Information processing method, network element, terminal, base station, communication system, and storage medium

Abstract

Embodiments of the present disclosure provide an information processing method, a network element, a base station, a terminal, a communication system, and a storage medium. The information processing method is executed by the network element, and comprises: determining a first operation, wherein the first operation comprises one of: switching from base-station-assisted AI positioning to UE-assisted AI positioning; switching from the UE-assisted AI positioning to the base-station-assisted AI positioning; switching from AI-based positioning to non-AI-based positioning; and switching from first-model-based AI positioning to second-model-based AI positioning.

Description

Information processing methods, network elements, terminals, base stations, communication systems, and storage media Technical Field

[0001] This disclosure relates to the field of communication technology, and in particular to an information processing method, network element, terminal, base station, communication system and storage medium. Background Technology

[0002] In the field of communication technology, location services (LCS) can be added to support location based on artificial intelligence (AI).

[0003] Summary of the Invention

[0004] The embodiments disclosed herein aim to address the problem of the inability to switch between UE-assisted AI positioning and base station-assisted AI positioning.

[0005] According to a first aspect of the present disclosure, an information processing method is proposed, executed by a first network element, comprising: determining a first operation, wherein the first operation includes one of the following: switching from base station-assisted AI positioning to user equipment (UE)-assisted AI positioning; switching from UE-assisted AI positioning to base station-assisted AI positioning; switching from AI-based positioning to non-AI-based positioning; and switching from AI positioning based on a first model to AI positioning based on a second model.

[0006] According to a second aspect of the present disclosure, an information processing method is proposed, executed by a base station, comprising: sending first indication information, wherein the first indication information is used by a first network element to determine a first operation; the first operation includes one of the following: switching from base station-assisted AI positioning to UE-assisted AI positioning; switching from UE-assisted AI positioning to base station-assisted AI positioning; switching from AI-based positioning to non-AI-based positioning; switching from AI positioning based on a first model to AI positioning based on a second model.

[0007] According to a third aspect of the present disclosure, an information processing method is proposed, executed by a terminal, comprising: sending second indication information, wherein the second indication information is used by a first network element to determine a first operation; the first operation includes one of the following: switching from base station-assisted AI positioning to UE-assisted AI positioning; switching from UE-assisted AI positioning to base station-assisted AI positioning; switching from AI-based positioning to non-AI-based positioning; switching from AI positioning based on a first model to AI positioning based on a second model.

[0008] According to a fourth aspect of the present disclosure, an information processing method is proposed, comprising: a base station sending first indication information to a first network element; a terminal sending second indication information to the first network element; the first network element determining a first operation based on the first indication information and / or the second indication information, wherein the first operation includes one of the following: switching from base station-assisted AI positioning to UE-assisted AI positioning; switching from UE-assisted AI positioning to base station-assisted AI positioning; switching from AI-based positioning to non-AI-based positioning; and switching from AI positioning based on a first model to AI positioning based on a second model.

[0009] According to a fifth aspect of the present disclosure, a first network element is provided, comprising: a first processing module configured to determine a first operation, wherein the first operation is used to indicate one of the following: switching from base station-assisted AI positioning to UE-assisted AI positioning; switching from UE-assisted AI positioning to base station-assisted AI positioning; switching from AI-based positioning to non-AI-based positioning; and switching from AI positioning based on a first model to AI positioning based on a second model.

[0010] According to a sixth aspect of the present disclosure, a base station is provided, comprising: a second transceiver module configured to transmit first indication information, wherein the first indication information is used by a first network element to determine a first operation; the first operation includes one of the following: switching from base station-assisted AI positioning to UE-assisted AI positioning; switching from UE-assisted AI positioning to base station-assisted AI positioning; switching from AI-based positioning to non-AI-based positioning; and switching from AI positioning based on a first model to AI positioning based on a second model.

[0011] According to a seventh aspect of the present disclosure, a communication device is provided, including one or more processors; wherein the communication device is configured to perform an optional implementation of the first aspect, the second aspect, the third aspect, the fourth aspect, or the first aspect, the second aspect, the third aspect, and the fourth aspect.

[0012] According to an eighth aspect of the present disclosure, a communication system is provided, comprising: a first network element, a base station, and a terminal; wherein the first network element is configured to perform a method as described in an optional implementation of the first aspect, the base station is configured to perform a method as described in an optional implementation of the second aspect, and the terminal is configured to perform a method as described in an optional implementation of the third aspect.

[0013] According to a ninth aspect of the present disclosure, a storage medium is provided that stores instructions which, when executed on a communication device, cause the communication device to perform the method described in the first aspect, second aspect, third aspect, fourth aspect, or optional implementations of the first aspect, second aspect, third aspect, and fourth aspect.

[0014] According to a tenth aspect of the present disclosure, a computer program product is provided, the computer program product including a computer program or instructions, which, when executed by a processor, implement the methods described as in the first aspect, second aspect, third aspect, fourth aspect, or optional implementations of the first aspect, second aspect, third aspect, and fourth aspect.

[0015] The embodiments disclosed herein enable switching between UE-assisted AI positioning and base station-assisted AI positioning. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this disclosure, the accompanying drawings required for the description of the embodiments are introduced below. The following drawings are only some embodiments of this disclosure and do not impose specific limitations on the protection scope of this disclosure.

[0017] Figure 1 is a schematic diagram of the structure of an information processing system according to an embodiment of the present disclosure.

[0018] Figure 2 is an interactive schematic diagram of an information processing method according to an embodiment of the present disclosure.

[0019] Figure 3 is a flowchart illustrating an information processing method according to an embodiment of the present disclosure.

[0020] Figure 4 is a flowchart illustrating an information processing method according to an embodiment of the present disclosure.

[0021] Figure 5A is a schematic flowchart illustrating an information processing method according to an embodiment of the present disclosure.

[0022] Figure 5B is a schematic flowchart illustrating an information processing method according to an embodiment of the present disclosure.

[0023] Figure 6 is an interactive schematic diagram of an information processing method according to an embodiment of the present disclosure.

[0024] Figure 7 is a schematic flowchart illustrating an information processing method according to an embodiment of the present disclosure.

[0025] Figure 8A is a schematic diagram of the structure of a terminal according to an embodiment of the present disclosure.

[0026] Figure 8B is a schematic diagram of the structure of a network device according to an embodiment of the present disclosure. [0026.1] [Correction 29.05.2024 according to Rule 91] Figure 8C is a schematic diagram of the structure of a terminal according to an embodiment of the present disclosure.

[0027] Figure 9A is a schematic diagram of the structure of a communication device provided according to an embodiment of the present disclosure.

[0028] Figure 9B is a schematic diagram of the structure of a chip provided according to an embodiment of the present disclosure. Detailed Implementation

[0029] This disclosure provides an information processing method, a network element, a terminal, a base station, a communication system, and a storage medium.

[0030] In a first aspect, embodiments of this disclosure propose an information processing method, executed by a first network element, comprising: determining a first operation, wherein the first operation includes one of the following: switching from base station-assisted AI positioning to UE-assisted AI positioning; switching from UE-assisted AI positioning to base station-assisted AI positioning; switching from AI-based positioning to non-AI-based positioning; and switching from AI positioning based on a first model to AI positioning based on a second model.

[0031] In the above embodiments, the first network element can switch from base station-assisted AI positioning to UE-assisted AI positioning, or from UE-assisted AI positioning to base station-assisted AI positioning, that is, it can switch between UE-assisted AI positioning and base station-assisted AI positioning. In this way, it can switch to UE-assisted AI positioning when the base station does not support base station-assisted AI positioning, or switch to base station-assisted AI positioning when the UE does not support UE-assisted AI positioning, thereby reducing the occurrence of positioning service interruptions and enabling continuous positioning service.

[0032] Alternatively, the first network element could be enabled to switch between AI-based and non-AI-based positioning, thus providing location services even when AI-based positioning is not supported.

[0033] Alternatively, the first network element can be made to switch from the first model of AI positioning to the second model for positioning. This allows for the use of a better-performing AI model (e.g., the second model) for positioning when the performance of the AI ​​model (e.g., the first model) is not improved, thereby improving the positioning accuracy.

[0034] In conjunction with some embodiments of the first aspect, in some embodiments, determining the first operation includes: determining a switch from base station-assisted AI positioning to UE-assisted AI positioning based on first indication information sent by the base station and / or second indication information sent by the terminal; wherein the first indication information includes a first indication, which indicates that: the capability of base station-assisted AI positioning is not supported, or the capability of supporting base station-assisted AI positioning is switched to the capability of not supporting base station-assisted AI positioning; and / or, the second indication information includes a second indication, which indicates that: the capability of UE-assisted AI positioning is supported, or the capability of not supporting UE-assisted AI positioning is switched to the capability of supporting UE-assisted AI positioning.

[0035] In the above embodiments, the base station can send a first indication message to indicate that it does not support base station-assisted AI positioning, and / or the terminal can send a second indication message to indicate that it supports UE-assisted AI positioning. This allows the system to switch to UE-assisted AI positioning when the base station does not support base station-assisted AI positioning, thereby reducing the occurrence of positioning service interruptions and improving the continuity of positioning services.

[0036] In conjunction with some embodiments of the first aspect, in some embodiments, determining the first operation includes: determining a switch from UE-assisted AI positioning to base station-assisted AI positioning based on first indication information sent by the base station and / or second indication information sent by the terminal; wherein the first indication information includes a third indication, the third indication being used to indicate: the capability to support base station-assisted AI positioning, or a switch from the capability to not support base station-assisted AI positioning to the capability to support base station-assisted AI positioning; and / or, the second indication information includes a fourth indication, the fourth indication being used to indicate: the capability to not support UE-assisted AI positioning, or a switch from the capability to support UE-assisted AI positioning to the capability to not support UE-assisted AI positioning.

[0037] In the above embodiments, the first indication information sent by the base station can indicate that the base station supports base station-assisted AI positioning, and / or the second indication information sent by the terminal can indicate that the terminal does not support UE-assisted AI positioning. This allows the system to switch to base station-assisted AI positioning when the terminal does not support terminal-assisted positioning, thereby reducing the occurrence of positioning service interruptions and improving the continuity of positioning services.

[0038] In conjunction with some embodiments of the first aspect, in some embodiments, determining a first operation includes one of the following: the AI ​​model based on base station-assisted AI positioning degrades from a first performance to a second performance, and it is determined to switch from base station-assisted AI positioning to UE-assisted AI positioning; the AI ​​model based on UE-assisted AI positioning degrades from a third performance to a fourth performance, and it is determined to switch from UE-assisted AI positioning to base station-assisted AI positioning.

