CN111885638A - Method and device for determining number of busy hour service transmission layers - Google Patents
Method and device for determining number of busy hour service transmission layers Download PDFInfo
- Publication number
- CN111885638A CN111885638A CN202010718787.0A CN202010718787A CN111885638A CN 111885638 A CN111885638 A CN 111885638A CN 202010718787 A CN202010718787 A CN 202010718787A CN 111885638 A CN111885638 A CN 111885638A
- Authority
- CN
- China
- Prior art keywords
- sliding time
- time window
- transmission layers
- determining
- service transmission
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
Abstract
The invention discloses a method and a device for determining the number of layers of busy hour service transmission, and relates to the technical field of communication. The method comprises the following steps: the resource utilization rate and the number of service transmission layers of sampling points of a plurality of sliding time windows are obtained firstly. And then, determining the resource utilization rate and the number of service transmission layers of each sliding time window according to the resource utilization rate and the number of service transmission layers of the N sampling points of each sliding time window. Then, the number of traffic transmission layers of the first busy hour sliding time window is determined. And finally, determining the number of the busy hour service transmission layers according to the number of the service transmission layers of the first busy hour sliding time window. Each of the plurality of sliding time windows includes N sampling points, where N is a positive integer. The first busy hour sliding time window is a sliding time window with the highest resource utilization rate in a plurality of sliding time windows.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for determining a number of layers of a busy hour service transmission.
Background
The expansion of a fifth generation mobile communication technology (5th generation wireless systems, 5G) network requires the evaluation of network capacity and load level. The evaluation of both network capacity and load level requires determining the number of traffic transmission layers in busy hours. However, there is no method for determining the number of busy traffic transmission layers in the prior art.
Disclosure of Invention
The invention provides a method and a device for determining the number of busy-hour service transmission layers, which are used for solving the problem of how to determine the number of busy-hour service transmission layers.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the present invention provides a method for determining a number of busy hour service transmission layers, where the method includes: the resource utilization rate and the number of service transmission layers of sampling points of a plurality of sliding time windows are obtained firstly. And then, determining the resource utilization rate and the number of service transmission layers of each sliding time window according to the resource utilization rate and the number of service transmission layers of the N sampling points of each sliding time window. Then, the number of traffic transmission layers of the first busy hour sliding time window is determined. And finally, determining the number of the busy hour service transmission layers according to the number of the service transmission layers of the first busy hour sliding time window. Each of the plurality of sliding time windows includes N sampling points, where N is a positive integer. The first busy hour sliding time window is a sliding time window with the highest resource utilization rate in a plurality of sliding time windows.
It can be seen that the invention adopts the sliding time window as the statistical interval, and determines the number of the service transmission layers in busy hour according to the number of the service transmission layers in the sliding time window with the highest resource utilization rate. Therefore, the problem of how to determine the number of the service transmission layers in busy time is solved.
In a second aspect, the present invention provides an apparatus for determining the number of layers of busy hour service transmission, including: the device comprises an acquisition unit, a first determination unit, a second determination unit and a third determination unit. The device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring the resource utilization rate and the number of service transmission layers of sampling points of a plurality of sliding time windows, each sliding time window of the plurality of sliding time windows comprises N sampling points, and N is a positive integer. And the first determining unit is used for determining the resource utilization rate and the number of the service transmission layers of each sliding time window according to the resource utilization rate and the number of the service transmission layers of the N sampling points of each sliding time window. A second determining unit, configured to determine the number of service transmission layers in a first busy hour sliding time window, where the first busy hour sliding time window is a sliding time window with a highest resource utilization rate among the multiple sliding time windows. And a third determining unit, configured to determine the number of busy hour service transmission layers according to the number of service transmission layers of the first busy hour sliding time window.
In a third aspect, the present invention provides a computer readable storage medium storing one or more programs, the one or more programs comprising instructions which, when executed by a busy-time traffic transmission layer number determination apparatus, cause the busy-time traffic transmission layer number determination apparatus to execute the busy-time traffic transmission layer number determination method according to the first aspect.
In a fourth aspect, the present invention provides a computer program product containing instructions, when the instructions are run on a device for determining the number of layers of busy service transmission, the device for determining the number of layers of busy service transmission is enabled to execute the method for determining the number of layers of busy service transmission according to the first aspect.
