CN116709531A

CN116709531A - Network scheduling method, device, electronic equipment and storage medium

Info

Publication number: CN116709531A
Application number: CN202310833372.1A
Authority: CN
Inventors: 尹君; 刘双月; 陈强
Original assignee: China Telecom Technology Innovation Center; China Telecom Corp Ltd
Current assignee: China Telecom Technology Innovation Center; China Telecom Corp Ltd
Priority date: 2023-07-07
Filing date: 2023-07-07
Publication date: 2023-09-05

Abstract

The disclosure provides a network scheduling method, a network scheduling device, electronic equipment and a storage medium, and relates to the technical field of communication. The method comprises the following steps: sending a first analysis request to an NWDAF network element; receiving a first analysis result returned by the NWDAF network element; determining decision information according to the first analysis result, wherein the decision information is used for carrying out network scheduling on a target network element in the core network according to the first analysis result; and sending the decision information to a target core network element through a target interface. The present disclosure determines decision information according to a first analysis result, so as to perform network scheduling on a target network element in a core network through the decision information. Therefore, the embodiment of the disclosure can avoid the problem that the NWDAF network element is introduced and the subsequent evolution needs to greatly reform the core network element because the NWDAF network element directly transmits the analysis result to the related network element in the core network, reduce the introduction difficulty of the NWDAF network element and reduce the reform cost.

Description

Network scheduling method, device, electronic equipment and storage medium

Technical Field

The disclosure relates to the technical field of communication, and in particular relates to a network scheduling method, a device, electronic equipment and a storage medium.

Background

With the development of communication technology, NWDAF (Network Data Analytics Function, network data analysis function) network elements are increasingly used. The NWDAF network element may analyze the network data and output an analysis result. And then, the NWDAF network element can send the analysis result to the relevant network element in the core network so as to perform corresponding network scheduling according to the analysis result.

However, since the NWDAF network element directly issues the analysis result to the relevant network element in the core network. Therefore, each network element in the core network needs to be configured so that each network element can execute corresponding network scheduling according to the analysis result. And the introduction and subsequent evolution of the NWDAF network element have larger transformation requirements on the core network element.

Therefore, a network scheduling method is needed at present to avoid that the core network element needs to be greatly modified by the NWDAF network element and the subsequent evolution, so as to reduce modification cost.

It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art.

Disclosure of Invention

The disclosure provides a network scheduling method, a device, electronic equipment and a storage medium, which at least avoid the problem that the core network element needs to be greatly modified by the introduction and subsequent evolution of an NWDAF network element to a certain extent, thereby reducing the cost of modification.

Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure.

According to an aspect of the embodiments of the present disclosure, there is provided a network scheduling method, including:

sending a first analysis request to a network data analysis function network element, wherein the first analysis request is used for indicating the network data analysis function network element to acquire analysis data, and determining a first analysis result according to the analysis data;

receiving a first analysis result returned by the network data analysis function network element;

determining decision information according to the first analysis result, wherein the decision information is used for carrying out network scheduling on a target network element in the core network according to the first analysis result;

and sending the decision information to a target core network element through a target interface.

In some embodiments of the present disclosure, sending the decision information to a target core network element through a target interface includes:

When the decision information is used for carrying out first-class network scheduling, the decision information is sent to a target core network element through a service interface between network elements, wherein the first-class network scheduling comprises terminal network scheduling and session network scheduling.

In some embodiments of the present disclosure, the method is performed by a decision device that sends the decision information to a target core network element through a target interface, comprising:

when the decision information is used for carrying out second-class network scheduling, the decision information is sent to a target core network element through a northbound interface, wherein the second-class network scheduling comprises network function network scheduling, slice network scheduling and resource pool network scheduling, and the northbound interface comprises an interface between the decision device and network management equipment and an interface between the network management equipment and the target core network element.

