CN115119249A - Network slice shared resource calculation method and device - Google Patents
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Abstract
The application discloses a method and a device for calculating shared resources of network slices, which are used for monitoring user access rates of various network slices in a designated area to obtain user access peak rates of various network slices in the last period; when entering the next time interval, calculating the speed drop of each network slice according to the user access peak speed of each type of network slice in the last time interval and the maximum speed of the corresponding network slice, and determining a first target slice and a second target slice which need to share resources; and calculating the resource sharing quantity according to the user access rate fluctuation ratio and the rate fall of the first target slice and the user access peak rate in the last period, and sharing the network resource with the second target slice according to the resource sharing quantity. The method and the device for calculating the shared resources of the network slices can improve the resource utilization rate, meet the resource requirements of various types of network slices and simultaneously ensure the performance stability of the various types of network slices.
Description
Technical Field
The present application relates to the field of network technologies, and in particular, to a method and an apparatus for computing a network slice shared resource.
Background
The network slice is a networking mode according to needs, an operator can separate a plurality of virtual end-to-end networks on a unified infrastructure, and each network slice is logically isolated from a wireless access network bearer network to a core network so as to adapt to various types of applications.
Network slices can be classified into different types according to different service scenarios. For example, an enhanced mobile broadband (eMBB) service scenario and an ultra reliable low latency communication (urrllc) service scenario defined in the 5G network technology field correspond to an eMBB network slice and a uRLLC network slice, respectively. Based on the slice division principle of the 5G network, more wireless, computing and storage resources are generally allocated to the eMBB network slice to meet the high-speed requirement of a user, and the URLLC network slice core network user plane is deployed to the BBU side to reduce the end-to-end communication delay and meet the requirements of the user on ultrahigh reliability and ultralow delay.
At present, the allocation situation of network slice resources is relatively fixed after planning and deployment are completed, and the resource allocation situation cannot be dynamically adjusted according to the actual needs of various types of network slices.
Disclosure of Invention
The application provides a method and a device for calculating shared resources of network slices, which can dynamically adjust the resource allocation condition according to the actual requirements of various network slices in a network area.
In a first aspect, the present application provides a method for computing a network slice shared resource, where the method includes:
monitoring user access rates of various types of network slices in a designated area at each time interval;
when entering the next time interval, calculating the speed drop of each network slice according to the user access peak speed of each network slice in the previous time interval and the maximum speed of the corresponding network slice;
determining a first target slice and a second target slice which need to share resources according to the speed difference of each network slice;
and calculating the resource sharing quantity according to the user access rate fluctuation ratio of the first target slice, the rate drop and the user access peak rate in the last period, and sharing the network resource with the second target slice according to the resource sharing quantity.
In a second aspect, the present application further provides a network slice shared resource computing apparatus, the apparatus comprising:
the monitoring module is used for monitoring the user access rate of various types of network slices in the designated area at each time interval;
the calculating module is used for calculating the speed fall of each network slice according to the user access peak rate of each network slice in the previous period and the maximum rate of the corresponding network slice when entering the next period;
the determining module is used for determining a first target slice and a second target slice which need to share resources according to the speed difference of each network slice;
and the allocation module is used for calculating the resource sharing quantity according to the user access rate fluctuation ratio of the first target slice, the rate drop and the user access peak rate in the last period, and sharing the network resource with the second target slice according to the resource sharing quantity.
According to the technical scheme, the method and the device for calculating the network slice shared resources are characterized in that the user access peak rates of various network slices in the last period are obtained by monitoring the user access rates of various network slices in the designated area; when entering the next time interval, calculating the speed drop of each network slice according to the user access peak speed of each type of network slice in the previous time interval and the maximum speed of the corresponding network slice; determining a first target slice and a second target slice which need to share resources according to the speed difference of each network slice; and calculating the resource sharing quantity according to the user access rate fluctuation ratio and the rate drop of the first target slice and the user access peak rate in the last period, and sharing the network resource with the second target slice according to the resource sharing quantity. The method and the device for calculating the shared resources of the network slices can improve the resource utilization rate, meet the resource requirements of various types of network slices and simultaneously ensure the performance stability of the various types of network slices.
Drawings
In order to more clearly explain the technical solution of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings can be obtained according to the drawings without any creative effort.
Fig. 1 is a flowchart illustrating a method for determining a network resource multiplexing region according to an exemplary embodiment of the present application;
fig. 2 is a schematic diagram illustrating network region partitioning according to an exemplary embodiment of the present application;
fig. 3 is a graph illustrating a variation of peak user access rates over time for eMBB network slices and urrllc network slices according to an example embodiment;
FIG. 4 is a flowchart illustrating S120 refinement shown in accordance with an exemplary embodiment of the present application;
FIG. 5(a) is a flowchart of a method for refining S140 in the embodiment of FIG. 1 of the present application;
FIG. 5(b) is a flowchart of another refinement method of S140 in the embodiment shown in FIG. 1 of the present application;
FIG. 6 is a flow chart illustrating a method for calculating network shared resources according to an exemplary embodiment of the present application;
fig. 7 is a block diagram of a device for determining a network resource multiplexing region according to an exemplary embodiment of the present application.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present application, 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.
The embodiment of the application firstly provides a method for determining a network resource multiplexing area, which is used for accurately screening out a resource multiplexing area in which resources are necessary to be dynamically adjusted from a plurality of network areas, and dynamically adjusting the resource allocation condition of various network slices in the determined resource multiplexing area according to the actual requirements of the various network slices. Furthermore, the utilization rate of network resources can be improved, and the service requirements of various types of network slices can be met.
Referring to fig. 1, in some embodiments, a network resource reuse region method provided by the present application may include the following steps shown in fig. 1:
s110, determining a region set to be analyzed, wherein the region set to be analyzed comprises at least one local network region.
As a possible implementation, a network area is first divided into a number of geographical grids; and then, taking the center of each geographical grid as a circle center and the preset size as a diameter to obtain a plurality of circular local network areas, wherein the plurality of local network areas form an area set to be analyzed. The shape of the geographic grid can be square, and the sizes of a plurality of geographic grids can be the same; the diameter dimension of the circular local network region may be larger than the diagonal dimension of the square geographic grid, such that the area of the local network region is larger than the area of the geographic grid.