In a fifth aspect, the present invention provides an apparatus for determining the number of layers of busy hour service transmission, including: the processor and the memory, the memory is used for storing programs, and the processor calls the programs stored in the memory to execute the method for determining the number of busy hour service transmission layers according to the first aspect.
Reference may be made to the detailed description of the first aspect and various implementations thereof for specific descriptions of the second to fifth aspects and various implementations thereof in the present disclosure; moreover, the beneficial effects of the second aspect to the fifth aspect and the various implementation manners thereof may refer to the beneficial effect analysis of the first aspect and the various implementation manners thereof, and are not described herein again.
These and other aspects of the invention will be more readily apparent from the following description.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a first schematic structural diagram of a device for determining the number of layers of busy service transmission according to an embodiment of the present invention;
fig. 2 is a first flowchart of a method for determining a number of busy hour service transmission layers according to an embodiment of the present invention;
fig. 3 is a second flowchart of a method for determining the number of layers of busy hour service transmission according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a device for determining the number of busy traffic transmission layers according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, 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 invention.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone.
The terms "first" and "second" and the like in the description of the present invention and the drawings are used for distinguishing different objects or for distinguishing different processes for the same object, and are not used for describing a specific order of the objects.
Furthermore, the terms "comprising" and "having" and any variations thereof as referred to in the description of the invention are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
It should be noted that in the description of the embodiments of the present invention, words such as "exemplary" or "for example" are used to indicate examples, illustrations or illustrations. Any embodiment or design described as "exemplary" or "e.g.," an embodiment of the present invention is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
In the description of the present invention, the meaning of "a plurality" means two or more unless otherwise specified.
The embodiment of the invention provides a method for determining the number of busy hour service transmission layers, which can be executed by a device 100 for determining the number of busy hour service transmission layers. Fig. 1 shows a hardware configuration of an apparatus 100 for determining the number of traffic transmission layers in busy hours. As shown in fig. 1, the apparatus 100 for determining the number of busy traffic transmission layers may include at least one processor 101, a communication line 102, a memory 103, and a communication interface 104.
Specifically, the processor 101 is configured to execute computer-executable instructions stored in the memory 103, so as to implement steps or actions of the terminal.
The processor 101 may be a chip. For example, the Field Programmable Gate Array (FPGA) may be an Application Specific Integrated Circuit (ASIC), a system on chip (SoC), a Central Processing Unit (CPU), a Network Processor (NP), a digital signal processing circuit (DSP), a Microcontroller (MCU), a programmable logic controller (PLD) or other integrated chips.
A communication line 102 for transmitting information between the processor 101 and the memory 103.
The memory 103 is used for storing and executing computer execution instructions and is controlled by the processor 101 to execute.
The memory 103 may be separate and coupled to the processor via the communication line 102. The memory 103 may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. Volatile memory can be Random Access Memory (RAM), which acts as external cache memory. By way of example, and not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic Random Access Memory (SDRAM), double data rate SDRAM, Enhanced SDRAM (ESDRAM). It should be noted that the memory of the systems and apparatus described herein is intended to comprise, without being limited to, these and any other suitable types of memory.
A communication interface 104 for communicating with other devices or a communication network. The communication network may be an ethernet, a Radio Access Network (RAN), or a Wireless Local Area Network (WLAN).
The following describes a method for determining the number of busy service transmission layers according to an embodiment of the present invention, with reference to the apparatus 100 for determining the number of busy service transmission layers shown in fig. 1.
As shown in fig. 2, a method for determining the number of busy service transmission layers according to an embodiment of the present invention includes:
s201, the device 100 for determining the number of layers of service transmission in busy hour obtains the resource utilization rate and the number of layers of service transmission of the sampling points of a plurality of sliding time windows.
Each of the plurality of sliding time windows includes N sampling points, where N is a positive integer.
For each time window, the resource utilization rate of each sampling point can be counted by adopting a utilization rate statistical method based on the occupation of main resources, and the resource utilization rate of each sampling point can also be counted by adopting a utilization rate statistical method based on the main transmission time.
