CN116546529A - Network slice distribution method, system, storage medium and computer equipment - Google Patents
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- H—ELECTRICITY
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Abstract
The invention provides a network slice distribution method, a system, a storage medium and computer equipment, wherein the method comprises the steps of obtaining a target network slice set and a power service set, wherein the target network slice set comprises network slices, and the power service set comprises power services; calculating the average time throughput of each network slice in the target network slice set based on each power service, and obtaining the total throughput of each network slice; setting a limiting condition according to the total throughput, formulating an optimization function of each network slice based on the limiting condition, evaluating the total throughput of each network slice, determining the optimal matching strategy of each network slice and each power service, and distributing each power service to each network slice according to the optimal matching strategy. According to the invention, the total throughput of each network slice is evaluated to formulate the optimal matching strategy, so that each network slice can process the corresponding power service, and the applicability of each network slice and the working efficiency of each network slice are improved.
Description
Technical Field
The present invention relates to the field of network slice technologies, and in particular, to a network slice allocation method, a system, a storage medium, and a computer device.
Background
Driven by the growth of energy and power demand, world grids have stepped into the Smart Grid era from traditional power networks as an essential infrastructure in modern society and an energy support developed by countries, evolving into a new generation of "Smart Grid" (SG). Global mobile data traffic is currently exhibiting explosive growth. With the development of various power services, a powerful network is required to communicate during the interaction of mass data generated in a smart grid.
The network slice abstracts various physical resources in the network into virtual resources through a network virtualization technology, and constructs an end-to-end logic network according to the requirement based on a specified network function and a specific access network technology to provide one or more network services.
The 5G can support the communication requirement of the eMBB, mMTC, uRLLC three scenes, how the 5G three typical scenes are matched with the power service requirement, how the slice resources are divided, and no clear definition exists at present, so that the suitability research of the 5G typical application scenes is necessary to be carried out, and the 5G is ensured to effectively bear the power service.
The power business is divided into three main categories according to 5G scene: the control class, the information acquisition class and the mobile application class are difficult to realize the accurate division of different networks in physical terms, and as one of the key technologies of 5G, the network slicing technology considers the isolation of network logic, so that a plurality of logic networks are independent of each other, and customized services can be provided for differentiated services. The combined application of the network slice and the intelligent power grid has wide application prospect.
The network slice comprises a uRLLC slice, an eMBB slice, an mMTC slice and the like, and in the prior art, various network slices cannot be reasonably allocated in the application of power service, so that the network slice has poor applicable functionality.
Disclosure of Invention
Based on this, an object of the present invention is to provide a network slice allocation method, system, storage medium and computer device, which aims to at least solve the above-mentioned drawbacks of the related art.
The invention provides a network slice allocation method, which comprises the following steps:
acquiring a target network slice set and a power service set, wherein the target network slice set comprises all network slices, and the power service set comprises all power services;
calculating the average time throughput of each network slice in the target network slice set based on each power service, and obtaining the total throughput of each network slice, wherein each network slice comprises an eMBB slice and a uRLLC slice;
setting a limiting condition according to the total throughput, and formulating an optimization function of each network slice based on the limiting condition, wherein the optimization function is as follows:
;
;
;
;
;
;
where A represents a vector of RBs, RBs represent resource blocks, P represents a vector of power allocations,、/>representing the number of devices in said emmbc slice, the number of devices in said uRLLC slice, respectively, ">,/>M and N each represent a natural number, +.>Indicate->Resource blocks->,/>、/>Is indicated at->On gNB and device->、/>Transmission power between->Representing the device in said eMBB slice,/or->Representing the device in said uRLLC slice, wherein +.>、/>Binary variables: />、/>Respectively indicate whether or not will +>Assigned to->、/>、/>、/>Respectively representing the buffer queue length of the eMBB slice and the uRLLC slice when the service is requested,/and/or>Representing a delay constraint, rm representing throughput of the eMBB slice, t representing time, pm representing throughput in the eMBB slicePower of device, pn, represents power of device in the ul lc slice, dn represents a set of requirements of device in the ul lc slice;
and evaluating the total throughput of each network slice, determining the optimal matching strategy of each network slice and each power service, and distributing each power service to each network slice according to the optimal matching strategy.
Compared with the prior art, the invention has the beneficial effects that: the throughput total amount and the average time throughput of each network slice are calculated to obtain the amount of data which can be processed by each network slice in unit time, and then each power service is distributed to each network slice which can be processed through an optimal matching strategy, so that each network slice can process target resources in each corresponding power service according to the throughput, each network slice can effectively and rapidly process target resources in each corresponding power service, and the applicability of each network slice is effectively improved.
