CN111343243A - File acquisition method and system based on 5G power slice - Google Patents

File acquisition method and system based on 5G power slice Download PDF

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CN111343243A
CN111343243A CN202010090876.5A CN202010090876A CN111343243A CN 111343243 A CN111343243 A CN 111343243A CN 202010090876 A CN202010090876 A CN 202010090876A CN 111343243 A CN111343243 A CN 111343243A
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file
remote radio
radio head
network
function
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CN111343243B (en
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孙德栋
欧清海
王艳茹
姚贤炯
李温静
宋继高
马文洁
刘卉
张洁
刘军雨
陈毅龙
王炫中
丰雷
林颖欣
游兆阳
陈志杰
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State Grid Corp of China SGCC
State Grid Information and Telecommunication Co Ltd
Beijing University of Posts and Telecommunications
State Grid Shanghai Electric Power Co Ltd
Beijing Zhongdian Feihua Communication Co Ltd
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State Grid Corp of China SGCC
State Grid Information and Telecommunication Co Ltd
Beijing University of Posts and Telecommunications
State Grid Shanghai Electric Power Co Ltd
Beijing Zhongdian Feihua Communication Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08—Configuration management of networks or network elements
    • H04L41/0893—Assignment of logical groups to network elements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/02—Resource partitioning among network components, e.g. reuse partitioning
    • H04W16/10—Dynamic resource partitioning
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H04W72/0453—Resources in frequency domain, e.g. a carrier in FDMA

Abstract

One or more embodiments of the present specification provide a file acquisition method and system based on a 5G power slice, where the method includes: the remote radio frequency head cluster receives a file request sent by a user through a network slice and sends the file request to the baseband processing unit pool; wherein, the network slice is a 5G power slice; the base band processing unit pool receives the file request, and determines a file corresponding to the file request and a file sending strategy based on the file request; the baseband processing unit pool sends a file sending strategy to the remote radio head cluster, and caches the file to a specific remote radio head in the remote radio head cluster based on the file sending strategy; the remote radio head cluster receives a file sending strategy, and a specific remote radio head distributes spectrum resources to the network slice based on the file sending strategy and sends the file to a user through the network slice; the method can meet diversified network requirements simultaneously, and improves network income and spectrum resource allocation efficiency.

Description

File acquisition method and system based on 5G power slice
Technical Field
One or more embodiments of the present disclosure relate to the field of communications technologies, and in particular, to a file acquisition method and system based on a 5G power slice.
Background
At present, with the development and progress of society, diversification of network requirements of various service scenes, such as intelligent security, high definition video, telemedicine, smart home, automatic driving, augmented reality and the like, is more and more prominent, and the service scenes generally have different communication requirements, such as different requirements in the aspects of mobility, calculation, safety, policy control, time delay, reliability and the like. If a dedicated physical network is established for each service scenario, the problems of complex network operation and maintenance, high cost, poor expandability and the like are inevitably caused.
Therefore, a method for satisfying diverse network requirements at the same time is needed.
Disclosure of Invention
In view of this, one or more embodiments of the present disclosure are directed to a method and a system for acquiring a file based on a 5G power slice, so as to solve the problem of diversified network requirements.
In view of the above, in a first aspect, one or more embodiments of the present specification provide a file acquisition method based on 5G power slice, where the method is applied to a file acquisition system based on 5G power slice, where the file acquisition system based on 5G power slice includes a baseband processing unit pool and a remote radio head cluster, and the remote radio head cluster includes a plurality of remote radio heads;
the method comprises the following steps:
the remote radio frequency head cluster receives a file request sent by a user through a network slice and sends the file request to a baseband processing unit pool; wherein the network slice is a 5G power slice;
the baseband processing unit pool receives the file request, and determines a file corresponding to the file request and a sending strategy of the file based on the file request; wherein the sending strategy of the file comprises a cache position of the file in the remote radio head cluster and a spectrum resource allocation strategy of the remote radio head cluster for the network slice;
the baseband processing unit pool sends the sending strategy of the file to the remote radio head cluster, and caches the file to a specific remote radio head in the remote radio head cluster based on the sending strategy of the file;
the remote radio head cluster receives the transmission strategy of the file, and the specific remote radio head allocates spectrum resources to the network slice based on the transmission strategy of the file and transmits the file to the user through the network slice.
Optionally, the sending policy of the file is determined by the following method:
determining a total cost for file caching in the remote radio head cluster;
determining a total network revenue generated by the network slice using spectrum resources of the remote radio head cluster;
determining a network total profit based on the network total revenue and the total cost;
setting a problem of obtaining the maximized network total profit as a target problem, and determining an objective function corresponding to the target problem based on the network total profit and a mean-variance model;
decomposing the objective problem into a main problem and a sub problem, and decomposing the objective function into a first function corresponding to the main problem and a second function corresponding to the sub problem; wherein the main question is to determine a cache location of the file in the remote radio head cluster, and the sub-question is to determine spectrum resource allocation of the remote radio head cluster to the network slice;
and determining the sending strategy of the file by performing iterative solution on the first function and the second function.
Optionally, the total profit of the network determined based on the total network revenue and the total cost is denoted as P, which is calculated by the formula
Figure BDA0002383667860000021
Wherein C is the total cost of file caching in the remote radio head cluster, and R is the total network income generated by using the spectrum resources of the remote radio head cluster by the network slice;
the number of files included in the baseband processing unit pool is F; the number of the remote radio heads contained in the remote radio head cluster is J; the total number of network slices is I; i denotes the ith network slice; x is the number offjWhether the f file is cached on the j remote radio head or not is indicated; c. CfIndicating the size of the f-th file βfjCost of caching the f-th file to the j-th remote radio head; y isijRepresenting the proportion of spectral resources allocated to the ith network slice by the jth remote radio head αijIndicating that the ith network slice uses the rent of the unit proportion spectrum resource of the jth remote radio frequency head;
Figure BDA0002383667860000022
Figure BDA0002383667860000031
optionally, the target question is denoted as P1, which is expressed as
Figure BDA0002383667860000032
Wherein X represents a cache deployment location of the file at the remote radio head cluster; y represents a spectrum resource allocation of the remote radio head cluster for the network slice;
determining an objective function based on the network total profit and the mean-variance model, wherein the objective function is represented as P1.1, and the calculation formula is
Figure BDA0002383667860000033
Wherein the content of the first and second substances,
Figure BDA0002383667860000034
Figure BDA0002383667860000035
Ojindicating the number of files that the jth remote radio head can accommodate; pifProbability of requesting the f-th file for the user through the i-th network slice,
Figure BDA0002383667860000036
Figure BDA0002383667860000037
representing a wireless transmission delay between the ith network slice and the jth remote radio head;
Figure BDA0002383667860000038
representing the forward link delay from the fj file to the jth remote radio head of the file transmitted by the baseband processing unit pool; difRepresenting the total latency of the user requesting the f-th file through the i-th network slice,
Figure BDA0002383667860000039
direpresenting the upper limit of the average time delay of all the files requested by the ith 5G network slice; k denotes a fairness factor.