Illustratively, the network area is divided into a plurality of geographic grids with the size of 50 meters × 50 meters, the geometric center of each geographic grid is taken as a circle, and R is taken as a radius, so that n circular local network areas D are obtained i All circular local network areas D i Form a set of regions to be analyzed { D i And i is 1,2, … …, n-1, n. Where n represents the number of geogrids.
Fig. 2 is a schematic diagram illustrating network region partitioning in some embodiments of the present application. As shown in fig. 2, the network area 200 is divided into a plurality of square geogrids 201, each geogrid 201 corresponds to a circular local network area 202, the area of the local network area 202 is much larger than that of the geogrid, and the local network areas are not completely overlapped.
In the example shown in fig. 2, the network slices that the operator has virtually drawn within the network area 200 include at least two types, an eMBB network slice and a urrllc network slice, respectively. That is to say, each local network area includes an eMBB network slice cell and a urrllc network slice cell, and network resources occupied by the eMBB network slice cell and the urrllc network slice cell are determined in a resource planning deployment phase of the network area.
It should be noted that the manner of determining the set of regions to be analyzed is not limited to the above implementation manner. For example, the network area may be directly divided into several completely non-coincident local network areas, so as to obtain an area set to be analyzed.
It should also be understood that, based on the increase of service scenarios and the change of networking requirements, the network area 200 may further include more types of network slices, such as mtc network slices separated for mtc (massive machine type of communication) scenarios.
For convenience of description, the following embodiments mainly use eMBB network slices and urrllc network slices in a local network area as examples to describe a specific implementation manner of the technical solution of the present application. The types of network slices mentioned in the following embodiments include at least an eMBB network slice and a urrllc network slice, unless otherwise specified. It should be understood that the eMBB network slice and the urrllc network slice belong to different types of network slices in the local network area.
In some embodiments, the network resources occupied by the network slices of different types respectively correspond to different slice modes. For example, the network resource of the eMBB network slice corresponds to the eMBB mode, the network resource of the uRLLC network slice corresponds to the uRLLC mode, and the corresponding slice mode corresponds to the uRLLC mode. Based on this, when adjusting the resource allocation, the slicing mode of the resource may be switched.
And S120, determining the difference of the user access rate among different types of network slices along with the change situation of the period according to the access rate and the maximum rate of the users of various types of network slices in each local network area in each period.
In a possible implementation mode, a statistical period is divided into a plurality of statistical time periods, and the user access rate of various types of network slices in each time period can be determined according to the historical records of the user access rate of various types of network slices in a local network areaThe peak-in rate. And further, the difference of the user access peak rates of the different types of network slices in each time period is analyzed, so that the difference of the user access peak rates of the different types of network slices along with the time period change condition is analyzed. Wherein, the jth period can be denoted as T j J is 0,1, … …, 22, m; the total number of time periods is m + 1.
Illustratively, one day is taken as a statistical cycle, and 24 hours in one day are respectively taken as 24 statistical periods, for example, 9 th statistical period to 10 th statistical period. In this example, m is 23. In this example, the 9 th statistical period may be denoted as T 9 。
Taking an eBB network slice and a uRLLC network slice as an example, the user access peak rate of the eBB network slice in each period can be determined according to the history of the eBB network slice about the user access rate, and the user access peak rate of the uRLLC network slice in each period can be determined according to the history of the user access rate darted by the uRLLC network slice.
Fig. 3 illustrates a graph diagram of user access peak rates over time for eMBB network slices and urrllc network slices. Wherein, a curve L1 shows the variation of the user access peak rate of the eMBB network slice with time, and a curve L2 shows the variation of the user access peak rate of the uRLLC network slice with time.
As can be seen from fig. 3, at time 0-5, the difference between the user access peak rates of the eMBB network slice and the urrllc network slice is very small, at time 5-8, the difference between the user access peak rates of the eMBB network slice and the urrllc network slice gradually increases, at time 8-9, the difference between the user access peak rates of the eMBB network slice and the urrllc network slice gradually decreases, at time 9-10, the difference between the user access peak rates of the eMBB network slice and the urrllc network slice increases again, and at time 10, the difference between the user access peak rates of the eMBB network slice and the urrllc network slice is large … …. It can be seen that the difference of the user access peak rates of the eMBB network slice and the urrllc network slice with the time-varying situation can be visually seen through fig. 3.
Based on this, S120 may include the steps shown in fig. 4:
and S121, calculating a fall array corresponding to each type of network slice in each local network area, wherein the fall array corresponding to each type of network slice comprises a fall of a user access peak rate of the type of network slice at each time period relative to the maximum rate of the type of network slice.
In this embodiment, the user access peak rates of each network slice at all time periods constitute a peak rate array corresponding to the network slice.
For example, for an eMBB network slice and a urrllc network slice in the ith local network area Di, based on the history of the eMBB network slice about the user access rates, the user access peak rates of the eMBB network slice for 24 periods of a day may be determined, and the 24 user access peak rate data form a peak rate array P corresponding to the eMBB network slice i e 。P i e It can be expressed as P i e (T 0 ),P i e (T 1 ),……，P i e (T 23 )}。
Similarly, according to the history of the uRLLC network slice about the user access rate, the user access peak rate of the uRLLC network slice in 24 time periods in one day can be determined, and the 24 user access peak rate data form a peak rate array P of the uRLLC network slice i u 。P i u It can be expressed as P i u (T 0 ),P i u (T 1 ),……，P i u (T 23 )}。
It should be noted that the maximum rate corresponding to each type of network slice may be a historical maximum rate obtained according to historical data of each type of network slice about the user access rate. For example, the maximum rate for the eMBB network slice may be a historical maximum rate obtained from historical data of the eMBB network slice with respect to user access rates, and the maximum rate for the uRLLC network slice may be a historical maximum rate obtained from historical data of the uRLLC network slice with respect to user access rates.
