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CN102547761A - Capacity allocation method of wireless network and capacity allocation device thereof - Google Patents

Capacity allocation method of wireless network and capacity allocation device thereof Download PDF

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Publication number
CN102547761A
CN102547761A CN2012100114075A CN201210011407A CN102547761A CN 102547761 A CN102547761 A CN 102547761A CN 2012100114075 A CN2012100114075 A CN 2012100114075A CN 201210011407 A CN201210011407 A CN 201210011407A CN 102547761 A CN102547761 A CN 102547761A
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sum
busy
cells
traffic
wireless network
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薛永备
马红兵
陈崴嵬
任国旭
谷磊
耿玉波
张鹏
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China United Network Communications Group Co Ltd
China Information Technology Designing and Consulting Institute Co Ltd
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China United Network Communications Group Co Ltd
China Information Technology Designing and Consulting Institute Co Ltd
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Abstract

The invention provides a capacity allocation method of wireless network and a capacity allocation device of the wireless network. The method comprises the following steps: obtaining a first total telephone traffic sum of all corresponding cells in a prefecture-level city at busy hours and a second total telephone traffic sum of the wireless network system in the prefecture-level city at busy hours; obtaining a corresponding imbalance coefficient of all cells at busy hours according to the first total telephone traffic sum and the second total telephone traffic sum; predicting a third corresponding total telephone traffic sum of the system at a second preset time, and obtaining a corresponding load sum of the cell at busy hours according to the third total telephone traffic sum and the imbalance coefficient; and carrying out allocation process to the capacity of the wireless network according to the load sum. According to the invention, the capacity of the wireless network is allocated in accordance with the corresponding load sum of the cell at busy hours, and the load sum is obtained through the imbalance coefficient, consequently unimpeded communication of a user at any time and any place is ensured, and the user experience is improved effectively.

Description

Capacity configuration method and device of wireless network
Technical Field
The present invention relates to communications technologies, and in particular, to a capacity configuration method and device for a wireless network.
Background
At present, the capacity allocation of a wireless network for estimating the allocated number of cell channels and carrier frequencies is mainly configured according to the corresponding traffic load when the system is busy, wherein the system comprises a plurality of cells, but, in general, in the existing mobile communication network, the busy hour of the system is not consistent with the busy hour of the cells of the plurality of cells, therefore, the service load corresponding to the busy hour of the system is different from the service load corresponding to the busy hour of the cell, therefore, when the capacity configuration of the wireless network is configured according to the service load corresponding to the busy hour of the system and the service load corresponding to the busy hour of the system is not consistent with the service load corresponding to the busy hour of the cell, in the time period when some cells are busy, available channel resources are insufficient, traffic channel congestion occurs, and the overall network congestion rate index is affected, so that the user experience is poor.
Disclosure of Invention
The first aspect of the present invention provides a capacity configuration method for a wireless network, including:
in a first preset time, acquiring a first telephone traffic sum corresponding to busy hours of all cells in a local city and a second telephone traffic sum corresponding to busy hours of a wireless network system in the local city;
acquiring imbalance coefficients corresponding to all busy cells according to the first telephone traffic sum and the second telephone traffic sum corresponding to all busy cells;
predicting a third traffic sum corresponding to the system busy hour at a second preset time, and acquiring the load sum corresponding to all the cell busy hours according to the third traffic sum and the imbalance coefficient;
and configuring the capacity of the wireless network according to the sum of the loads.
Another aspect of the present invention is to provide a capacity configuration apparatus of a wireless network, including:
the system comprises a telephone traffic acquisition module, a first time setting module and a second time setting module, wherein the telephone traffic acquisition module is used for acquiring a first telephone traffic sum corresponding to busy hours of all cells in a local city and a second telephone traffic sum corresponding to busy hours of a wireless network system in the local city in a first preset time;
the imbalance coefficient acquisition module is used for acquiring imbalance coefficients corresponding to all busy cells according to the first telephone traffic sum and the second telephone traffic sum corresponding to all busy cells;
the telephone traffic obtaining module is further used for predicting a third telephone traffic sum corresponding to the system busy hour at a second preset time;
a load sum obtaining module, configured to obtain the sum of loads corresponding to busy hours of all cells according to the third traffic sum and the imbalance coefficient;
and the capacity configuration module is used for configuring the capacity of the wireless network according to the sum of the loads.