Optionally, the main question obtained by decomposing the target question is recorded as MP, and the expression is
Figure BDA00023836678600000310
Recording the sub-problem obtained after the target problem is decomposed as SP, wherein the expression is
Figure BDA00023836678600000311
Wherein, X(t)Represents a solution to the main problem;
decomposing the target function to obtain a first function as follows:
Figure BDA00023836678600000314
wherein the content of the first and second substances,
Figure BDA00023836678600000312
Figure BDA00023836678600000313
x(v)indicates a feasible cut, YvDenotes x(v)Subscript set of elements having a median value other than 0, NvRepresents x(v)A subscript set of elements with a median of 0, t representing the t-th iteration;
decomposing the target function to obtain a second function as follows:
Figure BDA0002383667860000041
wherein the content of the first and second substances,
Figure BDA0002383667860000042
optionally, the upper bound of the objective function is UB(t)The lower bound of the objective function is LB(t)；
Determining the transmission strategy of the file by iteratively solving the first function and the second function includes:
initializing the upper and lower bounds of the system parameters and the objective function, and making t equal to 0, u equal to 0, v equal to 0, UB(0)＝+∞，LB(0)＝-∞；
When UB(t)-LB(t)When t is not more than 0, t is t +1, the first function is solved to obtain the optimal solution (X) of the first function(t),η(t)) And the lower bound of the objective function is LB(t)＝η(t)；
X to be obtained by solving the first function(t)Substituted into said second function and based on X(t)Solving the second function;
if based on X(t)And solving the second function to obtain a bounded value, if u is u +1, and obtaining a Carrocon-Kuen-Tack point (Y)(u),v(u))＝(Y(t),v(t)) Adding the constraint Γ (X, Y)(u),v(u)) η to the first function, and the upper bound of the objective function is
Figure BDA0002383667860000043
If based on X(t)If the second function is not feasible to solve, v +1, X(v)＝X(t)，UB(t)＝UB(t-1)Adding constraints
Figure BDA0002383667860000044
To the first function;
if the first function is unbounded, the target function is unbounded, the algorithm is stopped, and an indication that the problem is infeasible is returned;
return (X)*,Y*)＝(X(t),Y(t)) As an optimal solution to the objective function.
Optionally, the method further comprises:
the baseband processing unit pool sends the files in the baseband processing unit pool to the remote radio frequency head cluster;
the remote radio head cluster receives and stores files in the baseband processing unit pool.
For the same purpose, a second aspect of one or more embodiments of the present specification provides a file acquisition system based on 5G power slice, where the system includes a baseband processing unit pool and a remote rf head cluster, where the remote rf head cluster includes a plurality of remote rf heads;
the baseband processing unit pool is used for receiving a file request sent by the remote radio head cluster, and determining a file corresponding to the file request and a sending strategy of the file based on the file request; sending the sending strategy of the file to the remote radio head cluster, and caching the file to a specific remote radio head in the remote radio head cluster based on the sending strategy of the file;
the remote radio head cluster is used for receiving a file request sent by a user through a network slice and sending the file request to the baseband processing unit pool; receiving a transmission strategy of a file transmitted by the baseband processing unit pool, allocating spectrum resources to the network slice by a specific remote radio head in the remote radio head cluster based on the transmission strategy of the file, and transmitting the file to a user through the network slice;
wherein the network slice is a 5G power slice;
the sending strategy of the file comprises the caching position of the file in the remote radio head cluster and the spectrum resource allocation strategy of the remote radio head cluster for the network slice.
As can be seen from the above description, in the file acquiring method and system based on 5G power slice provided in one or more embodiments of the present disclosure, a user sends a file request to a remote radio head cluster through a 5G network slice, the remote radio head cluster sends the file request to a baseband processing unit pool after receiving the file request sent by the user, the baseband processing unit pool receives the file request and determines a file corresponding to the file request, a cache location of the file in the remote radio head cluster, and a spectrum resource allocation policy of the remote radio head cluster for the network slice based on the file request, then the baseband processing unit pool caches the file in a specific remote radio head in the remote radio head cluster based on the determined cache location of the file in the remote radio head cluster, the specific remote radio head allocates spectrum resources to the network slice based on the determined spectrum resource allocation policy of the remote radio head cluster for the network slice, and send the file to the user through the network slice. The baseband processing unit pool determines the caching position of the file in the remote radio head cluster and the spectrum resource allocation strategy of the remote radio head cluster for the network slice based on the file request, namely the baseband processing unit cluster determines the file sending strategy based on the file request, then the baseband processing unit pool caches the file to the specific remote radio head based on the file sending strategy, and the specific remote radio head performs spectrum resource allocation on the network slice based on the file sending strategy, so that diversified network requirements can be met simultaneously, and the network benefit and the spectrum resource allocation efficiency are improved.
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In order to more clearly illustrate one or more embodiments or prior art solutions of the present specification, the drawings that are needed in the description of the embodiments or prior art will be briefly described below, and it is obvious that the drawings in the following description are only one or more embodiments of the present specification, and that other drawings may be obtained by those skilled in the art without inventive effort from these drawings.
Fig. 1 is a schematic flowchart of a file acquisition method based on 5G power slices according to one or more embodiments of the present disclosure;
FIG. 2 is a 5G power slice based file acquisition system architecture model provided by one or more embodiments of the present description;
FIG. 3 is an explanation of step S03 provided in one or more embodiments of the disclosure;
FIG. 4 is a schematic diagram illustrating an algorithm convergence result of a verification test of a file acquisition method based on 5G power slices according to one or more embodiments of the present disclosure;
fig. 5 is a schematic diagram illustrating an influence result of the number of users and the fairness factor of a verification test of a file acquisition method based on a 5G power slice, provided in one or more embodiments of the present specification, on network revenue;
fig. 6 is a schematic diagram illustrating an influence of a fronthaul link delay and a fairness factor of a verification test of a file acquisition method based on a 5G power slice, provided in one or more embodiments of the present disclosure, on a network revenue;
fig. 7 is a schematic structural diagram of a file acquisition system based on 5G power slices according to one or more embodiments of the present specification.
Detailed Description
For the purpose of promoting a better understanding of the objects, aspects and advantages of the present disclosure, reference is made to the following detailed description taken in conjunction with the accompanying drawings.
It is to be noted that unless otherwise defined, technical or scientific terms used in one or more embodiments of the present specification should have the ordinary meaning as understood by those of ordinary skill in the art to which this disclosure belongs. The use of "first," "second," and similar terms in one or more embodiments of the specification is not intended to indicate any order, quantity, or importance, but rather is used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items.