In some embodiments, the maximum rate for the eMBB network slice is referred to as a first maximum rate and the maximum rate for the uRLLC network slice is referred to as a second maximum rate. For convenience of illustration, the maximum rate corresponding to the eMBB network slice may be denoted as P i eMAX Record the maximum rate corresponding to the uRLLC network slice as P i uMAX 。
Obtaining a peak rate array P corresponding to an eMBB network slice i e Then, P is calculated i eMAX And P i e Obtaining the difference value of each difference data to obtain a difference array delta P corresponding to the eMBB network slice i e Δ P of i e Specifically, it can be expressed as {. DELTA.P i e (T 0 ),△P i e (T 1 ),……，△P i e (T 23 ) In which Δ P i e (T j )＝P i eMAX -P i e (T j ) J takes 0,1, … …, 23.
Obtaining a peak rate array P corresponding to the uRLLC network slice i u Then, P is calculated i uMAX And P i u Obtaining the difference value of each difference data to obtain the difference array delta P corresponding to the uRLLC network slice i u Δ P of i u Specifically, it can be expressed as {. DELTA.P i u (T 0 ),△P i u (T 1 ),……，△P i u (T 23 ) In which Δ P i u (T j )＝P i uMAX -P i u (T j ) J takes 0,1, … …, 23.
In some embodiments, the drop array Δ P corresponding to the eMBB network slice i e Called the first drop array, the corresponding drop array Δ P of uRLLC network slice i u Referred to as a second throw array.
And S122, calculating according to the fall array to obtain a fall ratio array, wherein the fall ratio array corresponding to each type of network slice comprises the ratio of each fall in the fall array corresponding to the type of network slice to the maximum fall corresponding to the type of network slice.
In some embodiments, the maximum drop corresponding to an eMBB network slice is referred to as a first maximum drop, and the maximum drop corresponding to a urrllc network slice is referred to as a second maximum drop. For convenience of illustration, the maximum drop corresponding to the eMBB network slice may be Δ P i eMAX The maximum fall corresponding to the uRLLC network slice is recorded as delta P i uMAX 。
It should be noted that the maximum drop corresponding to each type of network slice may be the maximum value in a drop array corresponding to the type of network slice. For example, maximum drop Δ P for eMBB network slice i eMAX ＝Max{△P i e (T 0 ),△P i e (T 1 ),……，△P i e (T 23 ) I.e. fall array Δ P i e Maximum value of (1); maximum drop delta P corresponding to uRLLC network slice i uMAX ＝Max{△P i u (T 0 ),△P i u (T 1 ),……，△P i u (T 23 ) Is the fall array Δ P i u Maximum value of (2).
Following the above example, fall array Δ P is calculated separately i e Each fall data and maximum fall Δ P in (1) i eMAX Obtaining a fall ratio array rho corresponding to the eMBB network slice i e The rho i e Specifically, it can be expressed as { ρ } i e (T 0 )，ρ i e (T 1 )，……，ρ i e (T 23 ) }; respectively calculating the fall arrays DeltaP i u Each fall data and maximum fall Δ P in (1) i uMAX Obtaining a fall ratio array rho corresponding to the uRLLC network slice i u The ρ i u Specifically, it can be expressed as { ρ } i u (T 0 )，ρ i u (T 1 )，……，ρ i u (T 23 )}。
In some embodiments, the fall ratio array ρ corresponding to the eMBB network slice i e Called the first fall ratio array, the fall array rho corresponding to the uRLLC network slice i u Referred to as the second fall-ratio array.
And S123, analyzing the difference of the user access rate of different types of network slices along with the change situation of the period according to the fall ratio array corresponding to each type of network slice.
In one implementation mode, a correlation coefficient is calculated according to a fall ratio array corresponding to two types of network slices, and the difference of the user access rates of the two types of network slices along with the change situation of the period is represented by the correlation coefficient.
It should be understood that each local network region may correspond to one or more correlation coefficients, depending on the number of types of network slices in the local network region. For example, when two types of network slices exist in a local network region, the local network region corresponds to a correlation coefficient, that is, the correlation coefficient is calculated according to a fall-off ratio array corresponding to the two types of network slices; when three types of network slices exist in a local network area, the local network area corresponds to 3 correlation coefficients, and the 3 correlation coefficients are respectively calculated according to a fall ratio array corresponding to each two types of network slices in the three types of network slices.
During specific implementation, the correlation coefficient can be calculated according to the fall ratio array corresponding to the two types of network slices and according to the following formula:
in the formula, gamma i(1-2) Representation according to local network region D i Calculating a correlation coefficient obtained by calculating a fall ratio array corresponding to the first type network slice and the second type network slice;
representing fall data corresponding to the jth time interval in a fall ratio array corresponding to the first type network slice;
representing fall data corresponding to the jth time interval in a fall ratio array corresponding to the second type network slice; m represents the maximum value of the period numbers; m +1 is the total number of time periods.
Following the foregoing example, the group ρ of fall ratios corresponding to the eMBB network slice may be based on i e Fall ratio array rho corresponding to uRLLC network slice i u The correlation coefficient is calculated as follows:
s130, determining the local network area with the difference meeting the preset resource multiplexing condition as a resource multiplexing area.
In the embodiment of the application, part of network resources in the resource multiplexing region can be time-division staggered peak multiplexing by different types of network slices, so that the local network region is required to have resource multiplexing conditions, that is, the difference of the user access rates of different types of network slices in the local network region along with the change of the period is required to be larger. For example, if the difference between the case that the user access rate of the eMBB network slice changes with time in the local network area and the case that the user access rate of the urrllc network slice changes with time meets the difference specified by the resource reuse condition, the local network area may be determined as a resource reuse area, and in some specific time periods, the eMBB network slice and the urrllc network slice may share part of the resources in the resource reuse area. For example, in the 9 th period, part of the resources of the eMBB network slice are allocated to the urrllc network slice, and in the 11 th period, the urrllc network slice is allocated to the eMBB network slice.
