Deployment method and device of hard slice resources, storage medium, and electronic device

Abstract

The present disclosure is about a deployment method and device for hard slice resources, a storage medium, and an electronic device, and relates to the field of 5G communication technology. The method includes: obtaining a target number card with a first number card category from a customer relationship management system, and generating a first hard slice resource matching condition and a second hard slice resource matching condition according to the number of number card accesses of the target number card; matching a first hard slice resource deployment rule on the access network device side from a first preset logical form according to the first hard slice resource matching condition, and matching a second hard slice resource deployment rule on the bearer network device side from a second preset logical form according to the second hard slice resource matching condition; sending the first hard slice resource deployment rule to the access network device to realize elastic contraction of the hard slice resources of the access network device, and sending the second hard slice resource deployment rule to the bearer network device to realize elastic contraction of the hard slice resources on the bearer network device side. The present disclosure improves the utilization rate of slices.

Description

Background Art

[0002] Network slicing is an end-to-end logical function and a collection of physical or virtual resources required for it, including access network, bearer network and core network, etc. Network slicing can be considered as a virtualized private network in 5G network. At the same time, network slicing technology can achieve logical isolation of communication networks, allowing network elements and functions to be reconfigured and reused in each network slice to meet specific industry needs.

[0003] In the existing hard slice resource allocation method, channel resources can be upgraded on the basis of soft slices to provide large industry customers with end-to-end slice channels with exclusive carrier resource blocks or bandwidth resources. However, this method occupies more hard slice resources, resulting in low utilization of slice resources.

[0004] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present disclosure, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field. Summary of the invention

[0005] The purpose of the present disclosure is to provide a hard slice resource deployment method, a hard slice resource deployment device, a computer-readable storage medium and an electronic device, thereby at least to a certain extent overcoming the problem of low slice resource utilization caused by the limitations and defects of related technologies.

[0006] According to one aspect of the present disclosure, a method for deploying hard slice resources is provided, including:

[0007] Obtain a target number card with a first number card category from a customer relationship management system, and generate a first hard slice resource matching condition and a second hard slice resource matching condition according to the number of number card accesses of the target number card;

[0008] Matching a first hard slice resource deployment rule on the access network device side from a first preset logical form according to the first hard slice resource matching condition, and matching a second hard slice resource deployment rule on the bearer network device side from a second preset logical form according to the second hard slice resource matching condition;

[0009] The first hard slice resource deployment rule is sent to the access network device to achieve elastic contraction of the hard slice resources of the access network device, and the second hard slice resource deployment rule is sent to the bearer network device to achieve elastic contraction of the hard slice resources on the bearer network device side.

[0010] In an exemplary embodiment of the present disclosure, generating a first hard slice resource matching condition and a second hard slice resource matching condition according to the number of number card accesses of the target number card includes:

[0011] Based on the pre-signed target contract, select from the target number cards the first number card access quantity corresponding to the first target number card associated with the access network device, and the second number card access quantity corresponding to the first target number card associated with the bearer network device;

[0012] Generate a first hard slice resource matching condition according to the access quantity of the first number card, the target cell capacity parameter corresponding to the first target number card, and the target RB reservation parameter;

[0013] The second hard slice resource matching condition is generated according to the number of accesses of the second number card, the peak traffic of the target bearer network device corresponding to the second target number card, and the binding ratio parameter of the target flexible Ethernet.

[0014] In an exemplary embodiment of the present disclosure, the first preset logic form includes a first target number card access quantity logic form and / or an access network device performance indicator change logic form on the access network device side;

[0015] Among them, matching a first hard slice resource deployment rule on the access network device side from a first preset logical form according to the first hard slice resource matching condition includes:

[0016] Obtaining a common number card with a second number card category from a customer relationship management system, and calculating a first occupancy rate of the common number card for a target cell capacity parameter included in a first hard slice resource matching condition;

[0017] If the first occupancy rate of the target cell capacity parameter by the common number card is less than the first preset threshold, the first hard slice resource deployment rule on the access network device side is matched from the first target number card access volume logic table on the access network device side;

[0018] If the first occupancy rate of the target cell capacity parameter by the ordinary number card is greater than or equal to the first preset threshold, the first hard slice resource deployment rule on the access network device side is matched from the access network device performance indicator change logic form.

[0019] In an exemplary embodiment of the present disclosure, matching a first hard slice resource deployment rule on the access network device side from a first target number card access volume logic table on the access network device side includes:

[0020] According to the first number card access quantity included in the first hard slice resource matching condition, determine the first number card interval to which the first target number card belongs from the first target number card access quantity logic table on the access network device side;

[0021] According to the target RB reservation parameter included in the first number card interval and the first hard slice resource matching condition, determine the first target exclusive RB ratio of the first target number card from the first target number card access quantity logic table on the access network device side;

[0022] Generate a first hard slice resource deployment rule on the access network device side according to the first target exclusive RB ratio.

[0023] In an exemplary embodiment of the present disclosure, matching a first hard slice resource deployment rule on the access network device side from an access network device performance indicator change logic form includes:

[0024] According to the first occupancy rate of the target cell capacity parameter by the common number card, determining the first capacity interval to which the first target number card belongs from the access network device performance indicator change logic table;

[0025] According to the first capacity interval, determine the second target exclusive RB ratio of the first target number card from the access network device performance indicator change logic form;

[0026] Generate a first hard slice resource deployment rule on the access network device side according to the second target exclusive RB ratio.

[0027] In an exemplary embodiment of the present disclosure, the method for deploying hard slice resources further includes:

[0028] When it is detected that the first occupancy rate of the target cell capacity parameter by the ordinary number card at any moment is less than the first preset threshold, the matching form of the first hard slice resource deployment rule is switched from the access network device performance indicator change logic form to the first target number card access quantity logic form on the access network device side.

[0029] In an exemplary embodiment of the present disclosure, the second preset logic form includes a first target number card access quantity logic form on the bearer network side and / or a bearer network equipment performance indicator change logic form;

[0030] Among them, matching the second hard slice resource deployment rule on the bearer network device side from the second preset logic form according to the second hard slice resource matching condition includes:

[0031] Obtaining a first peak flow of a common number card with a second number card category, and calculating a second occupancy rate of the first peak flow to the peak flow of the target bearer network device;

[0032] When it is determined that the second occupancy rate of the first peak traffic to the peak traffic of the target bearer network device is less than a second preset threshold, matching the second hard slice resource deployment rule on the bearer network device side from the first target number card access volume logic table on the bearer network side;

[0033] When it is determined that the second occupancy rate of the first peak traffic to the peak traffic of the target bearer network device is greater than or equal to a second preset threshold, the second hard slice resource deployment rule on the bearer network device side is matched from the bearer network device performance indicator change logic form.

[0034] In an exemplary embodiment of the present disclosure, matching a second hard slice resource deployment rule on the bearer network device side from a first target number card access amount logic table on the bearer network side includes:

[0035] According to the second card access quantity included in the second hard slice resource matching condition, determine the second card interval to which the second target card belongs from the first target card access quantity logic table on the bearer network side;

[0036] According to the binding ratio parameter of the target flexible Ethernet included in the second number card interval and the second hard slice resource matching condition, determine the first slice bandwidth and the first buffer area bandwidth of the second target number card from the first target number card access volume logic table on the bearer network side;

[0037] A second hard slice resource deployment rule on the bearer network device side is generated based on the first slice bandwidth and the first buffer area bandwidth.

[0038] In an exemplary embodiment of the present disclosure, matching the second hard slice resource deployment rule on the bearer network device side from the bearer network device performance indicator change logic form includes:

[0039] Determine the first peak flow interval to which the second target number card belongs from the bearer network equipment performance indicator change logic table according to the first peak flow;

[0040] Determine the second slice bandwidth and the second buffer area bandwidth of the second target number card from the bearer network equipment performance indicator change logic table according to the first peak traffic interval;

[0041] According to the second slice bandwidth and the second buffer area bandwidth, a second hard slice resource deployment rule on the bearer network device side is generated.