The number of service transmission layers reflects the number of data streams transmitted on the same time-frequency physical resource. The number of traffic transmission layers may also be referred to as the number of traffic transmission streams or the number of traffic channel transmission layers. The number of service transmission layers of a sampling point can be calculated according to the relation of "number of service transmission layers ═ (Σ number of PRBs occupied by ith layer of service channel)/total number of PRBs occupied by cell service channel × 100%". In the relation, i represents the ith stream data. The channels include, but are not limited to, a Physical Downlink Shared Channel (PDSCH), a Physical Uplink Shared Channel (PUSCH), a Physical Downlink Control Channel (PDCCH), a Physical Uplink Control Channel (PUCCH), a Physical Random Access Channel (PRACH), and other channels.
For example, 139 sliding time windows may be divided by a sliding step size of 10 minutes as a sliding time window and a sliding window length of 60 minutes as a sliding time window from zero per day. With one radio frame, i.e., 10 milliseconds (ms), as the sampling dotting period length of the sliding time window, there are N (N360000) sampling points per sliding time window. For each sliding time window. The determining apparatus 100 for the number of layers of service transmission in busy hour obtains resource utilization rates that can obtain N sampling points, which are: etaiI is 1,2, … N. Similarly, the device 100 for determining the number of transmission layers of a busy service can also obtain the number of transmission layers of a service at N sampling points, which are: l isi，i＝1,2,…N。ηiAnd LiCorresponding to the same sampling point.
S202, the busy hour service transmission layer number determining apparatus 100 determines the resource utilization rate and the service transmission layer number of each sliding time window according to the resource utilization rate and the service transmission layer number of the N sampling points of each sliding time window.
Specifically, S202 may include:
the target sampling points for each sliding time window are determined.
The target sampling points are M sampling points with the maximum resource utilization rate in the N sampling points of each sliding time window, and M is a positive integer.
Exemplary, will etaiI-1, 2, … N is ordered from large to small to get βi，i＝1,2,…N，βiSatisfy beta1≥β2≥…≥βN. Then beta is mixediAnd determining the sampling points corresponding to the M resource utilization rates with the maximum medium resource utilization rate as target sampling points.
And determining the resource utilization rate of each sliding time window according to the resource utilization rate of the target sampling point of each sliding time window.
Specifically, determining the resource utilization rate of each sliding time window according to the resource utilization rate of the target sampling point of each sliding time window includes:
and accumulating the resource utilization rate of the target sampling point of each sliding time window to obtain the sum of the resource utilization rates of the target sampling points of each sliding time window.
Optionally, the sum of the number of traffic transmission layers of the target sampling point of each sliding time window is greater than or equal to: the sum of the resource utilizations of the N samples per sliding time window. Wherein A is a positive number.
Illustratively, A is 0.8 or 80% and
the sum of the number of traffic transmission layers representing the target sampling point of the sliding time window, then
Wherein the content of the first and second substances,
is the sum of the resource utilization of the N sampling points of the sliding time window.
Optionally, the sum of the number of traffic transmission layers of the second target sampling point of each sliding time window is less than: the sum of the resource utilizations of the N samples per sliding time window. Wherein A is a positive number.
And the second target sampling point is M-1 sampling points with the maximum resource utilization rate in the N sampling points of each sliding time window.
Illustratively, A is 0.8 or 80% and
representing the sum of the number of traffic transmission layers of the second target sampling point of each sliding time window, then
And determining the resource utilization rate of each sliding time window according to the sum of the resource utilization rates of the target sampling points of each sliding time window.
Alternatively, it can be based on a relational expression
Resource utilization for the sliding time window is calculated. In the relation, etameanIn order to slide the resource utilization of the time window,
the sum of the resource utilization rates of the target sampling points in the sliding time window is represented by alpha, which is a correction factor and can be 0.4.
And determining the number of the service transmission layers of each sliding time window according to the number of the service transmission layers of the target sampling point of each sliding time window.
Specifically, determining the number of traffic transmission layers of each sliding time window according to the number of traffic transmission layers of the target sampling point of each sliding time window includes: and accumulating the service transmission layer number of the target sampling point of each sliding time window to obtain the sum of the service transmission layer numbers of the target sampling points of each sliding time window. And determining the number of the service transmission layers of each sliding time window according to the sum of the number of the service transmission layers of the target sampling point of each sliding time window.
