CN105893538B - The LTE base station big data method for digging and device of mapped file based on memory - Google Patents
The LTE base station big data method for digging and device of mapped file based on memory Download PDFInfo
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- G06F16/10—File systems; File servers
- G06F16/16—File or folder operations, e.g. details of user interfaces specifically adapted to file systems
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Abstract
A kind of the LTE base station big data method for digging and device of mapped file based on memory store the original counter information of current period including creating common Memory Mapping File F1 for all base stations；Original counter is stored by predefined data structure M into F1；When current period percentage of head rice statistical time point reaches, Memory Mapping File F2 is created, by counter data copy original in F1 into F2；M structures all in F2 are ranked up, each M structure in F2 is read and compares, comparing result is subjected to count counting, then calculates the percentage of head rice of current criteria.The present invention handles the file being stored on disk using Memory Mapping File, reduces and executes I/O operation to file, improves the efficiency that original counter percentage of head rice calculates, while reducing the consumption of platform internal memory, dilatation difficulty and corresponding cost.
Description
Technical field
The present invention relates to wireless communication technology field, the big data method for digging of specifically a kind of mapped file based on memory
And device, for improving the base station LTE (Long Term Evolution) original counter (original index that LTE base station reports
Parameter) percentage of head rice statistical efficiency.
Background technique
With the extensive use of computer and the fast development of computer technology, people utilize information technology gather data
Ability increase substantially, big data is present in the every field such as commercial management, government, scientific research and engineering development.
In face of the data of magnanimity, how valuable information or knowledge are therefrom effectively found, be a very difficult task.Data
Excavation is exactly the extraction interested knowledge of people from a large amount of data, these knowledge are that implicit, prior unknown potential have
Information.
Existing data mining technology needs computer to possess biggish storage and operational capability, or even needs to use cloud meter
The knowledge in the related sciences such as calculation, artificial intelligence field, although these technical methods can improve data mining to a certain extent
Efficiency, but often lead to the significant wastage of system resource, increase the cost of project plan.Especially LTE (Long
Term Evolution) the original counter in base station, data volume is big, it is difficult to realize and excavate.
Summary of the invention
For defect described above, the present invention provides the big data method for digging and dress of a kind of mapped file based on memory
It sets, to improve original counter percentage of head rice statistical efficiency, and reduces statistics time delay and Installed System Memory consumption, save system resource,
Project plan cost is reduced, guarantees the service quality of LTE base station network management.
Technical solution of the present invention provides the LTE base station big data method for digging of one kind mapped file based on memory, including with
Lower step,
Step 1: creating common Memory Mapping File F1 in the starting of LTE base station network management for all base stations, F1 is used to
The original counter information that storage current period LTE base station equipment reports；
Step 2: when receiving the original counter that base station reports, by the relevant information of original counter by predefined
Data structure M store into Memory Mapping File F1, the information stored in predefined data structure M include base station number,
The value of cell number, the ID of original counter and original counter, each cell at each stylobate station each
There is a M structure in original counter；
Step 3: Memory Mapping File F2 is created when reaching at the time point of current period percentage of head rice statistics, it will be in F1
For original counter data copy into Memory Mapping File F2, counter original to each of F2 carries out percentage of head rice statistics；
The data in Memory Mapping File F1 are emptied, F1 is for storing the original counter information that next period base station equipment reports；
Step 4: being ranked up to M structure all in Memory Mapping File F2, first arranged from small to large by base station number
Sequence, then sort from small to large by cell number, finally it is ranked up from small to large by the ID of original counter:
Step 5: read Memory Mapping File F2 in each M structure, compare its whether be expectation receive it is original
Comparing result is carried out count counting, is then calculated according to the formula that original counter percentage of head rice calculates by counter data
Calculated result is stored in database by the percentage of head rice of current criteria.