[0042] In an exemplary embodiment of the present disclosure, the method for deploying hard slice resources further includes:

[0043] When it is detected that the second occupancy rate of the first peak traffic to the peak traffic of the target bearer network device at any moment is less than a second preset threshold, the matching form of the second hard slice resource deployment rule is switched from the bearer network device performance indicator change logic form to the second hard slice resource deployment rule on the bearer network device side.

[0044] According to one aspect of the present disclosure, a deployment device for hard slice resources is provided, including:

[0045] A slice resource matching condition generation module, used to obtain a target number card with a first number card category from a customer relationship management system, and generate a first hard slice resource matching condition and a second hard slice resource matching condition according to the number of number card accesses of the target number card;

[0046] a resource deployment rule matching module, configured to match a first hard slice resource deployment rule on the access network device side from a first preset logical form according to the first hard slice resource matching condition, and match a second hard slice resource deployment rule on the bearer network device side from a second preset logical form according to the second hard slice resource matching condition;

[0047] The resource deployment rule sending module is used to send the first hard slice resource deployment rule to the access network device to achieve elastic shrinkage of the hard slice resources of the access network device, and send the second hard slice resource deployment rule to the bearer network device to achieve elastic shrinkage of the hard slice resources on the bearer network device side.

[0048] According to one aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the hard slice resource deployment method described in any one of the above is implemented.

[0049] According to one aspect of the present disclosure, there is provided an electronic device, including:

[0050] Processor; and

[0051] A memory, configured to store executable instructions of the processor;

[0052] Wherein, the processor is configured to execute any one of the above-mentioned hard slice resource deployment methods by executing the executable instructions.

[0053] A method for deploying hard slice resources provided by an embodiment of the present disclosure, on the one hand, obtains a target number card with a first number card category from a customer relationship management system, and generates a first hard slice resource matching condition and a second hard slice resource matching condition according to the number card access quantity of the target number card; then matches a first hard slice resource deployment rule on the access network device side from a first preset logical form according to the first hard slice resource matching condition, and matches a second hard slice resource deployment rule on the bearer network device side from a second preset logical form according to the second hard slice resource matching condition; finally, sends the first hard slice resource deployment rule to the access network device to implement hard slicing of the access network device. The resources are elastically shrunk, and the second hard slice resource deployment rule is sent to the bearer network device to realize the elastic shrinkage of the hard slice resources on the bearer network device side, realizing the elastic shrinkage of the hard slice resources on the access network device side and the bearer network device side, thereby solving the problem of low utilization of slice resources due to the large occupation of hard slice resources in the prior art, and improving the utilization efficiency of hard slice resources; on the other hand, since the corresponding resource matching conditions can be determined according to the number of number card accesses of the target number card, and then the hard slice resources can be elastically shrunk according to the resource matching conditions, the purpose of reasonable application of hard slice resources can be achieved on the basis of meeting customer needs.

[0054] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] The accompanying drawings herein are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present disclosure, and together with the specification are used to explain the principles of the present disclosure. Obviously, the accompanying drawings described below are only some embodiments of the present disclosure, and for ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without creative work.

[0056] Figure 1 A flowchart of a method for deploying hard slice resources according to an example embodiment of the present disclosure is schematically shown.

[0057] Figure 2 An example diagram of an application scenario of a method for deploying hard slice resources according to an example embodiment of the present disclosure is schematically shown.

[0058] Figure 3 An example diagram schematically illustrates a communication process between a user device and a network device according to an example embodiment of the present disclosure.

[0059] Figure 4 A block diagram of a deployment system for hard slice resources according to an example embodiment of the present disclosure is schematically shown.

[0060] Figure 5 A block diagram schematically shows another system for deploying hard slice resources according to an example embodiment of the present disclosure.

[0061] Figure 6 An example diagram schematically shows a first target number card access quantity logic form on an access network device side according to an example embodiment of the present disclosure.

[0062] Figure 7 An example diagram of a logical form of access network device performance indicator changes according to an example embodiment of the present disclosure is schematically shown.

[0063] Figure 8 An example diagram schematically shows a logical table of the first target number card access quantity on the bearer network side according to an example embodiment of the present disclosure.

[0064] Fig. 9 An example diagram schematically shows a logical table of changes in performance indicators of a bearer network device according to an example embodiment of the present disclosure.

[0065] Fig.10 A block diagram of a deployment device for hard slice resources according to an example embodiment of the present disclosure is schematically shown.

[0066] Fig.11 An electronic device for implementing the above-mentioned method for deploying hard slice resources according to an example embodiment of the present disclosure is schematically shown. DETAILED DESCRIPTION

[0067] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as being limited to the examples set forth herein; on the contrary, these embodiments are provided so that the present disclosure will be more comprehensive and complete, and the concepts of the example embodiments are fully conveyed to those skilled in the art. The described features, structures, or characteristics may be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced while omitting one or more of the specific details, or other methods, components, devices, steps, etc. may be adopted. In other cases, known technical solutions are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0068] In addition, the accompanying drawings are only schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor devices and / or microcontroller devices.

[0069] In the existing 5G customized network solutions that have been released, the so-called 5G customized network is: = 5G customized network 5G + edge + cloud + X. Among them, for the concept of "customized network", the focus is on the word "customization"; that is, it can fully utilize the advantages of 5G technology with high bandwidth, low latency and wide connection to provide a 5G end-to-end slicing solution for different business scenarios of customers in different industries, and fully meet the end-to-end digital needs of customers in different industries during the process of information transformation and upgrading.

[0070] In the specific application process, the core of customized slicing is to provide customers with an end-to-end isolated channel for user data transmission from 5G base station-bearing network uplink-core network diversion-bearing network traffic offloading downlink-customer intranet. At present, in the specific implementation process, it is mainly divided into two scenarios: soft slicing and hard slicing; among them, soft slicing can be configured by corresponding 2B slicing on the base station and core network sides, and the core network configures a dedicated DNN (Data Network Name) to divert to the 2B UPF (User Plane Function) network element to distinguish 2B and 2C user resources. The bearer network uses 2B shared channels + downlink 5G dedicated lines to provide a certain proportion of large customers with shared bandwidth resources, thereby providing 2B industry customers with end-to-end logical isolation channels; while hard slicing upgrades channel resources on the basis of soft slicing, such as configuring RB resource reservation on the 5G base station side, and using FlexE (Flexible Ethernet) + VPN (Virtual Private Network) technology on the bearer network side to simulate the division of customer exclusive bandwidth, etc., to further provide important large industry customers with end-to-end slicing channels with exclusive carrier resource blocks or bandwidth resources.

[0071] Based on the above records, it can be known that the 5G customized network hard slicing mode provides large customers with end-to-end slicing channels that exclusively enjoy fixed-ratio channel resources, which has the problem of more 5G slice resources and lower slice utilization; however, for large industry customers with extremely high security requirements and wide access point coverage, 5G hard slicing is a good 5G industry application channel solution, and in terms of market value, it is also beneficial for telecommunications to use its powerful infrastructure resources to strongly seize large industry customers of 5G customized networks. However, how to quickly seize the 5G market of large industry customers through the 5G hard slicing mode while avoiding the waste of bearer network and base station 2B slice resources has become a crucial issue.