In some embodiments of the present disclosure, the network scheduling method provided by the embodiments of the present disclosure may further include:

acquiring addressing information through the network data analysis function network element, wherein at least one of an addressing information packet bracket section and a user Internet protocol address is adopted;

and determining the target core network element through the addressing information.

In some embodiments of the present disclosure, when the target core network element is a network element with a network open function, the service interface between the network elements is an interface between the network element with the network open function and the network element with the network function;

when the target core network element is an application function network element, the service interface between the network elements is an interface between the application function network element and the network function network element.

acquiring original data before network scheduling;

the determining decision information according to the first analysis result includes:

and determining decision information according to the first analysis result and the original data.

In some embodiments of the present disclosure, after the decision information is sent to the target core network element through the target interface, the network scheduling method provided by the embodiments of the present disclosure may further include:

sending a second analysis request to the network data analysis function network element;

receiving a second analysis result returned by the network data analysis function network element;

and determining network scheduling effect information through a second analysis result.

According to another aspect of the present disclosure, there is provided a network scheduling apparatus, including:

The first analysis request sending module is used for sending a first analysis request to the network data analysis function network element, wherein the first analysis request is used for indicating the network data analysis function network element to acquire analysis data, and determining a first analysis result according to the analysis data;

the first analysis result receiving module is used for receiving a first analysis result returned by the network data analysis function network element;

the decision information determining module is used for determining decision information according to the first analysis result, and the decision information is used for carrying out network scheduling on a target network element in the core network according to the first analysis result;

and the decision information sending module is used for sending the decision information to a target core network element through a target interface.

In some embodiments of the present disclosure, the decision information sending module is configured to send the decision information to a target core network element through a service interface between network elements when the decision information is used for performing a first type network scheduling, where the first type network scheduling includes a terminal network scheduling and a session network scheduling.

In some embodiments of the disclosure, the apparatus is applied to a decision device, and the decision information sending module is configured to send the decision information to a target core network element through a northbound interface when the decision information is used for performing a second type of network scheduling, where the second type of network scheduling includes network function network scheduling, slice network scheduling, and resource pool network scheduling, and the northbound interface includes an interface between the decision device and a network management device, and an interface between the network management device and the target core network element.

In some embodiments of the present disclosure, the network scheduling apparatus provided by the embodiments of the present disclosure may further include:

the addressing information acquisition module is used for acquiring addressing information through the network data analysis function network element, and at least one of the addressing information packet bracket section and the user Internet protocol address;

and the target core network element determining module is used for determining the target core network element through the addressing information.

the original data acquisition module is used for acquiring original data before network scheduling;

and the decision information determining module is used for determining decision information according to the first analysis result and the original data.

A second analysis request sending module, configured to send a second analysis request to the network data analysis function network element;

the second analysis result receiving module is used for receiving a second analysis result returned by the network data analysis function network element;

and the network scheduling effect information determining module is used for determining the network scheduling effect information according to the second analysis result.

According to still another aspect of the present disclosure, there is provided an electronic apparatus including: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the network scheduling method described above via execution of the executable instructions.

According to yet another aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, can implement the above-mentioned network scheduling method.

According to another aspect of the present disclosure, there is provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The computer instructions are read from the computer-readable storage medium by a processor of a computer device, and executed by the processor, cause the computer device to perform the network scheduling method provided in the various alternatives in any of the embodiments of the disclosure.

According to the technical scheme provided by the embodiment of the disclosure, the network data analysis function network element can be instructed to determine the first analysis result through the first analysis request, and decision information is determined according to the first analysis result, so that network scheduling is performed on the target network element in the core network through the decision information. Therefore, the embodiment of the disclosure can avoid the problem that the NWDAF network element is introduced and the subsequent evolution needs to greatly reform the core network element because the NWDAF network element directly transmits the analysis result to the related network element in the core network, reduce the introduction difficulty of the NWDAF network element and reduce the reform cost.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort.

