WO2017067505A1 - 网络扩容方法及装置 - Google Patents

网络扩容方法及装置 Download PDF

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Publication number
WO2017067505A1
WO2017067505A1 PCT/CN2016/102869 CN2016102869W WO2017067505A1 WO 2017067505 A1 WO2017067505 A1 WO 2017067505A1 CN 2016102869 W CN2016102869 W CN 2016102869W WO 2017067505 A1 WO2017067505 A1 WO 2017067505A1
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WIPO (PCT)
Prior art keywords
service type
target service
target
cell
rate
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PCT/CN2016/102869
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English (en)
French (fr)
Inventor
廖慧
李海滨
王蓉
王志军
黄锦
肖吉
Original Assignee
中国联合网络通信集团有限公司
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Application filed by 中国联合网络通信集团有限公司 filed Critical 中国联合网络通信集团有限公司
Priority to ES16856936T priority Critical patent/ES2788178T3/es
Priority to JP2017559700A priority patent/JP6434659B2/ja
Priority to EP16856936.6A priority patent/EP3367719B1/en
Publication of WO2017067505A1 publication Critical patent/WO2017067505A1/zh
Priority to US15/807,400 priority patent/US10477413B2/en

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18—Network planning tools
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0876—Network utilisation, e.g. volume of load or congestion level
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/16—Threshold monitoring
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/535—Tracking the activity of the user
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/24—Cell structures
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition

Definitions

  • the present invention relates to the field of communications technologies, and in particular, to a network expansion method and apparatus.
  • the current network expansion method is mainly to expand the network according to the radio resource load of the cell. Specifically, if the radio resource utilization rate of the cell exceeds 60% and the number of online users exceeds 15, the network is expanded.
  • the radio resource utilization rate of the cell exceeds 60%, and the number of online users exceeds 15, but all online users are located in the center of the cell, that is, the user perceives well, and does not need to perform network.
  • the capacity is expanded, and the existing expansion method is used to determine that the cell needs to be expanded by the network, thereby causing waste of resources.
  • the present invention provides a network expansion method and device, which is used to solve the problem of resource waste caused by network expansion of a cell that does not need network expansion in the prior art.
  • a first aspect of the present invention provides a network expansion method, including:
  • the mobile user And collecting, by the mobile user, the online record information of the plurality of cells, where the mobile user's online record information includes a user identifier, a service type corresponding to the user identifier, and an uplink traffic, a downlink traffic, and an online time length corresponding to the service type;
  • the target service type in the cell is obtained according to the total traffic corresponding to the target service type in the cell and the online time length corresponding to the target service type. s speed;
  • the Internet access duration corresponding to the different cells, and other target service types other than the target service type, the Internet access duration corresponding to the different cells, and the target service type Obtaining the weight of the target service type and the number of concurrent services of the single user, the number of the corresponding user identifiers, and the number of records of the target service type in the user identifier corresponding to the target service type;
  • the target rate and the actual average of the single user experience of the cell are obtained according to the uplink traffic, the downlink traffic, the Internet access time, the target rate, the weight, and the number of concurrent services of the single-user in the cell.
  • User experience rate For each cell, the target rate and the actual average of the single user experience of the cell are obtained according to the uplink traffic, the downlink traffic, the Internet access time, the target rate, the weight, and the number of concurrent services of the single-user in the cell.
  • the radio resource utilization rate and the number of online users in the cell are obtained, and are determined according to the target rate of the single user experience of the cell and the actual average user experience rate, and the radio resource utilization rate and the number of online users.
  • a target cell where the target rate of the single-user experience of the target cell is greater than the actual average user experience rate of the target cell, and the radio resource utilization of the target cell is greater than a preset threshold and an online user of the target cell The number is greater than a preset threshold;
  • a second aspect of the present invention provides a network expansion device, including:
  • the collecting module is configured to collect the online record information of the mobile user of the multiple cells, where the mobile user's online record information includes the user identifier, the service type corresponding to the user identifier, and the uplink traffic and the downlink traffic corresponding to the service type. And the length of the Internet;
  • the first obtaining module is configured to obtain, according to each service type in the multiple cells, an uplink traffic and a downlink traffic corresponding to the service type, and a preset threshold corresponding to each service type, respectively acquiring each cell Target business type;
  • a second acquiring module configured to acquire a rate of the target service type in the cell according to the total traffic corresponding to the target service type in the cell and the online time length corresponding to the target service type for each cell;
  • a third obtaining module configured to obtain, according to the target service type, a target rate of the target service type according to the target service type at a rate corresponding to the target service type;
  • a fourth obtaining module configured, for each target service type, according to the target service type, the Internet access duration corresponding to different cells, and other target service types except the target service type, corresponding to the Internet access time of different cells And the number of the user identifiers corresponding to the target service type, and the number of records of the target service type in the user identifier corresponding to the target service type, and the weight of the target service type and the number of concurrent services of the single user.
  • the fifth obtaining module is configured to acquire, for each cell, a single user of the cell according to the uplink traffic, the downlink traffic, the Internet access duration, the target rate, the weight, and the number of concurrent services of the single-user, The target rate of experience and the actual average user experience rate;
  • a determining module configured to acquire a radio resource utilization rate and an online user number in the cell for each cell, and according to a target rate and an actual average user experience rate of the single user experience of the cell, and a radio resource utilization rate and Determining a target cell, where the target rate of the single-user experience of the target cell is greater than the actual average user experience rate of the target cell, and the radio resource utilization of the target cell is greater than a preset threshold and the The number of online users in the target cell is greater than a preset threshold;
  • the expansion module is configured to perform network expansion processing on the target cell.
  • the present invention provides a network expansion method and device, which includes collecting mobile Internet access record information of a plurality of cells, wherein the mobile user's online record information includes a user identifier, a service type corresponding to the user identifier, and an uplink traffic corresponding to the service type.
  • the downlink traffic and the duration of the Internet access; the target traffic types in each cell are respectively obtained according to the service types in the multiple cells, the uplink traffic and the downlink traffic corresponding to each service type, and the preset thresholds corresponding to the service types; For each cell, the rate of the target service type in the cell is obtained according to the total traffic corresponding to the target service type in the cell and the time length of the network corresponding to the target service type; for each target service type, corresponding to the target service type in different cells.
  • Rate the target rate of the target service type; for each target service type, the time length of the Internet according to the target service type in different cells, and other target service types other than the target service type in different cells
  • target business type The number of the user IDs and the number of records of the target service type corresponding to the target service type, the weight of the target service type and the number of concurrent services of the single user; for each cell, according to the target service type in the cell
  • the uplink traffic, the downlink traffic, the Internet access time, the target rate, the weight, and the number of concurrent services of a single user obtain the target rate of the single user experience of the cell and the actual average user experience rate; for each cell, acquire the radio resource utilization in the cell Rate and the number of online users, and determine the target cell according to the target rate of the single user experience of the cell and the actual average user experience rate, and the radio resource utilization rate and the number of online users; wherein the target rate of the single-user experience of the target cell is greater than the target rate The actual average user experience rate of the cell, and the
  • Embodiment 1 is a schematic flowchart of Embodiment 1 of a network expansion method according to the present invention
  • Embodiment 2 is a schematic flowchart of Embodiment 2 of a network expansion method according to the present invention
  • Embodiment 3 is a schematic flowchart of Embodiment 3 of a network expansion method according to the present invention.
  • Embodiment 4 is a schematic flowchart of Embodiment 4 of a network expansion method according to the present invention.
  • FIG. 5 is a schematic flowchart of Embodiment 5 of a network expansion method according to the present invention.
  • FIG. 6 is a schematic flowchart of Embodiment 6 of a network expansion method according to the present invention.
  • FIG. 7 is a schematic flowchart of Embodiment 7 of a network expansion method according to the present invention.
  • FIG. 8 is a schematic structural diagram of Embodiment 1 of a network expansion device according to the present invention.
  • FIG. 9 is a schematic structural diagram of Embodiment 2 of a network expansion device according to the present invention.
  • Embodiment 3 of a network expansion device according to the present invention.
  • FIG. 11 is a schematic structural diagram of Embodiment 4 of a network expansion device according to the present invention.
  • Embodiment 5 of a network expansion device according to the present invention.
  • FIG. 13 is a schematic structural diagram of Embodiment 6 of a network expansion device according to the present invention.
  • FIG. 14 is a schematic structural diagram of Embodiment 7 of a network expansion device according to the present invention.
  • FIG. 1 is a schematic flowchart of Embodiment 1 of a network expansion method according to the present invention. As shown in FIG. 1 , the method includes:
  • step 101 the mobile user records information of the mobile phone of the plurality of cells is collected, wherein the mobile user's online record information includes the user identifier, the service type corresponding to the user identifier, and the uplink traffic, the downlink traffic, and the Internet access duration corresponding to the service type.
  • step 102 the target service type in each cell is obtained according to each service type in the multiple cells, the uplink traffic and the downlink traffic corresponding to each service type, and the preset threshold corresponding to each service type.
  • Step 103 For each cell, obtain the rate of the target service type in the cell according to the total traffic corresponding to the target service type in the cell and the online time length corresponding to the target service type.
  • Step 104 For each target service type, obtain a target rate of the target service type according to a rate corresponding to the target service type at different cells.
  • Step 105 For each target service type, according to the target service type, the time length of the Internet access corresponding to the different cell and the target service type other than the target service type are corresponding to the access time of the different cells and the user corresponding to the target service type.
  • Step 106 For each cell, obtain the target rate and the actual average user of the single user experience of the cell according to the uplink traffic, the downlink traffic, the Internet access duration, the target rate, the weight, and the number of concurrent services of the single-user in the cell. Experience the rate.
