CN111490889A - Method and device for estimating wireless service growth - Google Patents
Method and device for estimating wireless service growth Download PDFInfo
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Abstract
The embodiment of the invention discloses a method and a device for estimating the growth of a wireless service, wherein the method comprises the following steps: calculating the self-busy hour mean index of a single cell for a preset number of days before and after the continuity and the self-busy hour index of a preset number of days after the continuity according to the original data of the wireless service, and further calculating to obtain the cell meeting capacity expansion in the current network and the frequency meeting the capacity expansion within the preset number of days after the cell meeting the capacity expansion; acquiring a target cell which does not meet the capacity expansion in the current network according to the frequency and the cell which meets the capacity expansion, calculating the increase rate of each index of the target cell, and calculating the cell increase rate of the target cell according to the increase rate of each index of the target cell; and estimating the wireless service growth according to the cell growth rate. The cell indexes are calculated through the original data, the estimated data are closer to the real level of the network, and the estimation accuracy is high; differentiation of different scenes can be embodied by calculating indexes of preset days before and after continuous of a single cell; the wireless service growth is estimated through the growth rate, the estimation efficiency can be greatly improved, and the time consumption is reduced.
Description
Technical Field
The embodiment of the invention relates to the technical field of communication, in particular to a wireless service growth pre-estimation method and a wireless service growth pre-estimation device.
Background
At present, a network model estimation method without effective estimation of service increment generally adopts a simple linear growth rate to directly multiply the current network index for service growth estimation.
However, the method is too simple, data is difficult to predict or the accuracy of the predicted data is too low, the wireless service after increment cannot be predicted accurately, and index prediction needs to be carried out again; the real service situation is not considered, and the differential processing of different service scenes of the whole network is not realized; the incremental indexes are unbalanced and not close to the actual condition of the existing network; meanwhile, the time consumption is high, and the efficiency is low.
Disclosure of Invention
Because the existing method has the problems, the embodiment of the invention provides a wireless service growth estimation method and a wireless service growth estimation device.
In a first aspect, an embodiment of the present invention provides a method for estimating a wireless service growth, including:
calculating the self-busy hour mean index of a single cell before and after continuous preset days and the self-busy hour index of a single cell after continuous preset days according to the original data of the wireless service;
calculating according to the self-busy hour mean index and the post-self-busy hour index to obtain a cell which satisfies capacity expansion in the existing network and the frequency of satisfying capacity expansion within preset days after the cell satisfying capacity expansion;
acquiring a target cell which does not meet the capacity expansion in the current network according to the frequency and the cell meeting the capacity expansion, calculating the increase rate of each index of the target cell, and calculating the cell increase rate of the target cell according to the increase rate of each index of the target cell;
and estimating the wireless service growth according to the cell growth rate of the target cell.
Optionally, the performing of the wireless service growth prediction according to the cell growth rate of the target cell specifically includes:
if the cell growth rate of the target cell is judged to be less than or equal to 1 or null, not performing wireless service growth estimation on the cell growth rate of the target cell;
and classifying the target cells according to the maximum growth rate of the cells, and respectively performing wireless service growth prediction on the cell growth rate of each type of target cells according to the classified types.
Optionally, the method further comprises:
acquiring the estimated wireless service indexes, matching in a current network index database according to the wireless service indexes, and carrying out arithmetic average calculation on all matched indexes of all cells to obtain a matching result;
updating the cell capacity expansion rule according to the matching result, and sequencing the cells of the current network according to the cell capacity expansion rule so as to determine the cell with the capacity expansion priority.
Optionally, the index of the cell includes: an effective RRC (Radio Resource Control) connection average, an uplink PRB (Physical Resource Block) utilization rate, a downlink PRB utilization rate, a CCE (Control Channel Element) utilization rate, an uplink traffic, a downlink traffic, and an E-RAB (evolved Radio Access Bearer) establishment success number.
