CN114302423B - 5G slice deployment method for power distribution network service - Google Patents
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission
Abstract
The invention discloses a 5G slice deployment method for power distribution network service, which comprises the following steps: s1, establishing a 5G communication network model facing to multiple services of a power distribution network; s2, calculating the slice deployment cost and the service wireless access time delay; and S3, constructing a cost penalty model, a time delay penalty model and a cost time delay joint optimization model, and obtaining an optimal 5G slice deployment strategy. The method can quantitatively analyze the influence of the system 5G slice deployment cost and the distribution network service transmission delay on the 5G slice deployment strategy by constructing the cost penalty model and the delay penalty model, and has objectivity and definiteness; by constructing the cost-delay joint optimization model, an optimal 5G slice deployment scheme can be formulated according to the access condition of the service terminal of the power distribution network, and the total cost of the system is obviously reduced under the condition of meeting the service transmission delay requirement of the power distribution network.
Description
Technical Field
The invention belongs to the technical field of wireless communication, relates to the technical field of power communication, and particularly relates to a 5G slice deployment method for power distribution network service.
Background
With the continuous expansion of the scale of the distribution network, the requirements of distribution automation and distributed power supply service access are continuously increased, the control service needs low-time delay, high reliability and high safety communication requirements, the intelligent inspection service needs high-definition video feedback, the requirement on communication bandwidth is high, the acquisition service is more faced with the problem of mass terminal access, the problems cannot be met by the prior wireless communication technology, and the 5G communication technology can effectively solve the communication requirements of the distribution network service. With the support of the 5G technology, the protection action time of the power distribution network is expected to be reduced from the second level to the millisecond level, the isolation speed of the power distribution network after faults occur is accelerated, and the safety and the power supply reliability of the power distribution network are improved.
The service types of the power distribution network are various, the 5G communication needs to support diversified services, the requirements of different services on time delay are extremely different, and in order to meet the different time delay requirements of different services, the 5G wireless access network needs to be more flexible and adaptive to different deployment scenes and diversified service requirements. Key architecture of 5G access network: the Cloud-Radio Access Network (C-RAN) architecture can save transmission resources, optimize resource coordination, and better support diversified business requirements and capital and operation cost control requirements. The C-RAN architecture consists of a Central Unit (CU), a Distributed Unit (DU) and an active antenna Unit (Active Antenna Unit, AAU). The link connecting the AAU and the DU is called a forward link, the AAU and the DU are separately deployed to generate a forward delay, the link connecting the CU and the DU is called an intermediate link, and the CU and the DU are separately deployed to generate an intermediate delay.
The 5G network slice deployment strategy needs to consider two major factors: 1) Meeting the key performance index of the service; 2) Meeting capital and operating cost control requirements. Under the condition of sharing the station address of 5G and 4G, only the equipment in the original machine room is required to be upgraded, and then CU and DU are put into a base station to quickly open 5G, so that the initial stage of 5G only carries out logic division of CU and DU and actually operates on the same base station, and the subsequent step of carrying out physical separation of CU and DU gradually along with the development of 5G and the development of new service so as to separate and centrally manage CU/DU. Therefore, constructing a service transmission delay and network cost model of the joint power distribution network becomes a difficulty in current research.
Disclosure of Invention
In order to solve the defects in the prior art, the invention aims to provide a 5G slice deployment method for power distribution network service. The 5G slice deployment method can remarkably reduce the total cost of the system under the condition of meeting the transmission delay requirement of the power distribution network service.
In order to achieve the above purpose, the invention adopts the following technical scheme:
A5G slice deployment method for power distribution network service comprises the following steps:
s1, establishing a 5G communication network model facing to multiple services of a power distribution network;
s2, calculating the slice deployment cost and the service wireless access time delay;
and S3, constructing a cost penalty model, a time delay penalty model and a cost time delay joint optimization model, and obtaining an optimal 5G slice deployment strategy.
Further, the 5G communication network model in step S1 includes a plurality of distribution network services, a distribution network service terminal, an active antenna unit, a distribution unit, and a concentration unit.
Further, the slice deployment strategies under the distributed unit/concentrated unit architecture are divided into four types, including a distributed unit/concentrated unit separation deployment strategy, a concentrated distributed unit/concentrated unit separation deployment strategy, a distributed unit/concentrated unit combination deployment strategy and a distributed unit/concentrated unit/active antenna unit combination deployment strategy.
Further, the network model of the distributed unit/concentrated unit separation deployment strategy is a two-level structure, the upper level is a clouded concentrated unit, the lower level is a hierarchical structure formed by the active antenna units and the distributed units, each distributed unit is connected with one active antenna unit device, a link connecting the active antenna units and the distributed units is called a forward link, the concentrated unit clouded concentrated unit can be connected with a plurality of distributed unit devices, and a link connecting the concentrated unit and the distributed units is called a middle link.
Further, the centralized distribution unit/centralized unit separation deployment strategy is a three-level structure, the three-level structure comprises an active antenna unit, a distribution unit and a centralized unit respectively, a link connecting the active antenna unit and the distribution unit becomes a forward link, and a link connecting the distribution unit and the centralized unit is called a mid-transmission link.
Furthermore, the network architecture of the deployment strategy is set by the centralized unit/distributed unit in a combined mode, the upper level is an integrated structure formed by the centralized unit/distributed unit, and the lower level is an active antenna unit.
Furthermore, the network architecture of the deployment strategy is a primary structure, and the distributed units, the concentrated units and the active antenna units are deployed in a unified way.
Further, the slice deployment costs in step S2 include capital costs and operation and maintenance costs, the capital costs including equipment costs and infrastructure costs; the infrastructure cost is the construction cost of the base station and the machine room and is in direct proportion to the number of the base station and the machine room; the operation and maintenance cost is the power consumption cost and the manual maintenance cost for operating and maintaining different deployment units; the method for calculating the slice deployment cost comprises the following steps:
(1) The calculation formula of the infrastructure cost of the ith deployment policy is as follows:
I i ＝b i ×C b +c i ×C c
wherein b i The number of base stations for the ith deployment strategy, C b C is the construction cost of the base station i For the number of machine rooms of the ith deployment strategy, C c The construction cost of the machine room is;
(2) The operation and maintenance cost of the ith deployment strategy is calculated as follows:
wherein mu i For the number of active antenna elements of the ith deployment strategy,
the operation and maintenance cost of the active antenna unit under the ith deployment strategy, v i Number of distribution units for the ith deployment policy, O i D For the operation and maintenance cost of the distribution unit under the ith deployment strategy, ρ i Number of hub units for the ith deployment policy, O i C The operation and maintenance cost of the centralized unit under the ith deployment strategy;
(3) The calculation formula of the slice deployment cost is as follows:
C i ＝I i +O i +E i
wherein C is i Slice deployment cost for the ith deployment policy, I i Infrastructure cost, O, for the ith deployment policy i Operation and maintenance cost for the ith deployment policy, E i Representing the device cost of the ith deployment policy.
Further, the calculation formula of the service wireless access delay in the step S2 is as follows:
wherein t is i,j For the wireless access time delay of the j-th power distribution network service under the i-th deployment strategy, tau 0 For basic processing time of data, A j For the data volume of j-th type distribution network service, V i f The information transfer rate of the link is forwarded for the ith deployment policy,
and the information transmission rate of the transmission link in the ith deployment strategy.
Further, the method for constructing the cost penalty model, the time delay penalty model and the cost time delay combined optimization model in the step S3 specifically includes the following steps:
1) Constructing a cost penalty model:
wherein S is i For cost penalty function value, C 0 Is a cost threshold;
2) Constructing a time delay penalty model:
wherein T is i The delay penalty function value under the ith deployment strategy is J, the service type number of the power distribution network is T i，j Delay penalty value alpha of j-th type power distribution network service under i-th deployment strategy j Is an adaptive coefficient;
said alpha j The calculation formula of (2) is as follows:
wherein n is j The number of the j-th type power distribution network service terminals is the sum of the number of the power distribution network service terminals;
the time delay penalty value T i，j The calculation formula of (2) is as follows:
wherein d j And as for the basic delay threshold of the j-th type power distribution network service terminal, lambda is a delay penalty parameter, and the lambda calculation formula is as follows:
λ＝log γ θ
wherein θ is a punishment critical coefficient, γ is a ratio of an optimal delay threshold to a basic delay threshold, the optimal delay threshold is a delay value with a certain delay margin, and the delay margin can be used as time for processing or remedying transmission problems such as error codes, feedback and the like;
3) Constructing a cost and time delay joint optimization model:
min(T i +β·S i )
wherein, the parameter beta is an adjustment coefficient, and the value range is [0,1].
Compared with the prior art, the invention has the beneficial effects that:
(1) The method can quantitatively analyze the cost of 5G slice deployment and the influence of the service transmission delay of the power distribution network on the 5G slice deployment strategy by constructing the cost penalty model and the delay penalty model, and has objectivity and definiteness.
(2) According to the invention, the optimal 5G slice deployment scheme can be formulated according to the access condition of the power distribution network service terminal by constructing the cost delay joint optimization model, and the total cost of the system is obviously reduced under the condition of meeting the transmission delay requirement of the power distribution network service.
Drawings
FIG. 1 is a graph comparing the deployment benefits of the method of the invention with the deployment benefits of the delay optimization method in the protection service of the power distribution network;
FIG. 2 is a graph comparing the deployment benefits of the four-way service using the method of the present invention with the deployment benefits of the four-way service using the time delay optimization method;
fig. 3 is a graph comparing the deployment benefit of the electricity consumption information acquisition service by the method of the invention and the time delay optimization method.
Detailed Description
In order that the manner in which the above-recited features of the present invention are attained and can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to the embodiments thereof which are illustrated in the appended drawings. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
Examples
A5G slice deployment method for power distribution network service comprises the following steps:
s1, a 5G communication network model facing to a plurality of power distribution network services is established, and the 5G communication network model comprises a plurality of power distribution network services, a plurality of power distribution network service terminals, a plurality of Active Antenna Units (AAU), a plurality of Distribution Units (DU) and a plurality of Concentration Units (CU);
the slice deployment strategies under the 5G communication centralized unit CU/distributed unit DU architecture are divided into four types, namely a distributed centralized unit CU/distributed unit DU separation deployment strategy, a centralized unit CU/distributed unit DU separation deployment strategy, a centralized unit CU/distributed unit DU combined deployment strategy and a centralized unit CU/distributed unit DU/active antenna unit AAU combined deployment strategy; the network model of the distributed centralized unit CU/distributed unit DU separation deployment strategy is of a two-level structure, the upper level is a clouded centralized unit, the lower level is a hierarchical structure formed by active antenna units and distributed units, each distributed unit is connected with one active antenna device, a link connecting the active antenna units and the distributed units is called a front transmission link, the clouded centralized unit can be connected with a plurality of distributed unit devices, and a link connecting the centralized unit and the distributed units is called a middle transmission link; the network model of the centralized concentrated unit CU/distributed unit DU separation deployment strategy is of a three-level structure, the three-level structure comprises three units of an active antenna unit AAU, a distributed unit DU and a concentrated unit CU respectively, a link connecting the active antenna unit AAU and the distributed unit DU is a forward link, and a link connecting the distributed unit DU and the concentrated unit CU is called a middle transmission link; the network architecture of the deployment strategy is integrated by the concentrated unit CU/the distributed unit DU, wherein the upper level is an integrated structure formed by the concentrated unit CU/the distributed unit DU, and the lower level is an active antenna unit AAU. The network architecture of the centralized unit CU/distributed unit DU/active antenna unit AAU combined deployment strategy is of a primary structure, and the centralized unit CU/distributed unit DU/active antenna unit AAU is deployed in a combined mode, so that the ultra-low time delay requirement can be met;
s2, calculating the slice deployment cost and the service wireless access time delay;
the slice deployment costs include capital costs and operational maintenance costs, the capital costs including equipment costs and infrastructure costs; the equipment cost of the four deployment strategies is the same and is marked as E, the infrastructure cost is the construction cost of the base station and the machine room and is in direct proportion to the number of the base station and the machine room; the operation and maintenance cost is the power consumption cost, the manual maintenance cost and the like for operating and maintaining different deployment units. Different slice deployment strategies can result in different infrastructure costs and operational costs;
(1) The infrastructure cost of the first distributed centralized unit CU/distributed unit DU split deployment strategy is:
wherein I is 1 Infrastructure costs for the first deployment strategy,
to round up the symbols, N is the number of base stations, C b For the construction cost of the base station, C c For the construction cost of the machine room, n DA Number of active antenna units AAU units, n, connectable for one distribution unit DU CD The number of the distributed unit DU units which can be connected for one CU clouding centralized unit;
(2) The operation and maintenance cost of the first distributed centralized unit CU/distributed unit DU separation deployment strategy is as follows:
wherein O is 1 Splitting the operation and maintenance costs of the deployment strategy for the first distributed central unit CU/distributed unit DU, O A For the operation and maintenance cost of the active antenna unit AAU, O D To distribute the operation and maintenance cost of the unit DU, O C The operation and maintenance cost for the central unit CU;
(3) The infrastructure cost of the second centralized unit CU/distributed unit DU split deployment strategy is:
wherein I is 2 Separating infrastructure costs of deployment policies for a second centralized unit CU/distributed unit DU; the other symbols are as defined above;
(4) The operation and maintenance cost of the second centralized unit CU/distributed unit DU separation deployment strategy is as follows:
wherein O is 2 Splitting the operation and maintenance costs of the deployment strategy for the second centralized unit CU/distributed unit DU, O AD The operation and maintenance cost for the integrated deployment of the active antenna unit AAU and the distribution unit DU; the other symbols are as defined above;
(5) The third centralized unit CU/distributed unit DU is integrated with the infrastructure cost of deployment policy:
wherein I is 3 Infrastructure costs for a third deployment strategy; the other symbols are as defined above;
(6) The operation and maintenance cost of the deployment strategy is set by combining the third centralized unit CU/the distributed unit DU:
wherein O is 3 Operation and maintenance cost for third deployment strategy, O DC Operation and maintenance costs for the integrated deployment of DUs and CUs; the other symbols are as defined above;
(7) The infrastructure cost of the fourth centralized unit CU/distributed unit DU/active antenna unit AAU integrated deployment strategy is:
I 4 ＝N×C b
wherein I is 4 Infrastructure costs for a fourth deployment strategy; the other symbols are as defined above;
(8) The operation and maintenance cost of the deployment strategy is set by combining the fourth centralized unit CU/distributed unit DU/active antenna unit AAU as follows:
O 4 ＝N×O ADC
wherein O is 4 Operation and maintenance cost for the fourth deployment strategy, O ADC The operation and maintenance cost for the integrated deployment of the active antenna unit AAU, the distribution unit DU and the central unit CU; the other symbols are as defined above;
(9) The slice deployment cost is as follows:
C i ＝E+I i +O i
wherein C is i Slice deployment cost for the ith deployment policy; i i Infrastructure costs for the ith deployment policy; q (Q) i The operation and maintenance cost for the ith deployment strategy;
the calculation method of the service wireless access time delay comprises the following steps:
when the active antenna unit AAU and the distribution unit DU are deployed separately, the data is transmitted from the active antenna unit AAU to the distribution unit DU, and a forward transmission delay is generated; when the distribution unit DU and the central unit CU are deployed separately, the transmission of data from the distribution unit DU to the central unit CU generates a mid-transmission delay, so the service wireless access delay of the four deployment strategies is:
wherein A is j For the data volume of j-th type distribution network service, tau 0 V is the basic processing time of data f V for information transmission rate of forward link m Information transmission rate for the intermediate transmission link;
s3, constructing a cost penalty model, a time delay penalty model and a cost time delay joint optimization model, wherein the method comprises the following steps of:
1) Constructing a cost penalty model:
wherein S is i For cost penalty function value, C 0 For the cost threshold, when the deployment strategy cost is lower than the cost threshold, the cost penalty function value is steep and then slowly increasesTrend, when the cost reaches the cost threshold, the cost penalty function value reaches 1, and when the deployment strategy cost is higher than the cost threshold, the cost penalty function value is in a gradual-before-steep increasing trend;
2) Constructing a time delay penalty model:
wherein T is i The delay penalty function value under the ith deployment strategy is J, the service type number of the power distribution network is T i，j Delay penalty value alpha of j-th type power distribution network service under i-th deployment strategy j Is an adaptive coefficient;
the time delay penalty value T i，j The calculation formula of (2) is as follows:
wherein d j The method is characterized in that the method is used for calculating a basic delay threshold value of a j-th type power distribution network service terminal, lambda is a delay penalty parameter, and the calculation formula is as follows:
λ＝log γ θ
wherein θ is a punishment critical coefficient, and γ is a ratio of an optimal delay threshold to a basic delay threshold; the optimal time delay threshold is a time delay value with a certain time delay margin, and the reserved time delay margin can be used as the time for processing or remedying transmission problems such as error codes, feedback and the like; in this example, γ=0.6, θ=0.2;
the adaptive coefficient alpha j The calculation formula of (2) is as follows:
wherein n is j The number of the j-th type power distribution network service terminals is the sum of the number of the power distribution network service terminals;
3) Constructing a cost and time delay joint optimization model:
min(T i +β·S i )
the parameter β is an adjustment coefficient, the value range is [0,1], and when β is larger, the larger the influence of the slice deployment cost on the deployment policy is indicated, and β=0.5 is adopted in this embodiment.
Defining the optimal time delay threshold meeting rate of the ith deployment strategy as follows:
wherein eta i Optimal delay threshold satisfaction rate, n, for the ith deployment strategy i And n is the sum of the number of the service terminals of the power distribution network, wherein the number of the service terminals of the power distribution network meets the optimal delay threshold under the ith deployment strategy.
The slice deployment benefits of defining the ith deployment strategy are:
wherein b i Slice deployment benefit for the ith deployment policy, c i Normalized value for the ith deployment policy cost.
And simulating the power distribution network protection service, the four-remote service and the electricity consumption information acquisition service. The data volume of the power distribution network protection service is 100 bits, the basic processing time is 15ms, the basic time delay threshold is 40ms, and the optimal time delay threshold is set to 24ms; the data volume of the four-remote service is 1Kbit, the basic processing time is 200ms, the basic time delay threshold is 500ms, and the optimal time delay threshold is 300ms; the data volume of the electricity information acquisition service is 5Kbit, the basic processing time is 400ms, the basic time delay threshold is 2s, and the optimal time delay threshold is 1.2s; the information transmission rate of the forward link is 20Mbit/s, and the information transmission rate of the intermediate link is 10Mbit/s.
The drawing is a comparison graph of the slice deployment benefits of the method and the delay optimization method, and the slice deployment strategy of the delay optimization method needs to ensure that all terminals meet the optimal delay threshold. Fig. 1 is a comparison graph of slice deployment benefits for changing the duty ratio of a power distribution network protection service terminal, and it can be seen from fig. 1 that as the power distribution network protection service is continuously increased, the slice deployment benefits are reduced, because the delay requirement of the power distribution network protection service is high, and higher cost is required to meet the delay requirement of the power distribution network protection service. When the power distribution network protection service terminal accounts for 10%, the optimal time delay threshold of each terminal needs to be met by adopting the time delay optimal method, so that the slice deployment benefit is rapidly reduced, and the influence of the 10% power distribution network protection service terminal on the slice deployment strategy is reduced by adopting the method, so that the slice deployment benefit is reduced by only 10%. When the protection service of the power distribution network is more than 40%, the time delay optimal method and the time delay optimal method are adopted, and the slice deployment benefits are the same, because the protection service of the power distribution network is high in proportion, and the influence on the slice deployment strategy is larger. Fig. 2 is a comparison graph of slice deployment benefits of changing the duty ratio of the four-remote service terminals, wherein as the duty ratio of the four-remote service terminals is continuously increased, the duty ratio of the power distribution network protection service terminals is reduced, so that the slice deployment benefits are improved, and when the duty ratio of the four-remote service terminals reaches 100%, the slice deployment benefits adopting the time delay optimization method are improved instantaneously due to the fact that the power distribution network protection service terminals are not arranged. Fig. 3 is a comparison graph of slice deployment benefits of changing the duty ratio of the electricity consumption information collection service terminal, and similarly, as the duty ratio of the electricity consumption information collection service terminal is continuously increased, the duty ratio of the power distribution network protection service terminal is reduced, so that the slice deployment benefits are improved, and when the duty ratio of the electricity consumption information collection service terminal reaches 100%, the slice deployment benefits reach the maximum value due to the fact that the power distribution network protection service terminal and the four-remote service terminal are not provided. In conclusion, the method can improve the slice deployment benefit, and remarkably reduce the total cost of the system under the condition of meeting the transmission delay requirement of the power distribution network service.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.
Claims (9)
1. The 5G slice deployment method for the power distribution network service is characterized by comprising the following steps of:
s1, establishing a 5G communication network model facing to power distribution network service;
s2, calculating the slice deployment cost and the service wireless access time delay;
s3, constructing a cost penalty model, a time delay penalty model and a cost time delay joint optimization model, and obtaining an optimal 5G slice deployment strategy;
the method for constructing the cost penalty model, the time delay penalty model and the cost time delay joint optimization model in the step S3 specifically comprises the following steps:
1) Constructing a cost penalty model:
wherein S is i For cost penalty function value, C 0 Is a cost threshold;
2) Constructing a time delay penalty model:
wherein T is i The delay penalty function value under the ith deployment strategy is J, the service type number of the power distribution network is T i，j Delay penalty value alpha of j-th type power distribution network service under i-th deployment strategy j Is an adaptive coefficient;
said alpha j The calculation formula of (2) is as follows:
wherein n is j The number of the j-th type power distribution network service terminals is the sum of the number of the power distribution network service terminals;
the time delay penalty value T i，j The calculation formula of (2) is as follows:
wherein d j And as for the basic delay threshold of the j-th type power distribution network service terminal, lambda is a delay penalty parameter, and the lambda calculation formula is as follows:
λ＝log γ θ
wherein θ is a punishment critical coefficient, γ is a ratio of an optimal delay threshold to a basic delay threshold, the optimal delay threshold is a delay value with a certain delay margin, and the delay margin can be used as time for processing or remedying transmission problems such as error codes, feedback and the like;
3) Constructing a cost and time delay joint optimization model:
min(T i +β·S i )
wherein, the parameter beta is an adjustment coefficient, and the value range is [0,1].
2. The 5G slice deployment method for power distribution network services according to claim 1, wherein the 5G communication network model in step S1 includes a plurality of power distribution network services, a power distribution network service terminal, an active antenna unit, a distribution unit and a concentration unit.
