of a motor vehicle and terminal capabilities parameter.
The present invention carries out preliminary treatment by the common data module to the frequency sweep data of sweep generator drive test, concrete, it handles the data sequence that obtains under the different speed of a motor vehicle by the data rasterizing module to the frequency sweep data, obtain overlapping overlay model in main plot and risk sub-district by main overlay model module and risk sub-district computing module respectively again, further, system calculates the quality simulation result of road network by the quality simulation module analysis according to the various data messages of common data module.Whereby, the present invention can search the various hidden danger of quality that road network exists by simulation algorithm, can improve network optimization stage work effect and efficient greatly.
Description of drawings
Fig. 1 is the structural representation of road network quality simulation of the present invention system;
Fig. 2 is the structural representation of road network quality simulation one embodiment of system of the present invention;
Fig. 3 is one embodiment of the invention road network quality simulation master of system overlay model schematic diagram;
Fig. 4 is the risk sub-district schematic diagram of one embodiment of the invention road network quality simulation system;
Fig. 5 is that the risk of handover simulation result of one embodiment of the invention road network quality simulation system presents figure;
Fig. 6 is that the risk of dropped calls simulation result of one embodiment of the invention road network quality simulation system presents figure;
Fig. 7 is that the matter difference risk simulation result of one embodiment of the invention road network quality simulation system presents figure;
Fig. 8 is that the access risk simulation result of one embodiment of the invention road network quality simulation system presents figure;
Fig. 9 is a road network quality simulation method flow diagram of the present invention;
Figure 10 is the theory structure schematic diagram of road network quality simulation method of the present invention.
Embodiment
In order to make purpose of the present invention, technical scheme and advantage clearer,, the present invention is further elaborated below in conjunction with drawings and Examples.Should be appreciated that specific embodiment described herein only in order to explanation the present invention, and be not used in qualification the present invention.
Fig. 1 is the basic structure schematic diagram of road network quality simulation of the present invention system, and road network quality simulation system 100 comprises public module 10 and quality simulation module 20 at least,
Fig. 2 is the structural representation of road network quality simulation of the present invention system one specific embodiment, and in the present embodiment, common data module 10 comprises data rasterizing module 11, main overlay model module 12 and risk sub-district computing module 13.Wherein:
Data rasterizing module 11 is used for the frequency sweep data are handled to obtain the data sequence under the different speed of a motor vehicle.In the practical application, the sub-district that the same test track records under the different speed of a motor vehicle takies sequence and can change, thereby influences network quality and network index, brings the user different subjective feelings.Therefore, 11 pairs of initial data of this data rasterizing module are handled the data sequence that can obtain under the different speed of a motor vehicle, can simulate the road network quality under the different speed of a motor vehicle whereby.
Concrete, the algorithm that data rasterizing module 11 adopts is as described below:
Sweep generator carries out data acquisition when the speed of a motor vehicle is lower than 20Km/h, obtain sampled point as much as possible.Data rasterizing module 11 is handled by original frequency sweep data being done rasterizing, by different obtaining the data under the different speed of a motor vehicle and preserve into different files in software database apart from interval sampling.The speed of a motor vehicle is as variable parameter in the software, import different values (20,40 ..., 20*N) transfer corresponding data respectively and do quality simulation calculating.For example, distance is got 5.5m/s at interval and is sampled, and can obtain the data sequence that the speed of a motor vehicle is 5.5m/s*3600s ≈ 20km/h.Distance is got 5.5m/s*2=11m/s at interval and is sampled, and can obtain the data sequence that the speed of a motor vehicle is 11m/s*3600s ≈ 40km/h.And the like, can obtain the speed of a motor vehicle and be the data sequence of 20 different multiples.
Main overlay model module 12 is used for that data rasterizing module 11 is handled the data sequence that obtains and carries out computational analysis and obtain main coverage cell, and then sets up the overlapping overlay model in main plot.In the practical application, main overlay model module 12 is utilized the Active/Idle sort algorithm, RSSI and network-related parameters (Layer, Layerthr, Accmin, CR and PT) according to each sub-district in the frequency sweep data are carried out the sub-district ordering, filter out the first six the sub-district of ranking value of each sampled point, obtain all the main coverage cell in the test zone whereby, set up the overlapping overlay model in main plot.
