CN113923677A - Network utilization rate calculation method and device - Google Patents

Abstract

The application discloses a method and a device for calculating a network utilization rate, which relate to the field of networks. The method is applied to calculating the network utilization rate and comprises the following steps: the network management device predicts a target parameter when a cell reaches a theoretical flow using cell history data of a plurality of cells of the network. And the network management equipment acquires theoretical flow based on the target parameters. The network management device determines at least one of a cell network utilization rate of the target cell and a network utilization rate of the network based on the theoretical flow.

Description

Network utilization rate calculation method and device

Technical Field

The present application relates to the field of communications technologies, and in particular, to a method and an apparatus for calculating a network utilization.

Background

With the development of the fifth Generation Mobile Communication Technology (5G) network, more and more cells are covered by the 5G wireless network. Because the network utilization rate can reflect the load condition of the network, the operator can adjust the 5G facilities of the cell according to the network utilization rate of the 5G network of the cell.

In the prior art, when calculating the network utilization, the 5G network only performs calculation based on the maximum network capacity, that is, based on a Physical Resource Block (PRB) with a full bandwidth and the maximum number of configuration layers, but in an actual network scenario, due to factors such as the geographic environment of a cell, the actual distribution of users, and the occurrence time of a service, the actual capacity of the cell is dynamically changed. If the network utilization rate is calculated only according to the maximum capacity of the network, the calculation result is possibly too low, the load condition of the network cannot be truly and effectively reflected, and the reference value is lost. For example, if a cell is in a plain area, even if a Multi-User Multiple-Input Multiple-Output (MU-MIMO) mode is turned on, the maximum scheduling layer number of the cell can only reach 2 layers, and if the network utilization rate is calculated by using the maximum configuration layer number (16 layers), the maximum network utilization rate of the cell is only 12.5% even if all PRB resources are fully used.

Disclosure of Invention

The application provides a network utilization rate calculation method and device, which are applied to the field of networks and used for solving the problems of inaccurate network utilization and lack of reference value.

In order to achieve the purpose, the technical scheme is as follows:

in a first aspect, the present application provides a method for calculating a network utilization, where the method includes:

the network management device predicts a target parameter when a cell reaches a theoretical flow using cell history data of a plurality of cells of the network. The theoretical flow is the maximum stable flow reached after the cell starts a multi-user multi-input multi-output MU-MIMO mode, and the target parameters include: the physical resource block PRB utilization rate, the efficiency corresponding to the channel quality index CQI and the large packet duration are in proportion, and the large packet is a data packet occupying the PRB. And the network management equipment acquires theoretical flow based on the target parameters. The network management device determines at least one of a cell network utilization rate of the target cell and a network utilization rate of the network based on the theoretical flow. Wherein the plurality of cells includes a target cell.

In a possible implementation manner, when the target parameter includes PRB utilization, the cell history data includes: and a plurality of PRB utilization rates of a plurality of cells in a preset time period and single user perception rates corresponding to the plurality of PRB utilization rates respectively. Or when the target parameter includes the CQI correspondence efficiency, the cell history data includes: CQI information of a plurality of cells and flow of the plurality of cells in a preset time period. Or when the target parameter comprises a large packet duration ratio, the cell history data comprises: a big packet Transmission Time Interval (TTI) duration and a tail packet removal (TTI) duration.

In one possible implementation, obtaining the theoretical flow based on the target parameter includes: and the network management equipment determines the number of actually used REs when the cell reaches the theoretical flow based on the PRB utilization rate. And the network management equipment determines the actually used bit number when the cell reaches the theoretical flow based on the actually used RE number and the efficiency corresponding to the CQI. And the network management equipment determines the theoretical flow when the cell uses the single-user multi-input multi-output SU-MIMO mode based on the actually used bit number and the large packet time length ratio. And the network management equipment calculates the theoretical flow when the cell uses the MU-MIMO mode based on the theoretical flow when the SU-MIMO mode is used and the gain coefficient. The gain coefficient is used for representing the gain of the flow after the cell opens the MU-MIMO mode compared with the flow after the cell opens the SU-MIMO mode.

In one possible implementation, determining the cell network utilization of the target cell based on the theoretical flow includes: and the network management equipment obtains the downlink flow utilization rate of the target cell based on the downlink theoretical flow of the target cell. And the network management equipment obtains the uplink flow utilization rate of the target cell based on the uplink theoretical flow of the target cell. The network management equipment determines the cell network utilization rate of the target cell based on the downlink flow utilization rate of the target cell and the uplink flow utilization rate of the target cell.

In one possible implementation, determining the network utilization of the network based on the theoretical traffic includes: the network management equipment obtains the utilization rate of the downlink traffic of the network based on the downlink theoretical traffic of a plurality of cells. The network management equipment obtains the utilization rate of the uplink flow of the network based on the uplink theoretical flows of the plurality of cells. The network management equipment determines the network utilization rate of the network based on the downlink traffic utilization rate of the network and the uplink traffic utilization rate of the network.

The method and the device for acquiring the network utilization rate of the target cell based on the historical data acquire the theoretical flow based on the historical data, and acquire the network utilization rate of the target cell and the network utilization rate of the network where the target cell is located based on the theoretical flow, so that the acquired results of the network utilization rate of the target cell and the network utilization rate of the network where the target cell is located have practical significance and are irrelevant to influence factors of an actual using process. The network utilization rate calculated by the scheme is not influenced by factors such as the geographic environment of the cell, the actual distribution of users, the service occurrence time and the like, so the accuracy of the calculation result is high. The load condition of the network can be truly and effectively reflected, and the method has reference value.

In a second aspect, the present application provides a network management device, including:

and the prediction module is used for predicting the target parameters when the cell reaches the theoretical flow by using the cell historical data of a plurality of cells of the network. The theoretical flow is the maximum flow reached by the cell after the multi-user multi-input multi-output MU-MIMO mode is started, and the target parameters comprise: the physical resource block PRB utilization rate, the efficiency corresponding to the channel quality index CQI and the large packet duration are in proportion, and the large packet is a data packet occupying the PRB. And the acquisition module is used for acquiring the theoretical flow based on the target parameters. A determining module for determining at least one of a cell network utilization of the target cell and a network utilization of the network based on the theoretical flow.