  • Step 107 For each cell, acquire radio resource utilization rate in the cell and use online The number of users, and the target cell is determined according to the target rate of the single user experience of the cell and the actual average user experience rate, and the radio resource utilization rate and the number of online users; wherein the target rate of the single cell experience of the target cell is greater than the actual target cell The average user experience rate, and the radio resource utilization of the target cell is greater than a preset threshold, and the number of online users of the target cell is greater than a preset threshold.
  • Step 108 Perform network expansion processing on the target cell.
  • the mobile user records information of the mobile phone of the plurality of cells, wherein the mobile user's online record information includes the user identifier, the service type corresponding to the user identifier, and the uplink traffic, the downlink traffic, and the Internet access duration corresponding to the service type;
  • Each service type in each of the multiple cells, the uplink traffic and the downlink traffic corresponding to each service type, and the preset threshold corresponding to each service type respectively acquire the target service type in each cell; for each cell, according to the cell The total traffic corresponding to the target service type and the Internet access time corresponding to the target service type, and the rate of the target service type in the cell is obtained.
  • the target service type is obtained according to the target service type at a rate corresponding to the different cell.
  • Target time rate for each target service type, according to the target service type, the time length of the Internet corresponding to the different cell, and the target service type other than the target service type are corresponding to the Internet access time of the different cell and the target service type.
  • the uplink traffic, downlink traffic, and Internet access time according to the target service type in the cell.
  • the target rate, the weight, and the number of concurrent services of the single user obtain the target rate of the single user experience of the cell and the actual average user experience rate; for each cell, acquire the radio resource utilization rate and the number of online users in the cell, and according to the cell
  • the target rate of the single user experience and the actual average user experience rate, and the radio resource utilization rate and the number of online users determine the target cell; wherein the target rate of the single user experience of the target cell is greater than the actual average user experience rate of the target cell, and
  • the radio resource utilization of the target cell is greater than a preset threshold, and the number of online users of the target cell is greater than a preset threshold; network capacity expansion is performed on the target cell, so that the radio resource utilization rate, the actual average user experience rate, and the single user experience may be used according to the cell. Head Rate, target expansion area, expansion of the network to the target cell, thereby improving the user experience in the target cell, while avoiding the user experience good cell capacity expansion, resulting in a waste of resources.
  • FIG. 2 is a schematic flowchart of Embodiment 2 of a network expansion method according to the present invention. As shown in FIG. 2, the method includes:
  • Step 201 Collecting online information of mobile users of multiple cells, wherein the mobile user's online record information includes a user identifier, a service type corresponding to the user identifier, and an uplink traffic, a downlink traffic, and an Internet access duration corresponding to the service type.
  • step 202 the target service type in each cell is obtained according to each service type in the multiple cells, the uplink traffic and the downlink traffic corresponding to each service type, and the preset threshold corresponding to each service type.
  • Step 203 For each cell, obtain the rate of the target service type in the cell according to the total traffic corresponding to the target service type in the cell and the online time length corresponding to the target service type.
  • Step 204 Sort, for each target service type, the rate corresponding to the target service type in different cells according to the order from large to small.
  • Step 205 Extract the rate corresponding to the target service type in the different cells according to the preset percentage, and perform average processing on the rate corresponding to the target service type in different cells to obtain the target service.
  • the target rate of the type is
  • Step 206 For each target service type, according to the target service type, the time length of the Internet access corresponding to the different cell, the target service type other than the target service type, and the user corresponding to the target service type in different cells The number of the identifiers and the number of records of the target service type under the user ID corresponding to the target service type, and the weight of the target service type and the number of concurrent services of the single user.
  • Step 207 For each cell, obtain the target rate and the actual average user of the single user experience of the cell according to the uplink traffic, the downlink traffic, the network access duration, the target rate, the weight, and the number of concurrent services of the single user in the cell. Experience the rate.
  • Step 208 For each cell, obtain the radio resource utilization rate and the number of online users in the cell, and determine the target according to the target rate of the single user experience of the cell and the actual average user experience rate, and the radio resource utilization rate and the number of online users.
  • the target rate of the single-user experience of the target cell is greater than the actual average user experience rate of the target cell, and the radio resource utilization of the target cell is greater than a preset threshold and the number of online users of the target cell is greater than a preset threshold.
  • Step 209 Perform network expansion processing on the target cell.
  • the target service type after the sorting process is performed according to the preset percentage.
  • the rate corresponding to the different cell is extracted, and the rate corresponding to the target service type in different cells is averaged to obtain the target rate of the target service type, thereby improving the target rate of the target service type. effectiveness.
  • FIG. 3 is a schematic flowchart of Embodiment 3 of a network expansion method according to the present invention. As shown in FIG. 3, the method includes:
  • Step 301 Collecting online information of the mobile users of the plurality of cells, wherein the mobile user's online record information includes the user identifier, the service type corresponding to the user identifier, and the uplink traffic, the downlink traffic, and the Internet access duration corresponding to the service type.
  • Step 302 For each cell, obtain the total traffic of each service type in the cell according to each service type in the cell and the uplink traffic and downlink traffic corresponding to each service type.
  • Step 303 Obtain a target service type according to a total traffic of each service type in the cell and a preset threshold corresponding to each service type.
  • the total traffic of the target service type is greater than a preset threshold corresponding to the target service type.
  • Step 304 For each cell, obtain the rate of the target service type in the cell according to the total traffic corresponding to the target service type in the cell and the online time length corresponding to the target service type.
  • Step 305 For each target service type, obtain a target rate of the target service type according to the target service type at a rate corresponding to the different cell.
  • Step 306 For each target service type, according to the target service type, the online time length corresponding to the different cell, the target service type other than the target service type, and the user corresponding to the target service type in different cells The number of the identifiers and the number of records of the target service type under the user ID corresponding to the target service type, and the weight of the target service type and the number of concurrent services of the single user.
  • Step 307 For each cell, obtain the target rate and the actual average user of the single user experience of the cell according to the uplink traffic, the downlink traffic, the network access duration, the target rate, the weight, and the number of concurrent services of the single user in the cell. Experience the rate.
  • Step 308 For each cell, obtain the radio resource utilization rate and the number of online users in the cell, and according to the target rate of the single user experience of the cell and the actual average user experience rate, And determining the target cell by using the radio resource utilization rate and the number of online users, where the target rate of the single-user experience of the target cell is greater than the actual average user experience rate of the target cell, and the radio resource utilization of the target cell is greater than a preset threshold and the target cell.
  • the number of online users is greater than the preset threshold.
  • Step 309 Perform network expansion processing on the target cell.
  • the total traffic of each service type in the cell is obtained according to each service type in the cell and the uplink traffic and the downlink traffic corresponding to each service type, according to the total service type of the cell.
  • the traffic and the preset threshold corresponding to each service type, and the target service type is obtained.
  • the total traffic of the target service type is greater than the preset threshold corresponding to the target service type, so that different target services can be obtained according to the actual application scenario. Types of.
  • FIG. 4 is a schematic flowchart of Embodiment 4 of a network expansion method according to the present invention. As shown in FIG. 4, the method includes:
  • Step 401 Collecting online information of mobile users of multiple cells, wherein the mobile user's online record information includes a user identifier, a service type corresponding to the user identifier, and an uplink traffic, a downlink traffic, and an Internet access duration corresponding to the service type.
  • the target service type in each cell is obtained according to each service type in the multiple cells, the uplink traffic and the downlink traffic corresponding to each service type, and the preset threshold corresponding to each service type.
  • Step 403 For each cell, obtain the rate of the target service type in the cell according to the total traffic corresponding to the target service type in the cell and the online time length corresponding to the target service type.
  • Step 404 Sort, for each target service type, the rate corresponding to the target service type in different cells according to the order from large to small.
  • Step 405 Extract the rate corresponding to the target service type in the different cells according to the preset percentage, and perform average processing on the rate corresponding to the target service type in different cells to obtain the target service.
  • the target rate of the type is
  • Step 406 For the jth cell where each target service type is located, obtain the network access duration corresponding to the target service type in the jth cell, and the total network access duration corresponding to all target types in the jth cell, and obtain the jth of the target service type. The weight of the community.
  • the weight of the jth cell where the target service type is located is equal to the jth cell.
  • the duration of the Internet access corresponding to the target service type is divided by the total duration of the Internet access corresponding to all target types in the jth cell.
  • Step 407 According to the number of user identifiers corresponding to the target service type in the jth cell and the number of records of the target service type corresponding to the target service type, the j-th cell corresponding to each target service type is used according to the formula. (1):
  • C j is the number of concurrent services of the single user in the jth cell
  • n j is the total number of target service types in the jth cell
  • N ij is the number of records of the i-th target service type in the jth cell
  • M ij is the j-th small area using the number of users of class i target service type
  • j is a positive integer.
  • Step 408 For each cell, obtain the target rate and the actual average user of the single user experience of the cell according to the uplink traffic, the downlink traffic, the Internet access time, the target rate, the weight, and the number of concurrent services of the single user in the cell. Experience the rate.
  • Step 409 For each cell, obtain the radio resource utilization rate and the number of online users in the cell, and determine the target according to the target rate of the single user experience of the cell and the actual average user experience rate, and the radio resource utilization rate and the number of online users.
  • the target rate of the single-user experience of the target cell is greater than the actual average user experience rate of the target cell, and the radio resource utilization of the target cell is greater than a preset threshold and the number of online users of the target cell is greater than a preset threshold.
  • Step 410 Perform network expansion processing on the target cell.
  • the target service type for each cell in which the target service type is located, obtain the network access duration corresponding to the target service type in the cell, and the total network access duration corresponding to all the target types in the cell, and obtain the weight of the cell where the target service type is located, Obtaining the number of concurrent services of a single user, according to the number of user identifiers corresponding to the target service type in the cell, and the number of records of the target service type corresponding to the target service type, Therefore, the weight of the cell where the target service type is obtained and the efficiency of the number of concurrent services of the single user in the cell are improved.