Alternatively, it can be based on a relational expression
And calculating the number of service transmission layers of the sliding time window. In the relation, CmeanThe number of traffic transmission layers for a sliding time window,
is the sum of the number of traffic transmission layers of the target sampling point of the sliding time window.
S203, the busy hour traffic transmission layer number determining device 100 determines the traffic transmission layer number of the first busy hour sliding time window.
The first busy hour sliding time window is a sliding time window with the highest resource utilization rate in a plurality of sliding time windows.
Illustratively, the resource utilization rates of a total of 139 sliding time windows and the number of service transmission layers of the total of 139 sliding time windows are respectively: etamean_iAnd Cmean_iWhere i is 1,2, … 139. Device 100 for determining the number of transmission layers of busy time traffic from { η }mean_iFind the maximum value etamean_sEta is tomean_sNumber of traffic transmission layers C of corresponding sliding time windowmean_sThe number of traffic transmission layers for the first busy hour sliding time window is determined.
S204, the busy hour service transmission layer number determining apparatus 100 determines the busy hour service transmission layer number according to the service transmission layer number of the first busy hour sliding time window.
Illustratively, the apparatus 100 for determining the number of busy hour service transmission layers determines the number of service transmission layers of the first busy hour sliding time window in a day as the number of busy hour service transmission layers of the day.
As can be seen from the above steps (S201-S204), in the embodiment of the present invention, the sliding time window is used as the statistical interval, and the number of busy service transmission layers is determined according to the number of service transmission layers in the sliding time window with the highest resource utilization rate. Therefore, the problem of how to determine the number of the service transmission layers in busy time is solved.
With reference to fig. 2, as shown in fig. 3, the method for determining the number of busy hour service transmission layers according to the embodiment of the present invention further includes:
s205, the busy hour traffic transmission layer number determining device 100 determines the traffic transmission layer number of the second busy hour sliding time window.
And the second busy hour sliding time window is a sliding time window with the highest resource utilization rate except the first busy hour sliding time window and a sliding time window with the same sampling point as the first busy hour sliding time window in the plurality of sliding time windows.
Illustratively, the apparatus 100 for determining the number of busy traffic transmission layers removes η therefrommean_q(q ═ s-5, s-4, …, s +5) { η [ ]mean_iFind the maximum value etamean_fEta is tomean_fNumber of traffic transmission layers C of corresponding sliding time windowmean_fThe number of traffic transmission layers for the sliding time window at the second busy hour is determined. Wherein eta ismean_qResource utilization for the first busy hour sliding time window and the sampling points of the sliding time window having the same sampling points as the first busy hour sliding time window.
Correspondingly, the busy hour service transmission layer number determining device 100 determines the busy hour service transmission layer number according to the service transmission layer number of the first busy hour sliding time window and the service transmission layer number of the second busy hour sliding time window.
Illustratively, the busy hour traffic transmission layer number determining apparatus 100 determines the average (or weighted average) of the traffic transmission layer number of the first busy hour sliding time window and the traffic transmission layer number of the second busy hour sliding time window in a day as the busy hour traffic transmission layer number of the day.
Optionally, the method for determining the number of layers of busy hour service transmission provided in the embodiment of the present invention further includes: and determining the number of the service transmission layers in the third busy hour and the number of the service transmission layers in the fourth busy hour … … in the Nth busy hour. In a specific embodiment, reference may be made to S205.
The method for determining the number of busy hour service transmission layers provided by the embodiment of the invention can be used for evaluating the number of busy hour service transmission layers of a new air interface (NR) system.
The scheme provided by the embodiment of the invention is mainly introduced from the perspective of a method. To implement the above functions, it includes hardware structures and/or software modules for performing the respective functions. Those of skill in the art will readily appreciate that the present invention can be implemented in hardware or a combination of hardware and computer software, with the exemplary elements and algorithm steps described in connection with the embodiments disclosed herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. 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 invention.
