Operation processing method and device and storage medium
Patent Information
- Application Number
- CN202380079557.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-11-17
- Publication Date
- 2025-07-18
AI Technical Summary
The prior art is difficult to improve the availability of artificial intelligence in wireless air interfaces, especially when reconfiguring parameters of network devices, and lacks an effective functional management mechanism.
When the network device reconfigures the relevant parameters of the function, the terminal and the network device determine the association result and perform corresponding operations based on this result, ensuring the clarity and efficiency of function management. Specifically, it includes parameter reconfiguration between the terminal and the network device, determination of function correlation results, and execution of corresponding operations.
It improves the availability of artificial intelligence in wireless air interfaces, ensures the effectiveness and efficiency of functional management, avoids the waste of terminal energy consumption, and realizes flexible switching between artificial intelligence and non-artificial intelligence methods.
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Figure CN120345283A_ABST
Abstract
Description
Operation processing method and device, storage medium Technical Field
[0001] The present disclosure relates to the field of communications, and in particular to an operation processing method and device, and a storage medium. Background Art
[0002] Artificial Intelligence (AI) technology is making continuous breakthroughs in a wide range of fields. The continued development of fields like intelligent voice and computer vision has not only brought a rich variety of applications to smart terminals, but has also found widespread application in a wide range of fields, including education, transportation, home living, healthcare, retail, and security.
[0003] Summary of the Invention
[0004] In order to improve the availability of AI technology in wireless air interfaces, the embodiments of the present disclosure provide an operation processing method and device, and a storage medium.
[0005] According to a first aspect of an embodiment of the present disclosure, there is provided an operation processing method, including:
[0006] In response to the network device reconfiguring the first parameter, determining an association result; wherein the association result is used to determine at least one of the following:
[0007] whether the reconfigured first parameter is associated with a first function, where the first function is a function currently used by the terminal;
[0008] whether the reconfigured first parameter is associated with a second function in a first set, where the first set is a set of functions supported by the terminal;
[0009] A first operation is performed based on the correlation result and the reconfigured first parameter.
[0010] According to a second aspect of an embodiment of the present disclosure, there is provided an operation processing method, including:
[0011] In response to reconfiguring the first parameter, determining an association result; wherein the association result is used to determine at least one of the following:
[0012] whether the reconfigured first parameter is associated with a first function, where the first function is a function currently used by the terminal;
[0013] whether the reconfigured first parameter is associated with a second function in a first set, where the first set is a set of functions supported by the terminal;
[0014] A second operation is performed based on the correlation result and the reconfigured first parameter.
[0015] According to a third aspect of an embodiment of the present disclosure, a terminal is provided, including:
[0016] The processing module is configured to determine an association result in response to the network device reconfiguring the first parameter, wherein the association result is used to determine at least one of the following:
[0017] whether the reconfigured first parameter is associated with a first function, where the first function is a function currently used by the terminal;
[0018] whether the reconfigured first parameter is associated with a second function in a first set, where the first set is a set of functions supported by the terminal;
[0019] The processing module is further configured to perform a first operation based on the correlation result and the reconfigured first parameter.
[0020] According to a fourth aspect of an embodiment of the present disclosure, a network device is provided, including:
[0021] The processing module is configured to determine an association result in response to reconfiguring the first parameter, wherein the association result is used to determine at least one of the following:
[0022] whether the reconfigured first parameter is associated with a first function, where the first function is a function currently used by the terminal;
[0023] whether the reconfigured first parameter is associated with a second function in a first set, where the first set is a set of functions supported by the terminal;
[0024] The processing module is further configured to perform a second operation based on the association result and the reconfigured first parameter.
[0025] According to a fifth aspect of an embodiment of the present disclosure, a terminal is provided, including:
[0026] one or more processors;
[0027] The terminal is used to execute any one of the operation processing methods of the first aspect.
[0028] According to a sixth aspect of an embodiment of the present disclosure, a network device is provided, including:
[0029] one or more processors;
[0030] Among them, the network device is used to perform a method for the operation processing behavior of any one of the second aspects.
[0031] According to the seventh aspect of an embodiment of the present disclosure, a communication system is provided, including a terminal and a network device, wherein the terminal is configured to implement the operation processing method of any one of the first aspect, and the network device is configured to implement the operation processing method of any one of the second aspect.
[0032] According to an eighth aspect of an embodiment of the present disclosure, a storage medium is provided, which stores instructions. When the instructions are executed on a communication device, the communication device executes an operation processing method as described in any one of the first aspect or the second aspect.
[0033] In the embodiment of the present disclosure, when a network device reconfigures parameters related to a function, the management behavior of the function is clarified, thereby improving the availability of artificial intelligence in wireless air interfaces.
[0034] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. BRIEF DESCRIPTION OF THE DRAWINGS
[0035] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.
[0036] FIG1A is an exemplary schematic diagram of the architecture of a communication system provided according to an embodiment of the present disclosure.
[0037] FIG1B is a schematic diagram of an architecture among artificial intelligence features, functions, and models provided according to an embodiment of the present disclosure.
[0038] FIG2 is an exemplary interactive diagram of an operation processing method provided according to an embodiment of the present disclosure.
[0039] FIG3A is a schematic diagram of an exemplary flow chart of an operation processing method provided according to an embodiment of the present disclosure.
[0040] FIG3B is a schematic diagram of an exemplary flow chart of an operation processing method provided according to an embodiment of the present disclosure.
[0041] FIG3C is a schematic diagram of an exemplary flow chart of an operation processing method provided according to an embodiment of the present disclosure.
[0042] FIG3D is a schematic diagram of an exemplary flow chart of an operation processing method provided according to an embodiment of the present disclosure.
[0043] FIG4A is a schematic diagram of an exemplary structure of a terminal provided according to an embodiment of the present disclosure.
[0044] FIG4B is a schematic diagram of an exemplary structure of a network device provided according to an embodiment of the present disclosure.
