WO2016177032A1 - 网络容量超限判断方法、装置及网络容量管理方法、系统 - Google Patents

网络容量超限判断方法、装置及网络容量管理方法、系统 Download PDF

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Publication number
WO2016177032A1
WO2016177032A1 PCT/CN2016/074696 CN2016074696W WO2016177032A1 WO 2016177032 A1 WO2016177032 A1 WO 2016177032A1 CN 2016074696 W CN2016074696 W CN 2016074696W WO 2016177032 A1 WO2016177032 A1 WO 2016177032A1
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Prior art keywords
resource
capacity
users
control layer
layer connection
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PCT/CN2016/074696
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English (en)
French (fr)
Inventor
王洪玲
陈洋
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中兴通讯股份有限公司
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Publication of WO2016177032A1 publication Critical patent/WO2016177032A1/zh

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0876Network utilisation, e.g. volume of load or congestion level
    • H04L43/0882Utilisation of link capacity

Definitions

  • the present application relates to the field of mobile communications, for example, to a network capacity overrun determination method, apparatus, and network capacity management method and system.
  • the TD-LTE (Time Division Long Term Evolution) network has entered the fast-growing commercial stage.
  • the number of 4G users in the current network continues to grow rapidly.
  • Some hotspots in first-tier cities have experienced high traffic load and degraded user service perception.
  • the existing mobile communication network management system can display certain KPIs (Key Performance Indicators) of the cell at a certain time point or time period, and can also send an alarm to the user at these specific time points to prompt the user.
  • KPIs Key Performance Indicators
  • the load on these cells is too high, and the network needs to be expanded. However, this is limited: a single indicator does not reflect the true situation of the network capacity, resulting in users not being able to accurately understand the usage of network capacity resources, nor the network capacity. Management makes the right management decisions.
  • the main technical problem to be solved by the embodiments of the present invention is to provide a network capacity over-limit judgment method, device, and network capacity management method and system, which solves the inaccuracy of the judgment result caused by using a single indicator to judge the network capacity in the related art. technical problem.
  • an embodiment of the present invention provides a network capacity overrun determination method, including:
  • Whether the network capacity exceeds the limit is determined according to the usage of the capacity resource.
  • the capacity resource includes at least two of a carrier frequency resource, a board resource, and an allowed access resource.
  • the capacity resource when the capacity resource includes a carrier frequency resource, obtain the following At least one of the combinations of indicator combinations characterizes usage of the carrier frequency resource:
  • the cell radio resource control layer is connected to establish a maximum number of users
  • the cell radio resource control layer connection establishes an average number of users and a resource utilization rate of the physical resource block
  • the cell radio resource control layer connection establishes an average number of users and an uplink data amount of the user plane packet data convergence protocol service data unit;
  • the cell radio resource control layer connection establishes an average number of users and a downlink data amount of the user plane packet data convergence protocol service data unit;
  • the radio resource control layer connection of the cell establishes an average rate of downlink services corresponding to the highest radio bearer downlink session activation ratio in the average number of users and the cell service quality identifier;
  • the average usage rate of the central processing unit of the board is used to characterize the usage of the board resource
  • the capacity resource includes an average value of the maximum number of users established by acquiring a network-wide radio resource control layer connection to identify the allowed access resource usage when the resource is allowed to access.
  • determining whether the network capacity exceeds the limit includes determining whether the carrier frequency capacity is out of limits; determining whether the carrier frequency capacity exceeds the limit includes determining whether the following conditions are met. At least one of the conditions:
  • Cell radio resource control layer connection establishes the maximum number of users
  • Cell radio resource control layer connection establishes the maximum number of users threshold
  • Cell radio resource control layer connection establishment average number of users > “Cell radio resource control layer connection establishment effective number of users threshold”
  • “physical resource block resource utilization” > “physical resource block resource utilization threshold”
  • Cell radio resource control layer connection establishes average number of users
  • Cell radio resource control layer connection establishes effective user number threshold
  • user plane packet data convergence protocol service data unit uplink data amount > "user plane packet data convergence protocol” Traffic data unit uplink data threshold”
  • Cell radio resource control layer connection establishment average number of users > “Cell radio resource control layer connection establishment effective user number threshold”
  • user plane packet data convergence protocol service data unit downlink data amount > “user plane packet data convergence protocol” The downlink data volume threshold of the service data unit”
  • Cell radio resource control layer connection establishes the average number of users
  • determining whether the network capacity exceeds the limit includes determining whether the capacity of the board exceeds the limit; determining whether the capacity of the board exceeds the limit includes determining whether the following conditions are met:
  • determining whether the network capacity exceeds the limit includes determining whether the allowed access resource capacity exceeds the limit; determining whether the allowed access resource capacity exceeds the limit includes determining whether the following conditions are met:
  • the embodiment of the invention further provides a network capacity management method, including:
  • the network capacity is correspondingly expanded according to the determination result.
  • the network capacity management method further includes:
  • the capacity resource is not overrun and the number of overruns, the ratio of the number of unoverruns of each of the capacity resources to the number of overruns, and the capacity of each of the capacity resources At least one of the expansion information is counted.
  • the embodiment of the invention further provides a device for determining the network capacity overrun, comprising:
  • a selection module configured to determine at least two capacity resources for embodying network capacity
  • An obtaining module configured to acquire usage of the at least two types of capacity resources in the network
  • the determining module is configured to determine whether the network capacity exceeds the limit according to the usage of the capacity resource.
  • the capacity resource selected by the selection module includes at least two of a carrier frequency resource, a board resource, and an allowed access resource.
  • the obtaining module further includes at least two of a carrier frequency resource acquisition sub-module, a board resource acquisition sub-module, and an access resource acquisition sub-module:
  • the cell radio resource control layer is connected to establish a maximum number of users
  • the cell radio resource control layer connection establishes an average number of users and a resource utilization rate of the physical resource block
  • the cell radio resource control layer connection establishes an average number of users and an uplink data amount of the user plane packet data convergence protocol service data unit;
  • the cell radio resource control layer connection establishes an average number of users and a downlink data amount of the user plane packet data convergence protocol service data unit;
  • the radio resource control layer connection of the cell establishes an average rate of downlink services corresponding to the highest radio bearer downlink session activation ratio in the average number of users and the cell service quality identifier;
  • the board resource acquisition sub-module is configured to obtain an average usage rate of the central processing unit of the board resource to represent the usage of the board resource;
  • the allowable access resource acquisition sub-module is configured to obtain an average value of the maximum number of users established by the entire network radio resource control layer connection to characterize the allowed access resource usage.
  • the determining module includes a carrier frequency resource determining sub-module, a board resource determining sub-module, and an access resource determining sub-module;
  • the carrier frequency resource determining sub-module is configured to determine whether the capacity of the carrier frequency resource exceeds the limit when the capacity resource includes the carrier frequency resource; and the carrier frequency determining sub-module determines whether the capacity of the carrier frequency resource exceeds the limit. Including determining whether at least one of the following conditions is met:
  • Cell radio resource control layer connection establishes the maximum number of users
  • Cell radio resource control layer connection establishes the maximum number of users threshold
  • Cell radio resource control layer connection establishment average number of users > “Cell radio resource control layer connection establishment effective number of users threshold”
  • “physical resource block resource utilization” > “physical resource block resource utilization threshold”
  • Cell radio resource control layer connection establishes average number of users
  • Cell radio resource control layer connection establishes effective user number threshold
  • user plane packet data convergence protocol service data unit uplink data amount > "user plane packet data convergence protocol” Traffic data unit uplink data threshold”
  • Cell radio resource control layer connection establishment average number of users > “Cell radio resource control layer connection establishment effective user number threshold”
  • user plane packet data convergence protocol service data unit downlink data amount > “user plane packet data convergence protocol” The downlink data volume threshold of the service data unit”
  • the average number of users in the cell radio resource control layer connection establishment > “the threshold of the number of effective users in the cell radio resource control layer connection”, and the average rate of the downlink service corresponding to the highest radio bearer downlink session activation ratio in the cell service quality indicator " ⁇ "Quality of Service identifies the average rate threshold for downlink services";
  • the board resource determining sub-module is configured to determine whether the capacity of the board resource exceeds the limit when the capacity resource includes the board resource; determining whether the resource capacity of the board exceeds the limit includes determining whether the following is satisfied. condition:
  • the allowable access resource determining sub-module is configured to determine whether the allowed access resource capacity exceeds the limit when the capacity resource includes the allowed access resource, and determine whether the allowed access resource capacity exceeds the limit. Determine if the following conditions are met:
  • the embodiment of the invention further provides a network capacity management device, comprising: a capacity expansion device and the network capacity overrun determination device for determining whether the network capacity exceeds the limit as described above:
  • the network capacity overrun determining device is configured to determine whether the network capacity is out of limits
  • the expansion device is configured to perform corresponding capacity expansion processing on the network capacity according to the determination result when the network capacity exceeds the limit.
  • the network capacity management apparatus further includes:
  • the statistical device is configured to count the number of unrestricted capacity resources and the number of overruns, the number of unoverruns of each of the capacity resources, and the number of overruns in each of the preset time period or the preset overrun judgment number, and each At least one of the capacity expansion information of the capacity resource.
  • the network capacity overrun determination method and device, and the network capacity management method and system provided by the embodiments of the present invention determine whether the network capacity exceeds at least two dimensions by acquiring at least two types of capacity resources for reflecting network capacity.
  • the limitation makes the judgment result more reasonable and accurate, thus solving the technical problem that the single performance index is used to judge the network capacity inaccuracy in the related technology; and further, the expansion processing decision made according to the judgment result is more reasonable, and the resource is more effective. Utilize and improve resource utilization.
  • FIG. 1 is a flowchart of a network capacity overrun determination method according to Embodiment 1 of the present invention.
  • FIG. 2 is a flowchart of determining a network capacity overrun determination method according to Embodiment 1 of the present invention