Specifically, in S130, it is determined whether one or more correlation coefficients corresponding to each local network area are smaller than a preset coefficient; if at least one of the local network areas corresponds toAnd determining the local network area as a resource multiplexing area when the correlation coefficient is smaller than the preset coefficient. Wherein the preset coefficient is greater than 0 and less than 1. For convenience of explanation, the predetermined coefficient may be expressed as
In some embodiments of the present invention, the,
may be 0.8. For example, for the ith local network region D i If the above-mentioned correlation coefficient γ i Less than a predetermined coefficient
The local network area D may be determined i Is a resource reuse region.
It should be understood that if the correlation coefficient calculated from the fall-off ratio arrays corresponding to the two types of network slices is smaller than the preset coefficient
The difference of the user access rates of the two types of network slices along with the change situation of the period meets the size specified by the resource multiplexing condition, so that the local network area can be determined as the resource multiplexing area.
In some embodiments, the resource multiplexing region is referred to as a designated region.
It should be understood that the preset coefficients can be adjusted as desired by one skilled in the art
So as to achieve the purpose of adjusting the resource multiplexing condition.
It can be seen from the foregoing S110-S130 that, in the method for determining a network resource multiplexing region provided in the present application, at least one local network region is first divided according to network regions, then differences in user access rates of different types of network slices in each local network region as time-varying are analyzed, and resource multiplexing regions satisfying resource multiplexing conditions are screened out from the local network regions according to differences in user access rates of different types of network slices in each local network region as time-varying, thereby completing screening of the resource multiplexing regions.
Next, in S140, network slice resources of different types in the resource multiplexing region are shared according to a resource sharing condition.
Specifically, whether various types of network slices in the resource multiplexing area meet the resource sharing condition or not is monitored. When at least one network slice in the resource multiplexing area is monitored to meet the preset resource sharing condition, part of resources of the network slices meeting the resource sharing condition are shared to other network slices.
Referring to fig. 5(a), in some embodiments, monitoring whether each type of network slice in the resource multiplexing region satisfies a resource sharing condition, and sharing part of resources of the network slice satisfying the resource sharing condition to other network slices when it is monitored that at least one network slice in the resource multiplexing region satisfies a preset resource sharing condition, may include:
s510, monitoring user access rates of various types of network slices in the resource multiplexing area.
In S510, the user access peak rates of various types of network slices in each time period are determined by monitoring the user access rates of the various types of network slices in the resource multiplexing region in real time.
And S520, when entering the next time interval, calculating the difference of the user access peak rate of each type of network slice in the previous time interval relative to the maximum rate corresponding to each type of network slice.
In this embodiment, the maximum rate of each type of network slice may be a historical maximum user access rate determined based on a history of user access rates for each type of network slice.
Reuse region D with resources i When the time period T is from the jth time period, the eMBB network slice and the uRLLC network slice in (1) are taken as examples j Go to the j +1 th time interval T j+1 Respectively calculating eMBB network slices in a time period T j Subscriber access ofPeak rate P i e (T j ) Maximum rate P relative to eMBB network slice i eMAX Drop height Δ P of i e (T j ) And uRLLC network slice is in time period T j User access peak rate P i u (T j ) Maximum rate P relative to uRLLC network slices i uMAX Drop height Δ P of i u (T j )。
Wherein, Δ P i e (T j )＝P i eMAX -P i e (T j )，△P i u (T j )＝P i uMAX -P i u (T j )。
In some embodiments, the drop Δ P corresponding to the eMBB network slice i e (T j ) Called first fall, and the fall delta P corresponding to the slicing of the uRLLC network i u (T j ) Referred to as the second drop.
And S530, judging whether a first target slice meeting the resource sharing condition exists according to the fall corresponding to each type of network slice.
In the present application, the first target slice may share part of its network resources with other types of network slices.
In one implementation, for each type of network slice, a ratio of a drop corresponding to the type of network slice to a maximum drop corresponding to the type of network slice is first calculated to obtain a drop ratio corresponding to the type of network slice. And when the fall ratio corresponding to the type of network slice is greater than the preset maximum threshold value of the type of network slice, determining the type of network slice as a first target slice.
The maximum difference corresponding to each type of network slice may be a historical maximum difference determined based on historical data of each type of network slice about the user access rate. For example, for an eMBB network slice, the corresponding maximum drop may be Δ P mentioned in the foregoing embodiments i eMAX (ii) a For the slice of the urrllc network, the corresponding maximum fall can be mentioned for the foregoing embodimentsDelta P of i uMAX . It should be understood that Δ P is determined from the corresponding history i eMAX And Δ P i uMAX The method of the present invention can be seen in the foregoing embodiments, which are not described herein in detail.
Following the foregoing example, a fall Δ P corresponding to an eMBB network slice is obtained i e (T j ) Then, calculate Δ P i e (T j ) Maximum drop Δ P corresponding to eMBB network slice i eMAX To obtain a drop ratio rho corresponding to the eMBB network slice i e (T j ) I.e. p i e (T j )＝△P i e (T j )/△P i eMAX (ii) a Obtaining the corresponding fall delta P of the uRLLC network slice i u (T j ) Then, calculate Δ P i u (T j ) Maximum drop Δ P corresponding to a slice of the uRLLC network i uMAX Obtaining the corresponding fall ratio rho of the uRLLC network slice i u (T j ) I.e. p i u (T j )＝△P i u (T j )/△P i uMAX 。
According to this implementation, if the eMBB network slice corresponds to a drop ratio ρ i e (T j ) Greater than a maximum threshold ρ preset for eMBB network slicing i eH Then the eMBB network slice is determined to be the first target slice. If the drop ratio rho corresponding to the uRLLC network slice i u (T j ) Greater than a maximum threshold ρ preset for a slice of the uRLLC network i uH Then the uRLLC network slice is determined to be the first target slice. That is, when ρ i e (T j )＞ρ i eH When the eMBB network slice is determined to be the first target slice, when rho is i u (T j )＞ρ i uH Then, the urrllc network slice is determined to be the first target slice.
In some embodiments, if it is determined through S530 that there is a first target slice satisfying the resource sharing condition, a resource sharing operation is triggered, i.e., in S540, a part of resources of the first target slice is shared to at least one other network slice.