  • FIG. 5 is a schematic flowchart of Embodiment 5 of the network expansion method according to the present invention.
  • the network expansion party provided in Embodiment 5 of the present invention is shown in FIG.
  • step 408 for each cell, according to the uplink traffic, the downlink traffic, the Internet access duration, the target rate, the weight, and the number of concurrent services of the single-user, the target rate of the single-user experience of the cell is obtained.
  • Actual average user experience rate including:
  • Step 501 According to the target rate of the target service type of the cell, the weight of the target service type, and the number of concurrent services of the single user, formula (2) is adopted:
  • V Oj is a target rate of a single user experience in the jth cell
  • i is a service type
  • V ij is a target rate of the i-th target service type in the jth cell
  • W ij is the weight of the i-th target service type in the jth cell
  • C j is the number of single-user average concurrent services in the j-th cell
  • n j is the total number of target service types in the j-th cell
  • j is positive Integer.
  • Step 502 For each target service type, obtain the total traffic of all the target service types and the total network access time of all the target service types according to the uplink traffic, the downlink traffic, and the Internet access time of the target service type of all the cells, and obtain the actual average of the cells. User experience rate.
  • the target rate of the target service type, the number of concurrent services of a single user of each cell, and the weight of the target service type in each cell are obtained to obtain a target rate of a single user experience in each cell, such that for each The cells can determine the target cell according to the radio resource utilization rate in the cell and the number of online users, and determine the target cell according to the target rate of the single user experience of the cell and the actual average user experience rate, thereby improving the accuracy of determining the target cell.
  • FIG. 6 is a schematic flowchart of the sixth embodiment of the network expansion method according to the present invention.
  • step 206 For each target service type, the duration of the Internet access corresponding to the target service type in different cells, and the target service type other than the target service type, the number of Internet accesses corresponding to different cells, and the number of user identifiers corresponding to the target service type. And the number of records of the target service type under the user identifier corresponding to the target service type, the weight of the target service type, and the number of concurrent services of the single user, including:
  • Step 601 For each target service type in all the cells, obtain the total network access duration corresponding to the target service type in all the cells, and the total network access duration corresponding to all the target types in all the cells, and obtain the weight of the target service type in all the cells.
  • Step 602 According to the number of user identifiers corresponding to the target service type in all cells, And the number of records of the target service type under the user ID corresponding to the target service type, using formula (3):
  • C is the number of concurrent services of a single user of the target service type
  • n is the total number of target service types in all cells
  • N i is the number of records of the i-th target service type in all cells
  • M i is used in all cells The number of users of the i-type target business type.
  • the time length of the Internet access corresponding to the target service type in all the cells, and the total network access duration corresponding to all the target types in all the cells are obtained, and the target service type is obtained in all the cells.
  • the weight of the user according to the number of user identifiers corresponding to the target service type in all the cells, and the number of records of the target service type corresponding to the target service type, obtain the number of concurrent services of the single-user of the target service type, thereby improving the acquisition.
  • FIG. 7 is a schematic flowchart of Embodiment 7 of the network expansion method according to the present invention.
  • step 408 for each The cell obtains the target rate and the actual average user experience rate of the single user experience of the cell according to the uplink traffic, the downlink traffic, the Internet access time, the target rate, the weight, and the number of the concurrent services of the single-user, including:
  • Step 701 According to the target rate of the target service type, the weight of the target service type, and the number of concurrent services of the single user, formula (4) is adopted:
  • V O is the target rate of the single user experience in the cell
  • i is a positive integer
  • V i is the target rate of the i-th target service type
  • W i is the weight of the i-th target service type in all cells
  • C is all The average number of concurrent services for a single user in a cell
  • n is the number of target service types in all cells.
  • Step 702 For each target service type, according to a target service type of all cells. The total traffic of all target service types and the total network access time of all target service types are obtained, and the actual average user experience rate of the cell is obtained.
  • the target rate of the target service type, the number of concurrent services of the single user in all the cells, and the weight of the target service type in all the cells are obtained, so as to obtain the target rate of the single user experience of the cell, thereby improving the cell list.
  • FIG. 8 is a schematic structural diagram of Embodiment 1 of a network expansion device according to the present invention. As shown in FIG. 8, the device includes: an acquisition module 10, a first acquisition module 11, a second acquisition module 12, and a third acquisition module 13, The four acquisition module 14, the fifth acquisition module 15, the determination module 16, and the expansion module 17.
  • the collecting module 10 is configured to collect the online record information of the mobile user of the plurality of cells, wherein the mobile user's online record information includes the user identifier, the service type corresponding to the user identifier, and the uplink traffic, the downlink traffic, and the Internet access duration corresponding to the service type.
  • the first obtaining module 11 is configured to acquire target services in each cell according to each service type in the multiple cells, uplink traffic and downlink traffic corresponding to each service type, and preset thresholds corresponding to each service type. Types of.
  • the second obtaining module 12 is configured to obtain, for each cell, a rate of the target service type in the cell according to the total traffic corresponding to the target service type in the cell and the online time length corresponding to the target service type.
  • the third obtaining module 13 is configured to obtain a target rate of the target service type according to the target service type at a rate corresponding to the different cell according to the target service type.
  • the fourth obtaining module 14 is configured to, for each target service type, the duration of the Internet access and the target corresponding to different target cells in the different cell according to the target service type, and the target service type other than the target service type.
  • the fifth obtaining module 15 is configured to acquire, for each cell, a target of a single user experience of the cell according to the uplink traffic, the downlink traffic, the Internet access duration, the target rate, the weight, and the number of concurrent services of the single user in the cell. Rate and actual average user experience rate.
  • the determining module 16 is configured to acquire, for each cell, a radio resource utilization rate in the cell. And determining the target cell according to the target rate of the single user experience of the cell and the actual average user experience rate, and the radio resource utilization rate and the number of online users; wherein the target cell has a target rate greater than the target cell
  • the actual average user experience rate, and the radio resource utilization of the target cell is greater than a preset threshold, and the number of online users of the target cell is greater than a preset threshold.
  • the expansion module 17 is configured to perform network expansion processing on the target cell.
  • the network expansion device in this embodiment may perform the technical solution of the method embodiment shown in FIG. 1 , and the implementation principle and the beneficial effects are similar, and details are not described herein again.
  • FIG. 9 is a schematic structural diagram of Embodiment 2 of a network expansion device according to the present invention.
  • the third obtaining module 13 includes:
  • the sorting unit 130 is configured to sort the target service types at different rates corresponding to different cells in descending order for each target service type.
  • the extracting unit 131 is configured to extract the rate corresponding to the target service type in the different cells according to the preset percentage.
  • the first target rate obtaining unit 132 is configured to perform an average processing on the rate corresponding to the extracted target service type in different cells to obtain a target rate of the target service type.
  • the network expansion device in this embodiment may perform the technical solution of the method embodiment shown in FIG. 2, and the implementation principle and the beneficial effects are similar, and details are not described herein again.
  • FIG. 10 is a schematic structural diagram of Embodiment 3 of a network expansion device according to the present invention. As shown in FIG. 10, on the basis of the foregoing Embodiment 1, the first obtaining module 11 includes:
  • the traffic obtaining unit 110 is configured to obtain, for each cell, total traffic of each service type in the cell according to each service type in the cell and uplink traffic and downlink traffic corresponding to each service type.
  • the target service type obtaining unit 111 is configured to obtain a target service type according to the total traffic of each service type in the cell and a preset threshold corresponding to each service type, where the total traffic of the target service type is greater than the pre-target corresponding to the target service type. Set the threshold.
  • the network expansion device in this embodiment may perform the technical solution of the method embodiment shown in FIG. 3, and the implementation principle and the beneficial effects are similar, and details are not described herein again.
  • FIG. 11 is a schematic structural diagram of Embodiment 4 of a network expansion device according to the present invention.
  • the fourth obtaining module 14 includes:
  • the first weight obtaining unit 140 is configured to obtain, for the jth cell where each target service type is located, the time length of the Internet access corresponding to the target service type in the j cell, and the total time of the online time corresponding to all the target types in the jth cell, and obtain the target service.
  • the first concurrent service number obtaining unit 141 is configured to correspond to the j-th cell where each target service type is located, according to the number of user identifiers corresponding to the target service type in the j-th cell, and the target of the user identifier corresponding to the target service type.
  • the number of records for the business type using the formula (1):
  • C j is the number of concurrent services of the single user in the jth cell
  • n j is the total number of target service types in the jth cell
  • N ij is the number of records of the i-th target service type in the jth cell
  • M ij is the j-th small area using the number of users of class i target service type
  • j is a positive integer.
  • the network expansion device in this embodiment may perform the technical solution of the method embodiment shown in FIG. 4, and the implementation principle and the beneficial effects are similar, and details are not described herein again.
  • FIG. 12 is a schematic structural diagram of Embodiment 5 of a network expansion device according to the present invention. As shown in FIG. 12, on the basis of Embodiment 4, the fifth obtaining module 15 includes:
  • the second target rate obtaining unit 150 is configured to adopt formula (2) according to the target rate of the target service type of the cell, the weight of the target service type, and the number of concurrent services of the single user:
  • V Oj is a target rate of a single user experience in the jth cell
  • i is a service type
  • V ij is a target rate of the i-th target service type in the jth cell
  • W ij is the weight of the i-th target service type in the jth cell
  • C j is the number of single-user average concurrent services in the j-th cell
  • n j is the total number of target service types in the j-th cell
  • j is positive Integer
  • the first experience rate obtaining unit 151 is configured to obtain, for each target service type, total traffic of all target service types and total Internet access of all target service types according to uplink traffic, downlink traffic, and Internet access duration of the target service type of all cells. The duration, the actual average user experience rate of the cell is obtained.