  • FIG. 3 is a flowchart of a network capacity management method according to Embodiment 2 of the present invention.
  • FIG. 4 is a schematic diagram of a network capacity overrun determination apparatus according to Embodiment 3 of the present invention.
  • FIG. 5 is a schematic diagram of a determining module in a network capacity overrun determining apparatus according to Embodiment 3 of the present invention.
  • FIG. 6 is a schematic diagram of a network capacity management system according to Embodiment 4 of the present invention.
  • FIG. 7 is a diagram showing the relationship between the number of overloaded carrier resources and the ratio of the number of overruns according to Embodiment 4 of the present invention.
  • FIG. 8 is a diagram showing the relationship between the number of excess resources of a board and the proportion of the number of overruns according to the fourth embodiment of the present invention.
  • FIG. 9 is a bar graph of a permitted access resource used capacity and a preset threshold thereof according to Embodiment 4 of the present invention.
  • Embodiment 1 is a diagrammatic representation of Embodiment 1:
  • the embodiment provides a method for judging the network capacity overrun in the mobile communication field, and the judging method can reasonably judge the network capacity from different dimensions.
  • the status quo allows users to know the usage of accurate network capacity resources, thus providing a reliable basis for subsequent capacity management.
  • FIG. 1 is a flowchart of a network capacity overrun determination method according to an embodiment of the present invention
  • the network capacity overrun determination method includes the following steps:
  • Step 101 Determine at least two capacity resources used to represent network capacity
  • the carrier frequency resource and the board resource are selected to reflect the network hardware usage, and the access resource license is used to represent the network.
  • Software resource usage On the other hand, the carrier frequency resource, the board resource, and the allowed access resources use the indicators of the air interface, the user perceived rate, and the throughput as the statistical sources to obtain the network capacity status.
  • Step 102 Acquire the usage of the at least two types of capacity resources in the network.
  • the network capacity when the network capacity is judged, only one single indicator is selected to judge whether the network capacity exceeds the limit in one dimension. When it is judged that the network capacity is not exceeded according to the selected indicator, the network capacity is considered to be not exceeded.
  • This kind of evaluation method will not reflect the actual situation of the network as much as possible. For example, suppose the current situation of the current network is that the capacity resource of dimension A has exceeded the limit, and the single indicator currently selected can only be judged from dimension B. Whether the network capacity is out of limits, and when the judgment result is that the timeout is not exceeded, it is determined that the network capacity is not exceeded, which is not consistent with the actual situation of the network.
  • the usage of the capacity resources of at least two dimensions is obtained, and whether different capacity resources are exceeded by different dimensions, so that the judgment result is as close as possible to the real situation of the network, thereby improving the judgment network capacity overrun. Whether or not the accuracy.
  • data is extracted from the indicators involved in the cell and the base station as source data of the network capacity overrun determination.
  • the manner in which the indicator can be selected includes the following At least one of the ways:
  • the other methods include one primary indicator and one auxiliary indicator; in the second mode, the average number of users in the RRC connection of the cell is used as an auxiliary indicator, PUSCH resource utilization, and PDSCH resources.
  • the maximum value is used to represent the PRB resource utilization rate of the physical resource block of the primary indicator.
  • the average number of users in the RRC connection establishment is used as the primary indicator, and the uplink data of the user plane PDCP SDU and the downlink data of the user plane PDCP SDU are used.
  • the quantity is used as an auxiliary indicator of the three extraction methods.
  • the average number of users in the RRC connection of the cell is used as an auxiliary indicator, and the average rate of the downlink service corresponding to the highest ERAB InSession activation ratio in the QCI of the cell becomes the main indicator. .
  • the detailed level of obtaining the usage of a certain capacity resource depends on the sampling method of obtaining the statistics of the relevant indicators of the capacity resource.
  • the traditional data acquisition method selects the relevant information of a certain time point or a certain statistical period, but because of the statistics Volatility, data at a single point in time is not representative, and capacity overrun at a single point in time does not account for network capacity usage during most of the time; due to busy usage of network capacity resources Separate from free time, so all the statistics in the entire statistical period are selected for capacity assessment. It is easy for network capacity resources to exceed the limit when busy, but the average usage in the whole statistical period is not over-limit. The manner in which the statistical data of the indicator is obtained is easy for the subsequent evaluation to produce an erroneous result.
  • the embodiment can use the relevant data for obtaining the busy use condition of the network capacity resource.
  • the present embodiment uses the busy time information of the network capacity resource in multiple statistical periods. For example, the M statistics can be selected. In the period, the top N statistics with the largest value in each statistical period, where M and N are both user-settable, embodies the flexibility of the network capacity over-limit decision method in the embodiment of the present invention.
  • Step 103 Determine whether the network capacity exceeds the limit according to the usage of the capacity resource.
  • the implementation step 103 can go through the following two processes:
  • Step 1031 Process related data for acquiring network capacity resource usage.
  • the first type uses multiple means of calculation:
  • the board resources For the board resources, the allowed access resources, and the relevant indicators of the carrier frequency resources obtained by adopting the first mode, the third mode, and the fourth mode:
  • Average indicates the busy hour average of the relevant indicator
  • Sum represents the cumulative sum of the top N statistics with the largest value in each statistical period in M statistical periods.
  • the statistics of the obtained three indicators of the PUSCH resource utilization rate, the PDSCH resource utilization rate, and the cell downlink control channel utilization rate are calculated as described above, and the maximum value among the three indicators is obtained, which is used to characterize the PRB resource utilization rate. Then, the RRC connection at the same time is selected to establish the average of the average number of users as the associated RRC connection to establish the average number of users.
  • the second example is to obtain the target downlink service average rate in the average rate of nine downlink services in QCI1 to QCI9.
  • the average ERAB InSession activation time ratio of each cell corresponds to the average rate of a QCI downlink service. Therefore, when the maximum cell downlink ERAB InSession activation time ratio is determined, the downlink ERAB InSession activation time ratio of the cell can be obtained. The average rate of QCI downlink services.
  • Step 1032 Determine the processing result of the foregoing indicator data according to the condition, and obtain a judgment condition that the network capacity resource exceeds the limit;
  • Conditions for determining the overrun of carrier frequency resources include:
  • Cell RRC connection establishment average number of users > “RRC connection establishment effective user number threshold”
  • user plane PDCP SDU uplink data amount > “user plane PDCP SDU uplink data volume threshold”
  • Cell RRC connection establishment average number of users > “RRC connection establishment effective user number threshold”
  • user plane PDCP SDU downlink data amount > “user plane PDCP SDU downlink data volume threshold”
  • Cell RRC connection establishes the average number of users
  • RRC connection establishes a valid number of users threshold
  • the highest ERAB InSession activation ratio in the cell QCI corresponds to the average downlink service rate corresponding to the ratio” ⁇ "QCI downlink service average rate threshold.
  • the conditions for judging the overrun of the board resources include:
  • the conditions for judging the allowable access resources are:
  • the carrier frequency capacity resource As long as any one of the above-mentioned judgment conditions of the carrier frequency resource capacity exceeding the limit is satisfied, it can be determined that the carrier frequency capacity resource exceeds the limit, and thus the network capacity resource exceeding the limit can be determined; In other words, as long as the condition for exceeding the capacity of the board resource exceeds the limit, the board capacity resource may be exceeded, and the network capacity resource may be exceeded.
  • the allowed resource the allowed access resource is satisfied. If the capacity exceeds the limit condition, it can be determined that the allowed access resource capacity is out of limits, and it can be determined that the network capacity resource exceeds the limit.
  • the user can set the over-limit threshold of the statistical indicator related to the capacity resource as a criterion for judging the over-limit of the capacity resource. This fully embodies the flexibility of the network capacity overrun determination method of the embodiment of the present invention.
  • Embodiment 2 is a diagrammatic representation of Embodiment 1:
  • FIG. 3 is a flowchart of a network capacity management method according to an embodiment of the present invention.
  • the network capacity management method includes the following steps on the basis of the network capacity overrun management method in Embodiment 1:
  • Step 201 Determine a network capacity by using a network capacity overrun determination method in Embodiment 1;
  • step 201 includes the following steps in the first embodiment:
  • Step 101 Determine at least two capacity resources used to represent network capacity
  • Step 102 Acquire the usage of the at least two types of capacity resources in the network.
  • Step 103 Determine whether the network capacity exceeds the limit according to the usage of the capacity resource.
  • Step 202 Perform corresponding processing on the network capacity according to the determination result
  • the user may select to expand the carrier frequency resource. If the capacity of the board is exceeded, the user can choose to expand the capacity of the board. If the capacity of the access resource exceeds the limit, you can choose to allow the user to access the resource for capacity expansion.
  • the embodiment further provides a processing method of resource multiplexing: if the resource capacity overrun in an area is only an individual case, the user may judge the idle resource according to the capacity resource over-limit judgment situation.
  • modules, boards, cells, sites, etc. can be reused.
  • the idle cell is adjusted to the busy site by the cutover, and the board on the idle station is transferred to the busy base station to maximize the multiplexing. Resources enable network capacity resources to maximize their value.
  • Step 203 Count the judgment result of the capacity resource and the corresponding expansion information
  • the ratio of the number of over-limits of capacity resources and the number of over-limits, the number of un-over-limits of each of the capacity resources, and the number of over-limits may be preset for the preset time period. At least one of the capacity expansion information of the capacity resource is counted.
  • Step 204 visualizing the statistical results in a graphical form.
  • the effect presented by the above processing includes two aspects: firstly, the detailed statistical information of the capacity evaluation is presented in a tabular manner, including: carrier frequency resources, board resources, and the number of allowed access resource capacity exceeding and exceeding the limit.
  • the second is to graphically display the statistics in the table. Carrier frequency resources and board resources need to show their respective over- and out-of-limit ratios. Allowing access resources needs to show a comparison between network capacity and preset thresholds.
  • the user In the statistics displayed in the master profile, the user cannot locate the carrier frequency resource and the board resource whose capacity exceeds the limit. Therefore, you need to provide detailed information about the carrier frequency resource and the board resource in a detailed information page.
  • the details of the resources and board resources are used as hyperlinks to the main template, allowing users to choose to browse by themselves.
  • the detailed information of the carrier frequency resource and the board resource includes the alarm information, and the user enters the detailed information page from the master template through the hyperlink, finds the alarm information, and makes corresponding processing decisions on the alarm information.
  • Embodiment 3 is a diagrammatic representation of Embodiment 3