At present, with the development and progress of society, diversification of network requirements of various service scenes, such as intelligent security, high definition video, telemedicine, smart home, automatic driving, augmented reality and the like, is more and more prominent, and the service scenes generally have different communication requirements, such as different requirements in the aspects of mobility, calculation, safety, policy control, time delay, reliability and the like. If a dedicated physical network is established for each service scenario, the problems of complex network operation and maintenance, high cost, poor expandability and the like are inevitably caused.
In order to solve the above problems, one or more embodiments of the present disclosure provide a method and a system for acquiring a file based on a 5G power slice, where a user sends a file request to a remote rf head cluster through a 5G network slice, the remote rf head cluster sends the file request to a baseband processing unit pool after receiving the file request sent by the user, the baseband processing unit pool receives the file request and determines a file corresponding to the file request, a cache location of the file in the remote rf head cluster, and a spectrum resource allocation policy of the remote rf head cluster for the network slice based on the file request, then the baseband processing unit pool caches the file in a specific remote rf head in the remote rf head cluster based on the determined cache location of the file in the remote rf head cluster, and the specific remote rf head allocates spectrum resources to the network slice based on the determined spectrum resource allocation policy of the remote rf head cluster for the network slice, and send the file to the user through the network slice. The method or the system can be applied to various electronic devices such as mobile phones and tablet computers, and is not limited specifically.
For convenience of understanding, the file acquisition method based on the 5G power slice is described in detail below with reference to the accompanying drawings.
Fig. 1 is a schematic flowchart of a file acquisition method based on 5G power slice provided in this specification, and as shown in fig. 1, the method is applied to a file acquisition system based on 5G power slice, where the file acquisition system based on 5G power slice includes a baseband processing unit pool and a remote radio head cluster, and the remote radio head cluster includes a plurality of remote radio heads;
the method comprises the following steps:
s01, the remote radio head cluster receives a file request sent by a user through the network slice and sends the file request to the baseband processing unit pool; wherein, the network slice is a 5G power slice.
In an embodiment of the present specification, fig. 2 is a file acquisition system architecture model based on a 5G power slice provided in the present specification, and as shown in fig. 2, the system architecture is to introduce the 5G power slice in a Cloud-Radio Access Network (hereinafter referred to as C-RAN), where the 5G power slice is a 5G Network slice applied in a power scene.
In the C-RAN, Baseband processing units (Baseband units, BBUs for short hereinafter) are concentrated in a single Baseband processing Unit pool (BBU pool for short hereinafter) through a fronthaul link, and a Remote Radio Head (RRH for short hereinafter) provides a wireless transmission function for a user. The C-RAN can improve the flexibility of network deployment, significantly reduce energy consumption and improve throughput, reduce capital expenditure and operating costs of the network.
5G is a latest generation cellular mobile communication technology, and has the main advantages that the data transmission rate is far higher than that of the previous cellular network, can reach 10Gbit/s at most, is faster than that of the current wired internet, and is 100 times faster than that of the previous 4G LTE cellular network; another advantage is lower network delay (faster response time), below 1 millisecond, and 30-70 milliseconds for 4G. The performance goals of 5G are high data rates, reduced latency, energy savings, reduced cost, increased system capacity, and large-scale device connectivity. In order to more flexibly meet the scene requirements, a concept of 5G network slicing is provided, the 5G network slicing cuts a physical network into a plurality of virtual end-to-end networks, each virtual network, including devices, access networks, transmission networks and core networks in the network, is logically independent, and the failure of any one virtual network does not affect other virtual networks, so that each virtual network corresponds to different application scenes.
The 4G is used in a low frequency band at present, and the 4G has the advantages of good performance and wide coverage, can effectively reduce the investment of operators in a base station and saves the fund; but the disadvantage is that the number of users is large, and the 'path' of data transmission is narrowed. Although the prior art has been optimized, the provision of rates remains limited.
The 5G uses a high frequency band, the use of high frequency can not only relieve the tension of low frequency resources, but also make the "road" wider and improve the bandwidth rate due to no congestion phenomenon, but is limited by the propagation performance of high frequency, so many high frequency band frequency resources are not used for transmission, and the 5G can be a good resource. Meanwhile, 5G is greatly optimized and adjusted on the basis of the existing technical architecture, and in order to realize ultra-low delay, 5G is performed from the aspects of an access network, a bearer network, a core network and a backbone network. The method greatly reduces the air interface transmission delay, reduces the forwarding nodes as much as possible, and shortens the distance between the nodes. A network slicing technology is introduced, a physical network slice is divided into N logic networks to adapt to different application scenes, the core network control function is sunk and deployed to the edge of an access network, a user is approached, the transmission distance is shortened, and the time delay is reduced.
The 5G network slice can meet the requirement of different users, the upper part of the same physical network infrastructure can be divided into a plurality of virtual networks, and the requirement of 5G diversified services can be met.
As shown in fig. 2, the system architecture includes a BBU pool and a plurality of RRHs, and there are a plurality of 5G power slices, the BBU pool and the RRHs are connected by a fronthaul link, each 5G power slice acquires files in the BBU pool by communicating with the RRHs, and each 5G power slice serves their users by leasing spectrum resources in the RRHs.
In practical application, the file may be a picture, a web page, a text, or the like, and is not limited specifically; the file request may be a file acquisition request sent by the user to the remote radio head cluster according to the service requirement of the user, for example, the file request may be a picture acquisition request, a web page acquisition request, or a text acquisition request, and the like, which is not limited specifically; the number of file requests may be one or more, and is not particularly limited.
In practical application, a user sends a file request to a remote radio head cluster based on service requirements, at least one RRH in the remote radio head cluster can receive the file request, and then sends the received file request to a BBU pool.
S02, the baseband processing unit pool receives the file request, and determines the file corresponding to the file request and the sending strategy of the file based on the file request; the file sending strategy comprises a cache position of the file in the remote radio head cluster and a spectrum resource allocation strategy of the remote radio head cluster for the network slice.
In the embodiment of the present specification, the network slice is a 5G power slice.
The BBU pool receives a file request sent by the remote radio head cluster, then determines a file which a user wants to obtain based on the file request, and determines a sending strategy of the file according to the file which the user wants to obtain.
In practical application, on one hand, the file sending strategy comprises the buffer position of the file in the remote radio frequency head cluster; a single file is cached on only one RRH in the remote radio head cluster; after determining the file that the user wants to obtain corresponding to the file request, it is then determined on which RRH to cache the file based on the file that the user wants to obtain.
In one aspect, the file sending policy further includes a spectrum resource allocation policy of the remote radio head cluster for a 5G power slice adopted when the user sends the file request. Each 5G power slice serves its users by leasing spectrum resources in the RRHs, and in practical applications, one RRH may correspond to 0 or 1 or more 5G power slices, depending on the types and numbers of different file requests, and is not particularly limited; when one RRH corresponds to a plurality of 5G power slices, the RRH needs to allocate its spectrum resources among the plurality of 5G power slices; when there are multiple users sending file requests over multiple 5G power slices, or when there are multiple users sending multiple file requests over multiple 5G power slices, the spectrum resources may be divided equally among the multiple 5G power slices; when a file is sent to a user by a BBU pool, it needs to determine how to allocate spectrum resources among multiple 5G power slices, that is, it needs to determine a spectrum resource allocation policy for the 5G power slices adopted when the user sends a file request.