Concrete, the Active/Idle sort algorithm is described below:
Under Active (call mode) algorithm, following situation is main coverage cell: 1) during the strongest 1 layer of sub-district RSSI (signal strength signal intensity indication)＞=layerthr (switch level), this sub-district is the 1st main coverage cell; 2) during all 1 layer of sub-district RSSI＜layerthr, the strongest sub-district is the 1st main coverage cell.The 2nd～10 sub-district master's coverage cell algorithm does not repeat them here as the 1st main coverage cell algorithm unanimity.
With certain certain sampled point the signal of ten sub-districts is arranged, information such as following table before the Active ordering.
| Ranking value | Cell name | RSSI | Layer | Layerthr |
| The last 1 | F | -50 | 2 | -80 |
| The last 2 | G | -55 | 2 | -80 |
| The last 3 | H | -60 | 2 | -80 |
| Semi-finals | I | -65 | 2 | -80 |
| The last 5 | A | -70 | 1 | -80 |
| The last 6 | B | -72 | 1 | -80 |
| The last 7 | C | -74 | 1 | -80 |
| The Final 8 | D | -78 | 1 | -80 |
| The last 9 | E | -79 | 1 | -80 |
| The last 10 | J | -82 | 1 | -80 |
At first to the sub-district of layer=1, RSSI and Layerthr compare, if RSSI＞Layerthr then sorts from big to small by RSSI; Put together and sort by the RSSI size in the sub-district of RSSI＜Layerthr and the sub-district of layer=2.Result such as following table after ordering is handled:
Under Idle (idle pulley) algorithm, following sub-district is main coverage cell: 1) RSSI＞accmin (the minimum level that inserts in this sub-district); 2) the C2 largest cell is main coverage cell, the 2nd～10 main coverage cell and the like; 3) C2 calculates, and works as pt=0, and C2=RSSI+accmin+2*cro is as pt ≠ 0, C2=RSSI+accmin-2*cro; 4) IDLE master's covering can not be done in 3 layers of sub-district.According to above rule, can extrapolate each main coverage cell.Need to prove, in the embodiments of the invention, when emulation call drop, switching and matter difference risk, adopt the Active sort algorithm, when emulation inserts risk, adopt the Idle sort algorithm.
With certain sampled point the signal of ten sub-districts is arranged, information such as following table before the Active ordering:
| Ranking value | Cell name | RSSI | Accmin | C2 |
| The last 6 | F | -50 | -100 | 13 |
| The last 7 | G | -55 | -100 | 11 |
| The Final 8 | H | -60 | -100 | 9 |
| The last 9 | I | -65 | -100 | 7 |
| The last 1 | A | -70 | -100 | 23 |
| The last 2 | B | -72 | -100 | 21 |
| The last 3 | C | -74 | -100 | 19 |
| Semi-finals | D | -78 | -100 | 17 |
| The last 5 | E | -79 | -100 | 15 |
| The last 10 | J | -82 | -100 | 5 |
At first RSSI and Accmin compare, and for the sub-district of RSSI＞Accmin, sort from big to small according to the C2 value; For the sub-district of RSSI＜Accmin, sort from big to small according to the RSSI value.
Result after the Idle ordering is handled is as follows:
The main overlay model that obtains according to the Active/Idle sort algorithm as shown in Figure 3, test trails is represented direction of traffic from left to right in the diagram, the A～different sub-district of F representative.
Risk sub-district computing module 13 is used for calculating the risk sub-district according to frequency sweep data and main overlay model.Need to prove, according to Principle of Communication, the have its source in radio link quality of sub-district of networks of different type quality problems such as call drop, handoff failure, access failure takes place in the road network take place to worsen and then cause the decoding failure, and the C/I of sub-district (carrier/interface ratio) can characterize radio link quality in the frequency sweep data.Therefore, need filter out the main coverage cell that exists continuous C/I low, these sub-districts are referred to as the risk sub-district.