  • FIG. 4 is a schematic diagram of a network capacity overrun determination apparatus according to an embodiment of the present invention. As shown in FIG. 4, the network capacity overrun determination apparatus includes the following modules:
  • the selecting module 301 is configured to determine at least two capacity resources for reflecting network capacity
  • the selection module 301 selects the carrier frequency resource and the board resource to reflect the network hardware usage. Allow access to resources to characterize network software resource usage.
  • the carrier frequency resource, the board resource, and the allowed access resources use the indicators of the air interface, the user perceived rate, and the throughput as the statistical sources to obtain the network capacity status.
  • the obtaining module 302 includes at least two of a carrier frequency resource acquisition sub-module 3021, a board resource acquisition sub-module 3022, and an access resource acquisition sub-module 3023:
  • the manner in which the carrier frequency resource acquisition sub-module 3021 obtains the statistical data of the carrier frequency resource related indicator may be at least one of the following:
  • all other methods include one main indicator and one auxiliary indicator; in mode 2, the RRC connection establishes the average number of users as auxiliary indicators, PUSCH resource utilization, and PDSCH resource utilization.
  • the maximum value of the rate and the downlink control channel utilization rate of the cell is used to represent the PRB resource utilization rate of the main indicator; in the third mode and the fourth mode, the RRC connection establishes the average number of users as the main indicator, and the corresponding user plane PDCP SDU uplink data.
  • the amount of downlink data of the user plane PDCP SDU is used as an auxiliary indicator of the three extraction methods.
  • the RRC connection establishes the average number of users as the auxiliary indicator, and the highest ERAB InSession activation ratio in the QCI of the cell corresponds to the downlink service average. The rate becomes the main indicator.
  • the manner in which the board resource acquisition sub-module 3022 obtains the statistics of the related information of the board resource may be:
  • the average CPU usage is used as an indicator to judge its usage.
  • the manner in which the access resource sub-acquisition 3023 is allowed to obtain the statistics of the related indicators of the allowed access resources may be:
  • the RRC connection of the entire network is extracted to establish the maximum number of users as an indicator to judge its usage.
  • the detailed level of obtaining the usage of a certain capacity resource depends on the sampling method of obtaining the statistics of the relevant indicators of the capacity resource.
  • the traditional data acquisition method selects the relevant information of a certain time point or a certain statistical period, but because of the statistics Volatility, the data at a certain point in time is not representative, and the capacity overrun at a single point in time does not explain the network capacity usage during most of the time; because the usage of network capacity resources is busy Separate from free time, so all the statistics in the entire statistical period are selected for capacity assessment. It is easy for network capacity resources to exceed the limit when busy, but the average usage in the whole statistical period is not over-limit. The manner in which the statistical data of the indicator is obtained is easy for the subsequent evaluation to produce an erroneous result.
  • the embodiment can use the relevant data for obtaining the busy use condition of the network capacity resource.
  • the present embodiment uses the busy time information of the network capacity resource in multiple statistical periods. For example, the M statistics can be selected. In the period, the top N statistics with the largest value in each statistical period, where M and N are both user-settable, embodies the flexibility of the network capacity over-limit decision method in the embodiment of the present invention.
  • the determining module 303 is configured to determine whether the network capacity exceeds the limit according to the usage of the capacity resource.
  • the determining module 303 includes the following two units:
  • the data processing unit 3031 is configured to process related data for acquiring network capacity resource usage
  • the first type uses multiple means of calculation:
  • the board resources For the board resources, the allowed access resources, and the relevant indicators of the carrier frequency resources obtained by adopting the first mode, the third mode, and the fourth mode:
  • Average indicates the busy hour average of the relevant indicator
  • Sum represents the cumulative sum of the top N statistics with the largest value in each statistical period in M statistical periods.
  • the statistics of the obtained three indicators of the PUSCH resource utilization rate, the PDSCH resource utilization rate, and the cell downlink control channel utilization rate are calculated as described above, and the maximum value among the three indicators is obtained, which is used to characterize the PRB resource utilization rate. Then, the RRC connection at the same time is selected to establish the average of the average number of users as the associated RRC connection to establish the average number of users.
  • the second example is to obtain the target downlink service average rate in the average rate of nine downlink services in QCI1 to QCI9.
  • the average ERAB InSession activation time ratio of each cell corresponds to the average rate of a QCI downlink service. Therefore, when the maximum cell downlink ERAB InSession activation time ratio is determined, the downlink ERAB InSession activation time ratio of the cell can be obtained. The average rate of QCI downlink services.
  • the determining unit 3032 is configured to determine the foregoing indicator statistical data according to the condition, and obtain a judgment condition that the network capacity resource exceeds the limit;
  • the determining unit 3032 includes at least two of the carrier frequency resource determining sub-module 30321, the board resource determining sub-module 30322, and the allowed access resource determining sub-module 30323:
  • the carrier frequency resource determining sub-module 30321 is configured to determine whether the capacity of the carrier frequency resource exceeds the limit when the capacity resource includes the carrier frequency resource; and the condition for determining that the carrier frequency resource exceeds the limit includes:
  • Cell RRC connection establishment average number of users > “RRC connection establishment effective user number threshold”
  • user plane PDCP SDU uplink data amount > “user plane PDCP SDU uplink data volume threshold”
  • Cell RRC connection establishment average number of users > “RRC connection establishment effective user number threshold”
  • user plane PDCP SDU downlink data amount > “user plane PDCP SDU downlink data volume threshold”
  • Cell RRC connection establishment average number of users > “RRC connection establishment effective number of users threshold”
  • the highest ERAB InSession activation ratio in the cell QCI corresponds to the average downlink service rate” ⁇ "QCI downlink service average rate threshold.
  • the board resource judging sub-module 30322 is configured to determine whether the resource capacity of the board exceeds the limit when the capacity resource includes the board resource.
  • the allowed access resource judging sub-module 30323 is configured to determine whether the allowed access resource capacity exceeds the limit when the capacity resource includes the allowed access resource, and the condition for determining that the allowed access resource exceeds the limit includes:
  • the carrier frequency capacity resource As long as any one of the above-mentioned judgment conditions of the carrier frequency resource capacity exceeding the limit is satisfied, it can be determined that the carrier frequency capacity resource exceeds the limit, and thus the network capacity resource exceeding the limit can be determined; In other words, as long as the condition for exceeding the capacity of the board resource exceeds the limit, the board capacity resource may be exceeded, and the network capacity resource may be exceeded.
  • the allowed resource the allowed access resource is satisfied. If the capacity exceeds the limit condition, it can be determined that the allowed access resource capacity is out of limits, and it can be determined that the network capacity resource exceeds the limit.
  • the user can set the over-limit threshold of the statistical indicator related to the capacity resource as a criterion for judging the over-limit of the capacity resource. This fully embodies the flexibility of the network capacity overrun determination method of the embodiment of the present invention.
  • Embodiment 4 is a diagrammatic representation of Embodiment 4:
  • FIG. 6 is a schematic diagram of a network capacity management system according to an embodiment of the present invention.
  • the network capacity management system is based on the network capacity overrun determining apparatus 401 of the third embodiment, and includes:
  • the network capacity overrun determining apparatus 401 includes the following modules in the third embodiment:
  • the capacity overrun processing device 402 is configured to perform corresponding processing on the network capacity according to the determination result;
  • the user may select to expand the carrier frequency resource. If the capacity of the board is exceeded, the user can choose to expand the capacity of the board. If the capacity of the access resource exceeds the limit, you can choose to allow the user to access the resource for capacity expansion.
  • the embodiment further provides a processing method of resource multiplexing: if the resource capacity overrun in an area is only an individual case, the user may judge the idle resource according to the capacity resource over-limit judgment situation.
  • modules, boards, cells, sites, etc. can be reused.
  • the idle cell is adjusted to the busy site by the cutover, and the board on the idle station is transferred to the busy base station to maximize the multiplexing. Resources enable network capacity resources to maximize their value.
  • the statistical device 403 is configured to count the usage of the capacity resource
  • the ratio of the number of over-limits of capacity resources and the number of over-limits, the number of un-over-limits of each of the capacity resources, and the number of over-limits may be preset for the preset time period. At least one of the capacity expansion information of the capacity resource is counted.
  • Presentation device 404 is configured to visualize the presentation of statistical results in a graphical form.
  • the effect of the above-mentioned processing includes two aspects: firstly, the detailed statistical information of the capacity evaluation is presented in a tabular manner, including: the carrier frequency resource, the capacity of the board resource and the capacity of the allowed access resource are exceeded and the number of the limit is not exceeded.
  • the second step is to graphically display the statistics in the table.
  • the carrier frequency resources and the board resources need to show the proportion of their respective overruns and non-overruns.
  • the access resources need to display the current used capacity and preset thresholds of the network. The contrast between the two.
  • Table 1 is a statistical result obtained by statistically obtaining the number of overruns and the number of unoverruns of the three capacity resources.
  • the capacity of the carrier frequency resource capacity exceeds the limit and the number of the limit is 1207 and 2540 respectively.
  • Figure 7 shows the ratio of the number of overloaded capacity of the carrier frequency resource in Table 1 to the number of unoverruns.
  • the white part of the graph indicates that the number of overruns is 32.21%, and the black part indicates that the number of unoverruns is 67.79%.
  • the number of overcapacity and unoverrun of the board resources are 0 and 1132, respectively.
  • Figure 8 shows the ratio of the excess capacity of the board to the number of unoverruns in Table 1.
  • the proportion of the black part is 100%, which means that the capacity of the board is not exceeded.
  • the resources are allowed to access.
  • the number of capacity overruns and non-overruns is 1 and 0 respectively, which means that the allowed access resources for the entire network have exceeded the limit.
  • Figure 9 shows the capacity allowed for access resources and its preset threshold. A histogram between the ordinates of the histogram indicates the number of allowed resource capacities.
  • the user In the statistics displayed in the master profile, the user cannot locate the carrier frequency resource and the board resource whose capacity exceeds the limit. Therefore, you need to provide detailed information about the carrier frequency resource and the board resource in a detailed information page.
  • the details of the resources and board resources are used as hyperlinks to the main template, allowing users to choose to browse by themselves.
  • the detailed information of the carrier frequency resource and the board resource includes the alarm information, and the user enters the detailed information page from the master template through the hyperlink, finds the alarm information, and makes corresponding processing decisions on the alarm information.
  • the method includes determining at least two capacity resources for embodying network capacity, and acquiring usage of the at least two types of capacity resources in the network; The usage of the capacity resource determines whether the network capacity exceeds the limit.