[0045] FIG5A is a schematic diagram of an exemplary structure of a communication device provided according to an embodiment of the present disclosure.
[0046] FIG5B is a schematic diagram of an exemplary structure of a chip provided according to an embodiment of the present disclosure. DETAILED DESCRIPTION
[0047] Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. In the following description, when referring to the drawings, like numbers in different figures represent like or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all possible embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present invention, as detailed in the appended claims.
[0048] The embodiments of the present disclosure provide an operation processing method, device, and storage medium.
[0049] In a first aspect, an embodiment of the present disclosure provides an operation processing method, including:
[0050] In response to the network device reconfiguring the first parameter, determining an association result; wherein the association result is used to determine at least one of the following:
[0051] whether the reconfigured first parameter is associated with a first function, where the first function is a function currently used by the terminal;
[0052] whether the reconfigured first parameter is associated with a second function in a first set, where the first set is a set of functions supported by the terminal;
[0053] A first operation is performed based on the correlation result and the reconfigured first parameter.
[0054] In the above embodiment, when the network device reconfigures parameters related to a function, the management behavior of the function is clarified, thereby improving the availability of artificial intelligence in the wireless air interface.
[0055] In conjunction with some embodiments of the first aspect, in some embodiments, performing a first operation based on the association result and the reconfigured first parameter includes:
[0056] The association result determines that the reconfigured first parameter is associated with the first function, the first function is continued to be used, and the first operation is performed based on the reconfigured first parameter.
[0057] In the above embodiment, if the association result determines that the reconfigured first parameter is associated with the first function currently being used by the terminal, the terminal can continue to use the first function and perform the first operation based on the reconfigured first parameter. In this case, the terminal does not need to perform function switching and / or switching of artificial intelligence features, thereby clarifying the management behavior of the function, improving the availability of artificial intelligence in the wireless air interface, avoiding waste of terminal energy consumption, and improving the efficiency of the terminal in performing the first operation.
[0058] In conjunction with some embodiments of the first aspect, in some embodiments, performing a first operation based on the association result and the reconfigured first parameter includes:
[0059] The association result determines that the reconfigured first parameter is not associated with the first function, stops using the first function, and stops using the first artificial intelligence feature corresponding to the first function; and
[0060] A first operation is performed based on the reconfigured first parameter in a non-artificial intelligence manner.
[0061] In the above embodiment, when the reconfigured first parameter cannot be associated with the first function currently being used by the terminal, the first function is stopped from being used, and the first artificial intelligence feature corresponding to the first function is stopped from being used, and the terminal falls back to the non-artificial intelligence mode, that is, the first operation is performed based on the reconfigured first parameter in the traditional mode, ensuring the execution of the first operation and realizing flexible switching between the artificial intelligence mode and the non-artificial intelligence mode.
[0062] In conjunction with some embodiments of the first aspect, in some embodiments, performing a first operation based on the association result and the reconfigured first parameter includes:
[0063] The association result determines that the reconfigured first parameter is not associated with the first function, but the reconfigured first parameter is associated with the second function, and the first operation is performed based on the reconfigured first parameter using the second function.
[0064] In the above embodiment, if the reconfigured first parameter is not associated with the first function currently in use by the terminal, but is associated with a second function in the first set, the terminal can perform function switching, i.e., use the second function and perform the first operation based on the reconfigured first parameter. This allows for flexible function switching while ensuring execution of the first operation.
[0065] In conjunction with some embodiments of the first aspect, in some embodiments, performing a first operation based on the association result and the reconfigured first parameter includes:
[0066] The association result determines that the reconfigured first parameter is not associated with the first function, and the reconfigured first parameter is not associated with any second function in the first set, stopping use of the first function, and stopping use of the first artificial intelligence feature corresponding to the first function; and
[0067] A first operation is performed based on the reconfigured first parameter in a non-artificial intelligence manner.
[0068] In the above embodiment, if the reconfigured first parameter is not associated with the first function currently being used by the terminal and is not associated with any second function in the first set, the terminal can stop using the first function and stop using the first artificial intelligence feature corresponding to the first function, and fall back to the non-artificial intelligence mode, that is, in the traditional mode, the first operation is performed based on the reconfigured first parameter to ensure the execution of the first operation and realize flexible switching between the artificial intelligence mode and the non-artificial intelligence mode.
[0069] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes at least one of the following:
[0070] Sending a second set to the network device; wherein the second set is a set of functions supported by the terminal, and the second set includes the first set;
[0071] A second set sent by the network device is received; wherein the second set is a set of functions supported by the terminal, and the second set includes the first set.
[0072] In the above embodiment, the terminal may report a second set to the network device and / or receive a second set sent by the network device, where the second set includes the first set and is a set of functions supported by the terminal, so that the terminal and the network device have a consistent understanding of the set of functions supported by the terminal.
[0073] In a second aspect, an embodiment of the present disclosure provides an operation processing method, including:
[0074] In response to reconfiguring the first parameter, determining an association result; wherein the association result is used to determine at least one of the following:
[0075] whether the reconfigured first parameter is associated with a first function, where the first function is a function currently used by the terminal;
[0076] whether the reconfigured first parameter is associated with a second function in a first set, where the first set is a set of functions supported by the terminal;
[0077] A second operation is performed based on the correlation result and the reconfigured first parameter.
[0078] In the above embodiment, when the network device reconfigures parameters related to a function, the management behavior of the function is clarified, thereby improving the availability of artificial intelligence in the wireless air interface.
[0079] In conjunction with some embodiments of the second aspect, in some embodiments, performing the second operation based on the association result and the reconfigured first parameter includes:
[0080] The association result determines that the reconfigured first parameter is associated with the first function, the first function is continued to be used, and the second operation is performed based on the reconfigured first parameter.