In a second aspect, an embodiment of the present invention further provides a wireless service growth prediction apparatus, including:
the index calculation module is used for calculating the self-busy hour mean index of the single cell before and after continuous preset days and the self-busy hour index of the single cell after the continuous preset days according to the original data of the wireless service;
the frequency calculation module is used for calculating and obtaining a cell which meets capacity expansion in the existing network and the frequency which meets the capacity expansion within preset days after the cell which meets the capacity expansion according to the self-busy hour mean index and the post-self-busy hour index;
a growth rate calculation module, configured to obtain a target cell that does not meet capacity expansion in an existing network according to the frequency and the cell that meets capacity expansion, calculate a growth rate of each indicator of the target cell, and calculate a cell growth rate of the target cell according to the growth rate of each indicator of the target cell;
and the growth pre-estimation module is used for pre-estimating the growth of the wireless service according to the cell growth rate of the target cell.
Optionally, the growth prediction module is specifically configured to:
if the cell growth rate of the target cell is judged to be less than or equal to 1 or null, not performing wireless service growth estimation on the cell growth rate of the target cell;
and classifying the target cells according to the maximum growth rate of the cells, and respectively performing wireless service growth prediction on the cell growth rate of each type of target cells according to the classified types.
Optionally, the apparatus further comprises:
the cell matching module is used for acquiring the estimated wireless service indexes, matching the wireless service indexes in the current network index database according to the wireless service indexes, and performing arithmetic average calculation on all matched indexes of all cells to obtain a matching result;
and the capacity expansion cell determining module is used for updating the cell capacity expansion rule according to the matching result and sequencing the cells of the current network according to the cell capacity expansion rule so as to determine the cell with the priority of capacity expansion.
Optionally, the index of the cell includes: the effective radio resource control RRC connection average number, the utilization rate of an uplink physical resource block PRB, the utilization rate of a downlink PRB, the utilization rate of a control channel element CCE, the uplink flow, the downlink flow and the successful times of establishment of an evolved radio access bearer E-RAB.
In a third aspect, an embodiment of the present invention further provides an electronic device, including:
at least one processor; and
at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor, which when called by the processor are capable of performing the above-described methods.
In a fourth aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium storing a computer program, which causes the computer to execute the above method.
According to the technical scheme, the method and the device for estimating the self-busy hour mean value index and the self-busy hour index of the single cell in the self-busy hour mean value and the self-busy hour index after the preset days are calculated according to the original data of the wireless service, the target cell which does not meet the capacity expansion in the current network is obtained, and the wireless service growth estimation is carried out by calculating the cell growth rate of the target cell; the cell indexes are calculated through the original data, the estimated data are closer to the real level of the network, and the estimation accuracy is high; differentiation of different scenes can be embodied by calculating indexes of preset days before and after continuous of a single cell; the wireless service growth is estimated through the growth rate, the estimation efficiency can be greatly improved, and the time consumption is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for estimating wireless service growth according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a method for estimating wireless service growth according to another embodiment of the present invention;
fig. 3 is a schematic diagram of a calculation process of daily cell capacity increase estimation according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a wireless service growth prediction apparatus according to an embodiment of the present invention;
fig. 5 is a logic block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The following further describes embodiments of the present invention with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Fig. 1 shows a flow diagram of a wireless service growth prediction method provided in this embodiment, including:
s101, calculating a self busy hour mean index of a single cell before and after continuous preset days and a self busy hour index of a single cell after continuous preset days according to original data of wireless services.
Wherein the cell indicators include: effective RRC connection average number, uplink PRB utilization rate, downlink PRB utilization rate, CCE utilization rate, uplink flow, downlink flow and E-RAB establishment success times.
For example, as shown in fig. 2, the increment of the whole network is used as linearity, the average index of the self busy hours of the cells in the previous and next 7 days is calculated to obtain the growth rate, the cells can be classified according to the maximum growth rate index item, the growth rate of the increment maximum index item is used as the cell growth rate, and the index value of each type of cell corresponding classification is obtained after the cell growth rate is taken in, the index after the increment is matched, and the existing network database is searched to obtain the total index.