The embodiment of the present invention may perform the division of the functional modules for the apparatus 100 for determining the number of busy service transmission layers according to the above method example, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. It should be noted that, the division of the modules in the embodiment of the present invention is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
An embodiment of the present invention provides a device 100 for determining the number of layers of busy service transmission, configured to execute the method for determining the number of layers of busy service transmission, as shown in fig. 4, where the device 100 for determining the number of layers of busy service transmission includes: an acquisition unit 401, a first determination unit 402, a second determination unit 403, and a third determination unit 404.
The acquiring unit 401 is configured to acquire resource utilization rates and the number of service transmission layers of sampling points in multiple sliding time windows, where each sliding time window in the multiple sliding time windows includes N sampling points, and N is a positive integer. For example, in conjunction with fig. 2, the obtaining unit 401 may be configured to perform S201.
A first determining unit 402, configured to determine a resource utilization rate and a number of service transmission layers of each sliding time window according to the resource utilization rate and the number of service transmission layers of the N sampling points of each sliding time window. For example, in conjunction with fig. 2, the first determining unit 402 may be configured to perform S202.
A second determining unit 403, configured to determine the number of service transmission layers in a first busy hour sliding time window, where the first busy hour sliding time window is a sliding time window with the highest resource utilization rate in multiple sliding time windows. For example, in conjunction with fig. 2, the second determination unit 403 may be configured to perform S203.
A third determining unit 404, configured to determine the number of busy hour service transmission layers according to the number of service transmission layers of the first busy hour sliding time window. For example, in conjunction with fig. 2, the third determining unit 404 may be configured to perform S204.
The first determining unit 402 is specifically configured to: and determining a target sampling point of each sliding time window, wherein the target sampling point is M sampling points with the maximum resource utilization rate in the N sampling points of each sliding time window, and M is a positive integer. And determining the resource utilization rate of each sliding time window according to the resource utilization rate of the target sampling point of each sliding time window. And determining the number of the service transmission layers of each sliding time window according to the number of the service transmission layers of the target sampling point of each sliding time window.
As shown in fig. 4, the apparatus 100 for determining the number of busy traffic transmission layers may further include: a fourth determination unit 405.
The fourth determining unit 405 determines the number of service transmission layers in a second busy hour sliding time window, where the second busy hour sliding time window is a sliding time window with the highest resource utilization rate, except for the first busy hour sliding time window and a sliding time window with the same sampling point as the first busy hour sliding time window, in the multiple sliding time windows. For example, in conjunction with fig. 3, the fourth determination unit 405 may be configured to perform S205.
Specifically, as shown in fig. 1 and 4. The acquiring unit 401, the first determining unit 402, the second determining unit 403, the third determining unit 404 and the fourth determining unit 405 in fig. 4 call a program in the memory 103 via the communication line 102 by the processor 101 in fig. 1 to execute the above-described determination method of the number of busy-time traffic transmission layers.
It should be understood that, in various embodiments of the present invention, 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 on the implementation process of the embodiments of the present invention.
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 invention.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided by the present invention, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
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 addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention 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 invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A method for determining the number of transmission layers of a busy hour service is characterized by comprising the following steps:
acquiring the resource utilization rate and the number of service transmission layers of sampling points of a plurality of sliding time windows, wherein each sliding time window in the plurality of sliding time windows comprises N sampling points, and N is a positive integer;
determining the resource utilization rate and the number of service transmission layers of each sliding time window according to the resource utilization rate and the number of service transmission layers of the N sampling points of each sliding time window;
determining the number of service transmission layers of a first busy hour sliding time window, wherein the first busy hour sliding time window is a sliding time window with the highest resource utilization rate in the plurality of sliding time windows;
and determining the number of the busy hour service transmission layers according to the number of the service transmission layers of the first busy hour sliding time window.
2. The method of claim 1, wherein determining the resource utilization and the number of traffic transmission layers for each sliding time window according to the resource utilization and the number of traffic transmission layers for the N sampling points for each sliding time window comprises:
determining a target sampling point of each sliding time window, wherein the target sampling point is M sampling points with the maximum resource utilization rate in N sampling points of each sliding time window, and M is a positive integer;
determining the resource utilization rate of each sliding time window according to the resource utilization rate of the target sampling point of each sliding time window;
and determining the number of the service transmission layers of each sliding time window according to the number of the service transmission layers of the target sampling point of each sliding time window.