Moreover, the implementation of step 5 is as follows,
Flag bit Flag is set, enables Flag=false, whether is still had for identifying in current Memory Mapping File
Original counter information,
First M structure in Memory Mapping File is read, which is named as r, Flag=true；
By expectation report base station number, cell number, original counter ID, loop through each expectation and report
Original counter, it would be desirable to the original counter information that receives forms a new M structure, which is named as
Moi:
Then following steps are executed,
10) judge whether to reach the end file F2, if otherwise entered 11), if yes then enter 15)；
11) original counter counter count is initialized, count=0 is enabled；
12) value of count, r, Flag are updated according to the comparison result of r and moi, r only carries out base station compared with moi
Number, cell number, original counter ID comparison, the value of original counter is not compared, comparison procedure is such as
Under,
If r=moi, count counting is carried out adding 1, indicates that the current area of current base station has reported a current original
Beginning counter value reads next M structure in Memory Mapping File, this M structure is named as r, if in Memory Mapping File
There is no M structure, then Flag=false；
If r > moi, next M structure in Memory Mapping File is directly read, this M structure is named as r, if memory reflects
It penetrates and M structure is not present in file, then Flag=false；
If r < moi, count maintenance 0 are constant；
13) percentage of head rice of current criteria is calculated according to the calculation formula of percentage of head rice, calculation formula is
Original counter percentage of head rice=count × collection period/report cycle × 100%；
14) calculated result is stored in database, into 11)；
15) terminate.
The present invention provides a kind of LTE base station big data digging system of mapped file based on memory, comprises the following modules,
First module, for creating common Memory Mapping File F1 for all base stations in the starting of LTE base station network management,
F1 is used to store the original counter information that current period LTE base station equipment reports；
Second module, for when receiving the original counter that base station reports, the relevant information of original counter to be pressed
Into Memory Mapping File F1, the information stored in predefined data structure M includes base station for predefined data structure M storage
Number, cell number, the value of the ID of original counter and original counter, each cell at each stylobate station it is every
There is a M structure in one original counter；
Third module creates Memory Mapping File F2 when the time point for counting in current period percentage of head rice reaches, will
For original counter data copy in F1 into Memory Mapping File F2, counter original to each of F2 carries out percentage of head rice
Statistics；The data in Memory Mapping File F1 are emptied, F1 is used to store the original counter letter that next period base station equipment reports
Breath；
4th module, for being ranked up to M structure all in Memory Mapping File F2, first by base station number from it is small to
Big sequence, then sort from small to large by cell number, finally it is ranked up from small to large by the ID of original counter:
5th module compares whether it is the original for it is expected to receive for reading each M structure in Memory Mapping File F2
Comparing result is carried out count counting by beginning counter data, is then calculated according to the formula that original counter percentage of head rice calculates
Calculated result is stored in database by the percentage of head rice of current criteria out.
Moreover, the working method of the 5th module is as follows,
Flag bit Flag is set, enables Flag=false, whether is still had for identifying in current Memory Mapping File
Original counter information,
First M structure in Memory Mapping File is read, which is named as r, Flag=true；
By expectation report base station number, cell number, original counter ID, loop through each expectation and report
Original counter, it would be desirable to the original counter information that receives forms a new M structure, which is named as
Moi:
Then following steps are executed,
10) judge whether to reach the end file F2, if otherwise entered 11), if yes then enter 15)；
11) original counter counter count is initialized, count=0 is enabled；
12) value of count, r, Flag are updated according to the comparison result of r and moi, r only carries out base station compared with moi
Number, cell number, original counter ID comparison, the value of original counter is not compared, comparison procedure is such as
Under,
If r=moi, count counting is carried out adding 1, indicates that the current area of current base station has reported a current original
Beginning counter value reads next M structure in Memory Mapping File, this M structure is named as r, if in Memory Mapping File
There is no M structure, then Flag=false；
If r > moi, next M structure in Memory Mapping File is directly read, this M structure is named as r, if memory reflects
It penetrates and M structure is not present in file, then Flag=false；
If r < moi, count maintenance 0 are constant；
13) percentage of head rice of current criteria is calculated according to the calculation formula of percentage of head rice, calculation formula is
Original counter percentage of head rice=count × collection period/report cycle × 100%；
14) calculated result is stored in database, into 11)；
15) terminate.
The present invention is filtered counter information when base station reports original counter information, only extracts counter
Predefined data structure is formed with the information of base station, reduces the data volume of subsequent processing.The data structure of composition is written
In Memory Mapping File F1, Installed System Memory is further saved.It, will when reaching at the time point of current period percentage of head rice statistics
It is received to original counter information from being copied in Memory Mapping File F1 in another memory file F2, make F1 can be with
Continue to store the original counter that next cycle base station reports, and the counter reported in F2 can enter percentage of head rice and unite
Process is counted, data that are time-consuming and causing next period base station to report can be counted to avoid current period percentage of head rice in this way can not be timely
It receives, reduces the time delay of data receiver.The original counter information that expectation is received, forms predefined data structure again
It is compared operation, simplifies the process of percentage of head rice statistics.To the original counter data structure in F2 by base station number, small
Area numbers, traverses again after the ID of original counter sequence, improves the efficiency of percentage of head rice statistics.