  • the network expansion device in this embodiment can execute the technical method of the method embodiment shown in FIG.
  • the implementation principle and beneficial effects are similar, and will not be described here.
  • FIG. 13 is a schematic structural diagram of Embodiment 6 of the network expansion device according to the present invention.
  • the fourth obtaining module 14 includes:
  • the second weight obtaining unit 142 is configured to obtain, for each target service type in all the cells, an Internet access duration corresponding to the target service type in all the cells, and a total network access duration corresponding to all the target types in all the cells, and obtain the target service type in the The weight in all cells.
  • the second concurrent service number obtaining unit 143 is configured to adopt the formula (3) according to the number of user identifiers corresponding to the target service type in all cells and the number of records of the target service type under the user identifier corresponding to the target service type.
  • C is the number of concurrent services of a single user of the target service type
  • n is the total number of target service types in all cells
  • N i is the number of records of the i-th target service type in all cells
  • M i is used in all cells The number of users of the i-type target business type.
  • the network expansion device in this embodiment may perform the technical solution of the method embodiment shown in FIG. 6, and the implementation principle and the beneficial effects are similar, and details are not described herein again.
  • FIG. 14 is a schematic structural diagram of Embodiment 7 of the network expansion device according to the present invention.
  • the fifth obtaining module 15 includes:
  • the third target rate obtaining unit 152 is configured to adopt formula (4) according to the target rate of the target service type, the weight of the target service type, and the number of concurrent services of the single user:
  • V O is a target rate of a single user experience in the cell
  • i is a positive integer
  • V i is a target rate of the i-th target service type
  • Wi is the i-th in all cells
  • the weight of the class target service type, C is the number of single-user average concurrent services in all cells
  • n is the number of target service types in all cells.
  • the second experience rate obtaining unit 153 is configured to obtain, for each target service type, total traffic of all target service types and total Internet access of all target service types according to uplink traffic, downlink traffic, and Internet access duration of the target service type of all cells. Duration, get the actual situation of the community Average user experience rate.
  • the network expansion device in this embodiment can perform the technical solution of the method embodiment shown in FIG. 7, and the implementation principle and the beneficial effects are similar, and details are not described herein again.
  • the aforementioned program can be stored in a computer readable storage medium.
  • the program when executed, performs the steps including the foregoing method embodiments; and the foregoing storage medium includes various media that can store program codes, such as a ROM, a RAM, a magnetic disk, or an optical disk.

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Abstract

本发明提供一种网络扩容方法及装置，包括，采集多个小区的移动用户上网记录信息；根据多个小区内的各业务类型、各业务类型对应的上行流量和下行流量，以及各业务类型对应的预设门限值，分别获取每个小区内的目标业务类型；对于每个小区，获取小区内目标业务类型的速率；对于每个目标业务类型，根据目标业务类型在不同的小区对应的速率，获取目标业务类型的目标速率；对于每个小区，获取小区的单用户体验的目标速率和实际平均用户体验速率；对于每个小区，根据小区的单用户体验的目标速率和实际平均用户体验速率，以及无线资源利用率和在线用户数，确定目标小区；对目标小区进行网络扩容处理，本发明可以提高网络扩容的效果，同时避免了资源浪费。

Description

网络扩容方法及装置 技术领域
本发明涉及通信技术领域，尤其涉及一种网络扩容方法及装置。
背景技术
随着智能终端的迅速普及，移动互联网的数据业务所承载的流量迅猛增长，而现有的网络容量已经不能满足用户日常的上网需求，需要对网络的容量进行扩展，这种方法还可以称之为网络扩容。
目前的网络扩容方法主要是根据小区的无线资源负载的情况进行网络扩容，具体地，如果小区的无线资源利用率超过60％，且在线用户超过15个时，则对该小区进行网络扩容。
但是，在一些特殊的场景下，例如，小区的无线资源利用率超过60％，且在线用户超过15个，但是所有的在线用户均位于小区的中心，即用户感知很好，并不需要进行网络扩容，而采用现有的扩容方法该小区却被判定为需要进行网络扩容的小区，从而造成资源的浪费。
发明内容
本发明提供一种网络扩容方法及装置，用于解决现有技术中将不需要进行网络扩容的小区进行网络扩容从而造成资源浪费的问题。
本发明第一方面提供一种网络扩容方法，包括：
采集多个小区的移动用户上网记录信息，其中，所述移动用户上网记录信息包括用户标识、所述用户标识对应的业务类型，以及所述业务类型对应的上行流量、下行流量以及上网时长；
根据所述多个小区内的各业务类型、所述各业务类型对应的上行流量和下行流量，以及各业务类型对应的预设门限值，分别获取每个小区内的目标业务类型；
对于每个小区，根据所述小区内的目标业务类型对应的总流量以及所述目标业务类型对应的上网时长，获取所述小区内所述目标业务类型 的速率；
对于每个目标业务类型，根据所述目标业务类型在不同的小区对应的速率，获取所述目标业务类型的目标速率；
对于每个目标业务类型，根据所述目标业务类型在不同的小区对应的上网时长、除所述目标业务类型之外的其他目标业务类型在不同的小区对应的上网时长、与所述目标业务类型对应的用户标识的数量，以及与所述目标业务类型对应的用户标识下所述目标业务类型的记录数量，获取所述目标业务类型的权重和单用户的并发业务数；
