CN110881207A

CN110881207A - Network slice selection method and related product

Info

Publication number: CN110881207A
Application number: CN201911053979.8A
Authority: CN
Inventors: 祁建锋; 王皓
Original assignee: Huawei Technologies Co Ltd
Current assignee: Honor Device Co Ltd
Priority date: 2019-10-31
Filing date: 2019-10-31
Publication date: 2020-03-13
Anticipated expiration: 2039-10-31
Also published as: WO2021082903A1; CN110881207B

Abstract

The embodiment of the application discloses a network slice selection method, related equipment and a computer storage medium, wherein the method comprises the following steps: acquiring hardware information of terminal equipment, wherein at least one piece of network slice information is stored in the terminal equipment; determining the current service flow characteristic information of the terminal equipment; determining target network slice information in the at least one piece of network slice information according to the current service flow characteristic information and the hardware information; and connecting the service corresponding to the current service flow to the target network slice according to the target network slice information. According to the embodiment of the application, the terminal equipment selects the target network slice information from at least one piece of network slice information stored in the terminal equipment according to the hardware information and the current service flow characteristic information, so that the terminal equipment can dynamically select the network slice to be accessed according to the hardware information of the terminal equipment and the service flow characteristic information corresponding to different services, and the diversified requirements of the terminal equipment on the network slices are met.

Description

Network slice selection method and related product

Technical Field

The present application relates to the field of network slice selection technologies, and in particular, to a network slice selection method and a related product.

Background

With the development of communication technology, the concept of network slicing is introduced into a 5G network architecture, and network slicing mainly creates a plurality of independent dedicated virtual sub-networks in the same infrastructure to meet the requirements of different services. The network slice can better support different services, including mobile broadband, internet of things, smart grid, remote electronic medical treatment, public safety service and the like.

Currently, when a terminal device accesses a network slice, the terminal device selects the network slice through network slice selection auxiliary information provided by the terminal device and user subscription information on a core network side. The selection of the network slice is mainly executed at the network side, and the network slice is mainly selected according to the subscription information of the user, so that the slice selection mode is single, the terminal equipment cannot dynamically select different network slices according to different requirements, and the diversified requirements of the terminal equipment on the network slice cannot be met.

Disclosure of Invention

The technical problem to be solved in the embodiments of the present application is to provide a network slice selection method and a related product, which are used for a terminal to select target slice information from a plurality of stored network slice information based on hardware information of a terminal device and current service feature information, so that the terminal can be linked to a corresponding target network slice according to the selected target network slice information.

In a first aspect, an embodiment of the present application provides a network slice selection method, including:

acquiring hardware information of terminal equipment, wherein at least one piece of network slice information is stored in the terminal equipment; determining the current service flow characteristic information of the terminal equipment; determining target network slice information in the at least one piece of network slice information according to the current service flow characteristic information and the hardware information; and connecting the service corresponding to the current service flow to the target network slice according to the target network slice information.

According to the method and the device, the terminal device selects the target slice information from at least one piece of network slice information stored in the terminal device according to the hardware information of the terminal device and the current service flow characteristic information instead of selecting the proper network slice on the network side according to the subscription information of the user, so that the terminal can be dynamically connected to the corresponding target network slice according to the selected target network slice information, and the diversified requirements of the terminal device on the network slices can be met

Optionally, the determining, according to the current service flow feature information and the hardware information, target network slice information in the at least one piece of network slice information includes: determining the type of a target network slice according to the current service flow characteristic information and the hardware information; determining appeal information of a target network slice according to the current service flow characteristic information and the hardware information, wherein the appeal information comprises at least one appeal parameter and parameter content of the at least one appeal parameter; selecting the target slice information from the at least one network slice information according to the type of the target network slice and appeal information of the target network slice.

Optionally, the determining the type of the target network slice according to the current service flow feature information and the hardware information includes: determining the type of the network slice supported by the terminal equipment according to the hardware information; determining the type of a network slice supporting the current service flow according to the characteristic information of the current service flow; and determining the type of the target network slice according to the type of the network slice supported by the terminal equipment and the type of the network slice supporting the requirement of the current service flow.

Optionally, the determining, according to the hardware information, the type of the network slice supported by the terminal device includes: determining a hardware characteristic vector of the terminal equipment according to the hardware information; calculating the distance between the hardware feature vector and a first reference vector to obtain a first distance, wherein the first reference vector is a reference vector of a network slice of a massive internet of things service type in a first space coordinate system, and the first space coordinate system is a space coordinate system where the hardware feature vector is located; if the first distance is smaller than a first threshold value, determining that the terminal equipment supports network slices of massive Internet of things service types; calculating the distance between the hardware feature vector and a second reference vector to obtain a second distance, wherein the second reference vector is a reference vector of the network slice of the enhanced mobile broadband service type in the first space coordinate system; if the second distance is smaller than a second threshold value, determining that the terminal equipment supports the network slice of the enhanced mobile broadband service type; calculating the distance between the hardware feature vector and a third reference vector to obtain a third distance, wherein the third reference vector is a reference vector of a network slice of an ultra-reliability time delay service type in the first space coordinate system; and if the third distance is smaller than a third threshold value, determining that the terminal equipment supports the network slice of the type of the ultra-reliability delay service.

Optionally, the determining, according to the current service flow feature information, a type of a network slice supporting the current service flow includes: determining a service characteristic vector of the current service flow according to the current service flow characteristic information; calculating the distance between the service feature vector and a fourth reference vector to obtain a fourth distance, wherein the fourth reference vector is a reference vector of a network slice of a massive internet of things service type in a second space coordinate system, and the second space coordinate system is a space coordinate system where the hardware feature vector is located; if the fourth distance is smaller than a fourth threshold value, determining that the network slice of the massive Internet of things service type is the type of the network slice supporting the current service flow; calculating the distance between the service characteristic vector and a fifth reference vector to obtain a fifth distance, wherein the fifth reference vector is a reference vector of the network slice of the enhanced mobile broadband service type in the second space coordinate system; if the fifth distance is smaller than a fifth threshold, determining that the network slice of the enhanced mobile broadband service type is the type of the network slice supporting the current service flow; calculating the distance between the service characteristic vector and a sixth reference vector to obtain a sixth distance, wherein the sixth reference vector is a reference vector of the network slice of the ultra-reliability time delay service type in the second spatial coordinate system; and if the sixth distance is smaller than a sixth threshold, determining that the network slice of the ultra-reliability delay service type is the type of the network slice supporting the current service flow.