[0081] In conjunction with some embodiments of the second aspect, in some embodiments, performing the second operation based on the association result and the reconfigured first parameter includes:
[0082] The association result determines that the reconfigured first parameter is not associated with the first function, stops using the first function, and stops using the first artificial intelligence feature corresponding to the first function; and
[0083] A second operation is performed based on the reconfigured first parameter in a non-artificial intelligence manner.
[0084] In conjunction with some embodiments of the second aspect, in some embodiments, performing the second operation based on the association result and the reconfigured first parameter includes:
[0085] The association result determines that the reconfigured first parameter is not associated with the first function, but the reconfigured first parameter is associated with the second function, and the second operation is performed based on the reconfigured first parameter using the second function.
[0086] In conjunction with some embodiments of the second aspect, in some embodiments, performing the second operation based on the association result and the reconfigured first parameter includes:
[0087] The association result determines that the reconfigured first parameter is not associated with the first function, and the reconfigured first parameter is not associated with any second function in the first set, stopping use of the first function, and stopping use of the first artificial intelligence feature corresponding to the first function; and
[0088] A second operation is performed based on the reconfigured first parameter in a non-artificial intelligence manner.
[0089] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes at least one of the following:
[0090] receiving a second set sent by the terminal; wherein the second set is a set of functions supported by the terminal, and the second set includes the first set;
[0091] A second set is sent to the terminal; wherein the second set is a set of functions supported by the terminal, and the second set includes the first set.
[0092] In a third aspect, an embodiment of the present disclosure provides a terminal, including:
[0093] The processing module is configured to determine an association result in response to the network device reconfiguring the first parameter, wherein the association result is used to determine at least one of the following:
[0094] whether the reconfigured first parameter is associated with a first function, where the first function is a function currently used by the terminal;
[0095] whether the reconfigured first parameter is associated with a second function in a first set, where the first set is a set of functions supported by the terminal;
[0096] The processing module is further configured to perform a first operation based on the correlation result and the reconfigured first parameter.
[0097] In a fourth aspect, an embodiment of the present disclosure provides a network device, including:
[0098] The processing module is configured to determine an association result in response to reconfiguring the first parameter, wherein the association result is used to determine at least one of the following:
[0099] whether the reconfigured first parameter is associated with a first function, where the first function is a function currently used by the terminal;
[0100] whether the reconfigured first parameter is associated with a second function in a first set, where the first set is a set of functions supported by the terminal;
[0101] The processing module is further configured to perform a second operation based on the association result and the reconfigured first parameter.
[0102] In a fifth aspect, an embodiment of the present disclosure provides a terminal, including:
[0103] one or more processors;
[0104] The terminal is used to execute any one of the operation processing methods of the first aspect.
[0105] In a sixth aspect, an embodiment of the present disclosure provides a network device, including:
[0106] one or more processors;
[0107] Among them, the network device is used to perform a method for the operation processing behavior of any one of the second aspects.
[0108] In the seventh aspect, an embodiment of the present disclosure proposes a communication system, including a terminal and a network device, wherein the terminal is configured to implement the operation processing method of any one of the first aspect, and the network device is configured to implement the operation processing method of any one of the second aspect.
[0109] In an eighth aspect, an embodiment of the present disclosure proposes a storage medium storing instructions. When the instructions are executed on a communication device, the communication device executes an operation processing method as described in any one of the first aspect or the second aspect.
[0110] It is understandable that the above-mentioned terminals, network devices, communication systems, storage media, and computer programs are all used to execute the methods proposed in the embodiments of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding methods and will not be repeated here.
[0111] The present disclosure provides an operation processing method, apparatus, and storage medium. In some embodiments, the terms operation processing method, information processing method, and communication method are interchangeable; the terms operation processing apparatus, information processing apparatus, and communication apparatus are interchangeable; and the terms information processing system, communication system, and so on are interchangeable.
[0112] The embodiments of the present disclosure are not exhaustive and are merely illustrative of some embodiments, and are not intended to be a specific limitation on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain 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 certain embodiment can also be implemented as an independent embodiment, and the order of the steps in a certain embodiment can be arbitrarily exchanged. In addition, the optional implementation methods in a certain embodiment can be arbitrarily combined; in addition, the embodiments can be arbitrarily combined. For example, some or all steps of different embodiments can be arbitrarily combined, and a certain embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.
[0113] In each embodiment of the present disclosure, unless otherwise specified or provided for by logic, the terms and / or descriptions between the embodiments are consistent and can be referenced by each other. The technical features in different embodiments can be combined to form a new embodiment based on their inherent logical relationships.
[0114] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure.
[0115] In the embodiments of the present disclosure, unless otherwise specified, elements expressed in the singular, such as "a", "an", "the", "above", "the", "the", etc., may mean "one and only one", or "one or more", "at least one", etc. For example, when articles such as "a", "an", "the" in English are used in translation, the noun following the article may be understood as a singular expression or a plural expression.
[0116] In the embodiments of the present disclosure, “plurality” refers to two or more.
[0117] In some embodiments, the terms "at least one," "one or more," "a plurality of," "multiple," etc. may be used interchangeably.
[0118] In some embodiments, descriptions such as "at least one of A and B," "A and / or B," "A in one case, B in another case," or "in response to one case A, in response to another case B" may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); and in some embodiments, A and B (both A and B are executed). The above is also applicable when there are more branches such as A, B, and C.
[0119] In some embodiments, "A or B" and other descriptions may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The above is also applicable when there are more branches such as A, B, C, etc.