Therefore, the present invention handles the file being stored on disk using Memory Mapping File, reduces and executes I/O behaviour to file
Make, relative to traditional percentage of head rice calculation method, improves the efficiency that original counter percentage of head rice calculates, while reducing LTE
The consumption of memory, dilatation difficulty and corresponding cost in the network management platform operational process of base station.
Detailed description of the invention
Fig. 1 is a kind of big data mining process process signal of the mapped file based on memory provided in the embodiment of the present invention
Figure；
Fig. 2 is the specific flow chart of the original counter percentage of head rice statistics in base station in the embodiment of the present invention.
Specific embodiment
In order to preferably illustrate technical solution of the present invention, with reference to the accompanying drawings and embodiments to thought of the invention make into
The explanation of one step.When it is implemented, software technology implementation process automatic running can be used in the present invention.The embodiment of the present invention is in memory
Percentage of head rice statistics is carried out to the original counter that base station reports on the basis of mapped file, the result of percentage of head rice statistics is stored
Into database.
Institute of embodiment of the present invention providing method mainly comprises the steps that
Step 1: creating common Memory Mapping File F1 in the starting of LTE base station network management for all base stations, F1 is used to
The original counter information that storage current period LTE base station equipment reports；
The present invention creates two Memory Mapping Files, and one is used to store the original counter that base station equipment reports,
Another is used to store the original counter for waiting for percentage of head rice calculating.
Step 2: when receiving the original counter that base station reports, by the relevant information of original counter by predefined
Data structure M store into Memory Mapping File F1, the information of storage includes base station number, cell number, original counter
ID and original counter value, there are one by each original counter of each cell at each stylobate station
M structure, M structure are defined as follows:
struct M{
std::string bbu_no；// base station number
unsigned int cell_id；// cell number
unsigned int counter_id；The ID of // original counter
unsigned int counter_value；The value of // original counter
}；
The original counter information that the present invention reports base station equipment is stored by predefined data structure.By base
The original counter information that station equipment reports is stored into Memory Mapping File.
Step 3: Memory Mapping File F2 is created when reaching at the time point of current period percentage of head rice statistics, it will be in F1
For original counter data copy into Memory Mapping File F2, counter original to each of F2 carries out percentage of head rice statistics.
The data in Memory Mapping File F1 are emptied, F1 is for storing the original counter information that next period base station equipment reports；
Step 4: being ranked up to M structure all in Memory Mapping File F2, first arranged from small to large by base station number
Sequence, then sort from small to large by cell number, finally it is ranked up from small to large by the ID of original counter:
The present invention includes the data structure of original counter information according to certain for each of Memory Mapping File
Rule be ranked up, first sort from small to large by base station number, then sort from small to large by cell number, finally by original
The ID of counter sorts from small to large, and each minor sort is carried out on the basis of previous minor sort.
It sorts from small to large by cell number, is carried out on the basis sorted by base station number.
It sorts from small to large by the ID of original counter, is carried out on the basis sorted by cell number；
Step 5: read Memory Mapping File F2 in each M structure, compare its whether be expectation receive it is original
Comparing result is carried out count counting by counter data.Then it is calculated according to the formula that original counter percentage of head rice calculates
Calculated result is stored in database by the percentage of head rice of current criteria.
According to the original counter information that expectation receives, new predefined data structure M is formed, wherein expectation receives
Original counter information include base station number, cell number and original counter ID, it is original in the M structure newly formed
The value of counter is sky.
The M structure newly formed is compared with the M structure in Memory Mapping File, only compares base station number, cell is compiled
Number, tri- information of ID of original counter, calculate the percentage of head rice that original counter is reported according to the result of the comparison.
The big data method for digging of mapped file based on memory that embodiment provides a kind of can be used and include the following steps
Process specific implementation:
1) S100: in the starting of LTE base station network management, common Memory Mapping File F1 is created for all base stations, F1 is used to
The original counter information that storage current period LTE base station equipment reports.
2) S101: when receiving the XML file that base station reports, the data in XML file are filtered, are only extracted original
The relevant information of counter and base station, including base station number, cell number, original counter ID and original counter
Value；
When it is implemented, XML file is operator according to file format as defined in related specifications, comprising original in file
The information of counter.