Further, the method further includes, after the step of obtaining the target network slice set and the power service set, where the target network slice set includes each network slice and the power service set includes each power service, the method further includes:
acquiring power service requests and/or temporary power service requests, wherein each power service comprises the power service requests and/or the temporary power service requests;
and creating a service request list of each network slice based on the power service request and/or the temporary power service request.
Further, after the step of creating the service request list of each network slice based on the power service request and/or the temporary power service request, the method further includes:
acquiring the data transmission rate of each network slice in real time;
and limiting the length of the service request list based on the data transmission rate of each network slice.
Further, the step of setting the limiting condition according to the total throughput includes:
setting a limiting condition according to the total throughput so that each network slice meets the limiting condition, and optimizing each network slice;
based on the constraint, the average time throughput is extended to a maximum limit of the constraint.
Further, the step of formulating an optimization function for each network slice based on the constraint condition includes:
the limiting conditions include RB and power;
and formulating an optimization function based on the limiting conditions so that each network slice meets the limiting conditions.
In another aspect, the present invention also proposes a network slice allocation system, the system comprising:
the first acquisition module is used for acquiring a target network slice set and a power service set, wherein the target network slice set comprises all network slices, and the power service set comprises all power services;
the calculation module is used for calculating the average time throughput of each network slice in the target network slice set based on each power service, and obtaining the total throughput of each network slice, wherein each network slice comprises an eMBB slice and a uRLLC slice;
the optimization module is used for setting a limiting condition according to the total throughput and formulating an optimization function of each network slice based on the limiting condition;
and the evaluation and distribution module is used for evaluating the total throughput of each network slice, determining the optimal matching strategy of each network slice and each power service, and distributing each power service to each network slice according to the optimal matching strategy.
Further, the system further comprises:
the second acquisition module is used for acquiring power service requests and/or temporary power service requests, wherein each power service comprises the power service requests and/or the temporary power service requests;
the creation module is used for creating a service request list of each network slice based on the power service request and/or the temporary power service request;
the third acquisition module is used for acquiring the data transmission rate of each network slice in real time;
and the limiting module is used for limiting the length of the service request list based on the data transmission rate of each network slice.
Further, the system further comprises:
the setting module is used for setting a limiting condition according to the total throughput so that each network slice meets the limiting condition and optimizing each network slice;
and the amplifying module is used for amplifying the average time throughput to the maximum limit value of the limiting condition based on the limiting condition.
Another invention also provides a storage medium having stored thereon a computer program which when executed by a processor implements the network slice allocation method described above.
The invention also provides a computer device, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor realizes the network slice allocation method when executing the program.
Drawings
FIG. 1 is a flowchart of a network slice allocation method according to a first embodiment of the present invention;
FIG. 2 is a diagram illustrating the impact of different resource allocation schemes on slice throughput in a first embodiment of the present invention;
FIG. 3 is a flowchart of a network slice allocation method according to a second embodiment of the present invention;
FIG. 4 is a block diagram of a network slice distribution system according to a third embodiment of the present invention;
fig. 5 is a block diagram of a computer device in a fourth embodiment of the present invention.
Description of main reference numerals:
,
the invention will be further described in the following detailed description in conjunction with the above-described figures.
Detailed Description
In order that the invention may be readily understood, a more complete description of the invention will be rendered by reference to the appended drawings. Several embodiments of the invention are presented in the figures. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
It will be understood that when an element is referred to as being "mounted" on another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like are used herein for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
Example 1
Referring to fig. 1, a network slice allocation method according to a first embodiment of the present invention is shown, and the method specifically includes steps S101 to S104:
s101, acquiring a target network slice set and a power service set, wherein the target network slice set comprises all network slices, and the power service set comprises all power services;
specifically, when a user who needs to use electric energy sends a service request to a power supply enterprise such as a national network by using a user terminal, a power service set is generated at this time, each power service in the power service set is acquired, in this process, each network slice for processing each power service is acquired, and in specific implementation, each network slice for processing each power service, preferably a 5G network slice, is acquired.
S102, calculating average time throughput of each network slice in the target network slice set based on each power service, and obtaining total spitting and swallowing amounts of each network slice, wherein each network slice comprises an eMBB slice and a uRLLC slice;
in the specific implementation, in the process of processing each power service by each network slice, since most of data is bursty and time is high and low when each network slice receives processing data, the average time throughput of each network slice in the process of processing each power service by each network slice is calculated, and the total throughput of each network slice is obtained.