FIG. 1 shows a schematic diagram of a system architecture in an embodiment of the present disclosure;

FIG. 2 illustrates a flow chart of a network scheduling method in an embodiment of the present disclosure;

FIG. 3 illustrates a schematic diagram of a network schedule in an embodiment of the present disclosure;

FIG. 4 is a schematic diagram of a process for performing network scheduling in an embodiment of the present disclosure;

FIG. 5 is a schematic diagram illustrating a process for performing network scheduling effect information feedback in an embodiment of the disclosure;

FIG. 6 illustrates a network scheduler diagram in an embodiment of the present disclosure;

fig. 7 shows a block diagram of an electronic device in an embodiment of the disclosure.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.

For ease of understanding, the terms referred to in this disclosure are explained first as follows:

NWDAF: i.e. Network Data Analytics Function, the chinese paraphrasing is the network element of the network data analysis function. The NWDAF Network element may be configured to provide an analysis result for a core Network element such as an NF (Network Function) Network element. The NWDAF network element may inform the corresponding core network element of the network slice specific network state analysis information.

Fig. 1 shows a schematic diagram of an exemplary system architecture to which a network scheduling method or network scheduling apparatus of an embodiment of the present disclosure may be applied.

As shown in fig. 1, the system architecture 100 may comprise a decision device 101, a network data analysis function network element 102, a target core network element 103.

The decision device 101 may communicate with a network data analysis function network element 102 and a target core network element 103, respectively. And, the network data analysis function network element 102 may communicate with the target core network element 103.

In fig. 1, the decision device 101 may send a first analysis request to the network data analysis function network element 102. The network data analysis function network element 102 may then obtain analysis data based on the first analysis request and may determine a first analysis result based on the analysis data. The network data analysis function network element 102 may return the first analysis result to the decision device 101.

The decision device 101 may then receive the first analysis result returned by the network data analysis function network element 102. And determining decision information according to the first analysis result, wherein the decision information is used for carrying out network scheduling on a target network element in the core network according to the first analysis result.

Finally, the decision device 101 may send the decision information to the target core network element 103 via the target interface.

The disclosed embodiments do not limit the device type of the decision device 101, which may be, for example, a network function network element. Moreover, the embodiments of the present disclosure also do not limit the type and configuration of the network data analysis function network element 102.

The target core network element 103 may be a network open function network element, an application function network element, or the like, for example.

It will be appreciated by those skilled in the art that the number of decision devices 101, network data analysis function network elements 102, target core network elements 103 in fig. 1 is merely illustrative, and any number of decision devices 101, network data analysis function network elements 102, target core network elements 103 may be provided according to actual needs. The embodiments of the present disclosure are not limited in this regard.

The present exemplary embodiment will be described in detail below with reference to the accompanying drawings and examples.

First, in the embodiments of the present disclosure, a network scheduling method is provided, and the method may be executed by any electronic device having computing processing capability.

Fig. 2 shows a flowchart of a network scheduling method in an embodiment of the present disclosure, and as shown in fig. 2, the network scheduling method provided in the embodiment of the present disclosure includes the following steps S202 to S208.

S202, a first analysis request is sent to a network data analysis function network element, the first analysis request is used for indicating the network data analysis function network element to acquire analysis data, and a first analysis result is determined according to the analysis data.

In some embodiments, the network data analysis function element, i.e. the NWDAF element, may be preconfigured with analysis requirement data. The analysis requirement data may include an analysis ID (Identity Ddocument, identity) corresponding to the information to be analyzed by the NWDAF network element, a user ID corresponding to the user terminal, and baseline information, for example. The baseline information may include, for example, business experience baseline information, network element load baseline information, and the like.

It should be noted that the NWDAF network element may determine the content to be analyzed according to the first analysis request. The NWDAF network element may then send a data acquisition request to the core network to obtain the analysis data. And then the NWDAF network element can analyze the collected related data to obtain a first analysis result.