Optionally, the determining the type of the target network slice according to the type of the network slice supported by the terminal device and the type of the network slice supporting the requirement of the current service flow includes: and determining the type of the network slice corresponding to the intersection as the type of the target network slice under the condition that the intersection of the type of the network slice supported by the terminal equipment and the type of the network slice supporting the requirement of the current service flow is not empty.

Optionally, the method further includes: and determining default network slice information in the at least one piece of network slice information as the target network slice information under the condition that the intersection of the type of the network slice supported by the terminal equipment and the type of the network slice supporting the requirement of the current service flow is empty.

Optionally, the determining appeal information of the target network slice according to the current service flow feature information and the hardware information includes: determining a first feature vector according to the current service flow feature information and the hardware information, wherein the first feature vector represents the features of each hardware parameter in the hardware information and the features of each parameter in the current service flow feature information; and determining the appeal information according to the first feature vector and the conversion relation between the first feature vector and the appeal information, wherein the conversion relation between the first feature vector and the appeal information is obtained by training a plurality of sample pairs containing the feature vector and the appeal information.

Optionally, the hardware information includes at least one of a memory, a central processing unit CPU, a graphics processing unit GPU, a product name, and a product model.

Optionally, the current service flow characteristic information includes at least one of a delay condition, a bandwidth condition, a jitter condition, a wireless received signal strength condition, and a window size.

Optionally, the method further includes: updating the at least one piece of network slice information saved in the terminal equipment under the condition that the position update of the terminal equipment is detected; or, the at least one piece of network slice information stored in the terminal device is updated periodically.

Second aspect an embodiment of the present application further provides a terminal device, including:

the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring hardware information of terminal equipment, and at least one piece of network slice information is stored in the terminal equipment;

a first determining unit, configured to determine current service flow characteristic information of the terminal device;

a second determining unit, configured to determine target network slice information in the at least one piece of network slice information according to the current service flow feature information and the hardware information;

and the connecting unit is used for connecting the service corresponding to the current service flow to the target network slice according to the target network slice information.

Optionally, the second determining unit is specifically configured to: determining the type of a target network slice according to the current service flow characteristic information and the hardware information; determining appeal information of a target network slice according to the current service flow characteristic information and the hardware information, wherein the appeal information comprises at least one appeal parameter and parameter content of the at least one appeal parameter; selecting the target slice information from the at least one network slice information according to the type of the target network slice and appeal information of the target network slice.

Optionally, in the aspect of determining the type of the target network slice according to the current service flow feature information and the hardware information, the second determining unit is specifically configured to: determining the type of the network slice supported by the terminal equipment according to the hardware information; determining the type of a network slice supporting the current service flow according to the characteristic information of the current service flow; and determining the type of the target network slice according to the type of the network slice supported by the terminal equipment and the type of the network slice supporting the requirement of the current service flow.

Optionally, in the aspect of determining the type of the network slice supported by the terminal device according to the hardware information, the second determining unit is specifically configured to: determining a hardware characteristic vector of the terminal equipment according to the hardware information; calculating the distance between the hardware feature vector and a first reference vector to obtain a first distance, wherein the first reference vector is a reference vector of a network slice of a massive internet of things service type in a first space coordinate system, and the first space coordinate system is a space coordinate system where the hardware feature vector is located; if the first distance is smaller than a first threshold value, determining that the terminal equipment supports network slices of massive Internet of things service types; calculating the distance between the hardware feature vector and a second reference vector to obtain a second distance, wherein the second reference vector is a reference vector of the network slice of the enhanced mobile broadband service type in the first space coordinate system; if the second distance is smaller than a second threshold value, determining that the terminal equipment supports the network slice of the enhanced mobile broadband service type; calculating the distance between the hardware feature vector and a third reference vector to obtain a third distance, wherein the third reference vector is a reference vector of a network slice of an ultra-reliability time delay service type in the first space coordinate system; and if the third distance is smaller than a third threshold value, determining that the terminal equipment supports the network slice of the type of the ultra-reliability delay service.

Optionally, in the aspect of determining the type of the network slice supporting the current service flow according to the current service flow feature information, the second determining unit is specifically configured to: determining a service characteristic vector of the current service flow according to the current service flow characteristic information; calculating the distance between the service feature vector and a fourth reference vector to obtain a fourth distance, wherein the fourth reference vector is a reference vector of a network slice of a massive internet of things service type in a second space coordinate system, and the second space coordinate system is a space coordinate system where the hardware feature vector is located; if the fourth distance is smaller than a fourth threshold value, determining that the network slice of the massive Internet of things service type is the type of the network slice supporting the current service flow; calculating the distance between the service characteristic vector and a fifth reference vector to obtain a fifth distance, wherein the fifth reference vector is a reference vector of the network slice of the enhanced mobile broadband service type in the second space coordinate system; if the fifth distance is smaller than a fifth threshold, determining that the network slice of the enhanced mobile broadband service type is the type of the network slice supporting the current service flow; calculating the distance between the service characteristic vector and a sixth reference vector to obtain a sixth distance, wherein the sixth reference vector is a reference vector of the network slice of the ultra-reliability time delay service type in the second spatial coordinate system; and if the sixth distance is smaller than a sixth threshold, determining that the network slice of the ultra-reliability delay service type is the type of the network slice supporting the current service flow.

Optionally, in the aspect that the type of the target network slice is determined according to the type of the network slice supported by the terminal device and the type of the network slice supporting the requirement of the current service flow, the second determining unit is specifically configured to: and determining the type of the network slice corresponding to the intersection as the type of the target network slice under the condition that the intersection of the type of the network slice supported by the terminal equipment and the type of the network slice supporting the requirement of the current service flow is not empty.

Optionally, the second determining unit is further configured to: and determining default network slice information in the at least one piece of network slice information as the target network slice information under the condition that the intersection of the type of the network slice supported by the terminal equipment and the type of the network slice supporting the requirement of the current service flow is empty.

Optionally, in the aspect of determining the appeal information of the target network slice according to the current service flow feature information and the hardware information, the second determining unit is specifically configured to: determining a first feature vector according to the current service flow feature information and the hardware information, wherein the first feature vector represents the features of each hardware parameter in the hardware information and the features of each parameter in the current service flow feature information; and determining the appeal information according to the first feature vector and the conversion relation between the first feature vector and the appeal information, wherein the conversion relation between the first feature vector and the appeal information is obtained by training a plurality of sample pairs containing the feature vector and the appeal information.