[0072] Under this premise, this exemplary embodiment first provides a method for deploying hard slice resources, which can be run on a server, server cluster or cloud server on the network side; of course, those skilled in the art can also run the method disclosed in this disclosure on other platforms as required, and this exemplary embodiment does not specifically limit this. Figure 1 As shown, the deployment method of the hard slice resource may include the following steps:

[0073] Step S110. Obtain a target number card with a first number card category from the customer relationship management system, and generate a first hard slice resource matching condition and a second hard slice resource matching condition according to the number of number card accesses of the target number card;

[0074] Step S120. Match a first hard slice resource deployment rule on the access network device side from a first preset logical form according to the first hard slice resource matching condition, and match a second hard slice resource deployment rule on the bearer network device side from a second preset logical form according to the second hard slice resource matching condition;

[0075] Step S130. Send the first hard slice resource deployment rule to the access network device to achieve elastic contraction of the hard slice resources of the access network device, and send the second hard slice resource deployment rule to the bearer network device to achieve elastic contraction of the hard slice resources on the bearer network device side.

[0076] In the above-mentioned hard slice resource deployment method, on the one hand, a target number card with a first number card category is obtained from a customer relationship management system, and a first hard slice resource matching condition and a second hard slice resource matching condition are generated according to the number card access quantity of the target number card; then, according to the first hard slice resource matching condition, a first hard slice resource deployment rule on the access network device side is matched from a first preset logical form, and according to the second hard slice resource matching condition, a second hard slice resource deployment rule on the bearer network device side is matched from a second preset logical form; finally, the first hard slice resource deployment rule is sent to the access network device to realize the hard slice resource elasticity of the access network device. Shrink, and send the second hard slice resource deployment rule to the bearer network device to realize the elastic shrinkage of the hard slice resources on the bearer network device side, and realize the elastic shrinkage of the hard slice resources on the access network device side and the bearer network device side, thereby solving the problem of low utilization of slice resources due to the large occupation of hard slice resources in the prior art, and improving the utilization efficiency of hard slice resources; on the other hand, since the corresponding resource matching conditions can be determined according to the number of number cards accessed by the target number card, and then the hard slice resources can be elastically shrunk according to the resource matching conditions, the purpose of reasonable application of hard slice resources can be achieved on the basis of meeting customer needs.

[0077] Hereinafter, the deployment method of hard slice resources of the exemplary embodiment of the present disclosure will be explained and illustrated in detail with reference to the accompanying drawings.

[0078] First, the terms involved in the exemplary embodiments of the present disclosure are explained and illustrated.

[0079] Hard Slicing refers to the allocation of network resources to different customers or applications in a completely isolated manner based on 5G software-based and cloud-based architecture.

[0080] Soft Slicing refers to the dynamic allocation of network resources to different services based on QoS (Quality of Service) technology.

[0081] 2B (to Business) is for businesses; 2C (to Customer) is for consumers.

[0082] Secondly, the application scenario of the deployment method of hard slice resources recorded in the exemplary embodiment of the present disclosure is explained and illustrated. Specifically, the deployment method of hard slice resources recorded in the exemplary embodiment of the present disclosure can be applied to a scenario including a network device 210 and a user device 220. Among them, the network device may include but is not limited to an access network device, a bearer network device, a core network device, and the like; the user device may include any device that can access the network, and this example does not impose special restrictions on this. It should be supplemented here that when the user equipment is within the coverage of a cell (or carrier) provided by a macro base station or a small base station, the user equipment can communicate with the network equipment through the transmission resources used by the cell, and the cell may be the cell corresponding to the network equipment; at the same time, the user equipment recorded here may include a 2B user equipment or a 2C user equipment, and this example does not impose special restrictions on this.

[0083] Furthermore, the specific communication process between the user equipment and the network equipment is explained and illustrated. Figure 3 As shown, in the specific network access process, during the uplink signal transmission process, the user equipment first accesses the access network device, then accesses the bearer network device, and then accesses the core network device; further, during the downlink signal transmission process, it is first sent from the core network device to the bearer network device, and then from the bearer network device to the user equipment.

[0084] Furthermore, the purpose of the invention of the example embodiment of the present disclosure is explained and illustrated. Specifically, the deployment method of the hard slice resource recorded in the example embodiment of the present disclosure provides a range of exclusive slice resource interval values ​​for customers by adopting the logical judgment method of elastic scaling deployment of 5G customized private network hard slice resources. At the same time, the relevant operation and maintenance department can trigger the elastic resource deployment and scaling of slices based on dynamic variable comparison and analysis such as channel performance quality indicator detection or 2B hard slice card online and offline changes, that is, reduce the exclusive slice occupancy ratio when the business is idle; increase the exclusive slice occupancy ratio when the business is busy, which fully meets the needs of 5G 2B industry application customers and reasonably provides hard slice resources to avoid the fixed long-term occupation of too many basic channel resources due to the development of hard slice business and continuously increase the expansion investment cost, thereby achieving the purpose of reducing the real-time cost of the project and improving the resource utilization of hard slices.

[0085] Furthermore, the deployment system of the hard slice resource described in the exemplary embodiment of the present disclosure is explained and illustrated. Figure 4As shown, the hard slice resource deployment system may include a customer relationship management system (CRM, Customer Relationship Management) 401, a first resource deployment rule orchestration system 402, and a second resource deployment rule orchestration system 403; wherein the customer relationship management system is respectively connected to the first resource deployment rule orchestration system and the second resource deployment rule orchestration system, the customer relationship management system is used to store data sources, and the first resource deployment rule orchestration system and the second resource deployment rule orchestration system are respectively used to generate the first hard slice resource deployment rule on the access network device side and the second hard slice resource deployment rule on the bearer network device side. At the same time, refer to Figure 5 As shown, the customer relationship management system may include an RRC capacity data source 501, a flow data source 502, and a target number card access data source 503. The specific functions of each data source will be introduced one by one later, and will not be repeated here.

[0086] In some example embodiments, in order to implement the deployment method of hard slice resources recorded in the example embodiments of the present disclosure, it is first necessary to provide system capabilities for automatic slice deployment; wherein, the system capabilities required for automatic slice deployment include the following aspects: on the one hand, the ability to automatically deploy wireless slices is completed; that is, the 5G wireless base station network management system needs to be included in the relevant acquisition and control, and the base station slice resources corresponding to the 5G customized network 2B slice card are automatically activated (including resource block reservation, 2B dedicated slice ID and other configurations), that is, after the customized capability is accepted from the CRM, the slice configuration is automatically issued to the provincial wireless network management through the group's new generation of mobilization acquisition and control orchestration capabilities to complete the base station slice configuration; on the other hand, the ability to automatically deploy 5G bearer network slices is completed; that is, the 5G bearer network network management system needs to be included in the relevant acquisition and control, and the bearer network slice resources corresponding to the 5G customized network 2B slice card are automatically activated (FlexE ratio binding, customer VPN (Virtual Private Network) or PW (Pseudo Wire, virtual link) channel configuration, business routing configuration, etc.), that is, after the customized capability is accepted from CRM, the group's new generation of mobilization 2-level acquisition and control 2-level orchestration center capabilities will automatically send slice configuration to the provincial 5G bearer network network management to complete the customer business slice configuration.

[0087] In some example embodiments, the parameters involved in the deployment method of hard slice resources recorded in the example embodiments of the present disclosure may include: the number of access 2B cards: the increase and decrease of the access volume of the slice card and the corresponding access area parameter source are from the CRM acceptance system, which is pushed to the Chongqing Telecom wireless and bearer network network management system through the new generation of the group to the acquisition and control arrangement, and then pushed to the Chongqing Telecom wireless and bearer network network management system, so as to provide a real-time and accurate data source for the access volume of the 2B card as the corresponding logical form; cell capacity parameters: can be collected and monitored in real time from the corresponding 2B station through the wireless network management system; RB reservation parameters: wireless network management system configuration operation data; 5G bearer network peak traffic: the bearer network network management system collects and monitors the corresponding equipment in real time; FlexE binding ratio parameters: bearer network network management system configuration operation data. In the specific application process, the above-mentioned logical judgment form can be embedded in the corresponding communication acquisition and control arrangement center system in advance, and the execution order is arranged according to the logical priority relationship; at the same time, according to the above-described 5 types of parameter data sources, the extraction results are pushed to trigger the execution conditions in the logic form, and then the corresponding slice configuration is automatically issued to the corresponding base station or bearer network equipment through the arrangement capability to achieve elastic scaling of slice resources.