The invention has the technical effects that: acquiring a first traffic sum corresponding to busy hours of all cells in a local city and a second traffic sum corresponding to busy hours of a wireless network system in the local city within a first preset time; and finally, configuring the capacity of the wireless network according to the sum of the loads corresponding to the busy cells, so that the capacity of the wireless network is configured according to the sum of the loads corresponding to the busy cells, and the sum of the loads is obtained by the imbalance coefficient, thereby ensuring that a user can smoothly communicate at any time and any place, and effectively improving the feeling of the user.
Drawings
Fig. 1 is a flow chart of one embodiment of a method for capacity allocation in a wireless network of the present invention;
fig. 2 is a schematic structural diagram of a capacity configuration device of a wireless network according to an embodiment of the present invention.
Detailed Description
Fig. 1 is a flowchart of an embodiment of a capacity configuration method of a wireless network according to the present invention, and as shown in fig. 1, the method of the embodiment includes:
step 101, in a first preset time, obtaining a first traffic sum corresponding to busy hours of all cells in a local city and a second traffic sum corresponding to busy hours of a wireless network system in the local city.
And 102, acquiring an imbalance coefficient corresponding to the busy hours of the cell according to the first traffic sum and the second traffic sum corresponding to the busy hours of all the cells.
And 103, predicting a third traffic sum corresponding to the busy hour of the system at a second preset time, and acquiring the load sum corresponding to the busy hours of all the cells according to the third traffic sum and the imbalance coefficient.
And 104, configuring the capacity of the wireless network according to the sum of the loads.
In the embodiment, a first traffic sum corresponding to busy hours of all cells in a local city and a second traffic sum corresponding to busy hours of a wireless network system in the local city are obtained within a first preset time; and finally, configuring the capacity of the wireless network according to the sum of the loads corresponding to the busy cells, so that the capacity of the wireless network is configured according to the sum of the loads corresponding to the busy cells, and the sum of the loads is obtained by the imbalance coefficient, thereby ensuring that a user can smoothly communicate at any time and any place, and effectively improving the feeling of the user.
Further, in another embodiment of the present invention, on the basis of the embodiment shown in fig. 1, a specific implementation manner of step 102 is as follows:
according to the sum of the first telephone traffic and the sum of the second telephone traffic corresponding to all the busy hours of the cell, adopting a formula (1):
<math> <mrow> <msub> <mi>r</mi> <mn>1</mn> </msub> <mo>=</mo> <mfrac> <mrow> <munderover> <mi>&Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>N</mi> </munderover> <msub> <mi>A</mi> <mrow> <mi>i</mi> <mi>max</mi> </mrow> </msub> </mrow> <msub> <mi>A</mi> <mrow> <mi>total</mi> <mi>max</mi> </mrow> </msub> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>1</mn> <mo>)</mo> </mrow> </mrow> </math>
acquiring a first imbalance coefficient r corresponding to busy hours of all the cells every day1
Wherein N represents the number of cells in the city; a. theimaxRepresents the first traffic volume corresponding to the i-th cell in the city when the cell is busy in each day, AtotalmaxAnd the second traffic sum corresponding to the busy time of the wireless network system in the local city is represented.
Further, in another embodiment of the present invention, based on the embodiment shown in fig. 1, another specific implementation manner of the step 102 is:
according to the sum of the first traffic volumes and the sum of the second traffic volumes corresponding to all the cells, adopting a formula (2):
<math> <mrow> <msub> <mi>r</mi> <mrow> <mi>w</mi> <mn>1</mn> </mrow> </msub> <mo>=</mo> <mfrac> <mrow> <munderover> <mi>&Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>N</mi> </munderover> <mi>max</mi> <mrow> <mo>(</mo> <msub> <mi>A</mi> <mrow> <mi>i</mi> <mi>max</mi> <mn>1</mn> </mrow> </msub> <mo>,</mo> <msub> <mi>A</mi> <mrow> <mi>i</mi> <mi>max</mi> <mn>2</mn> </mrow> </msub> <mo>,</mo> <mo>&CenterDot;</mo> <mo>&CenterDot;</mo> <mo>&CenterDot;</mo> <msub> <mi>A</mi> <mrow> <mi>i</mi> <mi>max</mi> <mn>7</mn> </mrow> </msub> <mo>)</mo> </mrow> </mrow> <mrow> <mi>max</mi> <mrow> <mo>(</mo> <msub> <mi>A</mi> <mrow> <mi>total</mi> <mi>max</mi> <mn>1</mn> </mrow> </msub> <mo>,</mo> <msub> <mi>A</mi> <mrow> <mi>total</mi> <mi>max</mi> <mn>2</mn> </mrow> </msub> <mo>,</mo> <mo>&CenterDot;</mo> <mo>&CenterDot;</mo> <mo>&CenterDot;</mo> <msub> <mi>A</mi> <mrow> <mi>total</mi> <mi>max</mi> <mn>7</mn> </mrow> </msub> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>2</mn> <mo>)</mo> </mrow> </mrow> </math>
acquiring a second imbalance coefficient r corresponding to all busy hours of the cells which are integrated for one weekw1
Wherein N represents the number of cells in the city; a. theimax1To Aimax7Respectively representing first telephone traffic corresponding to the i-th cell in the local city at the busy hour every seven days a week; a. thetotalmax1To Atotalmax7Respectively representing the second traffic sum corresponding to the busy wireless network system in the local city every day for seven days a week.