对于每个小区，根据所述小区内的目标业务类型的上行流量、下行流量、上网时长、目标速率、权重以及单用户的并发业务数，获取所述小区的单用户体验的目标速率和实际平均用户体验速率；
对于每个小区，获取所述小区内的无线资源利用率以及在线用户数，并根据所述小区的单用户体验的目标速率和实际平均用户体验速率，以及无线资源利用率和在线用户数，确定目标小区；其中，所述目标小区的单用户体验的目标速率大于所述目标小区的实际平均用户体验速率，且所述目标小区的无线资源利用率大于预设阈值以及所述目标小区的在线用户数大于预设阈值；
对所述目标小区进行网络扩容处理。
本发明第二方面提供一种网络扩容装置，包括：
采集模块，用于采集多个小区的移动用户上网记录信息，其中，所述移动用户上网记录信息包括用户标识、所述用户标识对应的业务类型，以及所述业务类型对应的上行流量、下行流量以及上网时长；
第一获取模块，用于根据所述多个小区内的各业务类型、所述各业务类型对应的上行流量和下行流量，以及各业务类型对应的预设门限值，分别获取每个小区内的目标业务类型；
第二获取模块，用于对于每个小区，根据所述小区内的目标业务类型对应的总流量以及所述目标业务类型对应的上网时长，获取所述小区内所述目标业务类型的速率；
第三获取模块，用于对于每个目标业务类型，根据所述目标业务类型在不同的小区对应的速率，获取所述目标业务类型的目标速率；
第四获取模块，用于对于每个目标业务类型，根据所述目标业务类型在不同的小区对应的上网时长、除所述目标业务类型之外的其他目标业务类型在不同的小区对应的上网时长、与所述目标业务类型对应的用户标识的数量，以及与所述目标业务类型对应的用户标识下所述目标业务类型的记录数量，获取所述目标业务类型的权重和单用户的并发业务数；
第五获取模块，用于对于每个小区，根据所述小区内的目标业务类型的上行流量、下行流量、上网时长、目标速率、权重以及单用户的并发业务数，获取所述小区的单用户体验的目标速率和实际平均用户体验速率；
确定模块，用于对于每个小区，获取所述小区内的无线资源利用率以及在线用户数，并根据所述小区的单用户体验的目标速率和实际平均用户体验速率，以及无线资源利用率和在线用户数，确定目标小区；其中，所述目标小区的单用户体验的目标速率大于所述目标小区的实际平均用户体验速率，且所述目标小区的无线资源利用率大于预设阈值以及所述目标小区的在线用户数大于预设阈值；
扩容模块，用于对所述目标小区进行网络扩容处理。
本发明提供一种网络扩容方法及装置，包括，采集多个小区的移动用户上网记录信息，其中，移动用户上网记录信息包括用户标识、用户标识对应的业务类型，以及业务类型对应的上行流量、下行流量以及上网时长；根据多个小区内的各业务类型、各业务类型对应的上行流量和下行流量，以及各业务类型对应的预设门限值，分别获取每个小区内的目标业务类型；对于每个小区，根据小区内的目标业务类型对应的总流量以及目标业务类型对应的上网时长，获取小区内目标业务类型的速率；对于每个目标业务类型，根据目标业务类型在不同的小区对应的速率，获取目标业务类型的目标速率；对于每个目标业务类型，根据目标业务类型在不同的小区对应的上网时长、除目标业务类型之外的其他目标业务类型在不同的小区对应的上网时长、与目标业务类型对应的用户标识的数量，以及与目标业务类型对应的用户标识下目标业务类型的记录数量，获取目标业务类型的权重和单用户的并发业务数；对于每个小区，根据小区内的目标业务类型 的上行流量、下行流量、上网时长、目标速率、权重以及单用户的并发业务数，获取小区的单用户体验的目标速率和实际平均用户体验速率；对于每个小区，获取小区内的无线资源利用率以及在线用户数，并根据小区的单用户体验的目标速率和实际平均用户体验速率，以及无线资源利用率和在线用户数，确定目标小区；其中，目标小区的单用户体验的目标速率大于目标小区的实际平均用户体验速率，且目标小区的无线资源利用率大于预设阈值以及目标小区的在线用户数大于预设阈值；对目标小区进行网络扩容处理，这样可以根据小区的无线资源利用率、实际平均用户体验速率以及单用户体验的目标速率，确定目标扩容小区，对目标小区进行网络扩容，从而提高了目标小区内的用户体验，同时避免了对用户体验良好的小区进行扩容，造成资源浪费的问题。
附图说明
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作一简单地介绍，显而易见地，下面描述中的附图是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1为本发明提供的网络扩容方法实施例一的流程示意图；
图2为本发明提供的网络扩容方法实施例二的流程示意图；
图3为本发明提供的网络扩容方法实施例三的流程示意图；
图4为本发明提供的网络扩容方法实施例四的流程示意图；
图5为本发明提供的网络扩容方法实施例五的流程示意图；
图6为本发明提供的网络扩容方法实施例六的流程示意图；
图7为本发明提供的网络扩容方法实施例七的流程示意图；
图8为本发明提供的网络扩容装置实施例一的结构示意图；
图9为本发明提供的网络扩容装置实施例二的结构示意图；
图10为本发明提供的网络扩容装置实施例三的结构示意图；
图11为本发明提供的网络扩容装置实施例四的结构示意图；
图12为本发明提供的网络扩容装置实施例五的结构示意图；
图13为本发明提供的网络扩容装置实施例六的结构示意图；
图14为本发明提供的网络扩容装置实施例七的结构示意图。
具体实施方式
为使本发明实施例的目的、技术方案和优点更加清楚，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
图1为本发明提供的网络扩容方法实施例一的流程示意图，如图1所示，该方法包括：
步骤101、采集多个小区的移动用户上网记录信息，其中，移动用户上网记录信息包括用户标识、用户标识对应的业务类型，以及业务类型对应的上行流量、下行流量以及上网时长。
步骤102、根据多个小区内的各业务类型、各业务类型对应的上行流量和下行流量，以及各业务类型对应的预设门限值，分别获取每个小区内的目标业务类型。
步骤103、对于每个小区，根据小区内的目标业务类型对应的总流量以及目标业务类型对应的上网时长，获取小区内目标业务类型的速率。
步骤104、对于每个目标业务类型，根据目标业务类型在不同的小区对应的速率，获取目标业务类型的目标速率。
步骤105、对于每个目标业务类型，根据目标业务类型在不同的小区对应的上网时长、除目标业务类型之外的其他目标业务类型在不同的小区对应的上网时长、与目标业务类型对应的用户标识的数量，以及与目标业务类型对应的用户标识下目标业务类型的记录数量，获取目标业务类型的权重和单用户的并发业务数。
步骤106、对于每个小区，根据小区内的目标业务类型的上行流量、下行流量、上网时长、目标速率、权重以及单用户的并发业务数，获取小区的单用户体验的目标速率和实际平均用户体验速率。
步骤107、对于每个小区，获取小区内的无线资源利用率以及在线用 户数，并根据小区的单用户体验的目标速率和实际平均用户体验速率，以及无线资源利用率和在线用户数，确定目标小区；其中，目标小区的单用户体验的目标速率大于目标小区的实际平均用户体验速率，且目标小区的无线资源利用率大于预设阈值以及目标小区的在线用户数大于预设阈值。
步骤108、对目标小区进行网络扩容处理。
在本实施例中，采集多个小区的移动用户上网记录信息，其中，移动用户上网记录信息包括用户标识、用户标识对应的业务类型，以及业务类型对应的上行流量、下行流量以及上网时长；根据多个小区内的各业务类型、各业务类型对应的上行流量和下行流量，以及各业务类型对应的预设门限值，分别获取每个小区内的目标业务类型；对于每个小区，根据小区内的目标业务类型对应的总流量以及目标业务类型对应的上网时长，获取小区内目标业务类型的速率；对于每个目标业务类型，根据目标业务类型在不同的小区对应的速率，获取目标业务类型的目标速率；对于每个目标业务类型，根据目标业务类型在不同的小区对应的上网时长、除目标业务类型之外的其他目标业务类型在不同的小区对应的上网时长、与目标业务类型对应的用户标识的数量，以及与目标业务类型对应的用户标识下目标业务类型的记录数量，获取目标业务类型的权重和单用户的并发业务数；对于每个小区，根据小区内的目标业务类型的上行流量、下行流量、上网时长、目标速率、权重以及单用户的并发业务数，获取小区的单用户体验的目标速率和实际平均用户体验速率；对于每个小区，获取小区内的无线资源利用率以及在线用户数，并根据小区的单用户体验的目标速率和实际平均用户体验速率，以及无线资源利用率和在线用户数，确定目标小区；其中，目标小区的单用户体验的目标速率大于目标小区的实际平均用户体验速率，且目标小区的无线资源利用率大于预设阈值以及目标小区的在线用户数大于预设阈值；对目标小区进行网络扩容处理，这样可以根据小区的无线资源利用率、实际平均用户体验速率以及单用户体验的目标速率，确定目标扩容小区，对目标小区进行网络扩容，从而提高了目标小区内的用户体验，同时避免了对用户体验良好的小区进行扩容，造成资源浪费的问题。
图2为本发明提供的网络扩容方法实施例二的流程示意图，如图2所示，该方法包括：
步骤201、采集多个小区的移动用户上网记录信息，其中，移动用户上网记录信息包括用户标识、用户标识对应的业务类型，以及业务类型对应的上行流量、下行流量以及上网时长。
步骤202、根据多个小区内的各业务类型、各业务类型对应的上行流量和下行流量，以及各业务类型对应的预设门限值，分别获取每个小区内的目标业务类型。
步骤203、对于每个小区，根据小区内的目标业务类型对应的总流量以及目标业务类型对应的上网时长，获取小区内目标业务类型的速率。
步骤204、对于每个目标业务类型，按照从大到小的顺序，将目标业务类型在不同的小区对应的速率进行排序处理。
步骤205、根据预设百分比，对排序处理后的目标业务类型在不同的小区对应的速率进行提取，并对提取后的目标业务类型在不同的小区对应的速率进行平均值处理，以获取目标业务类型的目标速率。
步骤206、对于每个目标业务类型，根据目标业务类型在不同的小区对应的上网时长、除目标业务类型之外的其他目标业务类型在不同的小区对应的上网时长、与目标业务类型对应的用户标识的数量，以及与目标业务类型对应的用户标识下目标业务类型的记录数量，获取目标业务类型的权重和单用户的并发业务数。
步骤207、对于每个小区，根据小区内的目标业务类型的上行流量、下行流量、上网时长、目标速率、权重以及单用户的并发业务数，获取小区的单用户体验的目标速率和实际平均用户体验速率。
步骤208、对于每个小区，获取小区内的无线资源利用率以及在线用户数，并根据小区的单用户体验的目标速率和实际平均用户体验速率，以及无线资源利用率和在线用户数，确定目标小区；其中，目标小区的单用户体验的目标速率大于目标小区的实际平均用户体验速率，且目标小区的无线资源利用率大于预设阈值以及目标小区的在线用户数大于预设阈值。