In a possible implementation manner, when the target parameter includes PRB utilization, the cell history data includes: and a plurality of PRB utilization rates of a plurality of cells in a preset time period and single user perception rates corresponding to the plurality of PRB utilization rates respectively. Or when the target parameter includes the CQI correspondence efficiency, the cell history data includes: CQI information of a plurality of cells and flow of the plurality of cells in a preset time period. Or when the target parameter comprises a large packet duration ratio, the cell history data comprises: a big packet Transmission Time Interval (TTI) duration and a tail packet removal (TTI) duration.

In a possible implementation manner, the obtaining module is specifically configured to: and determining the number of actually used REs when the cell reaches the theoretical flow based on the PRB utilization rate.

And determining the number of bits actually used when the target cell reaches the theoretical flow based on the number of the REs actually used and the efficiency corresponding to the CQI. And determining the theoretical flow of the target cell when the target cell uses the single-user MIMO mode based on the actually used bit number and the ratio of the large packet time length. And calculating the theoretical flow of the target cell when the MU-MIMO mode is used based on the theoretical flow of the SU-MIMO mode and the gain coefficient. The gain coefficient is used for representing the gain of the flow of the target cell after the MU-MIMO mode is started compared with the flow of the target cell after the SU-MIMO mode is started.

In one possible implementation, the determining unit is specifically configured to: and acquiring the downlink flow utilization rate of the target cell based on the downlink theoretical flow of the target cell. And obtaining the uplink flow utilization rate of the target cell based on the uplink theoretical flow of the target cell.

And determining the cell network utilization rate of the target cell based on the downlink flow utilization rate of the target cell and the uplink flow utilization rate of the target cell. And/or the determining unit is specifically configured to: and acquiring the utilization rate of the downlink traffic of the network based on the downlink theoretical traffic of all cells in the network. And obtaining the utilization rate of the uplink flow of the network based on the uplink theoretical flows of all cells in the network. And determining the network utilization rate of the network based on the downlink traffic utilization rate of the network and the uplink traffic utilization rate of the network.

In a third aspect, a network management device is provided, including: the functional units for executing any one of the methods provided by the first aspect, wherein the actions performed by the respective functional units are implemented by hardware or by hardware executing corresponding software. For example, the network management device may include: the device comprises a prediction module, an acquisition module and a determination module. The prediction module is used for predicting target parameters when the cell reaches theoretical flow by using cell historical data of a plurality of cells of the network. The theoretical flow is the maximum flow reached by the cell after the multi-user multi-input multi-output MU-MIMO mode is started, and the target parameters comprise: the physical resource block PRB utilization rate, the efficiency corresponding to the channel quality index CQI and the large packet duration are in proportion, and the large packet is a data packet occupying the PRB. And the acquisition module is used for acquiring the theoretical flow based on the target parameters. A determining module for determining at least one of a cell network utilization of the target cell and a network utilization of the network based on the theoretical flow.

In a fourth aspect, a network management device is provided, including: a processor and a memory. The processor is connected with the memory, the memory is used for storing computer execution instructions, and the processor executes the computer execution instructions stored by the memory, so as to realize any one of the methods provided by the first aspect.

For technical effects brought by any implementation manner of the second aspect to the fourth aspect, reference may be made to technical effects brought by a corresponding implementation manner in the first aspect, and details are not described here.

Drawings

FIG. 1 provides a flow chart of a method for a network management device to obtain network utilization;

FIG. 2 provides a block diagram of a network management device;

fig. 3 provides a block diagram of a network management device.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

In the description of this application, "/" means "or" unless otherwise stated, for example, A/B may mean A or B. "and/or" herein is merely an association describing an associated object, and means that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. Further, "at least one" means one or more, "a plurality" means two or more. The terms "first", "second", and the like do not necessarily limit the number and execution order, and the terms "first", "second", and the like do not necessarily limit the difference.

The application provides a network utilization rate calculation method which is applied to network management equipment.

The embodiments of the present application will be described in detail below with reference to the drawings of the specification, as shown in fig. 1:

s101, the network management equipment predicts target parameters when the cell reaches theoretical flow by using cell historical data of a plurality of cells of a network where the target cell is located.

Optionally, the cell history data of the network where the target cell is located may be history data generated when a plurality of cells (e.g., all cells) of the network where the target cell is located use a 5G network, and/or history data generated when the plurality of cells use a 4G network. Of course, the embodiments of the present application do not exclude the historical data generated when the plurality of cells use networks of other network systems (e.g., 3G networks or 6G networks).

The theoretical flow is the maximum stable flow reached by the target cell after the MU-MIMO mode is started. Wherein, the maximum stable flow rate refers to the maximum flow rate with the duration exceeding the threshold value. For example, if the target cell has a flow rate of 20 minutes as flow rate a, a flow rate of 79 minutes is less than flow rate a, a flow rate of 1 minute is greater than flow rate a, and the threshold value is 15 minutes, then a is taken as the maximum stable flow rate.

The theoretical flow rate includes at least one of an uplink theoretical flow rate and a downlink theoretical flow rate.

The target parameters include: physical Resource Block (PRB) utilization, Channel Quality Indicator (CQI) efficiency, and large packet length ratio. The following CQI Efficiency is expressed in Efficiency.

When the theoretical flow comprises an uplink theoretical flow, the target parameters comprise an uplink PRB utilization rate, an uplink Efficiency and an uplink big packet time length ratio.

When the theoretical flow comprises a downlink theoretical flow, the target parameters comprise a downlink PRB utilization rate, a downlink Efficiency and a downlink big packet time length ratio. How to obtain each target parameter is described below:

1) PRB utilization ratio

When the target parameter includes the PRB utilization, the cell history data includes: the method comprises the following steps of obtaining a plurality of PRB utilization rates of a plurality of cells and a plurality of single-user perception rates corresponding to the plurality of PRB utilization rates. Wherein the plurality of cells includes a target cell. Illustratively, cells are in one-to-one correspondence with PRB utilization.