For example, in the foregoing example, if the eMBB network slice is determined to be the first target slice, part of the resources of the eMBB network slice are shared with the urrllc network slice, and if the urrllc network slice is determined to be the first target slice, part of the resources of the urrllc network slice are shared with the eMBB network slice.
It should be noted that those skilled in the art may adjust the preset maximum threshold value, such as ρ, of each type of network slice as required i uH And ρ i eH Thereby achieving the purpose of adjusting the resource sharing condition.
From S510-S540, the user access peak rates of various types of network slices in various time periods are obtained by monitoring the user access rates of various types of network slices in the resource multiplexing area in real time; when entering the next time interval, calculating the difference of the user access peak rate of each type of network slice in the previous time interval relative to the maximum rate of each type of network slice, and judging whether a first target slice meeting the resource sharing condition exists according to the difference corresponding to each type of network slice; if the first target slice exists, part of the resources of the first target slice are shared to at least one other network slice. Therefore, the method provided by the application can be used for dynamically optimizing the resource allocation scheme by combining the resource requirements of various types of network slices, so that different types of network slices can share part of resources, the utilization rate of the network resources can be improved, and the service requirements of various types of network slices can be met.
Referring to fig. 5(b), in other embodiments, if it is determined at S530 that the first target slice exists in the resource multiplexing region, S550 is performed: namely, whether a second target slice meeting the resource acceptance condition exists in the resource multiplexing region is judged according to the corresponding fall of each type of network slice. If the second target slice exists, triggering a resource sharing operation, namely sharing part of resources of the first target slice to the second target slice in S560; and if the second target slice does not exist, not triggering the resource sharing operation. That is, in these embodiments, when it is detected that a first target slice and a second target slice exist in the resource multiplexing region, part of the resources of the first target slice is shared to the second target slice. Wherein the first target slice is of a different type than the second target slice.
Specifically, for each network slice, judging whether the fall ratio corresponding to the type of network slice is smaller than a preset minimum threshold value of the type of network slice; and if the fall ratio corresponding to the type of network slice is smaller than the preset minimum threshold value of the type of network slice, determining that the type is the network slice as a second target slice.
Following the foregoing example, after determining the eMBB network slice as the first target slice, the drop ratio ρ corresponding to the urrllc network slice is determined i u (T j ) Whether the minimum threshold value is less than a preset minimum threshold value rho of the uRLLC network slice i uL Judging whether the uRLLC network slice is a second target slice meeting the resource acceptance condition; and if the uRLLC network slice is the second target slice, triggering the resource sharing operation, namely sharing partial resources of the eMBB network slice to the uRLLC network slice, and if the uRLLC network slice is not the second target slice, not triggering the resource sharing operation. That is, when ρ i e (T j )＞ρ i eH And ρ i u (T j )＜ρ i uL When the eMBB network slice is shared with partial resources of the urrllc network slice.
Similarly, after the uRLLC network slice is determined as the first target slice, the fall ratio rho corresponding to the eMBB network slice is determined i e (T j ) Whether the value is less than a preset minimum threshold value rho of eMBB network slice i eL Judging whether the eMBB network slice is a second target slice meeting the resource acceptance condition; if the eMBB network slice is a second target slice, triggering resource sharing operation, namely sharing partial resources of the uRLLC network slice to the eMBB network slice, and if the eMBB network slice is not the second target slice, not triggering the resource sharing operation. That is, when ρ i e (T j )＜ρ i eL And ρ i u (T j )＞ρ i uH When the network slice is the eMBB network slice, partial resources of the uRLLC network slice are shared.
It should be noted that those skilled in the art may adjust the preset minimum threshold value of each type of network slice, such as ρ i uL And ρ i eL Thereby achieving the purpose of adjusting the resource receiving condition.
It can be seen from S510-S530 and S550-S560 that the user access peak rates of various types of network slices at various time periods are obtained by monitoring the user access rates of various types of network slices in the resource multiplexing region in real time; when entering the next time interval, calculating the difference of the user access peak rate of each type of network slice in the previous time interval relative to the maximum rate of each type of network slice, judging whether a first target slice meeting the resource sharing condition and a second target slice meeting the resource receiving condition exist according to the difference corresponding to each type of network slice, and sharing part of resources of the first target slice to the second target slice if the first target slice exists and the second target slice exists. Therefore, the method provided by the application can be used for dynamically optimizing the resource allocation scheme by combining the resource requirements of various types of network slices, so that different types of network slices can share part of resources, the utilization rate of the network resources can be improved, and the service requirements of various types of network slices can be met.
It should be noted that, when sharing the network resources of various types of network slices in the resource multiplexing area, the resource sharing amount may be calculated according to the network slice sharing resource calculation method provided in the embodiment shown in fig. 6, so that the network resources of the first target slice are shared to the second target slice or other network slices according to the resource sharing amount.
An embodiment of the present application further provides a method for computing a network slice shared resource, where the method may include the steps shown in fig. 6:
s610, monitoring the user access rate of various types of network slices in the designated area in each time period.
The designated area is a resource multiplexing area which meets the resource multiplexing condition. For example, the designated area may be a resource reuse area screened from a plurality of local network areas according to the network resource reuse area determination method provided in the embodiment shown in fig. 1. Illustratively, the eMB network slice and the uRLLC network slice in the designated area, and the difference of the user access rates of the eMB network slice and the uRLLC network slice along with the time-varying situation meets the preset resource multiplexing condition.
For example, the designated area may be a resource multiplexing area Di, and i is a serial number of the designated area or the resource multiplexing area.
And S620, when entering the next time interval, calculating the speed drop of each network slice according to the user access peak speed of each type of network slice in the previous time interval and the maximum speed of the corresponding network slice.
For example, for the eMBB network slice and the urrllc network slice in the resource multiplexing area Di, S620 may specifically include:
each time a next period is entered, a first drop of the first rate relative to the first maximum rate and a second drop of the second rate relative to the second maximum rate are calculated. The first rate is a user access peak rate of the eMB network slice in a last period, and the second rate is a user access peak rate of the uRLLC network slice in the last period.