Specifically, the input data is used as the original data, and the self busy hour mean indexes of the single cell for 7 days before and after continuous operation are respectively calculated. The time difference between the front and the back is the difference between the estimated time and the back, for example, the first week of 5 months is used to estimate the growth rate of 6 months, namely, the data of 4 months in the front and the data of 5 months in the back, and the time difference is one month.
S102, calculating according to the self-busy hour mean index and the post-self-busy hour index to obtain a cell which satisfies capacity expansion in the existing network and the frequency of satisfying capacity expansion within preset days after the cell satisfies the capacity expansion.
Specifically, the self busy hour index and the self busy hour mean index of the next 7 days use a preset capacity expansion rule to calculate the cell of the current network which meets the capacity expansion and the frequency of meeting the capacity expansion in the cell within 7 days.
S103, acquiring a target cell which does not meet the capacity expansion in the current network according to the frequency and the cell meeting the capacity expansion, calculating the increase rate of each index of the target cell, and calculating the cell increase rate of the target cell according to the increase rate of each index of the target cell.
Specifically, for cells which do not satisfy the capacity expansion and do not satisfy the rule frequency within 7 days, the growth rate B in the following indexes is calculated by taking the cells as a unit: the effective RRC connection average number, the utilization rate of the uplink PRB, the utilization rate of the downlink PRB, the utilization rate of the CCE, the uplink flow and the downlink flow, and the increase rate B of each index is the average value of the last 7 days from busy hours/the average value of the first 7 days from busy hours.
As shown in fig. 3, a cell growth rate a, Max (B) is calculatedEffective RRC connection averaging，BUplink PRB utilization，BDownlink PRB utilization，BCCE utilization，BUpstream flow，BDownstream traffic) Wherein: b isEffective RRC connection averagingThe average number of the RCC connections in the last 7 days of the same cell from the busy hour/the average number of the RCC connections in the first 7 days from the busy hour; b isUplink PRB utilizationThe utilization rate of the uplink PRB in the last 7 days of the same cell from busy hour/the utilization rate of the uplink PRB in the first 7 days from busy hour; b isDownlink PRB utilizationThe utilization rate of the downlink PRB in the last 7 days of the same cell from busy hour/the utilization rate of the downlink PRB in the first 7 days from busy hour; b isCCE utilizationThe CCE utilization rate is the last 7 days of the same cell from busy hour/the CCE utilization rate is the first 7 days of the same cell from busy hour; b isUpstream flowThe uplink flow is the uplink flow of the same cell in the last 7 days from busy hour/the uplink flow of the same cell in the first 7 days from busy hour; b isDownstream trafficThe downlink traffic of the same cell in the last 7 days from busy hour/the downlink traffic of the same cell in the first 7 days from busy hour.
And S104, estimating the wireless service growth according to the cell growth rate of the target cell.
Specifically, the wireless service growth is estimated through the cell growth rate A of the target cell which is calculated quantitatively.
The method comprises the steps of calculating a self-busy hour mean index and a self-busy hour index after a preset number of days before and after a single cell is continuous according to original data of the wireless service to obtain a target cell which does not meet capacity expansion in the current network, and performing wireless service growth estimation by calculating a cell growth rate of the target cell; the cell indexes are calculated through the original data, the estimated data are closer to the real level of the network, and the estimation accuracy is high; differentiation of different scenes can be embodied by calculating indexes of preset days before and after continuous of a single cell; the wireless service growth is estimated through the growth rate, the estimation efficiency can be greatly improved, and the time consumption is reduced.
Further, on the basis of the above method embodiment, S104 specifically includes:
if the cell growth rate of the target cell is judged to be less than or equal to 1 or null, not performing wireless service growth estimation on the cell growth rate of the target cell;
and classifying the target cells according to the maximum growth rate of the cells, and respectively performing wireless service growth prediction on the cell growth rate of each type of target cells according to the classified types.
