CN102480741A - Wireless network planning simulation convergence decision method and apparatus thereof - Google Patents
Wireless network planning simulation convergence decision method and apparatus thereof Download PDFInfo
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- CN102480741A CN102480741A CN2010105633040A CN201010563304A CN102480741A CN 102480741 A CN102480741 A CN 102480741A CN 2010105633040 A CN2010105633040 A CN 2010105633040A CN 201010563304 A CN201010563304 A CN 201010563304A CN 102480741 A CN102480741 A CN 102480741A
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Abstract
The invention discloses a wireless network planning simulation convergence decision method and an apparatus thereof. By using the method and the apparatus of the invention, whether the wireless network planning simulation which takes scheduling as a core reaches a convergence state can be accurately determined. The wireless network planning simulation convergence decision method comprises the following steps: determining an average throughput change rate of each cell in each time statistics window; when the average throughput change rate of the each cell satisfies a preset convergence condition, determining that the wireless network planning simulation reaches the convergence state.
Description
Technical field
The present invention relates to wireless communication field, relate in particular to a kind of wireless network planning emulation convergence decision method and device.
Background technology
Wireless network planning has the meaning of directiveness for the networking of operator.Good wireless network planning can successfully be obtained good balance between the network coverage, capacity, quality and networking cost, aid operators is taked best embodiment in each stage of networking and upgrade expanding, realizes the maximization of its networking benefit.Wireless network planning emulation is the important component part of wireless network planning flow process; Through wireless network planning emulation; Utilize system emulation software can follow the tracks of the wireless network process; Output is tens kinds of wireless network performance indexs nearly, make operator can be comprehensively, well understand the wireless network quantity of operation, thereby carry out optimization work pointedly.Can obtain the part important performance characteristic of institute's planning wireless network through wireless network planning emulation,, actual networking had important guidance and reference function like pilot tone covering, best cell, system load, Zone switched etc.
In the prior art; Wireless network planning emulation is the basis with markov Monte Carlo (Monte Carlo) emulation (being called for short MCMC); The wireless network running environment that simulation is actual adopts the markov monte carlo simulation methodology to obtain the performance statistics result under the wireless network convergence state (being also referred to as stable state).Can react the performance of wireless network when having only wireless network planning emulation to reach convergence state preferably.The markov monte carlo simulation methodology is widely used in numerous areas such as biology, chemistry, information science, finance; It is a kind of important method of modern statistical modeling; Its core concept is through given stochastic variable initial distribution; Make it reach Stationary Distribution through the continuous iteration of certain rule, as final output result.Different wireless network planning emulation convergence decision methods is with the correctness that influences the wireless network planning simulation result greatly.Whether traditional wireless network planning emulation reaches the judgement foundation of convergence state with transmitting power as wireless network planning emulation mostly, and transmit power variation is then adjudicated wireless network planning emulation and reached convergence state in a small range time; Perhaps adjudicate, when wireless network planning emulation reaches maximum iteration time, then adjudicate wireless network planning emulation and reach convergence state with the maximum iteration time of wireless network planning emulation.The phase-split network topology effect of building thus.
Existing 3G standard is all based on CDMA technology, and cdma network is controlled to be core with power, and in the cdma network planning simulation, using the judgment condition of markov Monte Carlo Method emulation convergence is that the transmitting power of each network element reaches stable state in the network.
And LTE (Long Term Evolution; Long Term Evolution) and follow-up evolvement network, HSDPA (HighSpeed Downlink Packet Access; High speed downlink packet inserts) network etc.; Being scheduling to core, in the prior art based on transmitting power judgement wireless network planning emulation whether reach the method for convergence state and be not suitable for LTE and follow-up evolvement network, HSDPA network etc. to be scheduling to the wireless network of core.
Can know by above-mentioned analysis when carrying out wireless network planning emulation, how to judge whether the wireless network planning emulation to be scheduling to core reaches convergence state, become one of problem demanding prompt solution in the prior art.
Summary of the invention
The embodiment of the invention discloses a kind of network plan simulation convergence decision method and device, in order to realize to whether reach the accurate judgement of convergence state with the wireless network planning emulation that is scheduling to core.