Or, the NWDAF network element may send a data acquisition request to the network management device to obtain the analysis data. And then the NWDAF network element can analyze the collected related data to obtain a first analysis result.

The embodiment of the disclosure does not limit the content of the first analysis request, and the content of the first analysis request can be determined according to the application scenario. The first analysis request may be, for example, a prediction of a movement direction of a UE (User Equipment). For another example, the first analysis request may be to adjust resources allocated to the network slice, or the like.

In an exemplary embodiment, the disclosed embodiments are performed by a decision device, which may initiate a first analysis request to the NWDAF network element with the identity of the consumer, or may request the first analysis result from the NWDAF network element by means of a subscription.

In some embodiments, the network scheduling method provided by the embodiments of the present disclosure may further include: and acquiring the original data before network scheduling.

The original data may be, for example, original data that is not scheduled by the network. The raw data may include analysis data acquired by the NWDAF network element.

In this case, determining decision information according to the first analysis result may include: and determining decision information according to the first analysis result and the original data.

S204, receiving a first analysis result returned by the network data analysis function network element.

The embodiment of the disclosure does not limit the method for determining the first analysis result by the NWDAF network element according to the analysis data, and the method can be limited according to experience or application scenarios. Illustratively, at least one preconfigured algorithm model may be included in the NWDAF network element.

Thus, the NWDAF network element may, after receiving the analysis data, input the analysis data into the corresponding algorithm model. And then the NWDAF network element can acquire the first analysis result output by the corresponding algorithm model.

In one possible embodiment, taking the first analysis request as an example, the movement direction of the UE is predicted. At this time, the NWDAF network element may acquire the analysis data according to a core network or a network management device. In this case, the analysis data may be a historical movement trace of the UE. The NWDAF network element may input the analysis data into a pre-configured algorithm model.

The algorithm model may be a time series based algorithm model, for example. The algorithm model may output a prediction of the direction of movement of the UE, which may indicate the base stations and cells that the UE may subsequently go to.

The NWDAF network element may then determine a first analysis result from the prediction result. Illustratively, the first analysis result may include IDs corresponding to respective base stations and cells, respectively, to which the UE may subsequently go, and confidence levels corresponding to the respective base stations and cells, respectively.

In another possible embodiment, the first analysis request is taken as an example for selecting a network slice to be accessed. At this time, the NWDAF network element may acquire the analysis data according to a core network or a network management device. Illustratively, the analysis data may include urs (UE Route Selection Policy, user routing policy) information and configuration data for individual network slices. The NWDAF network element may then input the analysis data into a pre-configured algorithm model.

The algorithm model may then output the selection of the network slice. The NWDAF network element may take the result of the selection of the network slice as a first analysis result.

S206, determining decision information according to the first analysis result, wherein the decision information is used for carrying out network scheduling on a target network element in the core network according to the first analysis result.

In a possible implementation, the first analysis result corresponds to, for example, network scheduling at the UE level, the session level, etc., and the corresponding decision information may be signaling.

In another possible implementation manner, when the first analysis result corresponds to a network schedule of network schedules of a network element level, an NF level, etc., the corresponding decision information may be an instruction.

The method for determining the decision information according to the first analysis result may be determined according to experience or implementation scenario, where the decision information may be identified and executed by each core network element, and the embodiment of the disclosure does not limit the method for determining the decision information.

It should be noted that, because the NWDAF network element may need to be introduced and modified more frequently. Therefore, each network element in the core network may not be capable of identifying and executing the corresponding network scheduling operation on the first analysis result generated by the NWDAF network element. According to the embodiment of the disclosure, the first analysis result is converted into the instruction and/or the signaling which can be identified and executed by each core network element through the external decision device, and decision making is not required by each core network element. Therefore, the method and the device effectively solve the problem that the core network element needs to be greatly transformed by the NWDAF network element in the introduction and the subsequent evolution, reduce the introduction difficulty of the NWDAF network element and reduce the transformation cost.