Specifically, each cell is classified into six types according to the indexes (the effective RRC connection average, the uplink PRB utilization rate, the downlink PRB utilization rate, the CCE utilization rate, the uplink traffic, and the downlink traffic) corresponding to the cell growth rate a, as shown in fig. 3. And (4) not estimating the cells in which A is 1 or null value. It should be noted that for the temporary non-capacity-increase rate estimation with no or negative increase, the cell with null value of the latter 7 days index is not in the first 7 days or the index is 0.
The method comprises the steps of calculating an increased index by type by taking a cell as a unit, wherein the increased index is an index item value corresponding to the A × type cell, wherein 1-bit decimal is reserved on the average number of effective RRC connections, 2-bit decimal is reserved on the utilization rate of uplink PRBs, the utilization rate of downlink PRBs and the utilization rate of CCEs, and rounding is carried out on uplink flow and downlink flow by taking MB as a unit.
Further, on the basis of the above embodiment of the method, the method further comprises:
s105, acquiring the estimated wireless service indexes, matching in the existing network index database according to the wireless service indexes, and carrying out arithmetic average calculation on all matched indexes of all cells to obtain a matching result;
and S106, updating the cell capacity expansion rule according to the matching result, and sequencing the cells of the current network according to the cell capacity expansion rule to determine the cells with the priority for capacity expansion.
Specifically, the cell is taken as a unit, the incremental indexes are searched in a current network index database of × 24h in N days and are matched with the cell, and the matching principle comprises the steps of determining the cell to be matched if the indexes are equal, otherwise determining the cell with the closest absolute value of the indexes to be matched, averaging the indexes of all the matched cells to obtain a unique matching result, and updating a cell capacity expansion rule according to the matching result, wherein the N value suggests a value range [7,30], the larger the N value is, the larger the calculated data amount is, the higher the system requirement is, and the cell capacity expansion rule in the primary judgment process needs to be kept consistent.
And ranking the priority according to the following rules, wherein the current network has the average value meeting the cell expansion rule in 7 days, is ranked according to the frequency meeting the rule in 7 days, has the frequency meeting the rule in the remaining 7 days, and is ranked according to the estimated MAX utilization rate index after increment so as to determine the cell with preferential expansion.
Herein, MAX (MAX) (busy time uplink PUSCH PRB utilization, busy time downlink PDSCH (physical uplink Shared Channel) PRB utilization, and busy time downlink PDCCH (physical downlink Control Channel) CCE utilization).
The daily prediction results are ranked as shown in table 1 below:
TABLE 1 daily prediction results ranking
The method can solve the problems that L TE networks predict network models and network load conditions under continuously increased service loads, high-load cell details are given according to load frequency priorities, high-load capacity expansion optimization work is guided, incremental indexes look up existing network databases to obtain total indexes of cells, all predicted data are closer to the real level of the network, prediction accuracy is high, cell increments are sorted according to multiple indexes and can reflect the difference of different scenes and cell increments, capacity expansion cell results have priority sorting, and a good supporting effect is achieved on work key points.
Fig. 4 shows a schematic structural diagram of a wireless service growth prediction apparatus provided in this embodiment, where the apparatus includes: index calculation module 401, frequency calculation module 402, growth rate calculation module 403, and growth estimation module 404, where:
the index calculation module 401 is configured to calculate a self busy hour mean index of preset days before and after a single cell is continuous and a self busy hour index of preset days after the single cell is continuous according to original data of a wireless service;
the frequency calculation module 402 is configured to calculate, according to the self-busy hour mean index and the post-self-busy hour index, a cell that satisfies capacity expansion in an existing network and a frequency that satisfies capacity expansion within a preset number of days after the cell that satisfies capacity expansion are obtained;
the increase rate calculation module 403 is configured to obtain a target cell that does not satisfy capacity expansion in an existing network according to the frequency and the cell that satisfies capacity expansion, calculate an increase rate of each indicator of the target cell, and calculate a cell increase rate of the target cell according to the increase rate of each indicator of the target cell;
the growth estimation module 404 is configured to perform wireless service growth estimation according to the cell growth rate of the target cell.