Specifically, in the present embodiment, the simulation parameters of the eMBB slice and the wrlc slice are set as shown in table 1:
in the table 1 of the description,
,
s103, setting a limiting condition according to the total throughput, and formulating an optimization function of each network slice based on the limiting condition, wherein the optimization function is as follows:
;
;
;
;
;
;
where A represents a vector of RBs, RBs represent resource blocks, P represents a vector of power allocations,、/>representing the number of devices in said emmbc slice, the number of devices in said uRLLC slice, respectively, ">,/>M and N each represent a natural number, +.>Indicate->Resource blocks->,/>、/>Is indicated at->gNB and apparatus、/>Transmission power between->Representing the device in said eMBB slice,/or->Representing the device in said uRLLC slice, wherein +.>、/>Binary variables: />、/>Respectively indicate whether or not will +>Assigned to、/>、/>、/>Respectively representing the buffer queue length of the eMBB slice and the uRLLC slice when the service is requested,/and/or>Representing a delay constraint, rm representing throughput of the eMBB slice, t representing time, pm representing power of devices in the eMBB slice, pn representing power of devices in the uRLLC slice, dn representing power in the uRLLC sliceIs a set of requirements for the device;
it should be explained that, after the network slices are optimized, the length of the service request list can be processed by determining that each network slice meets the requirements of time delay and the like, so that each network slice is more efficient and reliable in processing the power service request.
S104, evaluating the total throughput of each network slice, determining the optimal matching strategy of each network slice and each power service, and distributing each power service to each network slice according to the optimal matching strategy;
in the implementation, after the total throughput of each network slice is calculated, that is, the number of successful transmission data of each network slice in unit time is obtained, the power service suitable for processing of each network slice is evaluated, and because of different power services, the number of the required processing data is also different, and the optimal matching strategy of each network slice and each power service is designated according to the number of the successful transmission data of each network slice in unit time, so that each network slice can process the corresponding power service, thereby effectively improving the capability of each network slice for processing data and further effectively improving the applicability of each network slice.
Further, each power service is processed through each network slice, so that each power service is isolated, the speed of processing each power service is effectively improved, the problem that the efficiency of processing the power service is reduced due to overhigh processing time delay is avoided, and the isolated network slices are not affected each other, so that each network slice is more reliable in the process of processing each power service.
It should be noted that, in this embodiment, when each power service is allocated to each network slice, an RA-DT algorithm is adopted to perform allocation, specifically, allocation is performed based on the proposed RA-DT algorithm, and the effects of the two conventional schemes on the throughput of the eMBB slice and the ul lc slice are evaluated, and referring to fig. 2, a schematic diagram of the effects of the simulation parameters set by the eMBB slice and the ul lc slice on the throughput of each network slice under different resources is shown in this embodiment.
In summary, in the network slice allocation method in the above embodiment of the present invention, firstly, a slice set and a power service set of a target network are obtained to obtain each power service and each network slice for processing each power service, then, by calculating an average time throughput of each network slice and a total throughput of each network slice based on each power service, that is, a number of data transmitted by each network slice in unit time, then, according to a data volume of each power service, the total throughput of each network slice is evaluated, an optimal matching policy of each network slice and each power service is determined, so that each network slice can process each power service corresponding to each network slice, and then, each power service is allocated to each network slice according to the optimal matching policy, so that each network slice can efficiently process the corresponding power service, and efficiency of processing transmission data of each network slice is effectively improved, and a "dedicated network" can be created according to a power service type to meet different quality of power service (QoS) requirements of different users, thereby providing better service requirements for users.
Example two
Referring to fig. 3, a network slice allocation method according to a second embodiment of the present invention is shown, and the method includes steps S201 to S209:
s201, acquiring a target network slice set and a power service set, wherein the target network slice set comprises all network slices, and the power service set comprises all power services;
specifically, when a user who needs to use electric energy sends a service request to a power supply enterprise such as a national network by using a user terminal, a power service set is generated at this time, and each power service in the power service set is acquired, in this process, each network slice for processing each power service is acquired, and in specific implementation, each network slice for processing each power service, preferably a 5G network slice, in this embodiment, each network slice includes an eMBB slice and a ullc slice, where the eMBB slice serves enhanced mobile broadband services similar to unmanned aerial vehicle inspection, video monitoring, and the ullc slice serves ultra-high reliable, low-latency, and other services similar to power distribution automation.