[0120] The prefixes such as "first" and "second" in the embodiments of the present disclosure are only used to distinguish different description objects and do not constitute any restriction on the position, order, priority, quantity or content of the description objects. For the statement of the description object, please refer to the description in the context of the claims or embodiments, and no unnecessary restriction should be constituted due to the use of prefixes. For example, if the description object is a "field", the ordinal number before the "field" in the "first field" and the "second field" does not limit the position or order between the "fields". "First" and "second" do not limit whether the "fields" they modify are in the same message, nor do they limit the order of the "first field" and the "second field". For another example, if the description object is a "level", the ordinal number before the "level" in the "first level" and the "second level" does not limit the priority between the "levels". For another example, the number of description objects is not limited by the ordinal number and can be one or more. Taking "first device" as an example, the number of "devices" can be one or more. In addition, the objects modified by different prefixes can be the same or different. For example, if the description object is "device", then the "first device" and the "second device" can be the same device or different devices, and their types can be the same or different; for another example, if the description object is "information", then the "first information" and the "second information" can be the same information or different information, and their contents can be the same or different.
[0121] In some embodiments, “including A,” “comprising A,” “used to indicate A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.
[0122] In some embodiments, devices and equipment can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. In some cases, they can also be understood as "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "entity", "subject", etc.
[0123] In some embodiments, "network" can be interpreted as devices included in the network, such as access network equipment, core network equipment, etc.
[0124] In some embodiments, "access network device (AN device)" may also be referred to as "radio access network device (RAN device)", "base station (BS)", "radio base station", "fixed station", and in some embodiments may also be understood as "node", "access point", "transmission point (TP)", "reception point (RP)", "transmission and / or reception point (TRP)" "panel", "antenna panel", "antenna array", "cell", "macro cell", "small cell", "femto cell", "pico cell", "sector", "cell group", "serving cell", "carrier", "component carrier", "bandwidth part (BWP)", etc.
[0125] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.
[0126] In some embodiments, data, information, etc. may be obtained with the user's consent.
[0127] In addition, each element, each row, or each column in the table of the embodiment of the present disclosure can be implemented as an independent embodiment, and the combination of any elements, any rows, and any columns can also be implemented as an independent embodiment.
[0128] FIG1A is a schematic diagram showing the architecture of a communication system according to an embodiment of the present disclosure.
[0129] As shown in FIG. 1A , a communication system 100 includes a terminal 101 and a network device 102 .
[0130] In some embodiments, the terminal 101 includes, for example, a mobile phone, a wearable device, an Internet of Things device, a car with communication function, a smart car, a tablet computer, a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, and at least one of a wireless terminal device in a smart home, but is not limited thereto.
[0131] In some embodiments, the network device 102 may include, but is not limited to, at least one of an access network device 102 - 1 and a core network device 102 - 2 .
[0132] In some embodiments, the access network device 102-1 is, for example, a node or device that accesses a terminal to a wireless network. The access network device may include an evolved NodeB (eNB), a next generation evolved NodeB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved nodeB (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, and at least one of an access node in a Wi-Fi system, but is not limited thereto.
[0133] In some embodiments, the access network device 102-1 can be composed of a centralized unit (CU) and a distributed unit (DU), where the CU can also be called a control unit. The CU-DU structure can be used to split the protocol layer of the access network device, with the functions of some protocol layers centrally controlled by the CU, and the functions of the remaining part or all of the protocol layers distributed in the DU, which is centrally controlled by the CU, but is not limited to this.
[0134] In some embodiments, the core network device 102-2 may be a device including one or more network elements, or may be multiple devices or a group of devices. The network elements may be virtual or physical. The core network may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), and a Next Generation Core (NGC).
[0135] In some embodiments, the technical solution of the present disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within the access network devices involved in the embodiments of the present disclosure can be transformed into internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be implemented through software or programs.
[0136] In some embodiments, in some embodiments, the terminal 101 is connected to the core network device 102-2 through the access network device 102-1.
[0137] It can be understood that the communication system described in the embodiment of the present disclosure is for the purpose of more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not constitute a limitation on the technical solution proposed in the embodiment of the present disclosure. Ordinary technicians in this field can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution proposed in the embodiment of the present disclosure is also applicable to similar technical problems.
[0138] The following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG1A , or a portion thereof, but are not limited thereto. The entities shown in FIG1A are illustrative only. The communication system may include all or part of the entities shown in FIG1A , or may include other entities other than those shown in FIG1A . The number and form of the entities may be arbitrary, and the entities may be physical or virtual. The connection relationships between the entities are illustrative only. The entities may be connected or disconnected, and the connection may be in any manner, including direct or indirect, wired or wireless.
[0139] The embodiments of the present disclosure may 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 (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.17 (WiMAX (registered trademark)), IEEE 802.18 (WiMAX (registered trademark)), IEEE 802.19 (WiMAX (registered trademark)), IEEE 802.20 (WiMAX (registered trademark)), IEEE 802.21 (WiMAX (registered trademark)), IEEE 802.22 (WiMAX (registered trademark)), IEEE 802.23 (WiMAX (registered trademark)), IEEE 802.24 (WiMAX (registered trademark)), IEEE 802.25 (WiMAX (registered trademark)), IEEE 802.26 (WiMAX (registered trademark)), IEEE 802.27 (WiMAX (registered trademark)), IEEE 802.28 (WiMAX (registered trademark)), IEEE 802.29 (WiMAX (registered trademark)), IEEE 802.30 (WiMAX (registered trademark)), IEEE 802.31 (WiMAX (registered trademark)), IEEE 802.32 (WiMAX (registered trademark)), IEEE 802.33 (WiMAX (registered trademark)), 802.20, Ultra-WideBand (UWB), Bluetooth (registered trademark), Public Land Mobile Network (PLMN) networks, systems utilizing other communication methods, and next-generation systems based on these. Furthermore, a combination of multiple systems (for example, a combination of LTE or LTE-A with 5G) may also be used.
[0140] The following first introduces the terms involved in the embodiments of the present disclosure.
[0141] Artificial Intelligence / Machine Learning feature (AI / ML feature): hereinafter referred to as "artificial intelligence feature", which refers to the terminal features based on AI / ML operations. The terminal features here include but are not limited to various features when the terminal performs AI operations. Exemplarily, the terminal features may include at least one of the following: CSI enhancement based on AI / ML by the terminal, Channel State Information (CSI) compression based on AI / ML by the terminal, beam management based on AI / ML by the terminal, positioning based on AI / ML by the terminal, etc.
[0142] Functionality: refers to the AI / ML functionality enabled by configuration, where the configuration is supported based on the conditions indicated by the terminal capability. It is understood that functionality is described from the functional perspective of the AI model. For example, under a certain AI feature, AI operations are performed under a certain configuration, and the configuration supported by the function is reported to the network device in the terminal capability (UE capability).
[0143] AI model: or simply called model, which is a neural network model that runs an AI algorithm.
[0144] In an embodiment of the present disclosure, as shown in FIG1B , for example, one artificial intelligence feature may include multiple functionalities. One functionality may correspond to one or more AI models. One functionality may correspond to some parameter configurations.
[0145] In the embodiment of the present disclosure, two lifecycle management methods are defined, one is a lifecycle management method based on functionality, and the other is a lifecycle management method based on a model.
[0146] Among them, functionality-based lifecycle management includes but is not limited to at least one of the following: activation of functionality; deactivation of functionality; switching of functionality; and fallback to non-AI processing methods.
[0147] Among them, the model-based life management method includes but is not limited to at least one of the following: model activation; model deactivation; model switching; and fallback to non-AI processing methods.
[0148] In the embodiment of the present disclosure, considering that a functionality is bound to a series of parameters, when the relevant parameters change, a solution for managing the functionality needs to be clarified.
[0149] The present disclosure provides an operation processing method, apparatus, and storage medium, which can clarify the management behavior of functions when network equipment reconfigures function-related parameters, thereby improving the availability of artificial intelligence in wireless air interfaces.
[0150] Figure 2 is an interactive diagram of an operation processing method according to an embodiment of the present disclosure. As shown in Figure 2, the embodiment of the present disclosure relates to an operation processing method, which includes:
[0151] Step S2101 , the terminal 101 sends a second set to the network device 102 .
[0152] In some embodiments, network device 102 receives the second set.
[0153] In some embodiments, the second set is a set of functions supported by the terminal 101. For example, the second set includes functions #1 to #3 supported by the terminal 101.
[0154] In some embodiments, the second set may be a set of one or more functions that are applicable to terminal 101 based on the current software and hardware environment and the wireless environment, and that are supported by terminal 101. For example, terminal 101 supports functions #1 to #3, but in the current wireless environment, the functions applicable to terminal 101 include function #1 and function #3, and the second set may include function #1 and function #3.
[0155] In some embodiments, the second set includes the first set.
[0156] The first set may be a set of functions supported by the terminal 101, and the first set may not include the first function currently being used by the terminal 101.
[0157] For example, the second set includes functions #1 to #3 supported by the terminal 101. If the first function currently being used by the terminal 101 is function #1, the first set includes function #2 and function #3.
[0158] For another example, the second set includes function #1 and function #3 that are applicable to the terminal 101 under the current wireless environment. The first function currently being used by the terminal 101 is function #1, and the first set includes function #3.
[0159] The above description is merely an example, and the present disclosure does not limit the contents of the second set or the first set.
[0160] In some embodiments, the name of the second set is not limited, and may be, for example, a function set, an available function set, etc.
[0161] In some embodiments, the name of the first set is not limited, and may be, for example, a function set, an adaptable function set, etc.
[0162] In some embodiments, the terminal 101 may send the second set as part of the terminal capability information to the network device 102 when providing the terminal capability information to the network device 102 .
[0163] In some embodiments, the terminal 101 may send the second set to the network device 102 based on the request message sent by the network device 102 .
[0164] In some embodiments, the terminal 101 may send the second set to the network device 102 via a Radio Resource Control (RRC) message, a Media Access Control Element (MAC CE), or the like.
[0165] Step S2102 , the network device 102 sends a second set to the terminal 101 .
[0166] In some embodiments, terminal 101 receives the second set.
[0167] In some embodiments, step S2101 may not be performed, and the network device 102 may directly configure the second set for the terminal 101 .
[0168] In some embodiments, step S2101 may be performed, that is, network device 102 may first receive the second set. Further, network device 102 may send the second set or a subset of the second set to terminal 101. Upon receiving the second set or the subset of the second set, terminal 101 determines that the functions available to terminal 101 are from the second set or the subset of the second set sent by network device 102.
[0169] Step S2103 , the network device 102 reconfigures the first parameter.
[0170] In some embodiments, the network device 102 may reconfigure the first parameter for the terminal 101 based on network implementation.
[0171] In some embodiments, the first parameter may be a parameter associated with a function.
[0172] Exemplarily, when the AI feature is AI-based CSI compression, the first parameter may include but is not limited to frequency domain configuration parameters of the Channel State Information-Reference Signal (CSI-RS); antenna configuration parameters of the CSI-RS.
[0173] Exemplarily, when the AI feature is AI-based beamforming, the first parameter may include but is not limited to the number of input beams; the number of output beams.
[0174] The above description is merely an example. Any parameter associated with a function may be used as the first parameter, and this disclosure does not limit this.
[0175] In some embodiments, the term of the first parameter is not limited and may also be referred to as a "function-related parameter", "function parameter", etc.
[0176] In some embodiments, the network device 102 may reconfigure the first parameter for the terminal 101 through, but not limited to, a Radio Resource Control (RRC) message, a Media Access Control Element (MAC CE), a system message, and the like.
[0177] In step S2104, the terminal 101 determines the association result.
[0178] In some embodiments, the correlation result may be used to determine at least one of the following:
[0179] whether the reconfigured first parameter is associated with a first function, where the first function is a function currently used by the terminal;
[0180] Whether the reconfigured first parameter is associated with a second function in a first set, where the first set is a set of functions supported by the terminal.
[0181] In one example, the association result may be used to determine whether the reconfigured first parameter is associated with a first function, where the first function refers to a function currently being used by the terminal 101 .
[0182] In one example, the association result may be used to determine whether the reconfigured first parameter is associated with a second function in the first set.
[0183] The first set may be a set of functions supported by the terminal 101. The second function may be different from the first function.
[0184] Exemplarily, the first set may not include the first function currently being used by the terminal 101.
[0185] In one example, the association result can be used to determine whether the reconfigured first parameter is associated with the first function and whether it is associated with a second function in the first set, wherein the first function refers to the function currently being used by the terminal 101 .
[0186] Step S2105: The terminal 101 performs a first operation based on the association result and the reconfigured first parameter.
[0187] In some embodiments, the first operation is an operation that the terminal 101 needs to perform based on the association result and the reconfigured first parameter.
[0188] Exemplarily, the first parameter is a power parameter of the CSI-RS and / or an antenna configuration parameter of the CSI, and accordingly, the first operation is an artificial intelligence-based CSI compression operation or a non-artificial intelligence-based CSI compression operation, wherein whether the first operation adopts an artificial intelligence method or a non-artificial intelligence method depends on the association result.
[0189] Exemplarily, the first parameter is the number of input beams and / or the number of output beams, and accordingly, the first operation is an AI-based beam forming operation or a non-AI-based beam forming operation, wherein whether the first operation adopts an AI method or a non-AI method depends on the association result.
[0190] In some embodiments, the terminal 101 may use the corresponding function based on the association result and perform the first operation based on the reconfigured first parameter. Alternatively, the terminal 101 may fall back to a non-artificial intelligence method based on the association result, that is, perform the first operation based on the reconfigured first parameter in a traditional manner. The behavior of the terminal 101 depends on the association result and the reconfigured first parameter, and the specific examples are as follows:
[0191] In an example, if the association result determines that the reconfigured first parameter is still associated with the first function currently being used by the terminal 101 , the terminal 101 may continue to use the first function and perform the first operation based on the reconfigured first parameter.
[0192] For example, the first operation is a CSI compression operation. Network device 102 is configured with two functions. The frequency domain configuration parameters of the CSI-RS corresponding to function #1 include {16 RBs, 32 RBs, 48 RBs}, and the antenna configuration parameters of the CSI-RS corresponding to function #1 include {16 ports, 32 ports}. The frequency domain configuration parameters of the CSI-RS corresponding to function #2 include {16 RBs, 32 RBs, 48 RBs}, and the antenna configuration parameters of the CSI-RS corresponding to function #2 include {64 ports, 128 ports}. The unit of the frequency domain configuration parameters is resource blocks (RBs).
[0193] Terminal 101 is currently using function #1, which is the first function. Network device 102 reconfigures the first parameter, for example, the frequency domain configuration parameter of the CSI-RS, from 16 RBs to 32 RBs. Since the reconfigured first parameter is still associated with function #1, terminal 101 can continue to use the encoder corresponding to function #1 and perform CSI compression based on the reconfigured first parameter, i.e., the frequency domain configuration parameter of the CSI-RS of 32 RBs.
[0194] In one example, if the association result determines that the reconfigured first parameter is not associated with the first function currently being used by terminal 101, terminal 101 may stop using the first function and stop using the first artificial intelligence feature corresponding to the first function, and perform the first operation based on the reconfigured first parameter in a non-artificial intelligence manner.
[0195] Non-AI methods refer to traditional methods. For example, in CSI compression, AI methods include using AI models for CSI compression, while non-AI methods can use the traditional etype II method. The etype II method is a coding method that considers subband correlation and quantizes polarization directions during encoding, which can reduce the number of compressed codewords.
[0196] For example, the first operation is a CSI compression operation. Network device 102 is configured with two functions. The frequency domain configuration parameters of the CSI-RS corresponding to function #1 include {16 RBs, 32 RBs, 48 RBs}, and the antenna configuration parameters of the CSI-RS corresponding to function #1 include {16 ports, 32 ports}. The frequency domain configuration parameters of the CSI-RS corresponding to function #2 include {16 RBs, 32 RBs, 48 RBs}, and the antenna configuration parameters of the CSI-RS corresponding to function #2 include {64 ports, 128 ports}.
[0197] Terminal 101 is currently using function #1, which is the first function. Network device 102 reconfigures the first parameter, the frequency domain configuration parameter of the CSI-RS, from 16 RBs to 96 RBs. Since the reconfigured first parameter is not associated with function #1, terminal 101 can stop using function #1 and the first artificial intelligence feature corresponding to function #1, that is, stop using AI-based CSI compression. Terminal 101 can use a non-artificial intelligence method, such as the etype II method, to perform CSI compression based on the reconfigured first parameter, that is, the frequency domain configuration parameter of the CSI-RS of 96 RBs.
[0198] In one example, the association result determines that the reconfigured first parameter is not associated with the first function, but the reconfigured first parameter is associated with the second function, then the terminal 101 can perform function switching, switching from the first function to the second function, and use the switched second function to perform the first operation based on the reconfigured first parameter.
[0199] For example, the first operation is a CSI compression operation. Network device 102 is configured with two functions. The frequency domain configuration parameters of the CSI-RS corresponding to function #1 include {16 RBs, 32 RBs, 48 RBs}, and the antenna configuration parameters of the CSI-RS corresponding to function #1 include {16 ports, 32 ports}. The frequency domain configuration parameters of the CSI-RS corresponding to function #2 include {16 RBs, 32 RBs, 48 RBs}, and the antenna configuration parameters of the CSI-RS corresponding to function #2 include {64 ports, 128 ports}.
[0200] Terminal 101 is currently using function #1, which is the first function. Network device 102 reconfigures the first parameter, the antenna configuration parameter for the CSI-RS, from 32 RBs to 64 RBs. The reconfigured first parameter is not associated with function #1 but is associated with function #2. Terminal 102 then switches functions and uses the encoder corresponding to function #2 to perform CSI compression based on the reconfigured first parameter, namely, the frequency domain configuration parameter for the 64 RBs CSI-RS.
[0201] In one example, if the association result determines that the reconfigured first parameter is not associated with the first function, and the reconfigured first parameter is not associated with any second function in the first set, the terminal 101 can stop using the first function, and stop using the first artificial intelligence feature corresponding to the first function, and use a non-artificial intelligence method to perform the first operation based on the reconfigured first parameter.
[0202] For example, the first operation is a CSI compression operation. Network device 102 is configured with two functions. The frequency domain configuration parameters of the CSI-RS corresponding to function #1 include {16 RBs, 32 RBs, 48 RBs}, and the antenna configuration parameters of the CSI-RS corresponding to function #1 include {16 ports, 32 ports}. The frequency domain configuration parameters of the CSI-RS corresponding to function #2 include {16 RBs, 32 RBs, 48 RBs}, and the antenna configuration parameters of the CSI-RS corresponding to function #2 include {64 ports, 128 ports}.
[0203] Terminal 101 is currently using function #1, which is the first function. Network device 102 reconfigures the first parameter, the frequency domain configuration parameter of CSI-RS, from 16 RBs to 96 RBs. Since the reconfigured first parameter is not associated with function #1 and is not associated with function #2, terminal 101 can stop using function #1 and the first artificial intelligence feature corresponding to function #1, that is, stop using AI-based CSI compression. Terminal 101 can use a non-artificial intelligence method, such as the etype II method, to perform CSI compression based on the reconfigured first parameter, that is, the frequency domain configuration parameter of CSI-RS of 96 RBs.
[0204] In step S2106 , the network device 102 determines the association result.
[0205] In some embodiments, the correlation result may be used to determine at least one of the following:
[0206] whether the reconfigured first parameter is associated with the first function;
[0207] Whether the reconfigured first parameter is associated with a second function in the first set.
[0208] The concepts of the first function and the first set have been introduced in the previous steps and will not be repeated here.
[0209] The way in which the network device 102 determines the association result is similar to the way in which the terminal 101 determines the association result in step S2104, and will not be repeated here.
[0210] Step S2107 : The network device 102 performs a second operation based on the association result and the reconfigured first parameter.
[0211] In some embodiments, the second operation is an operation that the network device 102 needs to perform based on the association result and the reconfigured first parameter. The second operation is an operation performed by the network device side corresponding to the first operation performed by the terminal 101.
[0212] Exemplarily, the first parameter is a power parameter of the CSI-RS and / or an antenna configuration parameter of the CSI, and accordingly, the second operation is an artificial intelligence-based CSI decompression operation or a non-artificial intelligence-based CSI decompression operation, wherein whether the second operation adopts an artificial intelligence method or a non-artificial intelligence method depends on the association result.
[0213] Exemplarily, the first parameter is the number of input beams and / or the number of output beams, and accordingly, the second operation is an artificial intelligence-based beamforming operation or a non-artificial intelligence-based beamforming operation, wherein whether the second operation adopts an artificial intelligence method or a non-artificial intelligence method depends on the association result.
[0214] In some embodiments, the network device 102 may, based on the association result, use the corresponding function and perform the second operation based on the reconfigured first parameter. Alternatively, the network device 102 may, based on the association result, fall back to a non-artificial intelligence method, i.e., a traditional method, and perform the second operation based on the reconfigured first parameter. The behavior of the network device 102 depends on the content of the association result and the reconfigured first parameter, as exemplified below:
[0215] In an example, if the association result determines that the reconfigured first parameter is still associated with the first function currently being used by the terminal 101 , the network device 102 may continue to use the first function and perform the second operation based on the reconfigured first parameter.
[0216] For example, the second operation is a CSI decompression operation. Network device 102 is configured with two functions. The frequency domain configuration parameters of the CSI-RS corresponding to function #1 include {16 RBs, 32 RBs, 48 RBs}, and the antenna configuration parameters of the CSI-RS corresponding to function #1 include {16 ports, 32 ports}. The frequency domain configuration parameters of the CSI-RS corresponding to function #2 include {16 RBs, 32 RBs, 48 RBs}, and the antenna configuration parameters of the CSI-RS corresponding to function #2 include {64 ports, 128 ports}. The unit of the frequency domain configuration parameters is resource blocks (RBs).
[0217] Terminal 101 is currently using function #1, which is the first function. Network device 102 reconfigures the first parameter, for example, the frequency domain configuration parameter of the CSI-RS, from 16 RBs to 32 RBs. Since the reconfigured first parameter is still associated with function #1, network device 102 can continue to use the decoder corresponding to function #1 to perform CSI decompression based on the reconfigured first parameter, i.e., the frequency domain configuration parameter of the CSI-RS of 32 RBs.
[0218] In one example, if the association result determines that the reconfigured first parameter is not associated with the first function currently being used by the terminal 101, the network device 102 may stop using the first function and stop using the first artificial intelligence feature corresponding to the first function, and perform the second operation based on the reconfigured first parameter in a non-artificial intelligence manner.
[0219] Among them, the non-artificial intelligence method refers to the traditional method. Taking the CSI decompression operation as an example, the artificial intelligence method includes using the AI model for CSI decompression, and the non-artificial intelligence method can be using the traditional etypeII method for CSI decompression.
[0220] For example, the second operation is a CSI decompression operation. Network device 102 is configured with two functions. The frequency domain configuration parameters of the CSI-RS corresponding to function #1 include {16 RBs, 32 RBs, 48 RBs}, and the antenna configuration parameters of the CSI-RS corresponding to function #1 include {16 ports, 32 ports}. The frequency domain configuration parameters of the CSI-RS corresponding to function #2 include {16 RBs, 32 RBs, 48 RBs}, and the antenna configuration parameters of the CSI-RS corresponding to function #2 include {64 ports, 128 ports}.