And S208, the decision information is sent to a target core network element through a target interface.

For example, since the core network elements that are needed for different network schedules are different, the target interface and the target core network element may be determined according to the type of network schedule corresponding to the decision information.

In an exemplary embodiment, the target core network element may be a NEF (Network Exposure Function, network open function) network element, an AF (Application Function ) network element, a PCF (Policy Control function policy control function) network element, an NSSF (Network Slice Selection Function ) network element, or the like.

In some embodiments, the sending the decision information to the target core network element through the target interface may include: when the decision information is used for carrying out first-class network scheduling, the decision information is sent to a target core network element through a service interface between network elements, wherein the first-class network scheduling comprises terminal network scheduling and session network scheduling.

Illustratively, the terminal network schedule included in the first type of network schedule may be used to make terminal level adjustments. The adjustment of the terminal level may include, for example, adjustment of a cell or a base station to which the terminal accesses, and allocation of PDCCH (Physical Downlink Control Channel ) resources occupied by the terminal, for example.

Illustratively, the session network schedule included in the first type of network schedule may be used to make session level adjustments. The adjustment of the session level may include, for example, making modifications to the PDU (Protocol Data Unit ) session, releasing the PDU session, and adjusting the procedure of traffic monitoring the PDU session.

In some embodiments, when the target core network element is a NEF network element, the service interface between the network elements may be an interface between the NEF network element and an NF network element; when the target core network element is an AF network element, the service interface between the network elements may be an interface between the AF network element and the NF network element.

In some embodiments, embodiments of the present disclosure are performed by a decision device, i.e., an NF network element, which may communicate with the NEF network element. In addition, the NF network element can also communicate with the AF network element. Or the decision device may send the decision information to the NF network element, and then to the NEF network element or the AF network element through the NF network element.

It should be noted that, when the target core network element is a NEF network element, after the decision device sends the decision information to the NEF network element, the NEF network element may also send the decision information to other network elements in the core network.

The target core network element may send the decision information to PCF network elements, AF network elements, etc., for example. Wherein the PCF network element may use the decision information in its policy decisions.

Similarly, when the target core network element is an AF network element, after the decision device sends the decision information to the AF network element, the AF network element may also send the decision information to other network elements in the core network. The embodiments of the present disclosure are not so limited.

In some embodiments, the network scheduling method provided by the embodiments of the present disclosure may further include: obtaining addressing information by the NWDAF network element, the addressing information including at least one of a bracket section and a user IP (Internet Protocol ) address; and determining the target core network element through the addressing information.

In an exemplary embodiment, each number segment served by any core network element and each user IP address may be determined by pre-configuration. Thus, the NWDAF network element may acquire the number segment and the user IP address.

In some embodiments, the sending, by the decision device, the decision information to the target core network element through the target interface may include: and when the decision information is used for carrying out second-class network scheduling, the decision information is sent to a target core network element through a northbound interface.

Illustratively, the second type of network schedule includes NF network schedule, slice network schedule, and resource pool network schedule. In addition, the northbound interface may include an interface between the decision device and the network management device, and an interface between the network management device and the target core network element.

Illustratively, NF network schedules included in the second type of network schedule may be used to make NF level adjustments. The NF level adjustment may be used, for example, to adjust the priority of the network element, parameters of the network element, etc.

Illustratively, the slice network schedule included in the second class of network schedules may be used to make slice level adjustments. This slice level adjustment may be used, for example, to adjust parameters of the entire network slice. The parameters of the network slice may include a slice bandwidth parameter, a slice resource allocation parameter, and the like.

Illustratively, the resource pool network schedule included in the second type of network schedule may be used to make resource pool level adjustments. The adjustment of the resource pool level may be, for example, the cloud resource pool where the 5GC (5 th Generation Mobile Communication Technology Core, core network of the fifth generation mobile communication technology) network element is deployed, or may be, for example, the adjustment of the resource allocation situation of each domain, and further, for example, the scheduling of the load of the resource pool server.