In one embodiment of the invention, the decision algorithm of risk sub-district is as follows: on main overlay model basis the last 6 sub-district before all is judged, if there is the individual above sampled point C/I＜Q (Q is defaulted as 9) of N continuous 1 (being defaulted as 6) will be defined as the quality risk sub-district; If the individual above sampled point RSSI＜R of N continuous 2 (being defaulted as 2) is arranged, and (R is defaulted as-90dbm) will be defined as weak signal risk sub-district.
Wherein, for the algorithm of quality risk sub-district, certain continuous the first six strong cell information of six sampled points is as follows in one embodiment of the invention:
Continuous 6 sampled point C/I＜9, D sub-district judge that in view of the above this D sub-district is the quality risk sub-district as seen from the above table.
For weak signal risk sub-district decision algorithm processing procedure, in one embodiment of this invention, suppose that certain continuous the first six strong cell information of four sampled points in weak overlay area is as follows:
As seen from the above table continuous 3 the sampled point RSSI in F sub-district＜-90dbm, judge that in view of the above this F sub-district is weak signal risk sub-district.
Data sequence, main plot overlay model and risk sub-district that common data module 10 obtains being correlated with after to processing data information by each module, by these data, quality simulation module 20 can and insert risk and carry out emulation risk of handover, matter difference risk, risk of dropped calls, and can export in ground physics and chemistry mode, allow the user that impression is intuitively arranged whereby.
Better, quality simulation module 20 comprises risk of handover emulation module 21, risk of dropped calls emulation module 22, matter difference risk emulation module 23 and inserts risk emulation module 24.Each module is when concrete emulation, risk of handover emulation module 21, risk of dropped calls emulation module 22 and matter difference risk emulation module 23 all adopt the Active sort algorithm, and the input data that these several modules need comprise frequency sweep data, TCH traffic data, Ericsson's handoff parameter, sub-district acquistion probability, the test speed of a motor vehicle and terminal capabilities parameter; Insert risk emulation module 24 and adopt the Idle sort algorithm, its input data comprise frequency sweep data, the congested traffic data of SD, Ericsson's reselecting parameters, sub-district acquistion probability, the test speed of a motor vehicle and terminal capabilities parameter.
Risk of handover emulation module 21 is used for the relevant input data of Treatment Analysis and obtains the risk of handover simulation result, for making things convenient for subsequent descriptions, earlier the three kinds of scenes and the related notion of risk of handover is illustrated at this.
First kind of scene: with all main coverage cell that overlapping covering arranged to as investigating object, neighbor cell configuration table according to input is judged, when certain does not define the adjacent area to the minizone that overlapping covering is arranged, will be determined to exist the adjacent area leakage to join risk of handover, i.e. 0 grade of risk of handover.
Second kind of scene: with the quality risk sub-district as investigating object, the sub-district of overlapping covering is arranged as the handover source sub-district with continuous matter difference zone, when the continuous matter difference time of quality risk sub-district greater than handoff failure time (T1+T2+T3), judge that then this sub-district is to existing general risk of handover; General risk of handover rank is consistent with risk sub-district ranking value.As the ordering of risk sub-district is the last 1 sub-district, and then the risk of handover rank corresponds to 1 grade of risk of handover; As the ordering of risk sub-district is the last 2 sub-district, and then the risk of handover rank corresponds to 2 grades of risk of handover, and the rest may be inferred.
The third scene: with weak signal risk sub-district as investigating object, the sub-district of overlapping covering is arranged as the handover source sub-district with continuously weak overlay area, cover time is greater than switching the deadline (T1+T2) a little less than weak signal risk sub-district is continuous, then judge this sub-district to there being the weak signal risk of handover, i.e. 7 grades of risk of handover.
Cell-of-origin: the Serving cell before switching; Target cell: the Serving cell after the switching; Handover success required time: BSIC decode time T1+ switch decision time T 2; Handoff failure required time: handover success required time+handoff failure timer T3.