[0039] In the above embodiments, the first network element can detect when the performance of the AI ​​model deteriorates during base station-assisted AI positioning, and switch from base station-assisted AI positioning to UE-assisted AI positioning, thereby ensuring efficient execution of the service. Alternatively, the first network element can detect when the positioning performance of the AI ​​model deteriorates, and switch from UE-assisted AI positioning to base station-assisted AI positioning, thereby ensuring efficient execution of the service.

[0040] In conjunction with some embodiments of the first aspect, in some embodiments, the first performance is a first positioning accuracy, the second performance is a second positioning accuracy, and the first positioning accuracy is higher than the second positioning accuracy; or, the third performance is a third positioning accuracy, the fourth performance is a fourth positioning accuracy, and the third positioning accuracy is higher than the fourth positioning accuracy.

[0041] In the above embodiments, the performance degradation of the AI ​​model can be a decrease in positioning accuracy. Therefore, when the accuracy of the AI ​​model decreases, the AI ​​positioning method can be switched between UE-assisted AI positioning and base station-assisted AI positioning, thereby improving the positioning accuracy of the AI ​​model based on AI positioning.

[0042] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes: sending a first request to a second network element, wherein the first request is used to trigger the second network element to train a first model based on AI positioning to obtain a second model, wherein the positioning accuracy of the second model is higher than that of the first model; and receiving a first response from the second network element, wherein the first response is used to instruct the second model.

[0043] In the above embodiments, even when the performance of the AI ​​model for AI positioning degrades, the second network element can still be triggered to train the AI ​​model based on AI positioning, thereby obtaining a model with higher positioning accuracy for subsequent positioning services.

[0044] In conjunction with some embodiments of the first aspect, in some embodiments, the first network element is: Location Management Function (LMF); and / or, the second network element is: Network Data Analytics Function (NWDAF).

[0045] Secondly, embodiments of this disclosure propose an information processing method, executed by a base station, comprising: sending first indication information, wherein the first indication information is used by a first network element to determine a first operation; the first operation includes one of the following: switching from base station-assisted AI positioning to UE-assisted AI positioning; switching from UE-assisted AI positioning to base station-assisted AI positioning; switching from AI-based positioning to non-AI-based positioning; switching from AI positioning based on a first model to AI positioning based on a second model.

[0046] In conjunction with some embodiments of the second aspect, in some embodiments, the first indication information includes: a first indication; the first indication is used to indicate: the capability of base station assisted AI positioning is not supported, or the capability of supporting base station assisted AI positioning is switched to the capability of not supporting base station assisted AI positioning; the first indication is used by the first network element to determine the switch from base station assisted AI positioning to UE assisted AI positioning.

[0047] In conjunction with some embodiments of the second aspect, in some embodiments, the first indication information includes: a third indication; the third indication is used to indicate: the capability to support base station-assisted AI positioning, or the switch from the capability to not support base station-assisted AI positioning to the capability to support base station-assisted AI positioning; the third indication is used by the first network element to determine the switch from UE-assisted AI positioning to base station-assisted AI positioning.

[0048] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes: determining a switch between the base station's ability to support base station-assisted AI positioning and its ability not to support base station-assisted AI positioning, based on the base station's load and / or operator policies.

[0049] In conjunction with some embodiments of the second aspect, in some embodiments, sending the first indication information includes: sending the first indication information to the first network element; or, sending the first indication information to the first network element through a third network element.

[0050] In conjunction with some embodiments of the second aspect, in some embodiments, the first network element is: LMF; and / or, the third network element is: Access and Mobility Management Function (AMF).

[0051] Thirdly, this disclosure proposes an information processing method executed by a terminal, comprising: sending second indication information, wherein the second indication information is used by a first network element to determine a first operation; the first operation includes one of the following: switching from base station-assisted AI positioning to UE-assisted AI positioning; switching from UE-assisted AI positioning to base station-assisted AI positioning; switching from AI-based positioning to non-AI-based positioning; switching from AI positioning based on a first model to AI positioning based on a second model.

[0052] In conjunction with some embodiments of the third aspect, in some embodiments, the second indication information includes a second indication, which is used to indicate: the capability to support UE-assisted AI positioning, or the switch from a capability that does not support UE-assisted AI positioning to a capability that supports UE-assisted AI positioning; the second indication is used by the first network element to determine the switch from base station-assisted AI positioning to UE-assisted AI positioning.

[0053] In conjunction with some embodiments of the third aspect, in some embodiments, the second indication information includes a fourth indication, which is used to indicate: the capability of UE-assisted AI positioning is not supported, or the capability of UE-assisted AI positioning is switched to the capability of UE-unsupported AI positioning; the fourth indication is used by the first network element to determine the switch from UE-assisted AI positioning to base station-assisted AI positioning.

[0054] In some embodiments, in conjunction with the third aspect, the method further includes: determining, based on the terminal's load, a switch between the terminal's ability to support UE-assisted AI positioning and its ability to not support UE-assisted AI positioning.

[0055] In conjunction with some embodiments of the third aspect, in some embodiments, sending the second indication information includes: sending the second indication information to the first network element; or, sending the second indication information to the first network element through the third network element.

[0056] In conjunction with some embodiments of the third aspect, in some embodiments, the first network element is: LMF; and / or, the third network element is: AMF.

[0057] Fourthly, this disclosure proposes an information processing method, including: a base station sending first indication information to a first network element; a terminal sending second indication information to the first network element; the first network element determining a first operation based on the first indication information and / or the second indication information, wherein the first operation includes one of the following: switching from base station-assisted AI positioning to UE-assisted AI positioning; switching from UE-assisted AI positioning to base station-assisted AI positioning; switching from AI-based positioning to non-AI-based positioning; switching from AI positioning based on a first model to AI positioning based on a second model.

[0058] Fifthly, embodiments of this disclosure propose a first network element, including: a first processing module configured to determine a first operation, wherein the first operation is used to indicate one of the following: switching from base station-assisted AI positioning to UE-assisted AI positioning; switching from UE-assisted AI positioning to base station-assisted AI positioning; switching from AI-based positioning to non-AI-based positioning; switching from AI positioning based on a first model to AI positioning based on a second model.

[0059] In a sixth aspect, embodiments of this disclosure provide a base station, comprising: a second transceiver module configured to transmit first indication information, wherein the first indication information is used by a first network element to determine a first operation; the first operation includes one of the following: switching from base station-assisted AI positioning to UE-assisted AI positioning; switching from UE-assisted AI positioning to base station-assisted AI positioning; switching from AI-based positioning to non-AI-based positioning; switching from AI positioning based on a first model to AI positioning based on a second model.

[0060] In a seventh aspect, embodiments of this disclosure provide a communication device including one or more processors; wherein the communication device is used to execute the first aspect, the second aspect, the third aspect, the fourth aspect, or an optional implementation of the first aspect, the second aspect, the third aspect, and the fourth aspect.

[0061] Eighthly, embodiments of this disclosure provide a communication system, including: a first network element, a base station, and a terminal; wherein the first network element is configured to perform the method described in the optional implementation of the first aspect, the base station is configured to perform the method described in the optional implementation of the second aspect, and the terminal is configured to perform the method described in the optional implementation of the third aspect.

[0062] Ninthly, embodiments of this disclosure provide a storage medium storing instructions that, when executed on a communication device, cause the communication device to perform the method described in the first, second, third, fourth, or alternative implementations of the first, second, third, and fourth aspects.

[0063] In a tenth aspect, embodiments of this disclosure provide a computer program product, which includes a computer program or instructions that, when executed by a processor, implement the methods described in the first, second, third, fourth, or alternative implementations of the first, second, third, and fourth aspects.

[0064] In the eleventh aspect, embodiments of this disclosure provide a program product that, when executed by a communication device, causes the communication device to perform the method described in the first aspect, second aspect, third aspect, fourth aspect, or optional implementations of the first aspect, second aspect, third aspect, and fourth aspect.

[0065] In a twelfth aspect, embodiments of this disclosure provide a computer program that, when run on a computer, causes the computer to perform the information processing method as described in the first aspect, second aspect, third aspect, fourth aspect, or optional implementations of the first aspect, second aspect, third aspect, and fourth aspect.

[0066] In a thirteenth aspect, embodiments of this disclosure provide a chip or chip system including processing circuitry configured to perform the methods described in accordance with the first, second, third, and fourth aspects, or alternative implementations of the first, second, third, and fourth aspects.

[0067] It is understood that the aforementioned network elements, base stations, terminals, communication systems, storage media, program products, computer programs, chips, or chip systems are all used to execute the methods provided in the embodiments of this disclosure. Therefore, the beneficial effects that can be achieved can be referred to the beneficial effects in the corresponding methods, and will not be repeated here.

[0068] This disclosure provides an information processing method, a terminal, a network device, a communication system, and a storage medium. In some embodiments, the terms "information processing method" and "information processing device" are interchangeable, as are "information processing apparatus" and "communication apparatus," and "information processing system" and "communication system."

[0069] This disclosure is not exhaustive, but merely illustrative of some embodiments, and is not intended to limit the scope of protection of this disclosure. Unless otherwise specified, each step in a particular embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a particular embodiment can also be implemented as an independent embodiment, and the order of the steps in a particular embodiment can be arbitrarily interchanged. Furthermore, the optional implementation methods in a particular embodiment can be arbitrarily combined; moreover, the embodiments can be arbitrarily combined, for example, some or all steps of different embodiments can be arbitrarily combined, and a particular embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0070] In each of the disclosed embodiments, unless otherwise specified or in case of logical conflict, the terminology and / or descriptions of the embodiments are consistent and can be used interchangeably. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0071] The terminology used in the embodiments of this disclosure is for the purpose of describing particular embodiments only and is not intended to limit the scope of this disclosure.

[0072] In this embodiment of the disclosure, unless otherwise stated, elements expressed in the singular form, such as "a," "an," "the," "the," "the," "the," "the," "the," "this," etc., can mean "one and only one," or "one or more," "at least one," etc. For example, when using articles such as "a," "an," "the," etc. in translation, the noun following the article can be understood as either a singular expression or a plural expression.

[0073] In the embodiments disclosed herein, "multiple" refers to two or more.

[0074] In some embodiments, the terms “at least one of”, “one or more”, “a plurality of”, “multiple”, etc., may be used interchangeably.

[0075] In some embodiments, the notation "at least one of A and B", "A and / or B", "A in one case, B in another", "in response to one case A, in response to another case B", etc., may include the following technical solutions depending on the situation: in some embodiments, A (execute A regardless of B); in some embodiments, B (execute B regardless of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); in some embodiments, A and B (both A and B are executed). The same applies when there are more branches such as A, B, C, etc.

[0076] In some embodiments, the notation "A or B" may include the following technical solutions, depending on the situation: in some embodiments, A (execution of A regardless of B); in some embodiments, B (execution of B regardless of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The same applies when there are more branches such as A, B, C, etc.