3) S200: the relevant information of original counter is stored by predefined data structure M to Memory Mapping File F1
In, the information of storage includes base station number, cell number, the value of the ID of original counter and original counter, each
There are a M structures by the original counter of each of each cell at stylobate station；
4) S201: judging whether the time point of current period percentage of head rice statistics reaches, if not arriving into 2) S101, if
Arrive into 5) S300；
5) S300: creation Memory Mapping File F2, by the original counter data copy in F1 to Memory Mapping File F2
In, data therein are handled into 6) S400.The data in Memory Mapping File F1 are emptied, when the arrival in next period
Continue on for the original counter information that storage base station equipment reports into 2) S101, F1；Because base station reporting file is the period
Property upload, if next period reaches, the data of previous cycle have not been handled also, will lead to next periodic report
File stall receives, and data are overstock, and the file process ability of network management is caused to decline；
6) S400: being ranked up M structure all in F2, first sorts from small to large by base station number, then compiles by cell
It number sorts, is finally ranked up by the ID of original counter from small to large:
It sorts from small to large by cell number, is carried out on the result to sort by base station number.
It sorts from small to large by the ID of original counter, is carried out on the result to sort by cell number；
Than if any following 4 M structures:
M1={ bbu_no=" 00000012 ", cell_id=01, counter_id=236, counter_value=
103}
M2={ bbu_no=" 00000010 ", cell_id=03, counter_id=400, counter_value=
90}
M3={ bbu_no=" 00000010 ", cell_id=02, counter_id=200, counter_value=
61}
M4={ bbu_no=" 00000010 ", cell_id=02, counter_id=190, counter_value=
74}
It sorts by base station number (bbu_no), obtains result 1:
M2={ bbu_no=" 00000010 ", cell_id=03, counter_id=400, counter_value=
90}
M3={ bbu_no=" 00000010 ", cell_id=02, counter_id=200, counter_value=
61}
M4={ bbu_no=" 00000010 ", cell_id=02, counter_id=190, counter_value=
74}
M1={ bbu_no=" 00000012 ", cell_id=01, counter_id=236, counter_value=
103}
It sorts on the basis of result 1 by cell number (cell_id), obtains result 2:
M3={ bbu_no=" 00000010 ", cell_id=02, counter_id=200, counter_value=
61}
M4={ bbu_no=" 00000010 ", cell_id=02, counter_id=190, counter_value=
74}
M2={ bbu_no=" 00000010 ", cell_id=03, counter_id=400, counter_value=
90}
M1={ bbu_no=" 00000012 ", cell_id=01, counter_id=236, counter_value=
103}
It sorts on the basis of result 2 by the ID (counter_id) of original counter, obtains result 3:
M4={ bbu_no=" 00000010 ", cell_id=02, counter_id=190, counter_value=
74}
M3={ bbu_no=" 00000010 ", cell_id=02, counter_id=200, counter_value=
61}
M2={ bbu_no=" 00000010 ", cell_id=03, counter_id=400, counter_value=
90}
M1={ bbu_no=" 00000012 ", cell_id=01, counter_id=236, counter_value=
103}
After such sequence, so that it may by same stylobate station, the calculating knot of the original counter of the same cell
Fruit stores together, and improves percentage of head rice effectiveness of retrieval, there are 3 kinds of retrieval modes for percentage of head rice: examining by base station retrieval, by cell
Rope is retrieved by original counter.
7) S401: setting flag bit Flag enables Flag=false, for identify in current Memory Mapping File whether
There are still original counter information, i.e., untreated with the presence or absence of M structure；
8) S402: first M structure in Memory Mapping File is read, which is named as r, Flag=true；
9) S500: by expectation report base station number, cell number, original counter ID, loop through each phase
Hope the original counter reported, it would be desirable to which the original counter information received forms a new M structure, by the M structure
It is named as moi:
Base station number, cell number, original counter ID be all by order traversal from small to large.
The value of original counter is sky in newly-generated M structure moi.
10) S501: judging whether to reach the end file F2, if otherwise entering S502, if yes then enter S506；
11) S502: original counter counter count is initialized, count=0 is enabled.