Abstract

公开了一种网络容量超限判断、管理方法及装置,所述方法包括确定至少两种用于体现网络容量的容量资源;获取网络中所述至少两种容量资源的使用情况;根据所述容量资源的使用情况判断所述网络容量是否超限。通过获取至少两种用于体现网络容量的容量资源的使用情况,从两个维度上来判断网络容量是否超限,使判断结果更加准确合理,从而解决了相关技术中采用单一性能指标来判断网络容量不准确的技术问题。

Description

网络容量超限判断方法、装置及网络容量管理方法、系统 技术领域
本申请涉及移动通信领域,例如涉及一种网络容量超限判断方法、装置及网络容量管理方法、系统。
背景技术
TD-LTE(Time Division Long Term Evolution:分时长期演进)网络已经进入快速发展的商用阶段,现网中4G用户量持续快速增长,部分一线城市热点区域已经出现业务负荷高、用户业务感知下降的情况。现有的移动通信网络管理系统可以显示小区在某个时间点或者时间段内某些KPI(Key Performance Indicator:关键绩效指标)的情况,也可以在这些特定的时间点向用户发出告警,提示用户这些小区负荷过高,需要对网络进行扩容,但是这样做是有局限性的:单一的指标并不能反映网络容量的真实情况,导致用户无法准确了解网络容量资源的使用情况,也无法对网络容量管理做出正确的管理决策。
发明内容
本发明实施例要解决的主要技术问题是,提供一种网络容量超限判断方法、装置及网络容量管理方法、系统,解决相关技术中利用单一指标来判断网络容量而导致的判断结果不准确的技术问题。
为解决上述技术问题,本发明实施例提供一种网络容量超限判断方法,包括:
确定至少两种用于体现网络容量的容量资源;
获取网络中所述至少两种容量资源的使用情况;
根据所述容量资源的使用情况判断所述网络容量是否超限。
在本发明一种实施例中,所述容量资源包括载频资源、单板资源和允许接入资源中的至少两种。
在本发明一种实施例中,所述容量资源包括载频资源时,通过获取以下几 种指标组合使用情况中的至少一种表征所述载频资源的使用情况:
小区无线资源控制层连接建立最大用户数;
小区无线资源控制层连接建立平均用户数和物理资源块资源利用率;
小区无线资源控制层连接建立平均用户数和用户面分组数据汇聚协议业务数据单元上行数据量;
小区无线资源控制层连接建立平均用户数和用户面分组数据汇聚协议业务数据单元下行数据量;
小区无线资源控制层连接建立平均用户数和小区服务质量标识中最高的无线承载下行会话激活占比所对应的下行业务平均速率;
所述容量资源包括单板资源时,通过获取单板中央处理单元平均使用率表征单板资源使用情况;
所述容量资源包括允许接入资源时,通过获取全网无线资源控制层连接建立最大用户数的平均值表征所述允许接入资源使用情况。
在本发明一种实施例中,所述容量资源包括载频资源时,判断所述网络容量是否超限包括判断载频容量是否超限;判断载频容量是否超限包括判断是否满足以下几个条件中的至少一个:
“小区无线资源控制层连接建立最大用户数”>“小区无线资源控制层连接建立最大用户数门限”;
“小区无线资源控制层连接建立平均用户数”>“小区无线资源控制层连接建立有效用户数门限”,且“物理资源块资源利用率”>“物理资源块资源利用率门限”;
“小区无线资源控制层连接建立平均用户数”>“小区无线资源控制层连接建立有效用户数门限”,且“用户面分组数据汇聚协议业务数据单元上行数据量”>“用户面分组数据汇聚协议业务数据单元上行数据量门限”;
“小区无线资源控制层连接建立平均用户数”>“小区无线资源控制层连接建立有效用户数门限”,且“用户面分组数据汇聚协议业务数据单元下行数据量”>“用户面分组数据汇聚协议业务数据单元下行数据量门限”;
“小区无线资源控制层连接建立平均用户数”>“小区无线资源控制层连接 建立有效用户数门限”,且“小区服务质量标识中最高的无线承载下行会话激活占比所对应的下行业务平均速率”<“服务质量标识下行业务平均速率门限”;
所述容量资源包括单板资源时,判断所述网络容量是否超限包括判断单板容量是否超限;判断单板容量是否超限包括判断是否满足以下条件:
“中央处理单元平均使用率”>“中央处理单元使用率门限”;
所述容量资源包括允许接入资源时,判断所述网络容量是否超限包括判断允许接入资源容量是否超限;判断允许接入资源容量是否超限包括判断是否满足以下条件:
“全网无线资源控制层连接建立最大用户数的平均值”>“允许接入数量”。
本发明实施例还提供一种网络容量管理方法,包括:
采用以上所述的网络容量超限判断方法判断所述网络容量是否超限;
判断所述网络容量超限时,根据判断结果对所述网络容量进行对应的扩容处理。
在本发明一种实施例中,所述网络容量管理方法还包括:
对预设时间段或预设超限判断次数中,容量资源未超限数目与超限数目、各所述容量资源的未超限数目与超限数目的占比关系、各所述容量资源的扩容信息中的至少一种进行统计。
本发明实施例还提供一种网络容量超限判断装置,包括:
选择模块,被配置为确定至少两种用于体现网络容量的容量资源;
获取模块,被配置为获取网络中所述至少两种容量资源的使用情况;
判断模块,被配置为根据所述容量资源的使用情况判断网络容量是否超限。
在本发明一种实施例中,所述选择模块选择的所述容量资源包括载频资源、单板资源、允许接入资源中的至少两种。
在本发明一种实施例中,所述获取模块还包括载频资源获取子模块、单板资源获取子模块、允许接入资源获取子模块中的至少两个:
所述载频资源获取子模块,被配置为获取以下几种指标组合使用情况中的至少一种来表征所述载频资源的使用情况:
小区无线资源控制层连接建立最大用户数;
小区无线资源控制层连接建立平均用户数和物理资源块资源利用率;
小区无线资源控制层连接建立平均用户数和用户面分组数据汇聚协议业务数据单元上行数据量;
小区无线资源控制层连接建立平均用户数和用户面分组数据汇聚协议业务数据单元下行数据量;
小区无线资源控制层连接建立平均用户数和小区服务质量标识中最高的无线承载下行会话激活占比所对应的下行业务平均速率;
所述单板资源获取子模块,被配置为获取所述单板资源中央处理单元平均使用率来表征单板资源使用情况;
所述允许接入资源获取子模块,被配置为获取全网无线资源控制层连接建立最大用户数的平均值来表征所述允许接入资源使用情况。
在本发明一种实施例中,所述判断模块包括载频资源判断子模块、单板资源判断子模块、允许接入资源判断子模块;
所述载频资源判断子模块被配置为在所述容量资源包括所述载频资源时,判断所述载频资源容量是否超限;所述载频判断子模块判断载频资源容量是否超限包括判断是否满足以下几个条件中的至少一个:
“小区无线资源控制层连接建立最大用户数”>“小区无线资源控制层连接建立最大用户数门限”;
“小区无线资源控制层连接建立平均用户数”>“小区无线资源控制层连接建立有效用户数门限”,且“物理资源块资源利用率”>“物理资源块资源利用率门限”;
“小区无线资源控制层连接建立平均用户数”>“小区无线资源控制层连接建立有效用户数门限”,且“用户面分组数据汇聚协议业务数据单元上行数据量”>“用户面分组数据汇聚协议业务数据单元上行数据量门限”;
“小区无线资源控制层连接建立平均用户数”>“小区无线资源控制层连接建立有效用户数门限”,且“用户面分组数据汇聚协议业务数据单元下行数据量”>“用户面分组数据汇聚协议业务数据单元下行数据量门限”;
“小区无线资源控制层连接建立平均用户数”>“小区无线资源控制层连接建立有效用户数门限”,且“小区服务质量标识中最高的无线承载下行会话激活占比所对应的下行业务平均速率”<“服务质量标识下行业务平均速率门限”;
所述单板资源判断子模块被配置为在所述容量资源包括所述单板资源时,判断所述单板资源容量是否超限;判断所述单板资源容量是否超限包括判断是否满足以下条件:
“中央处理单元平均使用率”>“中央处理单元使用率门限”;
所述允许接入资源判断子模块被配置为在所述容量资源包括所述允许接入资源时,判断所述允许接入资源容量是否超限;判断所述允许接入资源容量是否超限包括判断是否满足以下条件:
“全网无线资源控制层连接建立最大用户数的平均值”>“允许接入资源数量”。
本发明实施例还提供一种网络容量管理装置,包括扩容装置和以上所述的判断所述网络容量是否超限的网络容量超限判断装置:
所述网络容量超限判断装置被配置为判断所述网络容量是否超限;
所述扩容装置被配置为在所述网络容量超限时,根据判断结果对所述网络容量进行对应的扩容处理。
在本发明一种实施例中,所述网络容量管理装置还包括:
统计装置,被配置为统计预设时间段或预设超限判断次数中容量资源未超限数目与超限数目、各所述容量资源的未超限数目与超限数目的占比关系、各所述容量资源的扩容信息中的至少一种。
本发明实施例的有益效果是:
本发明实施例提供的网络容量超限判断方法、装置及网络容量管理方法、系统,通过获取至少两种用于体现网络容量的容量资源的使用情况,从至少两个维度上来判断网络容量是否超限,使判断结果更加合理准确,从而解决了相关技术中采用单一性能指标来判断网络容量不准确的技术问题;进而使得根据该判断结果所做出的扩容处理决策更加合理,更利于资源的有效利用和提升资源利用率。
附图概述
图1为本发明实施例一的网络容量超限判断方法流程图;
图2为本发明实施例一的网络容量超限判断方法中的判断流程图;
图3为本发明实施例二的网络容量管理方法流程图;
图4为本发明实施例三的网络容量超限判断装置示意图;
图5为本发明实施例三的网络容量超限判断装置中的判断模块示意图;
图6为本发明实施例四的网络容量管理系统示意图;
图7为本发明实施例四呈现的载频资源超限数目与为超限数目的占比关系图;
图8为本发明实施例四呈现的单板资源超限数目与为超限数目的占比关系图;
图9为本发明实施例四呈现的允许接入资源已使用容量与其预设阈值的柱状图。
本发明的实施方式
下面通过实施方式结合附图对本发明进行详细说明。
实施例一:
为了解决相关技术中采用单一指标对网络容量进行判断导致的不足,本实施例提供了一种应用于移动通信领域的网络容量超限判断方法,这种判断方法从不同的维度上合理判断网络容量的现状,让用户获知准确网络容量资源的使用情况,从而为后续的容量管理提供可靠的依据。
请参考图1,图1为本发明实施例提供的一种网络容量超限判断方法流程图;
该网络容量超限判断方法包括以下步骤:
步骤101,确定至少两种用于体现网络容量的容量资源;
为了让用户能够了解硬件和软件两方面的资源容量的使用情况,在本实施例中,选择了载频资源、单板资源来体现网络硬件使用情况,同时采用了允许接入资源License来表征网络软件资源使用情况。另一方面,载频资源、单板资源、允许接入资源分别采用空口、用户感知速率和吞吐量三种维度的指标作为统计源来得出网络容量状态。
步骤102,获取网络中所述至少两种容量资源使用情况;
相关技术在进行网络容量评判时,都只选择一个单一指标在一个维度对网络容量是否超限进行判断,当根据其选择的指标判断并未超限时,则认为网络容量未超限。这种评判方式会并不能尽可能的真实反映网络的实际情况,例如:假设当前网络的真实情况是在维度A的容量资源已超限,而当前所选择的单一指标却只能从维度B评判网络容量是否超限,且当判断结果为未超时则认定网络容量未超,与网络实际情况并不相符。而本发明实施例通过获取至少两个维度的容量资源的使用情况,从不同维度上判断不同的容量资源是否超限,使判断结果尽可能与网络的真实情况相符,从而提高判断网络容量超限与否的精确性。在本实施例中,分别对小区、基站涉及到的指标进行数据的抽取作为网络容量超限判决的源数据,对于评判载频资源的使用情况而言,可以选择抽取指标的方式包括以下几种方式中的至少一种:
一、单独抽取小区无线资源控制层RRC连接建立最大用户数;
二、同时抽取小区RRC连接建立平均用户数和物理上行共享信道PUSCH资源利用率、物理下行共享信道PDSCH资源利用率、小区下行控制信道利用率;
三、同时抽取小区RRC连接建立平均用户数和用户面分组数据汇聚协议业务数据单元PDCP SDU上行数据量;
四、同时抽取小区RRC连接建立平均用户数和用户面PDCP SDU下行数据量;
五、同时抽取小区无线承载下行会话ERAB InSession激活占比、服务质量标识QCI下行业务平均速率和小区RRC连接建立平均用户数。
在这五种指标抽取方式中,除第一种以外,其他方式都包括一个主指标和一个辅助指标;在方式二中,小区RRC连接建立平均用户数作为辅助指标,PUSCH资源利用率、PDSCH资源利用率、小区下行控制信道利用率三者中的 最大值用以表征主指标物理资源块PRB资源利用率;方式三、方式四中,小区RRC连接建立平均用户数作为主指标,而相应的用户面PDCP SDU上行数据量、用户面PDCP SDU下行数据量分别作为三种抽取方式的辅助指标;在方式五当中,小区RRC连接建立平均用户数作为辅助指标,而小区QCI中最高的ERAB InSession激活占比所对应的下行业务平均速率则成为了主指标。
对于单板资源而言,可以选择抽取中央处理单元CPU平均使用率作为指标来评判其使用情况。
对于允许接入资源而言,可以选择抽取全网RRC连接建立最大用户数作为指标来评判其使用情况。
获取某个容量资源使用情况的详细程度取决于获取容量资源相关指标的统计数据的取样方式,传统的数据获取方式选择获取的是某个时间点或者某一个统计周期的相关信息,但是由于统计具有波动性,单一的某个时间点的数据并不是具有代表性,单个时间点的容量超限与否也并不能说明大多数时间内的网络容量使用情况;由于网络容量资源的使用情况具有忙时与闲时之分,所以选择整个统计周期内的全部统计数据进行容量评估容易出现网络容量资源在忙时已经超限,但是在整个统计周期内地平均使用情况却并非超限的情况,也就是说,这种指标相关统计数据的获取方式容易让后续的评判产生错误的结果,所以,本实施例可以采用获取网络容量资源忙时使用情况的相关数据。但是,如果仅仅抽取某一个统计周期的忙时信息也并不具有代表性,所以,本实施例采用了获取网络容量资源在多个统计周期内的忙时信息,例如,可以选择获取M个统计周期中,每个统计周期里值最大的前N个统计数据,这里的M和N都是用户可以自己设定的,体现了本发明实施例中网络容量超限判决方法的灵活性。
步骤103,根据所述容量资源的使用情况判断所述网络容量是否超限。
请参考图2,在本实施例中,实现步骤103可经历以下两个过程:
步骤1031,对获取网络容量资源使用情况的相关数据进行处理;
在本实施例中,处理方式有两种:
第一种,采用多次均值计算方式:
针对单板资源、允许接入资源和通过采用方式一、方式三、方式四获取的载频资源相关指标而言:
Average=Sum/(M*N);
Average表示相关指标的忙时均值;
Sum表示在M个统计周期内,每个统计周期内值最大的前N个统计数据的累加和。
针对通过方式二获取的载频资源相关指标而言:
首先对获取的PUSCH资源利用率、PDSCH资源利用率、小区下行控制信道利用率三个指标的统计数据进行如上所述的计算,获得三个指标中均值最大的值,用于表征PRB资源利用率;然后再选择相同时刻的RRC连接建立平均用户数的均值作为其关联的RRC连接建立平均用户数。
第二种,针对通过采用方式五获取的载频资源相关指标而言,这里以在QCI1~QCI9九个下行业务平均速率中获取目标下行业务平均速率为例:
首先,比较QCI1~QCI9九个小区下行ERAB InSession激活时间占比中哪个值最大;