Optionally, the terminal device further includes:

an updating unit, configured to update the at least one piece of network slice information stored in the terminal device when a location update of the terminal device is detected; or, the at least one piece of network slice information stored in the terminal device is updated periodically.

Third aspect, an embodiment of the present application further provides a terminal device, including: one or more processors, and a plurality of application programs, wherein the one or more programs are stored in the memory; wherein the one or more processors, when executing the one or more programs, cause the terminal to perform the method of the first aspect.

Fourth aspect, an embodiment of the present application further provides a storage medium, where the storage medium stores program code, where the program code includes program instructions, and when the program instructions are executed by the processor, the processor and the transceiver cooperate to implement an information interaction function in any one of the methods provided by the embodiments of the present application; the program instructions, when executed by the processor, further enable the processor to cooperate with the display to implement the information or data displaying function in any one of the methods provided by the embodiments of the present application.

Fifth aspect, this application embodiment further provides a computer program product, where the computer program product includes program instructions, and the program instructions, when executed by the processor, cause the processor and the transceiver to cooperate to implement the information interaction function in any one of the methods provided in this application embodiment; the program instructions, when executed by the processor, further enable the processor to cooperate with the display to implement the information or data displaying function in any one of the methods provided by the embodiments of the present application.

In the embodiment of the application, the terminal equipment determines target network slice information in at least one piece of network slice information stored in the terminal equipment through two dimensions of hardware information of the terminal equipment and current service flow characteristic information; and enabling the terminal equipment to connect the service corresponding to the current service flow to the target network slice. Therefore, in the embodiment of the application, the terminal device selects the target network slice information from at least one piece of network slice information stored in the terminal device according to the hardware information and the current service flow characteristic information, so that the terminal device can dynamically select the network slice to be accessed according to the hardware information of the terminal device and the service flow characteristic information corresponding to different services, and the diversified requirements of the terminal device on the network slice are met.

Drawings

The drawings that are required to be used in this application, either in the examples or in the background, are described below.

Fig. 1 is a schematic diagram of a network framework supporting multiple network slices by 3GPP according to an embodiment of the present application;

FIG. 2 is a diagram of a network slice architecture provided by an embodiment of the present application;

fig. 3 is a schematic flowchart of a network slice selection method according to an embodiment of the present application;

fig. 4 is a structural diagram of a terminal device according to an embodiment of the present application;

fig. 5 is a structural diagram of another terminal device provided in the embodiment of the present application.

Detailed Description

The embodiments of the present application will be described below with reference to the drawings.

Entering the 5G era, a large number of devices are connected to the network, and these devices belong to different fields, and have different characteristics and requirements. Different devices have different requirements for mobility, security, delay, reliability of the network, and even for the charging mode.

The network slice refers to a set of logical network functional entities supporting a specific communication service requirement, and realizes a service that a communication service can be customized mainly by means of a software defined network (SND) technology and a Network Function Virtualization (NFV) technology.

The NFV technology can realize mapping from bottom physical resources to virtualized resources, building virtual machines, and loading Network Functions (NF); the SDN technology can realize logic connection between virtual machines and establish a channel for bearing signaling and data flow. The network slice finally realizes dynamic connection between Radio Access Network (RAN) and network functional entities of a core network (core, C), configures an end-to-end service chain, and realizes flexible networking, thereby realizing network customizable services. An operator can determine a network slice according to the requirements of each specific communication service on Key Performance Indicators (KPIs) such as capacity, coverage, rate, time delay, reliability and the like, wherein the network slice comprises a network function entity set, so that the required telecommunication service and network capacity service are provided for users, and specific market scenes and requirements are met.

As shown in fig. 1, a network framework diagram supporting multiple network slices by the third generation partnership project (3 GPP), the 3GPP classifies the main types of 5G network slices into the following three major categories: enhanced mobile broadband service (eMBB) type network slice, massive internet of things service (mloT) type network slice, and ultra-reliable and low latency communications (URLLC) type network slice, multimedia device, and the like. The mloT type network slice is mainly oriented to the terminals of the internet of things, and the terminals have the requirements of large scale, low mobility and lower speed. The URLLC type network slice is mainly oriented to a terminal of the Internet of vehicles, and the terminal has higher requirements on time delay and reliability. For example, a mobile phone may access an eMBB type network slice for high-speed downloading or watching a 4K high-definition video, and a sensor device may access an mtc type network slice for transmission of small data packets and update of system configuration.

The requirements of different devices for the network are different, and therefore, the concept of network slicing is introduced in the 5G network architecture.

The network slice is to cut a physical network into a plurality of virtual end-to-end networks, and each virtual network, including devices, access networks, transmission networks and core networks in the network, is logically independent, and the failure of any virtual network does not affect other virtual networks. Each virtual network has different functional characteristics and is oriented to different requirements and services.

The 5G Network Slice architecture diagram is shown in fig. 2, and includes Network elements such as a terminal device, an Access Network (RAN), a Slice Selection Function (SSF), a Common control plane Network Function (Common CP NFs), a Slice control plane Network Function (CPNFs for Slice), a Slice User plane Network Function (User plane Network Function for Slice, UP NFs for Slice), and a User database (Subscriber Repository).

The terminal devices may include handheld devices with wireless communication functions, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to wireless modems, as well as various forms of Mobile Stations (MSs), terminals (termina1), internet of things devices, and so on.

The AN is used to implement a Radio related function, and may also be a Radio Access Network (RAN), and specifically may be a base station.

A base station, as referred to herein, may refer to a device in an access network that communicates over the air-interface, through one or more sectors, with wireless terminals. The base station can be a narrow base station, namely a public mobile communication base station, or can be a broad base station, namely a base station subsystem. For example, the Base station may be a Base Transceiver Station (BTS) in a Global System for Mobile Communication (GSM) or Code Division Multiple Access (CDMA), a Base station (NodeB) in a Wideband Code Division Multiple Access (W-CDMA), or an evolved node b (NodeB or eNB or e-NodeB) in a Long Term Evolution (LTE), which is not limited in the present application.

The SSF, which may also be an SSF Access management Function (SSF-AMF), is used to select slices.

The common control plane network function is a control plane function shared by multiple slices, such as: a mobility management function. The slice control plane network functions are slice unshared parts, such as: a session management function.

Alternatively, the common Control plane network function and the slice Control plane network function may be collectively referred to as a Control Plane (CP) in practice. In the embodiment of the present application, a common network function and a slice control plane network function are introduced as a unified CP.