步骤209、对目标小区进行网络扩容处理。
在本实施例中，通过对于每个目标业务类型，按照从大到小的顺序，将目标业务类型在不同的小区对应的速率进行排序处理，根据预设百分比，对排序处理后的目标业务类型在不同的小区对应的速率进行提取，并对提取后的目标业务类型在不同的小区对应的速率进行平均值处理，以获取目标业务类型的目标速率，从而提高了目标业务类型的目标速率的获取效率。
图3为本发明提供的网络扩容方法实施例三的流程示意图，如图3所示，该方法包括：
步骤301、采集多个小区的移动用户上网记录信息，其中，移动用户上网记录信息包括用户标识、用户标识对应的业务类型，以及业务类型对应的上行流量、下行流量以及上网时长。
步骤302、对于每个小区，根据小区内的各业务类型、以及各业务类型对应的上行流量以及下行流量，获取小区内的各业务类型的总流量。
步骤303、根据小区内各业务类型的总流量和各业务类型对应的预设门限值，获取目标业务类型；其中，目标业务类型的总流量大于目标业务类型对应的预设门限值。
步骤304、对于每个小区，根据小区内的目标业务类型对应的总流量以及目标业务类型对应的上网时长，获取小区内目标业务类型的速率。
步骤305、对于每个目标业务类型，根据目标业务类型在不同的小区对应的速率，获取目标业务类型的目标速率。
步骤306、对于每个目标业务类型，根据目标业务类型在不同的小区对应的上网时长、除目标业务类型之外的其他目标业务类型在不同的小区对应的上网时长、与目标业务类型对应的用户标识的数量，以及与目标业务类型对应的用户标识下目标业务类型的记录数量，获取目标业务类型的权重和单用户的并发业务数。
步骤307、对于每个小区，根据小区内的目标业务类型的上行流量、下行流量、上网时长、目标速率、权重以及单用户的并发业务数，获取小区的单用户体验的目标速率和实际平均用户体验速率。
步骤308、对于每个小区，获取小区内的无线资源利用率以及在线用户数，并根据小区的单用户体验的目标速率和实际平均用户体验速率， 以及无线资源利用率和在线用户数，确定目标小区；其中，目标小区的单用户体验的目标速率大于目标小区的实际平均用户体验速率，且目标小区的无线资源利用率大于预设阈值以及目标小区的在线用户数大于预设阈值。
步骤309、对目标小区进行网络扩容处理。
在本实施例中，对于每个小区，根据小区内的各业务类型、以及各业务类型对应的上行流量以及下行流量，获取小区内的各业务类型的总流量，根据小区内各业务类型的总流量和各业务类型对应的预设门限值，获取目标业务类型；其中，目标业务类型的总流量大于目标业务类型对应的预设门限值，从而可以根据实际的应用场景获取不同的目标业务类型。
图4为本发明提供的网络扩容方法实施例四的流程示意图，如图4所示，该方法包括：
步骤401、采集多个小区的移动用户上网记录信息，其中，移动用户上网记录信息包括用户标识、用户标识对应的业务类型，以及业务类型对应的上行流量、下行流量以及上网时长。
步骤402、根据多个小区内的各业务类型、各业务类型对应的上行流量和下行流量，以及各业务类型对应的预设门限值，分别获取每个小区内的目标业务类型。
步骤403、对于每个小区，根据小区内的目标业务类型对应的总流量以及目标业务类型对应的上网时长，获取小区内目标业务类型的速率。
步骤404、对于每个目标业务类型，按照从大到小的顺序，将目标业务类型在不同的小区对应的速率进行排序处理。
步骤405、根据预设百分比，对排序处理后的目标业务类型在不同的小区对应的速率进行提取，并对提取后的目标业务类型在不同的小区对应的速率进行平均值处理，以获取目标业务类型的目标速率。
步骤406、对于每个目标业务类型所在的第j小区，获取第j小区内目标业务类型对应的上网时长，以及第j小区内所有目标类型对应的上网时长总和，获取目标业务类型所在的第j小区的权重。
在本实施例中，目标业务类型所在的第j小区的权重等于第j小区内 目标业务类型对应的上网时长除以第j小区内所有目标类型对应的上网时长总和。
步骤407、对应每个目标业务类型所在的第j小区，根据第j小区内与目标业务类型对应的用户标识的数量，以及与目标业务类型对应的用户标识下目标业务类型的记录数量，采用公式(1)：
Figure PCTCN2016102869-appb-000001
获取目标业务类型所在的第j小区的单用户的并发业务数。
其中，Cj是第j个小区内单用户的并发业务数，nj是第j个小区内目标业务类型的总数，Nij是第j个小区内第i类目标业务类型的记录数，Mij是第j个小区内使用第i类目标业务类型的用户数，j为正整数。
步骤408、对于每个小区，根据小区内的目标业务类型的上行流量、下行流量、上网时长、目标速率、权重以及单用户的并发业务数，获取小区的单用户体验的目标速率和实际平均用户体验速率。
步骤409、对于每个小区，获取小区内的无线资源利用率以及在线用户数，并根据小区的单用户体验的目标速率和实际平均用户体验速率，以及无线资源利用率和在线用户数，确定目标小区；其中，目标小区的单用户体验的目标速率大于目标小区的实际平均用户体验速率，且目标小区的无线资源利用率大于预设阈值以及目标小区的在线用户数大于预设阈值。
步骤410、对目标小区进行网络扩容处理。
本实施例中，对于每个目标业务类型所在的小区，获取该小区内目标业务类型对应的上网时长，以及该小区内所有目标类型对应的上网时长总和，获取目标业务类型所在的小区的权重，对应每个目标业务类型所在的小区，根据该小区内与目标业务类型对应的用户标识的数量，以及与目标业务类型对应的用户标识下目标业务类型的记录数量，获取单用户的并发业务数，从而提高获取目标业务类型所在小区的权重以及小区内单用户并发业务数的效率。
图5为本发明提供的网络扩容方法实施例五的流程示意图，在上述图4所示实施例的基础上，如图5所示，本发明实施例五提供的网络扩容方 法中，步骤408中对于每个小区，根据小区内的目标业务类型的上行流量、下行流量、上网时长、目标速率、权重以及单用户的并发业务数，获取小区的单用户体验的目标速率和实际平均用户体验速率，包括：
步骤501、根据小区的目标业务类型的目标速率、目标业务类型的权重以及单用户的并发业务数，采用公式(2)：
Figure PCTCN2016102869-appb-000002
获取各个小区的单用户体验的目标速率，其中，VOj是第j个小区内单用户体验的目标速率，i为业务类型，Vij是第j个小区内第i类目标业务类型的目标速率，Wij为第j个小区内第i类目标业务类型的权重，Cj为第j个小区内单用户平均并发业务数，nj是第j个小区内目标业务类型的总数，j为正整数。
步骤502、对于每个目标业务类型，根据所有小区的目标业务类型的上行流量、下行流量、上网时长，获取所有目标业务类型的总流量和所有目标业务类型的总上网时长，获取小区的实际平均用户体验速率。
在本实施例中，获取目标业务类型的目标速率、每个小区的单用户的并发业务数以及每个小区内目标业务类型的权重，以获取每个小区单用户体验的目标速率，这样对于每个小区，可以根据小区内的无线资源利用率以及在线用户数，并根据该小区的单用户体验的目标速率和实际平均用户体验速率，确定目标小区，从而提高了确定目标小区的精度。
图6为本发明提供的网络扩容方法实施例六的流程示意图，在上述图2所示实施例的基础上，如图6所示，本发明实施例六提供的网络扩容方法中，步骤206中对于每个目标业务类型，根据目标业务类型在不同的小区对应的上网时长、除目标业务类型之外的其他目标业务类型在不同的小区对应的上网时长、与目标业务类型对应的用户标识的数量，以及与目标业务类型对应的用户标识下目标业务类型的记录数量，获取目标业务类型的权重和单用户的并发业务数，包括：
步骤601、对于所有小区中的每个目标业务类型，获取所有小区内目标业务类型对应的上网时长，以及所有小区内所有目标类型对应的上网时长总和，获取目标业务类型在所有小区中的权重。
步骤602、根据所有小区内与目标业务类型对应的用户标识的数量， 以及与目标业务类型对应的用户标识下目标业务类型的记录数量，采用公式(3)：
Figure PCTCN2016102869-appb-000003
获取目标业务类型的单用户的并发业务数。
其中，C是目标业务类型的单用户的并发业务数，n是所有小区中目标业务类型的总数，Ni是所有小区内第i类目标业务类型的记录数，Mi是所有小区内使用第i类目标业务类型的用户数。
在本实施例中，对于所有小区中的每个目标业务类型，获取所有小区内目标业务类型对应的上网时长，以及所有小区内所有目标类型对应的上网时长总和，获取目标业务类型在所有小区中的权重，根据所有小区内与目标业务类型对应的用户标识的数量，以及与目标业务类型对应的用户标识下目标业务类型的记录数量获取目标业务类型的单用户的并发业务数，从而提高了获取目标业务类型的权重以及单用户并发业务数的效率。
图7为本发明提供的网络扩容方法实施例七的流程示意图，在上述图6实施例的基础上，如图7所示，本发明实施例七提供的网络扩容方法中，步骤408中对于每个小区，根据小区内的目标业务类型的上行流量、下行流量、上网时长、目标速率、权重以及单用户的并发业务数，获取小区的单用户体验的目标速率和实际平均用户体验速率，包括：
步骤701、根据目标业务类型的目标速率、目标业务类型的权重以及单用户的并发业务数，采用公式(4)：
Figure PCTCN2016102869-appb-000004
获取小区的单用户体验的目标速率。
其中，VO是小区内单用户体验的目标速率，i为正整数，Vi是第i类目标业务类型的目标速率，Wi为所有小区内第i类目标业务类型的权重，C为所有小区内单用户平均并发业务数，n是所有小区内目标业务类型的数目。
步骤702、对于每个目标业务类型，根据所有小区的目标业务类型的 上行流量、下行流量、上网时长，获取所有目标业务类型的总流量和所有目标业务类型的总上网时长，获取小区的实际平均用户体验速率。
在本实施例中，获取目标业务类型的目标速率、所有小区内的单用户的并发业务数以及所有小区内目标业务类型的权重，以获取小区的单用户体验的目标速率，这样提高了小区单用户体验的目标速率的获取效率。
图8为本发明提供的网络扩容装置实施例一的结构示意图，如图8所示，该装置包括：采集模块10、第一获取模块11、第二获取模块12、第三获取模块13、第四获取模块14、第五获取模块15、确定模块16和扩容模块17。
采集模块10，用于采集多个小区的移动用户上网记录信息，其中，移动用户上网记录信息包括用户标识、用户标识对应的业务类型，以及业务类型对应的上行流量、下行流量以及上网时长。
第一获取模块11，用于根据多个小区内的各业务类型、各业务类型对应的上行流量和下行流量，以及各业务类型对应的预设门限值，分别获取每个小区内的目标业务类型。