Further, in another embodiment of the present invention, based on the embodiment shown in fig. 1, another specific implementation manner of the step 102 is as follows:
according to the sum of the first traffic volumes and the sum of the second traffic volumes corresponding to all the cells, adopting a formula (3):
<math> <mrow> <msub> <mi>r</mi> <mrow> <mi>g</mi> <mn>1</mn> </mrow> </msub> <mo>=</mo> <mfrac> <mrow> <munderover> <mi>&Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>N</mi> </munderover> <mi>average</mi> <mrow> <mo>(</mo> <msub> <mi>A</mi> <mrow> <mi>i</mi> <mi>max</mi> <mn>1</mn> </mrow> </msub> <mo>+</mo> <msub> <mi>A</mi> <mrow> <mi>i</mi> <mi>max</mi> <mn>2</mn> </mrow> </msub> <mo>+</mo> <mo>&CenterDot;</mo> <mo>&CenterDot;</mo> <mo>&CenterDot;</mo> <mo>+</mo> <msub> <mi>A</mi> <mrow> <mi>i</mi> <mi>max</mi> <mn>7</mn> </mrow> </msub> <mo>)</mo> </mrow> </mrow> <mrow> <mi>average</mi> <mrow> <mo>(</mo> <msub> <mi>A</mi> <mrow> <mi>total</mi> <mi>max</mi> <mn>1</mn> </mrow> </msub> <mo>+</mo> <msub> <mi>A</mi> <mrow> <mi>total</mi> <mi>max</mi> <mn>2</mn> </mrow> </msub> <mo>+</mo> <mo>&CenterDot;</mo> <mo>&CenterDot;</mo> <mo>&CenterDot;</mo> <mo>+</mo> <msub> <mi>A</mi> <mrow> <mi>total</mi> <mi>max</mi> <mn>7</mn> </mrow> </msub> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>3</mn> <mo>)</mo> </mrow> </mrow> </math>
obtaining a third imbalance coefficient r corresponding to all busy hours of the cells which are averaged and integrated in a weekg1
Wherein N represents the number of cells in the city; a. theimax1To Aimax7Respectively representing first telephone traffic corresponding to the i-th cell in the local city at the busy hour every seven days a week; a. thetotalmax1To Atotalmax7Respectively representing the second traffic sum corresponding to the busy wireless network system in the local city every day for seven days a week.
It should be noted that, the present invention may also adopt the above similar method to obtain the imbalance coefficients corresponding to all busy hours of the cells that are integrated for one month, or the imbalance coefficients corresponding to all busy hours of the cells that are integrated for one month, which is not described herein again.
Fig. 2 is a schematic structural diagram of an embodiment of a capacity configuration device of a wireless network according to the present invention, and as shown in fig. 2, the capacity configuration device of the wireless network according to the present embodiment includes: the system comprises a telephone traffic obtaining module 11, an imbalance coefficient obtaining module 12, a load sum obtaining module 13 and a capacity configuration module 14, wherein the telephone traffic obtaining module 11 is used for obtaining a first telephone traffic sum corresponding to busy hours of all cells in a local city and a second telephone traffic sum corresponding to busy hours of a wireless network system in the local city in a first preset time; the imbalance coefficient obtaining module 12 is configured to obtain an imbalance coefficient corresponding to the busy hour of all the cells according to the first traffic sum and the second traffic sum corresponding to all the cells; the telephone traffic obtaining module 11 is further configured to predict a third telephone traffic sum corresponding to the system busy hour at a second preset time; the load sum obtaining module 13 is configured to obtain a sum of loads corresponding to busy hours of all the cells according to the third traffic sum and the imbalance coefficient; the capacity configuration module 14 is configured to configure the capacity of the wireless network according to the sum of loads corresponding to all busy cells.
The capacity configuration device of the wireless network may be configured in a network element, for example: a Mobile Switching Center (MSC), a Base Station Controller (BSC), and a Radio Network Controller (RNC), etc.
The capacity configuration device of the wireless network of this embodiment may execute the technical solution of the method embodiment shown in fig. 1, and the implementation principles thereof are similar, and are not described here again.