3. The method of claim 2, wherein determining the resource utilization rate of each sliding time window according to the resource utilization rate of the target sampling point of each sliding time window comprises:
accumulating the resource utilization rate of the target sampling point of each sliding time window to obtain the sum of the resource utilization rates of the target sampling points of each sliding time window;
and determining the resource utilization rate of each sliding time window according to the sum of the resource utilization rates of the target sampling points of each sliding time window.
4. The method according to claim 3, wherein determining the number of traffic transmission layers for each sliding time window according to the number of traffic transmission layers of the target sampling point for each sliding time window comprises:
accumulating the number of the service transmission layers of the target sampling point of each sliding time window to obtain the sum of the number of the service transmission layers of the target sampling point of each sliding time window;
and determining the number of the service transmission layers of each sliding time window according to the sum of the number of the service transmission layers of the target sampling point of each sliding time window.
5. The method according to claim 4, wherein the sum of the number of traffic transmission layers of the target sampling point of each sliding time window is greater than or equal to: and the sum of the resource utilization rates of the N sampling points of each sliding time window is A, wherein A is a positive number.
6. The determination method according to claim 5, characterized in that the determination method further comprises:
determining the number of service transmission layers of a second busy hour sliding time window, wherein the second busy hour sliding time window is a sliding time window with the highest resource utilization rate except the first busy hour sliding time window and a sliding time window with the same sampling point as the first busy hour sliding time window in the plurality of sliding time windows;
the determining the number of busy hour service transmission layers according to the number of service transmission layers of the first busy hour sliding time window includes:
and determining the number of the busy hour service transmission layers according to the number of the service transmission layers of the first busy hour sliding time window and the number of the service transmission layers of the second busy hour sliding time window.
7. An apparatus for determining the number of busy traffic transmission layers, comprising: the device comprises an acquisition unit, a first determination unit, a second determination unit and a third determination unit;
the acquisition unit is used for acquiring the resource utilization rate and the number of service transmission layers of the sampling points of a plurality of sliding time windows, wherein each sliding time window of the plurality of sliding time windows comprises N sampling points, and N is a positive integer;
the first determining unit is configured to determine the resource utilization rate and the number of service transmission layers of each sliding time window according to the resource utilization rate and the number of service transmission layers of the N sampling points of each sliding time window;
the second determining unit is configured to determine the number of service transmission layers in a first busy hour sliding time window, where the first busy hour sliding time window is a sliding time window with a highest resource utilization rate in the multiple sliding time windows;
and the third determining unit is configured to determine the number of layers of busy hour service transmission according to the number of layers of service transmission in the first busy hour sliding time window.
8. The determination apparatus according to claim 7, wherein the first determination unit is specifically configured to:
determining a target sampling point of each sliding time window, wherein the target sampling point is M sampling points with the maximum resource utilization rate in N sampling points of each sliding time window, and M is a positive integer;
determining the resource utilization rate of each sliding time window according to the resource utilization rate of the target sampling point of each sliding time window;
and determining the number of the service transmission layers of each sliding time window according to the number of the service transmission layers of the target sampling point of each sliding time window.
9. A device for determining the number of layers of busy service transmission, wherein the device for determining the number of layers of busy service transmission comprises: one or more processors, and a memory;
the memory is coupled with the one or more processors; the memory is configured to store computer program code comprising instructions which, when executed by the one or more processors, cause the apparatus for determining the number of busy traffic transmission layers to perform the method for determining the number of busy traffic transmission layers according to any of claims 1 to 6.