A kind of wireless network planning emulation convergence decision method comprises:
Confirm in each time statistical window the average throughput rate of change of each sub-district;
When the average throughput rate of change of confirming each sub-district satisfies the predefined condition of convergence, judge that wireless network planning emulation reaches convergence state.
A kind of wireless network planning emulation convergence judgment device comprises:
Computing unit is used to confirm in each time statistical window the average throughput rate of change of each sub-district;
When identifying unit, the average throughput rate of change that is used to confirm each sub-district satisfy the predefined condition of convergence, judge that wireless network planning emulation reaches convergence state.
Wireless network planning emulation convergence decision method and device that the embodiment of the invention provides; At first confirm in each time statistical window; The average throughput rate of change of each sub-district; When the average throughput rate of change in each sub-district satisfies the predefined condition of convergence, judge that promptly wireless network planning emulation reaches convergence state.To be scheduling to the wireless network planning emulation of core; Based on the time statistical window; Judgment condition is that the throughput of each sub-district reaches stable state in the network; Can reflect more accurately to be scheduling to the wireless network situation of core, realize whether reach the accurate judgement of convergence state with the wireless network planning emulation that is scheduling to core.
Other features and advantages of the present invention will be set forth in specification subsequently, and, partly from specification, become obvious, perhaps understand through embodiment of the present invention.The object of the invention can be realized through the structure that in the specification of being write, claims and accompanying drawing, is particularly pointed out and obtained with other advantages.
Description of drawings
Fig. 1 is in the prior art, the variation tendency sketch map of the descending average throughput of the cell coverage area that Radio Network System emulation obtains;
Fig. 2 is in the prior art, the variation tendency sketch map of the up average throughput of the cell coverage area that Radio Network System emulation obtains;
Fig. 3 is in the embodiment of the invention, wireless network planning emulation convergence decision method flow chart;
Fig. 4 is in the embodiment of the invention, a kind of possibility structured flowchart of wireless network planning emulation convergence judgment device;
Fig. 5 is in the embodiment of the invention, judges whether the average throughput rate of change of a certain sub-district reaches the implementation method flow chart of convergence state;
Fig. 6 is in the embodiment of the invention, the implementing procedure figure of LTE network plan simulation convergence decision method.
Embodiment
In order to realize that to whether reach the accurate judgement of convergence state with the wireless network planning emulation that is scheduling to core the embodiment of the invention provides a kind of wireless network planning emulation convergence decision method and device.Wireless network planning emulation decision method and device that the embodiment of the invention provides are applicable to that HSDPA network, LTE and follow-up evolvement network thereof etc. are to be scheduling to the wireless network of core.
In with the wireless network planning emulation that is scheduling to core, using the judgment condition of markov Monte Carlo Method emulation convergence is that the throughput of each sub-district reaches stable state in the network.Based on this, the embodiment of the invention provides a kind of wireless network planning emulation convergence decision method and device of the average throughput rate of change based on the sub-district.
Below in conjunction with Figure of description the preferred embodiments of the present invention are described; Be to be understood that; Preferred embodiment described herein only is used for explanation and explains the present invention; And be not used in qualification the present invention, and under the situation of not conflicting, embodiment and the characteristic among the embodiment among the present invention can make up each other.
Radio Network System emulation is the basis of wireless network planning emulation, and Radio Network System emulation is generally used for the checking of dispatching algorithm; Wireless network planning emulation is used for when networking, carries out network planning checking.The convergence checking of Radio Network System emulation can be explained two problems: the first, the convergence of wireless network planning emulation exists; The second, the convergence of wireless network planning emulation is necessary.As shown in table 1, be the checking result of Radio Network System emulation:
Table 1
As shown in Figure 1; Variation tendency for the descending average throughput of cell coverage area; Abscissa is TTI (Transmission Time Interval); Ordinate is descending average throughput, can find out that the variation tendency of the descending average throughput of cell coverage area is close to straight line, explains that the descending average throughput of cell coverage area is restrained.Cell coverage area is meant the Zone Full that the sub-district covers, and comprises center of housing estate and cell edge.As shown in Figure 2; Be the variation tendency of the up average throughput of cell coverage area, abscissa is TTI, and ordinate is up average throughput; Can find out from the up average throughput curve of cell coverage area; In preceding 100TTI, change obviously, this is because ascending power is limited, simultaneously cell coverage area RB (Resource Block; RB is a radio resource units, is used for carrying user data) can not accomplish distribution, caused uplink interference; But in subsequent TTI, the up average throughput rate of change of cell coverage area is fixed on about 3%, therefore can assert that the up average throughput of cell coverage area is tending towards restraining.Need to prove, do not comprise the statistics of warm-up phase among Fig. 1 and Fig. 2.