S202, acquiring an electric power service request and/or a temporary electric power service request, wherein each electric power service comprises the electric power service request and/or the temporary electric power service request;
in a specific implementation, after the power service set is acquired, the power service request and/or the temporary power service request are acquired in the power service set, it can be understood that the data volume required to be transmitted by the two power service requests is different, the data volume in the temporary power service request is smaller, the data volume in the non-temporary power service request is larger, and the requirements of the two services on the time delay are also different, the temporary power service request may need to be processed very quickly, so that the requirements on the time delay of the temporary power service request may be lower, the non-temporary power service request has a certain buffer time, so that the requirements on the time delay have a certain tolerance, and the time delay of the non-temporary power service request may be higher than the time delay of the temporary power service request.
S203, creating a service request list of each network slice based on the power service request and/or the temporary power service request;
in particular implementations, the power service request and/or the temporary power service request require a network slice to be processed, and before processing, a service request list is created according to the time when the power service request and/or the temporary power service request is received, so as to achieve a "make before go" procedure, so that the network slice is processed according to the receiving time when the power service request and/or the temporary power service is processed.
S204, acquiring the data transmission rate of each network slice in real time;
s205, limiting the length of the service request list based on the data transmission rate of each network slice;
in a specific implementation, since the processing rate of the server is limited, in order to ensure the quality of service (QoS), the network slice has to reject the arrival of a new power service request, so that the existing power service request tends to be in a stable state, and waits for the processing of the network slice, otherwise, the requirements of low delay and high reliability of the network slice cannot be met, so that the length of a service request list needs to be limited, and the unstable situation caused by the fact that the processing of the network slice is not finished is avoided.
S206, calculating average time throughput of each network slice in the target network slice set based on each power service, and obtaining total throughput of each network slice, wherein each network slice comprises an eMBB slice and a uRLLC slice;
s207, setting a limiting condition according to the total throughput so that each network slice meets the limiting condition, and optimizing each network slice;
s208, expanding the average time throughput to the maximum limit value of the limiting condition based on the limiting condition;
specifically, the constraint includes RB (resource block) and power, and an optimization function is specified based on the constraint, so that each network slice satisfies the constraint,
in particular, in this embodiment, each network slice includes an eMBB slice and a ul lc slice, and each network slice is required to satisfy the RB and power constraints, so that,Wherein, A represents RB, P represents a power distribution vector, and each network slice randomly optimizes a problem function specifically formulated as follows:
;
;
;
;
;
;
where A represents a vector of RBs, RBs represent resource blocks, P represents a vector of power allocations,、/>representing the number of devices in said emmbc slice, the number of devices in said uRLLC slice, respectively, ">,/>M and N each represent a natural number, +.>Indicate->Resource blocks->,/>、/>Is indicated at->On gNB and device->、/>Transmission power between->Representing the device in said eMBB slice,/or->Representing the device in said uRLLC slice, wherein +.>、/>Binary variables: />、/>Respectively indicate whether or not will +>Assigned to->、/>、/>、/>Respectively representing the buffer queue length of the eMBB slice and the uRLLC slice when the service is requested,/and/or>Representing a delay constraint, rm representing throughput of the eMBB slice, t representing time, pm representing power of devices in the eMBB slice, pn representing power of devices in the uRLLC slice, dn representing a set of requirements of devices in the uRLLC sliceCombining;
it should be explained that, after the network slices are optimized, the length of the service request list can be processed by determining that each network slice meets the requirements of time delay and the like, so that each network slice is more efficient and reliable in processing the power service request.
S209, evaluating the total throughput of each network slice, determining the best matching strategy of each network slice and each power service, and distributing each power service to each network slice according to the best matching strategy;
in the implementation, each network slice is optimized, the length of a power service request list which can be processed when each network slice meets the time delay requirement is determined, then the total throughput of each network slice is calculated, the total throughput of each network slice is evaluated, and the optimal matching strategy of each network slice and each power service is determined, so that each network slice can process each power service corresponding to each network slice, each power service is distributed to each network slice according to the optimal matching strategy, each network slice can efficiently process the corresponding power service, the efficiency of processing transmission data of the network slice is effectively improved, a special network can be created according to the type of the power service, and different service quality (QoS) requirements in different power service scenes are met, so that better service is provided for users.