The method for determining the file sending policy will be described in detail later, and will not be described herein again.
And S03, the baseband processing unit pool sends the sending strategy of the file to the remote radio head cluster, and caches the file to a specific remote radio head in the remote radio head cluster based on the sending strategy of the file.
In the embodiment of the present specification, it should be noted that the specific remote radio head does not refer to a specific remote radio head in the remote radio head cluster in which the file is cached, but refers to a RRH included in the transmission policy of the file on which the file is cached in the remote radio head cluster; in the file sending strategies respectively formulated for file requests of different batches or different moments, the caching positions of the same file in the remote radio head cluster may be different, that is, in the different file sending strategies, the same file may be cached on different RRHs.
In practical application, after determining a file sending strategy based on a file request, the BBU pool sends the file sending strategy to the remote radio head cluster, and caches the file at a cache position of the file determined by the file sending strategy in the remote radio head cluster according to the file sending strategy, namely, the file is cached on a specific RRH in the remote radio head cluster; it should be noted that, when the BBU pool buffers the file on the RRH, the file may be sent to the RRH, and then the RRH receives and stores the file, which is not limited specifically.
And S04, the remote radio head cluster receives the transmission strategy of the file, and the specific remote radio head allocates the spectrum resource to the network slice based on the transmission strategy of the file and transmits the file to the user through the network slice.
In the embodiments of the present specification, the network slice is a 5G power slice.
The remote radio head cluster receives a file sending strategy, RRHs after caching files allocate spectrum resources to 5G power slices adopted when sending file requests based on the file sending strategy, and the RRHs send the files to users through the 5G power slices after allocating the spectrum resources.
It can be understood that by constructing a system combining 5G power slices and C-RAN, and determining, by the BBU pool, a cache position of a file in a remote radio head cluster and a spectrum resource allocation policy of the remote radio head cluster for the power slices based on a file request, that is, determining, by the BBU pool, a transmission policy of the file based on the file request, then caching the file to a specific RRH by the BBU pool based on the transmission policy of the file, and performing spectrum resource allocation on the power slices by the specific RRH based on the transmission policy of the file, diversified network requirements can be simultaneously satisfied, and network revenue and spectrum resource allocation efficiency are improved.
In practical application, the BBU pool may determine a file corresponding to the file request based on the file request, and then determine a sending policy of the file based on the file; fig. 3 is an explanation of step S03 provided in this specification, and then, in some possible embodiments, the file sending policy is determined by:
and S31, determining the total cost of file caching in the remote radio head cluster.
Let the number of files in BBU pool be F, use set
Figure BDA0002383667860000111
To indicate that the number of RRHs in the remote radio head cluster is J, using the set
Figure BDA0002383667860000112
To indicate that the number of 5G power slices is I, use the set
Figure BDA0002383667860000113
To represent; i denotes the ith 5G power slice,
Figure BDA0002383667860000114
f denotes the f-th file and,
Figure BDA0002383667860000115
j denotes the jth RRH of the RRH,
Figure BDA0002383667860000116
caching files in BBU Pool on RRH generates certain cost, and c is setfIndicating the size of the f-th file, βfjCost, x, of caching the f-th file to the j-th RRH, representing unit sizefjIndicates whether the f file is cached on the j RRH, and xfj1 means that the f-th file is cached on the j-th RRH; x is the number offj0 means that the f-th file is not cached on the RRH; and each file is cached on only one RRH; let C be the total cost of file caching in the remote rf head cluster, and its expression is recorded as:
Figure BDA0002383667860000117
i.e. in practical application, can pass
Figure BDA0002383667860000118
A total cost for file caching in a cluster of remote radio heads is determined.
S32, determining a total network revenue generated by the network slice using spectrum resources of the remote radio head cluster.
Wherein, the network slice is a 5G power slice; when the 5G power slice uses the spectrum resource of the RRH to provide service for the user, that is, when the 5G power slice uses the spectrum resource of the RRH to transmit data, a certain rent needs to be paid to the network, and y is setijRepresenting the proportion of the spectrum resource allocated to the ith 5G power slice by the jth RRH αijA lease representing the ith 5G power slice using the unit-proportion spectrum resources of the jth RRH; let R be the total network revenue generated by the 5G power slice using the spectrum resources of the remote rf head cluster, expressed as:
Figure BDA0002383667860000119
i.e. in practical application, can pass
Figure BDA00023836678600001110
A total network revenue generated by the 5G power slice using spectrum resources of the remote radio head cluster is determined.
And S33, determining the total profit of the network based on the total income and the total cost of the network.
The difference value of the total network income and the total cost is the total network profit, P is the total network profit determined based on the total network income and the total cost, and the expression is recorded as:
Figure BDA0002383667860000121
s34, setting the problem of obtaining the maximized network total profit as a target problem, and determining an objective function corresponding to the target problem based on the network total profit and the mean-variance model.
Due to the flexibility of RRH spectrum resource allocation, the RRH always allocates spectrum resources to the most profitable 5G power slice when there is no fairness constraint, i.e., for the jth RRH, &lttt translation = α "&gtt α &ltt/t &gtt &ijThe larger, the corresponding yijThe larger.
In practical application, α can be introduced based on a mean-variance model in the Markov investment portfolio theory to avoid the situation of unfair spectrum resource allocationijIs set as
Figure BDA0002383667860000128
A set of 5G power slices representing the jth RRH service,
Figure BDA0002383667860000123
to represent
Figure BDA0002383667860000129
And
Figure BDA00023836678600001210
the covariance between; meanwhile, on the premise of comprehensively considering the capacity constraint of the RRH, the spectrum resource constraint of the RRH, the quantity constraint of the RRH cache files and the 5G power slice service quality constraint, the problems of file cache position deployment and spectrum resource allocation strategy for obtaining the maximized network profit can be set as a main problem, namely, the problem of obtaining the maximized network total profit is set as a target problem P1, and the expression is recorded as:
Figure BDA0002383667860000124
wherein X represents a cache deployment location of a file at the remote radio head cluster; y represents the spectrum resource allocation of the remote radio head cluster for the 5G power slice;
moreover, an objective function determined based on the network total profit mean-variance model may be set as P1.1, the objective function P1.1 corresponds to the target problem, and an expression of P1.1 is set as:
Figure BDA0002383667860000125
the constraint conditions of the objective function P1.1 include:
the capacity constraint of the RRH is
Figure BDA0002383667860000126
That is, the total size of the files cached on the jth RRH cannot be larger than the capacity of the ith RRH;
the spectrum resource of the RRH is restricted to
Figure BDA0002383667860000127
Namely, the total amount of the spectrum resources allocated to the 5G power slice by the jth RRH cannot be larger than the owned spectrum resources;
the restriction of the number of RRH cache files is
Figure BDA0002383667860000131
That is, the f-th file can only be cached on one RRH;
the quality of service constraint of the 5G power slice is
Figure BDA0002383667860000132
Namely, the average time delay of all files requested by the ith 5G power slice has an upper limit;
xfjand yijValue constraint of xfj∈{0,1},yijIs more than or equal to 0, i.e. xfjIs a variable of an integer from 0 to 1, yijIs a continuous variable not less than 0.