第二获取模块12，用于对于每个小区，根据小区内的目标业务类型对应的总流量以及目标业务类型对应的上网时长，获取小区内目标业务类型的速率。
第三获取模块13，用于对于每个目标业务类型，根据目标业务类型在不同的小区对应的速率，获取目标业务类型的目标速率。
第四获取模块14，用于对于每个目标业务类型，根据目标业务类型在不同的小区对应的上网时长、除目标业务类型之外的其他目标业务类型在不同的小区对应的上网时长、与目标业务类型对应的用户标识的数量，以及与目标业务类型对应的用户标识下目标业务类型的记录数量，获取目标业务类型的权重和单用户的并发业务数。
第五获取模块15，用于对于每个小区，根据小区内的目标业务类型的上行流量、下行流量、上网时长、目标速率、权重以及单用户的并发业务数，获取小区的单用户体验的目标速率和实际平均用户体验速率。
确定模块16，用于对于每个小区，获取小区内的无线资源利用率以 及在线用户数，并根据小区的单用户体验的目标速率和实际平均用户体验速率，以及无线资源利用率和在线用户数，确定目标小区；其中，目标小区的单用户体验的目标速率大于目标小区的实际平均用户体验速率，且目标小区的无线资源利用率大于预设阈值以及目标小区的在线用户数大于预设阈值。
扩容模块17，用于对目标小区进行网络扩容处理。
本实施例中的网络扩容装置可以执行图1所示方法实施例的技术方案，其实现原理和有益效果相类似，此处不再赘述。
图9为本发明提供的网络扩容装置实施例二的结构示意图，如图9所示，在上述实施例一的基础上，第三获取模块13包括：
排序单元130，用于对于每个目标业务类型，按照从大到小的顺序，将目标业务类型在不同的小区对应的速率进行排序处理。
提取单元131，用于根据预设百分比，对排序处理后的目标业务类型在不同的小区对应的速率进行提取。
第一目标速率获取单元132，用于对提取后的目标业务类型在不同的小区对应的速率进行平均值处理，以获取目标业务类型的目标速率。
本实施例中的网络扩容装置可以执行图2所示方法实施例的技术方案，其实现原理和有益效果相类似，此处不再赘述。
图10为本发明提供的网络扩容装置实施例三的结构示意图，如图10所示，在上述实施例一的基础上，第一获取模块11包括：
流量获取单元110，用于对于每个小区，根据小区内的各业务类型、以及各业务类型对应的上行流量以及下行流量，获取小区内的各业务类型的总流量。
目标业务类型获取单元111，用于根据小区内各业务类型的总流量和各业务类型对应的预设门限值，获取目标业务类型；其中，目标业务类型的总流量大于目标业务类型对应的预设门限值。
本实施例中的网络扩容装置可以执行图3所示方法实施例的技术方案，其实现原理和有益效果相类似，此处不再赘述。
图11为本发明提供的网络扩容装置实施例四的结构示意图，如图11所示，在上述实施例二的基础上，第四获取模块14包括：
第一权重获取单元140，用于对于每个目标业务类型所在的第j小区，获取j小区内目标业务类型对应的上网时长，以及第j小区内所有目标类型对应的上网时长总和，获取目标业务类型所在的第j小区的权重。
第一并发业务数获取单元141，用于对应每个目标业务类型所在的第j小区，根据第j小区内与目标业务类型对应的用户标识的数量，以及与目标业务类型对应的用户标识下目标业务类型的记录数量，采用公式(1)：
Figure PCTCN2016102869-appb-000005
获取目标业务类型所在的第j小区的单用户的并发业务数。
其中，Cj是第j个小区内单用户的并发业务数，nj是第j个小区内目标业务类型的总数，Nij是第j个小区内第i类目标业务类型的记录数，Mij是第j个小区内使用第i类目标业务类型的用户数，j为正整数。
本实施例中的网络扩容装置可以执行图4所示方法实施例的技术方案，其实现原理和有益效果相类似，此处不再赘述。
图12为本发明提供的网络扩容装置实施例五的结构示意图，如图12所示，在上述实施例四的基础上，第五获取模块15包括：
第二目标速率获取单元150，用于根据小区的目标业务类型的目标速率、目标业务类型的权重以及单用户的并发业务数，采用公式(2)：
Figure PCTCN2016102869-appb-000006
获取各个小区的单用户体验的目标速率，其中，VOj是第j个小区内单用户体验的目标速率，i为业务类型，Vij是第j个小区内第i类目标业务类型的目标速率，Wij为第j个小区内第i类目标业务类型的权重，Cj为第j个小区内单用户平均并发业务数，nj是第j个小区内目标业务类型的总数，j为正整数；
第一体验速率获取单元151，用于对于每个目标业务类型，根据所有小区的目标业务类型的上行流量、下行流量、上网时长，获取所有目标业务类型的总流量和所有目标业务类型的总上网时长，获取小区的实际平均用户体验速率。
本实施例中的网络扩容装置可以执行图5所示方法实施例的技术方 案，其实现原理和有益效果相类似，此处不再赘述。
图13为本发明提供的网络扩容装置实施例六的结构示意图，如图13所示，在上述实施例二的基础上，第四获取模块14包括：
第二权重获取单元142，用于对于所有小区中的每个目标业务类型，获取所有小区内目标业务类型对应的上网时长，以及所有小区内所有目标类型对应的上网时长总和，获取目标业务类型在所有小区中的权重。
第二并发业务数获取单元143，用于根据所有小区内与目标业务类型对应的用户标识的数量，以及与目标业务类型对应的用户标识下目标业务类型的记录数量采，采用公式(3)：
Figure PCTCN2016102869-appb-000007
获取目标业务类型的单用户的并发业务数。
其中，C是目标业务类型的单用户的并发业务数，n是所有小区中目标业务类型的总数，Ni是所有小区内第i类目标业务类型的记录数，Mi是所有小区内使用第i类目标业务类型的用户数。
本实施例中的网络扩容装置可以执行图6所示方法实施例的技术方案，其实现原理和有益效果相类似，此处不再赘述。
图14为本发明提供的网络扩容装置实施例七的结构示意图，如图14所示，在上述实施例六的基础上，第五获取模块15包括：
第三目标速率获取单元152，用于根据目标业务类型的目标速率、目标业务类型的权重以及单用户的并发业务数，采用公式(4)：
Figure PCTCN2016102869-appb-000008
获取小区的单用户体验的目标速率，其中，VO是小区内单用户体验的目标速率，i为正整数，Vi是第i类目标业务类型的目标速率，Wi为所有小区内第i类目标业务类型的权重，C为所有小区内单用户平均并发业务数，n是所有小区内目标业务类型的数目。
第二体验速率获取单元153，用于对于每个目标业务类型，根据所有小区的目标业务类型的上行流量、下行流量、上网时长，获取所有目标业务类型的总流量和所有目标业务类型的总上网时长，获取小区的实际 平均用户体验速率。
本实施例中的网络扩容装置可以执行图7所示方法实施例的技术方案，其实现原理和有益效果相类似，此处不再赘述。
本领域普通技术人员可以理解：实现上述各方法实施例的全部或部分步骤可以通过程序指令相关的硬件来完成。前述的程序可以存储于一计算机可读取存储介质中。该程序在执行时，执行包括上述各方法实施例的步骤；而前述的存储介质包括：ROM、RAM、磁碟或者光盘等各种可以存储程序代码的介质。
最后应说明的是：以上各实施例仅用以说明本发明的技术方案，而非对其限制；尽管参照前述各实施例对本发明进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分或者全部技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本发明各实施例技术方案的范围。

Claims (14)

  1. 一种网络扩容方法，其特征在于，包括：
    采集多个小区的移动用户上网记录信息，其中，所述移动用户上网记录信息包括用户标识、所述用户标识对应的业务类型，以及所述业务类型对应的上行流量、下行流量以及上网时长；
    根据所述多个小区内的各业务类型、所述各业务类型对应的上行流量和下行流量，以及各业务类型对应的预设门限值，分别获取每个小区内的目标业务类型；
    对于每个小区，根据所述小区内的目标业务类型对应的总流量以及所述目标业务类型对应的上网时长，获取所述小区内所述目标业务类型的速率；
    对于每个目标业务类型，根据所述目标业务类型在不同的小区对应的速率，获取所述目标业务类型的目标速率；
    对于每个目标业务类型，根据所述目标业务类型在不同的小区对应的上网时长、除所述目标业务类型之外的其他目标业务类型在不同的小区对应的上网时长、与所述目标业务类型对应的用户标识的数量，以及与所述目标业务类型对应的用户标识下所述目标业务类型的记录数量，获取所述目标业务类型的权重和单用户的并发业务数；
    对于每个小区，根据所述小区内的目标业务类型的上行流量、下行流量、上网时长、目标速率、权重以及单用户的并发业务数，获取所述小区的单用户体验的目标速率和实际平均用户体验速率；
    对于每个小区，获取所述小区内的无线资源利用率以及在线用户数，并根据所述小区的单用户体验的目标速率和实际平均用户体验速率，以及无线资源利用率和在线用户数，确定目标小区；其中，所述目标小区的单用户体验的目标速率大于所述目标小区的实际平均用户体验速率，且所述目标小区的无线资源利用率大于预设阈值以及所述目标小区的在线用户数大于预设阈值；
    对所述目标小区进行网络扩容处理。
  2. 根据权利要求1所述的方法，其特征在于，所述对于每个目标业务类型，根据所述目标业务类型在不同的小区对应的速率，获取所述目 标业务类型的目标速率，包括：
    对于每个目标业务类型，按照从大到小的顺序，将所述目标业务类型在不同的小区对应的速率进行排序处理；
    根据预设百分比，对排序处理后的所述目标业务类型在不同的小区对应的速率进行提取，并对提取后的所述目标业务类型在不同的小区对应的速率进行平均值处理，以获取所述目标业务类型的目标速率。
  3. 根据权利要求1所述的方法，其特征在于，所述根据所述多个小区内的各业务类型、所述各业务类型对应的上行流量和下行流量，以及各业务类型对应的预设门限值，分别获取每个小区内的目标业务类型，包括：
    对于每个小区，根据所述小区内的各业务类型、以及所述各业务类型对应的上行流量以及下行流量，获取所述小区内的各业务类型的总流量；
    根据所述小区内各业务类型的总流量和所述各业务类型对应的预设门限值，获取目标业务类型；其中，所述目标业务类型的总流量大于所述目标业务类型对应的预设门限值。
  4. 根据权利要求2所述的方法，其特征在于，所述对于每个目标业务类型，根据所述目标业务类型在不同的小区对应的上网时长、除所述目标业务类型之外的其他目标业务类型在不同的小区对应的上网时长、与所述目标业务类型对应的用户标识的数量，以及与所述目标业务类型对应的用户标识下所述目标业务类型的记录数量，获取所述目标业务类型的权重和单用户的并发业务数，包括：