It should be understood that the first rate may be P as mentioned in the above embodiments when going from the jth interval to the j +1 th interval i e (T j ) The second rate may be P as mentioned in the above embodiment i u (T j ) The first maximum rate is P mentioned in the above embodiment i eMAX The second maximum rate is P mentioned in the above embodiment i uMAX First drop Δ P i e (T j )＝P i eMAX -P i e (T j ) Second step Δ P i u (T j )＝P i uMAX -P i u (T j )。
And S630, determining a first target slice and a second target slice which need to share the resource according to the speed difference of each network slice.
Specifically, when the first drop satisfies a first numerical relationship and the second drop satisfies a second numerical relationship, determining the eMBB network slice as a first target slice, and determining the uRLLC network slice as a second target slice; when the second drop does not satisfy the second numerical relationship, determining the uRLLC network slice as a first target slice; when the first fall ratio is larger than the first fluctuation ratio, determining that the first fall satisfies a first numerical relationship, wherein the first fall ratio is the ratio of the first fall to a first maximum fall; and when the second fall ratio is smaller than the integral multiple of the second fluctuation ratio, determining that the second fall satisfies a second numerical relationship, wherein the second fall ratio is the ratio of the second fall to the second maximum fall.
Specifically, first, a first drop ratio ρ of the eMBB network slice in the last time period is calculated respectively i e (T j ) And a second fall-off ratio ρ of the uRLLC network slice over the last period i u (T j ). Where ρ is i e (T j )＝△P i e (T j )/△P i eMAX ，△P i eMAX Is the first maximum fall; rho i u (T j )＝△P i u (T j )/△P i uMAX ，△P i uMAX The second largest drop.
If the first drop ratio ρ i e (T j ) If the first difference is larger than a first fluctuation ratio, determining that the first difference meets a first numerical relation, wherein the first fluctuation ratio is larger than or equal to a maximum threshold value rho preset by an eMBB network slice i eH The first fluctuation ratio is used to satisfy a basic fluctuation of a user access rate of the eMBB network slice. If the second drop ratio rho i u (T j ) Determining that the second drop satisfies a second numerical relationship when the second drop is smaller than an integral multiple of a second fluctuation ratio, wherein the second fluctuation ratio is larger than or equal to a maximum threshold value rho preset by the uRLLC network slice i uH . At this time, the eMBB network slice is determined as a first target slice, the uRLLC network slice is determined as a second target slice, and the eMBB network slice needs to be cutPart of the slice resources are shared to the urrllc network slice.
That is, when ρ i e (T j )＞ρ i eMAR And ρ i u (T j )＜K i u ×ρ i eMAR In time, partial resources of the eMBB network slice are shared by the uRLLC network slice, and therefore, the performance stability of the eMBB network slice can be guaranteed while the resource utilization rate is improved and the resource requirements of the uRLLC network slice are met.
If the second drop ratio rho i u (T j ) And if the second difference is larger than or equal to the integral multiple of the second fluctuation ratio, determining that the second difference does not satisfy the second numerical relation, and at this time, determining the uRLLC network slice as a first target slice and sharing part of resources of the uRLLC network slice to the eMBB network slice.
That is, when ρ i u (T j )≥K i u ×ρ i eMAR When the network slice is the eMBB network slice, partial resources of the uRLLC network slice are shared. Wherein, K i u Is a positive integer. Furthermore, the performance stability of the urrllc network slice can be ensured while the resource utilization rate is improved and the resource requirement of the eMBB network slice is met.
It should be understood that the first fluctuation ratio may be determined or preset parameters according to a fluctuation law of a user access rate of the eMBB network slice, and the second fluctuation ratio may be determined or preset parameters according to a fluctuation law of a user access rate of the urrllc network slice.
And S640, calculating the resource sharing quantity according to the user access rate fluctuation ratio and the rate drop of the first target slice and the user access peak rate in the last period, and sharing the network resource with the second target slice according to the calculated resource sharing quantity.
In order to ensure the performance of the first target slice while sharing part of the resources of the first target slice to the second target slice or any other network slice, the resource sharing amount of the first target slice may be calculated according to the following formula, so that part of the resources of the first target slice is shared to other network slices according to the calculated resource sharing amount:
wherein the content of the first and second substances,
representing the amount of resource sharing of the first target slice at the jth time period;
representing the user access peak rate of the first target slice in the j time period;
representing a fall-off ratio of the first target slice at the jth time interval;
representing a preset first fluctuation ratio of the first target slice.
Illustratively, for resource reuse zone D i eMBB network slice and urrllc network slice in (1): in the case that the eMBB network slice is the first target slice and the urrllc network slice is the second target slice, the first resource sharing amount may be calculated according to the following formula, so that part of the resources of the eMBB network slice are shared to the urrllc network slice according to the first resource sharing amount (or the first resource allocation amount):
wherein the content of the first and second substances,
indicating the resource sharing amount of the eMBB network slice needing to be shared to the uRLLC network slice in the j +1 th time period;
When the urrllc network slice is the first target slice and the eMBB network slice is the second target slice, a second resource sharing amount may be calculated according to the following equation, so as to share part of resources of the urrllc network slice to the eMBB network slice according to the second resource sharing amount:
wherein the content of the first and second substances,
the resource sharing amount required to be shared to the eMBB network slice by the uRLLC network slice in the (k + 1) th time interval is represented;
In specific implementation, the first resource sharing amount or the second resource sharing amount is converted into corresponding air interface wireless access rate bandwidth resources, transmission rate bandwidth resources, core network switching routing bandwidth resources, and the like, and the slice mode corresponding to the corresponding network resources is switched from the mode corresponding to the first target slice to the mode corresponding to the second target slice. For example, when partial resources of the eMBB network slice are shared by the urrllc network slice, the slice mode of the partial resources is switched from the eMBB mode to the urrllc mode, and when the partial resources of the urrllc network slice are shared by the eMBB network slice, the slice mode of the partial resources is switched from the urrllc mode to the eMBB mode.