When the network management equipment calculates the utilization rate of the downlink PRB when the target cell reaches the downlink theoretical flow, the used cell historical data comprises: the method comprises the following steps of obtaining a plurality of downlink PRB utilization rates of a plurality of cells and a downlink single-user perception rate corresponding to each downlink PRB utilization rate.

Specifically, the network management device may use the downlink PRB utilization rate as a horizontal axis and the downlink single-user sensing rate as a vertical axis to establish a coordinate system, use one downlink PRB utilization rate and the downlink single-user sensing rate corresponding to the downlink PRB utilization rate as one sample, use multiple samples to perform point scattering, and perform data fitting based on the sample points to obtain a curve representing a corresponding relationship between the downlink PRB utilization rate and the downlink single-user sensing rate. And determining that the downlink PRB utilization rate when the target cell reaches the downlink theoretical flow is the downlink PRB utilization rate corresponding to the downlink single-user perception rate threshold accepted by the operator based on the curve.

The threshold of the perception rate of the downlink single user, which can be accepted by an operator, is a value of the perception rate of the downlink single user when the utilization rate of the downlink PRB in the curve has an inflection point. Before the inflection point, the value of the utilization rate of the downlink PRB is increased along with the increase of the value of the perception rate of the downlink single user; after the inflection point, the value of the utilization rate of the downlink PRB is reduced along with the increase of the value of the perception rate of the downlink single user.

Similarly, when the network management device calculates the uplink PRB utilization rate when the target cell reaches the uplink theoretical traffic, the used cell history data includes: the method comprises the following steps of obtaining a plurality of uplink PRB utilization rates of a plurality of cells and an uplink single-user perception rate corresponding to each uplink PRB utilization rate. The specific implementation manner of the method may refer to the above calculation method for calculating the downlink PRB utilization when the target cell reaches the downlink theoretical traffic in the network where the target cell is located, and details are not repeated here.

It should be noted that the network mode of the cell includes MU-MIMO mode and Single-User Multiple-input Multiple-Output (SU-MIMO). Hereinafter, MU-MIMO cell is used to refer to a cell for turning on MU-MIMO mode, and SU-MIMO cell is used to refer to a cell for turning on SU-MIMO mode. In the process that the network management equipment calculates the downlink/uplink PRB utilization rate when the target cell reaches the downlink/uplink theoretical flow, the used cell historical data, specifically the cell historical data generated when the plurality of cells all adopt the SU-MIMO mode, is used. That is, the plurality of cells are all SU-MIMO cells.

In other words, for any cell, the PRB utilization when the cell reaches the theoretical traffic includes: the downlink PRB utilization rate when the cell reaches the downlink theoretical flow when the cell is an SU-MIMO cell, and the uplink PRB utilization rate when the cell reaches the uplink theoretical flow when the cell is an SU-MIMO cell.

The network management equipment obtains the PRB utilization rate when the target cell reaches the theoretical flow by carrying out statistical analysis on the plurality of PRB utilization rates in the cell historical data. The PRB utilization rate of the target cell reaching the theoretical flow obtained by the method is more accurate in calculation result and can better fit the actual operation condition of the network compared with the method of directly calculating the network utilization rate based on the full-bandwidth PRB when the network utilization rate is calculated by using the PRB utilization rate subsequently.

2)、Efficiency

When the target parameter includes Efficiency, the cell history data includes: in a preset time period, the network management equipment reports the CQI information of a plurality of cells and the traffic (i.e., the actually used traffic) of the plurality of cells by RANK.

The network management equipment reports CQI information of a plurality of cells by RANK, wherein the CQI information comprises a plurality of pieces of CQI information of each cell in different time periods, and the flow of the cell is the actual use flow of the cell when the CQI information of the cell is reported. The method for acquiring the downlink Efficiency when the target cell reaches the downlink theoretical flow by the network management equipment includes:

firstly, the network management equipment reports CQI information of a plurality of cells according to RANK reported by the network management equipment in a preset time period, and calculates downlink average Efficiency when each cell in the plurality of cells reaches downlink theoretical flow.

In one possible implementation, the network management device may obtain the downlink average based on the following formula

It should be noted that, in the 5G network, the third Generation Partnership Project (3rd Generation Partnership Project, 3GPP) defines 3 CQI tables, where CQI Table1 corresponds to network turn on 64QAM, CQI Table2 corresponds to network turn on 256QAM, and CQI Table3 corresponds to network turn on high-reliability and Low Latency Communications (URLLC). In the formula, i is RANK level, and in each CQI Table, efficiency corresponding to j in the formula is as follows:

table 1:

table 2:

table 3:

then, the network management device calculates the downlink average traffic when the target cell reaches the downlink theoretical traffic based on the downlink average traffic when the plurality of cells reach the downlink traffic and the downlink traffic of the plurality of cells.

Specifically, a coordinate system is established by taking the downlink average Efficiency as a horizontal axis and the distribution probability of the downlink average Efficiency as a vertical axis, one downlink average Efficiency as the horizontal axis and the corresponding distribution probability of the downlink average Efficiency are taken as one sample, a plurality of samples are used for point scattering, and data fitting is performed based on the sample points to obtain a curve representing the corresponding relationship between the distribution probabilities of the downlink average Efficiency and the downlink average Efficiency. Based on the curve, a downlink Efficiency value (hereinafter, marked as a) with the highest distribution probability is obtained.

For any cell, when the cell reaches the downlink theoretical flow, the load lifting will bring about the increase of the background noise, and at this time, the downlink offset of the cell will decrease. Therefore, the downstream offset used in calculating the theoretical flow needs to be converted.