Can find out that from Fig. 1 and Fig. 2 the average throughput of cell coverage area is tending towards restraining; This is because when scheduling and resource allocation reached stable state, it is stable that system loading reaches, and the average throughput of cell coverage area is bound to restrain, otherwise system just plays pendulum; And under certain dispatching algorithm, through long-term statistics, the average throughput of final cell coverage area is tending towards a stationary value, and this also is that real system is desired.
As shown in Figure 3, the implementing procedure of the wireless network planning emulation convergence decision method that the embodiment of the invention provides comprises the steps:
S301, confirm in each time statistical window the average throughput rate of change of each sub-district;
When S302, the average throughput rate of change of confirming each sub-district satisfy the predefined condition of convergence, judge that wireless network planning emulation reaches convergence state.
Concrete; The wireless network planning emulation convergence decision method that the embodiment of the invention provides is that a time statistical window is all set in each sub-district in the wireless network; The condition of convergence that the average throughput rate of change of each sub-district satisfies can comprise: in the time statistical window of continuous setting quantity (for example in the continuous N time statistical window), the average throughput rate of change of each sub-district all is in the predefined rate of change interval.Special; The average throughput rate of change of each sub-district all is in the predefined rate of change interval; The average throughput rate of change that is meant all sub-districts of wireless network planning emulation all is in the predefined rate of change interval, and promptly all sub-districts all reach convergence state.
Wherein, the time statistical window is by the quantitaes of TTI (Transmission Time Interval), is the statistics duration that is used to calculate the average throughput of each sub-district.If the quantity of the TTI that the time statistical window is corresponding is more, i.e. time statistical window setting is bigger, helps wireless network planning emulation and reaches convergence state fast, but can reduce the accuracy that wireless network planning emulation restrains decision method; If the negligible amounts of the TTI that the time statistical window is corresponding, promptly the time statistical window is provided with lessly, and it is slower that wireless network planning emulation reaches convergence state, but can promote the accuracy of wireless network planning emulation convergence decision method.Through a large amount of Radio Network System emulation, preferable, the TTI that the time statistical window is corresponding sets numerical value and is generally: greater than zero and smaller or equal to 1/20 of the maximum iteration time of wireless network planning emulation, said maximum iteration time is not less than 20.For example, can set each time statistical window and comprise the individual TTI of 10 (supposing that maximum iteration time is greater than 200), if each TTI is 0.05ms, the statistics duration of the average throughput of each sub-district is 0.05*10=0.5ms so.
In the practical implementation; When judging whether wireless network planning emulation reaches convergence state; The average throughput rate of change of sub-district can be represented with the average throughput rate of change of cell coverage area; Promptly in the time statistical window of continuous setting quantity, when the average throughput rate of change of all cell coverage areas all is in the predefined rate of change interval, judge that then wireless network planning emulation reaches convergence state.Preferable; Also can combine the average throughput rate of change of cell edge to represent the average throughput rate of change of sub-district; Promptly in the time statistical window of continuous setting quantity; When the average throughput rate of change of all cell coverage areas and cell edge all is in the predefined rate of change interval, judge that then wireless network planning emulation reaches convergence state.
Concrete, the average throughput of cell coverage area is in the time statistical window: the throughput sum of this cell coverage area in all TTI that the current time statistical window comprises, the ratio of the quantity of the TTI that comprises with the current time statistical window; And the average throughput of cell edge is in the time statistical window: the throughput sum of this cell edge in all TTI that the current time statistical window comprises, the ratio of the quantity of the TTI that comprises with the current time statistical window.
Wherein, the computational methods of the throughput of each cell coverage area and the throughput of cell edge are identical with the computational methods of cell throughout in the prior art, and the computational methods of the throughput of cell coverage area are all users' in the sub-district throughput sums.The computational methods of the throughput of cell edge are the throughput sums of Cell Edge User.Cell edge is meant the borderline region in the cell coverage area, when confirming the throughput of cell edge, only considers Cell Edge User.Sub-district, the limit edge user here is meant the user of wireless network access speed in back 5%; In general, Cell Edge User be in usually cell edge or cell edge near.
