CN115941488A - Network slice configuration method and system - Google Patents
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Abstract
The invention discloses a network slice configuration method and a system; the method comprises the steps of obtaining service requirements of a user; the service requirements of the user comprise: the number of service connections, the service rate, the service delay and the service reliability; constructing a resource configuration cost model based on the carrier frequency of the wireless access network, the UPF processing capacity of the core network, the handling capacity of the UPF of the core network, the number of SPN ports of the transmission network and the resource configuration condition of a CPU/GPU of the cloud platform; constructing a target function based on a resource configuration cost model, and constructing a constraint condition based on the service requirement of a user so as to realize the lowest resource configuration cost under the condition of meeting the service requirement of the user; solving the objective function, and determining the slice communication and the requirement for calculating the resource allocation scale corresponding to the lowest resource allocation cost; and carrying out network slice configuration by combining the real-time state of the network element based on the slice communication and the requirement for calculating the resource configuration scale corresponding to the lowest resource configuration cost.
Description
Technical Field
The present invention relates to the field of mobile communications technologies, and in particular, to a network slice configuration method and system.
Background
The statements in this section merely provide background information related to the present disclosure and may not constitute prior art.
In the 5G era, networks will be oriented to three types of application scenarios: enhanced mobile broadband (eMBB), massive Internet of things (mMTC) and low-latency high-reliability (uRLLC). The three application scenarios have large differences in network requirements. To better meet the above scenario requirements, network slicing techniques are introduced. The network slice configuration is mainly performed by better matching the service requirement with the slice resource configuration through various algorithms and functions (such as neural network algorithm, reward function, and the like). The method can realize better matching of the service requirements and the slice configuration resources, and improves the utilization efficiency of the resources. However, under the requirements of "high quality development" and "speed and cost reduction" of the society, operators pay more and more attention to the benefits of the network, and hope to reduce the network cost as much as possible on the premise of meeting the business requirements.
Disclosure of Invention
In order to solve the defects of the prior art, the invention provides a network slice configuration method and a system; by building a resource configuration cost model, the network slice configuration problem is converted into the problem of solving the lowest network resource cost under the condition of meeting the service requirement, and the benefit of network slice configuration is further improved.
In a first aspect, the present invention provides a network slice configuration method;
a network slice configuration method, comprising:
acquiring the service requirement of a user; the service requirements of the user comprise: the number of service connections, the service rate, the service delay and the service reliability;
constructing a resource configuration cost model based on the carrier frequency of the wireless access network, the UPF processing capacity of the core network, the handling capacity of the UPF of the core network, the number of SPN ports of the transmission network and the resource configuration condition of a CPU/GPU of the cloud platform;
constructing a target function based on a resource configuration cost model, and constructing a constraint condition based on the service requirement of a user so as to realize the lowest resource configuration cost under the condition of meeting the service requirement of the user;
solving the objective function, and determining the slice communication and the calculation resource configuration scale requirement corresponding to the lowest resource configuration cost;
and carrying out network slice configuration by combining the real-time state of the network element based on the slice communication and the requirement for calculating the resource configuration scale corresponding to the lowest resource configuration cost.
In a second aspect, the present invention provides a network slice configuration system;
a network slice configuration system comprising:
an acquisition module configured to: acquiring the service requirement of a user; the service requirements of the user comprise: the number of service connections, the service rate, the service delay and the service reliability;
a model building module configured to: constructing a resource configuration cost model based on the carrier frequency of the wireless access network, the UPF processing capacity of the core network, the handling capacity of the UPF of the core network, the number of SPN ports of the transmission network and the resource configuration condition of a CPU/GPU of the cloud platform;
a function building module configured to: constructing a target function based on a resource configuration cost model, and constructing a constraint condition based on the service requirement of a user so as to realize the lowest resource configuration cost under the condition of meeting the service requirement of the user;
a solving module configured to: solving the objective function, and determining the slice communication and the requirement for calculating the resource allocation scale corresponding to the lowest resource allocation cost;
a slice configuration module configured to: and carrying out network slice configuration by combining the real-time state of the network element based on the slice communication and the requirement for calculating the resource configuration scale corresponding to the lowest resource configuration cost.