It should be understood that when one period ends or a new period is entered, the slicing mode of all resources in the resource multiplexing region is reset to the initial mode, so that the resource allocation condition in the resource multiplexing region is restored to the state before resource sharing.
It can be seen from the above embodiments that, the network slice shared resource calculation method provided by the present application can ensure the performance of the first target slice while sharing part of the resources of the first target slice to the second target slice or any other network slice.
According to the method for computing network slice shared resources provided by the embodiment of the present application, the present application further provides a device for computing network slice shared resources, as shown in fig. 7, the device may include:
the monitoring module 710 is configured to monitor user access rates of various types of network slices in a designated area at various time periods; a calculating module 720, configured to calculate a rate drop of each network slice according to a user access peak rate of each type of network slice in a previous time period and a maximum rate of the corresponding network slice when entering a next time period; a determining module 730, configured to determine, according to the speed difference of each network slice, a first target slice and a second target slice that need to share a resource; the allocating module 740 is configured to calculate a resource sharing amount according to the user access rate fluctuation ratio of the first target slice, the rate drop and the user access peak rate in the previous time period, and share the network resource with the second target slice according to the resource sharing amount.
In some embodiments, the designated area includes an eMBB network slice and a urrllc network slice;
the calculation module is specifically configured to: calculating a first drop of a first rate relative to a first maximum rate and a second drop of a second rate relative to a second maximum rate, wherein the first rate and the second rate are user access peak rates of the eMBB network slice and the uRLLC network slice in a last period respectively; the determining module is specifically configured to: when the first drop satisfies a first numerical relationship and the second drop satisfies a second numerical relationship, determining the eMBB network slice as a first target slice and determining the uRLLC network slice as a second target slice; when the second drop does not satisfy the second numerical relationship, determining the uRLLC network slice as a first target slice; when the first fall ratio is larger than a first fluctuation ratio, determining that the first fall meets a first numerical relationship, wherein the first fall ratio is the ratio of the first fall to a first maximum fall; and when the second fall ratio is smaller than the integral multiple of the second fluctuation ratio, determining that the second fall satisfies a second numerical relationship, wherein the second fall ratio is the ratio of the second fall to a second maximum fall.
In some embodiments, the allocation module 730 is specifically configured to: calculating a first resource allocation amount according to the following formula;
allocating part of resources of the eMBB network slice to the uRLLC network slice according to the first resource allocation amount;
wherein the content of the first and second substances,
representing a first resource allocation amount;
Calculating a second resource allocation amount according to the following formula;
allocating part of resources of the urrllc network slice to the eMBB network slice according to the second resource allocation amount;
wherein the content of the first and second substances,
representing a second resource allocation amount;
In some embodiments, the designated area is a resource reuse area screened from a plurality of local network areas in advance, and differences of user access rates of the eMBB network slice and the urrllc network slice in the resource reuse area along with time-varying conditions meet preset resource reuse conditions.
In some embodiments, the difference of the user access rates of the eMBB network slice and the urrllc network slice in the local network region over time period is analyzed according to the following steps:
calculating a first drop array corresponding to the eBB network slice and a second drop array corresponding to the uRLLC network slice, wherein the first drop array comprises drops of user access peak rates of the eBB network slice in each period relative to a first maximum rate, and the second drop array comprises drops of user access peak rates of the uRLLC network slice in each period relative to a second maximum rate;
calculating a first fall ratio array and a second fall ratio array, wherein the first fall ratio array comprises the ratio of each fall in the first fall array to a first maximum fall, and the second fall ratio array comprises the ratio of each fall in the second fall array to a second maximum fall;
and analyzing the difference of the user access rates of the eMBB network slice and the uRLLC network slice in the local network area along with the change of the period according to the first fall ratio array and the second fall ratio array.
In some embodiments, analyzing the difference in user access rates of the eMBB network slice and the urrllc network slice over time in the local network region from the first fall ratio array and the second fall ratio array comprises:
calculating correlation coefficients of the first fall ratio array and the second fall ratio array, wherein the correlation coefficients are used for characterizing differences of user access rates of the eMBB network slice and the uRLLC network slice along with time-varying conditions according to the following formula:
wherein the content of the first and second substances,
representing the fall ratio corresponding to the jth period in the first fall ratio array,
and the fall ratio corresponding to the jth time interval in the second fall ratio array is shown, and the total number of the time intervals is m + 1.
In some embodiments, determining a difference between user access rates of the eMBB network slice and the urrllc network slice in the local network region over time period, whether the difference satisfies the resource multiplexing condition:
judging whether the correlation coefficient is smaller than a preset coefficient or not;
and if the correlation coefficient is smaller than the preset coefficient, determining the local network area as the resource multiplexing area.
In specific implementation, the present invention further provides a computer storage medium, where the computer storage medium may store a program, and when the program is executed, the program may include some or all of the steps in each embodiment of the network slice shared resource calculation method provided by the present invention. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM) or a Random Access Memory (RAM).
Those skilled in the art will readily appreciate that the techniques of the embodiments of the present invention may be implemented as software plus a required general purpose hardware platform. Based on such understanding, the technical solutions in the embodiments of the present invention may be essentially or partially implemented in the form of a software product, which may be stored in a storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments or some parts of the embodiments.
The same and similar parts among the various embodiments in this specification may be referred to each other. In particular, as for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is simple, and the relevant points can be referred to the description in the method embodiment.
The above-described embodiments of the present invention do not limit the scope of the present invention.
Claims (10)
1. A method for computing network slice shared resources, the method comprising:
monitoring user access rates of various types of network slices in a designated area at various time intervals;
when entering the next time interval, calculating the speed drop of each network slice according to the user access peak speed of each type of network slice in the previous time interval and the maximum speed of the corresponding network slice;
determining a first target slice and a second target slice which need to share resources according to the speed difference of each network slice;
and calculating the resource sharing quantity according to the user access rate fluctuation ratio of the first target slice, the rate drop and the user access peak rate in the last period, and sharing the network resource with the second target slice according to the resource sharing quantity.