Based on this; The average throughput rate of change of cell coverage area is in the time statistical window: the absolute difference of the average throughput of this cell coverage area in the average throughput of this cell coverage area and the last time statistical window in the current time statistical window; Perhaps, the ratio of the average throughput of this cell coverage area in the average throughput of this cell coverage area and the last time statistical window in the current time statistical window.The average throughput rate of change of cell edge and the average throughput rate of change of cell coverage area confirm that method is similar; The average throughput rate of change of cell edge is in the time statistical window: the absolute difference of the average throughput of this cell edge in the average throughput of this cell edge and the last time statistical window in the current time statistical window; Perhaps, the ratio of the average throughput of this cell edge in the average throughput of this cell edge and the last time statistical window in the current time statistical window.
Accordingly; If when representing the average throughput rate of change of cell coverage area or cell edge with the absolute difference of the average throughput of this cell coverage area or cell edge in the average throughput of this cell coverage area or cell edge in the current time statistical window and the last time statistical window, the average throughput rate of change of cell coverage area or cell edge be in the predefined rate of change interval can for: the average throughput rate of change of cell coverage area or cell edge is not more than predefined rate of change threshold value.If with the average throughput of this cell coverage area or cell edge in the average throughput of this cell coverage area or cell edge in the current time statistical window and the last time statistical window recently represent the average throughput rate of change of cell coverage area or cell edge the time, the average throughput rate of change of cell coverage area or cell edge be in the predefined rate of change interval can for: the average throughput rate of change of cell coverage area or cell edge be in a certain predefined be in the rate of change interval at center with 1.
In the practical implementation because the wireless network initial state is extremely unstable, if should be in period the emulation of judgement wireless network planning whether to reach convergence state meaningless even mistake can occur.Wireless network in this period is normally dispatched, and this process is called warm, does not judge in the warm whether wireless network planning emulation reaches convergence state, has avoided the wireless network operation just can reach the un-reasonable phenomenon of convergence state several times like this.Therefore, wireless network planning emulation convergence decision method can also comprise:
Confirm that in each time statistical window before the average throughput rate of change of each sub-district, the preheating duration according to wireless network carries out the wireless network preheating.Wherein, the preheating duration of wireless network is by the quantitaes of TTI, and the TTI that the preheating duration is corresponding sets numerical value more than or equal to the recommended value that obtains through system emulation and smaller or equal to 1/2 of the maximum iteration time of wireless network planning emulation.
Describe in the face of the implementation process of confirming the average throughput rate of change of cell coverage area in the embodiment of the invention down; Average throughput rate of change with each sub-district in the embodiment of the invention is that example describes for " absolute difference of the average throughput of interior this cell coverage area of the average throughput of this cell coverage area and a last time statistical window in the current time statistical window ", and preestablishes the rate of change threshold value.
Set each time statistical window and comprise W
SIndividual TTI, maximum iteration time is W
MIWherein, W
SSpan be 0＜W
S＜0.05W
MI
Setting in the time statistical window of quantity continuously in order to calculate, the average throughput rate of change of each cell coverage area at first need calculate in each time statistical window the average throughput of each cell coverage area.
Suppose to have N sub-district, the throughput of each cell coverage area is respectively in first TTI
, the throughput of second interior each cell coverage area of TTI is respectively
, and the like, W
SThe throughput of each cell coverage area is respectively in the individual TTI
, to set in i time statistical window of sub-district j, the average throughput of cell coverage area does
, then
Set in the individual time statistical window of sub-district j (i-1); The average throughput of cell coverage area is η for
predefined rate of change threshold value; The average throughput rate of change of cell coverage area be
in i time statistical window, adjudicate so interior this cell coverage area of i time statistical window reach convergence state condition is
It is similar with the method whether each cell coverage area of judgement reaches convergence state to adjudicate the method whether each cell edge reach convergence state; Just in calculating each time statistical window in all TTI during the throughput of each cell edge; Only consider Cell Edge User, repeat no more here.