In an exemplary embodiment, when the decision information is used for performing the second type of network scheduling, the decision information is sent to the target core network element through the northbound interface. The target core network element may be determined according to an application scenario.

For example, the decision device or NWDAF network element may include a preconfigured application scenario label, where the scenario label may be used to indicate a target core network element corresponding to the corresponding application scenario. The target core network element may be, for example, a PCF network element, an NSSF network element, etc. Wherein the PCF network element may use the decision information in its policy decisions. In addition, the NSSF network element may perform slice selection based on the load level information provided in the decision information.

In some embodiments, after the decision information is sent to the target core network element through the target interface, the method may further include: sending a second analysis request to the network data analysis function network element; receiving a second analysis result returned by the network data analysis function network element; and determining network scheduling effect information through a second analysis result.

In an exemplary embodiment, the decision device may continue to initiate the second analysis request to the NWDAF network element with the identity of the consumer. Or may also request the first analysis result by maintaining a subscription to the NWDAF network element.

Illustratively, a preconfigured preset time interval may be included in the decision device. Thus, the decision device may send the second analysis request to the NWDAF network element when the time interval from which the first analysis request is sent is a preset time interval.

The embodiments of the present disclosure do not limit the network scheduling effect information, and the network scheduling effect information may be used to determine the execution effect of the core network element on the decision information, for example.

In an exemplary embodiment, the decision device may also send a raw data request to the 5GC or network management device to obtain the current raw data. The raw data may be current data that is not network scheduled according to the second analysis result. The decision device can determine the network scheduling effect information through the original data and the second analysis result pair.

For example, taking the first analysis result as a prediction result of the movement direction of the UE as an example, if the target UE is to be prohibited from accessing the network at a specific location, it may be determined whether the target UE has been kicked out of the network at this time according to the second analysis result, and it may be determined whether the target UE is currently prohibited from accessing the network at the specific location according to the original data. Or if the related service of the target UE needs to be guaranteed at a specific location, the second analysis request may be a request for the NWDAF network element to analyze QoE information corresponding to the target UE, so that QoS (Quality of Service ) information may be monitored according to a second analysis result.

In addition, the decision device may also send a second analysis request to the NWDAF network element once every preset time interval.

In some possible embodiments, the decision device may monitor the change of the target index by continuously acquiring the second analysis structure, and generate the feedback information according to the target index. In addition, the decision device may send feedback information to the operator, so as to continuously send decision information corresponding to the second analysis result to the target core network element when the network scheduling needs to be continuously performed, so as to further adjust the network scheduling.

It should be noted that the steps of determining decision information, monitoring the change of the target index, generating feedback information, and further adjusting the network scheduling according to the feedback information may form a closed loop, so as to facilitate the introduction of intelligence into the 5G network and the optimization and upgrading of the algorithm used for the data analysis by the NWDAF network element.

According to the method provided by the embodiment of the disclosure, the network data analysis function network element can be instructed to determine the first analysis result through the first analysis request, and decision information is determined according to the first analysis result, so that network scheduling is performed on the target network element in the core network through the decision information. Therefore, the embodiment of the disclosure can avoid the problem that the NWDAF network element is introduced and the subsequent evolution needs to greatly reform the core network element because the NWDAF network element directly transmits the analysis result to the related network element in the core network, reduce the introduction difficulty of the NWDAF network element and reduce the reform cost.

In an exemplary embodiment, a schematic diagram of a network schedule may be as shown in fig. 3.

In fig. 3, the decision device may send a first analysis request to the NWDAF network element. The NWDAF network element may receive the first analysis request and obtain analysis data through the 5G core network. And may determine a first analysis result from the analysis data and send the first analysis result to a decision device.