In a third aspect, the present invention further provides an electronic device, including:
a memory for non-transitory storage of computer readable instructions; and
a processor for executing the computer readable instructions,
wherein the computer readable instructions, when executed by the processor, perform the method of the first aspect.
In a fourth aspect, the present invention also provides a storage medium, non-transitory computer readable instructions, wherein the non-transitory computer readable instructions, when executed by a computer, perform the instructions of the method of the first aspect.
In a fifth aspect, the invention also provides a computer program product comprising a computer program for implementing the method of the first aspect when run on one or more processors.
Compared with the prior art, the invention has the beneficial effects that:
by building a resource configuration cost model, the network slice configuration problem is converted into the problem of solving the lowest network resource cost under the condition of meeting the service requirement, the benefit of network slice resource configuration is further improved, and the network cost is reduced as much as possible on the premise of meeting the service requirement.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
FIG. 1 is a flowchart of a method according to a first embodiment.
Detailed Description
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. 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.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, and it should be understood that the terms "comprises" and "comprising", and any variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
All data are legally applied to the data on the basis of meeting laws and regulations and user consent.
Interpretation of terms:
UPF, where the text is interpreted as a User Plane Function, which is known in English as User Plane Function;
SPN, wherein the text is interpreted as a sliced Packet Network, which is known in english as sliding Packet Network;
CPU, wherein the text is interpreted as Central Processing Unit, which is called Central Processing Unit in English;
a GPU, wherein the text is interpreted as a graphics processor, and the English is called Graphic Processing Unit;
RRC, the text of which is interpreted as Radio Resource Control, is called Radio Resource Control in english.
Example one
The embodiment provides a network slice configuration method;
as shown in fig. 1, a network slice configuration method includes:
s101: acquiring the service requirement of a user; the service requirements of the user comprise: the number of service connections, the service rate, the service delay and the service reliability;
s102: constructing a resource configuration cost model based on the carrier frequency of the wireless access network, the UPF processing capacity of the core network, the handling capacity of the UPF of the core network, the number of SPN ports of the transmission network and the resource configuration condition of a CPU/GPU of the cloud platform;
s103: constructing a target function based on the resource allocation cost model, and constructing a constraint condition based on the service requirement of the user so as to realize the lowest resource allocation cost under the constraint condition of meeting the service requirement of the user;
s104: solving the objective function, and determining the slice communication and the requirement for calculating the resource allocation scale corresponding to the lowest resource allocation cost;
s105: and carrying out network slice configuration by combining the real-time state of the network element based on the slice communication and the requirement for calculating the resource configuration scale corresponding to the lowest resource configuration cost.
Further, the network slice configuration comprises: the method comprises the steps of wireless access network configuration, core network configuration, transmission network configuration and cloud platform configuration.
Further, the S102: constructing a resource configuration cost model based on the carrier frequency of the wireless access network, the UPF processing capacity of the core network, the throughput capacity of the UPF of the core network, the SPN port number of the transmission network and the resource configuration condition of the CPU/GPU of the cloud platform, wherein the resource configuration cost model is expressed as:
C＝F n *β i +UPF c *β j +UPF t *β k +∑ n SPN n *β n +CG n *β l (1)
wherein C is the resource allocation cost, F n For configuring the carrier frequency, UPF c Processing power configured for a core network UPF, UPF t Throughput capability, SPN, configured for core network UPF n For the number of SPN ports, CG, of the transport network to be configured n And the number of CPUs/GPUs configured for the cloud platform.β i To configure the cost of a single carrier, beta j For configuration of core network UPF Single processing capability cost, β k For configuring core network UPF single throughput capability cost, beta n SPN Single Port cost, beta, for a configured transport network l Cost of configuring a single CPU/GPU for the cloud platform.
Illustratively, the processing power and throughput of a core network UPF configuration, e.g., the processing power of a session of E9000H-4UPF is 20 ten thousand PDUs (Packet Data Unit) at maximum, and the busy hour throughput is 100Gbps at maximum.
Further, the number of service connections is related to the number of RRC connections configured by the radio access network and the processing capability configured by the core network UPF, and an expression of the number N of service connections supported by the network resource configuration is as follows:
N＝min(RRC,UPF c ) (2)
wherein, the RRC is the RRC connection number configured by the radio access network, and the RRC connection number is expressed as:
RRC＝F n *K n (3)
wherein, F n For configuring the carrier frequency, K n Configuring the number of RRC connections supported by a single carrier frequency.