3. The 5G slice deployment method for power distribution network service according to claim 2, wherein the slice deployment policies under the distributed unit/concentrated unit architecture are four, including a distributed unit/concentrated unit separate deployment policy, a concentrated distributed unit/concentrated unit separate deployment policy, a distributed unit/concentrated unit set deployment policy, and a distributed unit/concentrated unit/active antenna unit set deployment policy.
4. A 5G slice deployment method for a power distribution network service according to claim 3, wherein a network model of the distributed distribution unit/concentration unit separation deployment policy is a two-level structure, an upper level is a clouded concentration unit, a lower level is a hierarchical structure formed by the active antenna units and the distribution units, each distribution unit is connected with one active antenna unit device, a link connecting the active antenna units and the distribution units is called a forward link, the clouded concentration unit is connected with a plurality of distribution unit devices, and a link connecting the concentration unit and the distribution unit is called a mid-transmission link.
5. A 5G slice deployment method for a power distribution network service according to claim 3, wherein the centralized distribution unit/centralized unit separation deployment strategy is a three-level structure, the three-level structure respectively comprises three units of an active antenna unit, a distribution unit and a centralized unit, a link connecting the active antenna unit and the distribution unit becomes a forward link, and a link connecting the distribution unit and the centralized unit is called a mid-transmission link.
6. The 5G slice deployment method for power distribution network service according to claim 3, wherein the network architecture of the centralized unit/distributed unit combined deployment policy is a two-level structure, the upper level is an integrated structure formed by the centralized unit/distributed unit, and the lower level is an active antenna unit.
7. The 5G slice deployment method for power distribution network service according to claim 3, wherein the network architecture of the deployment strategy is a primary structure, and the distributed unit/concentrated unit/active antenna unit is deployed in one.
8. The power distribution network service oriented 5G slice deployment method according to claim 1, wherein the slice deployment cost in step S2 includes a capital cost and an operation and maintenance cost, and the capital cost includes a facility cost and an infrastructure cost; the infrastructure cost is the construction cost of the base station and the machine room and is in direct proportion to the number of the base station and the machine room; the operation and maintenance cost is the power consumption cost and the manual maintenance cost for operating and maintaining different deployment units; the method for calculating the slice deployment cost comprises the following steps:
(1) The calculation formula of the infrastructure cost of the ith deployment policy is as follows:
I i ＝b i ×C b +c i ×C c
wherein b i The number of base stations for the ith deployment strategy, C b C is the construction cost of the base station i For the number of machine rooms of the ith deployment strategy, C c The construction cost of the machine room is;
(2) The operation and maintenance cost of the ith deployment strategy is calculated as follows:
wherein mu i Number of active antenna elements for the ith deployment strategy, O i A The operation and maintenance cost of the active antenna unit under the ith deployment strategy, v i Number of distribution units for the ith deployment policy, O i D For the operation and maintenance cost of the distribution unit under the ith deployment strategy, ρ i Number of hub units for the ith deployment policy, O i C The operation and maintenance cost of the centralized unit under the ith deployment strategy;
(3) The calculation formula of the slice deployment cost is as follows:
C i ＝I i +O i +E i
wherein C is i Slice deployment cost for the ith deployment policy, I i Infrastructure cost, O, for the ith deployment policy i Operation and maintenance cost for the ith deployment policy, E i Representing the device cost of the ith deployment policy.
9. The 5G slice deployment method for the power distribution network service according to claim 1, wherein the calculation formula of the service wireless access delay in step S2 is as follows:
wherein t is i,j For the wireless access time delay of the j-th power distribution network service under the i-th deployment strategy, tau 0 For basic processing time of data, A j For the data volume of j-th type distribution network service, V i f Forward link information transfer rate for ith deployment policy, V i m And the information transmission rate of the transmission link in the ith deployment strategy.
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