12) S503: updating the value of count, r, Flag according to the comparison result of r and moi, and r is only carried out compared with moi
Base station number, cell number, original counter ID comparison, the value of original counter is not compared, specifically
Comparison procedure is as follows:
If r=moi, count counting is carried out adding 1, indicates that the current area of current base station has reported a current original
Beginning counter value reads next M structure in Memory Mapping File, this M structure is named as r, if in Memory Mapping File
There is no M structure, then Flag=false；
If r > moi, next M structure in Memory Mapping File is directly read, this M structure is named as r, if memory reflects
It penetrates and M structure is not present in file, then Flag=false；
If r < moi, count maintenance 0 are constant；
13) percentage of head rice of current criteria, the following (note: acquisition of calculation formula S504: are calculated according to the calculation formula of percentage of head rice
Period≤report cycle):
Original counter percentage of head rice=count × collection period/report cycle × 100%；
14) S505: calculated result is stored in database, into S501；
15) S506: terminate.
When it is implemented, method provided by the present invention can realize automatic running process based on software technology, mould can also be used
Block mode realizes corresponding system.
The present invention provides a kind of LTE base station big data digging system of mapped file based on memory, comprises the following modules,
First module, for creating common Memory Mapping File F1 for all base stations in the starting of LTE base station network management,
F1 is used to store the original counter information that current period LTE base station equipment reports；
Second module, for when receiving the original counter that base station reports, the relevant information of original counter to be pressed
Into Memory Mapping File F1, the information stored in predefined data structure M includes base station for predefined data structure M storage
Number, cell number, the value of the ID of original counter and original counter, each cell at each stylobate station it is every
There is a M structure in one original counter；
Third module creates Memory Mapping File F2 when the time point for counting in current period percentage of head rice reaches, will
For original counter data copy in F1 into Memory Mapping File F2, counter original to each of F2 carries out percentage of head rice
Statistics；The data in Memory Mapping File F1 are emptied, F1 is used to store the original counter letter that next period base station equipment reports
Breath；
4th module, for being ranked up to M structure all in Memory Mapping File F2, first by base station number from it is small to
Big sequence, then sort from small to large by cell number, finally it is ranked up from small to large by the ID of original counter:
5th module compares whether it is the original for it is expected to receive for reading each M structure in Memory Mapping File F2
Comparing result is carried out count counting by beginning counter data, is then calculated according to the formula that original counter percentage of head rice calculates
Calculated result is stored in database by the percentage of head rice of current criteria out.
Each module specific implementation can be found in corresponding steps, and it will not go into details by the present invention.
Specific embodiment described herein is only to illustration of the invention.The technical field of the invention
Technical staff can do various modifications or additions to described specific example or be substituted in a similar manner, but simultaneously
Spirit or beyond the scope defined by the appended claims of the invention is not deviated by.
Claims (4)
1. a kind of LTE base station big data method for digging of mapped file based on memory, it is characterised in that: include the following steps,
Step 1: creating common Memory Mapping File F1, F1 in the starting of LTE base station network management for all base stations for storing
The original counter information that current period LTE base station equipment reports；
Step 2: the relevant information of original counter is pressed predefined number when receiving the original counter that base station reports
According to structure M storage into Memory Mapping File F1, the information stored in predefined data structure M includes base station number, cell
Number, the value of the ID of original counter and original counter, each of each cell at each stylobate station are original
There is a M structure in counter；
Step 3: Memory Mapping File F2 is created when reaching at the time point of current period percentage of head rice statistics, it will be original in F1
For counter data copy into Memory Mapping File F2, counter original to each of F2 carries out percentage of head rice statistics；It empties
Data in Memory Mapping File F1, F1 is for storing the original counter information that next period base station equipment reports；
Step 4: being ranked up to M structure all in Memory Mapping File F2, first sort from small to large by base station number, then
It sorts by cell number, is finally ranked up from small to large by the ID of original counter from small to large:
Step 5: reading each M structure in Memory Mapping File F2, compare whether it is the original counter for it is expected to receive
Comparing result is carried out count counting, then calculates current finger according to the formula that original counter percentage of head rice calculates by data
Calculated result is stored in database by target percentage of head rice；
The formula that the original counter percentage of head rice calculates is
Original counter percentage of head rice=count × collection period/report cycle × 100%.