Setting in the time statistical window of quantity continuously, when the average throughput rate of change of each cell coverage area all was not more than rate of change threshold value η, then the decision network planning simulation reached convergence state.Perhaps, setting in the time statistical window of quantity continuously, when the average throughput rate of change of each cell coverage area and cell edge all was not more than rate of change threshold value η, then the decision network planning simulation reached convergence state.
Based on same inventive concept; The embodiment of the invention also provides a kind of wireless network planning emulation convergence judgment device; Because the principle of this device solves technical problem is similar with wireless network planning emulation convergence decision method; Therefore the enforcement of this device can repeat part and repeat no more referring to the enforcement of method.
As shown in Figure 4, a kind of possibility structure of the wireless network planning emulation convergence judgment device that the embodiment of the invention provides comprises:
Confirm unit 401, be used to confirm in each time statistical window the average throughput rate of change of each sub-district;
When identifying unit 402, the average throughput rate of change that is used to confirm each sub-district satisfy the predefined condition of convergence, judge that wireless network planning emulation reaches convergence state.
Concrete, the predefined condition of convergence comprises in the identifying unit 402: in the time statistical window of continuous setting quantity, the average throughput rate of change of each sub-district all is in the predefined rate of change interval.
In the practical implementation, the average throughput rate of change of sub-district can comprise the average throughput rate of change of cell coverage area; And
Confirm unit 401; Specifically be used for confirming the average throughput rate of change of each cell coverage area according to the absolute difference of the average throughput of this cell coverage area in the average throughput of this cell coverage area in the current time statistical window and the last time statistical window; Perhaps, confirm the average throughput rate of change of each cell coverage area according to the ratio of the average throughput of this cell coverage area in the average throughput of this cell coverage area in the current time statistical window and the last time statistical window.
In the practical implementation, the average throughput rate of change of sub-district can also comprise: the average throughput rate of change of cell edge; And
Confirm unit 401; Also specifically be used for confirming the average throughput rate of change of each cell edge according to the absolute difference of the average throughput of this cell edge in the average throughput of this cell edge in the current time statistical window and the last time statistical window; Perhaps, confirm the average throughput rate of change of each cell edge according to the ratio of the average throughput of this cell edge in the average throughput of this cell edge in the current time statistical window and the last time statistical window.
In the practical implementation, the wireless network planning simulator can also comprise:
The execution mode of embodiment describes the embodiment of the embodiment of the invention through concrete embodiment below for a better understanding of the present invention.For the ease of describing, in the following embodiment of the invention, judge when wireless network planning emulation reaches convergence state, only consider the average throughput rate of change of cell coverage area.The setting quantity of continuous time statistical window is M, and the wireless network that relates to is an example with the LTE network.
As shown in Figure 5, for whether the average throughput rate of change of judging a certain sub-district reaches the implementation method flow chart of convergence state, comprise the steps:
S501, carry out scheduling and resource allocation in the TTI (Transmission Time Interval);
S502, the TTI statistic that the preheating duration is corresponding increase by 1;
In the practical implementation, can add up the preheating duration through the mode of TTI statistic, TTI statistic when initialization that the preheating duration is corresponding is changed to zero, whenever carries out scheduling and resource allocation in the TTI, and the TTI statistic just increases by 1.
Whether the TTI statistic that S503, preheating duration are corresponding reaches the corresponding TTI of preheating duration is set numerical value, if, execution in step S504 then, otherwise, execution in step S501;
Concrete, the preheating duration is by the quantitaes of TTI, and wherein, the TTI that the preheating duration is corresponding sets numerical value more than or equal to the recommended value that obtains through system emulation and smaller or equal to 1/2 of the maximum iteration time of wireless network planning emulation.
S504, carry out scheduling and resource allocation in the TTI;
S505, the TTI statistic that the time statistical window is corresponding increase by 1;
Concrete; Can come the statistics duration of timing statistics statistical window through the mode of TTI statistic; TTI statistic when initialization that the time statistical window is corresponding is changed to zero, whenever carries out scheduling and resource allocation in the TTI, and the TTI statistic that the time statistical window is corresponding just increases by 1.