由于每个小区下行ERAB InSession激活时间占比都对应一个QCI下行业务平均速率,所以,当确定了最大的小区下行ERAB InSession激活时间占比后,就可以得到这个小区下行ERAB InSession激活时间占比相应的QCI下行业务平均速率。
步骤1032,根据条件对上述指标数据的处理结果进行判断,得到网络容量资源超限的判决情况;
判断载频资源超限的条件包括:
“小区RRC连接建立最大用户数”>“RRC连接建立最大用户数门限”;
“小区RRC连接建立平均用户数”>“RRC连接建立有效用户数门限”,且“PRB资源利用率”>“PRB资源利用率门限”;
“小区RRC连接建立平均用户数”>“RRC连接建立有效用户数门限”,且“用户面PDCP SDU上行数据量”>“用户面PDCP SDU上行数据量门限”;
“小区RRC连接建立平均用户数”>“RRC连接建立有效用户数门限”,且“用户面PDCP SDU下行数据量”>“用户面PDCP SDU下行数据量门限”;
“小区RRC连接建立平均用户数”>“RRC连接建立有效用户数门限”,且 “小区QCI中最高的ERAB InSession激活占比所对应的下行业务平均速率”<“QCI下行业务平均速率门限”。
判断单板资源超限的条件包括:
“CPU平均使用率”>“CPU使用率门限”。
判断允许接入资源超限的条件包括:
“全网RRC连接建立最大用户数的平均值”>“允许接入资源数量”。
针对载频容量资源而言,只要满足上述载频资源容量超限的判决条件中的任意一个,则可以判定载频容量资源超限,也就可以判定网络容量资源超限;针对单板资源而言,只要满足上述单板资源容量超限的判决条件,则可以判定单板容量资源超限,也就可以判定网络容量资源超限;针对允许接入资源而言,只要满足上述允许接入资源容量超限的判决条件,则可以判定允许接入资源容量超限,也就可以判定网络容量资源超限。
因为在实际情况中,各个地区的容量告警值不同,所以设置相同的容量告警值会让某些地区的网络容量超限判断结果不准确。因此在本实施例中,用户可以自行设定容量资源相关统计指标的超限阈值,以此作为判断容量资源超限的标准。这充分体现了本发明实施例的网络容量超限判断方法的灵活性。
实施例二:
图3为本发明实施例提供的一种网络容量管理方法流程图。
请参考图3,该网络容量管理方法在实施例一的网络容量超限管理方法的基础上包括以下步骤:
步骤201,采用实施例一中的网络容量超限判断方法对网络容量进行判断;
在本实施例中,步骤201包括实施例一中的以下步骤:
步骤101,确定至少两种用于体现网络容量的容量资源;
步骤102,获取网络中所述至少两种容量资源使用情况;
步骤103,根据容量资源的使用情况判断所述网络容量是否超限。
步骤202,根据判断结果对网络容量进行对应的处理;
在本实施例中,如果载频资源容量超限,用户可以选择对载频资源进行扩 容处理;如果单板资源容量超限,用户可以选择对单板容量资源进行扩容处理;如果允许接入资源容量超限,用户可以选择对允许用户接入资源进行扩容处理。
除了上述直接进行扩容的处理方式以外,本实施例还提供资源复用的处理方式:如果某个区域内资源容量超限只是个别情况,此时用户可以根据容量资源超限判决情况对空闲的资源进行复用,模块、单板、小区、站点等都可以复用,如:通过割接将空闲小区调整到忙站点下,将空闲站上的单板调到忙基站上,最大程度的复用资源,使得网络容量资源都能发挥最大的使用价值。
步骤203,统计容量资源的判断结果与相应的扩容信息;
在本实施例中,可以对预设时间段预设超限判断次数中容量资源未超限数目与超限数目、各所述容量资源的未超限数目与超限数目的占比关系、各所述容量资源的扩容信息中的至少一种进行统计。
步骤204,以图表化的形式可视化呈现统计结果。
上述处理之后所呈现出来的效果包含两个方面:首先表格化呈现容量评估的详细统计信息,包括:载频资源,单板资源和允许接入资源容量超限和未超限的数目。其次是用图形化的方式展现表格中统计的数据。载频资源和单板资源需要展现各自超限和未超限的占比,允许接入资源需要展现网络容量和预设的阈值之间的对比。
在主模板中展现的统计结果中,用户无法定位容量超限的载频资源和单板资源,因此还需要在一个详细信息页面中提供载频资源和单板资源的详细信息,可以将载频资源和单板资源的详细信息作为主模板的超链接,让用户自己选择浏览。在本实施例中,载频资源和单板资源的详细信息中包含有告警信息,用户通过超链接从主模板进入详细信息页面,发现告警信息,并对告警信息做出相应的处理决策。
实施例三:
请参考图4,图4为本发明实施例提供的一种网络容量超限判断装置示意图;如图4所示,该网络容量超限判断装置包括以下模块:
选择模块301,被配置为确定至少两种用于体现网络容量的容量资源;
为了让用户能够了解硬件和软件两方面的资源容量的使用情况,在本实施例中,选择模块301选择了载频资源、单板资源来体现网络硬件使用情况,同 时采用了允许接入资源来表征网络软件资源使用情况。另一方面,载频资源、单板资源、允许接入资源分别采用空口、用户感知速率和吞吐量三种维度的指标作为统计源来得出网络容量状态。
获取模块302,获取模块302包括载频资源获取子模块3021、单板资源获取子模块3022、允许接入资源获取子模块3023中的至少两个:
在本实施例中,载频资源获取子模块3021获取载频资源相关指标统计数据的方式可以为以下几种中的至少一种:
一、单独抽取小区RRC连接建立最大用户数;
二、同时抽取小区RRC连接建立平均用户数和PUSCH资源利用率、PDSCH资源利用率、小区下行控制信道利用率;
三、同时抽取小区RRC连接建立平均用户数和用户面PDCP SDU上行数据量;
四、同时抽取小区RRC连接建立平均用户数和用户面PDCP SDU下行数据量;
五、同时抽取小区下行ERAB InSession激活占比、QCI下行业务平均速率和RRC连接建立平均用户数。
在以上五种指标抽取方式中,除第一种以外,其他方式都包括一个主指标和一个辅助指标;在方式二中,RRC连接建立平均用户数作为辅助指标,PUSCH资源利用率、PDSCH资源利用率、小区下行控制信道利用率三者中的最大值用以表征主指标PRB资源利用率;方式三、方式四中,RRC连接建立平均用户数作为主指标,而相应的用户面PDCP SDU上行数据量、用户面PDCP SDU下行数据量分别作为三种抽取方式的辅助指标;在方式五当中,RRC连接建立平均用户数作为辅助指标,小区QCI中最高的ERAB InSession激活占比所对应的下行业务平均速率则成为了主指标。
单板资源获取子模块3022获取单板资源相关指标统计数据的方式可以为:
抽取CPU平均使用率作为指标来评判其使用情况。
允许接入资源子获取3023获取允许接入资源相关指标统计数据的方式可以为:
抽取全网的RRC连接建立最大用户数作为指标来评判其使用情况。
获取某个容量资源使用情况的详细程度取决于获取容量资源相关指标的统计数据的取样方式,传统的数据获取方式选择获取的是某个时间点或者某一个统计周期的相关信息,但是由于统计具有波动性,单一的某个时间点的数据并不是具有代表性,单个时间点的容量超限与否也并不能说明大多数时间内的网络容量使用情况;由于网络容量资源的使用情况具忙时与闲时之分,所以选择整个统计周期内的全部统计数据进行容量评估容易出现网络容量资源在忙时已经超限,但是在整个统计周期内地平均使用情况却并非超限的情况,也就是说,这种指标相关统计数据的获取方式容易让后续的评判产生错误的结果,所以,本实施例可以采用获取网络容量资源忙时使用情况的相关数据。但是,如果仅仅抽取某一个统计周期的忙时信息也并不具有代表性,所以,本实施例采用了获取网络容量资源在多个统计周期内的忙时信息,例如,可以选择获取M个统计周期中,每个统计周期里值最大的前N个统计数据,这里的M和N都是用户可以自己设定的,体现了本发明实施例中网络容量超限判决方法的灵活性。