Further, the service rate is related to the rate of the radio access network, the throughput capability of the core network UPF, and the transmission bandwidth of the transmission network SPN, and a service rate V expression supported by the network resource configuration is as follows:
V＝min(V t ,UPF t ,SPN t ) (4)
wherein, V t Is the rate of the radio access network.
V t The expression is as follows:
V t ＝F n *K b *log 2 (1+S/N) (5)
wherein, K b In order to configure the spectrum width of the single carrier frequency, S is the signal power, and N is the noise power.
Transmission bandwidth SPN configured for a transmission network SPN t The expression is as follows:
SPN t ＝∑ n SPN n *L n (6)
wherein L is n For corresponding SPN n Port bandwidth.
Further, the service delay is related to the rate of the wireless access network, the throughput capability of the UPF of the core network, the transmission rate of the transmission network SPN, and the cloud platform computing rate, and the delay expression supported by the network resource configuration is as follows:
wherein T is time delay, W is service capacity, and single CPU/GPU processing speed is configured for the cloud platform.
Further, the service reliability is related to a carrier frequency utilization rate, a core network UPF utilization rate, a transmission network SPN utilization rate, and a cloud platform computing resource utilization rate, and a service reliability expression supported by network resource configuration is as follows:
wherein R is service reliability, W p Traffic to be handled during busy hours, F l Handling traffic, alpha, for single carrier frequency busy i 、α j 、α k 、α l Reliability coefficients of a wireless network, a core network, a transmission network and a cloud platform, gamma p And configuring the processing speed of the single CPU/GPU in busy hours for the cloud platform.
Further, the step S103: constructing an objective function based on the resource configuration cost model, and constructing a constraint condition based on the service requirement of the user to realize the lowest resource configuration cost under the condition of meeting the service requirement of the user, wherein the objective function and the constraint condition have the following expression:
min(F n * i +PF c * j +PF t * k +∑ n SP n * n +G n * l )(9)
s.t.
N>N r (10)
V>V r (11)
T<T r (12)
R>R r (13)
N r indicating the number of service connections required, V r Indicating traffic rate requirement, T r Representing the traffic delay requirement, R r Representing the business reliability requirements.
Further, the S104: solving the objective function, and determining the slice communication and calculation resource configuration scale requirements corresponding to the lowest resource configuration cost, specifically comprising:
and solving the objective function by adopting a particle swarm algorithm, and determining the corresponding slice communication and calculation resource configuration scale requirements when the resource configuration cost is the lowest.
Further, the S105: based on slice communication and resource configuration scale calculation requirements corresponding to the lowest resource configuration cost, network slice configuration is performed in combination with a network element real-time state, and the method specifically comprises the following steps:
network element real-time status information, including but not limited to: network element availability, network element service range, network element communication resource load and network element computing resource load;
and preferentially selecting the network element with small load as a target network element to execute network slice configuration under the conditions that the network element is available and the service range is met.
Example two
The embodiment provides a network slice configuration system;
a network slice configuration system, comprising:
an acquisition module configured to: acquiring the service requirement of a user; the service requirements of the user comprise: the number of service connections, the service rate, the service delay and the service reliability;
a model building module configured to: constructing a resource configuration cost model based on the carrier frequency of a wireless access network, the UPF processing capacity of a core network, the throughput capacity of the UPF of the core network, the number of SPN ports of a transmission network and the resource configuration condition of a CPU/GPU of a cloud platform;
a function building module configured to: constructing a target function based on a resource configuration cost model, and constructing a constraint condition based on the service requirement of a user so as to realize the lowest resource configuration cost under the constraint condition of meeting the service requirement of the user;
a solving module configured to: solving the objective function, and determining the slice communication and the calculation resource configuration scale requirement corresponding to the lowest resource configuration cost;
a slice configuration module configured to: and carrying out network slice configuration by combining the real-time state of the network element based on the slice communication and the requirement for calculating the resource configuration scale corresponding to the lowest resource configuration cost.