The decision device may then obtain the first analysis result and determine decision information based on the first analysis result. If the decision information is used for performing first-class network scheduling, such as terminal network scheduling, session network scheduling, etc., the decision information may be sent to a target core network element in the 5G core network through a service interface between network elements. If the decision information is used for performing a second type of network scheduling, such as network function network scheduling, slice network scheduling, resource pool network scheduling, etc., the decision information may be sent to the target core network element through the northbound interface.

And finally, the target core network element can perform corresponding network scheduling according to the decision information. It should be noted that, in fig. 3, the core network elements included in the 5G core network are not limited, and the 5G core network may include at least one network element of a PCF network element, an AMF (Access and Mobility Management Function ) network element, an SMF (Session Management Function, session management function) network element, and a UPF (User Plane Function ) network element, and may also include a network element other than the PCF network element, the AMF network element, the SMF network element, and the UPF network element.

A schematic diagram of a process for performing network scheduling may be shown in fig. 4, for example.

In fig. 4, the decision device may send a first analysis request to the NWDAF network element. The NWDAF network element may send a data acquisition request to the 5GC or network management device according to the first analysis request to obtain analysis data.

The NWDAF network element may then determine a first analysis result from the analysis data and send the first analysis result to the decision device. And then, the decision device determines decision information according to the first analysis result and sends the decision information to a target core network element through a target interface.

In an exemplary embodiment, a schematic diagram of a process for feeding back network scheduling effect information may be shown in fig. 5.

In fig. 5, the decision device may send a second analysis request to the NWDAF network element. The NWDAF network element may send a data acquisition request to the 5GC or network management device according to the second analysis request to obtain analysis data. In addition, the decision device may send an original data request to the 5GC or network management device to obtain the current original data. Then, the decision device can determine the network scheduling effect information through the second analysis result and the original data. The decision device may further send decision information corresponding to the second analysis result to the target core network element when the network scheduling needs to be continued, so as to further adjust the network scheduling.

Based on the same inventive concept, the embodiments of the present disclosure also provide a network scheduling apparatus, as described in the following embodiments. Since the principle of solving the problem of the embodiment of the device is similar to that of the embodiment of the method, the implementation of the embodiment of the device can be referred to the implementation of the embodiment of the method, and the repetition is omitted.

Fig. 6 shows a schematic diagram of a network scheduling apparatus according to an embodiment of the disclosure, as shown in fig. 6, where the apparatus includes:

a first analysis request sending module 601, configured to send a first analysis request to a network data analysis function network element, where the first analysis request is used to instruct the network data analysis function network element to obtain analysis data, and determine a first analysis result according to the analysis data;

a first analysis result receiving module 602, configured to receive a first analysis result returned by the network element;

a decision information determining module 603, configured to determine decision information according to the first analysis result, where the decision information is used to perform network scheduling on a target network element in the core network according to the first analysis result;

the decision information sending module 604 is configured to send the decision information to a target core network element through a target interface.

In some embodiments of the present disclosure, the decision information sending module 604 is configured to send the decision information to a target core network element through a service interface between network elements when the decision information is used for performing a first type of network scheduling, where the first type of network scheduling includes a terminal network scheduling and a session network scheduling.

In some embodiments of the present disclosure, the apparatus is applied to a decision device, and the decision information sending module 604 is configured to send the decision information to a target core network element through a northbound interface when the decision information is used for performing a second type of network scheduling, where the second type of network scheduling includes network function network scheduling, slice network scheduling, and resource pool network scheduling, and the northbound interface includes an interface between the decision device and a network management device, and an interface between the network management device and the target core network element.

the decision information determining module 603 is configured to determine decision information according to the first analysis result and the original data.

Those skilled in the art will appreciate that the various aspects of the present disclosure may be implemented as a system, method, or program product. Accordingly, various aspects of the disclosure may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.

An electronic device 700 according to such an embodiment of the present disclosure is described below with reference to fig. 7. The electronic device 700 shown in fig. 7 is merely an example and should not be construed to limit the functionality and scope of use of embodiments of the present disclosure in any way.

As shown in fig. 7, the electronic device 700 is embodied in the form of a general purpose computing device. Components of electronic device 700 may include, but are not limited to: the at least one processing unit 710, the at least one memory unit 720, and a bus 730 connecting the different system components, including the memory unit 720 and the processing unit 710.

Wherein the storage unit stores program code that is executable by the processing unit 710 such that the processing unit 710 performs steps according to various exemplary embodiments of the present disclosure described in the above detailed description of the present specification.

The memory unit 720 may include readable media in the form of volatile memory units, such as Random Access Memory (RAM) 7201 and/or cache memory 7202, and may further include Read Only Memory (ROM) 7203.

The storage unit 720 may also include a program/utility 7204 having a set (at least one) of program modules 7205, such program modules 7205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.

Bus 730 may be a bus representing 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.

The electronic device 700 may also communicate with one or more external devices 740 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 700, and/or any device (e.g., router, modem, etc.) that enables the electronic device 700 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 750. Also, electronic device 700 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet, through network adapter 760. As shown, network adapter 760 communicates with other modules of electronic device 700 over bus 730. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 700, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.

From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.

In an exemplary embodiment of the present disclosure, a computer-readable storage medium, which may be a readable signal medium or a readable storage medium, is also provided. On which a program product is stored which enables the implementation of the method described above of the present disclosure. In some possible implementations, various aspects of the disclosure may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the disclosure as described in the detailed description section of the disclosure, when the program product is run on the terminal device.

More specific examples of the computer readable storage medium in the present disclosure may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

In this disclosure, a computer readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Alternatively, the program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

In particular implementations, the program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind 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., connected via the Internet using an Internet service provider).

It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.

Furthermore, although the steps of the methods in the present disclosure are depicted in a particular order in the drawings, this does not require or imply that the steps must be performed in that particular order or that all illustrated steps be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform, etc.

From the description of the above embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a mobile terminal, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope of the disclosure being indicated by the following claims.

Claims

1. A method for scheduling a network, comprising:

determining decision information according to the first analysis result, wherein the decision information is used for carrying out network scheduling on a target network element in a core network according to the first analysis result;

2. The network scheduling method according to claim 1, wherein the sending the decision information to a target core network element through a target interface includes:

and when the decision information is used for carrying out first-class network scheduling, the decision information is sent to a target core network element through a service interface among network elements, wherein the first-class network scheduling comprises terminal network scheduling and session network scheduling.

3. The network scheduling method according to claim 1, wherein the method is performed by a decision device, the sending the decision information to a target core network element through a target interface, comprising:

And when the decision information is used for carrying out second-class network scheduling, the decision information is sent to a target core network element through a northbound interface, wherein the second-class network scheduling comprises network function network scheduling, slice network scheduling and resource pool network scheduling, and the northbound interface comprises an interface between the decision device and network management equipment and an interface between the network management equipment and the target core network element.

4. The network scheduling method of claim 2, wherein the method further comprises:

acquiring addressing information through the network data analysis function network element, wherein at least one of an addressing information packet bracket section and a user Internet protocol address;

5. The network scheduling method according to claim 2 or 4, wherein when the target core network element is a network element with a network open function, the service interface between the network elements is an interface between the network element with the network open function and the network element with the network function;

6. The network scheduling method according to any one of claims 1 to 4, characterized in that the method further comprises:

acquiring original data before network scheduling;

7. The network scheduling method according to any one of claims 1 to 4, wherein after the sending the decision information to the target core network element through the target interface, the method further comprises:

and determining network scheduling effect information according to the second analysis result.

8. A network scheduling apparatus, comprising:

9. An electronic device, comprising:

a processor; and

a memory for storing executable instructions of the processor;

wherein the processor is configured to perform the network scheduling method of any one of claims 1 to 7 via execution of the executable instructions.

10. A computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the network scheduling method of any one of claims 1 to 7.