In the embodiment, a first traffic sum corresponding to busy hours of all cells in a local city and a second traffic sum corresponding to busy hours of a wireless network system in the local city are obtained within a first preset time; and finally, configuring the capacity of the wireless network according to the sum of the loads corresponding to the busy hours of all the cells, so that the capacity of the wireless network is configured according to the sum of the loads corresponding to the busy hours of all the cells, and the sum of the loads is obtained by the imbalance coefficient, thereby ensuring that a user can smoothly communicate at any time and any place, and effectively improving the feeling of the user.
Further, in another embodiment of the present invention, on the basis of the embodiment shown in fig. 2, the imbalance coefficient obtaining module 12 is specifically configured to adopt a formula according to the first total traffic volume and the second total traffic volume corresponding to the busy hours of all the cells, and adopt a formula
Figure BDA0000130863860000051
Acquiring a first imbalance coefficient r1 corresponding to busy hours of all the cells every day;
wherein N represents the number of cells in the city; a. theimaxRepresents the first traffic volume corresponding to the i-th cell in the city when the cell is busy in each day, AtotalmaxAnd the second traffic sum corresponding to the busy time of the wireless network system in the local city is represented.
Further, in another embodiment of the present invention, on the basis of the embodiment shown in fig. 2, the imbalance coefficient obtaining module 12 is further specifically configured to adopt a formula according to the first sum of the traffic volumes corresponding to the busy hours of all the cells and the second sum of the traffic volumesAcquiring a second imbalance coefficient r corresponding to all busy hours of the cells which are integrated for one weekw1
Wherein N represents the number of cells in the city; a. theimax1To Aimax7Respectively representing first telephone traffic corresponding to the i-th cell in the local city at the busy hour every seven days a week; a. thetotalmax1To Atotalmax7Respectively representing the second traffic sum corresponding to the busy wireless network system in the local city every day for seven days a week.
Further, in another embodiment of the present invention, on the basis of the embodiment shown in fig. 2, the imbalance coefficient obtaining module 12 is further specifically configured to adopt a formula according to the sum of the first traffic volumes and the sum of the second traffic volumes corresponding to all the cells
Figure BDA0000130863860000061
Obtaining a third imbalance coefficient r corresponding to all busy hours of the cells which are averaged and integrated in a weekg1
Wherein N represents the number of cells in the city; a. theimax1To Aimax7Respectively representing first telephone traffic corresponding to the i-th cell in the local city at the busy hour every seven days a week; a. thetotalmax1To Atotalmax7Respectively representing the second traffic sum corresponding to the busy wireless network system in the local city every day for seven days a week.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (8)

1. A capacity configuration method of a wireless network, comprising:
in a first preset time, acquiring a first telephone traffic sum corresponding to busy hours of all cells in a local city and a second telephone traffic sum corresponding to busy hours of a wireless network system in the local city;
acquiring imbalance coefficients corresponding to all busy cells according to the first telephone traffic sum and the second telephone traffic sum corresponding to all busy cells;
predicting a third traffic sum corresponding to the system busy hour at a second preset time, and acquiring the load sum corresponding to all the cell busy hours according to the third traffic sum and the imbalance coefficient;
and configuring the capacity of the wireless network according to the sum of the loads.
2. The method for configuring capacity of a wireless network according to claim 1, wherein the obtaining the imbalance coefficients corresponding to all busy cells according to the first traffic sum and the second traffic sum corresponding to all busy cells comprises:
according to the sum of the first telephone traffic and the sum of the second telephone traffic corresponding to all the busy hours of the cells, adopting a formulaAcquiring a first imbalance coefficient r corresponding to busy hours of all the cells every day1
Wherein N represents the number of cells in the city; a. theimaxRepresenting a first traffic volume, A, corresponding to the ith cell in the city when the cell is busy in each daytotalmaxAnd the second traffic sum corresponding to the busy time of the wireless network system in the city is represented.
3. The method for configuring capacity of a wireless network according to claim 1, wherein the obtaining the imbalance coefficients corresponding to all busy cells according to the first traffic sum and the second traffic sum corresponding to all busy cells comprises:
according to the sum of the first telephone traffic and the sum of the second telephone traffic corresponding to all the busy hours of the cells, adopting a formula
Figure FDA0000130863850000012
Acquiring a second imbalance coefficient r corresponding to the busy hours of all the cells which are integrated for one weekw1
Wherein,n represents the number of cells in the city; a. theimax1To Aimax7Respectively representing first telephone traffic corresponding to the i-th cell in the city at the busy time every seven days a week; a. thetotalmax1To Atotalmax7Respectively representing the second traffic sum corresponding to the busy wireless network system in the local city every day for seven days a week.