[0088] The following will be combined Figure 2 as well as Figure 5 right Figure 1 The deployment method of hard slice resources proposed in the article is further explained and illustrated. Specifically:

[0089] In step S110, a target number card with a first number card category is obtained from the customer relationship management system, and a first hard slice resource matching condition and a second hard slice resource matching condition are generated according to the number of number card accesses of the target number card.

[0090] In this example embodiment, first, it is necessary to obtain a target number card with a first number card category from a customer relationship management system; wherein the target number card with a first number card category recorded here is a 2B number card, which can be obtained from the target number card access quantity data source in the customer relationship management system; secondly, after obtaining the target number card, the first hard slice resource matching condition and the second hard slice resource matching condition can be generated according to the number card access quantity of the target number card. The specific generation process may include: first, based on the pre-signed target contract, selecting the first number card access quantity corresponding to the first target number card associated with the access network device and the second number card access quantity corresponding to the first target number card associated with the bearer network device from the target number card; secondly, generating the first hard slice resource matching condition according to the first number card access quantity, the target cell capacity parameter corresponding to the first target number card and the target RB reservation parameter; then, generating the second hard slice resource matching condition according to the second number card access quantity, the target bearer network device peak flow corresponding to the second target number card and the binding ratio parameter of the target flexible Ethernet.

[0091] That is, in actual applications, it is possible to determine whether the above-mentioned 2B card is specifically the 2B card on the access network device (base station) side or the 2B card on the bearer network side based on the target contract signed between the major customer and the relevant operator, and then generate the corresponding hard slice resource matching conditions based on the specific number of card accesses. It should be noted here that the first target card associated with the access network device and the second target card associated with the bearer network device may be consistent or inconsistent, or there may be partial consistency, partial inconsistency, and so on. In actual application, it can be determined based on the specific contract signed between the major customer and the relevant operator and the needs of the major customer, and this example does not impose any special restrictions on this.

[0092] In step S120, the first hard slice resource deployment rule on the access network device side is matched from the first preset logical form according to the first hard slice resource matching condition, and the second hard slice resource deployment rule on the bearer network device side is matched from the second preset logical form according to the second hard slice resource matching condition.

[0093] In this example embodiment, first, the first hard slice resource deployment rule on the access network device side is matched from the first preset logical form according to the first hard slice resource matching condition; wherein, the first preset logical form recorded here may include the first target number card access volume logical form on the access network device side and the access network device performance indicator change logical form, etc. Of course, other logical forms associated with the access network device side may also be set according to actual needs, and this example does not impose any special restrictions on this. Furthermore, matching the first hard slice resource deployment rule on the access network device side from the first preset logical form according to the first hard slice resource matching condition can be implemented in the following manner: first, obtaining an ordinary number card with a second number card category from the customer relationship management system, and calculating the first occupancy rate of the ordinary number card for the target cell capacity parameter included in the first hard slice resource matching condition; secondly, if the first occupancy rate of the ordinary number card for the target cell capacity parameter is less than the first preset threshold, matching the first hard slice resource deployment rule on the access network device side from the first target number card access volume logical form on the access network device side; if the first occupancy rate of the ordinary number card for the target cell capacity parameter is greater than or equal to the first preset threshold, matching the first hard slice resource deployment rule on the access network device side from the access network device performance indicator change logical form.

[0094] In an example embodiment, matching the first hard slice resource deployment rule on the access network device side from the first target number card access quantity logical form on the access network device side can be achieved in the following manner: first, according to the first number card access quantity included in the first hard slice resource matching condition, determine the first number card interval to which the first target number card belongs from the first target number card access quantity logical form on the access network device side; secondly, according to the first number card interval and the target RB reservation parameter included in the first hard slice resource matching condition, determine the first target exclusive RB ratio of the first target number card from the first target number card access quantity logical form on the access network device side; then, generate the first hard slice resource deployment rule on the access network device side according to the first target exclusive RB ratio.

[0095] In an example embodiment, matching the first hard slice resource deployment rule on the access network device side from the access network device performance indicator change logic form can be achieved in the following manner: first, according to the first occupancy rate of the ordinary number card to the target cell capacity parameter, determine the first capacity interval to which the first target number card belongs from the access network device performance indicator change logic form; secondly, according to the first capacity interval, determine the second target exclusive RB ratio of the first target number card from the access network device performance indicator change logic form; then, generate the first hard slice resource deployment rule on the access network device side according to the second target exclusive RB ratio.

[0096] In an example embodiment, the hard slice resource deployment method also includes: when it is detected that the first occupancy rate of the ordinary number card for the target cell capacity parameter at any moment is less than a first preset threshold, the matching form of the first hard slice resource deployment rule is switched from the access network device performance indicator change logic form to the first target number card access quantity logic form on the access network device side.

[0097] Below, the specific generation process of the first hard slice resource deployment rule will be explained and illustrated.

[0098] First, the first target number card access quantity logic form on the access network device side in the first preset logic form recorded above is explained and illustrated. Specifically, the first target number card access quantity logic form on the access network device side recorded here records the elastic scaling judgment logic of the exclusive dedicated RB (Resource Block) reservation ratio of the 5G 2B wireless base station (referred to as logic 1 here); wherein, the specific implementation process of the logic 1 is to trigger the elastic scaling judgment method of the hard slice resource based on the increase or decrease of the 2B hard slice number card access quantity; that is, a 2B station hard slice number card form management form can be formed based on a single large customer as the dimension, and the exclusive RB reservation demand interval ratio can be set according to the contract agreement, and the slice resources can be allocated according to the matching 2B number card access quantity, thereby improving the 5G channel resource utilization rate; at the same time, a judgment logic table is formulated based on the empirical value of the 2B base station operation and maintenance observation within a certain time period, and specific references can be made to it. Figure 6 As shown. Further, Figure 6 As shown in the judgment logic table, the logic form can be embedded in the execution system, and the corresponding RB reservation ratio in the form can be adjusted by changing the parameter of the number of access 2B cards and automatically refreshing the configuration, so as to realize elastic scaling of exclusive RB resource reservation; at the same time, the purpose of this logic judgment method is to give priority to the access quality of 2B station hard slice customers under any circumstances, while rationally and dynamically allocating customers' exclusive RB resources, especially when the 2C access volume of a single cell accounts for a small proportion and the total capacity changes are always not too large. The change in the number of 2B card accesses can trigger the adjustment of the RB exclusive reservation ratio, so as to fully guarantee the 5G signal quality of 2B hard slice customers.

[0099] Secondly, the access network device performance indicator change logic form in the first preset logic form recorded above is explained and illustrated. Specifically, the access network equipment performance indicator change logic form recorded here (herein referred to as logic 2) records the judgment logic for triggering elastic scaling of hard slice resources based on changes in base station performance indicators; specifically, according to the daily operation and maintenance experience value, when the number of RRC (maximum number of connected users) of a single cell exceeds 280 (the 5G industry theoretical value peak single cell is 400), and the capacity exceeds 70% (network optimization adjustment will be performed when it exceeds 70%), the relevant performance indicators of the base station cell will decrease, and the 5G signal quality will be affected; at the same time, if the interval value of the exclusive RB reservation ratio of the 2B station is set to 5%-x% (the ratio is configured according to the 2B project contract), and a matching form of capacity and RB reservation ratio is planned, the exclusive RB reservation ratio is dynamically and automatically adjusted as the capacity changes, which fully meets the 5G access signal quality of 2B hard slice customers, and avoids the signal quality damage caused by the increase of 2C access due to the exclusive use of a fixed ratio of RB resources, thereby reducing the waste of wireless optimization and expansion investment; at the same time, according to the 2B base station operation and maintenance observation experience value within a certain time period, the judgment logic table can be formulated as follows Figure 7 As shown in the form recorded in Figure 7 In the form shown, the exclusive percentage of RBs reserved for a customer's hard slice card in a single cell is automatically adjusted as the cell capacity changes (mainly the increase or decrease in 2C access volume). The adjustment logic is as above. The form is embedded in the execution system, and the corresponding RB reservation ratio in the form is triggered by the change of capacity parameters and the configuration is automatically refreshed to achieve elastic scaling of exclusive RB resource reservation.