It should be noted here that the above-mentioned obtaining module, model building module, function building module, solving module and slice configuration module correspond to steps S101 to S105 in the first embodiment, and the above-mentioned modules are the same as the examples and application scenarios realized by the corresponding steps, but are not limited to the contents disclosed in the first embodiment. It should be noted that the modules described above as part of a system may be implemented in a computer system such as a set of computer-executable instructions.
In the foregoing embodiments, the descriptions of the embodiments have different emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
The proposed system can be implemented in other ways. For example, the above-described system embodiments are merely illustrative, and for example, the division of the above-described modules is merely a logical division, and in actual implementation, there may be other divisions, for example, multiple modules may be combined or integrated into another system, or some features may be omitted, or not executed.
EXAMPLE III
The present embodiment further provides an electronic device, including: one or more processors, one or more memories, and one or more computer programs; wherein, a processor is connected with the memory, the one or more computer programs are stored in the memory, and when the electronic device runs, the processor executes the one or more computer programs stored in the memory, so as to make the electronic device execute the method according to the first embodiment.
It should be understood that in this embodiment, the processor may be a central processing unit CPU, and the processor may also be other general purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, off-the-shelf programmable gate arrays FPGA or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and so on. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may include both read-only memory and random access memory, and may provide instructions and data to the processor, and a portion of the memory may also include non-volatile random access memory. For example, the memory may also store device type information.
In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software.
The method in the first embodiment may be directly implemented by a hardware processor, or may be implemented by a combination of hardware and software modules in the processor. The software modules may be located in ram, flash, rom, prom, or eprom, registers, among other storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and combines hardware thereof to complete the steps of the method. To avoid repetition, it is not described in detail here.
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.
Example four
The present embodiments also provide a computer-readable storage medium for storing computer instructions, which when executed by a processor, perform the method of the first embodiment.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A network slice configuration method is characterized by comprising the following steps:
acquiring the service requirement of a user; the service requirements of the user comprise: the number of service connections, the service rate, the service delay and the service reliability;
constructing a resource configuration cost model based on the carrier frequency of the wireless access network, the UPF processing capacity of the core network, the handling capacity of the UPF of the core network, the number of SPN ports of the transmission network and the resource configuration condition of a CPU/GPU of the cloud platform;
constructing a target function based on a resource configuration cost model, and constructing a constraint condition based on the service requirement of a user so as to realize the lowest resource configuration cost under the condition of meeting the service requirement of the user;
solving the objective function, and determining the slice communication and the requirement for calculating the resource allocation scale corresponding to the lowest resource allocation cost;
and carrying out network slice configuration by combining the real-time state of the network element based on the slice communication and the requirement of calculating the resource configuration scale corresponding to the lowest resource configuration cost.
2. The method as claimed in claim 1, wherein the resource allocation cost model is constructed based on the carrier frequency of the radio access network, the UPF processing capability of the core network, the throughput capability of the UPF of the core network, the number of SPN ports of the transmission network, and the resource allocation condition of the CPU/GPU of the cloud platform, wherein the resource allocation cost model is expressed as:
C＝F n *β i +UPF c *β j +UPF t *β k +∑ n SPN n *β n +CG n *β l (1)
wherein C is the resource allocation cost, F n For configuring the carrier frequency, UPF c Processing power configured for a core network UPF, UPF t Throughput capability, SPN, configured for core network UPF n For the number of SPN ports, CG, of the transport network to be configured n The number of CPUs/GPUs configured for the cloud platform; beta is a i To allocate the cost of a single carrier, beta j For configuring core network UPF single processing capacity cost, beta k To configure core network UPF Single throughput capability cost, β n SPN Single Port cost, beta, for a configured transport network l Cost of configuring a single CPU/GPU for the cloud platform.
3. The method as claimed in claim 1, wherein the number of service connections, related to the number of RRC connections configured by the radio access network and the processing capability configured by the UPF of the core network, is expressed as:
N＝min(RRC，UPF c ) (2)
wherein, the RRC is the RRC connection number configured by the radio access network, and the RRC connection number is expressed as:
RRC＝F n *K n (3)
wherein, F n To configure the carrier frequency number, K n Configuring the number of RRC connections supported by a single carrier frequency.