The CP is responsible for the mobility management of the user, including the mobility state management, the functions of distributing the temporary identity mark of the user, authenticating and authorizing the user and the like; and the session management function is also responsible for functions of User Plane (UP) network element selection, user plane network element redirection, IP address allocation, bearer establishment, modification and release, Quality of Service (QoS) control and the like.

The slicing User plane network function, which may be referred to as User plane (User Pane1, UP), has functions of User message forwarding, encapsulation, statistics, and the like.

The user database refers to a core database for storing user information.

Based on the architecture shown in fig. 2, a network slice selection method in the embodiment of the present application is described below with reference to fig. 3.

The network device in the embodiment of the present application may be a network device corresponding to one or several network elements in AN, SSF, or CP in the 5G network slice architecture shown in fig. 2.

301: the method comprises the steps that the terminal equipment obtains hardware information of the terminal equipment, and at least one piece of network slice information is stored in the terminal equipment.

The hardware information represents hardware information of hardware related to the network slice in the terminal equipment; the hardware information may include hardware parameters of at least one terminal device, and specific contents of the hardware parameters; the hardware parameter may include, but is not limited to, at least one of a memory, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a product name, and a product model, where the content of the hardware parameter refers to content such as a numerical value or a character corresponding to the hardware parameter. For example, the hardware parameter information may be: (memory, 32GB), (CPU, 2 GHz).

Each Slice information includes Slice selection assistance information (S-NSSAI) and a service type to which the Slice information belongs.

The Slice selection assistance information may be a Slice ID (Slice identity) or a Network Slice ID (Nes-ID).

The Service Type, which may also be referred to as a Service Type (Service Type), is used to distinguish a Type of a certain Service, for example, to indicate Service types such as eMBB Service, URLLC Service, mtc Service, and the like. Each service type has an identifier of the corresponding service type. One network slice may correspond to one service type, and there are multiple network slices under one service type, so that there is a mapping relationship between service types and network slices.

Optionally, the network slice information may further include information such as time delay, bandwidth, jitter, wireless received signal strength, window size, reliability, and security.

Each slice information may also include other information items, which are not limited herein.

Specifically, the at least one piece of network slice information may be preset in the terminal by a terminal manufacturer or a network operator, or may be obtained by the terminal device from a network device.

The network device may obtain network slice information of the current network from a slice management system in the core network. For example, the slice management system issues the network slice information of the network to each network element of the network side, including network elements such as AN, SSF, or CP, and the network elements such as AN, SSF, or CP store the network slice information of the current network.

The specific way in which the terminal device obtains the network slice information of the current network from the network device may be specifically obtained from the network device in a process of network registration of the terminal device, or may be obtained from the network device in a process of session establishment of the terminal device, which is not limited in this embodiment of the present application.

For example, the terminal device may send a network registration request to the network device, the network device generates a network registration response message according to the network registration request message of the terminal device, carries the network slice information of the current network in the network registration response message and sends the network registration response message to the terminal device, and the terminal device receives the network registration response message from the network device and obtains the network slice information of the current network from the network registration response message, thereby obtaining the at least one piece of network slice information.

Optionally, the terminal device stores the acquired network slice information of the current network, and when the network slice information of the current network in the network device is updated (slice information is newly added, deleted, or modified), the network device may synchronize the updated slice information to the terminal device, so that the terminal device may update the locally stored network slice information.

Optionally, the terminal device updates the at least one piece of network slice information stored in the terminal device when detecting that the location of the terminal device is updated; or, the at least one piece of network slice information stored in the terminal device is updated periodically.

Specifically, in different location areas, the network devices may be different, and the corresponding network slice information of the current network may also be different, so that the terminal device may update the locally stored network slice information through the network device when the terminal device detects that the location area of the terminal device changes. Or, the terminal device may also periodically update the locally stored network slice information through the network device by setting an aging time, where the aging time is a period of time.

In this embodiment of the application, the terminal device obtains the hardware information of the terminal device, which may include but is not limited to directly reading information of each hardware specific parameter stored in a system of the terminal device, or obtaining the hardware information from a network or a cloud through a terminal identifier of the terminal device. The terminal identifier may include one or more of an international mobile Equipment identity Number (IMEI), an Electronic Serial Number (ESN), a product model, and the like.

302: and the terminal equipment determines the current service flow characteristic information of the terminal equipment.

The service flow characteristic information includes, but is not limited to, at least one of a delay condition, a bandwidth condition, a jitter condition, a wireless received signal strength condition, a window size, a reliability condition, a security condition, and the like, and specific parameter contents corresponding to the parameters.

The service flow characteristic information refers to service flow information corresponding to a service selected by a user on the terminal equipment or a service automatically and automatically performed by the terminal.

For example, when a user plays a certain live video in a certain video application installed on a terminal device, the terminal device receives a video service selection instruction input by the user, and determines information such as a delay condition, a bandwidth condition, a jitter condition, and security corresponding to the video service according to the instruction.

303: and the terminal equipment determines target network slice information in the at least one piece of network slice information according to the current service flow characteristic information and the hardware information.

As an optional implementation manner, the determining, by the terminal device, target network slice information in the at least one piece of network slice information according to the current service flow feature information and the hardware information may specifically include: the terminal equipment determines the type of the target network slice according to the current service flow characteristic information and the hardware information; then, appeal information of the target network slice is determined according to the current service flow characteristic information and the hardware information, wherein the appeal information comprises at least one appeal parameter and parameter content of the at least one appeal parameter; and finally, selecting the target slice information from the at least one piece of network slice information according to the type of the target network slice and the appeal information of the target network slice.

The types of the network slices comprise massive Internet of things service types, enhanced mobile broadband service types and ultra-reliability delay service types.

The appeal information refers to a condition that the target network slice needs to meet aiming at the service corresponding to the terminal device and the current service flow characteristic information. The appeal information comprises at least one appeal parameter and specific parameter content of the at least one appeal parameter. The appealing parameter may specifically include but is not limited to at least one of latency, bandwidth, jitter, and the like, and the parameter content may be a determined value, a range, or a byte description.

Optionally, the determining, by the terminal device, the type of the target network slice according to the current service flow feature information and the hardware information may specifically include: the terminal equipment determines the type of the network slice supported by the terminal equipment according to the hardware information; then, determining the type of the network slice supporting the current service flow according to the characteristic information of the current service flow; and finally, determining the type of the target network slice according to the type of the network slice supported by the terminal equipment and the type of the network slice supporting the requirement of the current service flow.

In a specific implementation, different terminals may support different types of network slices, and different services have different requirements for playing the types of the slices. Thus, the type of the target network slice may be determined from both the type of network slice supported by the terminal device and the type of network slice supporting the requirements of the current traffic flow. The type of network slice supported for a terminal device may be determined according to hardware information of the terminal device currently in use. The type of the network slice supporting the requirement of the current service flow can be determined according to the specific service flow characteristic information corresponding to the current service. And finally, obtaining the intersection of the obtained results of the two network slice types, so as to obtain the type of the target network slice.

For example, the terminal device supports different service forms according to hardware differences, such as an unmanned aerial vehicle, VR/AR glasses, an autopilot, a wearable device, a smart machine, and the like, different devices have different support capabilities, and required slice types are also different, and the main video of the unmanned aerial vehicle is shot/transmitted back, which requires low delay and a large bandwidth appeal, while the unmanned aerial vehicle requires a low delay type. Therefore, the network slice appeal needs to be negotiated according to different equipment capabilities, so that a self-adaptive and automatic scheduling algorithm is achieved, and the method is convenient and quick to use.

Further, the determining, by the terminal device, the type of the network slice supported by the terminal device according to the hardware information may specifically include:

(1) the terminal equipment determines a hardware characteristic vector of the terminal equipment according to the hardware information;

(2) the terminal device calculates the distance between the hardware characteristic vector and a first reference vector to obtain a first distance, wherein the first reference vector is a reference vector of a network slice of a massive Internet of things service type in a first space coordinate system, and the first space coordinate system is a space coordinate system where the hardware characteristic vector is located; if the first distance is smaller than a first threshold value, determining that the terminal equipment supports network slices of massive Internet of things service types;

(3) the terminal equipment calculates the distance between the hardware feature vector and a second reference vector to obtain a second distance, wherein the second reference vector is the reference vector of the network slice of the enhanced mobile broadband service type in the first space coordinate system; if the second distance is smaller than a second threshold value, determining that the terminal equipment supports the network slice of the enhanced mobile broadband service type;

(4) the terminal device calculates the distance between the hardware feature vector and a third reference vector to obtain a third distance, wherein the third reference vector is a reference vector of the network slice of the ultra-reliability time delay service type in the first space coordinate system; and if the third distance is smaller than a third threshold value, determining that the terminal equipment supports the network slice of the type of the ultra-reliability delay service.

In a specific implementation, a multidimensional first spatial coordinate system may be formed based on hardware parameters included in the hardware information, and the hardware information of each terminal device may be represented by a hardware feature vector in the first spatial coordinate system. Furthermore, a reference vector may be determined for each network slice type in the first spatial coordinate system by a corresponding relationship between the network slice type and the hardware information. And then calculating the distance between the hardware feature vector of the terminal equipment and the reference vector of the type of each network slice, and determining whether the type of the corresponding network slice is supported according to the distance and a threshold value.

The correspondence between the types of the network slices and the hardware information can be obtained by a large amount of sample information including hardware feature vectors of the terminal device and types of the network slices actually supported by the terminal device. The distance between the hardware feature vector of the terminal device and the reference vector of each network slice type may be an euclidean distance, or a cosine distance or other distances, which is not limited in the embodiment of the present application.

Optionally, the determining, by the terminal device, the type of the network slice supporting the current service flow according to the current service flow feature information may specifically include:

(1) the terminal equipment determines a service characteristic vector of the current service flow according to the current service flow characteristic information;

(2) the terminal device calculates the distance between the service characteristic vector and a fourth reference vector to obtain a fourth distance, wherein the fourth reference vector is a reference vector of a network slice of a massive internet of things service type in a second space coordinate system, and the second space coordinate system is a space coordinate system where the hardware characteristic vector is located; if the fourth distance is smaller than a fourth threshold value, determining that the network slice of the massive Internet of things service type is the type of the network slice supporting the current service flow;

(3) the terminal device calculates the distance between the service characteristic vector and a fifth reference vector to obtain a fifth distance, wherein the fifth reference vector is a reference vector of the network slice of the enhanced mobile broadband service type in the second space coordinate system; if the fifth distance is smaller than a fifth threshold, determining that the network slice of the enhanced mobile broadband service type is the type of the network slice supporting the current service flow;

(4) the terminal device calculates the distance between the service characteristic vector and a sixth reference vector to obtain a sixth distance, wherein the sixth reference vector is a reference vector of the network slice of the ultra-reliability time delay service type in the second space coordinate system; and if the sixth distance is smaller than a sixth threshold, determining that the network slice of the ultra-reliability delay service type is the type of the network slice supporting the current service flow.

In a specific implementation, a multidimensional second spatial coordinate system may be formed based on service flow characteristic parameters included in current service flow characteristic information, and each current service flow characteristic information may be represented by a service characteristic vector in the second spatial coordinate system. In addition, a reference vector can be determined for each network slice type in the second spatial coordinate system according to the corresponding relation between the network slice type and the current service flow characteristic information. And then calculating the distance between the service characteristic vector corresponding to the current service flow characteristic information and the reference vector of the type of each network slice, and determining whether the type of the corresponding network slice is supported or not according to the distance and a threshold value.

The correspondence between the type of each network slice and the current service flow feature information can be obtained by a large amount of sample information including service feature vectors corresponding to the current service flow feature information and the type of the network slice supporting the current service flow. The distance between the service feature vector corresponding to the current service flow feature information and the reference vector of the type of each network slice may be an euclidean distance, a cosine distance, or another distance, which is not limited in the embodiment of the present application.

Optionally, after obtaining the type of the network slice supported by the terminal device and the type of the network slice supporting the requirement of the current service flow, the determining the type of the target network slice according to the type of the network slice supported by the terminal device and the type of the network slice supporting the requirement of the current service flow may specifically include: and determining the type of the network slice corresponding to the intersection as the type of the target network slice under the condition that the intersection of the type of the network slice supported by the terminal equipment and the type of the network slice supporting the requirement of the current service flow is not empty.

Optionally, when an intersection of the type of the network slice supported by the terminal device and the type of the network slice supporting the requirement of the current service flow is empty, determining default network slice information in the at least one piece of network slice information as the target network slice information.