[0077] The prefixes "first," "second," etc., used in the embodiments of this disclosure are merely for distinguishing different descriptive objects and do not impose restrictions on the position, order, priority, quantity, or content of the descriptive objects. The description of the descriptive objects is found in the claims or the context of the embodiments, and the use of prefixes should not constitute unnecessary restrictions. For example, if the descriptive object is a "field," the ordinal numbers preceding "field" in "first field" and "second field" do not restrict the position or order of the "fields." "First" and "second" do not restrict whether the "fields" they modify are in the same message, nor do they restrict the order of "first field" and "second field." Similarly, if the descriptive object is a "level," the ordinal numbers preceding "level" in "first level" and "second level" do not restrict the priority between "levels." Furthermore, the number of descriptive objects is not limited by ordinal numbers and can be one or more. For example, in "first device," the number of "devices" can be one or more. Furthermore, the objects modified by different prefixes can be the same or different. For example, if the object being described is "device", then "first device" and "second device" can be the same device or different devices, and their types can be the same or different. Similarly, if the object being described is "information", then "first information" and "second information" can be the same information or different information, and their content can be the same or different.

[0078] In some embodiments, “including A,” “containing A,” “for indicating A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0079] In some embodiments, the terms “in response to…”, “in response to determining…”, “in the case of…”, “when…”, “if…”, “if…”, etc., can be used interchangeably.

[0080] In some embodiments, the terms “greater than,” “greater than or equal to,” “not less than,” “more than,” “more than or equal to,” “not less than,” “higher than,” “higher than or equal to,” “not lower than,” and “above” can be used interchangeably, as can the terms “less than,” “less than or equal to,” “not greater than,” “less than,” “less than or equal to,” “not more than,” “lower than,” “lower than or equal to,” “not higher than,” and “below”.

[0081] In some embodiments, devices, etc., can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. Terms such as “device”, “equipment”, “circuit”, “network element”, “node”, “function”, “unit”, “section”, “system”, “network”, “chip”, “chip system”, “entity”, and “subject” can be used interchangeably.

[0082] In some embodiments, "network" can be interpreted as devices included in a network (e.g., access network devices, core network devices, etc.).

[0083] In some embodiments, the terms "access network device (AN device)," "radio access network device (RAN device)," "base station (BS)," "radio base station," "fixed station," "node," "access point," "transmission point (TP)," "reception point (RP)," "transmission / reception point (TRP)," "panel," "antenna panel," "antenna array," "cell," "macro cell," "small cell," "femto cell," "pico cell," "sector," "cell group," "carrier," "component carrier," and "bandwidth part (BWP)" can be used interchangeably.

[0084] In some embodiments, the terms "terminal", "terminal device", "user equipment (UE)", "user terminal", "mobile station (MS)", "mobile terminal (MT)", "subscriber station", "mobile unit", "subscriber unit", "wireless unit", "remote unit", "mobile device", "wireless device", "wireless communication device", "remote device", "mobile subscriber station", "access terminal", "mobile terminal", "wireless terminal", "remote terminal", "handset", "user agent", "mobile client", and "client" can be used interchangeably.

[0085] In some embodiments, access network devices, core network devices, or network devices can be replaced by terminals. For example, embodiments of this disclosure can also be applied to structures that replace communication between access network devices, core network devices, or network devices and terminals with communication between multiple terminals (e.g., also referred to as device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, the structure can also be configured such that the terminal has all or part of the functions of the access network device. Furthermore, terms such as "uplink" and "downlink" can be replaced with terms corresponding to communication between terminals (e.g., "sidelink"). For example, uplink channel, downlink channel, etc., can be replaced with sidelink channel, uplink link, downlink link, etc., can be replaced with sidelink link.

[0086] In some embodiments, the terminal may be replaced by an access network device, a core network device, or a network device. In this case, the access network device, core network device, or network device may also be configured to have all or some of the functions of the terminal.

[0087] In some embodiments, the acquisition of data, information, etc., may comply with the laws and regulations of the country where the location is situated.

[0088] In some embodiments, data, information, etc., may be obtained with the user's consent.

[0089] Furthermore, each element, each row, or each column in the table of this disclosure can be implemented as an independent embodiment, and any combination of any element, any row, or any column can also be implemented as an independent embodiment.

[0090] Figure 1 is a schematic diagram of the structure of an information processing system 100 according to an embodiment of the present disclosure. As shown in Figure 1, the information processing system 100 may include: a terminal 101 and a network device 102.

[0091] In some embodiments, network device 102 may include at least one of an access network device and a core network device.

[0092] In some embodiments, terminal 101 includes, for example, at least one of the following: mobile phone, wearable device, Internet of Things (IoT) device or terminal, car with communication function, smart car, tablet computer, computer with wireless transceiver function, virtual reality (VR) terminal device, augmented reality (AR) terminal device, wireless terminal device in industrial control, wireless terminal device in self-driving, wireless terminal device in remote medical surgery, wireless terminal device in smart grid, wireless terminal device in transportation safety, wireless terminal device in smart city, and wireless terminal device in smart home, but is not limited thereto.

[0093] In some embodiments, the access network device is, for example, a node or device that connects a terminal to a wireless network. The access network device may include, but is not limited to, at least one of the following in a 5G communication system: evolved Node B (eNB), next-generation eNB (ng-eNB), next-generation Node B (gNB), node B (NB), home node B (HNB), home evolved node B (HeNB), radio backhaul device, radio network controller (RNC), base station controller (BSC), base transceiver station (BTS), base band unit (BBU), mobile switching center, base station in a 6G communication system, open RAN, cloud RAN, base station in other communication systems, and access node in a wireless fidelity (WiFi) system.

[0094] In some embodiments, the technical solutions of this disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within access network devices involved in the embodiments of this disclosure can be transformed into internal interfaces of Open RAN. The processes and information interactions between these internal interfaces can be implemented by software or programs.

[0095] In some embodiments, the access network device may be composed of a central unit (CU) and a distributed unit (DU). The CU may also be called a control unit. The CU-DU structure can separate the protocol layer of the access network device. Some of the protocol layer functions are centrally controlled by the CU, while the remaining part or all of the protocol layer functions are distributed in the DU and centrally controlled by the CU. However, this is not the only possibility.

[0096] In some embodiments, the core network equipment may be a single device, including a first network element, a second network element, a third network element, etc., or it may be multiple devices or a group of devices, each including all or part of the aforementioned first network element, second network element, and / or third network element. The first network element, second network element, and third network element may all be virtual or physical. The core network may include, for example, at least one of the Evolved Packet Core (EPC), 5G Core Network (5GCN), and Next Generation Core (NGC).

[0097] In some embodiments, the first network element can be any network element or entity in the core network that has location management or positioning functions; the name of the first network element is not limited, and it can be, for example, LMF.

[0098] In some embodiments, the second network element can be any network element or entity in the network that has network analysis capabilities; the name of the second network element is not limited, and it can be, for example, an NWDAF, or an operator management entity or function.

[0099] In some embodiments, the third network element can be any network element or entity in the core network that has mobility management functions; the name of the third network element is not limited, and it can be, for example, AMF.

[0100] It is understood that the information processing system described in the embodiments of this disclosure is for the purpose of more clearly illustrating the technical solutions of the embodiments of this disclosure, and does not constitute a limitation on the technical solutions provided in the embodiments of this disclosure. As those skilled in the art will know, with the evolution of system architecture and the emergence of new business scenarios, the technical solutions provided in the embodiments of this disclosure are also applicable to similar technical problems.

[0101] The following embodiments of this disclosure can be applied to the information processing system 100 shown in FIG1, or some of its components, but are not limited thereto. The components shown in FIG1 are illustrative. The information processing system may include all or some of the components in FIG1, or may include other components outside of FIG1. ​​The number and form of each component are arbitrary. The connection relationship between the components is illustrative. The components may not be connected to each other or may be connected in any way. The connection may be direct or indirect, wired or wireless.

[0102] The embodiments disclosed herein can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G New Radio (NR), Future Radio Access (FRA), New-Radio Access Technology (RAT), New Radio (NR), New Radio access (NX), Future generation radio access (FX), Global System for Mobile communications (GSM), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), and IEEE 802.20, Ultra-Wideband (UWB), Bluetooth (a registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X) systems, systems utilizing other communication methods, and next-generation systems built upon them, etc. Furthermore, multiple systems can be combined (e.g., a combination of LTE or LTE-A with 5G).

[0103] In some embodiments, LCS is enhanced to support AI- or machine learning (ML)-based localization. Optionally, AI-based localization includes ML-based localization.

[0104] In some embodiments, the positioning of AI / ML can be studied from the following aspects:

[0105] a) Which entity is the AI / ML model used to train (direct) AI / ML localization, and how does the consumer obtain the trained AI / ML model if the entity used to train the AI / ML model is different from the consumer.

[0106] b) How consumers use trained AI / ML models to perform inference and / or derive UE location;

[0107] c) Subscribe to data collection programs for the purpose of (direct) AI / ML localization and training of AI / ML models;

[0108] d) Whether (direct) AI / ML-based localization is supported through additional 5GC enhancements, and how (direct) AI / ML-based localization is supported through additional 5GC enhancements;

[0109] e) How to monitor the model performance of the AI / ML model used for (direct) AI / ML localization.

[0110] In some embodiments, two methods are used in AI / ML-based positioning: UE-assisted positioning and NG-RAN node-assisted positioning. Optionally, NG-RAN node-assisted positioning can be base station (gNB)-assisted positioning. UE-assisted positioning is a method in which the UE obtains a location policy (e.g., Positioning Reference Signaling (PRS) measurement) and sends the measurement to the LMF to calculate the UE's location. NG-RAN node-assisted positioning is a method in which the NG-RAN node obtains location measurements (e.g., Sounding Reference Signal (SRS) measurement) and sends the measurement to the LMF to calculate the UE's location.

[0111] In some embodiments, the related technologies do not support switching between AI-based positioning methods and UE-assisted positioning and gNB-assisted positioning.

[0112] For example, assume that gNB-assisted positioning is preferred, and that the gNB supports the gNB-assisted positioning method if the gNB is not overloaded. When the gNB is overloaded, the gNB does not support the gNB-assisted positioning method. When the LMF performs gNB-assisted positioning, if the LMF receives an update from the gNB that the gNB no longer supports gNB-assisted positioning; and if there is no available gNB to support gNB-assisted positioning, the LMF cannot switch to UE-assisted positioning because the LMF does not know whether the UE can support UE-assisted positioning.

[0113] For example, when the LMF performs UE-assisted positioning, if the LMF receives an update from the UE that the UE no longer supports UE-assisted positioning, the LMF cannot switch to gNB-assisted positioning because the LMF does not know whether the gNB can support gNB-assisted positioning.

[0114] In some embodiments, the UE can be a terminal, or the terminal can be a UE.

[0115] Figure 2 is an interactive schematic diagram illustrating an information processing method according to an embodiment of the present disclosure. As shown in Figure 2, the present disclosure relates to an information processing method used in an information processing system 100, the method comprising:

[0116] Step S2101: The base station sends the first indication information to the first network element.

[0117] In some embodiments, the first network element receives first indication information sent by the base station. Optionally, the first network element is an LMF (Local Multi-Functional Element).

[0118] In some embodiments, the first indication information is used by the first network element to determine the first operation. Optionally, the first operation may be replaced by a positioning method or first information.

[0119] Optionally, AI positioning may include base station-assisted AI positioning and / or UE-assisted AI positioning. Here, base station-assisted AI positioning may be base station-assisted positioning; this base station-assisted positioning may be gNB-assisted positioning or NG-RAN node-assisted positioning as described in previous embodiments. UE-assisted AI positioning may also be UE-assisted positioning.

[0120] Optionally, the first operation includes one of the following: switching from base station-assisted AI positioning to UE-assisted AI positioning; switching from UE-assisted AI positioning to base station-assisted AI positioning; switching from AI-based positioning to non-AI-based positioning; and switching from AI positioning based on a first model to AI positioning based on a second model. Here, the model performance of the first model is lower than that of the second model; for example, the positioning accuracy of the first model is lower than that of the second model.

[0121] Optionally, the first operation may include one of the following: switching AI positioning from base station assisted positioning to UE assisted positioning; or switching AI positioning from UE assisted positioning to base station assisted positioning.

[0122] Optionally, the positioning method includes one of the following: an AI positioning method that switches from base station-assisted AI positioning to UE-assisted AI positioning; an AI positioning method that switches from UE-assisted AI positioning to base station-assisted AI positioning; a positioning method that switches from AI-based positioning to non-AI-based positioning; and a positioning method that switches from AI positioning based on a first model to AI positioning based on a second model.

[0123] Optionally, the first information is used to indicate one of the following: switching from base station-assisted AI positioning to UE-assisted AI positioning; switching from UE-assisted AI positioning to base station-assisted AI positioning; switching from AI-based positioning to non-AI-based positioning; and switching from AI positioning based on a first model to AI positioning based on a second model.

[0124] Optionally, base station-assisted AI positioning can be gNB-assisted positioning or NG-RAN node-assisted positioning based on AI positioning.

[0125] In some embodiments, the first instruction information includes a first instruction or a third instruction.

[0126] Optionally, the first indication is used to indicate: the ability to support base station-assisted AI positioning is not supported, or the ability to switch from supporting base station-assisted AI positioning to the ability to support base station-assisted AI positioning is not supported.

[0127] Optionally, the first instruction is used by the first network element to determine whether to switch from base station-assisted AI positioning to UE-assisted AI positioning.

[0128] Optionally, the third instruction is used to indicate: the capability to support base station-assisted AI positioning, or the switch from the capability to not support base station-assisted AI positioning to the capability to support base station-assisted AI positioning.

[0129] Optionally, the third indication is used by the first network element to determine whether to switch from UE-assisted AI positioning to base station-assisted AI positioning.

[0130] Optionally, the first indication, the second indication, and the first indication information can all be one or more bits, or they can all be one or more fields.

[0131] Optionally, the names of the first indication, the second indication, and the first indication information are not limited; for example, the first indication information may be a base station assisted AI positioning indication or a base station assisted positioning capability indication (gNB assisted positioning capability indication), or base station assisted AI positioning capability or base station assisted positioning capability information, etc.

[0132] In some embodiments, the base station directly sends the first indication information to the first network element.

[0133] In some embodiments, the base station sends first indication information to the first network element through a third network element.

[0134] Optionally, the base station sends a first indication information to the third network element, and the third network element sends the first indication information to the first network element.

[0135] Optionally, the first network element receives first indication information sent by the third network element, wherein the first indication information is sent by the base station.

[0136] Optionally, the third network element can be an AMF.

[0137] In some embodiments, the base station may send first indication information via a first message; the first message may be a location-related message or a terminal capability update message, etc. For example, the base station sends a terminal capability update message to a first network element, and the terminal capability update message includes the first indication information.

[0138] In some alternative embodiments, prior to step S2101, the base station may determine, based on its load and / or operator policy, the switching between the base station's ability to support base station-assisted AI positioning and its ability not to support base station-assisted AI positioning.

[0139] In some alternative embodiments, the base station determines whether to switch from supporting base station-assisted AI positioning capabilities to not supporting base station-assisted AI positioning capabilities based on whether the base station's load increases from a first load to a second load.

[0140] In some alternative embodiments, the base station determines whether to switch from a capability that does not support base station-assisted AI positioning to a capability that supports base station-assisted AI positioning based on the base station's load decreasing from a second load to a first load.

[0141] Optionally, the first load is lower than or equal to the first load threshold, and the second load is higher than the first load threshold; the first load threshold is the maximum load corresponding to the base station's ability to support base station-assisted AI positioning.

[0142] In some alternative embodiments, the base station determines whether to switch from supporting base station-assisted AI positioning capabilities to not supporting base station-assisted AI positioning capabilities, based on operator policy instructions that the base station does not support base station-assisted AI positioning capabilities.

[0143] In some alternative embodiments, the base station determines whether to switch from a capability that does not support base station-assisted AI positioning to a capability that does support base station-assisted AI positioning, based on the operator's policy instructing the base station to support the capability of base station-assisted AI positioning.

[0144] In some optional embodiments, the base station sends a first indication message to the first network element when it determines whether the base station supports base station-assisted AI positioning or not.

[0145] In step S2102, the terminal sends a second instruction message to the first network element.

[0146] In some embodiments, the first network element receives second instruction information sent by the terminal.

[0147] In some embodiments, the second indication information is used by the first network element to determine the first operation. Optionally, the first operation may be replaced by a positioning method or the first information.

[0148] In some embodiments, the second instruction information includes a second instruction or a fourth instruction.

[0149] Optionally, the second indication is used to indicate: the capability to support UE-assisted AI positioning, or the switch from the capability to not support UE-assisted AI positioning to the capability to support UE-assisted AI positioning.

[0150] Optionally, the second indication is used by the first network element to determine whether to switch from base station-assisted AI positioning to UE-assisted AI positioning.

[0151] Optionally, the fourth indication is used to indicate: the ability to support UE-assisted AI positioning is not supported, or the ability to switch from supporting UE-assisted AI positioning to the ability to support UE-assisted AI positioning is not supported.

[0152] Optionally, the fourth instruction is used by the first network element to determine whether to switch from UE-assisted AI positioning to base station-assisted AI positioning.

[0153] Optionally, the names of the second indication, the fourth indication, and the second indication information are not limited; for example, the second indication information may be a UE-assisted AI positioning indication or a UE-assisted positioning capability or UE-assisted positioning capability information, etc.

[0154] In some embodiments, the terminal directly sends the second instruction information to the first network element.

[0155] In some embodiments, the terminal sends a second instruction message to the first network element through a third network element.

[0156] Optionally, the terminal sends a second instruction to the third network element, and the third network element sends the second instruction to the first network element.

[0157] Optionally, the first network element receives the second indication information sent by the third network element, wherein the second indication information is sent by the terminal.

[0158] In some embodiments, the terminal sends a registration request to the first network element, wherein the registration request includes second instruction information.

[0159] In some embodiments, the terminal may also send the second indication information to the first network element through other messages; for example, the terminal may send the second indication information through a terminal capability update message (which includes the second indication information).

[0160] In some alternative embodiments, prior to step S2102, the following may be included: determining, based on the UE's load, a switch between the UE's ability to support UE-assisted AI positioning and its ability to not support UE-assisted AI positioning.

[0161] In some alternative embodiments, the terminal determines whether the UE is switching from the ability to support UE-assisted AI positioning to the ability to not support UE-assisted AI positioning based on whether the terminal's load increases from the third load to the fourth load.

[0162] In some alternative embodiments, the terminal determines whether the UE is switching from the ability to provide AI positioning that does not support UE-assisted positioning to the ability to provide AI positioning that supports UE-assisted positioning, based on the terminal's load decreasing from the fourth load to the third load.

[0163] Optionally, the third load is lower than or equal to the second load threshold, and the fourth load is higher than the fourth load; the second load threshold is the maximum load corresponding to the terminal's ability to support terminal-assisted positioning.

[0164] In some alternative embodiments, the terminal may also determine, based on operator policies, the switching between the UE's ability to support UE-assisted AI positioning and its ability to not support UE-assisted AI positioning.

[0165] In some alternative embodiments, the terminal determines that the UE is switching from supporting UE-assisted AI positioning to not supporting UE-assisted AI positioning, based on the operator's policy instructing the UE not to support UE-assisted AI positioning.

[0166] In some alternative embodiments, the terminal determines whether the UE is switching from not supporting UE-assisted AI positioning to supporting UE-assisted AI positioning based on the operator's policy instructing the UE to support UE-assisted AI positioning.

[0167] In some optional embodiments, the base station sends a first indication message to the first network element when it determines whether the base station supports base station-assisted AI positioning or not.

[0168] Step S2103: The first network element determines the first operation.

[0169] Optionally, the first operation can be replaced by the positioning method or the first information.

[0170] In some embodiments, the first network element determines a switch from base station-assisted AI positioning to UE-assisted AI positioning based on a first indication information sent by the base station and / or a second indication information sent by the terminal; wherein the first indication information includes a first indication, which indicates that the capability of base station-assisted AI positioning is not supported, or that the capability of supporting base station-assisted AI positioning is switched to the capability of not supporting base station-assisted AI positioning; and / or, the second indication information includes a second indication, which indicates that the capability of UE-assisted AI positioning is supported, or that the capability of not supporting UE-assisted AI positioning is switched to the capability of supporting UE-assisted AI positioning.

[0171] For example, the first network element receives the first indication information sent by the base station. If the first indication information includes the first indication, it determines that the AI ​​positioning assisted by the base station is switched to the AI ​​positioning assisted by the UE (i.e., the AI ​​positioning assisted by the base station is switched to the AI ​​positioning assisted by the UE based on the AI ​​positioning).

[0172] For example, when the first network element receives the second indication information sent by the terminal, if the second indication information includes the second indication, it determines that the AI ​​positioning assisted by the base station is switched to the AI ​​positioning assisted by the UE.

[0173] For example, the first network element receives a first indication information sent by the base station and a second indication information sent by the terminal. If the first indication information includes a first indication and the second indication information includes a second indication, then it determines that the AI ​​positioning assisted by the base station is switched to the AI ​​positioning assisted by the UE.

[0174] In some embodiments, the first network element determines a switch from UE-assisted AI positioning to base station-assisted AI positioning based on a first indication information sent by the base station and / or a second indication information sent by the terminal; wherein the first indication information includes a third indication, which indicates either the capability to support base station-assisted AI positioning or a switch from a capability not supporting base station-assisted AI positioning to a capability supporting base station-assisted AI positioning; and / or, the second indication information includes a fourth indication, which indicates either the capability not supporting UE-assisted AI positioning or a switch from a capability supporting UE-assisted AI positioning to a capability not supporting UE-assisted AI positioning.

[0175] For example, when the first network element receives the first indication information sent by the base station, if the first indication information includes a third indication, it determines that the AI ​​positioning assisted by the UE is switched to the AI ​​positioning assisted by the base station (i.e., the AI ​​positioning assisted by the UE is switched to the AI ​​positioning assisted by the base station based on the AI ​​positioning).

[0176] For example, when the first network element receives the second indication information sent by the terminal, if the second indication information includes a fourth indication, it determines that the AI ​​positioning assisted by the UE is switched to the AI ​​positioning assisted by the base station.

[0177] For example, the first network element receives a first indication information sent by the base station and a second indication information sent by the terminal. If the first indication information includes a third indication and the fourth indication information includes the second indication, then it determines that the AI ​​positioning assisted by the UE is switched to the AI ​​positioning assisted by the base station.

[0178] In some embodiments, the AI ​​model of the first network element based on base station-assisted AI positioning is downgraded from a first performance level to a second performance level, and it is determined to switch from base station-assisted AI positioning to UE-assisted AI positioning.

[0179] Optionally, the first performance is a first positioning accuracy, and the second performance is a second positioning accuracy, wherein the first positioning accuracy is higher than the second positioning accuracy.

[0180] Optionally, the first performance and the second performance can also be any other performance of the AI ​​model based on base station-assisted AI positioning, such as various model performances of the AI ​​model (e.g., performance of speed, complexity, etc.).

[0181] In some embodiments, the AI ​​model of the first network element based on UE-assisted AI positioning is downgraded from the third performance to the fourth performance, and it is determined to switch from UE-assisted AI positioning to base station-assisted AI positioning.

[0182] Optionally, the third performance is the third positioning accuracy, and the fourth performance is the fourth positioning accuracy, with the third positioning accuracy being higher than the fourth positioning accuracy.

[0183] Optionally, the third and fourth performance characteristics can also be any other performance characteristics of the AI ​​model based on UE-assisted AI positioning, such as various model performance characteristics of the AI ​​model (e.g., performance characteristics of rate, complexity, etc.).

[0184] In some embodiments, the first network element can switch from AI-based positioning to non-AI-based positioning based on stored configuration information and / or policy information. Here, the policy information can be policies related to Quality of Service (QoS), etc.

[0185] Step S2104: The first network element sends a first request to the second network element.

[0186] In some embodiments, the second network element receives the first request sent by the first network element. Optionally, the second network element may be an NWDAF or an operator management entity or function. The second network element may also be replaced by a terminal other than the one that sent the first indication information. For example, if the terminal that sent the first indication information is the first terminal, the second network element may be the second terminal, which stores the AI ​​model for AI positioning.

[0187] In some embodiments, the first request is used to trigger the second network element to train the first model based on AI positioning to obtain the second model.

[0188] Optionally, the positioning accuracy of the second model is higher than that of the first model.

[0189] Optionally, the performance of the second model is higher than that of the first model; here, model performance may refer to the model's rate, load capacity, and / or the model's performance related to localization, etc.

[0190] Optionally, both the first model and the second model are AI models, with the first model being the AI ​​model before training and the second model being the AI ​​model after training.

[0191] Optionally, the AI ​​model can be replaced by an ML model; the first model is the ML model before training, and the second model is the ML model after training.

[0192] In some embodiments, the name of the first request is not limited, and it may be, for example, a model update request.

[0193] In step S2105, the second network element sends a first response to the first network element.

[0194] In some embodiments, the first network element receives a first response from the second network element.

[0195] In some embodiments, the first response is used to indicate the second model.

[0196] Optionally, the first response may include a second model.

[0197] Optionally, the first response may include the model identifier of the second model and / or the address information for downloading the second model.

[0198] In some embodiments, the name of the first response is not limited, and it may be, for example, a model update response.

[0199] In some embodiments, the names of information, etc., are not limited to the names described in the embodiments. Terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

[0200] In some embodiments, “get,” “obtain,” “receive,” “transmit,” “bidirectional transmission,” and “send and / or receive” can be used interchangeably and can be interpreted as receiving from other entities, obtaining from protocols, obtaining from higher layers, obtaining through self-processing, or autonomous implementation, among other meanings.

[0201] In some embodiments, terms such as “send,” “transmit,” “report,” “distribute,” “transfer,” “bidirectional transmission,” “send and / or receive” can be used interchangeably.

[0202] In some embodiments, terms such as "certain", "preset", "default", "set", "indicated", "a certain", "any", and "first" can be used interchangeably. "Certain A", "preset A", "default A", "set A", "indicated A", "a certain A", "any A", and "first A" can be interpreted as A pre-defined in a protocol or the like, or as A obtained through setting, configuration, or instruction, or as specific A, a certain A, any A, or first A, but are not limited thereto.

[0203] In some embodiments, the determination or judgment can be made by a value represented by 1 bit (0 or 1), or by a true or false value (boolean), or by a comparison of numerical values ​​(e.g., a comparison with a predetermined value), but is not limited thereto.

[0204] The information processing method involved in the embodiments of this disclosure may include at least one of steps S2101 to S2105. For example, step S2101 can be implemented as an independent embodiment; step S2102 can be implemented as an independent embodiment; step S2103 can be implemented as an independent embodiment; step S2104 can be implemented as an independent embodiment; step S2105 can be implemented as an independent embodiment; a combination of steps S2101 and S2103 can be implemented as an independent embodiment; a combination of steps S2102 and S2103 can be implemented as an independent embodiment; a combination of steps S2101 and steps S2102 and S2103 can be implemented as an independent embodiment. For example, the following can be implemented: the combination of steps S2104 and S2105 can be implemented as an independent embodiment; the combination of steps S2103, S2104 and S2105 can be implemented as an independent embodiment; the combination of steps S2101, S2103, S2104 and S2105 can be implemented as an independent embodiment; the combination of steps S2102, S2103, S2104 and S2105 can be implemented as an independent embodiment; the combination of steps S2101 to S2105 can be implemented as an independent embodiment.

[0205] In some embodiments, steps S2101 to S2102 and steps S2104 to S2105 may be optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0206] In some embodiments, steps S2101, S2104 to S2105 may be optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0207] In some embodiments, steps S2102, S2104 to S2105 may be optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0208] In some embodiments, steps S2104 to S2105 may be optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0209] In the embodiments disclosed herein, each embodiment can be implemented individually or in combination with each other, and the steps in each embodiment can be distinguished by their order.

[0210] Figure 3 is a flowchart illustrating an information processing method according to an embodiment of the present disclosure. As shown in Figure 3, the embodiment of the present disclosure relates to an information processing method executed by a base station, the method including:

[0211] Step S3101: Send first indication information, wherein the first indication information is used by the first network element to determine the first operation.

[0212] Optionally, the first operation includes one of the following: switching from base station-assisted AI positioning to UE-assisted AI positioning; switching from UE-assisted AI positioning to base station-assisted AI positioning; switching from AI-based positioning to non-AI-based positioning; and switching from AI positioning based on a first model to AI positioning based on a second model.

[0213] The optional implementation of step S3101 can be found in the optional implementation of step S2101 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0214] In some embodiments, the base station may send first indication information to a first network element, but is not limited thereto; it may also send first indication information to other entities.

[0215] In some optional embodiments, before step S3101, the method may further include: the base station determining, based on the base station's load and / or operator policy, the switching between the base station's ability to support base station-assisted AI positioning and its ability to not support base station-assisted AI positioning.

[0216] In some embodiments, the first indication information includes: a first indication; the first indication is used to indicate: the capability of base station assisted AI positioning is not supported, or the capability of supporting base station assisted AI positioning is switched to the capability of not supporting base station assisted AI positioning; the first indication is used by the first network element to determine the switch from base station assisted AI positioning to UE assisted AI positioning.

[0217] In some embodiments, the first indication information includes: a third indication; the third indication is used to indicate: the capability to support base station-assisted AI positioning, or the switch from a capability that does not support base station-assisted AI positioning to a capability that supports base station-assisted AI positioning; the third indication is used by the first network element to determine the switch from UE-assisted AI positioning to base station-assisted AI positioning.

[0218] In some embodiments, the method further includes: determining, based on the base station's load and / or operator policies, a switch between the base station's ability to support base station-assisted AI positioning and its ability not to support base station-assisted AI positioning.

[0219] In some embodiments, sending the first instruction information includes: sending the first instruction information to a first network element; or, sending the first instruction information to the first network element through a third network element.

[0220] In some embodiments, the first network element is: LMF; and / or, the third network element is: AMF.

[0221] The above embodiments can be implemented individually or in combination with each other. Optional implementation methods can be found in the steps of Figure 2, and will not be repeated here.

[0222] Figure 4 is a flowchart illustrating an information processing method according to an embodiment of the present disclosure. As shown in Figure 4, the present disclosure relates to an information processing method executed by a base station, the method comprising:

[0223] Step S4101: Send second indication information, wherein the second indication information is used by the first network element to determine the first operation.

[0224] Optionally, the first operation includes one of the following: switching from base station-assisted AI positioning to UE-assisted AI positioning; switching from UE-assisted AI positioning to base station-assisted AI positioning; or switching from AI-based positioning to non-AI-based positioning.

[0225] The optional implementation of step S4101 can be found in the optional implementation of step S2102 in Figure 2, and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0226] In some embodiments, the terminal may send a second instruction message to the first network element, but is not limited thereto; it may also send the second instruction message to other entities.

[0227] In some alternative embodiments, before step S4101, the method may further include: determining, based on the UE's load, a switch between the UE's ability to support UE-assisted AI positioning and its ability to not support UE-assisted AI positioning.

[0228] In some embodiments, the second indication information includes a second indication, which is used to indicate: the capability to support UE-assisted AI positioning, or the switch from a capability that does not support UE-assisted AI positioning to a capability that supports UE-assisted AI positioning; the second indication is used by the first network element to determine the switch from base station-assisted AI positioning to UE-assisted AI positioning.

[0229] In some embodiments, the second indication information includes a fourth indication, which indicates that: the capability of UE-assisted AI positioning is not supported, or the capability of UE-assisted AI positioning is switched to the capability of UE-assisted AI positioning; the fourth indication is used by the first network element to determine the switch from UE-assisted AI positioning to base station-assisted AI positioning.

[0230] In some embodiments, the method further includes: determining, based on the load of the terminal, a switch between the terminal's ability to support UE-assisted AI positioning and its ability to not support UE-assisted AI positioning.

[0231] In some embodiments, sending the second instruction information includes: sending the second instruction information to the first network element; or, sending the second instruction information to the first network element through a third network element.

[0232] In some embodiments, the first network element is: LMF; and / or, the third network element is: AMF.

[0233] The above embodiments can be implemented individually or in combination with each other. Optional implementation methods can be found in the steps of Figure 2, and will not be repeated here.

[0234] Figure 5A is a flowchart illustrating an information processing method according to an embodiment of the present disclosure. As shown in Figure 5A, this embodiment of the present disclosure relates to an information processing method, executed by a first network element, the method comprising:

[0235] Step S5101: Obtain the first instruction information.

[0236] The optional implementation of step S5101 can be found in the optional implementation of step S2101 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0237] In some embodiments, the first network element receives first indication information sent by the base station, but is not limited thereto; it may also receive first indication information sent by other entities.

[0238] In some embodiments, the first network element obtains the first instruction information specified in the protocol.

[0239] In some embodiments, the first network element obtains first indication information from the upper layer(s).

[0240] In some embodiments, the first network element processes the information to obtain the first indication information.

[0241] In some embodiments, step S5101 is omitted, and the first network element autonomously implements the function indicated by the first indication information, or the above function is a default or default setting.

[0242] Step S5102: Obtain the second instruction information.

[0243] The optional implementation of step S5102 can be found in the optional implementation of step S2102 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0244] In some embodiments, the first network element receives second indication information sent by the terminal, but is not limited thereto; it may also receive second indication information sent by other entities.

[0245] In some embodiments, the first network element obtains the second instruction information specified in the protocol.

[0246] In some embodiments, the first network element obtains the second indication information from the upper layer(s).

[0247] In some embodiments, the first network element processes the information to obtain the second indication information.

[0248] In some embodiments, step S5102 is omitted, and the first network element autonomously implements the function indicated by the second indication information, or the above function is defaulted or set to default.

[0249] Step S5103: Determine the first operation.

[0250] The optional implementation of step S5103 can be found in the optional implementation of step S2104 in Figure 2, and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0251] Step S5104: Send the first request.

[0252] The optional implementation of step S5104 can be found in the optional implementation of step S2104 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0253] In some embodiments, the first network element may send a first request to itself, but is not limited to this; it may also send a first request to other entities.

[0254] Step S5105: Obtain the first response.

[0255] The optional implementation of step S5105 can be found in the optional implementation of step S2105 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0256] In some embodiments, the first network element receives a first response sent by the second network element, but is not limited thereto; it may also receive a first response sent by other entities.

[0257] In some embodiments, the first network element obtains the first response specified in the protocol.

[0258] In some embodiments, the first network element obtains a first response from the upper layer(s).

[0259] In some embodiments, the first network element processes the data to obtain a first response.

[0260] In some embodiments, step S5101 is omitted, the first network element autonomously implements the function indicated by the first response, or the above function is default or default.

[0261] The information processing method involved in the embodiments of this disclosure may include at least one of steps S5101 to S5105. For example, step S5101 can be implemented as an independent embodiment; step S5102 can be implemented as an independent embodiment; step S5103 can be implemented as an independent embodiment; step S5104 can be implemented as an independent embodiment; step S5105 can be implemented as an independent embodiment; a combination of steps S5101 and S5103 can be implemented as an independent embodiment; a combination of steps S5102 and S5103 can be implemented as an independent embodiment; a combination of steps S5101 and steps S5102 and S5103 can be implemented as an independent embodiment. For example, the following can be implemented: the combination of steps S5104 and S5105 can be implemented as an independent embodiment; the combination of steps S5103, S5104 and S5105 can be implemented as an independent embodiment; the combination of steps S5101, S5103, S5104 and S5105 can be implemented as an independent embodiment; the combination of steps S5102, S5103, S5104 and S5105 can be implemented as an independent embodiment; the combination of steps S5101 to S5105 can be implemented as an independent embodiment.

[0262] In some embodiments, steps S5101 to S5102 and steps S5104 to S5105 may be optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0263] In some embodiments, steps S5101, S5104 to S5105 may be optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0264] In some embodiments, steps S5102, S5104 to S5105 may be optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0265] In the embodiments disclosed herein, each embodiment can be implemented individually or in combination with each other, and the steps in each embodiment can be distinguished by their order.

[0266] In the embodiments disclosed herein, each embodiment can be implemented individually or in combination with each other, and the steps in each embodiment can be distinguished by their order.

[0267] Figure 5B is a flowchart illustrating an information processing method according to an embodiment of the present disclosure. As shown in Figure 5B, the embodiment of the present disclosure relates to an information processing method executed by a network device, the method including:

[0268] Step S5201: Determine a first operation, wherein the first operation includes one of the following: switching from base station-assisted AI positioning to UE-assisted AI positioning; switching from UE-assisted AI positioning to base station-assisted AI positioning; switching from AI-based positioning to non-AI-based positioning; switching from AI positioning based on a first model to AI positioning based on a second model.

[0269] The optional implementation of step S5201 can be found in step S2103 in Figure 2, or the optional implementation of step S5103 in Figure 5A, as well as other related parts in the embodiments involved in Figures 2 and 5A, which will not be repeated here.

[0270] In some embodiments, determining a first operation includes: determining a switch from base station-assisted AI positioning to UE-assisted AI positioning based on first indication information sent by a base station and / or second indication information sent by a terminal; wherein the first indication information includes a first indication indicating that: the capability of base station-assisted AI positioning is not supported, or the capability of supporting base station-assisted AI positioning is switched to the capability of not supporting base station-assisted AI positioning; and / or, the second indication information includes a second indication indicating that: the capability of UE-assisted AI positioning is supported, or the capability of not supporting UE-assisted AI positioning is switched to the capability of supporting UE-assisted AI positioning.

[0271] In some embodiments, determining a first operation includes: determining a switch from UE-assisted AI positioning to base station-assisted AI positioning based on first indication information sent by a base station and / or second indication information sent by a terminal; wherein the first indication information includes a third indication, the third indication indicating either: the capability to support base station-assisted AI positioning, or a switch from a capability not supporting base station-assisted AI positioning to a capability supporting base station-assisted AI positioning; and / or, the second indication information includes a fourth indication, the fourth indication indicating either: the capability not supporting UE-assisted AI positioning, or a switch from a capability supporting UE-assisted AI positioning to a capability not supporting UE-assisted AI positioning.

[0272] In some embodiments, determining a first operation includes one of the following: the AI ​​model based on base station-assisted AI positioning degrades from a first performance level to a second performance level, and a switch from base station-assisted AI positioning to UE-assisted AI positioning is determined; the AI ​​model based on UE-assisted AI positioning degrades from a third performance level to a fourth performance level, and a switch from UE-assisted AI positioning to base station-assisted AI positioning is determined.

[0273] In some embodiments, the first performance is a first positioning accuracy, the second performance is a second positioning accuracy, and the first positioning accuracy is higher than the second positioning accuracy; or, the third performance is a third positioning accuracy, the fourth performance is a fourth positioning accuracy, and the third positioning accuracy is higher than the fourth positioning accuracy.

[0274] In some embodiments, the method further includes: sending a first request to a second network element, wherein the first request is used to trigger the second network element to train a first model based on AI positioning to obtain a second model, wherein the positioning accuracy of the second model is higher than that of the first model; and receiving a first response from the second network element, wherein the first response is used to instruct the second model.

[0275] In some embodiments, the first network element is: LMF; and / or, the second network element is: NWDAF.

[0276] The above embodiments can be implemented individually or in combination with each other. Optional implementation methods can be found in the steps of Figures 2 and 5A, which will not be repeated here.

[0277] Figure 6 is an interactive schematic diagram of an information processing method according to an embodiment of the present disclosure. As shown in Figure 6, this embodiment of the present disclosure relates to an information processing method for an information processing system 100, the method including one of the following steps:

[0278] Step S6101: The base station sends a first indication message to the first network element.

[0279] The optional implementations of step S6101 can be found in step S2101 in Figure 2, step S3101 in Figure 3, step S5101 in Figure 5A, and other related parts in the embodiments involved in Figures 2, 3, and 5A, which will not be repeated here.

[0280] In step S6102, the terminal sends a second instruction message to the first network element.

[0281] The optional implementations of step S6102 can be found in step S2102 in Figure 2, step S4101 in Figure 4, step S5102 in Figure 5A, and other related parts in the embodiments involved in Figures 2, 4, and 5A, which will not be repeated here.

[0282] In step S6103, the first network element determines a first operation based on the first indication information and / or the second indication information. Optionally, the first operation includes one of the following: switching from base station-assisted AI positioning to UE-assisted AI positioning; switching from UE-assisted AI positioning to base station-assisted AI positioning; switching from AI-based positioning to non-AI-based positioning; and switching from AI positioning based on a first model to AI positioning based on a second model.

[0283] The optional implementations of step S6103 can be found in step S2103 of Figure 2, the optional implementations of step S5103 of Figure 5A, and other related parts in the embodiments involved in Figures 2 and 5A, which will not be repeated here.

[0284] In some embodiments, the above methods may include the methods described in the above embodiments on the information processing system side, base station side, terminal side and / or first network element side, etc., which will not be repeated here.

[0285] This disclosure relates to an information processing method, which includes:

[0286] This disclosure proposes an AI-based positioning method for LMF switching between UE-assisted positioning and gNB-assisted positioning. For example, in the case of gNB overload, i.e., when the gNB does not support or disables gNB-assisted positioning, the switch from gNB-assisted positioning to UE-assisted positioning is determined by introducing one or both of two new indications; these two new indications can be: a UE-assisted positioning indication and a gNB-assisted positioning indication. Similarly, in the case of UE overload, these two new indications can also be introduced to determine the switch from UE-assisted positioning to gNB-assisted positioning.

[0287] Optionally, a UE-assisted positioning indicator is provided to indicate whether the UE supports UE-assisted positioning capabilities. The UE can update the UE-assisted positioning capability to the AMF / LMF based on the UE's load.

[0288] Optionally, a gNB assisted location indicator is used to indicate whether the gNB supports gNB assisted location capabilities. The gNB updates the support for gNB assisted location capabilities to the AMF / LMF based on the gNB's load and / or operator policies.

[0289] Optionally, UE-assisted positioning can be UE-assisted AI positioning as described in previous embodiments; gNB-assisted positioning can be gNB-assisted AI positioning as described in previous embodiments; gNB-assisted positioning capability / indication can be the first indication information as described in previous embodiments; UE-assisted positioning capability / indication can be the second indication information as described in previous embodiments. The UE can be a terminal as described in previous embodiments; the gNB can be a base station as described in previous embodiments.

[0290] Figure 7 is a flowchart illustrating an information processing method according to an embodiment of the present disclosure. As shown in Figure 7, the present disclosure relates to an information processing method, which includes:

[0291] Step S7101: The UE sends a registration request.

[0292] Optionally, the UE sends a registration request to the AMF, which includes a UE-assisted positioning indication. Optionally, the UE-assisted positioning indication can be an AI-assisted positioning indication.

[0293] In step S7102, the gNB sends a gNB-assisted positioning indication. Optionally, the gNB-assisted positioning indication can be an AI positioning indication assisted by the gNB.

[0294] Optionally, the gNB sends a gNB assisted positioning indication to the LMF, or sends the status of gNB assisted positioning, such as ON or OFF. Here, ON means that the gNB supports gNB assisted positioning, and OFF means that the gNB does not support gNB assisted positioning.

[0295] Step S7103: AMF obtains the LCS request.

[0296] Optionally, the AMF obtains a Mobile Originated Location Request (MO-LR) initiated by the UE, or a Mobile Terminated Location Request (MT-LR) terminated by the UE from the LCS client, or the UE obtains a Network Induced Location Request (NI-LR) from the network device. Optionally, the location request can be the first request in the previous embodiments.

[0297] Step S7104, AMF selects SMF.

[0298] Optionally, AMF discovers and selects SMF.

[0299] In step S7105, the AMF sends a location request to the LMF to perform location.

[0300] Optionally, the AMF sends a location request (e.g., Nlmf_Location_DetermineLocation Request) to the LMF; the location request includes a UE assisted positioning indication.

[0301] In step S7106A, the LMF determines to perform gNB-assisted AI positioning.

[0302] Optionally, LMF determines to perform gNB-assisted AI localization.

[0303] In step S7106B, the LMF determines to perform UE-assisted AI positioning.

[0304] Optionally, LMF determines to perform UE-assisted AI localization.

[0305] Step S7107: LMF obtains capability updates for UE or gNB.

[0306] Optionally, the LMF receives capability updates from UEs that do not support UE-assisted AI positioning or gNBs that do not support gNB-assisted AI positioning.

[0307] Step S7108, LMF determines to switch to the AI-based positioning method.

[0308] Optionally, the LMF determines whether to switch the AI-based positioning method from gNB-assisted AI positioning to UE-assisted AI positioning, or switch the AI-based positioning method from UE-assisted AI positioning to gNB-assisted AI positioning; or switch from AI-based positioning to non-AI-based positioning.

[0309] In step S7109A, the LMF performs UE-assisted AI positioning.

[0310] In step S7109B, the LMF performs gNB-assisted AI localization.

[0311] Step S7110, LMF sends a location response.

[0312] Optionally, the LMF sends a location response (Nlmf_Location_DetermineLocation REsponse) to the AMF; the location response includes the location result. Optionally, the location response is the first response in the previous embodiment.

[0313] In step S7111, the AMF sends the location results to the LCS consumer.

[0314] Optionally, LCS consumers include at least one of the following: UE, LCS, client, and application function (AF).

[0315] Optionally, the AMF can also send the positioning results, gNB assisted positioning indications, and / or the capabilities indicated by the assisted positioning indications to the Unified Data Management (UDM) storage.

[0316] In this embodiment of the disclosure, some or all of the steps and their optional implementations can be arbitrarily combined with some or all of the steps in other embodiments, or arbitrarily combined with the optional implementations in other embodiments.

[0317] This disclosure also provides an apparatus for implementing any of the above methods. For example, an apparatus is provided that includes units or modules for implementing the steps performed by the terminal in any of the above methods. Alternatively, another apparatus is provided that includes units or modules for implementing the steps performed by a network device (e.g., an access network device, a core network functional node, a core network device, etc.) in any of the above methods.

[0318] It should be understood that the division of units or modules in the above device is only a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, the units or modules in the device can be implemented by a processor calling software: for example, the device includes a processor connected to a memory containing instructions. The processor calls the instructions stored in the memory to implement any of the above methods or to implement the functions of the units or modules in the above device. The processor can be, for example, a general-purpose processor, such as a Central Processing Unit (CPU) or a microprocessor, and the memory can be internal or external to the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits. The functionality of some or all of the units or modules can be achieved through the design of these hardware circuits, which can be understood as one or more processors. For example, in one implementation, the hardware circuit is an Application-Specific Integrated Circuit (ASIC), and the functionality of some or all of the units or modules is achieved through the design of the logical relationships between the components within the circuit. In another implementation, the hardware circuit can be implemented using a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), which can include a large number of logic gates. The connection relationships between the logic gates are configured through configuration files, thereby achieving the functionality of some or all of the units or modules. All units or modules of the above device can be implemented entirely through processor-called software, entirely through hardware circuits, or partially through processor-called software with the remaining parts implemented through hardware circuits.

[0319] In this embodiment, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction read and execute capabilities, such as a Central Processing Unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a Digital Signal Processor (DSP). In another implementation, the processor can implement certain functions through the logical relationships of hardware circuits. The logical relationships of the aforementioned hardware circuits are fixed or reconfigurable. For example, the processor is a hardware circuit implemented using an Application-Specific Integrated Circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and configuring the hardware circuit can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. In addition, it can also be hardware circuits designed for artificial intelligence, which can be understood as ASICs, such as Neural Network Processing Units (NPUs), Tensor Processing Units (TPUs), and Deep Learning Processing Units (DPUs).

[0320] Figure 8A is a schematic diagram of the structure of the first network element 8100 provided in an embodiment of this disclosure. As shown in Figure 8A, the first network element 8100 includes a first transceiver module 8101 and a first processing module 8102. In some embodiments, the first transceiver module 8101 is used to receive first indication information and / or second indication information. Optionally, the first transceiver module 8101 is used to perform at least one of the sending and / or receiving steps performed by the first network element 8100 in any of the above methods (e.g., steps S2101 and / or steps S2102 and / or steps S2104 and / or steps S2105, etc., but not limited thereto), which will not be elaborated here. In some embodiments, the first processing module 8102 is used to determine a first operation. Optionally, the first processing module 8102 performs at least one of the processing steps performed by the first network element 8100 in any of the above methods (e.g., steps S2103, etc., but not limited thereto), which will not be elaborated here.

[0321] Figure 8B is a schematic diagram of the structure of a base station 8200 provided in an embodiment of this disclosure. As shown in Figure 8B, the base station 8200 includes a second transceiver module 8201. In some embodiments, the second transceiver module 8201 is used to transmit first indication information. Optionally, the second transceiver module 8201 is used to perform at least one of the transmission and / or reception steps performed by the base station 8200 in any of the above methods (e.g., step S2101, but not limited thereto), which will not be described in detail here.

[0322] Figure 8C is a schematic diagram of the structure of a terminal 8300 provided in an embodiment of this disclosure. As shown in Figure 8C, the terminal 8300 includes a third transceiver module 8301. In some embodiments, the third transceiver module 8301 is used to send second indication information. Optionally, the third transceiver module 8301 is used to perform at least one of the sending and / or receiving steps (such as step S2102, but not limited thereto) performed by the terminal 8300 in any of the above methods, which will not be described in detail here.

[0323] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module, which may be separate or integrated. Optionally, the transceiver module may be interchangeable with a transceiver. For example, the first transceiver module described above includes a first transmitting module and / or a first receiving module. For example, the second transceiver module described above includes a second transmitting module and / or a second receiving module.

[0324] In some embodiments, the processing module may be a single module or may include multiple sub-modules. Optionally, the multiple sub-modules may each perform all or part of the steps required by the processing module. Optionally, the processing module may be interchangeable with a processor.

[0325] Figure 9A is a schematic diagram of the structure of the communication device 9100 proposed in an embodiment of this disclosure. The communication device 9100 can be a network device (e.g., access network device, core network device, etc.), a terminal, a chip, chip system, or processor that supports the network device in implementing any of the above methods, or a chip, chip system, or processor that supports the terminal in implementing any of the above methods. The communication device 9100 can be used to implement the methods described in the above method embodiments; for details, please refer to the descriptions in the above method embodiments.

[0326] As shown in Figure 9A, the communication device 9100 includes one or more processors 9101. The processor 9101 can be a general-purpose processor or a dedicated processor, such as a baseband processor or a central processing unit (CPU). The baseband processor can be used to process communication protocols and communication data, while the CPU can be used to control communication devices (e.g., base stations, baseband chips, terminal devices, terminal device chips, DUs or CUs, etc.), execute programs, and process program data. Optionally, the communication device 9100 can be used to execute any of the above methods. Optionally, one or more processors 9101 can be used to invoke instructions to cause the communication device 9100 to execute any of the above methods.

[0327] In some embodiments, the communication device 9100 further includes one or more transceivers 9102. When the communication device 9100 includes one or more transceivers 9102, the transceivers 9102 perform at least one of the communication steps such as sending and / or receiving in the above method (e.g., steps S2101 and / or steps S2102 and / or steps S2104 and / or steps S2105, etc., but not limited thereto), and the processor 9101 performs at least one of other steps (e.g., step S2103, etc., but not limited thereto). In optional embodiments, the transceiver may include a receiver and / or a transmitter, which may be separate or integrated together. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, interface circuit, interface, etc., can be used interchangeably; the terms transmitter, transmitting unit, transmitter, transmitting circuit, etc., can be used interchangeably; and the terms receiver, receiving unit, receiver, receiving circuit, etc., can be used interchangeably.

[0328] In some embodiments, the communication device 9100 further includes one or more memories 9103 for storing data. Optionally, all or part of the memories 9103 may be located outside the communication device 9100. In optional embodiments, the communication device 9100 may include one or more interface circuits 9104. Optionally, the interface circuits 9104 are connected to the memories 9103 and can be used to receive data from the memories 9103 or other devices, and to send data to the memories 9103 or other devices. For example, the interface circuits 9104 can read data stored in the memories 9103 and send that data to the processor 9101.

[0329] The communication device 9100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 9100 described in this disclosure is not limited thereto, and the structure of the communication device 9100 may not be limited by FIG. 9A. The communication device may be a standalone device or a part of a larger device. For example, the communication device may be: (1) a standalone integrated circuit IC, or chip, or chip system or subsystem; (2) a collection of one or more ICs, optionally, the IC collection may also include storage components for storing data and programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, terminal device, smart terminal device, cellular phone, wireless device, handheld device, mobile unit, vehicle device, network device, cloud device, artificial intelligence device, etc.; (6) others, etc.

[0330] Figure 9B is a schematic diagram of the structure of the chip 9200 proposed in an embodiment of this disclosure. For cases where the communication device 9100 can be a chip or a chip system, the schematic diagram of the chip 9200 shown in Figure 9B can be referred to, but is not limited thereto.

[0331] Chip 9200 includes one or more processors 9201. Chip 9200 is used to perform any of the methods described above.

[0332] In some embodiments, chip 9200 further includes one or more interface circuits 9202. Optionally, terms such as interface circuit, interface, and transceiver pin can be used interchangeably. In some embodiments, chip 9200 further includes one or more memories 9203 for storing data. Optionally, all or part of the memories 9203 may be located outside chip 9200. Optionally, interface circuit 9202 is connected to memory 9203, and interface circuit 9202 can be used to receive data from memory 9203 or other devices, and interface circuit 9202 can be used to send data to memory 9203 or other devices. For example, interface circuit 9202 can read data stored in memory 9203 and send the data to processor 9201.

[0333] In some embodiments, the interface circuit 9202 performs at least one of the communication steps such as sending and / or receiving in the above-described method (e.g., steps S2101 and / or S2102 and / or S2104 and / or S2105, but not limited thereto). The interface circuit 9202 performing the communication steps such as sending and / or receiving in the above-described method refers, for example, to the interface circuit 9202 performing data interaction between the processor 9201, the chip 9200, the memory 9203, or the transceiver device. In some embodiments, the processor 9201 performs at least one of other steps (e.g., step S2102, but not limited thereto).

[0334] The modules and / or devices described in the various embodiments, such as virtual devices, physical devices, and chips, can be combined or separated arbitrarily as needed. Optionally, some or all steps can also be performed collaboratively by multiple modules and / or devices, which is not limited here.

[0335] This disclosure also proposes a storage medium storing instructions that, when executed on the communication device 9100, cause the communication device 9100 to perform any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but not limited thereto; it may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but not limited thereto; it may also be a temporary storage medium.

[0336] This disclosure also provides a program product that, when executed by the communication device 9100, causes the communication device 9100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0337] This disclosure also proposes a computer program that, when run on a computer, causes the computer to perform any of the above methods.

Claims

1. An information processing method, characterized in that, Executed by the first network element, including: Determine a first operation, wherein the first operation includes one of the following: The system has switched from base station-assisted AI positioning to UE-assisted AI positioning. Switching from UE-assisted AI positioning to base station-assisted AI positioning; Switch from AI-based location to non-AI-based location; The AI ​​positioning system was switched from being based on the first model to being based on the second model.

2. The method of claim 1, wherein, The determination of the first operation includes: Based on the first indication information sent by the base station and / or the second indication information sent by the terminal, it is determined that the AI ​​positioning assisted by the base station is switched to the AI ​​positioning assisted by the UE. The first indication information includes a first indication, which is used to indicate: the ability to not support base station-assisted AI positioning, or the switch from the ability to support base station-assisted AI positioning to the ability to not support base station-assisted AI positioning. And / or, the second indication information includes a second indication, which indicates: the capability to support UE-assisted AI positioning, or the switch from a capability to not support UE-assisted AI positioning to a capability to support UE-assisted AI positioning.

3. The method of claim 1, wherein, The determination of the first operation includes: Based on the first indication information sent by the base station and / or the second indication information sent by the terminal, it is determined that the AI ​​positioning assisted by the UE is switched to the AI ​​positioning assisted by the base station. The first indication information includes a third indication, which is used to indicate: the ability to support base station-assisted AI positioning, or the switch from the ability to not support base station-assisted AI positioning to the ability to support base station-assisted AI positioning. And / or, the second indication information includes a fourth indication, which indicates: the ability to not support UE-assisted AI positioning, or the switch from the ability to support UE-assisted AI positioning to the ability to not support UE-assisted AI positioning.

4. The method according to claim 1, characterized in that, The determination of the first operation includes one of the following: The AI ​​model based on base station-assisted AI positioning degraded from the first performance level to the second performance level, indicating a switch from base station-assisted AI positioning to UE-assisted AI positioning. The AI ​​model for UE-assisted AI positioning degrades from the third to the fourth performance level, indicating a switch from UE-assisted AI positioning to base station-assisted AI positioning.

5. The method according to claim 4, characterized in that, The first performance refers to a first positioning accuracy, and the second performance refers to a second positioning accuracy, wherein the first positioning accuracy is higher than the second positioning accuracy. or, The third performance is the third positioning accuracy, the fourth performance is the fourth positioning accuracy, and the third positioning accuracy is higher than the fourth positioning accuracy.

6. The method according to claim 4 or 5, characterized in that, The method further includes: Send a first request to the second network element, wherein the first request is used to trigger the second network element to train a first model based on AI positioning to obtain a second model, and the positioning accuracy of the second model is higher than that of the first model; Receive a first response from the second network element, wherein the first response is used to indicate the second model.

7. The method according to any one of claims 1 to 6, characterized in that, The first network element is: Position Management Function (LMF); And / or, The second network element is: Network Data Analysis Function (NWDAF).

8. An information processing method characterized by comprising: Performed by the base station, including: Sending first indication information, wherein the first indication information is used by the first network element to determine a first operation; the first operation includes one of the following: The AI ​​positioning system was switched from base station-assisted positioning to UE-assisted positioning. Switching from UE-assisted AI positioning to base station-assisted AI positioning; Switch from AI-based location to non-AI-based location; The AI ​​positioning system was switched from being based on the first model to being based on the second model.

9. The method of claim 8, wherein, The first indication information includes: a first indication; the first indication is used to indicate: the ability to not support base station-assisted AI positioning, or the switch from the ability to support base station-assisted AI positioning to the ability to not support base station-assisted AI positioning; The first indication is used by the first network element to determine whether to switch from base station-assisted AI positioning to UE-assisted AI positioning.

10. The method of claim 8, wherein, The first indication information includes: a third indication; the third indication is used to indicate: the capability to support base station-assisted AI positioning, or to switch from the capability to not support base station-assisted AI positioning to the capability to support base station-assisted AI positioning; The third indication is used by the first network element to determine whether to switch from UE-assisted AI positioning to base station-assisted AI positioning.

11. The method according to any one of claims 8 to 10, characterized in that, The method further includes: Based on the base station's load and / or operator policies, determine the switching between the base station's ability to support base station-assisted AI positioning and its ability not to support base station-assisted AI positioning.

12. The method according to any one of claims 8 to 11, characterized in that, The sending of the first instruction information includes one of the following: Send the first indication information to the first network element; The first instruction information is sent from the third network element to the first network element.

13. The method according to any one of claims 8 to 11, characterized in that, The first network element is: Position Management Function (LMF); And / or, The third network element is: Access and Mobility Management Function (AMF).

14. An information processing method, characterized in that, Executed by the terminal, including: Sending a second indication message, wherein the second indication message is used by the first network element to determine a first operation; the first operation includes one of the following: The AI ​​positioning system was switched from base station-assisted positioning to UE-assisted positioning. Switching from UE-assisted AI positioning to base station-assisted AI positioning; Switch from AI-based location to non-AI-based location; The AI ​​positioning system was switched from being based on the first model to being based on the second model.

15. The method according to claim 14, characterized in that, The second indication information includes a second indication, which is used to indicate: the ability to support UE-assisted AI positioning, or the switch from the ability to not support UE-assisted AI positioning to the ability to support UE-assisted AI positioning; The second instruction is used by the first network element to determine whether to switch from base station-assisted AI positioning to UE-assisted AI positioning.

16. The method according to claim 14, characterized in that, The second indication information includes a fourth indication, which indicates: the ability to not support UE-assisted AI positioning, or the switch from the ability to support UE-assisted AI positioning to the ability to not support UE-assisted AI positioning; The fourth indication is used by the first network element to determine whether to switch from UE-assisted AI positioning to base station-assisted AI positioning.

17. The method according to any one of claims 14 to 16, characterized in that, The method further includes: Based on the terminal's load, determine the switching between the terminal's ability to support UE-assisted AI positioning and its ability to not support UE-assisted AI positioning.

18. The method according to any one of claims 14 to 17, characterized in that, The sending of the second instruction information includes one of the following: Send the second instruction information to the first network element; The second instruction information is sent from the third network element to the first network element.

19. The method according to any one of claims 14 to 18, characterized in that, The first network element is: Position Management Function (LMF); And / or, The third network element is: Access and Mobility Management Function (AMF).

20. An information processing method characterized by comprising: The method includes: The base station sends the first instruction information to the first network element; The terminal sends a second instruction message to the first network element; The first network element determines a first operation based on the first indication information and / or the second indication information, wherein the first operation includes one of the following: The AI ​​positioning system was switched from base station-assisted positioning to UE-assisted positioning. Switching from UE-assisted AI positioning to base station-assisted AI positioning; Switch from AI-based location to non-AI-based location; The AI ​​positioning system was switched from being based on the first model to being based on the second model.

21. A first network element, characterized by, include: A first processing module is configured to determine a first operation, wherein the first operation is used to indicate one of the following: The AI ​​positioning system was switched from base station-assisted positioning to UE-assisted positioning. Switching from UE-assisted AI positioning to base station-assisted AI positioning; Switch from AI-based location to non-AI-based location; The AI ​​positioning system was switched from being based on the first model to being based on the second model.

22. A base station, characterized in that, include: The second transceiver module is configured to send first indication information, wherein the first indication information is used by the first network element to determine a first operation; the first operation includes one of the following: The AI ​​positioning system was switched from base station-assisted positioning to UE-assisted positioning. Switching from UE-assisted AI positioning to base station-assisted AI positioning; Switch from AI-based location to non-AI-based location; The AI ​​positioning system was switched from being based on the first model to being based on the second model.

23. A terminal, characterized in that, include: The third transceiver module is configured to send first indication information, wherein the first indication information is used by the first network element to determine a first operation; the first operation includes one of the following: The AI ​​positioning system was switched from base station-assisted positioning to UE-assisted positioning. Switching from UE-assisted AI positioning to base station-assisted AI positioning; Switch from AI-based location to non-AI-based location; The AI ​​positioning system was switched from being based on the first model to being based on the second model.

24. A communications device, characterized by include: One or more processors; The communication device is used to execute the information processing method according to any one of claims 1 to 7, or claims 8 to 13, or claims 14 to 19, or claim 20.

25. A communication system, characterized in that, include: A first network element, a base station, and a terminal; wherein the first network element is configured to implement the information processing method according to any one of claims 1 to 7, the base station is configured to implement the information processing method according to any one of claims 8 to 13, and the terminal is configured to implement the information processing method according to any one of claims 14 to 19.

26. A storage medium storing instructions, characterized in that, When the instructions are executed on the communication device, the communication device performs the information processing method as described in any one of claims 1 to 7, or claims 8 to 13, or claims 14 to 19, or claim 20.

27. A computer program product, said computer program product comprising a computer program or instructions, characterized in that, When the computer program or instructions are executed by a processor, they implement the information processing method according to any one of claims 1 to 7, or claims 8 to 13, or claims 14 to 19, or claim 20.

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