Specifically, the index calculation module 401 calculates a self-busy hour mean index of a preset number of days before and after a single cell is continuous and a self-busy hour index of a preset number of days after the single cell is continuous according to the original data of the wireless service; the frequency calculation module 402 calculates, according to the self-busy hour mean index and the post-self-busy hour index, a cell which satisfies capacity expansion in an existing network and a frequency which satisfies capacity expansion within a preset number of days after the cell which satisfies capacity expansion are obtained; the increase rate calculation module 403 obtains a target cell that does not satisfy capacity expansion in the current network according to the frequency and the cell that satisfies capacity expansion, calculates an increase rate of each index of the target cell, and calculates a cell increase rate of the target cell according to the increase rate of each index of the target cell; the growth estimation module 404 performs wireless service growth estimation according to the cell growth rate of the target cell.
The method comprises the steps of calculating a self-busy hour mean index and a self-busy hour index after a preset number of days before and after a single cell is continuous according to original data of the wireless service to obtain a target cell which does not meet capacity expansion in the current network, and performing wireless service growth estimation by calculating a cell growth rate of the target cell; the cell indexes are calculated through the original data, the estimated data are closer to the real level of the network, and the estimation accuracy is high; differentiation of different scenes can be embodied by calculating indexes of preset days before and after continuous of a single cell; the wireless service growth is estimated through the growth rate, the estimation efficiency can be greatly improved, and the time consumption is reduced.
Further, on the basis of the above apparatus embodiment, the growth estimation module is specifically configured to:
if the cell growth rate of the target cell is judged to be less than or equal to 1 or null, not performing wireless service growth estimation on the cell growth rate of the target cell;
and classifying the target cells according to the maximum growth rate of the cells, and respectively performing wireless service growth prediction on the cell growth rate of each type of target cells according to the classified types.
Further, on the basis of the above embodiment of the apparatus, the apparatus further comprises:
the cell matching module is used for acquiring the estimated wireless service indexes, matching the wireless service indexes in the current network index database according to the wireless service indexes, and performing arithmetic average calculation on all matched indexes of all cells to obtain a matching result;
and the capacity expansion cell determining module is used for updating the cell capacity expansion rule according to the matching result and sequencing the cells of the current network according to the cell capacity expansion rule so as to determine the cell with the priority of capacity expansion.
Further, on the basis of the above apparatus embodiment, the indexes of the cell include: the effective radio resource control RRC connection average number, the utilization rate of an uplink physical resource block PRB, the utilization rate of a downlink PRB, the utilization rate of a control channel element CCE, the uplink flow, the downlink flow and the successful times of establishment of an evolved radio access bearer E-RAB.
The wireless service growth prediction apparatus described in this embodiment may be used to implement the above method embodiments, and the principle and technical effect are similar, which are not described herein again.
Referring to fig. 5, the electronic device includes: a processor (processor)501, a memory (memory)502, and a bus 503;
wherein the content of the first and second substances,
the processor 501 and the memory 502 are communicated with each other through the bus 503;
the processor 501 is used to call program instructions in the memory 502 to perform the methods provided by the above-described method embodiments.
The present embodiments disclose a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the methods provided by the above-described method embodiments.