判断模块303,被配置为根据所述容量资源的使用情况判断所述网络容量是否超限。
请参考图5,在本实施例中,判断模块303包括以下两个单元:
数据处理单元3031,被配置为对获取网络容量资源使用情况的相关数据进行处理;
在本实施例中,处理方式有两种:
第一种,采用多次均值计算方式:
针对单板资源、允许接入资源和通过采用方式一、方式三、方式四获取的载频资源相关指标而言:
Average=Sum/(M*N);
Average表示相关指标的忙时均值;
Sum表示在M个统计周期内,每个统计周期内值最大的前N个统计数据的累加和。
针对通过方式二获取的载频资源相关指标而言:
首先对获取的PUSCH资源利用率、PDSCH资源利用率、小区下行控制信道利用率三个指标的统计数据进行如上所述的计算,获得三个指标中均值最大的值,用于表征PRB资源利用率;然后再选择相同时刻的RRC连接建立平均用户数的均值作为其关联的RRC连接建立平均用户数。
第二种,针对通过采用方式五获取的载频资源相关指标而言,这里以在QCI1~QCI9九个下行业务平均速率中获取目标下行业务平均速率为例:
首先,比较QCI1~QCI9九个小区下行ERAB InSession激活时间占比中哪个值最大;
由于每个小区下行ERAB InSession激活时间占比都对应一个QCI下行业务平均速率,所以,当确定了最大的小区下行ERAB InSession激活时间占比后,就可以得到这个小区下行ERAB InSession激活时间占比相应的QCI下行业务平均速率。
判断单元3032,被配置为根据条件对上述指标统计数据进行判断,得到网络容量资源超限的判决情况;
判断单元3032包括载频资源判断子模块30321、单板资源判断子模块30322、允许接入资源判断子模块30323中的至少两个:
载频资源判断子模块30321被配置为当容量资源包括载频资源时,判断载频资源容量是否超限;判断载频资源超限的条件包括:
“小区RRC连接建立最大用户数”>“RRC连接建立最大用户数门限”;
“小区RRC连接建立平均用户数”>“RRC连接建立有效用户数门限”,且“PRB资源利用率”>“PRB资源利用率门限”;
“小区RRC连接建立平均用户数”>“RRC连接建立有效用户数门限”,且“用户面PDCP SDU上行数据量”>“用户面PDCP SDU上行数据量门限”;
“小区RRC连接建立平均用户数”>“RRC连接建立有效用户数门限”,且“用户面PDCP SDU下行数据量”>“用户面PDCP SDU下行数据量门限”;
“小区RRC连接建立平均用户数”>“RRC连接建立有效用户数门限”,且“小区QCI中最高的ERAB InSession激活占比所对应的下行业务平均速率”<“QCI下行业务平均速率门限”。
单板资源判断子模块30322被配置为当容量资源包括单板资源时,判断单板资源容量是否超限;判断单板资源超限的条件包括:
“CPU平均使用率”>“CPU使用率门限”。
允许接入资源判断子模块30323被配置为当容量资源包括允许接入资源时,判断允许接入资源容量是否超限;判断允许接入资源超限的条件包括:
“全网RRC连接建立最大用户数的平均值”>“允许接入资源数量”。
针对载频容量资源而言,只要满足上述载频资源容量超限的判决条件中的任意一个,则可以判定载频容量资源超限,也就可以判定网络容量资源超限;针对单板资源而言,只要满足上述单板资源容量超限的判决条件,则可以判定单板容量资源超限,也就可以判定网络容量资源超限;针对允许接入资源而言,只要满足上述允许接入资源容量超限的判决条件,则可以判定允许接入资源容量超限,也就可以判定网络容量资源超限。
因为在实际情况中,各个地区的容量告警值不同,所以设置相同的容量告警值会让某些地区的网络容量超限判断结果不准确。因此在本实施例中,用户可以自行设定容量资源相关统计指标的超限阈值,以此作为判断容量资源超限的标准。这充分体现了本发明实施例的网络容量超限判断方法的灵活性。
实施例四:
图6为本发明实施例提供的一种网络容量管理系统示意图;
请参考图6,该网络容量管理系统在实施例三的网络容量超限判断装置401的基础上,包括:
网络容量超限判断装置401;
在本实施例中,网络容量超限判断装置401包括实施例三中的以下模块:
选择模块301;
获取模块302;
判断模块303;
容量超限处理装置402,被配置为根据判断结果对网络容量进行对应的处理;
在本实施例中,如果载频资源容量超限,用户可以选择对载频资源进行扩 容处理;如果单板资源容量超限,用户可以选择对单板容量资源进行扩容处理;如果允许接入资源容量超限,用户可以选择对允许用户接入资源进行扩容处理。
除了上述直接进行扩容的处理方式以外,本实施例还提供资源复用的处理方式:如果某个区域内资源容量超限只是个别情况,此时用户可以根据容量资源超限判决情况对空闲的资源进行复用,模块、单板、小区、站点等都可以复用,如:通过割接将空闲小区调整到忙站点下,将空闲站上的单板调到忙基站上,最大程度的复用资源,使得网络容量资源都能发挥最大的使用价值。
统计装置403,被配置为统计容量资源的使用情况;
在本实施例中,可以对预设时间段预设超限判断次数中容量资源未超限数目与超限数目、各所述容量资源的未超限数目与超限数目的占比关系、各所述容量资源的扩容信息中的至少一种进行统计。
呈现装置404,被配置为以图表化的形式可视化呈现统计结果。
上述处理之后所呈现出来的效果包含两个方面:首先表格化呈现容量评估的详细统计信息,包括:载频资源,单板资源和允许接入资源的容量超限和未超限的数目。其次是用图形化的方式展现表格中统计的数据,载频资源和单板资源需要展现各自超限和未超限的占比,允许接入资源需要展示网络当前已使用容量和预设阈值之间的对比。
请参考图7-9和以下表1:
表1
Figure PCTCN2016074696-appb-000001
表1是分别对三种容量资源容量超限数目与未超限数目进行统计获得的统计结果。表1中,载频资源容量超限和未超限的数目分别为1207和2540,对应的,图7呈现的是表1中载频资源容量超限数目与未超限数目的占比,饼状图的白色部分表示超限数目占比为32.21%,黑色部分表示未超限数目占比为67.79%;表1中,单板资源容量超限和未超限的数目分别为0和1132,对应的, 图8呈现的是表1中单板资源容量超限数目与未超限数目的占比,黑色部分占比为100%,意味着单板资源容量未超限;表1中,允许接入资源容量超限和未超限的数目分别为1和0,意味着针对全网的允许接入资源已经超限,对应的,图9呈现的是允许接入资源已使用的容量和其预设阈值之间的柱状图,柱状图的纵坐标表示允许接入资源容量的数目。
在主模板中展现的统计结果中,用户无法定位容量超限的载频资源和单板资源,因此还需要在一个详细信息页面中提供载频资源和单板资源的详细信息,可以将载频资源和单板资源的详细信息作为主模板的超链接,让用户自己选择浏览。在本实施例中,载频资源和单板资源的详细信息中包含有告警信息,用户通过超链接从主模板进入详细信息页面,发现告警信息,并对告警信息做出相应的处理决策。
以上内容是结合实施方式对本发明所作的详细说明,不能认定本发明的实施只局限于这些说明。对于所属技术领域的普通技术人员来说,在不脱离本发明方案的前提下,还可以做出若干简单推演或替换,都应当视为属于本发明的保护范围。
工业实用性
本申请公开的网络容量超限判断、管理方法及装置中,所述方法包括确定至少两种用于体现网络容量的容量资源;获取网络中所述至少两种容量资源的使用情况;根据所述容量资源的使用情况判断所述网络容量是否超限。通过获取至少两种用于体现网络容量的容量资源的使用情况,从两个维度上来判断网络容量是否超限,使判断结果更加准确合理,从而解决了相关技术中采用单一性能指标来判断网络容量不准确的技术问题。