2. the LTE base station big data method for digging of mapped file based on memory according to claim 1, it is characterised in that: step
Rapid five implementation is as follows,
Flag bit Flag is set, Flag=false is enabled, whether there are still original in current Memory Mapping File for identifying
Counter information,
First M structure in Memory Mapping File is read, which is named as r, Flag=true；
The base station number that is reported by expectation, cell number, original counter ID, loop through each and it is expected original for reporting
Beginning counter, it would be desirable to which the original counter information received forms a new M structure, which is named as moi:
Then following steps are executed,
10) judge whether to reach the end file F2, if otherwise entered 11), if yes then enter 15)；
11) original counter counter count is initialized, count=0 is enabled；
12) according to the comparison result of r and moi update count, r, Flag value, r compared with moi only carry out base station number,
Cell number, original counter ID comparison, the value of original counter is not compared, comparison procedure is as follows,
If r=moi, count counting is carried out plus 1, indicate the current area of current base station reported one it is current original
Counter value reads next M structure in Memory Mapping File, this M structure is named as r, if in Memory Mapping File not
There are M structure, then Flag=false；
If r > moi, next M structure in Memory Mapping File is directly read, this M structure is named as r, if memory mapping text
M structure is not present in part, then Flag=false；
If r < moi, count maintenance 0 are constant；
13) percentage of head rice of current criteria is calculated according to the calculation formula of percentage of head rice, calculation formula is
Original counter percentage of head rice=count × collection period/report cycle × 100%；
14) calculated result is stored in database, into 11)；
15) terminate.
3. a kind of LTE base station big data digging system of mapped file based on memory, it is characterised in that: it comprises the following modules,
First module, for creating common Memory Mapping File F1, F1 use for all base stations in the starting of LTE base station network management
To store the original counter information that current period LTE base station equipment reports；
Second module, for the relevant information of original counter being pressed predetermined when receiving the original counter that base station reports
The data structure M of justice is stored into Memory Mapping File F1, and the information stored in predefined data structure M includes that base station is compiled
Number, the value of the ID of cell number, original counter and original counter, each cell at each stylobate station it is each
There is a M structure in a original counter；
Third module creates Memory Mapping File F2 when the time point for counting in current period percentage of head rice reaches, will be in F1
Original counter data copy into Memory Mapping File F2, counter original to each of F2 carries out percentage of head rice system
Meter；The data in Memory Mapping File F1 are emptied, F1 is used to store the original counter letter that next period base station equipment reports
Breath；
4th module is first arranged by base station number from small to large for being ranked up to M structure all in Memory Mapping File F2
Sequence, then sort from small to large by cell number, finally it is ranked up from small to large by the ID of original counter:
5th module, for reading each M structure in Memory Mapping File F2, comparing it, whether to be that expectation receives original
Comparing result is carried out count counting, is then calculated according to the formula that original counter percentage of head rice calculates by counter data
Calculated result is stored in database by the percentage of head rice of current criteria；
The formula that the original counter percentage of head rice calculates is
Original counter percentage of head rice=count × collection period/report cycle × 100%.
4. the LTE base station big data digging system of mapped file based on memory according to claim 3, it is characterised in that:
The working method of five modules is as follows,
Flag bit Flag is set, Flag=false is enabled, whether there are still original in current Memory Mapping File for identifying
Counter information,
First M structure in Memory Mapping File is read, which is named as r, Flag=true；
The base station number that is reported by expectation, cell number, original counter ID, loop through each and it is expected original for reporting
Beginning counter, it would be desirable to which the original counter information received forms a new M structure, which is named as moi:
Then following steps are executed,
10) judge whether to reach the end file F2, if otherwise entered 11), if yes then enter 15)；
11) original counter counter count is initialized, count=0 is enabled；
12) according to the comparison result of r and moi update count, r, Flag value, r compared with moi only carry out base station number,
Cell number, original counter ID comparison, the value of original counter is not compared, comparison procedure is as follows,
If r=moi, count counting is carried out plus 1, indicate the current area of current base station reported one it is current original
Counter value reads next M structure in Memory Mapping File, this M structure is named as r, if in Memory Mapping File not
There are M structure, then Flag=false；
If r > moi, next M structure in Memory Mapping File is directly read, this M structure is named as r, if memory mapping text
M structure is not present in part, then Flag=false；
If r < moi, count maintenance 0 are constant；
13) percentage of head rice of current criteria is calculated according to the calculation formula of percentage of head rice, calculation formula is
Original counter percentage of head rice=count × collection period/report cycle × 100%；
14) calculated result is stored in database, into 11)；
15) terminate.
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| CN102647757A (en) * | 2011-02-17 | 2012-08-22 | 中兴通讯股份有限公司 | Sending method for TA (Time Advance) regulating command of LTE (Long Term Evolution) and base station |
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| CN102316468A (en) * | 2011-08-19 | 2012-01-11 | 新邮通信设备有限公司 | Coexistence interference indicating method in long term evolution (LTE) trigger equipment and user equipment (UE) |
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