2. The method of claim 1, wherein the designated area comprises an eMBB network slice and a uRLLC network slice;
the calculating the speed drop of each network slice according to the user access peak rate of each type of network slice in the last period and the maximum rate of the corresponding network slice comprises the following steps:
calculating a first drop of a first rate relative to a first maximum rate and a second drop of a second rate relative to a second maximum rate, wherein the first rate and the second rate are user access peak rates of the eMBB network slice and the uRLLC network slice in a last period respectively;
the determining a first target slice and a second target slice which need to share resources according to the speed difference of each network slice comprises the following steps:
when the first drop satisfies a first numerical relationship and the second drop satisfies a second numerical relationship, determining the eMBB network slice as a first target slice and determining the uRLLC network slice as a second target slice;
when the second drop does not satisfy the second numerical relationship, determining the uRLLC network slice as a first target slice; when the first fall ratio is larger than a first fluctuation ratio, determining that the first fall meets a first numerical relationship, wherein the first fall ratio is the ratio of the first fall to a first maximum fall; and when the second fall ratio is smaller than the integral multiple of the second fluctuation ratio, determining that the second fall satisfies a second numerical relationship, wherein the second fall ratio is the ratio of the second fall to a second maximum fall.
3. The method of claim 2, wherein when the eMBB network slice is a first target slice and the uRLLC network slice is a second target slice, the calculating a resource sharing amount according to a fluctuation ratio of a user access rate of the first target slice, the rate drop and a user access peak rate in a previous period, and sharing network resources with the second target slice according to the resource sharing amount comprises:
calculating a first resource sharing amount according to the following formula;
allocating part of resources of the eMBB network slice to the uRLLC network slice according to the first resource sharing amount;
wherein the content of the first and second substances,
representing a first shared allocation amount;
4. The method of claim 2, wherein when the urrllc network slice is a first target slice, the calculating a resource sharing amount according to a fluctuation ratio of user access rates of the first target slice, the rate drop and a peak user access rate in a previous period, and sharing network resources with the second target slice according to the resource sharing amount comprises:
calculating a second resource sharing amount according to the following formula;
allocating part of the resources of the urrllc network slice to the eMBB network slice according to the second resource sharing amount;
wherein the content of the first and second substances,
representing a second amount of resource sharing;
5. The method according to any one of claims 2 to 4, wherein the designated area is a resource reuse area previously screened from a plurality of local network areas, and the difference between the user access rates of the eMBB network slice and the uRLLC network slice in the resource reuse area over time meets a preset resource reuse condition.
6. The method of claim 5, wherein the difference between the eMB network slice and the uRLLC network slice over time in the local network region is determined according to the following steps:
calculating a first fall array corresponding to the eMBB network slice and a second fall array corresponding to the uRLLC network slice, wherein the first fall array comprises the fall of the eMBB network slice in the user access peak rate relative to the first maximum rate in each period, and the second fall array comprises the fall of the uRLLC network slice in the user access peak rate relative to the second maximum rate in each period;
calculating a first fall ratio array and a second fall ratio array, wherein the first fall ratio array comprises the ratio of each fall in the first fall array to a first maximum fall, and the second fall ratio array comprises the ratio of each fall in the second fall array to a second maximum fall;
and determining the difference of the user access rates of the eMBB network slice and the uRLLC network slice in the local network region along with the change of the time period according to the first fall ratio array and the second fall ratio array.
7. The method of claim 6, wherein the determining, from the first and second sets of fall ratios, the dissimilarity in user access rates of the eMB network slice and the uRLLC network slice across time segments in the local network region comprises:
calculating correlation coefficients of the first fall ratio array and the second fall ratio array, wherein the correlation coefficients are used for representing differences of user access rates of the eMBB network slice and the uRLLC network slice along with time-varying conditions according to the following formula:
wherein the content of the first and second substances,
indicating the fall-off ratio corresponding to the jth period in the first fall-off ratio array,
and the fall ratio corresponding to the jth time interval in the second fall ratio array is shown, and the total number of the time intervals is m + 1.
8. The method of claim 7, wherein determining whether the difference between the eMBB network slice and the uRLLC network slice in the local network region in terms of user access rates over time meets the resource reuse condition is performed according to the following steps:
judging whether the correlation coefficient is smaller than a preset coefficient or not;
and if the correlation coefficient is smaller than the preset coefficient, determining the local network area as the resource multiplexing area.
9. A network slice shared resource computing apparatus, the apparatus comprising:
the monitoring module is used for monitoring the user access rate of various network slices in the designated area at each time interval;
the computing module is used for computing the speed fall of each network slice according to the user access peak speed of each type of network slice in the last period and the maximum speed of the corresponding network slice when entering the next period;
the determining module is used for determining a first target slice and a second target slice which need to share resources according to the speed difference of each network slice;
and the allocation module is used for calculating the resource sharing quantity according to the user access rate fluctuation ratio of the first target slice, the rate drop and the user access peak rate in the last period, and sharing the network resource with the second target slice according to the resource sharing quantity.
10. The apparatus of claim 9, wherein the designated area comprises an eMBB network slice and a uRLLC network slice;
the calculation module is specifically configured to: calculating a first drop of a first rate relative to a first maximum rate and a second drop of a second rate relative to a second maximum rate, wherein the first rate and the second rate are user access peak rates of the eMBB network slice and the uRLLC network slice in a last period respectively;
the determining module is specifically configured to: when the first fall satisfies a first numerical relationship and the second fall satisfies a second numerical relationship, determining the eMBB network slice as a first target slice and determining the uRLLC network slice as a second target slice;
when the second drop does not satisfy the second numerical relationship, determining the uRLLC network slice as a first target slice; when the first fall ratio is larger than a first fluctuation ratio, determining that the first fall meets a first numerical relationship, wherein the first fall ratio is the ratio of the first fall to a first maximum fall; and when the second fall ratio is smaller than the integral multiple of the second fluctuation ratio, determining that the second fall satisfies a second numerical relationship, wherein the second fall ratio is the ratio of the second fall to a second maximum fall.
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