[0100] It should be further explained here that, in the actual application process, the 2B base station cell exclusive resource RB reservation elastic scaling logic judgment rule executes the following conditions: Condition 1, the priority of logic 1> the priority of logic 2, that is, logic 1 is executed first; Condition 2, in order to ensure the quality of 5G services for VIP customers of 5G customized network, 2B base station performs dynamic adjustment of RB reservation according to the form rule of logic 1 on a daily basis; Condition 3, if the access volume of 5G public customers in the area increases sharply to the capacity or RRC approaches the upper limit during operation, resulting in public customer quality declaration, logic 1 is stopped immediately, and the form rule of logic 2 is temporarily executed, and the configuration is automatically sent to complete the RB reservation ratio adjustment update; Condition 4: If the capacity or RRC decreases and returns to the normal state, the form rule of logic 2 is stopped and execution continues according to logic 1.

[0101] Secondly, the second hard slice resource deployment rule on the bearer network device side is matched from the second preset logical form according to the second hard slice resource matching condition; wherein, the second preset logical form recorded here may include the first target number card access quantity logical form on the bearer network side and the bearer network device performance indicator change logical form, etc. Of course, other logical forms associated with the bearer network device side may also be set according to actual needs, and this example does not impose any special restrictions on this. Among them, matching the second hard slice resource deployment rule on the bearer network device side from the second preset logical form according to the second hard slice resource matching condition can be achieved in the following manner: first, obtaining the first peak traffic of the ordinary number card with the second number card category, and calculating the second occupancy rate of the first peak traffic to the peak traffic of the target bearer network device; secondly, when it is determined that the second occupancy rate of the first peak traffic to the peak traffic of the target bearer network device is less than the second preset threshold, matching the second hard slice resource deployment rule on the bearer network device side from the first target number card access volume logical form on the bearer network side; then, when it is determined that the second occupancy rate of the first peak traffic to the peak traffic of the target bearer network device is greater than or equal to the second preset threshold, matching the second hard slice resource deployment rule on the bearer network device side from the bearer network device performance indicator change logical form.

[0102] In an example embodiment, matching the second hard slice resource deployment rule on the bearer network device side from the first target number card access quantity logic form on the bearer network side can be achieved in the following manner: first, according to the second number card access quantity included in the second hard slice resource matching condition, determine the second number card interval to which the second target number card belongs from the first target number card access quantity logic form on the bearer network side; secondly, according to the second number card interval and the binding ratio parameter of the target flexible Ethernet included in the second hard slice resource matching condition, determine the first slice bandwidth and the first buffer area bandwidth of the second target number card from the first target number card access quantity logic form on the bearer network side; then, generate the second hard slice resource deployment rule on the bearer network device side according to the first slice bandwidth and the first buffer area bandwidth.

[0103] In an example embodiment, matching the second hard slice resource deployment rule on the bearer network device side from the bearer network device performance indicator change logic form can be achieved in the following manner: first, determining the first peak flow interval to which the second target number card belongs from the bearer network device performance indicator change logic form according to the first peak flow; secondly, determining the second slice bandwidth and the second buffer area bandwidth of the second target number card from the bearer network device performance indicator change logic form according to the first peak flow interval; and then, generating the second hard slice resource deployment rule on the bearer network device side according to the second slice bandwidth and the second buffer area bandwidth.

[0104] In an example embodiment, the hard slice resource deployment method also includes: when it is detected that the second occupancy rate of the first peak traffic to the target bearer network device peak traffic at any moment is less than a second preset threshold, switching the matching form of the second hard slice resource deployment rule from the bearer network device performance indicator change logic form to the second hard slice resource deployment rule on the bearer network device side.

[0105] Below, the specific generation process of the second hard slice resource deployment rule will be explained and illustrated.

[0106] First, the first target number card access quantity logic form on the bearer network side in the second preset logic form recorded above is explained and illustrated. Specifically, the first target number card access quantity logic form on the bearer network side records the judgment logic of the elastic scaling of the hard slice binding ratio of the bearer network 5G access device FlexE (Flexible Ethernet) (here it can be referred to as logic 3); wherein, the first target number card access quantity logic form on the bearer network side records the judgment method based on the increase or decrease of the 2B hard slice number card access quantity to trigger the elastic scaling of hard slice resources; specifically, a 5G bearer network access device FlexE hard slice resource management form can be formed with a single access area (corresponding to the wireless 2B station area division) as the dimension, and the exclusive flex-e port bandwidth ratio is set according to the customer contract agreement, and the proportion of resources is dynamically allocated according to the hard slice channel access traffic, thereby improving the 5G channel in the bearer network resource utilization rate; wherein, the specific form obtained by formulating the judgment logic table based on the 5G 2B project operation and maintenance observation experience value within a certain time period can be referred to Figure 8 As shown; further, in Figure 8 In the table shown, for example, the FlexE hard slice binding ratio of a 2B base station access area corresponding to the bearer network device is divided into 2B:2C:buffer=20:30:10; among them, the minimum binding granularity in the 2B binding channel is 1G, that is, a single bearer network access device can access 20 2B hard slice customers, and the minimum slice bandwidth is 1G / customer; at the same time, when the number of slice number cards of a 2B customer accessing the bearer network device increases or decreases according to the left column, the buffer binding bandwidth is triggered to be transferred into the 2B binding bandwidth area, so the corresponding 2B binding bandwidth changes according to the rightmost column. This logical table is embedded in the execution system, and the change of the bundled bandwidth is triggered by the change of the number of access parameters of a 2B customer number card and the configuration is automatically refreshed, so as to realize the dynamic elastic scaling of hard slices and improve the utilization rate of 5G bearer network channels.

[0107] Secondly, the logic form of the change of the performance index of the bearer network equipment in the second preset logic form recorded above is explained and illustrated. Among them, the logic form of the change of the performance index of the bearer network equipment (here it can be referred to as logic 4) records the judgment method of triggering the elastic scaling of hard slice resources based on the change of the performance index of the bearer network access equipment; specifically, according to the daily operation and maintenance experience value, the 5G bearer network access single A device uplink capacity is 50G, and the traffic exceeds 40%, an alarm is issued, the relevant performance indicators are reduced, and there is a possibility of congestion affecting the communication quality; at the same time, if FlexE is enabled for the A device and the ratio interval value of the bundled 2B channel is set to 1G-20G, and a corresponding matching form of the traffic and the flex-e channel bundled bandwidth ratio is planned; further, the exclusive bandwidth ratio of the 2C channel is dynamically and automatically adjusted as the traffic changes, especially to avoid the situation that when the 2C peak traffic surges periodically, the bearer network bandwidth resources are insufficient and the 2B channel redundancy is too large to be released, resulting in a waste of investment and expansion; among them, the judgment logic table is formulated according to the 5G bearer network operation and maintenance observation experience within a certain time period, which can be specifically referred to Fig. 9 Further, in Fig. 9 In the table shown, the FlexE hard slice binding ratio of a certain 2B base station access area corresponding to the bearer network device is divided into 2B:2C:buffer=20:30:10; among them, the minimum binding granularity in the 2B binding channel is 1G, that is, a single bearer network access device can access 20 2B hard slice customers, and the minimum slice bandwidth is 1G / customer; further, when the peak traffic of the bearer network device increases or decreases according to the left column, the buffer binding bandwidth is correspondingly transferred to the 2C client according to the logical order of the table, so the 2C client binding bandwidth changes accordingly; at the same time, the logical table is embedded in the execution system, and the change of its bundled bandwidth ratio is triggered by the change of the device peak traffic parameters and the configuration is automatically refreshed, so as to realize dynamic elastic scaling of hard slices and improve the utilization rate of 5G bearer network channels.