The present embodiments provide a non-transitory computer-readable storage medium storing computer instructions that cause the computer to perform the methods provided by the method embodiments described above.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
It should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for estimating wireless service growth, comprising:
calculating the self-busy hour mean index of a single cell before and after continuous preset days and the self-busy hour index of a single cell after continuous preset days according to the original data of the wireless service;
calculating according to the self-busy hour mean index and the post-self-busy hour index to obtain a cell which satisfies capacity expansion in the existing network and the frequency of satisfying capacity expansion within preset days after the cell satisfying capacity expansion;
acquiring a target cell which does not meet the capacity expansion in the current network according to the frequency and the cell meeting the capacity expansion, calculating the increase rate of each index of the target cell, and calculating the cell increase rate of the target cell according to the increase rate of each index of the target cell;
and estimating the wireless service growth according to the cell growth rate of the target cell.
2. The method according to claim 1, wherein the performing of the wireless service growth prediction according to the cell growth rate of the target cell specifically comprises:
if the cell growth rate of the target cell is judged to be less than or equal to 1 or null, not performing wireless service growth estimation on the cell growth rate of the target cell;
and classifying the target cells according to the maximum growth rate of the cells, and respectively performing wireless service growth prediction on the cell growth rate of each type of target cells according to the classified types.
3. The method of claim 1, further comprising:
acquiring the estimated wireless service indexes, matching in a current network index database according to the wireless service indexes, and carrying out arithmetic average calculation on all matched indexes of all cells to obtain a matching result;
updating the cell capacity expansion rule according to the matching result, and sequencing the cells of the current network according to the cell capacity expansion rule so as to determine the cell with the capacity expansion priority.
4. A method according to any of claims 1-3, characterized in that the indicators of the cells comprise: the effective radio resource control RRC connection average number, the utilization rate of an uplink physical resource block PRB, the utilization rate of a downlink PRB, the utilization rate of a control channel element CCE, the uplink flow, the downlink flow and the successful times of establishment of an evolved radio access bearer E-RAB.
5. A wireless traffic growth prediction apparatus, comprising:
the index calculation module is used for calculating the self-busy hour mean index of the single cell before and after continuous preset days and the self-busy hour index of the single cell after the continuous preset days according to the original data of the wireless service;
the frequency calculation module is used for calculating and obtaining a cell which meets capacity expansion in the existing network and the frequency which meets the capacity expansion within preset days after the cell which meets the capacity expansion according to the self-busy hour mean index and the post-self-busy hour index;
a growth rate calculation module, configured to obtain a target cell that does not meet capacity expansion in an existing network according to the frequency and the cell that meets capacity expansion, calculate a growth rate of each indicator of the target cell, and calculate a cell growth rate of the target cell according to the growth rate of each indicator of the target cell;
and the growth pre-estimation module is used for pre-estimating the growth of the wireless service according to the cell growth rate of the target cell.
6. The apparatus of claim 5, wherein the growth prediction module is specifically configured to:
if the cell growth rate of the target cell is judged to be less than or equal to 1 or null, not performing wireless service growth estimation on the cell growth rate of the target cell;
and classifying the target cells according to the maximum growth rate of the cells, and respectively performing wireless service growth prediction on the cell growth rate of each type of target cells according to the classified types.
7. The apparatus of claim 5, further comprising:
the cell matching module is used for acquiring the estimated wireless service indexes, matching the wireless service indexes in the current network index database according to the wireless service indexes, and performing arithmetic average calculation on all matched indexes of all cells to obtain a matching result;
and the capacity expansion cell determining module is used for updating the cell capacity expansion rule according to the matching result and sequencing the cells of the current network according to the cell capacity expansion rule so as to determine the cell with the priority of capacity expansion.
8. The apparatus according to any of claims 5-7, wherein the cell indicators comprise: the effective radio resource control RRC connection average number, the utilization rate of an uplink physical resource block PRB, the utilization rate of a downlink PRB, the utilization rate of a control channel element CCE, the uplink flow, the downlink flow and the successful times of establishment of an evolved radio access bearer E-RAB.
9. An electronic device, comprising:
at least one processor; and at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method of any of claims 1 to 4.
10. A non-transitory computer-readable storage medium storing a computer program that causes a computer to perform the method according to any one of claims 1 to 4.
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