Claims (12)

  1. 一种网络容量超限判断方法,包括:
    确定至少两种用于体现网络容量的容量资源;
    获取网络中所述至少两种容量资源的使用情况;
    根据所述容量资源的使用情况判断所述网络容量是否超限。
  2. 如权利要求1所述的方法,其中,所述容量资源包括载频资源、单板资源和允许接入资源中的至少两种。
  3. 如权利要求2所述的方法,其中,所述容量资源包括载频资源时,通过获取以下几种指标组合使用情况中的至少一种表征所述载频资源的使用情况:
    小区无线资源控制层连接建立最大用户数;
    小区无线资源控制层连接建立平均用户数和物理资源块资源利用率;
    小区无线资源控制层连接建立平均用户数和用户面分组数据汇聚协议业务数据单元上行数据量;
    小区无线资源控制层连接建立平均用户数和用户面分组数据汇聚协议业务数据单元下行数据量;
    小区无线资源控制层连接建立平均用户数和小区服务质量标识中最高的无线承载下行会话激活占比所对应的下行业务平均速率;
    所述容量资源包括单板资源时,通过获取单板中央处理单元平均使用率表征单板资源使用情况;
    所述容量资源包括允许接入资源时,通过获取全网无线资源控制层连接建立最大用户数的平均值表征所述允许接入资源使用情况。
  4. 如权利要求3所述的方法,其中,所述容量资源包括载频资源时,判断所述网络容量是否超限包括判断载频容量是否超限;判断载频容量是否超限包 括判断是否满足以下几个条件中的至少一个:
    “小区无线资源控制层连接建立最大用户数”>“小区无线资源控制层连接建立最大用户数门限”;
    “小区无线资源控制层连接建立平均用户数”>“小区无线资源控制层连接建立有效用户数门限”,且“物理资源块资源利用率”>“物理资源块资源利用率门限”;
    “小区无线资源控制层连接建立平均用户数”>“小区无线资源控制层连接建立有效用户数门限”,且“用户面分组数据汇聚协议业务数据单元上行数据量”>“用户面分组数据汇聚协议业务数据单元上行数据量门限”;
    “小区无线资源控制层连接建立平均用户数”>“小区无线资源控制层连接建立有效用户数门限”,且“用户面分组数据汇聚协议业务数据单元下行数据量”>“用户面分组数据汇聚协议业务数据单元下行数据量门限”;
    “小区无线资源控制层连接建立平均用户数”>“小区无线资源控制层连接建立有效用户数门限”,且“小区服务质量标识中最高的无线承载下行会话激活占比所对应的下行业务平均速率”<“服务质量标识下行业务平均速率门限”;
    所述容量资源包括单板资源时,判断所述网络容量是否超限包括判断单板容量是否超限;判断单板容量是否超限包括判断是否满足以下条件:
    “中央处理单元平均使用率”>“中央处理单元使用率门限”;
    所述容量资源包括允许接入资源时,判断所述网络容量是否超限包括判断允许接入资源容量是否超限;判断允许接入资源容量是否超限包括判断是否满足以下条件:
    “全网无线资源控制层连接建立最大用户数的平均值”>“允许接入资源数量”。
  5. 一种网络容量管理方法,包括:
    采用如权利要求1-4中任一项所述的网络容量超限判断方法判断所述网络容量是否超限;
    判断所述网络容量超限时,根据判断结果对所述网络容量进行对应的扩容处理。
  6. 如权利要求5所述的方法,还包括:
    对预设时间段或预设超限判断次数中,各所述容量资源未超限数目与超限数目、各所述容量资源的未超限数目与超限数目的占比关系、各所述容量资源的扩容信息中的至少一种进行统计。
  7. 一种网络容量超限判断装置,包括:
    选择模块,被配置为确定至少两种用于体现网络容量的容量资源;
    获取模块,被配置为获取网络中所述至少两种容量资源的使用情况;
    判断模块,被配置为根据所述容量资源的使用情况判断网络容量是否超限。
  8. 如权利要求7所述的装置,其中,所述选择模块选择的所述容量资源包括载频资源、单板资源、允许接入资源中的至少两种。
  9. 如权利要求8所述的装置,其中,所述获取模块包括载频资源获取子模块、单板资源获取子模块、允许接入资源获取子模块中的至少两个:
    所述载频资源获取子模块,被配置为获取以下几种指标组合使用情况中的至少一种来表征所述载频资源的使用情况:
    小区无线资源控制层连接建立最大用户数;
    小区无线资源控制层连接建立平均用户数和物理资源块资源利用率;
    小区无线资源控制层连接建立平均用户数和用户面分组数据汇聚协议业务数据单元上行数据量;
    小区无线资源控制层连接建立平均用户数和用户面分组数据汇聚协议业务数据单元下行数据量;
    小区无线资源控制层连接建立平均用户数和小区服务质量标识中最高的无线承载下行会话激活占比所对应的下行业务平均速率;
    所述单板资源获取子模块,被配置为获取所述单板资源中央处理单元平均使用率来表征单板资源使用情况;
    所述允许接入资源获取子模块,被配置为获取全网无线资源控制层连接建立最大用户数的平均值来表征所述允许接入资源使用情况。
  10. 如权利要求9所述的装置,其中,所述判断模块包括载频资源判断子模块、单板资源判断子模块、允许接入资源判断子模块;
    所述载频资源判断子模块被配置为在所述容量资源包括所述载频资源时,判断所述载频资源容量是否超限;所述载频判断子模块判断载频资源容量是否超限时被配置为判断是否满足以下几个条件中的至少一个:
    “小区无线资源控制层连接建立最大用户数”>“小区无线资源控制层连接建立最大用户数门限”;
    “小区无线资源控制层连接建立平均用户数”>“小区无线资源控制层连接建立有效用户数门限”,且“物理资源块资源利用率”>“物理资源块资源利用率门限”;
    “小区无线资源控制层连接建立平均用户数”>“小区无线资源控制层连接建立有效用户数门限”,且“用户面分组数据汇聚协议业务数据单元上行数据量”>“用户面分组数据汇聚协议业务数据单元上行数据量门限”;
    “小区无线资源控制层连接建立平均用户数”>“小区无线资源控制层连接建立有效用户数门限”,且“用户面分组数据汇聚协议业务数据单元下行数据 量”>“用户面分组数据汇聚协议业务数据单元下行数据量门限”;
    “小区无线资源控制层连接建立平均用户数”>“小区无线资源控制层连接建立有效用户数门限”,且“小区服务质量标识中最高的无线承载下行会话激活占比所对应的下行业务平均速率”<“服务质量标识下行业务平均速率门限”;
    所述单板资源判断子模块被配置为在所述容量资源包括所述单板资源时,判断所述单板资源容量是否超限;所述单板资源判断子模块判断所述单板资源容量是否超限时被配置为判断是否满足以下条件:
    “中央处理单元平均使用率”>“中央处理单元使用率门限”;
    所述允许接入资源判断子模块被配置为在所述容量资源包括所述允许接入资源时,判断所述允许接入资源容量是否超限;所述允许接入资源判断子模块判断所述允许接入资源容量是否超限时被配置为判断是否满足以下条件:
    “全网无线资源控制层连接建立最大用户数的平均值”>“允许接入资源数量”。
  11. 一种网络容量管理系统,包括扩容装置和如权利要求7-10中任意一项所述的网络容量超限判断装置;
    所述网络容量超限判断装置被配置为判断所述网络容量是否超限;
    所述扩容装置被配置为在所述网络容量超限时,根据判断结果对所述网络容量进行对应的扩容处理。
  12. 如权利要求11所述的系统,其中,所述网络容量管理装置还包括:
    统计装置,被配置为统计预设时间段或预设超限判断次数中,容量资源未超限数目与超限数目、各所述容量资源的未超限数目与超限数目的占比关系、各所述容量资源的扩容信息中的至少一种。
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111385821A (zh) * 2018-12-29 2020-07-07 北京亿阳信通科技有限公司 一种lte载波需求数量预测的方法和装置
CN111814848A (zh) * 2020-06-22 2020-10-23 浙江大学 一种风电机组温度故障的自适应预警策略设计方法
CN113596853A (zh) * 2021-07-06 2021-11-02 南京嘉环科技股份有限公司 网络扩容的评估方法及其装置和网络的扩容方法及其装置
CN113891361A (zh) * 2021-10-12 2022-01-04 中国联合网络通信集团有限公司 一种网络扩容方法及装置
CN114189904A (zh) * 2021-12-20 2022-03-15 浪潮通信信息系统有限公司 一种lte载频资源调度方法及装置

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108770017B (zh) * 2018-05-23 2023-04-07 南京欣网通信科技股份有限公司 一种无线资源动态均衡方法及系统
CN109862590B (zh) * 2019-03-26 2022-03-15 中国联合网络通信集团有限公司 网络容量评估方法及装置
CN113132132B (zh) * 2019-12-30 2022-03-04 华为技术有限公司 一种切片控制方法及装置
CN112601245B (zh) * 2020-12-03 2023-04-07 中国移动通信集团内蒙古有限公司 长期演进区域容量资源利用情况评价方法及装置

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101137199A (zh) * 2006-08-28 2008-03-05 大唐移动通信设备有限公司 拥塞控制方法、系统及移动通信网络
CN101179773A (zh) * 2007-12-05 2008-05-14 中兴通讯股份有限公司 拥塞严重程度上报方法
CN102857376A (zh) * 2008-07-03 2013-01-02 中兴通讯股份有限公司 分层无线接入系统的网络管理方法
US20130107734A1 (en) * 2011-10-28 2013-05-02 Fujitsu Limited Communication apparatus, communication system and communication method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101137199A (zh) * 2006-08-28 2008-03-05 大唐移动通信设备有限公司 拥塞控制方法、系统及移动通信网络
CN101179773A (zh) * 2007-12-05 2008-05-14 中兴通讯股份有限公司 拥塞严重程度上报方法
CN102857376A (zh) * 2008-07-03 2013-01-02 中兴通讯股份有限公司 分层无线接入系统的网络管理方法
US20130107734A1 (en) * 2011-10-28 2013-05-02 Fujitsu Limited Communication apparatus, communication system and communication method

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111385821A (zh) * 2018-12-29 2020-07-07 北京亿阳信通科技有限公司 一种lte载波需求数量预测的方法和装置
CN111385821B (zh) * 2018-12-29 2024-03-22 北京亿阳信通科技有限公司 一种lte载波需求数量预测的方法和装置
CN111814848A (zh) * 2020-06-22 2020-10-23 浙江大学 一种风电机组温度故障的自适应预警策略设计方法
CN111814848B (zh) * 2020-06-22 2024-04-09 浙江大学 一种风电机组温度故障的自适应预警策略设计方法
CN113596853A (zh) * 2021-07-06 2021-11-02 南京嘉环科技股份有限公司 网络扩容的评估方法及其装置和网络的扩容方法及其装置
CN113891361A (zh) * 2021-10-12 2022-01-04 中国联合网络通信集团有限公司 一种网络扩容方法及装置
CN113891361B (zh) * 2021-10-12 2023-05-16 中国联合网络通信集团有限公司 一种网络扩容方法及装置
CN114189904A (zh) * 2021-12-20 2022-03-15 浪潮通信信息系统有限公司 一种lte载频资源调度方法及装置

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