[0108] It should be noted here that the 5G bearer network's exclusive FlexE slice elastic scaling logic judgment rules may include the following conditions: Condition 1, the priority of logic 3 > the priority of logic 4, that is, logic 3 needs to be executed first; Condition 2, to ensure the quality of 5G services for VIP customers of the 5G customized network, the 5G bearer network executes FlexE slice binding according to the form rules of logic 3 on a daily basis; Condition 3, if the peak traffic of 5G public customers in the area increases sharply to the upper limit of the bearer network traffic warning during operation, resulting in a public customer quality declaration, logic 3 is immediately stopped and the form rules of logic 4 are temporarily executed, and the configuration is automatically issued to complete the FlexE binding ratio adjustment and update; Condition 4, if the traffic returns to the normal state, the form rules of logic 4 are stopped and continued to be executed according to the form rules of logic 3.

[0109] It needs to be further explained here that the trigger thresholds of the above-mentioned base station (access network equipment) and bearer network slice elastic scaling logic judgment form are calculated according to the actual situation of the existing network and parameter evaluation collected in a specific area during the actual application process; at the same time, taking into account the differences in network operation conditions and customer needs in various regions, if this method is used for 5G network deployment in other regions, the judgment thresholds are set based on local actual conditions; at the same time, in the actual application process, the specific judgment process of each threshold can also be implemented through a neural network model, and this example does not impose any special restrictions on this.

[0110] In step S130, the first hard slice resource deployment rule is sent to the access network device to achieve elastic contraction of the hard slice resources of the access network device, and the second hard slice resource deployment rule is sent to the bearer network device to achieve elastic contraction of the hard slice resources on the bearer network device side.

[0111] Specifically, after obtaining the first hard slice resource deployment rule and the second hard slice resource deployment rule, the first hard slice resource deployment rule can be sent to the access network device side, and the second hard slice resource deployment rule can be sent to the bearer network device side, thereby realizing the corresponding elastic contraction of hard slice resources, so as to improve the user experience of 2B card users on the basis of improving the utilization rate of hard slice resources.

[0112] At this point, the deployment method of hard slice resources recorded in the example embodiments of the present disclosure has been completed. Below, the deployment method of hard slice resources recorded in the example embodiments of the present disclosure will be further explained and illustrated in combination with specific example embodiments. Specifically, taking a certain specific area as an example, the hard slice technology currently provided to large customers in this area is to reserve a fixed proportion of carrier resources + exclusively enjoy a certain proportion of bearer network bandwidth resources, and the exclusive value remains constant after configuration (unless large-scale network optimization and cutover adjustments are performed), which not only causes a large waste of existing network resources, but also causes excessively high project implementation costs, and is not conducive to the efficiency of sales delivery and after-sales operation and maintenance specifications. The technical practicality is poor and difficult to replicate and promote; however, the logical judgment method provided by the example embodiments of the present disclosure can change these pain points in a targeted manner, while ensuring that large industry customers with rigid demand for hard slices are provided with real and reliable hard slices, and greatly improve the utilization rate of Chongqing Telecom's existing 5G slice resources, and well balances replication and promotion and practicality.

[0113] For example, the existing major online customer "State Grid Re-divided 5G Customized Network Production Control Area Hard Slice Project" in this specific area has configured a minimum 5% RB resource reservation for the base station for 5G access points with business needs. The bearer network access area exclusively uses A equipment, and the aggregation layer exclusively uses 1G FlexE bandwidth resources to open up the end-to-end data forwarding channel from 2B station to the sinking UPF. At the same time, after the project pilot test, due to the large occupation of basic communication resources in this specific area, the project implementation cost is very high. At present, there are only 17 pilot card accesses (17 different points of wide area access), which still monopolize the above-mentioned slice resource channel, making it difficult to use the existing test solution to launch 5G services on a large scale. However, the deployment method of hard slice resources provided by the present disclosure solves this problem well. At the same time, through the logical judgment method provided in the exemplary embodiment of the present disclosure, 5G slice resources are automatically and elastically deployed on the 2B base station and the bearer network, which improves the intelligent degree of operation and maintenance of the State Grid 5G customized network and the rationality of hard slice deployment. More importantly, it greatly reduces the subsequent large-scale 5G hard slice access implementation cost of this project and improves the project investment return rate.

[0114] The exemplary embodiment of the present disclosure also provides a deployment device for hard slice resources. Fig.10 As shown, the hard slice resource deployment device may include a slice resource matching condition generation module 1010, a resource deployment rule matching module 1020, and a resource deployment rule issuing module 1030.

[0115] in:

[0116] The slice resource matching condition generating module 1010 may be used to obtain a target number card having a first number card category from a customer relationship management system, and generate a first hard slice resource matching condition and a second hard slice resource matching condition according to the number of number card accesses of the target number card;

[0117] The resource deployment rule matching module 1020 may be configured to match a first hard slice resource deployment rule on the access network device side from a first preset logical form according to the first hard slice resource matching condition, and match a second hard slice resource deployment rule on the bearer network device side from a second preset logical form according to the second hard slice resource matching condition;

[0118] The resource deployment rule sending module 1030 can be used to send the first hard slice resource deployment rule to the access network device to achieve elastic shrinkage of the hard slice resources of the access network device, and send the second hard slice resource deployment rule to the bearer network device to achieve elastic shrinkage of the hard slice resources on the bearer network device side.

[0119] In the above-mentioned hard slice resource deployment device, on the one hand, a target number card with a first number card category is obtained from a customer relationship management system, and a first hard slice resource matching condition and a second hard slice resource matching condition are generated according to the number card access quantity of the target number card; then, according to the first hard slice resource matching condition, a first hard slice resource deployment rule on the access network device side is matched from a first preset logical form, and according to the second hard slice resource matching condition, a second hard slice resource deployment rule on the bearer network device side is matched from a second preset logical form; finally, the first hard slice resource deployment rule is sent to the access network device to realize the hard slice resource elasticity of the access network device. Shrink, and send the second hard slice resource deployment rule to the bearer network device to realize the elastic shrinkage of the hard slice resources on the bearer network device side, and realize the elastic shrinkage of the hard slice resources on the access network device side and the bearer network device side, thereby solving the problem of low utilization of slice resources due to the large occupation of hard slice resources in the prior art, and improving the utilization efficiency of hard slice resources; on the other hand, since the corresponding resource matching conditions can be determined according to the number of number cards accessed by the target number card, and then the hard slice resources can be elastically shrunk according to the resource matching conditions, the purpose of reasonable application of hard slice resources can be achieved on the basis of meeting customer needs.

[0120] In an exemplary embodiment of the present disclosure, a first hard slice resource matching condition and a second hard slice resource matching condition are generated according to the number of number card accesses of the target number card, including: based on a pre-signed target contract, selecting from the target number card the first number card access number corresponding to the first target number card associated with the access network device, and the second number card access number corresponding to the first target number card associated with the bearer network device; generating the first hard slice resource matching condition according to the first number card access number, the target cell capacity parameter corresponding to the first target number card, and the target RB reservation parameter; generating the second hard slice resource matching condition according to the second number card access number, the target bearer network device peak traffic corresponding to the second target number card, and the binding ratio parameter of the target flexible Ethernet.