10. A computer readable storage medium comprising instructions which, when run on a busy traffic transmission layer number determining means, cause the busy traffic transmission layer number determining means to perform the method of busy traffic transmission layer number determination according to any of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010718787.0A CN111885638B (en) | 2020-07-23 | 2020-07-23 | Method and device for determining number of busy hour service transmission layers |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010718787.0A CN111885638B (en) | 2020-07-23 | 2020-07-23 | Method and device for determining number of busy hour service transmission layers |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111885638A true CN111885638A (en) | 2020-11-03 |
| CN111885638B CN111885638B (en) | 2023-03-28 |
Family
ID=73154788
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010718787.0A Active CN111885638B (en) | 2020-07-23 | 2020-07-23 | Method and device for determining number of busy hour service transmission layers |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111885638B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090313374A1 (en) * | 2008-06-12 | 2009-12-17 | International Business Machines Corporation | Dynamic Management of Resource Utilization |
| US20160057658A1 (en) * | 2014-08-19 | 2016-02-25 | Qualcomm Incorporated | Admission control and load balancing |
| WO2018071746A1 (en) * | 2016-10-13 | 2018-04-19 | Alcatel-Lucent Usa Inc. | Scheduling transmissions of adaptive bitrate streaming flows |
| CN109996258A (en) * | 2017-12-31 | 2019-07-09 | 中国移动通信集团辽宁有限公司 | Wireless network utilization appraisal procedure, calculates equipment and storage medium at device |
| CN110545133A (en) * | 2013-12-20 | 2019-12-06 | 北京三星通信技术研究有限公司 | Method and device for reporting channel state information |
-
2020
- 2020-07-23 CN CN202010718787.0A patent/CN111885638B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090313374A1 (en) * | 2008-06-12 | 2009-12-17 | International Business Machines Corporation | Dynamic Management of Resource Utilization |
| CN110545133A (en) * | 2013-12-20 | 2019-12-06 | 北京三星通信技术研究有限公司 | Method and device for reporting channel state information |
| US20160057658A1 (en) * | 2014-08-19 | 2016-02-25 | Qualcomm Incorporated | Admission control and load balancing |
| WO2018071746A1 (en) * | 2016-10-13 | 2018-04-19 | Alcatel-Lucent Usa Inc. | Scheduling transmissions of adaptive bitrate streaming flows |
| CN109996258A (en) * | 2017-12-31 | 2019-07-09 | 中国移动通信集团辽宁有限公司 | Wireless network utilization appraisal procedure, calculates equipment and storage medium at device |
Non-Patent Citations (3)
| Title |
|---|
| CMCC: "RP-191223 "Status report for SI on RAN-centric data collection and utilization for LTE and NR"", 《3GPP TSG_RAN\TSG_RAN》 * |
| 李洋: "分场景多业务类型下的疏忙门限研究", 《中国新通信》 * |
| 李通等: "基于业务感知和区域价值的4G网络容量规划研究", 《电信工程技术与标准化》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111885638B (en) | 2023-03-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111147395B (en) | Network resource adjusting method and device | |
| CN108462596B (en) | SLA decomposition method, equipment and system | |
| CN114143270B (en) | Bandwidth adjustment method and device | |
| CN111970752A (en) | Energy-saving control method and device | |
| CN111866902B (en) | Resource utilization rate evaluation method and device | |
| EP4135434A1 (en) | Method and device for determining resources | |
| CN111885638B (en) | Method and device for determining number of busy hour service transmission layers | |
| CN112020073B (en) | Cell classification method and device | |
| CN112203322A (en) | Statistical method and device for channel resource utilization rate | |
| CN111866931B (en) | Method and device for determining busy hour resource utilization rate | |
| CN112492635B (en) | Determination method and device for scheduling priority | |
| CN113938992B (en) | Threshold determining method and device | |
| CN112004248B (en) | Method and device for determining channel resource load distribution state | |
| CN111885588B (en) | Method and device for executing electronic card management service | |
| CN114337966A (en) | Wireless resource allocation method, device, computer equipment and storage medium | |
| CN112004249B (en) | Method and device for determining channel resource load distribution state | |
| CN111885625B (en) | Method and device for determining resource utilization rate | |
| CN111586752B (en) | Configuration method and device of time slot container | |
| CN112331361A (en) | Method and device for determining person in close contact | |
| CN112153679A (en) | Network switching method and device | |
| CN113381873A (en) | Capacity expansion method and related device for network equipment | |
| CN112601252B (en) | Energy-saving control method and device | |
| CN112738828B (en) | Energy-saving control method and device | |
| CN117135081A (en) | Fault determination method, device and computer readable storage medium | |
| CN113709715B (en) | Slice resource allocation method, apparatus, computer device and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |