CN116347564A

CN116347564A - Method and equipment for selecting auxiliary cell/access mode of core network aiming at slice

Info

Publication number: CN116347564A
Application number: CN202111587610.2A
Authority: CN
Inventors: 陈卓怡; 龙彪
Original assignee: China Telecom Corp Ltd
Current assignee: China Telecom Corp Ltd
Priority date: 2021-12-23
Filing date: 2021-12-23
Publication date: 2023-06-27
Also published as: WO2023115941A1

Abstract

The embodiment of the disclosure provides a method and equipment for selecting a core network auxiliary cell/access mode aiming at slicing, belonging to the field of mobile communication. The method is performed by a first core network element, the method comprising: acquiring network analysis information of a slice in the S-NSSAI allowed by the user equipment; determining a target wireless frequency selection priority RFSP index and/or a target access mode for user equipment based on the sliced network analysis information; transmitting the target wireless frequency selection priority RFSP index and/or the target access mode to a second core network element; wherein the second core network element is configured to: if the target RFSP index is included, the target RFSP index is sent to a base station, and the base station is used for selecting a target cell for a target slice of the user equipment according to the target RFSP index; and if the target access mode is included, the target access mode is sent to the user equipment, and the user equipment is used for accessing the target slice of the user equipment according to the target access mode.

Description

Method and equipment for selecting auxiliary cell/access mode of core network aiming at slice

Technical Field

The disclosure relates to the technical field of mobile communication, and in particular relates to a method for selecting a core network assisted cell/access mode for slicing, a first core network element, a third core network element and a computer readable storage medium.

Background

Related projects research was conducted on core network assisted cell selection to obtain a better slicing experience. The user may obtain different service experiences using the same slice in different frequency bands. Thus, the wireless side sends an RFSP Index (Radio Frequency Selection Priority Index, RFSP Index, radio frequency selection priority Index) to direct the base station to select the appropriate frequency/cell for the user to obtain the optimal slicing experience.

However, no parameters for the slice service experience or requirements are defined in the description of the slice in the current specification. The decision network element PCF (Policy Control Function, policy control function, or policy and charging control function) of the core network has no valid reference information to select the appropriate RFSP Index for the slice.

In addition, the user can access the slice through different access modes, and different slice experiences can exist. The core network also lacks reference information for guiding the UE (User Equipment) to select a more appropriate Access Type for the slice.

Disclosure of Invention

The embodiment of the disclosure provides a method for selecting a core network auxiliary cell/access mode for slicing, a first core network element, a third core network element and a computer readable storage medium, which can determine a target RFSP index and/or a target access mode according to network analysis information of slicing in an allowed S-nsai (Allowed Single Network Slice Selection Assistance Information, allowed single network slice selection auxiliary information) of user equipment.

The embodiment of the disclosure provides a method for selecting a core network auxiliary cell/access mode for slicing, which is executed by a first core network element, and comprises the following steps: acquiring network analysis information of a slice in the allowed single network slice selection auxiliary information S-NSSAI of the user equipment; determining a target radio frequency selection priority RFSP index and/or a target access mode for the user equipment based on the network analysis information of the slice; transmitting the target wireless frequency selection priority RFSP index and/or the target access mode to a second core network element; wherein the second core network element is configured to: if the target RFSP index is included, the target RFSP index is sent to a base station, and the base station is used for selecting a target cell for a target slice of the user equipment according to the target RFSP index; and if the target access mode is included, the target access mode is sent to the user equipment, and the user equipment is used for accessing the target slice of the user equipment according to the target access mode. The method provided by the embodiment of the present disclosure may be performed by the first core network element, or may be performed by a chip configured in the first core network element, which is not limited in this disclosure.

The embodiment of the disclosure provides a method for selecting a core network auxiliary cell/access mode for slicing, which is executed by a third core network element, and comprises the following steps: receiving a network analysis request from a first core network element or a second core network element; responding to the network analysis request, and generating network analysis information of the slice in the S-NSSAI allowed by the user equipment; transmitting network analysis information of the slice in the allowed S-NSSAI of the user equipment to the first core network element; the first core network element is configured to: and determining a target radio frequency selection priority RFSP index and/or a target access mode for the user equipment based on the network analysis information of the slice, and transmitting the target radio frequency selection priority RFSP index and/or the target access mode to a second core network element. The second core network element is configured to: if the target RFSP index is included, the target RFSP index is sent to a base station, and the base station is used for selecting a target cell for a target slice of the user equipment according to the target RFSP index; and if the target access mode is included, the target access mode is sent to the user equipment, and the user equipment is used for accessing the target slice of the user equipment according to the target access mode. The method provided by the embodiment of the present disclosure may be performed by the third core network element, or may be performed by a chip configured in the third core network element, which is not limited in this disclosure.

The embodiment of the disclosure provides a first core network element, which comprises: a first receiving unit, configured to obtain network analysis information of a slice in the allowed S-nsai of the user equipment; the first processing unit is used for determining a target radio frequency selection priority RFSP index and/or a target access mode for the user equipment based on the network analysis information of the slice; and the first sending unit is used for sending the target radio frequency selection priority RFSP index and/or the target access mode to the second core network element. Wherein the second core network element is configured to: if the target RFSP index is included, the target RFSP index is sent to a base station, and the base station is used for selecting a target cell for a target slice of the user equipment according to the target RFSP index; and if the target access mode is included, the target access mode is sent to the user equipment, and the user equipment is used for accessing the target slice of the user equipment according to the target access mode. The first receiving unit, the first processing unit and the first sending unit included in the first core network element may be implemented in a software and/or hardware manner.

The embodiment of the disclosure provides a third core network element, which comprises: a second receiving unit, configured to receive a network analysis request from the first core network element or the second core network element; the second processing unit is used for responding to the network analysis request and generating network analysis information of the slice in the allowed S-NSSAI of the user equipment; and the second sending unit is used for transmitting the network analysis information of the slice in the allowed S-NSSAI of the user equipment to the first core network element. The first core network element is configured to: and determining a target radio frequency selection priority RFSP index and/or a target access mode for the user equipment based on the network analysis information of the slice, and transmitting the target radio frequency selection priority RFSP index and/or the target access mode to a second core network element. The second core network element is configured to: if the target RFSP index is included, the target RFSP index is sent to a base station, and the base station is used for selecting a target cell for a target slice of the user equipment according to the target RFSP index; and if the target access mode is included, the target access mode is sent to the user equipment, and the user equipment is used for accessing the target slice of the user equipment according to the target access mode. The second receiving unit, the second processing unit and the second sending unit included in the third core network element may be implemented in a software and/or hardware manner.

The disclosed embodiments provide a computer readable storage medium having stored thereon a computer program for execution by a communication device, which when executed by the communication device, implements a method in any one of the possible implementations of the embodiments described above.

For example, the computer readable storage medium may store therein a computer program for execution by a first core network element, which program, when executed by a processor, implements instructions of the method performed by the first core network element in the above-described embodiments.

For example, the computer readable storage medium may store therein a computer program for execution by a third core network element, which program, when executed by a processor, implements instructions of the method performed by the third core network element in the above-described embodiments.

Embodiments of the present disclosure provide a computer program product containing instructions. The computer program product, when run on a communication device, causes the communication device to execute instructions of the method in the above-described parties or any one of the possible implementations of the above-described parties.

For example, the computer program product, when executed on the first core network element, causes the first core network element to perform the instructions of the method in any one of the possible implementations of the embodiments described above.

For example, the computer program product, when executed on the third core network element, causes the third core network element to perform the instructions of the method in any one of the possible implementations of the embodiments described above.

The disclosed embodiments provide a system chip comprising an input-output interface and at least one processor for invoking instructions in a memory to perform the operations of the method in any of the above-described possible implementations.

Optionally, the system chip may further include at least one memory for storing instructions for execution by the processor and a bus.

The embodiment of the disclosure provides a wireless communication system, which comprises the first core network element and the third core network element.

Drawings

Fig. 1 schematically illustrates an application scenario diagram of a method for core network assisted cell/access mode selection for a slice according to an embodiment of the present disclosure.

Fig. 2 schematically illustrates a flow chart of a method of core network assisted cell/access mode selection for a slice according to an embodiment of the disclosure.

Fig. 3 schematically illustrates an interactive schematic diagram of a method of core network assisted cell/access mode selection for a slice according to an embodiment of the present disclosure.

Fig. 4 schematically illustrates a flow chart of a method of core network assisted cell/access mode selection for a slice according to another embodiment of the present disclosure.

Fig. 5 schematically illustrates a block diagram of a first core network element according to an embodiment of the present disclosure.

Fig. 6 schematically illustrates a block diagram of a third core network element according to an embodiment of the present disclosure.

Fig. 7 schematically illustrates a schematic block diagram of a communication device according to an embodiment of the present 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.

In the description of the present disclosure, unless otherwise indicated, "/" means "or" and, for example, a/B may mean a or B. "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. Furthermore, "at least one" means one or more, and "a plurality" means two or more. The terms "first," "second," and the like do not limit the number and order of execution, and the terms "first," "second," and the like do not necessarily differ.

The scheme provided by the embodiment of the present disclosure can be widely applied to a wireless communication system in order to provide various types of communication contents, such as voice, video, packet data, messaging, broadcasting, and so on. These systems are capable of supporting communication with multiple users by sharing available system resources (e.g., time, frequency, and power). Such multiple access systems include, for example, fourth generation (4G) systems (e.g., long term evolution (Long Term Evolution, LTE) systems or LTE-advanced (LTE-a) systems) and fifth generation (5G) systems (which may be referred to as New Radio (NR) systems). These systems may employ techniques such as code division multiple access (Code Division Multiple Access, abbreviated CDMA), time division multiple access (Time division multiple access, TDMA), frequency division multiple access (frequency division multiple access, FDMA), orthogonal frequency division multiple access (Orthogonal Frequency Division Multiple Access, OFDMA), or discrete fourier transform spread OFDM, among others. A wireless multiple-access communication system may include multiple base stations or network access nodes, each supporting communication for multiple communication devices, which may be referred to as User Equipment, UEs, or terminals, simultaneously.

Fig. 1 illustrates an example of a wireless communication system 100 in accordance with various aspects of the present disclosure. The wireless communication system 100 includes a base station 105, a UE 115, and a core network 130. In some examples, the wireless communication system 100 may be an LTE network, an LTE-a network, or an NR network. In some cases, the wireless communication system 100 may support enhanced broadband communications, ultra-reliable (e.g., mission critical) communications, low latency communications, or communications with low cost and low complexity devices.

Base station 105 may communicate wirelessly with UE 115 via one or more base station antennas. The base stations 105 described herein may include base station transceivers, radio base stations, access points, radio transceivers, node bs, evolved node bs (enbs), next generation node bs or giganode bs (any of which may be referred to as a gNB), home node bs, home evolved node bs, or some other suitable terminology. The wireless communication system 100 may include different types of base stations 105 (e.g., macro base stations or small cells). The UEs 115 described herein are capable of communicating with various types of base stations 105 and network devices (including macro enbs, small cell enbs, gnbs, relay base stations, etc.).

Each base station 105 may be associated with a particular geographic coverage area 110 in which communications with the respective UE 115 are supported. Each base station 105 may provide communication coverage for a respective geographic coverage area 110 via a communication link 125, and the communication link 125 between the base station 105 and the UE 115 may utilize one or more carriers. The communication links 125 shown in the wireless communication system 100 may include: uplink transmissions from UE 115 to base station 105, or downlink transmissions from base station 105 to UE 115. The downlink transmission may also be referred to as a forward link transmission, while the uplink transmission may also be referred to as a reverse link transmission.

The base stations 105 may communicate with the core network 130 and with each other. For example, the base station 105 may interface with the core network 130 through a backhaul link 132. The base stations 105 may communicate with each other directly or indirectly over the backhaul link 134.

In addition, the terminals referred to in the embodiments of the present disclosure are devices that provide voice and/or data connectivity to a user, handheld devices with wireless connection capabilities, or other processing devices connected to a wireless modem. The terminals may be mobile terminals such as mobile telephones (or "cellular" telephones) and computers with mobile terminals, which may be, for example, portable, pocket, hand-held, computer-built-in or car-mounted mobile devices which exchange voice and/or data with radio access networks. A Terminal may also be referred to as a Subscriber Unit (Subscriber Unit), a Subscriber Station (Subscriber Sta tion), a Mobile Station (Mobile Station), a Remote Station (RemoteStation), an AP (Access Point), a Remote Terminal (Remote Terminal), an Access Terminal (Access Terminal), a User Terminal (User Terminal), a User Agent (User Agent), or a UE, without limitation.

The method for core network assisted cell/access mode selection for slicing provided in the embodiment of fig. 2 may be performed by the first core network element.

In an exemplary embodiment, the first core network element may be a PCF, but the disclosure is not limited thereto.

As shown in fig. 2, the method provided by the embodiment of the present disclosure may include the following steps.

In S210, network analysis information of a slice in the allowed single network slice selection assistance information S-NSSAI of the user is acquired.

In the embodiment of the disclosure, the network analysis information of the slice in the Allowed S-nsai of the UE may include the network analysis information of each slice in the Allowed S-nsai of the UE, and may also include the network analysis information of the target slice in the Allowed S-nsai of the UE, where the target slice may be the slice that is being used by the UE, or the slice that is most likely to be used by the UE at a specific time and a specific location.

The network analysis information in the embodiments of the present disclosure refers to the relevant information obtained by analyzing the relevant information of the slice that is historically used by the UE or the UE group, and the relevant information of the slice that is historically used by the UE or the UE group may include, but is not limited to, what slice is historically used at what time and what place the user corresponding to the UE or the UE group uses, the frequency and the access mode adopted when the slice is used, the service experience brought by using the slice under different frequencies and different access modes, and the like. The obtained relevant information may include, but is not limited to, the most likely slice to be used by the UE or the UE group at a specific time and location (referred to as a target slice), what frequency the target slice or the slice being used by the UE (determined by the target RFSP Index), what access mode (target access mode) may achieve an optimal service experience, etc.

The specific time and specific location in the embodiments of the present disclosure may be the current time and current location of the UE, or may be a future time and location for which prediction is required, which is not limited by the present disclosure.

In an exemplary embodiment, the network analysis information may include usage preference statistics of the slices in the allowed S-nsais of the user equipment or usage preference prediction information of the slices in the allowed S-nsais of the user equipment. The acquiring network analysis information of the slice in the allowed S-nsai of the user equipment may include: sending a first slice use preference statistics request to a third core network element to request the third core network element to count the use preference information of the slice in the allowed S-NSSAI of the user equipment, and obtaining the use preference statistics information of the slice in the allowed S-NSSAI of the user equipment; or sending a first slice use preference prediction request to a third core network element to request the third core network element to predict the use preference information of the slice in the allowed S-nsai of the user equipment, and obtaining the use preference prediction information of the slice in the allowed S-nsai of the user equipment; and receiving returned statistical information of the usage preference of the slice in the allowed S-NSSAI of the user equipment or the usage preference prediction information of the slice in the allowed S-NSSAI of the user equipment from the third core network element.

In the embodiments of the present disclosure, the usage preference statistics may be used to represent usage preferences of the UE or UE group for each slice in the Allowed S-nsai of the UE in different situations, which may be obtained by statistically analyzing what slices were used by the UE or UE group at what time and what locations historically.

In an exemplary embodiment, the usage preference statistics of the slices in the allowed S-nsais of the user equipment may include occupancy ratios of the slices historically used by the user equipment at different locations and at different times.

For example, the slice with the highest occupancy rate may be the target slice that the UE is most likely to use at a particular time and location, based on the occupancy rates of the various slices that the UE historically uses at different locations and at different times.

In the disclosed embodiments, the usage preference prediction information may be used to represent usage preferences of the UE or UE group for each slice in the Allowed S-nsai of the UE under different conditions, and an AI (Artificial Intelligence ) model may be trained using what slice was historically used in what location and time by the UE or UE group as a tagged sample, by which the target slice that the UE or UE group is most likely to use at a specific location and time is predicted.

In the embodiment of the present disclosure, the third core network element may be NWDAF (Network Data Analytics Function, network data analysis function), but the present disclosure is not limited thereto, and any network element having a statistical or predictive analysis function in the core network may be used, and with the development of network technology, it is possible to name by other names.

In some embodiments, the PCF may send a first slice usage preference statistics request to the NWDAF to request the NWDAF to count usage preference information for each slice in the Allowed S-NSSAI for the UE, obtaining the usage preference statistics information for each slice in the Allowed S-NSSAI for the UE.

In some embodiments, the PCF may send a first slice usage preference prediction request to the NWDAF to request the NWDAF to predict the usage preference information for each slice in the Allowed S-NSSAI for the UE to obtain the usage preference prediction information for each slice in the Allowed S-NSSAI for the UE.

In an exemplary embodiment, the network analysis information may include usage preference statistics of the slices in the allowed S-nsais of the user equipment or usage preference prediction information of the slices in the allowed S-nsais of the user equipment. The acquiring network analysis information of the slice in the allowed S-nsai of the user equipment may include: acquiring the statistical information of the usage preference of the slice in the allowed S-NSSAI of the user equipment from the second core network element; or obtaining the usage preference prediction information of the slice in the allowed S-nsai of the user equipment from the second core network element. The second core network element may be configured to send a second slice usage preference statistics request to a third core network element, so as to request the third core network element to perform statistics on usage preference information of slices in allowed S-nsais of the user equipment, obtain usage preference statistics information of slices in allowed S-nsais of the user equipment, and receive returned usage preference statistics information of slices in allowed S-nsais of the user equipment from the third core network element; or the second core network element is configured to send a second slice usage preference prediction request to a third core network element, so as to request the third core network element to predict the usage preference information of the slice in the allowed S-nsai of the user equipment, count the usage preference prediction information of the slice in the allowed S-nsai of the user equipment, obtain the usage preference prediction information of the slice in the allowed S-nsai of the user equipment, and receive the returned usage preference prediction information of the slice in the allowed S-nsai of the user equipment from the third core network element.

In some embodiments, the AMF may send a second slice usage preference statistics request to the NWDAF to request the NWDAF to count the usage preference information of each slice in the Allowed S-NSSAI of the UE to obtain the usage preference statistics information of each slice in the Allowed S-NSSAI of the UE. The PCF may then obtain usage preference statistics for each slice in the UE' S Allowed S-NSSAI from the AMF.

In some embodiments, the AMF may send a second slice usage preference prediction request to the NWDAF to request the NWDAF to predict the usage preference information of each slice in the Allowed S-NSSAI of the UE to obtain the usage preference prediction information of each slice in the Allowed S-NSSAI of the UE. The PCF may then obtain from the AMF the usage preference prediction information for each slice in the Allowed S-NSSAI for the UE.

In S220, a target radio frequency selection priority RFSP index and/or a target access mode is determined for the user equipment based on the network analysis information of the slice.

In an exemplary embodiment, determining a target radio frequency selection priority RFSP index for the user equipment based on the network analysis information of the slice may include: determining a target slice of the user equipment at a specific time and a specific location based on the usage preference statistics or the usage preference prediction information of the slice; and determining the target RFSP index for the user equipment according to target radio frequency band resources preset for the target slice.

In the embodiment of the disclosure, an operator may set specifically, let a slice acquire better radio resources at a specific frequency, and this information may be preset and stored in the PCF, where the stored information includes target radio frequency band resources corresponding to the target slice, so when the PCF determines, according to the usage preference statistics information or the usage preference prediction information of each slice in the Allowed S-NSSAI of the UE, that the UE is in a specific time and a specific location, the PCF does not need to send a request (for example, a first target slice frequency performance statistics request or a first target slice frequency performance prediction request described below) to the NWDAF, and the AMF does not need to send a request (for example, a second target slice frequency performance statistics request or a second target slice frequency performance prediction request described below) to the NWDAF any more, and the PCF may determine, according to the prestored information, a target RFSP index determined for the UE from the PCF searches for the target radio frequency band resources corresponding to the target slice.

In an exemplary embodiment, the network analysis information may further include service experience statistics of the target slice at each frequency. Wherein determining a target radio frequency selection priority RFSP index for the user equipment based on the network analysis information of the slice may include: determining a target slice of the user equipment at a specific time and a specific location based on the usage preference statistics or the usage preference prediction information of the slice; and determining the target RFSP index for the user equipment based on the service experience statistical information of the target slice under each frequency.

In the embodiment of the disclosure, the service experience statistical information of the target slice under each frequency refers to information obtained by statistically obtaining service experiences of the target slice under different frequencies historically for the UE or the UE group where the UE is located. When the PCF determines the target slice of the UE at the specific time and the specific position according to the usage preference statistics information or the usage preference prediction information of each slice in the Allowed S-NSSAI of the UE, the PCF may further acquire the service experience statistics information of the target slice at different frequencies, and determine the target RFSP index for the UE according to the service experience statistics information of the target slice at different frequencies, for example, may select the RFSP index corresponding to the frequency with the best service experience statistics information as the target RFSP index, but the disclosure is not limited thereto.

In an exemplary embodiment, acquiring network analysis information of a slice in the allowed S-nsai of the user equipment may further include: sending a first target slice frequency performance statistics request to the third core network element to request the third core network element to carry out statistics on service experiences of the target slice under different frequencies, and obtaining service experience statistics information of the target slice under each frequency; and receiving returned service experience statistical information of the target slice under each frequency from the third core network element.

In some embodiments, the PCF may send a first target slice frequency performance statistics request to the NWDAF to request the NWDAF to count service experiences of the target slice at different frequencies, obtain service experience statistics of the target slice at different frequencies, and return the obtained service experience statistics of the target slice at different frequencies to the PCF.

In an exemplary embodiment, acquiring network analysis information of a slice in the allowed S-nsai of the user equipment may further include: and acquiring service experience statistical information of the target slice under each frequency from the second core network element. The second core network element may be configured to send a second target slice frequency performance statistics request to a third core network element, so as to request the third core network element to perform statistics on service experiences of the target slice under different frequencies, obtain service experience statistics information of the target slice under each frequency, and receive returned service experience statistics information of the target slice under each frequency from the third core network element.

In some embodiments, the AMF may send a second target slice frequency performance statistics request to the NWDAF to request the NWDAF to make statistics on service experiences of the target slice at different frequencies, obtain service experience statistics information of the target slice at different frequencies, the NWDAF returns the obtained service experience statistics information of the target slice at different frequencies to the AMF, and the AMF forwards the obtained service experience statistics information of the target slice at different frequencies to the PCF for the PCF to determine a target RFSP index of the UE.

In an exemplary embodiment, the network analysis information may further include service experience prediction information of the target slice at each frequency. Wherein determining a target radio frequency selection priority RFSP index for the user equipment based on the network analysis information of the slice may include: determining a target slice of the user equipment at a specific time and a specific location based on the usage preference statistics or the usage preference prediction information of the slice; and determining the target RFSP index for the user equipment based on the service experience prediction information of the target slice under each frequency.

In the embodiment of the disclosure, the service experience prediction information of the target slice under each frequency refers to taking the UE or the UE group where the UE is located, historically, the service experiences of the target slice under different frequencies are taken as samples with labels, training an AI model in advance, and then predicting the service experiences of the target slice under different frequencies by using the AI model to obtain the service experience prediction information of the target slice under each frequency. When the PCF determines the target slice of the UE at the specific time and the specific position according to the usage preference statistics information or the usage preference prediction information of each slice in the Allowed S-NSSAI of the UE, it may further acquire service experience prediction information of the target slice at different frequencies, and determine the target RFSP index for the UE according to the service experience prediction information of the target slice at different frequencies, for example, may select the RFSP index corresponding to the frequency with the best service experience prediction information as the target RFSP index, but the disclosure is not limited thereto.

In an exemplary embodiment, acquiring network analysis information of a slice in the allowed S-nsai of the user equipment may further include: sending a first target slice frequency performance prediction request to the third core network element to request the third core network element to predict service experience of the target slice under different frequencies, and obtaining service experience prediction information of the target slice under each frequency; and receiving returned service experience prediction information of the target slice under each frequency from the third core network element.

In some embodiments, the PCF may send a first target slice frequency representation prediction request to the NWDAF to request the NWDAF to predict the service experience of the target slice at different frequencies, obtain service experience prediction information of the target slice at different frequencies, and return the obtained service experience prediction information of the target slice at different frequencies to the PCF.

In an exemplary embodiment, acquiring network analysis information of a slice in the allowed S-nsai of the user equipment may further include: and acquiring service experience prediction information of the target slice under each frequency from the second core network element. The second core network element may be configured to send a second target slice frequency representation prediction request to a third core network element, so as to request the third core network element to predict service experiences of the target slice under different frequencies, obtain service experience prediction information of the target slice under each frequency, and receive returned service experience prediction information of the target slice under each frequency from the third core network element.

In some embodiments, the AMF may send a second target slice frequency performance prediction request to the NWDAF to request the NWDAF to predict service experiences of the target slice at different frequencies, obtain service experience prediction information of the target slice at different frequencies, return the obtained service experience prediction information of the target slice at different frequencies to the AMF, and forward the obtained service experience prediction information of the target slice at different frequencies to the PCF for the PCF to determine a target RFSP index of the UE.

In an exemplary embodiment, the network analysis information may further include service experience statistics of the target slice in each access mode. Wherein, based on the network analysis information of the slice, determining a target access mode for the user equipment may include: determining a target slice of the user equipment at a specific time and a specific location based on the usage preference statistics or the usage preference prediction information of the slice; and determining the target access mode for the user equipment based on the service experience statistical information of the target slice in each access mode.

In the embodiment of the disclosure, the service experience statistical information of the target slice in each access mode refers to information obtained by statistically obtaining service experiences of the target slice in different access modes historically for the UE or the UE group in which the UE is located. When the PCF determines the target slice of the UE at the specific time and the specific position according to the usage preference statistics information or the usage preference prediction information of each slice in the Allowed S-NSSAI of the UE, the PCF may further acquire service experience statistics information of the target slice in different access modes, and determine the target access mode for the UE according to the service experience statistics information of the target slice in different access modes, for example, may select the access mode with the best service experience statistics information as the target access mode, but the disclosure is not limited thereto.

In an exemplary embodiment, acquiring network analysis information of a slice in the allowed S-nsai of the user equipment may further include: sending a first target slice access mode performance statistics request to the third core network element to request the third core network element to carry out statistics on service experience of the target slice in different access modes, and obtaining service experience statistics information of the target slice in each access mode; and receiving returned service experience statistical information of the target slice in each access mode from the third core network element.

In some embodiments, the PCF may send a first target slice access mode performance statistics request to the NWDAF to request the NWDAF to make statistics on service experiences of the target slice in different access modes, obtain service experience statistics information of the target slice in different access modes, and return the obtained service experience statistics information of the target slice in different access modes to the PCF.

In some embodiments, the first target slice access mode performance statistics request and the first target slice frequency performance statistics request may be one request message, that is, in the same request message, and request the NWDAF to make statistics on service experiences of the target slice under different frequencies and different access modes. In other embodiments, the first target slice access mode performance statistics request and the first target slice frequency performance statistics request may be two request messages, which is not limited in this disclosure.

In an exemplary embodiment, acquiring network analysis information of a slice in the allowed S-nsai of the user equipment may further include: and acquiring service experience statistical information of the target slice in each access mode from the second core network element. The second core network element is configured to send a second target slice access mode performance statistics request to a third core network element, so as to request the third core network element to perform statistics on service experiences of the target slice in different access modes, obtain service experience statistics information of the target slice in each access mode, and receive returned service experience statistics information of the target slice in each access mode from the third core network element.

In some embodiments, the AMF may send a second target slice access mode performance statistics request to the NWDAF to request the NWDAF to perform statistics on service experiences of the target slice in different access modes, obtain service experience statistics information of the target slice in different access modes, return the obtained service experience statistics information of the target slice in different access modes to the AMF, and forward the obtained service experience statistics information of the target slice in different access modes to the PCF, so that the PCF determines the target access mode of the target slice.

In some embodiments, the second target slice access mode performance statistics request and the second target slice frequency performance statistics request may be one request message, that is, in the same request message, and request the NWDAF to perform statistics on service experiences of the target slice under different frequencies and different access modes at the same time. In other embodiments, the second target slice access mode performance statistics request and the second target slice frequency performance statistics request may be two request messages, which is not limited in this disclosure.

In an exemplary embodiment, the network analysis information may further include service experience prediction information of the target slice in each access mode. Wherein, based on the network analysis information of the slice, determining a target access mode for the user equipment may include: determining a target slice of the user equipment at a specific time and a specific location based on the usage preference statistics or the usage preference prediction information of the slice; and determining the target access mode for the user equipment based on the service experience prediction information of the target slice in each access mode.

In the embodiment of the disclosure, the service experience prediction information of the target slice in each access mode refers to taking the UE or the UE group in which the UE is located, historically, the service experience of the target slice in different access modes is taken as a sample with a label, training an AI model, and predicting the service experience of the target slice in different access modes by using the AI model to obtain the service experience prediction information of the target slice in different access modes. When the PCF determines the target slice of the UE at the specific time and the specific position according to the usage preference statistics information or the usage preference prediction information of each slice in the Allowed S-nsai of the UE, it may further acquire service experience prediction information of the target slice in different access modes, and determine the target access mode for the UE according to the service experience prediction information of the target slice in different access modes, for example, may select the access mode with the best service experience prediction information as the target access mode, but the disclosure is not limited thereto.

In an exemplary embodiment, acquiring network analysis information of a slice in the allowed S-nsai of the user equipment may further include: sending a first target slice access mode performance prediction request to the third core network element to request the third core network element to predict service experience of the target slice in different access modes, and obtaining service experience prediction information of the target slice in each access mode; and receiving returned service experience prediction information of the target slice under each frequency from the third core network element.

In some embodiments, the PCF may send a first target slice access mode performance prediction request to the NWDAF to request the NWDAF to predict service experiences of the target slice in different access modes, obtain service experience prediction information of the target slice in different access modes, and return the obtained service experience prediction information of the target slice in different access modes to the PCF.

In some embodiments, the first target slice access mode performance prediction request and the first target slice frequency performance prediction request may be one request message, that is, in the same request message, and request the NWDAF to predict service experiences of the target slice under different frequencies and different access modes at the same time. In other embodiments, the first target slice access mode performance prediction request and the first target slice frequency performance prediction request may be two request messages, which is not limited in this disclosure.

In an exemplary embodiment, acquiring network analysis information of a slice in the allowed S-nsai of the user equipment may further include: and acquiring service experience prediction information of the target slice in each access mode from the second core network element. The second core network element may be configured to send a second target slice access mode performance prediction request to a third core network element, so as to request the third core network element to predict service experience of the target slice in different access modes, obtain service experience prediction information of the target slice in each access mode, and receive returned service experience prediction information of the target slice in each access mode from the third core network element.

In some embodiments, the AMF may send a second target slice access mode performance prediction request to the NWDAF to request the NWDAF to predict service experiences of the target slice in different access modes, obtain service experience prediction information of the target slice in different access modes, return the obtained service experience prediction information of the target slice in different access modes to the AMF, and forward the obtained service experience prediction information of the target slice in different access modes to the PCF, so that the PCF determines the target access mode of the target slice.

In some embodiments, the second target slice access mode performance prediction request and the second target slice frequency performance prediction request may be one request message, that is, in the same request message, and request the NWDAF to predict service experiences of the target slice under different frequencies and different access modes at the same time. In other embodiments, the second target slice access mode performance prediction request and the second target slice frequency performance prediction request may be two request messages, which is not limited in this disclosure.

In an exemplary embodiment, the network analysis information may include service experience statistics of the S-nsai-enabled slice of the user equipment at each frequency. Wherein determining a target radio frequency selection priority RFSP index for the user equipment based on the network analysis information of the slice may include: and determining the target RFSP index for the user equipment based on the service experience statistical information of the S-NSSAI in the allowed S-NSSAI of the user equipment.

In some embodiments, instead of first acquiring the usage preference statistics and the usage preference prediction information for each slice in the Allowed S-NSSAI of the UE, determining the target slice at the specific time and the specific location based on the acquired usage preference statistics or the usage preference prediction information, then directly acquiring the service experience statistics of the target slice at different frequencies, and then determining the target RFSP index based on the service experience statistics of each slice in the Allowed S-NSSAI of the UE.

For example, if it has been determined that the UE is currently using a slice, the service experience statistics of the UE currently using the slice at different frequencies may be obtained by searching the service experience statistics of each slice at different frequencies from the service experience statistics of the UE' S Allowed S-nsai, and then selecting the frequency with the optimal service experience statistics as the target RFSP index of the UE currently using the slice.

For another example, a slice corresponding to the optimal service experience statistics information may be determined from service experience statistics information of each slice in the Allowed S-nsai of the UE under different frequencies as a target slice of a specific time and a specific position, and the frequency corresponding to the optimal service experience statistics information may be used as a target RFSP index of the target slice.

In an exemplary embodiment, acquiring network analysis information of a slice in the allowed S-nsai of the user equipment may further include: sending a first slice frequency performance statistics request to a third core network element to request the third core network element to carry out statistics on service experience of slices in allowed S-NSSAI of the user equipment under different frequencies, and obtaining service experience statistics information of the slices in the allowed S-NSSAI of the user equipment under each frequency; and receiving returned service experience statistical information of the S-NSSAI in the permission of the user equipment, which is sliced at each frequency, from the third core network element.

In some embodiments, the PCF may send a first slice frequency performance statistics request to the NWDAF to request the NWDAF to make statistics on service experiences of each slice in the Allowed S-nsai of the UE at different frequencies, obtain service experience statistics information of each slice in the Allowed S-nsai of the UE at different frequencies, and return the obtained service experience statistics information of each slice in the Allowed S-nsai of the UE at different frequencies to the PCF.

In an exemplary embodiment, acquiring network analysis information of a slice in the allowed S-nsai of the user equipment may further include: and acquiring service experience statistical information of the slice in the allowed S-NSSAI of the user equipment under each frequency from the second core network element. The second core network element may be configured to send a second slice frequency representation statistics request to a third core network element, so as to request the third core network element to perform statistics on service experiences of slices in allowed S-nsais of the user equipment under different frequencies, obtain service experience statistics information of slices in allowed S-nsais of the user equipment under each frequency, and receive returned service experience statistics information of slices in allowed S-nsais of the user equipment under each frequency from the third core network element.

In some embodiments, the AMF may send a second slice frequency performance statistics request to the NWDAF to request the NWDAF to make statistics on service experiences of each slice in the Allowed S-nsai of the UE at different frequencies, obtain service experience statistics information of each slice in the Allowed S-nsai of the UE at different frequencies, the NWDAF returns the obtained service experience statistics information of each slice in the Allowed S-nsai of the UE at different frequencies to the AMF, and the AMF forwards the obtained service experience statistics information of each slice in the Allowed S-nsai of the UE at different frequencies to the PCF for the PCF to determine the target RFSP index.

In an exemplary embodiment, the network analysis information may include service experience prediction information of the allowed S-nsai slice of the user equipment at each frequency. Wherein determining a target radio frequency selection priority RFSP index for the user equipment based on the network analysis information of the slice may include: and determining the target RFSP index for the user equipment based on the service experience prediction information of the S-NSSAI in the allowed S-NSSAI of the user equipment.

In some embodiments, instead of first obtaining the usage preference statistics and the usage preference prediction information for each slice in the Allowed S-NSSAI of the UE, determining the target slice at the specific time and the specific location based on the obtained usage preference statistics or the usage preference prediction information, then directly obtaining the service experience prediction information for each slice in the Allowed S-NSSAI of the UE at different frequencies, and then determining the target RFSP index based on the service experience prediction information for each slice in the Allowed S-NSSAI of the UE at different frequencies.

For example, if it has been determined that the UE is currently using a slice, the service experience prediction information of the slice currently being used by the UE at different frequencies may be obtained by searching for the service experience prediction information of each slice at different frequencies from the service experience prediction information of the Allowed S-nsai of the UE, and then selecting the frequency with the optimal service experience prediction information as the target RFSP index of the slice currently being used by the UE.

For another example, a slice corresponding to the optimal service experience prediction information may be determined from service experience prediction information of each slice in the Allowed S-nsai of the UE under different frequencies as a target slice of a specific time and a specific position, and the frequency corresponding to the optimal service experience prediction information may be used as a target RFSP index of the target slice.

In an exemplary embodiment, acquiring network analysis information of a slice in the allowed S-nsai of the user equipment may further include: sending a first slice frequency performance prediction request to a third core network element to request the third core network element to predict service experience of the slice in the allowed S-NSSAI of the user equipment under different frequencies, and obtaining service experience prediction information of the slice in the allowed S-NSSAI of the user equipment under each frequency; and receiving returned service experience prediction information of the S-NSSAI which is allowed by the user equipment and is sliced in each frequency from the third core network element.

In some embodiments, the PCF may send a first slice frequency performance prediction request to the NWDAF to request the NWDAF to predict service experiences of each slice in the Allowed S-nsai of the UE at different frequencies, obtain service experience prediction information of each slice in the Allowed S-nsai of the UE at different frequencies, and return the obtained service experience prediction information of each slice in the Allowed S-nsai of the UE to the PCF.

In an exemplary embodiment, acquiring network analysis information of a slice in the allowed S-nsai of the user equipment may further include: and acquiring service experience prediction information of the S-NSSAI slice allowed by the user equipment under each frequency from the second core network element. The second core network element may be configured to send a second slice frequency representation prediction request to a third core network element, so as to request the third core network element to predict service experiences of slices in the allowed S-nsai of the user equipment under different frequencies, obtain service experience prediction information of slices in the allowed S-nsai of the user equipment under each frequency, and receive returned service experience prediction information of slices in the allowed S-nsai of the user equipment under each frequency from the third core network element.

In some embodiments, the AMF may send a second slice frequency representation prediction request to the NWDAF to request the NWDAF to predict service experiences of each slice in the Allowed S-nsai of the UE at different frequencies, obtain service experience prediction information of each slice in the Allowed S-nsai of the UE at different frequencies, the NWDAF returns the obtained service experience prediction information of each slice in the Allowed S-nsai of the UE at different frequencies to the AMF, and the AMF forwards the obtained service experience prediction information of each slice in the Allowed S-nsai of the UE at different frequencies to the PCF for the PCF to determine the target RFSP index.

In an exemplary embodiment, the network analysis information may include service experience statistics of the S-nsai slice allowed by the ue in each access mode. Wherein, based on the network analysis information of the slice, determining a target access mode for the user equipment may include: and determining the target access mode for the user equipment based on the service experience statistical information of the S-NSSAI in the allowed S-NSSAI of the user equipment.

In some embodiments, instead of acquiring the usage preference statistics and the usage preference prediction information of each slice in the Allowed S-nsai of the UE, determining the target slice at a specific time and a specific location based on the acquired usage preference statistics or the usage preference prediction information, and then acquiring the service experience statistics of the target slice in different access modes, the PCF may directly acquire the service experience statistics of each slice in the Allowed S-nsai of the UE in different access modes, and then determine the target access mode based on the service experience statistics of each slice in the Allowed S-nsai of the UE in different access modes.

For example, if it has been determined that the UE is currently using a slice, the service experience statistics information of the UE currently using the slice in different access modes may be obtained by searching the service experience statistics information of each slice in the Allowed S-nsai of the UE in different access modes, and then the access mode with the best service experience statistics information is selected as the target access mode of the UE currently using the slice.

For another example, a slice corresponding to the optimal service experience statistics information may be determined from service experience statistics information of each slice in the Allowed S-nsai of the UE in different access manners as a target slice in a specific time and a specific position, and the access manner corresponding to the optimal service experience statistics information is used as a target access manner of the target slice.

In an exemplary embodiment, acquiring network analysis information of a slice in the allowed S-nsai of the user equipment may further include: sending a first slice access mode performance statistics request to a third core network element to request the third core network element to count service experiences of the slices in the allowed S-NSSAI of the user equipment in different access modes, and obtaining service experience statistics information of the slices in the allowed S-NSSAI of the user equipment in each access mode; and receiving returned service experience statistical information of the S-NSSAI in the permission of the user equipment in each access mode from the third core network element.

In some embodiments, the PCF may send a first slice access manner performance statistics request to the NWDAF to request the NWDAF to make statistics on service experiences of each slice in the Allowed S-nsai of the UE in different access manners, obtain service experience statistics information of each slice in the Allowed S-nsai of the UE in different access manners, and return the obtained service experience statistics information of each slice in the Allowed S-nsai of the UE in different access manners to the PCF.

In some embodiments, the first slice access mode performance statistics request and the first slice frequency performance statistics request may be one request message, that is, in the same request message, the NWDAF is simultaneously requested to make statistics on service experiences of each slice in the Allowed S-nsai of the UE under different frequencies and different access modes. In other embodiments, the first slice access mode performance statistics request and the first slice frequency performance statistics request may be two request messages, which is not limited in this disclosure.

In an exemplary embodiment, acquiring network analysis information of a slice in the allowed S-nsai of the user equipment may further include: and acquiring service experience statistical information of the slice in the allowed S-NSSAI of the user equipment in each access mode from the second core network element. The second core network element may be configured to send a second slice access manner performance statistics request to a third core network element, so as to request the third core network element to perform statistics on service experiences of slices in allowed S-nsais of the user equipment in different access manners, obtain service experience statistics information of slices in allowed S-nsais of the user equipment in each access manner, and receive returned service experience statistics information of slices in allowed S-nsais of the user equipment in each access manner from the third core network element.

In some embodiments, the AMF may send a second slice access mode performance statistics request to the NWDAF to request the NWDAF to perform statistics on service experiences of each slice in the Allowed S-nsai of the UE in different access modes, obtain service experience statistics information of each slice in the Allowed S-nsai of the UE in different access modes, return the obtained service experience statistics information of each slice in the Allowed S-nsai of the UE in different access modes to the AMF, and forward the obtained service experience statistics information of each slice in the Allowed S-nsai of the UE in different access modes to the PCF for the PCF to determine the target access mode.

In some embodiments, the second slice access mode performance statistics request and the second slice frequency performance statistics request may be one request message, that is, in the same request message, the NWDAF is simultaneously requested to make statistics on service experiences of each slice in the Allowed S-nsai of the UE under different frequencies and different access modes. In other embodiments, the second slice access mode performance statistics request and the second slice frequency performance statistics request may be two request messages, which is not limited in this disclosure.

In an exemplary embodiment, the network analysis information may include service experience prediction information of the S-nsai slice allowed by the user equipment in each access mode. Wherein, based on the network analysis information of the slice, determining a target access mode for the user equipment may include: and determining the target access mode for the user equipment based on the service experience prediction information of the S-NSSAI in the allowed S-NSSAI of the user equipment under each access mode.

In some embodiments, instead of acquiring the usage preference statistics and the usage preference prediction information of each slice in the Allowed S-nsai of the UE, determining the target slice at a specific time and a specific location based on the acquired usage preference statistics or the usage preference prediction information, and then acquiring the service experience prediction information of the target slice in different access modes, the PCF may directly acquire the service experience prediction information of each slice in the Allowed S-nsai of the UE in different access modes, and then determine the target access mode based on the service experience prediction information of each slice in the Allowed S-nsai of the UE in different access modes.

For example, if it has been determined that the UE is currently using a slice, the service experience prediction information of the UE in different access modes of the slice currently being used by the UE may be obtained by searching from the service experience prediction information of each slice in the Allowed S-nsai of the UE, and then the access mode with the optimal service experience prediction information is selected as the target access mode of the slice currently being used by the UE.

For another example, a slice corresponding to the optimal service experience prediction information may be determined from service experience prediction information of each slice in the Allowed S-nsai of the UE in different access manners as a target slice in a specific time and a specific position, and the access manner corresponding to the optimal service experience prediction information may be used as a target access manner of the target slice.

In an exemplary embodiment, acquiring network analysis information of a slice in the allowed S-nsai of the user equipment may further include: sending a first slice access mode performance prediction request to a third core network element to request the third core network element to predict service experience of the slice in the allowed S-NSSAI of the user equipment in different access modes, and obtaining service experience prediction information of the slice in the allowed S-NSSAI of the user equipment in each access mode; and receiving returned service experience prediction information of the S-NSSAI in the permission of the user equipment in each access mode from the third core network element.

In some embodiments, the PCF may send a first slice access mode performance prediction request to the NWDAF to request the NWDAF to predict service experiences of each slice in the Allowed S-nsai of the UE in different access modes, obtain service experience prediction information of each slice in the Allowed S-nsai of the UE in different access modes, and return the obtained service experience prediction information of each slice in the Allowed S-nsai of the UE in different access modes to the PCF.

In some embodiments, the first slice access mode performance prediction request and the first slice frequency performance prediction request may be one request message, that is, in the same request message, and request the NWDAF to predict service experiences of each slice in the Allowed S-nsai of the UE in different frequencies and different access modes at the same time. In other embodiments, the first slice access mode performance prediction request and the first slice frequency performance prediction request may be two request messages, which is not limited in this disclosure.

In an exemplary embodiment, acquiring network analysis information of a slice in the allowed S-nsai of the user equipment may further include: and acquiring service experience prediction information of the S-NSSAI slice allowed by the user equipment in each access mode from the second core network element. The second core network element may be configured to send a second slice access mode performance prediction request to a third core network element, so as to request the third core network element to predict service experiences of slices in allowed S-nsais of the user equipment in different access modes, obtain service experience prediction information of slices in allowed S-nsais of the user equipment in each access mode, and receive returned service experience prediction information of slices in allowed S-nsais of the user equipment in each access mode from the third core network element.

In some embodiments, the AMF may send a second slice access mode performance prediction request to the NWDAF to request the NWDAF to predict service experiences of each slice in the Allowed S-nsai of the UE in different access modes, obtain service experience prediction information of each slice in the Allowed S-nsai of the UE in different access modes, return the obtained service experience prediction information of each slice in the Allowed S-nsai of the UE in different access modes to the AMF, and forward the obtained service experience prediction information of each slice in the Allowed S-nsai of the UE in different access modes to the PCF for the PCF to determine the target access mode.

In some embodiments, the second slice access mode performance prediction request and the second slice frequency performance prediction request may be one request message, that is, in the same request message, and request the NWDAF to predict service experiences of each slice in the Allowed S-NSSAI of the UE in different frequencies and different access modes at the same time. In other embodiments, the second slice access mode performance prediction request and the second slice frequency performance prediction request may be two request messages, which is not limited in this disclosure.

In S230, the target radio frequency selection priority RFSP index and/or the target access mode is sent to the second core network element.

In the embodiment of the present disclosure, the second core network element may be an AMF (Access and Mobility Management Function ), but the present disclosure is not limited thereto.

Wherein the second core network element is operable to: if the target RFSP index is included, the target RFSP index is sent to a base station, and the base station is used for selecting a target cell for a target slice of the user equipment according to the target RFSP index; and if the target access mode is included, the target access mode is sent to the user equipment, and the user equipment is used for accessing the target slice of the user equipment according to the target access mode.

The method for assisting cell/access mode selection of the core network for slicing provided by the embodiment of the disclosure can be used for solving the problem that the reference information of the cell or access mode for selecting the best service experience for slicing is lacking in the network element of the current core network, such as PCF.

The embodiment of the disclosure provides a method for selecting a core network assisted cell/access mode for slicing, and aims at solving the problem that a core network lacks reference information for assisting in selecting the frequency or access mode of optimal service experience for slicing in the current standard, and provides a method for carrying out statistics or prediction analysis on service experience obtained when a user uses slicing in the network and a corresponding cell frequency or access mode by utilizing NWAF, so as to select a target RFSP Index or a target Access Type for PCF, provide a dynamic and reliable reference basis, and realize the selection of a wireless frequency/access mode assisted by the core network.

In one aspect, the method provided by the embodiments of the present disclosure increases the analysis of user slice usage preferences at NWDAF. By means of information such as specific time, specific place (specific location), user portrayal, usage history (which may be a slice history used by the user, application (or application type) used by the user), device type (user device type), etc., it is possible to predict when, where and what specific slice is used by the user (i.e. to determine a target slice for a specific time and specific location). The analysis result of NWDAF may be fed back to a core network element (e.g. PCF) or OAM (Operation Administration and Maintenance), and the core network may be allowed to pre-allocate resources for the target slice (where pre-allocating resources refers to determining a target RFSP Index and/or a target access mode of the target slice, where RFSP Index may be used to indicate an access mode and a frequency), so as to prepare for the user to quickly access and use the target slice.

On the other hand, in the NWDAF analysis of the slice service experience, the frequency is increased, and the access mode input information (non-3 GPP (3 rd Generation Partnership Project, third generation partnership project)) is increased, so as to obtain statistical data or predictive analysis of the performance of a specified slice (for example, a target slice or a slice being used by the UE, or each slice in the Allowed S-nsai of the UE) under different frequencies and different access modes. The output result is fed back to the policy decision network element of the core network, such as PCF. Then, the policy network element PCF may select the most suitable RFSP Index (i.e., as a target RFSP Index) to the radio base station or the most suitable Access Type (i.e., as a target Access mode) to the UE for the slice being used by the user or the slice to be used (target slice) through the analysis result of the NWDAF on the user slice usage preference and other information; or, the policy network element PCF may select the most suitable RFSP Index for the slice being used by the user or the slice to be used to the radio base station, or the most suitable Access Type to the UE, through the analysis result of the NWDAF on the slice service experience and other information; or, the policy network element PCF may select the most suitable RFSP Index for the slice that is being used or will be used by the user to the radio base station or the most suitable Access Type to the UE by combining the analysis result of the NWDAF on the user slice usage preference and the analysis result of the NWDAF on the slice service experience and other information, so as to realize the selection of the core network auxiliary cell and the Access mode.

In the disclosed embodiments, the PCF may make historical statistics or predictions based on NWDAF which slices are most likely to be used at a particular location at a particular time as the slices that the user is about to use.

For example, NWDAF may count historical usage information for all UEs in the UE or group of UEs (each UE used a certain slice at a certain time, a certain place), resulting in each UE favoring a certain slice at a certain time, a certain place, e.g., user a always uses slice a at a certain building at three afternoon, so if today's three afternoon user a is in the building, slice a is taken as the slice that user a will use.

For another example, the NWDAF may train an AI model according to the above history usage information, and after acquiring the specific location of the UE at the specific time, input the specific time and the specific location of the UE into the AI model, and predict and output the slice most likely to be used by the UE at the specific time and the specific location as the slice to be used by the UE.

In the embodiment of the disclosure, the PCF may request statistics of history data from the NWDAF to obtain what kind of RFSP Index is the best experience for the slice, and take the RFSP Index as the target RFSP Index. In other embodiments, the operator may have a specific setting to enable the slice to acquire better radio resources at a specific frequency, where the information may be preset in the PCF, and the target RFSP Index corresponding to the target slice may be determined without sending a request to the NWDAF.

The method provided by the embodiments of the present disclosure is illustrated in the following in connection with fig. 3, but the present disclosure is not limited thereto.

As shown in fig. 3, the method mainly comprises the following steps:

s1, the UE sends a user registration request to the AMF, and the requested S-NSSAI (S) information is carried.

S2, the AMF receives a user registration request sent by the UE and determines an Allowed S-NSSAI according to subscription information of the user.

Optionally, S3, the AMF/PCF sends a request for statistical/predictive analysis of the usage preference of the slices in the Allowed S-nsai of the UE to the NWDAF, resulting in which slices are most likely to be used by the UE at a specific location at a specific time.

S3 may include optional S31 and S32.

S31, the AMF requests the NWDAF for the usage preference statistics/prediction analysis of the slice in the Allowed S-nsai, i.e. the AMF sends the NWDAF a second slice usage preference statistics request, or the AMF sends the NWDAF a second slice usage preference prediction request.

S32, the PCF requests the NWDAF for the usage preference statistics/prediction analysis of the slices in the Allowed S-NSSAI, i.e. the PCF sends the NWDAF a first slice usage preference statistics request, or the AMF sends the NWDAF a first slice usage preference prediction request.

S4, a decision network element, such as an AMF/PCF, sends a request to an NWDAF, and statistical data or predictive analysis of the most likely used slices (i.e. target slices) obtained in the Allowed S-NSSAI or in S3 are performed at different frequencies.

It should be noted that, if S4 is to obtain statistical data or predictive analysis of the most likely used slice expressed at different frequencies based on the most likely used slice obtained in S3, steps S3 and S4 are both performed, and S3 is performed first, and then S4 is performed. If S4 is that the AMF/PCF sends a request to the NWDAF, the statistical data or the predictive analysis of the performance of each slice in the Allowed S-NSSAI under different frequencies may be performed S3, or S3 may not be performed, and when S3 is performed, the order of execution between S3 and S4 is not limited, that is, S3 and S4 may be performed simultaneously, or S4 may be performed first and S3 may be performed first, or S3 may be performed first and S4 may be performed second.

S4 may include S41 and S42.

S41, the AMF requests statistical data/prediction analysis of the slice most likely to be used in the Allowed S-nsai or in S3 to the NWDAF to be performed at different frequencies, i.e. the AMF sends a second target slice frequency performance statistical request or a second target slice frequency performance prediction request or a second slice frequency performance statistical request or a second slice frequency performance prediction request to the NWDAF.

S42, the PCF requests from the NWDAF the statistical data/prediction analysis of the performance of the slice most likely to be used in the Allowed S-nsai or in S3 at different frequencies, i.e. the PCF sends to the NWDAF the first target slice frequency performance statistical request or the first target slice frequency performance prediction request or the first slice frequency performance statistical request or the first slice frequency performance prediction request.

In the embodiment of the present disclosure, transmitting the slice most likely to be used in the Allowed S-nsai or in step 3 to NWDAF means:

if the decision network element, i.e. PCF, collects the analysis of all the Allowed access slices, i.e. PCF sends a request to NWDAF, which requests the NWDAF to perform a statistical or predictive analysis of the performance at different frequencies for each slice in the Allowed S-nsai of the UE, in case the UE first accesses or does not need to know the specific application the user will use, then the NWDAF obtains the most suitable RFSP Index and access pattern for each slice in the Allowed S-nsai of the UE. Or,

in the case of a slice that the PCF uses for a particular application/particular session, the PCF may request only the analysis of that slice, i.e., the PCF sends a request to the NWDAF that the NWDAF performs statistical or predictive analysis of the performance at different frequencies for the slice most likely to be used by the UE, so that the NWDAF obtains the RFSP Index and access pattern that are most suitable for the slice most likely to be used by the UE.

S5, the decision network element, such as PCF, selects an appropriate RFSP Index or Access Type for the UE according to the analysis result obtained in S3 and/or S4 and other references (which may be some preset information in the PCF, such as the specific radio band resources that the operator arranges for the specific slice).

I.e., PCF selects the appropriate RFSP Index or Access Type for the UE based on slice priority, NWDAF provided slice usage prediction, frequency analysis, etc. The slice priority may be determined based on the analysis result obtained in S3, i.e. the more likely the UE uses the higher the priority of the slice at a particular location at a particular time.

S6, the PCF forwards the selected RFSP Index or URSP (Access Type) to the radio side by the AMF.

S7a, if the PCF modifies the RFSP Index (i.e. the target RFSP Index) in S5, the PCF sends the modified RFSP Index to the radio base station gNB through AM (Access and Mobility, access and mobile) Policy update, and the base station selects a suitable cell for the slice with the highest priority according to the target RFSP Index.

And S7b, if the PCF modifies the Access Type (namely the target Access mode) in S5, the modified Access Type is sent to the user side through a URSP (UE Route Selection Policy) by UE Policy update, and the UE selects a more appropriate Access mode, namely the URSP update assists the UE in selecting a more appropriate Access mode.

In fig. 3, the user online registration is taken as an example, and steps not related to the present disclosure are omitted. S3, S4 can occur at any time after the user is successfully brought online; the sequence of the two steps can be interchanged; the two analysis requests may be initiated by an AMF or by a PCF.

Examples of inputs and outputs of NWDAF analysis proposed by embodiments of the present disclosure are shown in table 1 below, which is not exhaustive:

TABLE 1

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The confidence of the predictions in Table 1, if historical statistics, can be understood as the occupancy proportion; in the case of predictive analysis, this can be understood as probability.

In the current standard, users can use services provided by slices through different frequencies of 5G or different access modes. But how to select the most suitable frequency or access mode from the slicing point of view, there is no clear judgment standard and solution. According to the method provided by the embodiment of the disclosure, the analysis of the preference of the user to the use of the slice is generated through the NWDAF, and the analysis of the user experience of the slice under different frequencies and access modes is generated, so that the decision network element can provide auxiliary references for the selection of the frequency (cell) or the access mode of the user according to the output analysis of the NWDAF and the requirements of the slice, namely, the service experience obtained by using the same slice at different times, different places and different frequency/access modes through a single user or a plurality of users is used as auxiliary references for the selection of the cell or the access mode of the user, and special selection standards do not need to be predefined or allocated for different slices, so that the deployment and maintenance of operators in an actual network are easy. The method has the advantages that the analysis of the behaviors of using slices by the relevant users and the analysis of the using experience of the slices under different frequencies/accesses are introduced in the NWDAF, so that the blank in the existing standard is filled.

Possible application scenarios in the future of the embodiments of the present disclosure:

1. under different wireless access modes or frequency bands, the slice use experience obtained by the user may be different, and the user is guided to the access mode or frequency band with the optimal slice experience through the service experience as a guide.

2. The operator may also reserve more specific radio resources to specific slicing users, and direct the users to the reserved radio resources through the service experience as a guide.

If a preconfigured method is used to bind specific radio resources and slices, great inconvenience is brought to the deployment and operation of operators. According to the method provided by the embodiment of the disclosure, on one hand, by means of the big data analysis capability of the NWDAF in the core network, the flexibility of the network is greatly improved by taking the slice service experience as a selection reference. On the other hand, the embodiment of the disclosure is beneficial to optimizing a cell/access mode selection scheme, reasonably utilizes wireless resources and provides better slicing service.

It should also be understood that the above is only intended to assist those skilled in the art in better understanding the embodiments of the present disclosure, and is not intended to limit the scope of the embodiments of the present disclosure. It will be apparent to those skilled in the art from the foregoing examples that various equivalent modifications or variations can be made, for example, some steps of the methods described above may not be necessary, or some steps may be newly added, etc. Or a combination of any two or more of the above. Such modifications, variations, or combinations thereof are also within the scope of the embodiments of the present disclosure.

It should also be understood that the foregoing description of the embodiments of the present disclosure focuses on highlighting differences between the various embodiments and that the same or similar elements not mentioned may be referred to each other and are not repeated here for brevity.

It should also be understood that the sequence numbers of the above processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present disclosure.

It should also be understood that, in the embodiments of the present disclosure, the "preset" and "predefined" may be implemented by pre-storing corresponding codes, tables, or other manners that may be used to indicate relevant information in devices (including, for example, terminals and network devices), and the present disclosure is not limited to a specific implementation manner thereof.

It is also to be understood that in the various embodiments of the disclosure, terms and/or descriptions of the various embodiments are consistent and may be referenced to one another in the absence of a particular explanation or logic conflict, and that the features of the various embodiments may be combined to form new embodiments in accordance with their inherent logic relationships.

Examples of methods provided by the present disclosure for core network assisted cell/access mode selection for slicing are described above in detail. It will be appreciated that the first core network element and the third core network element comprise corresponding hardware structures and/or software modules for performing the respective functions in order to achieve the above-mentioned functions. Those of skill in the art will readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.

Further, as shown in fig. 5, an embodiment of the present disclosure further provides a first core network element 500, which may include: a first receiving unit 510, a first processing unit 520 and a first transmitting unit 530.

The first receiving unit 510 may be configured to obtain network analysis information of a slice in the allowed S-nsai of the user equipment.

The first processing unit 520 may be configured to determine a target radio frequency selection priority RFSP index and/or a target access mode for the user equipment based on the network analysis information of the slice.

The first sending unit 530 may be configured to send the target radio frequency selection priority RFSP index and/or the target access manner to the second core network element.

Other content of the first core network element provided by the embodiments of the present disclosure may refer to the other embodiments described above.

Further, as shown in fig. 6, an embodiment of the present disclosure further provides a third core network element, which may include: a second receiving unit 610, a second processing unit 620, and a second transmitting unit 630.

The second receiving unit 610 may be configured to receive a network analysis request from the first core network element or the second core network element.

The second processing unit 620 may be configured to generate network analysis information of the slice in the allowed S-nsai of the user equipment in response to the network analysis request.

The second sending unit 630 may be configured to transmit network analysis information of the slice in the allowed S-nsai of the user equipment to the first core network element.

The first core network element may be configured to: and determining a target radio frequency selection priority RFSP index and/or a target access mode for the user equipment based on the network analysis information of the slice, and transmitting the target radio frequency selection priority RFSP index and/or the target access mode to a second core network element.

The second core network element may be configured to: if the target RFSP index is included, the target RFSP index is sent to a base station, and the base station is used for selecting a target cell for a target slice of the user equipment according to the target RFSP index; and if the target access mode is included, the target access mode is sent to the user equipment, and the user equipment is used for accessing the target slice of the user equipment according to the target access mode.

Other content of the third core network element provided by the embodiments of the present disclosure may refer to the other embodiments described above.

The communication device 700 (which may be the first core network element and/or the third core network element) as shown in fig. 7 may comprise a processor 710, a memory 720 and a transceiver 730.

Further, the embodiment of the disclosure also provides a wireless communication system, which comprises a first core network element and a third core network element.

It can be clearly understood by those skilled in the art that, when the steps executed by the first core network element and the third core network element and the corresponding beneficial effects are referred to the relevant descriptions of the first core network element and the third core network element in the above method, the details are not repeated here for brevity.

It should be understood that the above division of the units is only a functional division, and other division methods are possible in practical implementation.

The embodiment of the disclosure also provides a processing device, which comprises a processor and an interface; the processor is configured to perform the method for core network assisted cell/access mode selection for slices in any of the method embodiments described above.

It should be understood that the processing means may be a chip. For example, the processing device may be a Field programmable gate array (Field-Programmable Gate Array, FPGA), an application specific integrated Chip (Application Specific Integrated Circuit, ASIC), a System on Chip (SoC), a central processing unit (Central Processor Unit, CPU), a network processor (Network Processor, NP), a digital signal processing circuit (Digital Signal Processor, DSP), a microcontroller (Micro Controller Unit, MCU), a programmable controller (Programmable Logic Device, PLD) or other integrated Chip.

In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or by instructions in the form of software. The steps of a method disclosed in connection with the embodiments of the present disclosure may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in a processor for execution. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method. To avoid repetition, a detailed description is not provided herein.

It should be noted that the processor in the embodiments of the present disclosure may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the above method embodiments may be implemented by integrated logic circuits of hardware in a processor or instructions in software form. The processor may be a general purpose processor, a digital signal processor (digitalsignal processor, DSP), an application specific integrated circuit (application specific integrated crcuit, ASIC), an off-the-shelf programmable gate array (field programmable gate array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The various methods, steps and logic blocks of the disclosure in the embodiments of the disclosure may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the embodiments of the present disclosure may be embodied directly in hardware, in a decoded processor, or in a combination of hardware and software modules in a decoded processor. The software modules may be located in a random access memory, flash memory, read only memory, programmable read only memory, or electrically erasable programmable memory, registers, etc. as well known in the art. The storage medium is located in a memory, and the processor reads the information in the memory and, in combination with its hardware, performs the steps of the above method.

The disclosed embodiments also provide a computer readable medium having stored thereon a computer program which, when executed by a computer, implements the method for core network assisted cell/access mode selection for slices in any of the method embodiments described above.

The disclosed embodiments also provide a computer program product which when executed by a computer implements the method for core network assisted cell/access mode selection for slicing in any of the method embodiments described above.

The embodiment of the disclosure also provides a system chip, which comprises: a processing unit, which may be, for example, a processor, and a communication unit, which may be, for example, an input/output interface, pins or circuitry, etc. The processing unit may execute computer instructions to cause the chips in the terminal, the primary node, and the secondary node to execute any of the methods for core network assisted cell/access mode selection for slicing provided in the embodiments of the present disclosure.

Optionally, the computer instructions are stored in a storage unit.

Alternatively, the storage unit is a storage unit in the chip, such as a register, a cache, etc., and the storage unit may also be a storage unit in the terminal located outside the chip, such as a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (random access memory, RAM), etc. The processor mentioned in any of the above may be a CPU, microprocessor, ASIC, or one or more integrated circuits for controlling the program execution of the method of core network assisted cell/access mode selection for slicing described above. The processing unit and the storage unit may be decoupled and respectively disposed on different physical devices, and the respective functions of the processing unit and the storage unit are implemented by wired or wireless connection, so as to support the system chip to implement the various functions in the foregoing embodiments. Alternatively, the processing unit and the memory may be coupled to the same device.

In the above embodiments, it may be implemented in whole or in part 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 the computer instructions are loaded and executed on a computer, the processes or functions in accordance with embodiments of the present disclosure are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a high-density digital video disc (digital video disc, DVD)), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.

In the several embodiments provided in the present disclosure, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown 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 may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present disclosure may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

Various objects such as various messages/information/devices/network elements/systems/devices/actions/operations/processes/concepts may be named in the present disclosure, and it should be understood that these specific names do not constitute limitations on related objects, and that the named names may be changed according to the scenario, context, or usage habit, etc., and understanding of technical meaning of technical terms in the present disclosure should be mainly determined from functions and technical effects that are embodied/performed in the technical solution.

In various embodiments of the disclosure, where no special description or logic conflict exists, terms and/or descriptions between the various embodiments are consistent and may reference each other, and features of the various embodiments may be combined to form new embodiments in accordance with their inherent logic relationships.

The foregoing is merely specific embodiments of the disclosure, but the protection scope of the disclosure is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the disclosure, and it is intended to cover the scope of the disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.

Claims

1. A method of core network assisted cell/access mode selection for slicing, the method being performed by a first core network element, the method comprising:

acquiring network analysis information of a slice in the allowed single network slice selection auxiliary information S-NSSAI of the user equipment;

determining a target radio frequency selection priority RFSP index and/or a target access mode for the user equipment based on the network analysis information of the slice;

transmitting the target wireless frequency selection priority RFSP index and/or the target access mode to a second core network element;

wherein the second core network element is configured to: if the target RFSP index is included, the target RFSP index is sent to a base station, and the base station is used for selecting a target cell for a target slice of the user equipment according to the target RFSP index; and if the target access mode is included, the target access mode is sent to the user equipment, and the user equipment is used for accessing the target slice of the user equipment according to the target access mode.

2. The method of claim 1, wherein the network analysis information comprises statistical information of usage preferences of the allowed S-nsai slices of the user equipment or predictive information of usage preferences of the allowed S-nsai slices of the user equipment;

The method for acquiring the network analysis information of the slice in the S-NSSAI allowed by the user equipment comprises the following steps:

sending a first slice use preference statistics request to a third core network element to request the third core network element to count the use preference information of the slice in the allowed S-NSSAI of the user equipment, and obtaining the use preference statistics information of the slice in the allowed S-NSSAI of the user equipment; or sending a first slice use preference prediction request to a third core network element to request the third core network element to predict the use preference information of the slice in the allowed S-nsai of the user equipment, and obtaining the use preference prediction information of the slice in the allowed S-nsai of the user equipment;

and receiving returned statistical information of the usage preference of the slice in the allowed S-NSSAI of the user equipment or the usage preference prediction information of the slice in the allowed S-NSSAI of the user equipment from the third core network element.

3. The method of claim 1, wherein the network analysis information comprises statistical information of usage preferences of the allowed S-nsai slices of the user equipment or predictive information of usage preferences of the allowed S-nsai slices of the user equipment;

acquiring the statistical information of the usage preference of the slice in the allowed S-NSSAI of the user equipment from the second core network element; or acquiring the use preference prediction information of the slice in the allowed S-NSSAI of the user equipment from the second core network element;

the second core network element is configured to send a second slice usage preference statistics request to a third core network element, so as to request the third core network element to perform statistics on usage preference information of slices in allowed S-nsais of the user equipment, obtain usage preference statistics information of slices in allowed S-nsais of the user equipment, and receive returned usage preference statistics information of slices in allowed S-nsais of the user equipment from the third core network element; or the second core network element is configured to send a second slice usage preference prediction request to a third core network element, so as to request the third core network element to predict the usage preference information of the slice in the allowed S-nsai of the user equipment, count the usage preference prediction information of the slice in the allowed S-nsai of the user equipment, obtain the usage preference prediction information of the slice in the allowed S-nsai of the user equipment, and receive the returned usage preference prediction information of the slice in the allowed S-nsai of the user equipment from the third core network element.

4. A method according to claim 2 or 3, characterized in that the usage preference statistics of the slices in the allowed S-nsai of the user equipment include the occupancy proportion of the slices historically used by the user equipment at different locations and at different times.

5. A method according to claim 2 or 3, characterized in that determining a target radio frequency selection priority RFSP index for the user equipment based on the network analysis information of the slice comprises:

determining a target slice of the user equipment at a specific time and a specific location based on the usage preference statistics or the usage preference prediction information of the slice;

and determining the target RFSP index for the user equipment according to target radio frequency band resources preset for the target slice.

6. A method according to claim 2 or 3, wherein the network analysis information further comprises service experience statistics of the target slice at each frequency;

wherein determining a target radio frequency selection priority RFSP index for the user equipment based on the network analysis information of the slice comprises:

And determining the target RFSP index for the user equipment based on the service experience statistical information of the target slice under each frequency.

7. The method of claim 6 wherein obtaining network analysis information for the slice in the allowed S-nsai for the user equipment further includes:

sending a first target slice frequency performance statistics request to the third core network element to request the third core network element to carry out statistics on service experiences of the target slice under different frequencies, and obtaining service experience statistics information of the target slice under each frequency;

and receiving returned service experience statistical information of the target slice under each frequency from the third core network element.

8. The method of claim 6 wherein obtaining network analysis information for the slice in the allowed S-nsai for the user equipment further includes:

acquiring service experience statistical information of the target slice under each frequency from the second core network element;

the second core network element is configured to send a second target slice frequency performance statistics request to a third core network element, so as to request the third core network element to make statistics on service experiences of the target slice under different frequencies, obtain service experience statistics information of the target slice under each frequency, and receive returned service experience statistics information of the target slice under each frequency from the third core network element.

9. A method according to claim 2 or 3, wherein the network analysis information further comprises service experience prediction information for the target slice at each frequency;

and determining the target RFSP index for the user equipment based on the service experience prediction information of the target slice under each frequency.

10. The method of claim 9, wherein obtaining network analysis information for the slice in the allowed S-nsai for the user equipment further includes:

sending a first target slice frequency performance prediction request to the third core network element to request the third core network element to predict service experience of the target slice under different frequencies, and obtaining service experience prediction information of the target slice under each frequency;

and receiving returned service experience prediction information of the target slice under each frequency from the third core network element.

11. The method of claim 9, wherein obtaining network analysis information for the slice in the allowed S-nsai for the user equipment further includes:

acquiring service experience prediction information of the target slice under each frequency from the second core network element;

the second core network element is configured to send a second target slice frequency representation prediction request to a third core network element, so as to request the third core network element to predict service experiences of the target slice under different frequencies, obtain service experience prediction information of the target slice under each frequency, and receive returned service experience prediction information of the target slice under each frequency from the third core network element.

12. A method according to claim 2 or 3, wherein the network analysis information further comprises service experience statistics of the target slice in each access mode;

wherein determining a target access mode for the user equipment based on the sliced network analysis information comprises:

And determining the target access mode for the user equipment based on the service experience statistical information of the target slice in each access mode.

13. The method of claim 12, wherein obtaining network analysis information for the slice in the allowed S-nsai for the user equipment further includes:

sending a first target slice access mode performance statistics request to the third core network element to request the third core network element to carry out statistics on service experience of the target slice in different access modes, and obtaining service experience statistics information of the target slice in each access mode;

and receiving returned service experience statistical information of the target slice in each access mode from the third core network element.

14. The method of claim 12, wherein obtaining network analysis information for the slice in the allowed S-nsai for the user equipment further includes:

acquiring service experience statistical information of the target slice in each access mode from the second core network element;

the second core network element is configured to send a second target slice access mode performance statistics request to a third core network element, so as to request the third core network element to perform statistics on service experiences of the target slice in different access modes, obtain service experience statistics information of the target slice in each access mode, and receive returned service experience statistics information of the target slice in each access mode from the third core network element.

15. A method according to claim 2 or 3, wherein the network analysis information further comprises service experience prediction information of the target slice in each access mode;

and determining the target access mode for the user equipment based on the service experience prediction information of the target slice in each access mode.

16. The method of claim 15, wherein obtaining network analysis information for the slice in the allowed S-nsai for the user equipment further includes:

sending a first target slice access mode performance prediction request to the third core network element to request the third core network element to predict service experience of the target slice in different access modes, and obtaining service experience prediction information of the target slice in each access mode;

17. The method of claim 16, wherein obtaining network analysis information for the slice in the allowed S-nsai for the user equipment further includes:

acquiring service experience prediction information of the target slice in each access mode from the second core network element;

the second core network element is configured to send a second target slice access mode performance prediction request to a third core network element, so as to request the third core network element to predict service experiences of the target slice in different access modes, obtain service experience prediction information of the target slice in each access mode, and receive returned service experience prediction information of the target slice in each access mode from the third core network element.

18. A method according to any of claims 1 to 3, characterized in that the network analysis information comprises service experience statistics for the allowed S-nsai mid-slices of the user equipment at each frequency;

and determining the target RFSP index for the user equipment based on the service experience statistical information of the S-NSSAI in the allowed S-NSSAI of the user equipment.

19. The method of claim 18, wherein obtaining network analysis information for the slice in the allowed S-nsai for the user equipment further includes:

sending a first slice frequency performance statistics request to a third core network element to request the third core network element to carry out statistics on service experience of slices in allowed S-NSSAI of the user equipment under different frequencies, and obtaining service experience statistics information of the slices in the allowed S-NSSAI of the user equipment under each frequency;

and receiving returned service experience statistical information of the S-NSSAI in the permission of the user equipment, which is sliced at each frequency, from the third core network element.

20. The method of claim 18, wherein obtaining network analysis information for the slice in the allowed S-nsai for the user equipment further includes:

acquiring service experience statistical information of the slice in the allowed S-NSSAI of the user equipment under each frequency from the second core network element;

the second core network element is configured to send a second slice frequency performance statistics request to a third core network element, so as to request the third core network element to perform statistics on service experiences of slices in allowed S-nsais of the user equipment under different frequencies, obtain service experience statistics information of slices in allowed S-nsais of the user equipment under each frequency, and receive returned service experience statistics information of slices in allowed S-nsais of the user equipment under each frequency from the third core network element.

21. A method according to any of claims 1 to 3, characterized in that the network analysis information comprises service experience prediction information for the allowed S-nsai mid-slices of the user equipment at each frequency;

and determining the target RFSP index for the user equipment based on the service experience prediction information of the S-NSSAI in the allowed S-NSSAI of the user equipment.

22. The method of claim 21 wherein obtaining network analysis information for the slice in the allowed S-nsai for the user equipment further includes:

sending a first slice frequency performance prediction request to a third core network element to request the third core network element to predict service experience of the slice in the allowed S-NSSAI of the user equipment under different frequencies, and obtaining service experience prediction information of the slice in the allowed S-NSSAI of the user equipment under each frequency;

and receiving returned service experience prediction information of the S-NSSAI which is allowed by the user equipment and is sliced in each frequency from the third core network element.

23. The method of claim 21 wherein obtaining network analysis information for the slice in the allowed S-nsai for the user equipment further includes:

acquiring service experience prediction information of the slice in the allowed S-NSSAI of the user equipment under each frequency from the second core network element;

the second core network element is configured to send a second slice frequency representation prediction request to a third core network element, so as to request the third core network element to predict service experiences of slices in the allowed S-nsai of the user equipment under different frequencies, obtain service experience prediction information of slices in the allowed S-nsai of the user equipment under each frequency, and receive returned service experience prediction information of slices in the allowed S-nsai of the user equipment under each frequency from the third core network element.

24. A method according to any of claims 1 to 3, wherein the network analysis information comprises statistics of service experiences of the allowed S-nsai slice of the user equipment in each access mode;

And determining the target access mode for the user equipment based on the service experience statistical information of the S-NSSAI in the allowed S-NSSAI of the user equipment.

25. The method of claim 24 wherein obtaining network analysis information for the slice in the allowed S-nsai for the user equipment further includes:

sending a first slice access mode performance statistics request to a third core network element to request the third core network element to count service experiences of the slices in the allowed S-NSSAI of the user equipment in different access modes, and obtaining service experience statistics information of the slices in the allowed S-NSSAI of the user equipment in each access mode;

and receiving returned service experience statistical information of the S-NSSAI in the permission of the user equipment in each access mode from the third core network element.

26. The method of claim 24 wherein obtaining network analysis information for the slice in the allowed S-nsai for the user equipment further includes:

acquiring service experience statistical information of the slice in the allowed S-NSSAI of the user equipment in each access mode from the second core network element;

The second core network element is configured to send a second slice access mode performance statistics request to a third core network element, so as to request the third core network element to perform statistics on service experiences of slices in allowed S-nsais of the user equipment in different access modes, obtain service experience statistics information of slices in allowed S-nsais of the user equipment in each access mode, and receive returned service experience statistics information of slices in allowed S-nsais of the user equipment in each access mode from the third core network element.

27. A method according to any of claims 1 to 3, wherein the network analysis information comprises service experience prediction information for the allowed S-nsai in-slice of the user equipment in each access mode;

and determining the target access mode for the user equipment based on the service experience prediction information of the S-NSSAI in the allowed S-NSSAI of the user equipment under each access mode.

28. The method of claim 27 wherein obtaining network analysis information for the slice in the allowed S-nsai for the user equipment further includes:

Sending a first slice access mode performance prediction request to a third core network element to request the third core network element to predict service experience of the slice in the allowed S-NSSAI of the user equipment in different access modes, and obtaining service experience prediction information of the slice in the allowed S-NSSAI of the user equipment in each access mode;

and receiving returned service experience prediction information of the S-NSSAI in the permission of the user equipment in each access mode from the third core network element.

29. The method of claim 27 wherein obtaining network analysis information for the slice in the allowed S-nsai for the user equipment further includes:

acquiring service experience prediction information of the S-NSSAI slice allowed by the user equipment in each access mode from the second core network element;

the second core network element is configured to send a second slice access mode performance prediction request to a third core network element, so as to request the third core network element to predict service experience of a slice in an allowed S-nsai of the user equipment in different access modes, obtain service experience prediction information of the slice in the allowed S-nsai of the user equipment in each access mode, and receive returned service experience prediction information of the slice in the allowed S-nsai of the user equipment in each access mode from the third core network element.

30. A method of core network assisted cell/access mode selection for slicing, the method being performed by a third core network element, the method comprising:

receiving a network analysis request from a first core network element or a second core network element;

responding to the network analysis request, and generating network analysis information of the slice in the S-NSSAI allowed by the user equipment;

transmitting network analysis information of the slice in the allowed S-NSSAI of the user equipment to the first core network element;

the first core network element is configured to: determining a target radio frequency selection priority RFSP index and/or a target access mode for the user equipment based on the sliced network analysis information, and transmitting the target radio frequency selection priority RFSP index and/or the target access mode to a second core network element;

the second core network element is configured to: if the target RFSP index is included, the target RFSP index is sent to a base station, and the base station is used for selecting a target cell for a target slice of the user equipment according to the target RFSP index; and if the target access mode is included, the target access mode is sent to the user equipment, and the user equipment is used for accessing the target slice of the user equipment according to the target access mode.

31. A first core network element comprising:

a first receiving unit, configured to obtain network analysis information of a slice in the allowed S-nsai of the user equipment;

the first processing unit is used for determining a target radio frequency selection priority RFSP index and/or a target access mode for the user equipment based on the network analysis information of the slice;

a first sending unit, configured to send the target radio frequency selection priority RFSP index and/or the target access mode to a second core network element;

32. A third core network element, comprising:

a second receiving unit, configured to receive a network analysis request from the first core network element or the second core network element;

The second processing unit is used for responding to the network analysis request and generating network analysis information of the slice in the allowed S-NSSAI of the user equipment;

a second sending unit, configured to transmit network analysis information of a slice in the allowed S-nsai of the user equipment to the first core network element;

33. A computer readable storage medium storing a computer program, which when executed by a communication device implements the method of any one of claims 1 to 29 or the method of claim 30.