Optionally, the determining, by the terminal device, appeal information of the target network slice according to the current service flow feature information and the hardware information may specifically include: the terminal equipment determines a first feature vector according to the current service flow feature information and the hardware information, wherein the first feature vector comprises the features of all hardware parameters in the hardware information and the features of all parameters in the current service flow feature information; and determining the appeal information according to the first feature vector and the conversion relation between the first feature vector and the appeal information, wherein the conversion relation between the first feature vector and the appeal information is obtained by training a plurality of sample pairs containing the feature vector and the appeal information.

In a specific implementation, an information conversion model may be constructed according to a relationship between current service flow feature information and the hardware information structure and the appeal information, the information conversion model may perform feature extraction on the current service flow feature information and the hardware information structure to obtain the first feature vector, and then the information conversion model determines the appeal information according to the first feature vector and a conversion relationship between the first feature vector and the appeal information. The information transformation model may be a neural network model, and the information transformation model may be trained by a plurality of sample pairs including feature vectors and appeal information.

304: and the terminal equipment connects the service corresponding to the current service flow to the target network slice according to the target network slice information.

And after determining the target network slice information, the terminal equipment connects the service corresponding to the current service flow to the target network slice.

Referring to fig. 4, fig. 4 is a schematic structural diagram of a terminal device according to an embodiment of the present application, where the information processing apparatus may be configured to execute the operation of the terminal device in fig. 3. As shown in fig. 4, the terminal device includes: an acquisition unit 401, a first determination unit 402, a second determination unit 403, a connection unit 404, wherein,

an obtaining unit 401, configured to obtain hardware information of a terminal device, where at least one piece of network slice information is stored in the terminal device;

a first determining unit 402, configured to determine current service flow characteristic information of the terminal device;

a second determining unit 403, configured to determine, according to the current service flow feature information and the hardware information, target network slice information in the at least one network slice information;

a connecting unit 404, configured to connect the service corresponding to the current service flow to the target network slice according to the target network slice information.

Optionally, the second determining unit 403 is specifically configured to: determining the type of a target network slice according to the current service flow characteristic information and the hardware information; determining appeal information of a target network slice according to the current service flow characteristic information and the hardware information, wherein the appeal information comprises at least one appeal parameter and parameter content of the at least one appeal parameter; selecting the target slice information from the at least one network slice information according to the type of the target network slice and appeal information of the target network slice.

Optionally, in the aspect of determining the type of the target network slice according to the current service flow feature information and the hardware information, the second determining unit 403 is specifically configured to: determining the type of the network slice supported by the terminal equipment according to the hardware information; determining the type of a network slice supporting the current service flow according to the characteristic information of the current service flow; and determining the type of the target network slice according to the type of the network slice supported by the terminal equipment and the type of the network slice supporting the requirement of the current service flow.

Optionally, in the aspect of determining the type of the network slice supported by the terminal device according to the hardware information, the second determining unit 403 is specifically configured to: determining a hardware characteristic vector of the terminal equipment according to the hardware information; calculating the distance between the hardware feature vector and a first reference vector to obtain a first distance, wherein the first reference vector is a reference vector of a network slice of a massive internet of things service type in a first space coordinate system, and the first space coordinate system is a space coordinate system where the hardware feature vector is located; if the first distance is smaller than a first threshold value, determining that the terminal equipment supports network slices of massive Internet of things service types; calculating the distance between the hardware feature vector and a second reference vector to obtain a second distance, wherein the second reference vector is a reference vector of the network slice of the enhanced mobile broadband service type in the first space coordinate system; if the second distance is smaller than a second threshold value, determining that the terminal equipment supports the network slice of the enhanced mobile broadband service type; calculating the distance between the hardware feature vector and a third reference vector to obtain a third distance, wherein the third reference vector is a reference vector of a network slice of an ultra-reliability time delay service type in the first space coordinate system; and if the third distance is smaller than a third threshold value, determining that the terminal equipment supports the network slice of the type of the ultra-reliability delay service.

Optionally, in the aspect of determining the type of the network slice supporting the current service flow according to the current service flow feature information, the second determining unit 403 is specifically configured to: determining a service characteristic vector of the current service flow according to the current service flow characteristic information; calculating the distance between the service feature vector and a fourth reference vector to obtain a fourth distance, wherein the fourth reference vector is a reference vector of a network slice of a massive internet of things service type in a second space coordinate system, and the second space coordinate system is a space coordinate system where the hardware feature vector is located; if the fourth distance is smaller than a fourth threshold value, determining that the network slice of the massive Internet of things service type is the type of the network slice supporting the current service flow; calculating the distance between the service characteristic vector and a fifth reference vector to obtain a fifth distance, wherein the fifth reference vector is a reference vector of the network slice of the enhanced mobile broadband service type in the second space coordinate system; if the fifth distance is smaller than a fifth threshold, determining that the network slice of the enhanced mobile broadband service type is the type of the network slice supporting the current service flow; calculating the distance between the service characteristic vector and a sixth reference vector to obtain a sixth distance, wherein the sixth reference vector is a reference vector of the network slice of the ultra-reliability time delay service type in the second spatial coordinate system; and if the sixth distance is smaller than a sixth threshold, determining that the network slice of the ultra-reliability delay service type is the type of the network slice supporting the current service flow.

Optionally, the second determining unit 403 is further configured to: and determining default network slice information in the at least one piece of network slice information as the target network slice information under the condition that the intersection of the type of the network slice supported by the terminal equipment and the type of the network slice supporting the requirement of the current service flow is empty.

Optionally, in the aspect of determining the appeal information of the target network slice according to the current service flow feature information and the hardware information, the second determining unit 403 is specifically configured to: determining a first feature vector according to the current service flow feature information and the hardware information, wherein the first feature vector represents the features of each hardware parameter in the hardware information and the features of each parameter in the current service flow feature information; and determining the appeal information according to the first feature vector and the conversion relation between the first feature vector and the appeal information, wherein the conversion relation between the first feature vector and the appeal information is obtained by training a plurality of sample pairs containing the feature vector and the appeal information.

Optionally, the hardware information includes at least one of a memory, a CPU, a GPU, a product name, and a product model.

Optionally, the terminal device further includes:

It should be noted that each functional module in the embodiment of the present application may also be specifically implemented according to the method in the foregoing method embodiment, and details are not described here again.

Referring to fig. 5, fig. 5 is a schematic structural diagram of an information processing apparatus 500 according to an embodiment of the present disclosure, where the information processing apparatus 500 at least includes a processor 510, a transceiver 520, and a memory 530, and the processor 510, the transceiver 520, and the memory 530 are connected to each other through a bus 540, where,

the processor 510 may be a Central Processing Unit (CPU), or a combination of a CPU and a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof. The PLD may be a Complex Programmable Logic Device (CPLD), a field-programmable gate array (FPGA), a General Array Logic (GAL), or any combination thereof.