    对于每个目标业务类型所在的第j小区，获取所述第j小区内所述目标业务类型对应的上网时长，以及所述第j小区内所有目标类型对应的上网时长总和，获取所述目标业务类型所在的第j小区的权重；
    对应每个目标业务类型所在的第j小区，根据所述第j小区内与所述目标业务类型对应的用户标识的数量，以及与所述目标业务类型对应的用户标识下所述目标业务类型的记录数量，采用公式
    Figure PCTCN2016102869-appb-100001
    获取所述目标业务类型所在的第j小区的单用户的并发业务数；
    其中，Cj是第j个小区内单用户的并发业务数，nj是第j个小区内目 标业务类型的总数，Nij是第j个小区内第i类目标业务类型的记录数，Mij是第j个小区内使用第i类目标业务类型的用户数，j为正整数。
  5. 根据权利要求4所述的方法，其特征在于，所述对于每个小区，根据所述小区内的目标业务类型的上行流量、下行流量、上网时长、目标速率、权重以及单用户的并发业务数，获取所述小区的单用户体验的目标速率和实际平均用户体验速率，包括：
    根据所述小区的目标业务类型的目标速率、目标业务类型的权重以及单用户的并发业务数，采用公式：
    Figure PCTCN2016102869-appb-100002
    获取所述各个小区的单用户体验的目标速率，其中，VOj是第j个小区内单用户体验的目标速率，i为业务类型，Vij是第j个小区内第i类目标业务类型的目标速率，Wij为第j个小区内第i类目标业务类型的权重，Cj为第j个小区内单用户平均并发业务数，nj是第j个小区内目标业务类型的总数，j为正整数；
    对于每个目标业务类型，根据所有小区的目标业务类型的上行流量、下行流量、上网时长，获取所有目标业务类型的总流量和所述所有目标业务类型的总上网时长，获取所述小区的实际平均用户体验速率。
  6. 根据权利要求3所述的方法，其特征在于，所述对于每个目标业务类型，根据所述目标业务类型在不同的小区对应的上网时长、除所述目标业务类型之外的其他目标业务类型在不同的小区对应的上网时长、与所述目标业务类型对应的用户标识的数量，以及与所述目标业务类型对应的用户标识下所述目标业务类型的记录数量，获取所述目标业务类型的权重和单用户的并发业务数，包括：
    对于所有小区中的每个目标业务类型，获取所有小区内所述目标业务类型对应的上网时长，以及所有小区内所有目标类型对应的上网时长总和，获取所述目标业务类型在所有小区中的权重；
    根据所有小区内与所述目标业务类型对应的用户标识的数量，以及与所述目标业务类型对应的用户标识下所述目标业务类型的记录数量，采用公式
    Figure PCTCN2016102869-appb-100003
    获取所述目标业务类型的单用户的并发业务数；
    其中，C是目标业务类型的单用户的并发业务数，n是所有小区中目标业务类型的总数，Ni是所有小区内第i类目标业务类型的记录数，Mi是所有小区内使用第i类目标业务类型的用户数。
  7. 根据权利要求6所述的方法，其特征在于，所述对于每个小区，根据所述小区内的目标业务类型的上行流量、下行流量、上网时长、目标速率、权重以及单用户的并发业务数，获取所述小区的单用户体验的目标速率和实际平均用户体验速率，包括：
    根据所述目标业务类型的目标速率、目标业务类型的权重以及单用户的并发业务数，采用公式：
    Figure PCTCN2016102869-appb-100004
    获取所述小区的单用户体验的目标速率，其中，VO是所述小区内单用户体验的目标速率，i为正整数，Vi是第i类目标业务类型的目标速率，Wi为所有小区内第i类目标业务类型的权重，C为所有小区内单用户平均并发业务数，n是所有小区内目标业务类型的数目；
    对于每个目标业务类型，根据所有小区的目标业务类型的上行流量、下行流量、上网时长，获取所有目标业务类型的总流量和所述所有目标业务类型的总上网时长，获取所述小区的实际平均用户体验速率。
  8. 一种网络扩容装置，其特征在于，包括：
    采集模块，用于采集多个小区的移动用户上网记录信息，其中，所述移动用户上网记录信息包括用户标识、所述用户标识对应的业务类型，以及所述业务类型对应的上行流量、下行流量以及上网时长；
    第一获取模块，用于根据所述多个小区内的各业务类型、所述各业务类型对应的上行流量和下行流量，以及各业务类型对应的预设门限值，分别获取每个小区内的目标业务类型；
    第二获取模块，用于对于每个小区，根据所述小区内的目标业务类型对应的总流量以及所述目标业务类型对应的上网时长，获取所述小区内所述目标业务类型的速率；
    第三获取模块，用于对于每个目标业务类型，根据所述目标业务类型在不同的小区对应的速率，获取所述目标业务类型的目标速率；
    第四获取模块，用于对于每个目标业务类型，根据所述目标业务类型在不同的小区对应的上网时长、除所述目标业务类型之外的其他目标业务类型在不同的小区对应的上网时长、与所述目标业务类型对应的用户标识的数量，以及与所述目标业务类型对应的用户标识下所述目标业务类型的记录数量，获取所述目标业务类型的权重和单用户的并发业务 数；
    第五获取模块，用于对于每个小区，根据所述小区内的目标业务类型的上行流量、下行流量、上网时长、目标速率、权重以及单用户的并发业务数，获取所述小区的单用户体验的目标速率和实际平均用户体验速率；
    确定模块，用于对于每个小区，获取所述小区内的无线资源利用率以及在线用户数，并根据所述小区的单用户体验的目标速率和实际平均用户体验速率，以及无线资源利用率和在线用户数，确定目标小区；其中，所述目标小区的单用户体验的目标速率大于所述目标小区的实际平均用户体验速率，且所述目标小区的无线资源利用率大于预设阈值以及所述目标小区的在线用户数大于预设阈值；
    扩容模块，用于对所述目标小区进行网络扩容处理。
  9. 根据权利要求8所述的装置，其特征在于，所述第三获取模块包括：
    排序单元，用于对于每个目标业务类型，按照从大到小的顺序，将所述目标业务类型在不同的小区对应的速率进行排序处理；
    提取单元，用于根据预设百分比，对排序处理后的所述目标业务类型在不同的小区对应的速率进行提取；
    第一目标速率获取单元，用于对提取后的所述目标业务类型在不同的小区对应的速率进行平均值处理，以获取所述目标业务类型的目标速率。
  10. 根据权利要求8所述的装置，其特征在于，所述第一获取模块包括：
    流量获取单元，用于对于每个小区，根据所述小区内的各业务类型、以及所述各业务类型对应的上行流量以及下行流量，获取所述小区内的各业务类型的总流量；
    目标业务类型获取单元，用于根据所述小区内各业务类型的总流量和所述各业务类型对应的预设门限值，获取目标业务类型；其中，所述目标业务类型的总流量大于所述目标业务类型对应的预设门限值。
  11. 根据权利要求9所述的装置，其特征在于，所述第四获取模块包 括：
    第一权重获取单元，用于对于每个目标业务类型所在的第j小区，获取所述第j小区内所述目标业务类型对应的上网时长，以及所述第j小区内所有目标类型对应的上网时长总和，获取所述目标业务类型所在的第j小区的权重；
    第一并发业务数获取单元，用于对应每个目标业务类型所在的第j小区，根据所述第j小区内与所述目标业务类型对应的用户标识的数量，以及与所述目标业务类型对应的用户标识下所述目标业务类型的记录数量，采用公式
    Figure PCTCN2016102869-appb-100005
    获取所述目标业务类型所在的第j小区的单用户的并发业务数；
    其中，Cj是第j个小区内单用户的并发业务数，nj是第j个小区内目标业务类型的总数，Nij是第j个小区内第i类目标业务类型的记录数，Mij是第j个小区内使用第i类目标业务类型的用户数，j为正整数。
  12. 根据权利要求11所述的装置，其特征在于，所述第五获取模块包括：
    第二目标速率获取单元，用于根据所述小区的目标业务类型的目标速率、目标业务类型的权重以及单用户的并发业务数，采用公式：
    Figure PCTCN2016102869-appb-100006
    获取所述各个小区的单用户体验的目标速率；
    其中，VOj是第j个小区内单用户体验的目标速率，i为业务类型，Vij是第j个小区内第i类目标业务类型的目标速率，Wij为第j个小区内第i类目标业务类型的权重，Cj为第j个小区内单用户平均并发业务数，nj是第j个小区内目标业务类型的总数，j为正整数；
    第一体验速率获取单元，用于对于每个目标业务类型，根据所有小区的目标业务类型的上行流量、下行流量、上网时长，获取所有目标业务类型的总流量和所述所有目标业务类型的总上网时长，获取所述小区的实际平均用户体验速率。
  13. 根据权利要求10所述的装置，其特征在于，所述第四获取模块包括：
    第二权重获取单元，用于对于所有小区中的每个目标业务类型，获取所有小区内所述目标业务类型对应的上网时长，以及所有小区内所有目标类型对应的上网时长总和，获取所述目标业务类型在所有小区中的 权重；
    第二并发业务数获取单元，用于根据所有小区内与所述目标业务类型对应的用户标识的数量，以及与所述目标业务类型对应的用户标识下所述目标业务类型的记录数量，采用公式
    Figure PCTCN2016102869-appb-100007
    获取所述目标业务类型的单用户的并发业务数；
    其中，C是目标业务类型的单用户的并发业务数，n是所有小区中目标业务类型的总数，Ni是所有小区内第i类目标业务类型的记录数，Mi是所有小区内使用第i类目标业务类型的用户数。
  14. 根据权利要求13所述的装置，其特征在于，所述第五获取模块包括：
    第三目标速率获取单元，用于根据所述目标业务类型的目标速率、目标业务类型的权重以及单用户的并发业务数，采用公式：
    Figure PCTCN2016102869-appb-100008
    获取所述小区的单用户体验的目标速率；
    其中，VO是所述小区内单用户体验的目标速率，i为正整数，Vi是第i类目标业务类型的目标速率，Wi为所有小区内第i类目标业务类型的权重，C为所有小区内单用户平均并发业务数，n是所有小区内目标业务类型的数目；
    第二体验速率获取单元，用于对于每个目标业务类型，根据所有小区的目标业务类型的上行流量、下行流量、上网时长，获取所有目标业务类型的总流量和所述所有目标业务类型的总上网时长，获取所述小区的实际平均用户体验速率。
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