[0121] In an exemplary embodiment of the present disclosure, the first preset logic form includes a first target number card access quantity logic form and / or an access network device performance indicator change logic form on the access network device side;

[0122] Among them, according to the first hard slice resource matching condition, the first hard slice resource deployment rule on the access network device side is matched from the first preset logical form, including: obtaining an ordinary number card with a second number card category from the customer relationship management system, and calculating the first occupancy rate of the ordinary number card to the target cell capacity parameter included in the first hard slice resource matching condition; if the first occupancy rate of the ordinary number card to the target cell capacity parameter is less than the first preset threshold, then matching the first hard slice resource deployment rule on the access network device side from the first target number card access volume logical form on the access network device side; if the first occupancy rate of the ordinary number card to the target cell capacity parameter is greater than or equal to the first preset threshold, then matching the first hard slice resource deployment rule on the access network device side from the access network device performance indicator change logical form.

[0123] In an exemplary embodiment of the present disclosure, the first hard slice resource deployment rule on the access network device side is matched from the first target number card access quantity logical form on the access network device side, including: determining the first number card interval to which the first target number card belongs from the first target number card access quantity logical form on the access network device side according to the first number card access quantity included in the first hard slice resource matching condition; determining the first target exclusive RB ratio of the first target number card from the first target number card access quantity logical form on the access network device side according to the first number card interval and the target RB reservation parameter included in the first hard slice resource matching condition; and generating the first hard slice resource deployment rule on the access network device side according to the first target exclusive RB ratio.

[0124] In an exemplary embodiment of the present disclosure, the first hard slice resource deployment rule on the access network device side is matched from the access network device performance indicator change logic form, including: determining the first capacity interval to which the first target number card belongs from the access network device performance indicator change logic form according to the first occupancy rate of the ordinary number card to the target cell capacity parameter; determining the second target exclusive RB ratio of the first target number card from the access network device performance indicator change logic form according to the first capacity interval; and generating the first hard slice resource deployment rule on the access network device side according to the second target exclusive RB ratio.

[0125] In an exemplary embodiment of the present disclosure, the deployment device of the hard slice resource may further include:

[0126] The first form switching module can be used to switch the matching form of the first hard slice resource deployment rule from the access network device performance indicator change logic form to the first target number card access volume logic form on the access network device side when it is detected that the first occupancy rate of the ordinary number card for the target cell capacity parameter at any time is less than the first preset threshold.

[0127] In an exemplary embodiment of the present disclosure, the second preset logic form includes a first target number card access quantity logic form on the bearer network side and / or a bearer network equipment performance indicator change logic form;

[0128] Among them, according to the second hard slice resource matching condition, the second hard slice resource deployment rule on the bearer network device side is matched from the second preset logical form, including: obtaining the first peak traffic of the ordinary number card with the second number card category, and calculating the second occupancy rate of the first peak traffic to the peak traffic of the target bearer network device; when it is determined that the second occupancy rate of the first peak traffic to the peak traffic of the target bearer network device is less than the second preset threshold, the second hard slice resource deployment rule on the bearer network device side is matched from the first target number card access volume logical form on the bearer network side; when it is determined that the second occupancy rate of the first peak traffic to the peak traffic of the target bearer network device is greater than or equal to the second preset threshold, the second hard slice resource deployment rule on the bearer network device side is matched from the bearer network device performance indicator change logical form.

[0129] In an exemplary embodiment of the present disclosure, the second hard slice resource deployment rule on the bearer network device side is matched from the first target number card access quantity logic form on the bearer network side, including: determining the second number card interval to which the second target number card belongs from the first target number card access quantity logic form on the bearer network side according to the second number card access quantity included in the second hard slice resource matching condition; determining the first slice bandwidth and the first buffer area bandwidth of the second target number card from the first target number card access quantity logic form on the bearer network side according to the second number card interval and the binding ratio parameter of the target flexible Ethernet included in the second hard slice resource matching condition; generating the second hard slice resource deployment rule on the bearer network device side according to the first slice bandwidth and the first buffer area bandwidth.

[0130] In an exemplary embodiment of the present disclosure, the second hard slice resource deployment rule on the bearer network device side is matched from the bearer network device performance indicator change logic form, including: determining the first peak flow interval to which the second target number card belongs from the bearer network device performance indicator change logic form according to the first peak flow; determining the second slice bandwidth and the second buffer area bandwidth of the second target number card from the bearer network device performance indicator change logic form according to the first peak flow interval; generating the second hard slice resource deployment rule on the bearer network device side according to the second slice bandwidth and the second buffer area bandwidth.

[0131] In an exemplary embodiment of the present disclosure, the deployment device of the hard slice resource may further include:

[0132] The second logic form switching module can be used to switch the matching form of the second hard slice resource deployment rule from the bearer network device performance indicator change logic form to the second hard slice resource deployment rule on the bearer network device side when it is detected that the second occupancy rate of the first peak traffic to the target bearer network device peak traffic at any moment is less than a second preset threshold.

[0133] The specific details of each module in the above-mentioned hard slice resource deployment device have been described in detail in the corresponding hard slice resource deployment method, so they will not be repeated here.

[0134] It should be noted that, although several modules or units of the device for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into multiple modules or units to be embodied.

[0135] In addition, although the steps of the method in the present disclosure are described in a specific order in the drawings, this does not require or imply that the steps must be performed in this specific order, or that all the steps shown must be performed to achieve the desired results. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step, and / or one step may be decomposed into multiple steps, etc.

[0136] In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.

[0137] Those skilled in the art will appreciate that various aspects of the present disclosure may be implemented as systems, methods or program products. Therefore, various aspects of the present disclosure may be specifically implemented in the following forms, namely: complete hardware implementation, complete software implementation (including firmware, microcode, etc.), or a combination of hardware and software, which may be collectively referred to herein as "circuits", "modules" or "systems".

[0138] Refer to the following Fig.11 1100 according to this embodiment of the present disclosure is described. Fig.11 The electronic device 1100 shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0139] like Fig.11As shown, the electronic device 1100 is in the form of a general computing device. The components of the electronic device 1100 may include, but are not limited to: the at least one processing unit 1110, the at least one storage unit 1120, a bus 1130 connecting different system components (including the storage unit 1120 and the processing unit 1110), and a display unit 1140.

[0140] The storage unit stores a program code, which can be executed by the processing unit 1110, so that the processing unit 1110 performs the steps described in the "Exemplary Method" section of the present specification according to various exemplary embodiments of the present disclosure. For example, the processing unit 1110 can perform the following steps: Figure 1 Step S110 shown in: obtaining a target number card with a first number card category from a customer relationship management system, and generating a first hard slice resource matching condition and a second hard slice resource matching condition according to the number of number card accesses of the target number card; step S120: matching a first hard slice resource deployment rule on the access network device side from a first preset logical form according to the first hard slice resource matching condition, and matching a second hard slice resource deployment rule on the bearer network device side from a second preset logical form according to the second hard slice resource matching condition; step S130: sending the first hard slice resource deployment rule to the access network device to realize elastic contraction of hard slice resources of the access network device, and sending the second hard slice resource deployment rule to the bearer network device to realize elastic contraction of hard slice resources on the bearer network device side.

[0141] The storage unit 1120 may include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 11201 and / or a cache storage unit 11202 , and may further include a read-only storage unit (ROM) 11203 .

[0142] The storage unit 1120 may also include a program / utility 11204 having a set (at least one) of program modules 11205, such program modules 11205 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0143] Bus 1130 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0144] The electronic device 1100 may also communicate with one or more external devices 1200 (e.g., keyboards, pointing devices, Bluetooth devices, etc.), may also communicate with one or more devices that enable a user to interact with the electronic device 1100, and / or communicate with any device that enables the electronic device 1100 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 1150. Furthermore, the electronic device 1100 may also communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via a network adapter 1160. As shown, the network adapter 1160 communicates with other modules of the electronic device 1100 via a bus 1130. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with the electronic device 1100, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0145] Through the description of the above implementation, it is easy for those skilled in the art to understand that the example implementation described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the implementation of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the implementation of the present disclosure.