The transceiver 520 may include a receiver and a transmitter, such as a radio frequency module, and the processor 510 described below receives or transmits a message, which is specifically understood to be the transceiver through which the processor 510 receives or transmits.

The Memory 530 includes, but is not limited to, a Random Access Memory (RAM), a Read-Only Memory (ROM), or an erasable programmable Read-Only Memory (EPROM or flash Memory), and the Memory 530 is used to store related instructions and data and transmit the stored data to the processor 510.

The processor 510 in the information processing apparatus 500 is configured to read the relevant instructions in the memory 530 to perform the following operations:

processor 510 obtains hardware information of a terminal device, in which at least one network slice information is stored; (ii) a

The processor 510 determines the current service flow characteristic information of the terminal device;

processor 510 determines target network slice information of the at least one network slice information according to the current traffic flow feature information and the hardware information;

the processor 510 connects the service corresponding to the current traffic flow to the target network slice according to the target network slice information.

Specifically, for specific implementation of various operations executed by the information processing apparatus 500, reference may be made to specific operations of the terminal device in the foregoing method embodiment, which are not described herein again.

It will be appreciated that fig. 5 only shows a simplified design of the terminal device. In practical applications, the terminal devices may further include necessary other components, including but not limited to any number of input/output devices, processors, controllers, memories, etc., and all the motion recognition devices that can implement the embodiments of the present application are within the protection scope of the present application.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the division of the unit is only one logical function division, and other division may be implemented in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. The shown or discussed mutual coupling, direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some interfaces, and may be in an electrical, mechanical or other form.

Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, the computer program enabling a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes an electronic device.

Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising an electronic device.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.

The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for network slice selection, the method comprising:

acquiring hardware information of terminal equipment, wherein at least one piece of network slice information is stored in the terminal equipment;

determining the current service flow characteristic information of the terminal equipment;

determining target network slice information in the at least one piece of network slice information according to the current service flow characteristic information and the hardware information;

and connecting the service corresponding to the current service flow to the target network slice according to the target network slice information.

2. The method of claim 1, wherein the determining the target network slice information of the at least one network slice information according to the current traffic flow feature information and the hardware information comprises:

determining the type of a target network slice according to the current service flow characteristic information and the hardware information;

determining appeal information of a target network slice according to the current service flow characteristic information and the hardware information, wherein the appeal information comprises at least one appeal parameter and parameter content of the at least one appeal parameter;

selecting the target slice information from the at least one network slice information according to the type of the target network slice and appeal information of the target network slice.

3. The method of claim 2, wherein the determining the type of the target network slice according to the current traffic flow feature information and the hardware information comprises:

determining the type of the network slice supported by the terminal equipment according to the hardware information;

determining the type of a network slice supporting the current service flow according to the characteristic information of the current service flow;

and determining the type of the target network slice according to the type of the network slice supported by the terminal equipment and the type of the network slice supporting the requirement of the current service flow.

4. The method of claim 3, wherein the determining the type of the network slice supported by the terminal device according to the hardware information comprises:

determining a hardware characteristic vector of the terminal equipment according to the hardware information;

calculating the distance between the hardware feature vector and a first reference vector to obtain a first distance, wherein the first reference vector is a reference vector of a network slice of a massive internet of things service type in a first space coordinate system, and the first space coordinate system is a space coordinate system where the hardware feature vector is located;

if the first distance is smaller than a first threshold value, determining that the terminal equipment supports network slices of massive Internet of things service types;

calculating the distance between the hardware feature vector and a second reference vector to obtain a second distance, wherein the second reference vector is a reference vector of the network slice of the enhanced mobile broadband service type in the first space coordinate system;

if the second distance is smaller than a second threshold value, determining that the terminal equipment supports the network slice of the enhanced mobile broadband service type;

calculating the distance between the hardware feature vector and a third reference vector to obtain a third distance, wherein the third reference vector is a reference vector of a network slice of an ultra-reliability time delay service type in the first space coordinate system;

and if the third distance is smaller than a third threshold value, determining that the terminal equipment supports the network slice of the type of the ultra-reliability delay service.

5. The method of claim 3 or 4, wherein the determining the type of the network slice supporting the current traffic flow according to the current traffic flow feature information comprises:

determining a service characteristic vector of the current service flow according to the current service flow characteristic information;

calculating the distance between the service feature vector and a fourth reference vector to obtain a fourth distance, wherein the fourth reference vector is a reference vector of a network slice of a massive internet of things service type in a second space coordinate system, and the second space coordinate system is a space coordinate system where the hardware feature vector is located;

if the fourth distance is smaller than a fourth threshold value, determining that the network slice of the massive Internet of things service type is the type of the network slice supporting the current service flow;

calculating the distance between the service characteristic vector and a fifth reference vector to obtain a fifth distance, wherein the fifth reference vector is a reference vector of the network slice of the enhanced mobile broadband service type in the second space coordinate system;

if the fifth distance is smaller than a fifth threshold, determining that the network slice of the enhanced mobile broadband service type is the type of the network slice supporting the current service flow;

calculating the distance between the service characteristic vector and a sixth reference vector to obtain a sixth distance, wherein the sixth reference vector is a reference vector of the network slice of the ultra-reliability time delay service type in the second spatial coordinate system;

and if the sixth distance is smaller than a sixth threshold, determining that the network slice of the ultra-reliability delay service type is the type of the network slice supporting the current service flow.

6. The method according to any of claims 2-5, wherein the determining the type of the target network slice according to the type of the network slice supported by the terminal device and the type of the network slice supporting the requirement of the current traffic flow comprises:

and determining the type of the network slice corresponding to the intersection as the type of the target network slice under the condition that the intersection of the type of the network slice supported by the terminal equipment and the type of the network slice supporting the requirement of the current service flow is not empty.

7. The method of claim 6, further comprising:

and determining default network slice information in the at least one piece of network slice information as the target network slice information under the condition that the intersection of the type of the network slice supported by the terminal equipment and the type of the network slice supporting the requirement of the current service flow is empty.

8. The method of any one of claims 2 to 7, wherein the determining appeal information of the target network slice according to the current traffic flow feature information and the hardware information comprises:

determining a first feature vector according to the current service flow feature information and the hardware information, wherein the first feature vector represents the features of each hardware parameter in the hardware information and the features of each parameter in the current service flow feature information;

and determining the appeal information according to the first feature vector and the conversion relation between the first feature vector and the appeal information, wherein the conversion relation between the first feature vector and the appeal information is obtained by training a plurality of sample pairs containing the feature vector and the appeal information.