Wherein, OjIndicating the number of files that the jth remote radio head can accommodate; pifProbability of requesting the f-th file for the user through the i-th 5G power slice,
Figure BDA0002383667860000133
because a plurality of 5G power slices exist at the same time, the requirement of each 5G power slice on the time delay is different, the time delay of the 5G power slice request file is mainly composed of two parts,wireless transmission delay between the 5G power slice and the RRH, and fronthaul link delay between the RRH and the BBU pool. If the file requested by the user through the 5G power slice is cached on the RRH, the RRH can directly send the file to the 5G power slice, and the RRH does not need to acquire the file from the BBU pool first and then send the file to the 5G power slice; at this time, the delay of the 5G power slice request file only includes the wireless transmission delay between the 5G power slice and the RRH, and does not include the fronthaul link delay between the RRH and the BBU pool. If the file requested by the user through the 5G power slice is not cached on the RRH, the RRH needs to acquire the related file from the BBU pool at the moment and then sends the file to the 5G power slice; in this case, the latency of the 5G power slice request file is the sum of the wireless transmission latency between the 5G power slice and the RRH and the fronthaul link latency between the RRH and the BBU pool. Is provided with
Figure BDA0002383667860000134
Representing a wireless transmission delay between the ith 5G power slice and the jth remote radio head;
Figure BDA0002383667860000135
representing the forward link delay from the fj file to the jth remote radio head of the file transmitted by the baseband processing unit pool; difRepresents the total time delay of the user requesting the f-th file through the ith 5G power slice,
Figure BDA0002383667860000136
direpresents the upper limit of the average latency for all files requested by the ith 5G power slice.
K represents a fairness factor, represents fairness preference of RRH to spectrum resources allocated to the 5G power slices, and the larger k is, the more the system pays more attention to fairness of spectrum resources of RRH divided among the 5G power slices.
S35, decomposing the target problem into a main problem and a sub problem, and decomposing the target function into a first function corresponding to the main problem and a second function corresponding to the sub problem; the method comprises the following steps of determining a cache position of a file in a remote radio head cluster, and determining spectrum resource allocation of the remote radio head cluster to a network slice.
Wherein, the network slice is a 5G power slice; in order to obtain the optimal file cache location deployment and spectrum resource allocation strategy to maximize the total profit of the network, the target problem P1 can be decomposed into two problems based on the cache deployment and resource allocation algorithm of the generalized Benders decomposition algorithm: one is to determine the cache location deployment problem of the file in the remote radio head cluster, i.e. the main problem; one is to determine the spectrum resource allocation problem, i.e., sub-problem, of the remote radio head cluster for the 5G power slice.
The expression of the main problem is noted as:
Figure BDA0002383667860000141
the expression for the sub-problem is noted as:
Figure BDA0002383667860000142
accordingly, the objective function is decomposed into a first function corresponding to the main problem and a second function corresponding to the sub-problem, x in the first functionfjContaining only integer variables, y in the second functionijIs a continuous variable.
Carrying out iteration solution on the first function and the second function for multiple times, wherein in each iteration, the lower bound of the objective function value is obtained by solving the first function, the upper bound of the objective function value is obtained by solving the second function, and meanwhile, the optimal cut or the feasible cut is generated according to the solution result of the second function and is added into the objective function; and when the difference between the upper bound and the lower bound of the objective function value is 0, stopping the algorithm to obtain the optimal solution of the objective function, namely the optimal file cache position deployment and spectrum resource allocation strategy with the maximum network total profit.
In the t-th iteration, the solution of the first function is (X)(t),η(t)) If the optimal solution of the second function does not exist, a feasible cut needs to be added into the first function to eliminate the infeasible solution x(v)＝x(t)；
Then, in the t-th iteration, the expression of the first function is expressed as:
Figure BDA0002383667860000143
wherein the content of the first and second substances,
Figure BDA0002383667860000144
Figure BDA0002383667860000145
x(v)indicates a feasible cut, YvDenotes x(v)Subscript set of elements having a median value other than 0, NvRepresents x(v)The subscript set of elements with a median of 0, t denotes the t-th iteration.
In the t-th iteration, the expression of the second function is expressed as:
Figure BDA0002383667860000146
wherein the content of the first and second substances,
Figure BDA0002383667860000151
and S36, determining the sending strategy of the file by iteratively solving the first function and the second function.
After the first function and the second function are determined, multiple rounds of iterative solution are performed on the first function and the second function.
Setting the upper bound of the objective function to UB(t)With the lower bound of the objective function being LB(t)When it is UB(t)And LB(t)When the difference of (d) is 0, the iteration stops.
In one case, determining a file transmission policy by iteratively solving a first function and a second function includes:
initializing the upper and lower bounds of the system parameters and the objective function, and making t equal to 0, u equal to 0, v equal to 0, UB(0)＝+∞，LB(0)＝-∞；
When UB(t)-LB(t)When t is not more than 0, t is t +1, the first function is solved to obtain the first functionIs (X) is(t),η(t)) And the lower bound of the objective function is LB(t)＝η(t)；
X to be obtained by solving the first function(t)Substituted into a second function and based on X(t)Solving the second function;
if based on X(t)And solving the second function to obtain a bounded value, if u is u +1, and a karo-kuen-ta-k point (Y) is obtained(u),v(u))＝(Y(t),v(t)) Adding the constraint Γ (X, Y)(u),v(u)) η to the first function, and the upper bound of the objective function is
Figure BDA0002383667860000152
If based on X(t)If the second function is not solved, v +1, X(v)＝X(t)，UB(t)＝UB(t-1)Adding constraints
Figure BDA0002383667860000153
To a first function;
if the first function is unbounded, the target function is unbounded, the algorithm is stopped, and an indication that the problem is infeasible is returned;
return (X)*,Y*)＝(X(t),Y(t)) As the optimal solution for the objective function.
It can be understood that the BBU pool determines a file sending strategy based on the file request, that is, determines an optimal file cache location deployment and spectrum resource allocation strategy, and can simultaneously meet diversified network requirements and improve network benefits and spectrum resource allocation efficiency.
In practical application, in order to reduce the time delay of a user request service and improve the service quality of a 5G power slice, a file with higher user request frequency in a BBU pool can be cached on an RRH in advance; then, in some possible embodiments, the method further comprises:
the base band processing unit pool sends the files in the base band processing unit pool to a remote radio frequency head cluster;
the remote RF head cluster receives and stores the files in the baseband processing unit pool.
That is, in order to facilitate a user to acquire a file meeting a requirement more quickly, a file with a higher user request frequency in the BBU pool may be stored in the remote radio head cluster in advance; after a user sends a file request to the remote radio head cluster through the 5G power slice, if a file corresponding to the file request is cached in the remote radio head cluster, the file can be directly sent to the user, so that the time delay of the user for obtaining the file is reduced, and the user experience is improved.
One or more embodiments of the present specification further provide a verification test for verifying the file acquisition method based on the 5G power slice; the results are shown in fig. 4, 5 and 6.
Fig. 4 is a diagram illustrating the convergence result of the algorithm, and it can be seen from fig. 4 that the difference between the upper bound and the lower bound of the objective function is gradually reduced from a very large value to 0, and when the 97 th iteration is completed, the difference between the upper bound and the lower bound is reduced to 0, indicating that a global optimal solution is obtained.
Fig. 5 is a schematic diagram of the influence result of the number of users and the fairness factor on the network revenue, and as can be seen from fig. 5, as the number of 5G power slices increases, the revenue of the network also increases, which is obvious, because the increase of a certain number of 5G power slices can increase the resource utilization rate of the network, and increase the revenue of the network, however, because the spectrum resources in the network are limited, when the number of 5G power slices increases to a certain extent, the increase speed of the network revenue will be slowed down.
In addition, as can be seen from fig. 5, the fairness factor κ also has a certain influence on the network revenue, the larger κ, the lower the network revenue, and the growth rate of the network revenue tends to be flat faster, because the larger κ indicates that the system is more interested in the fairness of spectrum resource allocation among 5G power slices, and when performing spectrum resource allocation, the system tends to allocate all 5G power slices to the same amount of spectrum resources rather than the 5G power slices with high bids, and thus the revenue of the network is reduced to some extent.
Fig. 6 is a schematic diagram illustrating an influence of a fronthaul link delay and a fairness factor on network revenue, and as can be seen from fig. 6, as the fronthaul link delay increases, the network revenue is in a whole descending trend, and when the fronthaul link delay exceeds 0.7s, the network revenue is rapidly reduced, because although deploying a cache in an RRH can improve the utilization rate of resources in the network and improve the service quality of a 5G power slice, the cache occupies the resource space of the RRH, and in order to improve the hit rate of the cache, the network needs to periodically perform cleaning and maintenance on the cache, which may generate a certain overhead and reduce the network revenue; when the time delay of the fronthaul link is increased, the system has to deploy more caches in order to meet the time delay requirement of the 5G power slice, so that the spectrum resource allocation strategy cannot focus on allocating the spectrum resources to the 5G power slice with high price, thereby reducing the network revenue.
It should be noted that the method of one or more embodiments of the present disclosure may be performed by a single device, such as a computer or server. The method of the embodiment can also be applied to a distributed scene and completed by the mutual cooperation of a plurality of devices. In such a distributed scenario, one of the devices may perform only one or more steps of the method of one or more embodiments of the present disclosure, and the devices may interact with each other to complete the method.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Fig. 7 is a schematic structural diagram of a file acquisition system based on 5G power slice according to one or more embodiments of the present disclosure, as shown in fig. 7, the system includes a baseband processing unit pool 71 and a remote rf head cluster 72, where the remote rf head cluster 72 includes a plurality of remote rf heads;
the baseband processing unit pool 71 is configured to receive a file request sent by the remote radio head cluster 72, and determine a file corresponding to the file request and a file sending policy based on the file request; sending the sending policy of the file to the remote radio head cluster 72, and caching the file to a specific remote radio head in the remote radio head cluster 72 based on the sending policy of the file;
a remote rf head cluster 72, configured to receive a file request sent by a user through a network slice, and send the file request to the baseband processing unit pool 71; receiving a transmission strategy of a file transmitted by the baseband processing unit pool 71, and allocating spectrum resources to a network slice by a specific remote radio head in the remote radio head cluster 72 based on the transmission strategy of the file, and transmitting the file to a user through the network slice;
wherein, the network slice is a 5G power slice;
the file transmission strategy includes the caching position of the file in the remote radio head cluster 72 and the spectrum resource allocation strategy of the remote radio head cluster 72 for the network slice.
In one possible embodiment, the transmission policy of the file is determined by:
determining a total cost of file caching in the remote radio head cluster 72;
determining a total network revenue generated by the network slice using spectrum resources of the remote radio head cluster 72;
determining a total profit for the network based on the total revenue and the total cost for the network;
setting the problem of obtaining the maximized network total profit as a target problem, and determining an objective function corresponding to the target problem based on the network total profit and the mean-variance model;
decomposing the objective problem into a main problem and a sub problem, and decomposing the objective function into a first function corresponding to the main problem and a second function corresponding to the sub problem; the main problem is to determine the cache location of the file in the remote radio head cluster 72, and the sub-problem is to determine the spectrum resource allocation of the remote radio head cluster 72 to the power slice;
and determining a file sending strategy by carrying out iterative solution on the first function and the second function.
As one embodiment, the total profit for the network, determined based on the total revenue and cost of the network, is denoted as P and is calculated as
Figure BDA0002383667860000181
Where C is the total cost of file caching in the remote radio head cluster 72 and R is the total network revenue generated by the network slice using the spectrum resources of the remote radio head cluster 72;
the number of files included in the baseband processing unit pool 71 is F; the number of remote radio heads included in the remote radio head cluster 72 is J; the total number of network slices is I; i denotes the ith network slice; x is the number offjWhether the f file is cached on the j remote radio head or not is indicated; c. CfIndicating the size of the f-th file βfjCost of caching the f-th file to the j-th remote radio head; y isijRepresenting the proportion of spectral resources allocated to the ith network slice by the jth remote radio head αijIndicating that the ith network slice uses the rent of the unit proportion spectrum resource of the jth remote radio frequency head;
Figure BDA0002383667860000182
in one possible implementation, the target problem is denoted as P1, which is expressed as
Figure BDA0002383667860000183
Wherein X represents the cache deployment location of the file at the remote radio head cluster 72; y represents the spectrum resource allocation for the network slice by the cluster of remote radio heads 72;
the method determines an objective function based on a network total profit and a mean-variance model, and the objective function is marked as P1.1, and the calculation formula is
Figure BDA0002383667860000184
Wherein the content of the first and second substances,
Figure BDA0002383667860000191
Figure BDA0002383667860000192
Ojindicating the number of files that the jth remote radio head can accommodate; pifProbability of requesting the f-th file for the user through the i-th network slice,
Figure BDA0002383667860000193
Figure BDA00023836678600001913
representing a wireless transmission delay between the ith network slice and the jth remote radio head;
Figure BDA0002383667860000194
representing the forward link delay from the fj file to the jth remote radio head of the file transmitted by the baseband processing unit pool; difRepresenting the total latency of the user requesting the f-th file through the i-th network slice,
Figure BDA0002383667860000195
direpresenting the upper limit of the average time delay of all the files requested by the ith 5G network slice; k denotes a fairness factor.
As an implementation mode, the main problem obtained after the target problem is decomposed is recorded as MP, and the expression is
Figure BDA0002383667860000196
The sub-problem obtained after the target problem is decomposed is recorded as SP, and the expression is
Figure BDA0002383667860000197
Wherein, X(t)Represents a solution to the main problem;
the first function obtained by decomposing the objective function is as follows:
Figure BDA0002383667860000198
wherein the content of the first and second substances,
Figure BDA0002383667860000199
Figure BDA00023836678600001910
x(v)indicates a feasible cut, YvDenotes x(v)Subscript set of elements having a median value other than 0, NvRepresents x(v)A subscript set of elements with a median of 0, t representing the t-th iteration;
the second function obtained by decomposing the objective function is as follows:
Figure BDA00023836678600001911
wherein the content of the first and second substances,
Figure BDA00023836678600001912
in one possible embodiment, the upper bound of the objective function is UB(t)With the lower bound of the objective function being LB(t)；
Determining a file sending strategy by iteratively solving the first function and the second function, wherein the determining comprises the following steps:
initializing the upper and lower bounds of the system parameters and the objective function, and making t equal to 0, u equal to 0, v equal to 0, UB(0)＝+∞，LB(0)＝-∞；
When UB(t)-LB(t)When t is not more than 0, t is t +1, the first function is solved to obtain the optimal solution (X) of the first function(t),η(t)) And the lower bound of the objective function is LB(t)＝η(t)；
X to be obtained by solving the first function(t)Substituted into a second function and based on X(t)Solving the second function;
if based on X(t)And solving the second function to obtain a bounded value, if u is u +1, and a karo-kuen-ta-k point (Y) is obtained(u),v(u))＝(Y(t),v(t)) Adding the constraint Γ (X, Y)(u),v(u)) η to the first function, and the upper bound of the objective function is
Figure BDA0002383667860000201
If based on X(t)If the second function is not solved, v +1, X(v)＝X(t)，UB(t)＝UB(t-1)Adding constraints
Figure BDA0002383667860000202
To a first function;
if the first function is unbounded, the target function is unbounded, the algorithm is stopped, and an indication that the problem is infeasible is returned;
return (X)*,Y*)＝(X(t),Y(t)) As the optimal solution for the objective function.
As an embodiment, the baseband processing unit pool 71 is further configured to send the files in the baseband processing unit pool 71 to the remote rf head cluster 72;
the remote rf head cluster 72 is also used to receive and store files in the baseband processing unit pool 71.
The system of the foregoing embodiment is used to implement the corresponding method in the foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which are not described herein again.
Those of ordinary skill in the art will understand that: the discussion of any embodiment above is meant to be exemplary only, and is not intended to intimate that the scope of the disclosure, including the claims, is limited to these examples; within the spirit of the present disclosure, features from the above embodiments or from different embodiments may also be combined, steps may be implemented in any order, and there are many other variations of different aspects of one or more embodiments of the present description as described above, which are not provided in detail for the sake of brevity.
In addition, well-known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown in the provided figures, for simplicity of illustration and discussion, and so as not to obscure one or more embodiments of the disclosure. Furthermore, devices may be shown in block diagram form in order to avoid obscuring the understanding of one or more embodiments of the present description, and this also takes into account the fact that specifics with respect to implementation of such block diagram devices are highly dependent upon the platform within which the one or more embodiments of the present description are to be implemented (i.e., specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the disclosure, it should be apparent to one skilled in the art that one or more embodiments of the disclosure can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative instead of restrictive.
While the present disclosure has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic ram (dram)) may use the discussed embodiments.
It is intended that the one or more embodiments of the present specification embrace all such alternatives, modifications and variations as fall within the broad scope of the appended claims. Therefore, any omissions, modifications, substitutions, improvements, and the like that may be made without departing from the spirit and principles of one or more embodiments of the present disclosure are intended to be included within the scope of the present disclosure.

Claims (10)

1. A file acquisition method based on 5G power slices is characterized in that the method is applied to a file acquisition system based on 5G power slices, the file acquisition system based on 5G power slices comprises a baseband processing unit pool and a remote radio head cluster, and the remote radio head cluster comprises a plurality of remote radio heads;
the method comprises the following steps:
the remote radio frequency head cluster receives a file request sent by a user through a network slice and sends the file request to a baseband processing unit pool; wherein the network slice is a 5G power slice;
the baseband processing unit pool receives the file request, and determines a file corresponding to the file request and a sending strategy of the file based on the file request; wherein the sending strategy of the file comprises a cache position of the file in the remote radio head cluster and a spectrum resource allocation strategy of the remote radio head cluster for the network slice;
the baseband processing unit pool sends the sending strategy of the file to the remote radio head cluster, and caches the file to a specific remote radio head in the remote radio head cluster based on the sending strategy of the file;
the remote radio head cluster receives the transmission strategy of the file, and the specific remote radio head allocates spectrum resources to the network slice based on the transmission strategy of the file and transmits the file to the user through the network slice.
2. The file acquisition method based on 5G power slice according to claim 1, wherein the transmission strategy of the file is determined by the following method:
determining a total cost for file caching in the remote radio head cluster;
determining a total network revenue generated by the network slice using spectrum resources of the remote radio head cluster;
determining a network total profit based on the network total revenue and the total cost;
setting a problem of obtaining the maximized network total profit as a target problem, and determining an objective function corresponding to the target problem based on the network total profit and a mean-variance model;
decomposing the objective problem into a main problem and a sub problem, and decomposing the objective function into a first function corresponding to the main problem and a second function corresponding to the sub problem; wherein the main question is to determine a cache location of the file in the remote radio head cluster, and the sub-question is to determine spectrum resource allocation of the remote radio head cluster to the network slice;
and determining the sending strategy of the file by performing iterative solution on the first function and the second function.
3. The file retrieval method based on 5G power slice according to claim 2, wherein the total profit of the network determined based on the total network income and the total cost is recorded as P and calculated by the formula of
Figure FDA0002383667850000021
Wherein C is the total cost of file caching in the remote radio head cluster, and R is the total network income generated by using the spectrum resources of the remote radio head cluster by the network slice;
the number of files included in the baseband processing unit pool is F; the number of the remote radio heads contained in the remote radio head cluster is J; the total number of network slices is I; i denotes the ith network slice; x is the number offjWhether the f file is cached on the j remote radio head or not is indicated; c. CfIndicating the size of the f-th file βfjCost of caching the f-th file to the j-th remote radio head; y isijRepresenting the proportion of spectral resources allocated to the ith network slice by the jth remote radio head αijIndicating that the ith network slice uses the rent of the unit proportion spectrum resource of the jth remote radio frequency head;
Figure FDA0002383667850000022
Figure FDA0002383667850000023
4. the file acquisition method based on 5G power slice according to claim 3, wherein the target question is represented as P1 with the expression of P1
Figure FDA0002383667850000024
Wherein X represents a cache deployment location of the file at the remote radio head cluster; y represents a spectrum resource allocation of the remote radio head cluster for the network slice;
determining an objective function based on the network total profit and the mean-variance model, wherein the objective function is represented as P1.1, and the calculation formula is
Figure FDA0002383667850000025
Wherein the content of the first and second substances,
Figure FDA0002383667850000026
Figure FDA0002383667850000027
Ojindicating the number of files that the jth remote radio head can accommodate; pifProbability of requesting the f-th file for the user through the i-th network slice,
Figure FDA0002383667850000028
Figure FDA0002383667850000029
representing a wireless transmission delay between the ith network slice and the jth remote radio head;
Figure FDA00023836678500000210
representing the forward link delay from the fj file to the jth remote radio head of the file transmitted by the baseband processing unit pool; difIndicating that the user requests the second through the ith network sliceThe total latency of the f files,
Figure FDA0002383667850000031
direpresenting the upper limit of the average time delay of all the files requested by the ith 5G network slice; k denotes a fairness factor.
5. The method as claimed in claim 4, wherein the main problem obtained by decomposing the target problem is denoted as MP, and the expression is MP
Figure FDA0002383667850000032
Recording the sub-problem obtained after the target problem is decomposed as SP, wherein the expression is
Figure FDA0002383667850000033
Wherein, X(t)Represents a solution to the main problem;
decomposing the target function to obtain a first function as follows:
Figure FDA0002383667850000034
wherein the content of the first and second substances,
Figure FDA0002383667850000035
Figure FDA0002383667850000036
x(v)indicates a feasible cut, YvDenotes x(v)Subscript set of elements having a median value other than 0, NvRepresents x(v)A subscript set of elements with a median of 0, t representing the t-th iteration;
decomposing the target function to obtain a second function as follows:
Figure FDA0002383667850000037
wherein the content of the first and second substances,
Figure FDA0002383667850000038
6. the file acquisition method based on 5G power slice according to claim 5, wherein the upper bound of the objective function is UB(t)The lower bound of the objective function is LB(t)；
Determining the transmission strategy of the file by iteratively solving the first function and the second function includes:
initializing the upper and lower bounds of the system parameters and the objective function, and making t equal to 0, u equal to 0, v equal to 0, UB(0)＝+∞，LB(0)＝-∞；
When UB(t)-LB(t)When t is not more than 0, t is t +1, the first function is solved to obtain the optimal solution (X) of the first function(t),η(t)) And the lower bound of the objective function is LB(t)＝η(t)；
X to be obtained by solving the first function(t)Substituted into said second function and based on X(t)Solving the second function;
if based on X(t)And solving the second function to obtain a bounded value, if u is u +1, and obtaining a Carrocon-Kuen-Tack point (Y)(u),v(u))＝(Y(t),v(t)) Adding the constraint Γ (X, Y)(u),v(u)) η to the first function, and the upper bound of the objective function is
Figure FDA0002383667850000041
If based on X(t)If the second function is not feasible to solve, v +1, X(v)＝X(t)，UB(t)＝UB(t-1)Adding constraints
Figure FDA0002383667850000042
To the first function;
if the first function is unbounded, the target function is unbounded, the algorithm is stopped, and an indication that the problem is infeasible is returned;
return (X)*,Y*)＝(X(t),Y(t)) As an optimal solution to the objective function.
7. The file acquisition method based on 5G power slice according to claim 1, characterized in that the method further comprises:
the baseband processing unit pool sends the files in the baseband processing unit pool to the remote radio frequency head cluster;
the remote radio head cluster receives and stores files in the baseband processing unit pool.
8. A file acquisition system based on 5G power slice is characterized by comprising a baseband processing unit pool and a remote radio head cluster, wherein the remote radio head cluster comprises a plurality of remote radio heads;
the baseband processing unit pool is used for receiving a file request sent by the remote radio head cluster, and determining a file corresponding to the file request and a sending strategy of the file based on the file request; sending the sending strategy of the file to the remote radio head cluster, and caching the file to a specific remote radio head in the remote radio head cluster based on the sending strategy of the file;
the remote radio head cluster is used for receiving a file request sent by a user through a network slice and sending the file request to the baseband processing unit pool; receiving a transmission strategy of a file transmitted by the baseband processing unit pool, allocating spectrum resources to the network slice by a specific remote radio head in the remote radio head cluster based on the transmission strategy of the file, and transmitting the file to a user through the network slice;
wherein the network slice is a 5G power slice;
the sending strategy of the file comprises the caching position of the file in the remote radio head cluster and the spectrum resource allocation strategy of the remote radio head cluster for the network slice.
9. The 5G power slice based file acquisition system according to claim 8, wherein the transmission policy of the file is determined by:
determining a total cost for file caching in the remote radio head cluster;
determining a total network revenue generated by the network slice using spectrum resources of the remote radio head cluster;
determining a network total profit based on the network total revenue and the total cost;
setting a problem of obtaining the maximized network total profit as a target problem, and determining an objective function corresponding to the target problem based on the network total profit and a mean-variance model;
decomposing the objective problem into a main problem and a sub problem, and decomposing the objective function into a first function corresponding to the main problem and a second function corresponding to the sub problem; wherein the main question is to determine a cache location of the file in the remote radio head cluster, and the sub-question is to determine spectrum resource allocation of the remote radio head cluster to the network slice;
and determining the sending strategy of the file by performing iterative solution on the first function and the second function.
10. The 5G power slice-based file retrieval system of claim 9, wherein a total profit for the network determined based on the total network revenue and the total cost is denoted as P and is calculated by the formula
Figure FDA0002383667850000051
Wherein C is the total cost of file caching in the remote radio head cluster, and R is the total network income generated by using the spectrum resources of the remote radio head cluster by the network slice;
the number of files included in the baseband processing unit pool is F; the number of the remote radio heads contained in the remote radio head cluster is J; the total number of network slices is I; i denotes the ith network slice; x is the number offjWhether the f file is cached on the j remote radio head or not is indicated; c. CfIndicating the size of the f-th file βfjCost of caching the f-th file to the j-th remote radio head; y isijRepresenting the proportion of spectral resources allocated to the ith network slice by the jth remote radio head αijIndicating that the ith network slice uses the rent of the unit proportion spectrum resource of the jth remote radio frequency head;
Figure FDA0002383667850000052
Figure FDA0002383667850000053
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