In summary, compared with the first embodiment, the network slice allocation method in the above embodiment of the present invention can set a constraint condition based on the total throughput, so that each network slice is optimized after meeting the constraint condition, so that the length of the power service request list processed by each network slice under the condition that each network slice meets the delay requirement is determined, and each network slice can meet the quality of service (QoS) to process each power service.
Example III
The present invention also proposes a network slice allocation system, please refer to fig. 4, which shows a network slice allocation system according to a third embodiment of the present invention, the system includes:
a first obtaining module 11, configured to obtain a target network slice set and a power service set, where the target network slice set includes network slices, and the power service set includes power services;
a calculating module 12, configured to calculate, based on the power services, an average time throughput of each network slice in the target network slice set, and obtain a total throughput of each network slice, where each network slice includes an eMBB slice and a uillc slice;
an optimization module 13, configured to set a constraint condition according to a total throughput, and formulate an optimization function of each network slice based on the constraint condition, where the optimization function is:
;
;
;
;
;
;
where A represents a vector of RBs, RBs represent resource blocks, P represents a vector of power allocations,、/>representing the number of devices in the eMBB slice, the uRLLC slice, respectivelyNumber of devices in a tablet, < > and >>,/>M and N each represent a natural number, +.>Indicate->Resource blocks->,/>、/>Is indicated at->On gNB and device->、/>Transmission power between->Representing the device in said eMBB slice,/or->Representing the device in said uRLLC slice, wherein +.>、/>Binary variables: />、/>Respectively indicate whether or not will +>Assigned to->、/>、/>、/>Respectively representing the buffer queue length of the eMBB slice and the uRLLC slice when the service is requested,/and/or>Representing a delay constraint, rm representing throughput of the eMBB slice, t representing time, pm representing power of devices in the eMBB slice, pn representing power of devices in the ul lc slice, dn representing a set of requirements of devices in the ul lc slice;
an evaluation and distribution module 14 is configured to evaluate the total throughput of each network slice, determine a best matching policy of each network slice with each power service, and distribute each power service to each network slice according to the best matching policy.
In some embodiments, the system further comprises:
the second acquisition module is used for acquiring power service requests and/or temporary power service requests, wherein each power service comprises the power service requests and/or the temporary power service requests;
the creation module is used for creating a service request list of each network slice based on the power service request and/or the temporary power service request;
the third acquisition module is used for acquiring the data transmission rate of each network slice in real time;
and the limiting module is used for limiting the length of the service request list based on the data transmission rate of each network slice.
In some alternative embodiments, the system further comprises:
the setting module is used for setting a limiting condition according to the total throughput so that each network slice meets the limiting condition and optimizing each network slice;
and the amplifying module is used for amplifying the average time throughput to the maximum limit value of the limiting condition based on the limiting condition.
The modules and units are implemented to perform functions or operation steps that are substantially the same as those of the method embodiments described above, and are not described herein.
The network slice distribution system provided by the embodiment of the invention has the same implementation principle and technical effects as those of the embodiment of the method, and for the sake of brevity, the embodiment of the system is not mentioned, and reference is made to the corresponding content in the foregoing embodiment.
Example IV
The present invention also proposes a computer device, referring to fig. 5, which shows a computer device according to a fourth embodiment of the present invention, including a memory 10, a processor 20, and a computer program 30 stored in the memory 10 and capable of running on the processor 20, where the processor 20 implements the network slice allocation method described above when executing the computer program 30.
The memory 10 includes at least one type of storage medium including flash memory, a hard disk, a multimedia card, a card memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. Memory 10 may in some embodiments be an internal storage unit of a computer device, such as a hard disk of the computer device. The memory 10 may also be an external storage device in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card), etc. Further, the memory 10 may also include both internal storage units and external storage devices of the computer apparatus. The memory 10 may be used not only for storing application software installed in a computer device and various types of data, but also for temporarily storing data that has been output or is to be output.
The processor 20 may be, in some embodiments, an electronic control unit (Electronic Control Unit, ECU), a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller, a microprocessor, or other data processing chip, for executing program codes or processing data stored in the memory 10, such as executing an access restriction program, or the like.
It should be noted that the structure shown in fig. 5 does not constitute a limitation of the computer device, and in other embodiments, the computer device may include fewer or more components than shown, or may combine certain components, or may have a different arrangement of components.
The embodiment of the invention also provides a storage medium, on which a computer program is stored, which when executed by a processor implements a network slice allocation method as described above.