In a possible implementation manner, cells with downlink flow greater than or equal to a first downlink preset flow are screened from the plurality of cells, and an average downlink Efficiency value of the cells is calculated and is denoted by B; and screening the cells with the downlink flow less than or equal to a second downlink preset flow from the plurality of cells, and calculating the average downlink Efficiency value of the cells as C, wherein the conversion probability is B/C. In this case, the value of downlink offset when the target cell reaches the downlink theoretical traffic is a × (B/C).

Similarly, the network management equipment acquiring the uplink Efficiency when the target cell reaches the uplink theoretical flow comprises the steps that the network management equipment reports CQI information of a plurality of cells according to RANK of the network management equipment in a preset time period, and calculates the uplink average Efficiency when each cell in the plurality of cells reaches the uplink theoretical flow.

Different from the calculation of the average downlink traffic when each cell in the plurality of cells reaches the theoretical downlink traffic, the uplink commercial terminal is mainly a 1T terminal or a 2T terminal, so that the RANK condition does not need to be considered.

Specifically, a coordinate system is established by taking the upper average Efficiency as a horizontal axis and the distribution probability of the upper average Efficiency as a vertical axis, one upper average Efficiency as the horizontal axis and the corresponding distribution probability of the upper average Efficiency are taken as one sample, a plurality of samples are used for point scattering, and data fitting is performed based on the sample points to obtain a curve representing the corresponding relationship between the distribution probabilities of the upper average Efficiency and the upper average Efficiency. Based on the curve, an uplink Efficiency value (marked as a above) with the highest distribution probability is obtained.

For any cell, when the cell reaches the uplink theoretical flow, the load lifting will bring about the increase of the background noise, and at the moment, the uplink offset will decrease. Therefore, the upstream offset used in calculating the theoretical flow needs to be converted.

In a possible implementation manner, cells with uplink flow greater than or equal to a first uplink preset flow are screened from the plurality of cells, and an average uplink Efficiency value of the cells is calculated and is denoted by B; and screening the cells with the uplink flow less than or equal to a second uplink preset flow from the plurality of cells, and calculating the average uplink Efficiency value of the cells, which is denoted by C. The reduced probability is B/C. Therefore, the value of the uplink Efficiency when the target cell reaches the uplink theoretical flow is A (B/C).

It should be noted that the first downlink preset traffic, the second downlink preset traffic, the first uplink preset traffic, and the second uplink preset traffic are all preset values that are customized by the operator according to the service requirement of the operator.

The Efficiency obtained by calculating the historical data and performing noise reduction is more suitable for the actual use condition. The parameter used for calculating the theoretical flow ensures that the calculation result is more accurate and has reference value.

Note that the Efficiency includes: and the downlink offset when the SU-MIMO cell reaches the downlink theoretical flow and the uplink offset when the SU-MIMO cell reaches the uplink theoretical flow.

3) Time of big bag is compared

When the target parameter comprises a large packet time ratio, the cell historical data comprises: a large packet Transmission Time Interval (TTI) duration, a tail-packet TTI duration.

In the data transmission process, the data occupies PRB resources and does not occupy PRB resources, where a data packet with full PRB resources is called a big packet and a data packet without full PRB resources is called a small packet. Because the small packet cannot occupy all PRB resources when transmitting data and the occupation conditions of the PRBs when transmitting different data have great difference, the method and the device can ignore the time occupation ratio of the small packet in the range of accuracy allowance, only consider the time occupation ratio of the large packet using all PRB resources, and predict the network utilization rate.

In specific implementation, because the current 5G users are relatively few and many cells are performing drive tests, the network management device can predict the downlink big packet duration ratio when the target cell reaches the downlink theoretical flow by using the cell historical data in the 4G network. Under the condition, a coordinate system is established by taking the time length ratio of the downlink big packets of the plurality of cells in the cell historical data as a horizontal axis and the distribution probability of the time length ratio of the downlink big packets of the plurality of cells in the cell historical data as a vertical axis, the time length ratio distribution probability of the downlink big packets corresponding to the time length ratio of the downlink big packets of the plurality of cells in the cell historical data is taken as a sample, the plurality of samples are used for scattering, data fitting is carried out based on the sample points to obtain a corresponding relation curve representing the time length ratio of the downlink big packets and the time length ratio distribution probability of the downlink big packets, and the time length ratio of the downlink big packets when the target cell reaches the downlink theoretical flow is obtained based on the curve.

Similarly, the network management device obtains the uplink big packet time ratio when the target cell reaches the uplink theoretical flow. The historical data includes: the TTI duration of the uplink big packet and the TTI duration of the uplink tail packet.

In specific implementation, because the current 5G users are relatively few and many cells are performing drive tests, the network management device can predict the uplink big packet duration ratio when the target cell reaches the uplink theoretical flow by using the cell historical data in the 4G network. Under the condition, a coordinate system is established by taking the uplink big packet time length ratio of a plurality of cells in cell historical data as a horizontal axis and the distribution probability of the uplink big packet time length ratio of the plurality of cells in the cell historical data as a vertical axis, the uplink big packet time length ratio distribution probability corresponding to the uplink big packet time length ratio of the plurality of cells in the cell historical data is taken as a sample, a plurality of samples are used for carrying out point scattering, data fitting is carried out based on the sample points to obtain a corresponding relation curve representing the uplink big packet time length ratio and the uplink big packet time length ratio distribution probability, and the uplink big packet time length ratio when the target cell reaches the uplink theoretical flow is obtained based on the curve.

It should be noted that the packet duration ratio includes: and the ratio of the downlink big packet time length when the SU-MIMO cell reaches the downlink theoretical flow to the uplink big packet time length when the SU-MIMO cell reaches the uplink theoretical flow.

S102, the network management equipment obtains theoretical flow based on target parameters, namely the maximum stable flow reached by the target cell after starting an MU-MIMO mode.

It will be appreciated that the theoretical traffic for each cell in the network is the same. The following description will be given taking the calculation of the theoretical traffic of any cell as an example.