Whether the TTI statistic that S506, time statistical window is corresponding reaches the corresponding TTI of time statistical window is set numerical value, if, execution in step S507 then, otherwise execution in step S504;
In the practical implementation, the time statistical window is by the quantitaes of TTI, and wherein, the TTI that the time statistical window is corresponding sets numerical value greater than zero and smaller or equal to 1/20 of the maximum iteration time of wireless network planning emulation, said maximum iteration time is not less than 20.
The average throughput of cell coverage area in S507, the generation current time statistical window;
S508, whether the average throughput of the cell coverage area in a preceding continuous N time statistical window has been arranged, if, execution in step S509 then, otherwise, execution in step S504;
The average throughput of this cell coverage area in S509, the average throughput that uses this cell coverage area in a preceding continuous N time statistical window and the current time statistical window; Calculate in the continuous N time statistical window average throughput rate of change of cell coverage area;
Concrete; The average throughput rate of change of cell coverage area can be the absolute difference of the average throughput of this cell coverage area in a current time statistical window and the last time statistical window in the time statistical window; Also can be the ratio of the average throughput of this cell coverage area in current time statistical window and the last time statistical window; Thus, can obtain the average throughput rate of change of this cell coverage area in the continuous N time statistical window by the average throughput (average throughput of this cell coverage area in the time statistical window of continuous N+1) of this cell coverage area in the average throughput of this cell coverage area in a preceding continuous N time statistical window and the current time statistical window;
S510, judge in a continuous N time statistical window, whether the average throughput rate of change of this cell coverage area all is in the predefined rate of change interval, if, execution in step S511 then, otherwise execution in step S504;
S511, judge that the average throughput rate of change of this sub-district reaches convergence state.
As shown in Figure 6, the implementing procedure of the LTE network plan simulation convergence decision method that the embodiment of the invention provides comprises the steps:
S601, carry out scheduling and resource allocation in the TTI;
S602, the TTI statistic that the preheating duration is corresponding increase by 1;
Whether the TTI statistic that S603, preheating duration are corresponding reaches the corresponding TTI of preheating duration is set numerical value, if, execution in step S604 then, otherwise, execution in step S601;
S604, startup wireless network planning emulation convergence are judged;
S605, judge in a continuous N time statistical window, whether the average throughput rate of change of each cell coverage area all is in the predefined rate of change interval, if, execution in step S608 then; Otherwise, execution in step S606;
S606, carry out scheduling and resource allocation in the next TTI;
Whether the iterations of S607, wireless network planning emulation reaches the maximum iteration time that is provided with in advance, if, execution in step S608, otherwise, execution in step S605;
S608, flow process finish.
In the practical implementation; If before wireless network planning iteration of simulations number of times does not reach the maximum iteration time that is provided with in advance; All cell coverage areas all reach convergence state, judge that then wireless network planning emulation reaches convergence state, and wireless network planning emulation convergence this moment determination flow finishes; If reach the maximum iteration time of setting in advance at wireless network planning iteration of simulations number of times after; Do not satisfy the condition that all cell coverage areas all reach convergence state; Then think wireless network planning emulation near convergence state, wireless network planning emulation convergence this moment determination flow finishes.
Wireless network planning emulation convergence decision method and device that the embodiment of the invention provides; At first confirm in each time statistical window; The average throughput rate of change of each sub-district; When the average throughput rate of change in each sub-district satisfies the predefined condition of convergence, judge that promptly wireless network planning emulation reaches convergence state.To be scheduling to the wireless network planning emulation of core; Based on the time statistical window; Judgment condition is that the throughput of each sub-district reaches stable state in the network; Can reflect more accurately to be scheduling to the wireless network situation of core, realize whether reach the accurate judgement of convergence state with the wireless network planning emulation that is scheduling to core.
Obviously, those skilled in the art can carry out various changes and modification to the present invention and not break away from the spirit and scope of the present invention.Like this, belong within the scope of claim of the present invention and equivalent technologies thereof if of the present invention these are revised with modification, then the present invention also is intended to comprise these changes and modification interior.
Claims (13)
1. a wireless network planning emulation convergence decision method is characterized in that, comprising:
Confirm in each time statistical window the average throughput rate of change of each sub-district;
When the average throughput rate of change of confirming each sub-district satisfies the predefined condition of convergence, judge that wireless network planning emulation reaches convergence state.