4. The method for configuring capacity of a wireless network according to claim 1, wherein the obtaining the imbalance coefficients corresponding to all busy cells according to the first traffic sum and the second traffic sum corresponding to all busy cells comprises:
according to the sum of the first telephone traffic and the sum of the second telephone traffic corresponding to all the busy hours of the cells, adopting a formula
Figure FDA0000130863850000021
Obtaining a third imbalance coefficient r corresponding to the busy hours of all the cells which are averaged and integrated in a weekg1
Wherein N represents the number of cells in the city; a. theimax1To Aimax7Respectively representing first telephone traffic corresponding to the i-th cell in the city at the busy time every seven days a week; a. thetotalmax1To Atotalmax7Respectively representing the second traffic sum corresponding to the busy wireless network system in the local city every day for seven days a week.
5. A capacity configuration device for a wireless network, comprising:
the system comprises a telephone traffic acquisition module, a first time setting module and a second time setting module, wherein the telephone traffic acquisition module is used for acquiring a first telephone traffic sum corresponding to busy hours of all cells in a local city and a second telephone traffic sum corresponding to busy hours of a wireless network system in the local city in a first preset time;
the imbalance coefficient acquisition module is used for acquiring imbalance coefficients corresponding to all busy cells according to the first telephone traffic sum and the second telephone traffic sum corresponding to all busy cells;
the telephone traffic obtaining module is further used for predicting a third telephone traffic sum corresponding to the system busy hour at a second preset time;
a load sum obtaining module, configured to obtain the sum of loads corresponding to busy hours of all cells according to the third traffic sum and the imbalance coefficient;
and the capacity configuration module is used for configuring the capacity of the wireless network according to the sum of the loads.
6. The apparatus for configuring capacity of a wireless network according to claim 5, wherein the imbalance coefficient obtaining module is specifically configured to use a formula according to a sum of first traffic volumes and a sum of the second traffic volumes corresponding to busy hours of all the cells
Figure FDA0000130863850000022
Acquiring a first imbalance coefficient r corresponding to busy hours of all the cells every day1
Wherein N represents the number of cells in the city; a. theimaxRepresenting a first traffic volume, A, corresponding to the ith cell in the city when the cell is busy in each daytotalmaxAnd the second traffic sum corresponding to the busy time of the wireless network system in the city is represented.
7. The apparatus for configuring capacity of a wireless network according to claim 5, wherein the imbalance coefficient obtaining module is specifically configured to use a formula according to a sum of first traffic volumes and a sum of the second traffic volumes corresponding to busy hours of all the cells
Figure FDA0000130863850000031
Acquiring a second imbalance coefficient r corresponding to the busy hours of all the cells which are integrated for one weekw1
Wherein N represents the number of cells in the city; a. theimax1To Aimax7Respectively represents the second day of the weeki first telephone traffic corresponding to the busy hour of the cell; a. thetotalmax1To Atotalmax7Respectively representing the second traffic sum corresponding to the busy wireless network system in the local city every day for seven days a week.
8. The apparatus for configuring capacity of a wireless network according to claim 5, wherein the imbalance coefficient obtaining module is specifically configured to use a formula according to a sum of first traffic volumes and a sum of the second traffic volumes corresponding to busy hours of all the cells
Figure FDA0000130863850000032
Obtaining a third imbalance coefficient r corresponding to the busy hours of all the cells which are averaged and integrated in a weekg1
Wherein N represents the number of cells in the city; a. theimax1To Aimax7Respectively representing first telephone traffic corresponding to the i-th cell in the city at the busy time every seven days a week; a. thetotalmax1To Atotalmax7Respectively representing the second traffic sum corresponding to the busy wireless network system in the local city every day for seven days a week.
CN2012100114075A 2012-01-13 2012-01-13 Capacity allocation method of wireless network and capacity allocation device thereof Pending CN102547761A (en)

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CN104641710A (en) * 2014-06-30 2015-05-20 华为技术有限公司 Device, apparatus and method for cell resource distribution
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CN105992233A (en) * 2015-02-13 2016-10-05 中国移动通信集团浙江有限公司 Method and device for calculating capacity baseline of network service
CN105992280B (en) * 2015-02-13 2019-06-28 中国移动通信集团浙江有限公司 A kind of data processing method and device
CN105992233B (en) * 2015-02-13 2019-09-27 中国移动通信集团浙江有限公司 The capacity baseline calculation method and device of network service

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Application publication date: 20120704