Those of skill in the art will appreciate that the logic and/or steps represented in the flow diagrams or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (10)
1. A network slice allocation method, the method comprising:
acquiring a target network slice set and a power service set, wherein the target network slice set comprises all network slices, and the power service set comprises all power services;
calculating the average time throughput of each network slice in the target network slice set based on each power service, and obtaining the total throughput of each network slice, wherein each network slice comprises an eMBB slice and a uRLLC slice;
setting a limiting condition according to the total throughput, and formulating an optimization function of each network slice based on the limiting condition, wherein the optimization function is as follows:
;
;
;
;
;
;
where A represents a vector of RBs, RBs represent resource blocks, P represents a vector of power allocations,、/>representing the number of devices in said emmbc slice, the number of devices in said uRLLC slice, respectively, ">,/>M and N each represent a natural number, +.>Indicate->Resource blocks->,/>、/>Is indicated at->gNB and apparatus、/>Transmission power between->Representing the device in said eMBB slice,/or->Representing the device in said uRLLC slice, wherein +.>、/>Binary variables: />、/>Respectively indicate whether or not will +>Assigned to、/>、/>、/>Respectively representing the buffer queue length of the eMBB slice and the uRLLC slice when the service is requested,/and/or>Representing a delay constraint, rm representing throughput of the eMBB slice, t representing time, pm representing power of devices in the eMBB slice, pn representing power of devices in the ul lc slice, dn representing a set of requirements of devices in the ul lc slice;
and evaluating the total throughput of each network slice, determining the optimal matching strategy of each network slice and each power service, and distributing each power service to each network slice according to the optimal matching strategy.
2. The network slice allocation method according to claim 1, wherein the acquiring a target network slice set and a power traffic set, the target network slice set including each network slice, the power traffic set including each power traffic, the method further comprising, after the step of:
acquiring power service requests and/or temporary power service requests, wherein each power service comprises the power service requests and/or the temporary power service requests;
and creating a service request list of each network slice based on the power service request and/or the temporary power service request.
3. The network slice allocation method according to claim 2, wherein after the step of creating the service request list of each network slice based on the power service request and/or the temporary power service request, the method further comprises:
acquiring the data transmission rate of each network slice in real time;
and limiting the length of the service request list based on the data transmission rate of each network slice.
4. The network slice allocation method according to claim 1, wherein the step of setting a limit condition according to the total throughput comprises:
setting a limiting condition according to the total throughput so that each network slice meets the limiting condition, and optimizing each network slice;
based on the constraint, the average time throughput is extended to a maximum limit of the constraint.
5. The network slice allocation method according to claim 1, wherein the step of formulating an optimization function for each network slice based on the constraint condition comprises:
the limiting conditions include RB and power;
and formulating an optimization function based on the limiting conditions so that each network slice meets the limiting conditions.
6. A network slice allocation system, the system comprising:
the first acquisition module is used for acquiring a target network slice set and a power service set, wherein the target network slice set comprises all network slices, and the power service set comprises all power services;
the calculation module is used for calculating the average time throughput of each network slice in the target network slice set based on each power service, and obtaining the total throughput of each network slice, wherein each network slice comprises an eMBB slice and a uRLLC slice;
the optimization module is used for setting a limiting condition according to the total throughput and formulating an optimization function of each network slice based on the limiting condition;
and the evaluation and distribution module is used for evaluating the total throughput of each network slice, determining the optimal matching strategy of each network slice and each power service, and distributing each power service to each network slice according to the optimal matching strategy.
7. The network slice allocation system of claim 6, wherein the system further comprises:
the second acquisition module is used for acquiring power service requests and/or temporary power service requests, wherein each power service comprises the power service requests and/or the temporary power service requests;
the creation module is used for creating a service request list of each network slice based on the power service request and/or the temporary power service request;
the third acquisition module is used for acquiring the data transmission rate of each network slice in real time;
and the limiting module is used for limiting the length of the service request list based on the data transmission rate of each network slice.
8. The network slice allocation system of claim 6, wherein the system further comprises:
the setting module is used for setting a limiting condition according to the total throughput so that each network slice meets the limiting condition and optimizing each network slice;
and the amplifying module is used for amplifying the average time throughput to the maximum limit value of the limiting condition based on the limiting condition.
9. A storage medium having stored thereon a computer program, which when executed by a processor implements a network slice allocation method according to any one of claims 1 to 5.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the network slice allocation method of any one of claims 1-5 when the program is executed by the processor.
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