[0146] In an exemplary embodiment of the present disclosure, a computer-readable storage medium is also provided, on which a program product capable of implementing the above method of the present specification is stored. In some possible implementations, various aspects of the present disclosure may also be implemented in the form of a program product, which includes a program code, and when the program product is run on a terminal device, the program code is used to enable the terminal device to execute the steps according to various exemplary implementations of the present disclosure described in the above "Exemplary Method" section of the present specification.

[0147] According to the program product for implementing the above method in the embodiment of the present disclosure, it can adopt a portable compact disk read-only memory (CD-ROM) and include program code, and can be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto. In this document, a readable storage medium can be any tangible medium containing or storing a program, which can be used by or in combination with an instruction execution system, an apparatus or a device.

[0148] The program product may use any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0149] Computer readable signal media may include data signals propagated in baseband or as part of a carrier wave, in which readable program code is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Readable signal media may also be any readable medium other than a readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0150] The program code embodied on the readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the foregoing.

[0151] Program code for performing the operations of the present disclosure may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving a remote computing device, the remote computing device may be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., through the Internet using an Internet service provider).

[0152] In addition, the above-mentioned figures are only schematic illustrations of the processes included in the method according to the exemplary embodiments of the present disclosure, and are not intended to be limiting. It is easy to understand that the processes shown in the above-mentioned figures do not indicate or limit the time sequence of these processes. In addition, it is also easy to understand that these processes can be performed synchronously or asynchronously, for example, in multiple modules.

[0153] Other embodiments of the present disclosure will be readily apparent to those skilled in the art after considering the specification and practicing the inventions invented herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not invented by the present disclosure. The specification and examples are to be considered merely exemplary, and the true scope and spirit of the present disclosure are indicated by the claims.

Claims

1. A method for deploying hard slice resources, characterized in that: include: Obtain a target number card with a first number card category from a customer relationship management system, and generate a first hard slice resource matching condition and a second hard slice resource matching condition according to the number of number card accesses of the target number card; Matching a first hard slice resource deployment rule on the access network device side from a first preset logical form according to the first hard slice resource matching condition, and matching a second hard slice resource deployment rule on the bearer network device side from a second preset logical form according to the second hard slice resource matching condition; The first hard slice resource deployment rule is sent to the access network device to achieve elastic contraction of the hard slice resources of the access network device, and the second hard slice resource deployment rule is sent to the bearer network device to achieve elastic contraction of the hard slice resources on the bearer network device side.

2. The method for deploying hard slice resources according to claim 1, characterized in that: Generating a first hard slice resource matching condition and a second hard slice resource matching condition according to the number of number card accesses of the target number card includes: Based on the pre-signed target contract, select from the target number cards the first number card access quantity corresponding to the first target number card associated with the access network device, and the second number card access quantity corresponding to the second target number card associated with the bearer network device; Generate a first hard slice resource matching condition according to the access quantity of the first number card, the target cell capacity parameter corresponding to the first target number card, and the target RB reservation parameter; The second hard slice resource matching condition is generated according to the number of accesses of the second number card, the peak traffic of the target bearer network device corresponding to the second target number card, and the binding ratio parameter of the target flexible Ethernet.

3. The method for deploying hard slice resources according to claim 2, characterized in that: The first preset logic form includes a first target number card access quantity logic form and an access network device performance indicator change logic form on the access network device side; Among them, matching a first hard slice resource deployment rule on the access network device side from a first preset logical form according to the first hard slice resource matching condition includes: Obtaining a common number card with a second number card category from a customer relationship management system, and calculating a first occupancy rate of the common number card for a target cell capacity parameter included in a first hard slice resource matching condition; If the first occupancy rate of the target cell capacity parameter by the common number card is less than the first preset threshold, the first hard slice resource deployment rule on the access network device side is matched from the first target number card access volume logic table on the access network device side; If the first occupancy rate of the target cell capacity parameter by the ordinary number card is greater than or equal to the first preset threshold, the first hard slice resource deployment rule on the access network device side is matched from the access network device performance indicator change logic form.

4. The method for deploying hard slice resources according to claim 3, characterized in that: Matching a first hard slice resource deployment rule on the access network device side from a first target number card access volume logic table on the access network device side includes: According to the first number card access quantity included in the first hard slice resource matching condition, determine the first number card interval to which the first target number card belongs from the first target number card access quantity logic table on the access network device side; According to the target RB reservation parameter included in the first number card interval and the first hard slice resource matching condition, determine the first target exclusive RB ratio of the first target number card from the first target number card access quantity logic table on the access network device side; Generate a first hard slice resource deployment rule on the access network device side according to the first target exclusive RB ratio.

5. The method for deploying hard slice resources according to claim 3, characterized in that: Matching the first hard slice resource deployment rule on the access network device side from the access network device performance indicator change logic form includes: According to the first occupancy rate of the target cell capacity parameter by the common number card, determining the first capacity interval to which the first target number card belongs from the access network device performance indicator change logic table; According to the first capacity interval, determine the second target exclusive RB ratio of the first target number card from the access network device performance indicator change logic form; Generate a first hard slice resource deployment rule on the access network device side according to the second target exclusive RB ratio.

6. The method for deploying hard slice resources according to any one of claims 3 to 5, characterized in that: The hard slice resource deployment method further includes: When it is detected that the first occupancy rate of the target cell capacity parameter by the ordinary number card at any moment is less than the first preset threshold, the matching form of the first hard slice resource deployment rule is switched from the access network device performance indicator change logic form to the first target number card access quantity logic form on the access network device side.

7. The method for deploying hard slice resources according to claim 2, characterized in that: The second preset logic form includes a first target number card access quantity logic form on the bearer network side and a bearer network equipment performance indicator change logic form; Among them, matching the second hard slice resource deployment rule on the bearer network device side from the second preset logic form according to the second hard slice resource matching condition includes: Obtaining a first peak flow of a common number card with a second number card category, and calculating a second occupancy rate of the first peak flow to the peak flow of the target bearer network device; When it is determined that the second occupancy rate of the first peak traffic to the peak traffic of the target bearer network device is less than a second preset threshold, matching the second hard slice resource deployment rule on the bearer network device side from the first target number card access volume logic table on the bearer network side; When it is determined that the second occupancy rate of the first peak traffic to the peak traffic of the target bearer network device is greater than or equal to a second preset threshold, the second hard slice resource deployment rule on the bearer network device side is matched from the bearer network device performance indicator change logic form.

8. A hard slice resource deployment device, characterized in that: include: A slice resource matching condition generation module, used to obtain a target number card with a first number card category from a customer relationship management system, and generate a first hard slice resource matching condition and a second hard slice resource matching condition according to the number of number card accesses of the target number card; a resource deployment rule matching module, configured to match a first hard slice resource deployment rule on the access network device side from a first preset logical form according to the first hard slice resource matching condition, and match a second hard slice resource deployment rule on the bearer network device side from a second preset logical form according to the second hard slice resource matching condition; The resource deployment rule sending module is used to send the first hard slice resource deployment rule to the access network device to achieve elastic shrinkage of the hard slice resources of the access network device, and send the second hard slice resource deployment rule to the bearer network device to achieve elastic shrinkage of the hard slice resources on the bearer network device side.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for deploying hard slice resources described in any one of claims 1-7 is implemented.

10. An electronic device, characterized in that: include: processor; as well as A memory, configured to store executable instructions of the processor; Wherein, the processor is configured to execute the hard slice resource deployment method described in any one of claims 1-7 by executing the executable instructions.

Images