In the specific embodiment of the present invention, the adjacent area leaks that to join risk of handover algorithm process procedure declaration as follows: certain regional main overlay model as shown in Figure 3, main coverage cell has 6.For convenience of description, in this supposition A sub-district and undefined adjacent area, C sub-district, then there are overlapping covering relation in A sub-district and C sub-district as can be known by main overlay model.Further, can judge that by above condition A and C sub-district exist the adjacent area to leak air distribution danger, i.e. 0 grade of risk of handover.
In conjunction with Fig. 4, certain regional quality risk sub-district is the D sub-district, and S1～S2 scope is matter difference zone, D sub-district.Suppose simultaneously: S1～S2 sampling time is 10s, handoff failure required time T1+T2+T3 is 6s, be the continuous matter difference time greater than the handoff failure time, then all there are overlapping relation in A, B, C, E, five cell coverage areas of F with matter difference zone as can be known by main overlay model; Ordering is the last 6 during D sub-district matter difference; There are 6 grades of risk of handover in the time of can judging that by above condition A, B, C, E and F sub-district switch to the D sub-district.
Continuation is referring to Fig. 4, and certain regional weak signal risk sub-district is the A sub-district in the diagram, and S3～S4 scope is weak overlay area, A sub-district.Suppose that S3～S4 sampling time is 5s, it is 4s that required time T1+T2 is finished in switching, and the promptly continuous weak cover time, then all there were overlapping relation in B, C, D, E, five cell coverage areas of F with weak overlay area as can be known by main overlay model greater than switching the deadline; Further, can judge that by above condition sub-district A, B, C, E and F switch to sub-district D and have the weak signal risk of handover, i.e. 7 grades of risk of handover.
The simulation result of one embodiment of the invention risk of handover as shown in Figure 5, show in this diagram that total sampling number is 706, wherein having the sampling number of wind force 0 danger (representative miss-configured neighboring cells) is 37, having the sampling number of moderate gale danger is 125, and having the sampling number of strong gale danger (multiple rank risk stack is defined as 8 grades) is 175.The message box content shows that cell-of-origin " old room 3 ", " gateway of the village, old room 1 ", " gateway of the village, old room 2 ", " gateway of the village, old room 3 " switch to Target cell " Jin Ying road, old room 3 " and have risk of handover.
Risk of dropped calls emulation module 22 is used for the relevant input data of Treatment Analysis and obtains the risk of dropped calls simulation result, in the practical application, risk of dropped calls can divide following two kinds of sights: 1) isolated island risk of dropped calls: investigate as the cell-of-origin with risk sub-district (comprising quality risk sub-district and weak signal risk sub-district), when the continuous matter difference in cell-of-origin or weak cover time greater than call drop timing T6, and there is not switchable Target cell in matter difference or the weak overlay area continuously, call drop will take place in this moment, and the risk of dropped calls rank is the ranking value of cell-of-origin; 2) switch risk of dropped calls: investigate as Target cell with risk sub-district (comprising quality risk sub-district and weak signal risk sub-district), and the risk of dropped calls algorithm is consistent with the risk of handover algorithm principle, the risk of dropped calls level definition is consistent with the risk of handover definition.
Referring to Fig. 4, in one embodiment of the invention, certain regional quality risk sub-district is the D sub-district again, and S1～S2 scope is weak overlay area, D sub-district, and suppose: the sampling time is 10 seconds in S1～S2 scope, and call drop timer parameter T6 is 8s; D sub-district and A, B, C, E and five sub-districts of F do not have the individual event neighboring BS relationship, and promptly the D sub-district can't switch to the arbitrary sub-district among A, B, C, E and the F; Ordering is the last 6 during D sub-district matter difference; Can judge that according to above condition there are 6 grades of risk of dropped calls in the D sub-district, it is consistent with the risk of handover algorithm to switch the risk of dropped calls simulation algorithm, does not repeat them here.
The simulation result of the risk of dropped calls of one embodiment of the invention as shown in Figure 6, diagram shows that total sampling number is 706, wherein having the sampling number of moderate gale danger is 124, having the sampling number of strong gale danger (multiple rank risk stack is defined as 8 grades) is 48.The message box content shows that cell-of-origin " old room 3 ", " gateway of the village, old room 1 " switch to Target cell " gateway of the village, old room 3 " and have risk of dropped calls.
Matter difference risk emulation module 23 is used for the relevant input data of Treatment Analysis and obtains matter difference risk simulation result.Concrete, the C/I of 23 pairs of all main coverage cell of matter difference risk emulation module judges, if the individual sampled point C/I of continuous Z (being defaulted as 3) is arranged less than matter difference thresholding Q (being defaulted as 9), judge that then there is matter difference risk in the corresponding region, degree of risk is the ranking value of matter difference sub-district.Its algorithm process process is as follows:
Referring to Fig. 4, be matter difference zone, D sub-district in certain region S 1～S2 scope.Suppose: in S1～S2 zone all sampled point C/I＜9, matter difference thresholding Q=9; S1～S2 sampling number is 5, parameter Z=3 of counting continuously; Ordering is the last 6 during D sub-district matter difference; Can judge that by above condition there are 6 grades of matter difference risks in the D sub-district.
The simulation result of the matter difference risk of one embodiment of the invention shows in the diagram that total sampling number is 706 as shown in Figure 7, and the sampling number that has the fresh gale danger is 228.The message box content shows that there is matter difference risk in cell-of-origin " Jin Ying road, old room 1 ".
Insert risk emulation module 24, be used for the Treatment Analysis second input data and obtain inserting the risk simulation result, for convenience of description, earlier three kinds of scenes of related notion and access risk are described at this: insert risk: gravity treatment access failure in sub-district under the idle condition; Cell-of-origin: the Serving cell before the gravity treatment of sub-district; Target cell: the Serving cell after the gravity treatment of sub-district; Sub-district gravity treatment starting point: last sampled point of covering edge of cell-of-origin; Sub-district gravity treatment success required time: BSIC decode time T1+ switch decision time T 4; Sub-district gravity treatment failure required time: sub-district gravity treatment success required time+sub-district gravity treatment access failure timer T5.
First kind is inserted the risk scene: with all main coverage cell that overlapping covering arranged to as the investigation object, neighbor cell configuration table according to input is judged, when certain does not define the adjacent area to the minizone that overlapping covering is arranged, will be determined to exist the adjacent area leakage to connect, i.e. 0 grade of risk of handover into risk.
Second kind is inserted the risk scene: with the quality risk sub-district as investigating object, the sub-district of overlapping covering is arranged as the handover source sub-district with continuous matter difference zone, when the continuous matter difference time of quality risk sub-district greater than sub-district gravity treatment Time To Failure (T1+T4+T5), judge that then this sub-district is to existing general access risk; General access risk class is consistent with risk sub-district ranking value.If the ordering of risk sub-district is the last 1 sub-district, then inserts risk class and correspond to 1 grade of access risk; If the ordering of risk sub-district is the last 2 sub-district, then insert risk class and correspond to 2 grades of access risks, the rest may be inferred.
The third inserts risk scene: with weak signal risk sub-district as investigating object, the sub-district of overlapping covering is arranged as gravity treatment cell-of-origin, sub-district with continuously weak overlay area, cover time is greater than sub-district gravity treatment Time To Failure (T1+T4) a little less than weak signal risk sub-district is continuous, then judge this sub-district to there being weak signal access risk, promptly 7 grades are inserted risks.
The adjacent area leakage connects into risk algorithm process process prescription as follows: referring to certain regional main overlay model shown in Figure 3, main coverage cell has 6.Suppose the undefined adjacent area in A sub-district and C sub-district, A sub-district and C sub-district have overlapping covering relation as can be known by main overlay model, can judge that according to above condition A and C sub-district exist the adjacent area to leak the air distribution danger, promptly 0 grade is inserted risk.
General risk of handover algorithm process procedure declaration is as follows: referring to Fig. 4, certain regional quality risk sub-district is the D sub-district, and S1～S2 scope is matter difference zone, D sub-district.Suppose that S1～S2 sampling time is 10s, handoff failure required time T1+T2+T3 is 7s, and promptly the continuous matter difference time is greater than sub-district gravity treatment Time To Failure; All there are overlapping relation in A, B, C, E, five cell coverage areas of F with matter difference zone as can be known by main overlay model; Ordering is the last 6 during D sub-district matter difference; There are 6 grades in the time of can judging that according to above condition A, B, C, E and F sub-district switch to the D sub-district and insert risk.
Weak signal risk of handover algorithm process procedure declaration is as follows: please continue referring to Fig. 4, certain regional weak signal risk sub-district is the A sub-district, and S3～S4 scope is weak overlay area, A sub-district.Suppose that S3～S4 sampling time is 8s, it is 6s that required time T1+T2 is finished in the sub-district gravity treatment, and promptly the continuously weak cover time is greater than the sub-district gravity treatment deadline; All there are overlapping relation in B, C, D, E, five cell coverage areas of F with weak overlay area as can be known by main overlay model; Can judge that according to above condition A, B, C, E and F sub-district exist weak signal to insert risk when switching to the D sub-district, promptly 7 grades are inserted risk.
The simulation result of the access risk of one embodiment of the invention shows in the diagram that total sampling number is 706 as shown in Figure 8, and wherein having the sampling number of moderate gale danger is 208, and having the sampling number of strong gale danger (multiple rank risk stack is defined as 8 grades) is 595.The message box content shows that there are the access risk in cell-of-origin " gateway of the village, old room 1 ", " gateway of the village, old room 3 ", " Jin Ying road, old room 3 " gravity treatment to Target cell " Jin Ying road, old room 1 ".
Fig. 9 is a road network quality simulation method flow diagram of the present invention, and it can be realized by foregoing road network quality simulation system 100, may further comprise the steps at least:
Step S901, the road network frequency sweep data that preliminary treatment records, this step is realized by common data module 10.Concrete, it at first handles the frequency sweep data by data rasterizing module 11, obtains the data sequence under the different speed of a motor vehicle whereby; Obtain main coverage cell by the described data sequence of main overlay model module 12 computational analysis again, set up the overlapping overlay model in main plot; Calculate the risk sub-district by risk sub-district computing module 13 according to described frequency sweep data and sub-district overlay model at last.
Step S902, analytical calculation frequency sweep data obtain the quality simulation result of road network, and this step is realized by quality simulation module 20.Concrete, in conjunction with Figure 10, quality simulation module 20 can obtain risk of handover simulation result, risk of dropped calls simulation result and matter difference risk simulation result respectively by adopting the Active sort algorithm Treatment Analysis first input data, wherein, the first input data comprise frequency sweep data, TCH traffic data, Ericsson's handoff parameter, sub-district acquistion probability, the test speed of a motor vehicle and the terminal capabilities parameter of being obtained by common data module 10.Simultaneously, quality simulation module 20 also obtains inserting the risk simulation result by the Idle sort algorithm Treatment Analysis second input data, wherein, the second input data comprise frequency sweep data, the congested traffic data of SD, Ericsson's reselecting parameters, sub-district acquistion probability, the test speed of a motor vehicle and terminal capabilities parameter.
In sum, the present invention carries out preliminary treatment by the common data module to the frequency sweep data of sweep generator drive test, concrete, it handles the data sequence that obtains under the different speed of a motor vehicle by the data rasterizing module to the frequency sweep data, obtain overlapping overlay model in main plot and risk sub-district by main overlay model module and risk sub-district computing module respectively again, further, system calculates the quality simulation result of road network by the quality simulation module analysis according to the various data messages of common data module.Whereby, the present invention can search the various hidden danger of quality that road network exists by simulation algorithm, can improve network optimization stage work effect and efficient greatly.