4. The method as claimed in claim 1, wherein the service rate is related to a rate of a radio access network, a throughput capability of a core network UPF, and a transmission bandwidth of a transmission network SPN, and the service rate V expression supported by the network resource configuration is as follows:
V＝min(V t ，UPF t ，SPN t ) (4)
wherein, V t Is the rate of the radio access network;
V t the expression is as follows:
V t ＝F n *K b *log 2 (1+S/N) (5)
wherein, K b Configuring the frequency spectrum width of a single carrier frequency, wherein S is signal power, and N is noise power;
transmission bandwidth SPN configured for transmission network SPN t The expression is as follows:
SPN t ＝∑ n SPNn*L n (6)
wherein L is n For corresponding SPN n Port bandwidth.
5. The method as claimed in claim 1, wherein the service delay is related to a rate of a radio access network, a throughput capability of a UPF of a core network, a transmission rate of a transmission network SPN, and a cloud platform computation rate, and a delay expression supported by the network resource configuration is:
wherein T is time delay, W is service capacity, and gamma is cloud platform configuration single CPU/GPU processing speed;
the service reliability is related to the carrier frequency utilization rate, the core network UPF utilization rate, the transmission network SPN utilization rate and the cloud platform computing resource utilization rate, and the service reliability expression supported by the network resource configuration is as follows:
wherein R is service reliability, W p Traffic to be handled during busy hours, F l Handling traffic, alpha, for single carrier frequency busy i 、α j 、α k 、α l Reliability coefficients of a wireless network, a core network, a transmission network and a cloud platform, gamma p And configuring the processing speed of a single CPU/GPU busy hour for the cloud platform.
6. The method as claimed in claim 1, wherein an objective function is constructed based on the resource configuration cost model, and a constraint condition is constructed based on the service requirement of the user, so as to achieve the lowest resource configuration cost under the condition of satisfying the service requirement of the user, wherein the objective function and the constraint condition have the following expressions:
min(F n *β i +UPF c *β j +UPF t *β k +∑ n SPN n *β n +CG n *β l ) (9)
s.t.
N＞N r (10)
V＞V r (11)
T＜T r (12)
R＞R r (13)
N r indicating the number of service connections required, V r Indicating traffic rate requirement, T r Indicating traffic delay requirement, R r Representing the business reliability requirements.
7. The method as claimed in claim 1, wherein solving the objective function to determine the slice communication and the requirement of calculating the resource allocation scale when the resource allocation cost is the lowest includes:
solving the objective function by adopting a particle swarm algorithm, and determining the corresponding slice communication and resource allocation scale calculation requirements when the resource allocation cost is the lowest;
based on slice communication and resource configuration scale calculation requirements corresponding to the lowest resource configuration cost, network slice configuration is performed in combination with a network element real-time state, and the method specifically comprises the following steps:
the real-time status information of the network element includes but is not limited to: network element availability, network element service range, network element communication resource load and network element computing resource load;
and preferentially selecting the network element with small load as a target network element to execute network slice configuration under the conditions that the network element is available and the service range is met.
8. A network slice configuration system, comprising:
an acquisition module configured to: acquiring the service requirement of a user; the service requirements of the user comprise: the number of service connections, the service rate, the service delay and the service reliability;
a model building module configured to: constructing a resource configuration cost model based on the carrier frequency of a wireless access network, the UPF processing capacity of a core network, the throughput capacity of the UPF of the core network, the number of SPN ports of a transmission network and the resource configuration condition of a CPU/GPU of a cloud platform;
a function building module configured to: constructing a target function based on a resource configuration cost model, and constructing a constraint condition based on the service requirement of a user so as to realize the lowest resource configuration cost under the condition of meeting the service requirement of the user;
a solving module configured to: solving the objective function, and determining the slice communication and the calculation resource configuration scale requirement corresponding to the lowest resource configuration cost;
a slice configuration module configured to: and carrying out network slice configuration by combining the real-time state of the network element based on the slice communication and the requirement for calculating the resource configuration scale corresponding to the lowest resource configuration cost.
9. An electronic device, comprising:
a memory for non-transitory storage of computer readable instructions; and
a processor for executing the computer readable instructions,
wherein the computer readable instructions, when executed by the processor, perform the method of any of claims 1-7.
10. A storage medium storing non-transitory computer-readable instructions, wherein the non-transitory computer-readable instructions, when executed by a computer, perform the instructions of the method of any one of claims 1-7.
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