2. the method for claim 1 is characterized in that, the said condition of convergence comprises: in the time statistical window of continuous setting quantity, the average throughput rate of change of each sub-district all is in the predefined rate of change interval.
3. according to claim 1 or claim 2 method is characterized in that the average throughput rate of change of sub-district comprises the average throughput rate of change of cell coverage area; And
The average throughput rate of change of cell coverage area is in the time statistical window: the absolute difference of the average throughput of this cell coverage area in the average throughput of this cell coverage area and the last time statistical window in the current time statistical window; Perhaps, the ratio of the average throughput of this cell coverage area in the average throughput of this cell coverage area and the last time statistical window in the current time statistical window.
4. method as claimed in claim 3 is characterized in that, the average throughput rate of change of sub-district also comprises: the average throughput rate of change of cell edge; And
The average throughput rate of change of cell edge is in the time statistical window: the absolute difference of the average throughput of this cell edge in the average throughput of this cell edge and the last time statistical window in the current time statistical window; Perhaps, the ratio of the average throughput of this cell edge in the average throughput of this cell edge and the last time statistical window in the current time statistical window.
5. method as claimed in claim 4 is characterized in that,
The average throughput of cell coverage area is in the time statistical window: the throughput sum of this cell coverage area in all TTI that the current time statistical window comprises, the ratio of the quantity of the TTI that comprises with the current time statistical window;
The average throughput of cell edge is in the time statistical window: the throughput sum of this cell edge in all TTI that the current time statistical window comprises, the ratio of the quantity of the TTI that comprises with the current time statistical window.
6. the method for claim 1; It is characterized in that; Said time statistical window is by the quantitaes of Transmission Time Interval TTI; Wherein, the TTI that the time statistical window is corresponding sets numerical value greater than zero and smaller or equal to 1/20 of the maximum iteration time of wireless network planning emulation, said maximum iteration time is not less than 20.
7. the method for claim 1 is characterized in that, also comprises:
Confirm that in each time statistical window before the average throughput rate of change of each sub-district, the preheating duration according to wireless network carries out the wireless network preheating.
8. method as claimed in claim 7; It is characterized in that; The preheating duration of said wireless network is by the quantitaes of Transmission Time Interval TTI; Wherein, the TTI that the preheating duration is corresponding sets numerical value more than or equal to the recommended value that obtains through system emulation and smaller or equal to 1/2 of the maximum iteration time of wireless network planning emulation.
9. a wireless network planning emulation convergence judgment device is characterized in that, comprising:
Confirm the unit, be used to confirm in each time statistical window the average throughput rate of change of each sub-district;
When identifying unit, the average throughput rate of change that is used to confirm each sub-district satisfy the predefined condition of convergence, judge that wireless network planning emulation reaches convergence state.
10. device as claimed in claim 9 is characterized in that,
The predefined condition of convergence comprises in the said identifying unit: in the time statistical window of continuous setting quantity, the average throughput rate of change of each sub-district all is in the predefined rate of change interval.
11., it is characterized in that the average throughput rate of change of sub-district comprises the average throughput rate of change of cell coverage area like claim 9 or 10 described devices; And
Said definite unit; Specifically be used for confirming the average throughput rate of change of each cell coverage area according to the absolute difference of the average throughput of this cell coverage area in the average throughput of this cell coverage area in the current time statistical window and the last time statistical window; Perhaps, confirm the average throughput rate of change of each cell coverage area according to the ratio of the average throughput of this cell coverage area in the average throughput of this cell coverage area in the current time statistical window and the last time statistical window.
12. device as claimed in claim 11 is characterized in that, the average throughput rate of change of sub-district also comprises: the average throughput rate of change of cell edge; And
Said definite unit; Also specifically be used for confirming the average throughput rate of change of each cell edge according to the absolute difference of the average throughput of this cell edge in the average throughput of this cell edge in the current time statistical window and the last time statistical window; Perhaps, confirm the average throughput rate of change of each cell edge according to the ratio of the average throughput of this cell edge in the average throughput of this cell edge in the current time statistical window and the last time statistical window.
13. device as claimed in claim 9 is characterized in that, also comprises:
Pretreatment unit is used for the preheating duration according to wireless network, carries out after the wireless network preheating, triggers said definite unit.
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