Certainly; the present invention also can have other various embodiments; under the situation that does not deviate from spirit of the present invention and essence thereof; those of ordinary skill in the art work as can make various corresponding changes and distortion according to the present invention, but these corresponding changes and distortion all should belong to the protection range of the appended claim of the present invention.
Claims (10)
1. a road network quality simulation system is characterized in that, comprises at least:
The common data module, the road network frequency sweep data that are used for sweep generator is recorded are carried out preliminary treatment;
The quality simulation module is used for according to described pretreated frequency sweep data, and analytical calculation obtains the quality simulation result of road network.
2. road network quality simulation according to claim 1 system is characterized in that described common data module comprises:
The data rasterizing module is used for the frequency sweep data are handled, and obtains the data sequence under the different speed of a motor vehicle;
Main overlay model module is used for that described data sequence is carried out computational analysis and obtains main coverage cell, sets up the overlapping overlay model in main plot;
Risk sub-district computing module is used for calculating the risk sub-district according to described frequency sweep data and main overlay model.
3. road network quality simulation according to claim 1 system is characterized in that described quality simulation module comprises:
The risk of handover emulation module is used for the Treatment Analysis first input data and obtains the risk of handover simulation result;
The risk of dropped calls emulation module is used for the Treatment Analysis first input data and obtains the risk of dropped calls simulation result;
Matter difference risk emulation module is used for the Treatment Analysis first input data and obtains matter difference risk simulation result;
Insert the risk emulation module, be used for the Treatment Analysis second input data and obtain inserting the risk simulation result.
4. road network quality simulation according to claim 3 system, it is characterized in that, described risk of handover emulation module, risk of dropped calls emulation module and matter difference risk emulation module all adopt the Active sort algorithm, and the described first input data comprise frequency sweep data, TCH traffic data, Ericsson's handoff parameter, sub-district acquistion probability, the test speed of a motor vehicle and terminal capabilities parameter.
5. road network quality simulation according to claim 3 system, it is characterized in that, described access risk emulation module adopts the Idle sort algorithm, and the described second input data comprise frequency sweep data, the congested traffic data of SD, Ericsson's reselecting parameters, sub-district acquistion probability, the test speed of a motor vehicle and terminal capabilities parameter.
6. road network quality simulation method, by as claim 1～5 as described in each analogue system realize, it is characterized in that described method may further comprise the steps at least:
Data pre-treatment step: the road network frequency sweep data that preliminary treatment records;
Road network quality simulation step: the described frequency sweep data of analytical calculation obtain the quality simulation result of road network.
7. road network quality simulation method according to claim 6 is characterized in that, described data pre-treatment step further comprises:
Handle the frequency sweep data, obtain the data sequence under the different speed of a motor vehicle;
The described data sequence of computational analysis obtains main coverage cell, sets up the overlapping overlay model in main plot;
Calculate the risk sub-district according to described frequency sweep data and sub-district overlay model.
8. road network quality simulation method according to claim 6 is characterized in that, described quality simulation step further comprises:
The Treatment Analysis first input data obtain risk of handover simulation result, risk of dropped calls simulation result and matter difference risk simulation result respectively;
The Treatment Analysis second input data obtain inserting the risk simulation result.
9. road network quality simulation method according to claim 8, it is characterized in that, adopt the Active sort algorithm Treatment Analysis first input data, the described first input data comprise frequency sweep data, TCH traffic data, Ericsson's handoff parameter, sub-district acquistion probability, the test speed of a motor vehicle and terminal capabilities parameter.
10. road network quality simulation method according to claim 8, it is characterized in that, adopt the Idle sort algorithm Treatment Analysis second input data, the described second input data comprise frequency sweep data, the congested traffic data of SD, Ericsson's reselecting parameters, sub-district acquistion probability, the test speed of a motor vehicle and terminal capabilities parameter.
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| CN101925072A (en) * | 2009-06-12 | 2010-12-22 | 大唐移动通信设备有限公司 | Method and equipment for detecting coverage of reference mark channel |
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