Optionally, S102 may include the following S102A-S102B:

S102A: and the network management equipment calculates the theoretical flow of the SU-MIMO cell.

The theoretical flow of the SU-MIMO cell comprises the downlink theoretical flow of the SU-MIMO cell and the uplink theoretical flow of the SU-MIMO cell, and the method for calculating the downlink theoretical flow of the SU-MIMO cell is the same as the method for calculating the uplink theoretical flow of the SU-MIMO cell.

Taking the calculation of the SU-MIMO cell downlink theoretical traffic as an example, the calculation of the SU-MIMO cell downlink theoretical traffic may include the following steps:

firstly, the number of actually used REs when the target cell reaches the downlink theoretical traffic is determined based on the PRB utilization rate when the target cell reaches the downlink traffic. For example, the number of all actually used REs is determined from the calculated PRB utilization, the product of the total number of PRBs available during actual operation and the total number of data REs included in the RB. The concrete formula is as follows: the number of all REs actually used (downlink PRB utilization rate + total number of downlink PRBs available) (total number of data REs included in RB).

And then, based on the number of actually used REs and the efficiency corresponding to the CQI when the target cell reaches the downlink flow, determining the number of actually used bits when the target cell reaches the downlink theoretical flow. For example, the average number of bits actually used is obtained by multiplying the number of all the REs actually used by the CQI-dependent offset. At this time, the actually used average bit number corresponding to the physical layer is obtained. The concrete formula is as follows: the actual average number of bits used is the actual number of all REs used.

And then, determining the downlink theoretical flow when the target cell uses the SU-MIMO mode based on the actually used bit number and the ratio of the large packet duration when the target cell reaches the downlink flow. For example, the physical layer traffic is converted into RLC layer traffic by using the calculated average number of bits and the actual overhead obtained by subtracting the overhead of the downlink packet header. Since the physical layer transition to the RLC layer will have the header occupying traffic, the transition from the physical layer to the RLC layer traffic requires the header occupying traffic to be subtracted. The specific formula can be: the downlink theoretical flow is the actually used bit number (1-downlink packet header overhead) and the downlink big packet duration is in proportion to the downlink time slot.

It should be noted that, because the small packet time length ratio cannot occupy all the resources of the PRB, only the large packet time length ratio flow is calculated, and the flow converted into the RLC layer needs to be multiplied by the large packet time length ratio to obtain the flow ignoring the small packet time length. Because the network does not continuously carry out uplink or downlink transmission, the theoretical flow under the SU-MIMO mode can be obtained by neglecting the product of the duration flow of the packet and the corresponding time slot ratio.

In summary, the downlink theoretical flow of the SU-MIMO cell is labeled as SU-Throughput 1. The Throughput1 is a ratio of (downlink PRB utilization rate, total number of available PRBs in downlink) (total number of data REs contained in RB), downlink Efficiency (1-downlink header overhead), and downlink large packet duration to downlink time slot.

And marking the uplink theoretical flow of the SU-MIMO cell as SU-Throughput 2. The Throughput2 is the ratio of the uplink PRB utilization rate to the total number of available uplink PRBs (total number of data REs contained in RB) to the uplink Efficiency (1-uplink header overhead) to the uplink large packet duration to the uplink timeslot.

Optionally, the calculated SU-MIMO cell downlink theoretical flow and SU-MIMO cell uplink theoretical flow may be further converted by unit according to actual requirements.

S102B: and the network management equipment calculates the theoretical flow of the MU-MIMO cell.

Wherein, the theoretical flow of the MU-MIMO cell comprises: MU-MIMO cell downlink theoretical flow and MU-MIMO cell uplink theoretical flow.

After the SU-MIMO mode is changed into the MU-MIMO mode, the theoretical flow is increased, the network management equipment acquires the actual use flow of historical data of SU-MIMO cells in a management network, the actual use flow of the cells exceeding the preset flow value is selected according to the self condition of an operator, and the average value of the actual use flow of the cells exceeding the preset flow is the actual use flow obtained before the MU-MIMO mode is started. The network management equipment acquires MU-MIMO cell data in a management network thereof, selects the actual use flow of the cell exceeding the preset flow value according to the self condition of an operator, and the average value of the actual use flow of the cell exceeding the preset flow is the actual use flow after the MU-MIMO is started. The quotient of the actual use flow after the MU-MIMO is started and the actual use flow before the MU-MIMO is started is the flow gain coefficient after the MU-MIMO is started. And the product of the theoretical flow of the SU-MIMO cell and the gain coefficient is the theoretical flow in the MU-MIMO mode.

The specific steps of calculating the uplink and downlink theoretical flow of the target cell after the MU-MIMO is started are as follows:

the downlink theoretical flow of the MU-MIMO cell is denoted by Throughput1, and Throughput1 is SU-Throughput1 is the downlink MU-MIMO flow gain coefficient. And acquiring historical data of the SU-MIMO cell. And screening out the cells with the downlink flow greater than or equal to the third downlink preset flow, and obtaining the downlink average flow of the cells, which is indicated by A. And acquiring MU-MIMO cell historical data. And screening out the cells with the downlink flow greater than or equal to the third downlink preset flow, and obtaining the downlink average flow of the cells, which is indicated by B. B/A is the gain coefficient of the downlink MU-MIMO flow. And the product of the SU-MIMO cell downlink theoretical flow and the downlink MU-MIMO flow gain coefficient is the calculated MU-MIMO cell downlink theoretical flow. I.e. Throughput1 ═ SU-Throughput1 × B/a.

The theoretical uplink flow of the MU-MIMO cell is denoted by Throughput2, and Throughput2 is SU-Throughput2 is the gain coefficient of uplink MU-MIMO flow. And acquiring historical data of the SU-MIMO cell. And screening out the cells with the uplink flow greater than or equal to the third uplink preset flow, and obtaining the uplink average flow of the cells, which is indicated by C. And acquiring MU-MIMO cell historical data. And screening out the cells with the uplink flow more than or equal to the third uplink preset flow, and obtaining the uplink average flow of the cells, which is indicated by D. And C/D is the uplink MU-MIMO flow gain coefficient. And the product of the uplink theoretical flow of the SU-MIMO cell and the uplink MU-MIMO flow gain coefficient is the calculated uplink theoretical flow of the MU-MIMO cell. I.e. Throughput2 ═ SU-Throughput2 × C/D.

And the third downlink preset flow and the third uplink preset flow are preset values defined by the operator according to the service requirement of the operator.

And S103, determining the network utilization rate based on the theoretical flow.

Wherein, the network utilization includes: at least one of a cell network utilization of the target cell and a network utilization of a network in which the target cell is located.

When the network management device calculates the cell utilization of the target cell:

firstly, the network management equipment obtains the downlink traffic utilization rate of the target cell based on the downlink theoretical traffic of the target cell. For example, in a preset time, the quotient of the actually used downlink theoretical traffic of the target cell and the downlink theoretical traffic of the target cell calculated by the present application is the downlink traffic utilization rate of the target cell.

The concrete formula is as follows:

and secondly, the network management equipment obtains the uplink flow utilization rate of the target cell based on the uplink theoretical flow of the target cell. For example, in a preset time, the quotient of the actually used uplink theoretical traffic of the target cell and the theoretical traffic calculated by the present application is the uplink traffic utilization rate.

The concrete formula is as follows:

then, the network management device determines the cell network utilization rate of the target cell based on the downlink traffic utilization rate of the target cell and the uplink traffic utilization rate of the target cell. For example, the network management device obtains a maximum value of the downlink traffic utilization rate of the target cell and the uplink traffic utilization rate of the target cell, as the cell network utilization rate of the target cell.

When the network management equipment calculates the network utilization rate of the network where the target cell is located:

firstly, the network management equipment obtains the utilization rate of the downlink traffic of the network based on the downlink theoretical traffic of all cells in the network. For example, in a preset time period, the quotient of "the sum of actually used downlink flows of all cells in the network" and "the sum of theoretical flows of all cells in the network calculated by the present application" is the downlink network utilization rate of the network where the target cell is located.

The concrete formula is as follows:

secondly, the network management equipment obtains the utilization rate of the uplink flow of the network based on the uplink theoretical flow of all cells in the network. For example, in a preset time period, the quotient of "the sum of the actually used uplink flows of all cells in the network" and "the sum of the theoretical flows of all cells in the network calculated by the present application" is the uplink network utilization rate of the network where the target cell is located.

The concrete formula is as follows:

then, the network management device obtains the maximum value of the downlink traffic utilization rate of all cells in the network and the uplink traffic utilization rate of all cells in the network, and the maximum value is used as the network utilization rate of the network.

Specific examples of calculating network utilization are shown below with reference to specific data.

It is assumed that the acceptable downlink single-user perceived rate threshold X1 is 100Mbps, and the acceptable uplink single-user perceived rate threshold X2 is 10 Mbps.

The network management equipment extracts a plurality of downlink PRB utilization rates of a cell in a preset time period, a downlink single-user perception rate corresponding to the plurality of downlink PRB utilization rates respectively, a plurality of uplink PRB utilization rates of the cell and an uplink single-user perception rate corresponding to the plurality of uplink PRB utilization rates respectively from historical data of the plurality of cells in a management network. The method comprises the steps of establishing a coordinate system by taking a downlink PRB utilization rate as a horizontal axis and a downlink single-user perception rate as a vertical axis, taking a downlink PRB utilization rate and a downlink single-user perception rate corresponding to the downlink PRB utilization rate as a sample, using a plurality of samples to perform point scattering, and performing data fitting based on the sample points to obtain a curve representing the corresponding relation between the downlink PRB utilization rate and the downlink single-user perception rate. Based on the curve, the utilization ratio value Y1 of the downlink PRB when the corresponding theoretical downlink flow is reached is 50% when the perception rate of the target cell downlink single user is 100 Mbps. Correspondingly, the network management device may obtain the value Y2 of the uplink PRB utilization when the uplink theoretical traffic is reached, which corresponds to the target cell uplink single user perceived rate of 10Mbps, as 50%.

The network management equipment extracts CQI information of a plurality of cells reported by the cell network management equipment in a random in a statistical time period from historical data of the cells in the management network and downlink flow of the plurality of cells. Establishing a coordinate system by taking the downlink average Efficiency as a horizontal axis and the distribution probability of the Efficiency as a vertical axis, taking one downlink average Efficiency as a horizontal axis and the corresponding distribution probability of the downlink average Efficiency as a sample, using a plurality of samples for point spreading, and performing data fitting based on the sample points to obtain a curve representing the corresponding relation between the corresponding distribution probabilities of the downlink average Efficiency and the downlink average Efficiency. Based on the curve, the Efficiency value Z2-1 with the highest distribution probability is 14.23. Screening cells with downlink traffic > being 40GByte, and calculating average Efficiency Z1-2 of the cells to be 13.2; and screening cells with the downlink traffic of 5GByte, and calculating the average Efficiency Z1-3 of the cells to 14.67. In this case, the conversion probability is 89.98 at 13.2/14.67, and the conversion probability is 90%. Therefore, when the target cell reaches the downlink theoretical traffic, the value of Efficiency is Z1-14.23-90-12.8. Similarly, the value of Efficiency when the target cell reaches the uplink theoretical flow is obtained as Z2-4.27.

The network management equipment extracts 4G cell historical data, including the TTI duration of a downlink big packet when the cell reaches the downlink theoretical flow and the TTI duration of a downlink tail packet when the cell reaches the downlink theoretical flow, and calculates to obtain the ratio of the cell downlink big packet duration. Establishing a coordinate system by taking the downlink big packet time length ratio as a horizontal axis and taking the distribution probability of the downlink big packet time length ratio as a vertical axis, taking the downlink big packet time length ratio distribution probability corresponding to the downlink big packet time length ratio as a sample, using a plurality of samples for point scattering, and performing data fitting based on the sample points to obtain a corresponding relation curve representing the downlink big packet time length ratio and the downlink big packet time length ratio distribution probability, wherein the downlink big packet time length ratio value T1 of the target cell reaching the downlink theoretical flow is 60% based on the curve. In the same way, the ratio of the uplink big packet time length when the target cell reaches the uplink theoretical flow is obtained, i.e., T2 is 60%.

In a 5G cell with a 30kHz subcarrier bandwidth, 1 RB has 12 carriers and 14 symbols, and considering that 2 symbols are DMRSs and do not transmit data, 1 RB includes 12 × 14-2 — 144 RBs.

According to the 3GPP protocol, the overhead of the header from the downlink physical layer to the downlink RLC layer is 14%, and the overhead of the header from the uplink physical layer to the uplink RLC layer is 8%.

The ratio of uplink time slots and downlink time slots of the NR cell of 3.5G is 3: 7, and 1 slot corresponds to 0.5 ms.

Then the theoretical downlink flow of the SU-MIMO cell for 1 hour under the bandwidth of 100M (273 × 50%). 144 × 12.8 × 60%. 7/10)/0.5 × 3600000/1024/1024/1024/8 ═ 76.17 Gbyte.

The theoretical uplink flow of the SU-MIMO cell is 1 hour (273 × 50%). 144 × 4.27 × (1-8%). 60%. 3/10)/0.5 × 3600000/1024/1024/1024/8 ═ 11.65Gbyte under the bandwidth of 100M.

And taking historical data of the SU-MIMO cell. Setting the preset flow rate as 40GByte, screening out the cell with the screening downlink flow rate > being 40GByte, and obtaining the downlink average flow rate Q1-1 being 50.6GByte of the cell. And taking MU-MIMO cell historical data. Setting the preset flow rate as 40GByte, screening out the cell with the downlink flow rate > -40 GByte, and obtaining the downlink average flow rate Q1-2 ═ 58.2 of the target cell. The downlink MU-MIMO traffic gain coefficient V1 is 58.2/50.6 is 1.15. The target cell theoretical downlink traffic Throughput1 ═ 76.17 × 1.15 ═ 87.6 GByte. In the same way, the theoretical uplink traffic through 2 of the target cell is 11.65 × 1.15 — 13.4 GByte.

Assuming that the downlink flow of a cell 1 is 2GByte and the uplink flow is 1GByte when the cell is busy; the downlink flow rate of the cell 2 is 30GByte and the uplink flow rate is 5GByte when the cell is busy; the downlink flow rate of the cell 3 is 100GByte and the uplink flow rate is 8GByte when the cell is busy; the downlink flow rate of the cell 4 is 50Gbyte when it is busy, and the uplink flow rate is 20 Gbyte. The utilization of several cells is as follows in table 4:

TABLE 4

Cell	Downstream traffic utilization	Utilization of upstream traffic	Flow utilization
				Cell 1	2.28％	7.46％	7.46％
Cell 2	34.2％	37.3％	37.3％
				Cell 3	114.16％	59.7％	114.16％
Cell 4	57.1％	149.25％	149.25％

If a network includes cell 1, cell 2, cell 3, and cell 4, the traffic utilization of this network is as follows:

TABLE 5

The present application further provides a network management device as shown in fig. 2:

the network management device 100 comprises a prediction module 1001, an acquisition module 1002 and a determination module 1003.

A prediction module 1001 configured to perform S101, predict a target parameter when a cell reaches a theoretical flow, using cell history data of a plurality of cells of a network;

an obtaining module 1002, configured to execute S102, and obtain a theoretical flow based on the target parameter;

a determining module 1003, configured to execute S103, determine at least one of a cell network utilization rate of the target cell and a network utilization rate of the network according to the theoretical flow.

In a hardware implementation, the network device may be implemented by a network device as shown in fig. 3. Fig. 3 is a schematic diagram of a hardware structure of a network management device 200 according to an embodiment of the present disclosure. The network management device 200 may be used to implement the functionality of the network device described above.

The network management apparatus 200 shown in fig. 3 may include: a processor 201, a memory 202, a communication interface 203, and a bus 204. The processor 201, memory 202 and communication interface 203 may be connected by a bus 204.

The processor 201 is a control center of the network management device 200, and may be a Central Processing Unit (CPU), another general-purpose processor, or the like. Wherein a general purpose processor may be a microprocessor or any conventional processor or the like.

By way of example, but not limitation, memory 202 may be a read-only memory (ROM) or other type of static storage device that may store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that may store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a magnetic disk storage medium or other magnetic storage device, or any other medium that may be used to carry or store desired program code in the form of instructions or data structures and that may be accessed by a computer.

In one possible implementation, the memory 202 may exist independently of the processor 201. A memory 202 may be coupled to the processor 201 via a bus 204 for storing data, instructions or program code. The processor 201 can implement the network utilization calculation method provided by the embodiment of the present application when calling and executing the instructions or program codes stored in the memory 202.

In another possible implementation, the memory 202 may also be integrated with the processor 201.

A communication interface 203, configured to connect the network management device 200 with other devices through a communication network, where the communication network may be an ethernet, a Radio Access Network (RAN), a Wireless Local Area Network (WLAN), or the like. The communication interface 203 may include a receiving unit for receiving data, and a transmitting unit for transmitting data.

The bus 204 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an extended ISA (enhanced industry standard architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 2, but it is not intended that there be only one bus or one type of bus.

It is noted that the configuration shown in fig. 2 does not constitute a limitation of the network management apparatus 200, and the network management apparatus 200 may include more or less components than those shown in fig. 2, or combine some components, or a different arrangement of components, in addition to the components shown in fig. 2.

It should be understood that, in the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented using a software program, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions described in accordance with the embodiments of the present application are all or partially generated upon loading and execution of computer program instructions on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optics, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or can comprise one or more data storage devices, such as a server, a data center, etc., that can be integrated with the medium. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. A method for calculating network utilization, the method comprising:

the network management equipment predicts target parameters when a cell reaches theoretical flow by using cell historical data of a plurality of cells of a network; the theoretical flow is the maximum stable flow reached after a cell starts a multi-user multiple-input multiple-output (MU-MIMO) mode, and the target parameters include: the method comprises the following steps that the ratio of the physical resource block PRB utilization rate, the efficiency corresponding to a channel quality index CQI and the large packet duration is obtained, wherein the large packet is a data packet occupying PRB;

the network management equipment acquires the theoretical flow based on the target parameter;

the network management equipment determines at least one of the cell network utilization rate of a target cell and the network utilization rate of the network based on the theoretical flow; wherein the plurality of cells includes the target cell.

2. The method of claim 1,

when the target parameter includes PRB utilization, the cell history data includes: a plurality of PRB utilization rates of the plurality of cells in a preset time period and single-user perception rates corresponding to the plurality of PRB utilization rates respectively;

or, when the target parameter includes CQI correspondence efficiency, the cell history data includes: CQI information of the plurality of cells and flow of the plurality of cells in a preset time period;

or when the target parameter includes a packet length ratio, the cell history data includes: a big packet Transmission Time Interval (TTI) duration and a tail packet removal (TTI) duration.

3. The method of claim 1, wherein the obtaining the theoretical flow based on the target parameter comprises:

the network management equipment determines the number of actually used REs when the cell reaches the theoretical flow based on the PRB utilization rate;

the network management equipment determines the number of bits actually used when the cell reaches the theoretical flow based on the number of the REs actually used and the efficiency corresponding to the CQI;

the network management equipment determines theoretical flow when a cell uses a single-user multi-input multi-output SU-MIMO mode based on the actually used bit number and the packet duration ratio;

the network management equipment calculates the theoretical flow of the cell in the MU-MIMO mode based on the theoretical flow of the SU-MIMO mode and the gain coefficient; and the gain coefficient is used for representing the gain of the flow after the cell opens the MU-MIMO mode compared with the flow after the cell opens the SU-MIMO mode.

4. The method according to any of claims 1 to 3, wherein the determining the cell network utilization of the target cell based on the theoretical traffic comprises:

the network management equipment obtains the downlink traffic utilization rate of the target cell based on the downlink theoretical traffic of the target cell;

the network management equipment obtains the uplink flow utilization rate of the target cell based on the uplink theoretical flow of the target cell;

and the network management equipment determines the cell network utilization rate of the target cell based on the downlink flow utilization rate of the target cell and the uplink flow utilization rate of the target cell.

5. The method of any of claims 1 to 3, wherein determining the network utilization of the network based on the theoretical traffic comprises:

the network management equipment obtains the downlink traffic utilization rate of the network based on the downlink theoretical traffic of the plurality of cells;

the network management equipment obtains the utilization rate of the uplink traffic of the network based on the uplink theoretical traffic of the plurality of cells;

the network management device determines a network utilization rate of the network based on a downlink traffic utilization rate of the network and an uplink traffic utilization rate of the network.

6. A network management device, characterized in that the network management device comprises:

the system comprises a prediction module, a flow calculation module and a flow calculation module, wherein the prediction module is used for predicting target parameters when a cell reaches theoretical flow by using cell historical data of a plurality of cells of a network; wherein the theoretical flow is a maximum flow reached by the cell after the MU-MIMO mode is started, and the target parameters include: the method comprises the following steps that the ratio of the physical resource block PRB utilization rate, the efficiency corresponding to a channel quality index CQI and the large packet duration is obtained, wherein the large packet is a data packet occupying PRB;

the acquisition module is used for acquiring the theoretical flow based on the target parameter;

a determining module configured to determine at least one of a cell network utilization of the target cell and a network utilization of the network based on the theoretical flow.

7. The network management device of claim 6,

when the target parameter includes PRB utilization, the cell history data includes: a plurality of PRB utilization rates of the plurality of cells in a preset time period and single-user perception rates corresponding to the plurality of PRB utilization rates respectively;

or, when the target parameter includes CQI correspondence efficiency, the cell history data includes: CQI information of the plurality of cells and flow of the plurality of cells in a preset time period;

or when the target parameter includes a packet length ratio, the cell history data includes: a big packet Transmission Time Interval (TTI) duration and a tail packet removal (TTI) duration.

8. The network management device of claim 6, wherein the obtaining module is specifically configured to:

determining the number of actually used REs when the cell reaches the theoretical flow based on the PRB utilization rate;

determining the number of bits actually used when the target cell reaches the theoretical flow based on the number of REs actually used and the efficiency corresponding to the CQI;

determining theoretical flow when the target cell uses a single-user multi-input multi-output SU-MIMO mode based on the actually used bit number and the ratio of the packet duration;

calculating theoretical flow of the target cell in the MU-MIMO mode based on the theoretical flow of the SU-MIMO mode and a gain coefficient; and the gain coefficient is used for representing the gain of the flow of the target cell after the MU-MIMO mode is started compared with the flow of the target cell after the SU-MIMO mode is started.

9. The network management device according to any one of claims 6 to 8, wherein the determining unit is specifically configured to:

acquiring the downlink traffic utilization rate of the target cell based on the downlink theoretical traffic of the target cell;

obtaining the uplink flow utilization rate of the target cell based on the uplink theoretical flow of the target cell;

determining a cell network utilization rate of the target cell based on the downlink traffic utilization rate of the target cell and the uplink traffic utilization rate of the target cell;

and/or the determining unit is specifically configured to:

acquiring the utilization rate of the downlink traffic of the network based on the downlink theoretical traffic of all cells in the network;

obtaining the utilization rate of the uplink flow of the network based on the uplink theoretical flow of all cells in the network;

determining a network utilization of the network based on a downlink traffic utilization of the network and an uplink traffic utilization of the network.

10. A network management device comprising a memory and a processor, the memory coupled to the processor; the memory is configured to store computer instructions that, when executed by the processor, cause the network management device to perform the method of any of claims 1-5.

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