9. The method according to any of claims 1-8, wherein the hardware information comprises at least one of memory, Central Processing Unit (CPU), Graphics Processing Unit (GPU), product name, and product model.

10. The method according to any of claims 1-8, wherein the current traffic flow characteristic information comprises at least one of a delay condition, a bandwidth condition, a jitter condition, a wireless received signal strength condition, and a window size.

11. The method according to any one of claims 1-9, further comprising:

updating the at least one piece of network slice information saved in the terminal equipment under the condition that the position update of the terminal equipment is detected;

or, the at least one piece of network slice information stored in the terminal device is updated periodically.

12. A terminal device, comprising:

13. The terminal device of claim 12,

the second determining unit is specifically configured to: determining the type of a target network slice according to the current service flow characteristic information and the hardware information; determining appeal information of a target network slice according to the current service flow characteristic information and the hardware information, wherein the appeal information comprises at least one appeal parameter and parameter content of the at least one appeal parameter; selecting the target slice information from the at least one network slice information according to the type of the target network slice and appeal information of the target network slice.

14. The terminal device according to claim 13, wherein in the aspect of determining the type of the target network slice according to the current traffic flow feature information and the hardware information, the second determining unit is specifically configured to: determining the type of the network slice supported by the terminal equipment according to the hardware information; determining the type of a network slice supporting the current service flow according to the characteristic information of the current service flow; and determining the type of the target network slice according to the type of the network slice supported by the terminal equipment and the type of the network slice supporting the requirement of the current service flow.

15. The terminal device according to claim 14, wherein in the determining the type of the network slice supported by the terminal device according to the hardware information, the second determining unit is specifically configured to: determining a hardware characteristic vector of the terminal equipment according to the hardware information; calculating the distance between the hardware feature vector and a first reference vector to obtain a first distance, wherein the first reference vector is a reference vector of a network slice of a massive internet of things service type in a first space coordinate system, and the first space coordinate system is a space coordinate system where the hardware feature vector is located; if the first distance is smaller than a first threshold value, determining that the terminal equipment supports network slices of massive Internet of things service types; calculating the distance between the hardware feature vector and a second reference vector to obtain a second distance, wherein the second reference vector is a reference vector of the network slice of the enhanced mobile broadband service type in the first space coordinate system; if the second distance is smaller than a second threshold value, determining that the terminal equipment supports the network slice of the enhanced mobile broadband service type; calculating the distance between the hardware feature vector and a third reference vector to obtain a third distance, wherein the third reference vector is a reference vector of a network slice of an ultra-reliability time delay service type in the first space coordinate system; and if the third distance is smaller than a third threshold value, determining that the terminal equipment supports the network slice of the type of the ultra-reliability delay service.

16. The terminal device according to claim 14 or 15, wherein in the aspect of determining the type of the network slice supporting the current traffic flow according to the current traffic flow feature information, the second determining unit is specifically configured to: determining a service characteristic vector of the current service flow according to the current service flow characteristic information; calculating the distance between the service feature vector and a fourth reference vector to obtain a fourth distance, wherein the fourth reference vector is a reference vector of a network slice of a massive internet of things service type in a second space coordinate system, and the second space coordinate system is a space coordinate system where the hardware feature vector is located; if the fourth distance is smaller than a fourth threshold value, determining that the network slice of the massive Internet of things service type is the type of the network slice supporting the current service flow; calculating the distance between the service characteristic vector and a fifth reference vector to obtain a fifth distance, wherein the fifth reference vector is a reference vector of the network slice of the enhanced mobile broadband service type in the second space coordinate system; if the fifth distance is smaller than a fifth threshold, determining that the network slice of the enhanced mobile broadband service type is the type of the network slice supporting the current service flow; calculating the distance between the service characteristic vector and a sixth reference vector to obtain a sixth distance, wherein the sixth reference vector is a reference vector of the network slice of the ultra-reliability time delay service type in the second spatial coordinate system; and if the sixth distance is smaller than a sixth threshold, determining that the network slice of the ultra-reliability delay service type is the type of the network slice supporting the current service flow.

17. The terminal device according to any one of claims 13 to 16, wherein in the aspect of determining the type of the target network slice according to the type of the network slice supported by the terminal device and the type of the network slice supporting the requirement of the current traffic flow, the second determining unit is specifically configured to: and determining the type of the network slice corresponding to the intersection as the type of the target network slice under the condition that the intersection of the type of the network slice supported by the terminal equipment and the type of the network slice supporting the requirement of the current service flow is not empty.

18. The terminal device according to claim 17, wherein the second determining unit is further configured to: and determining default network slice information in the at least one piece of network slice information as the target network slice information under the condition that the intersection of the type of the network slice supported by the terminal equipment and the type of the network slice supporting the requirement of the current service flow is empty.

19. The terminal device according to any one of claims 13 to 18, wherein, in the aspect of determining the appeal information of the target network slice according to the current traffic flow feature information and the hardware information, the second determining unit is specifically configured to: determining a first feature vector according to the current service flow feature information and the hardware information, wherein the first feature vector represents the features of each hardware parameter in the hardware information and the features of each parameter in the current service flow feature information; and determining the appeal information according to the first feature vector and the conversion relation between the first feature vector and the appeal information, wherein the conversion relation between the first feature vector and the appeal information is obtained by training a plurality of sample pairs containing the feature vector and the appeal information.

20. The terminal device according to any of claims 12-19, wherein the hardware information comprises at least one of memory, central processing unit, CPU, graphics processing unit, GPU, product name, product model.

21. The terminal device according to any of claims 12-19, wherein the current traffic flow characteristic information comprises at least one of a delay condition, a bandwidth condition, a jitter condition, a radio received signal strength condition, a window size.

22. The terminal device according to any of claims 12-21, wherein the terminal device further comprises:

23. A terminal device comprising a memory, one or more processors, and a plurality of application programs, wherein the memory stores the one or more programs; one or more processors, when executing the one or more programs, cause the terminal to perform the method of any of claims 1 to 11.

24. A computer storage medium comprising computer instructions which, when run on a terminal, cause the terminal to perform the method of any one of claims 1 to 11.

25. A computer program product, characterized in that, when run on a terminal, causes the terminal to perform the method according to any of claims 1 to 11.