[0221] Terminal 101 is currently using function #1, which is the first function. Network device 102 reconfigures the first parameter, the frequency domain configuration parameter of the CSI-RS, from 16 to 96. Since the reconfigured first parameter is not associated with function #1, network device 102 can stop using function #1 and the first artificial intelligence feature corresponding to function #1, that is, stop using AI-based CSI decompression. Network device 102 can use a non-artificial intelligence method, such as the etype II method, to perform CSI decompression based on the reconfigured first parameter, namely, the frequency domain configuration parameter of the CSI-RS of 96 RBs.
[0222] In one example, the association result determines that the reconfigured first parameter is not associated with the first function, but the reconfigured first parameter is associated with the second function, then the network device 102 can perform function switching, switching from the first function to the second function, and use the switched second function to perform the second operation based on the reconfigured first parameter.
[0223] For example, the second operation is a CSI decompression operation. Network device 102 is configured with two functions. The frequency domain configuration parameters of the CSI-RS corresponding to function #1 include {16 RBs, 32 RBs, 48 RBs}, and the antenna configuration parameters of the CSI-RS corresponding to function #1 include {16 ports, 32 ports}. The frequency domain configuration parameters of the CSI-RS corresponding to function #2 include {16 RBs, 32 RBs, 48 RBs}, and the antenna configuration parameters of the CSI-RS corresponding to function #2 include {64 ports, 128 ports}.
[0224] Terminal 101 is currently using function #1, which is the first function. Network device 102 reconfigures the first parameter, the antenna configuration parameter for the CSI-RS, from 32 RBs to 64 RBs. The reconfigured first parameter is not associated with function #1 but is associated with function #2. Network device 102 then switches functions and uses the decoder corresponding to function #2 to perform CSI decompression based on the reconfigured first parameter, i.e., the frequency domain configuration parameter for the CSI-RS of 64 RBs.
[0225] In one example, if the association result determines that the reconfigured first parameter is not associated with the first function, and the reconfigured first parameter is not associated with any second function in the first set, the network device 102 may stop using the first function, and stop using the first artificial intelligence feature corresponding to the first function, and perform the second operation based on the reconfigured first parameter in a non-artificial intelligence manner.
[0226] For example, the second operation is a CSI decompression operation. Network device 102 is configured with two functions. The frequency domain configuration parameters of the CSI-RS corresponding to function #1 include {16 RBs, 32 RBs, 48 RBs}, and the antenna configuration parameters of the CSI-RS corresponding to function #1 include {16 ports, 32 ports}. The frequency domain configuration parameters of the CSI-RS corresponding to function #2 include {16 RBs, 32 RBs, 48 RBs}, and the antenna configuration parameters of the CSI-RS corresponding to function #2 include {64 ports, 128 ports}.
[0227] Terminal 101 is currently using function #1, which is the first function. Network device 102 reconfigures the first parameter, the frequency domain configuration parameter of the CSI-RS, from 16 RBs to 96 RBs. Since the reconfigured first parameter is not associated with function #1 and is not associated with function #2, network device 102 can stop using function #1 and the first artificial intelligence feature corresponding to function #1, that is, stop using AI-based CSI decompression. Network device 102 can use a non-artificial intelligence method, such as the etype II method, to perform CSI decompression based on the reconfigured first parameter, that is, the frequency domain configuration parameter of the CSI-RS of 96 RBs.
[0228] In some embodiments, the names of information, etc. are not limited to the names described in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codeword", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.
[0229] In some embodiments, terms such as "send", "transmit", "report", "download", "transmit", "bidirectional transmission", "send and / or receive" can be used interchangeably.
[0230] In some embodiments, "obtain", "get", "get", "receive", "transmit", "bidirectional transmission", "send and / or receive" can be interchangeable, and can be interpreted as receiving from other entities, obtaining from protocols, obtaining from higher layers, obtaining by self-processing, autonomous implementation, etc.
[0231] In some embodiments, the operation processing method involved in the embodiments of the present disclosure may include at least one of steps S2101 to S2107. For example, step S2101 can be implemented as an independent embodiment, step S2102 can be implemented as an independent embodiment, steps S2101+S2102 can be implemented as an independent embodiment, step S2103 can be implemented as an independent embodiment, steps S2101+S2102+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, steps S2104+S2105 can be implemented as an independent embodiment, step S2106 can be implemented as an independent embodiment, step S2107 can be implemented as an independent embodiment, steps S2106+S2107 can be implemented as an independent embodiment, and steps S2101 to S2107 can be implemented as independent embodiments, but are not limited thereto.
[0232] In some embodiments, step S2101 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, when the network device 102 directly configures the second set, step S2101 may not be performed.
[0233] In some embodiments, step S2102 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, if terminal 101 sends the second set to network device 102 and network device 102 does not adjust the content of the second set, step S2102 may not be performed.
[0234] In some embodiments, step S2103 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, if the network device 102 determines based on network implementation that the first parameter does not need to be reconfigured, step S2103 may not be performed.
[0235] In some embodiments, the execution order of step S2103, step S2101, and step S2102 is not limited. For example, step S2103 may be executed first, and then at least one of step S2101 and step S2102 is executed, or at least one of step S2101 and step S2102 may be executed first, and then step S2103 is executed.
[0236] In some embodiments, step S2104 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, if the terminal 101 has already determined the association result according to the protocol or information sent by other execution entities, step S2104 may not be performed.
[0237] In some embodiments, step S2105 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, when the terminal 101 does not need to perform the first operation or has completed the first operation, step S2105 may not be performed.
[0238] In some embodiments, step S2106 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, if the network device 102 has already determined the association result according to the protocol or information sent by other execution entities, step S2106 may not be performed.
[0239] In some embodiments, step S2107 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, if the network device 102 does not need to perform the second operation or has already completed the second operation, step S2107 may not be performed.
[0240] In some embodiments, the order of steps S2104, S2105, S2106, and S2107 can be interchanged. For example, steps S2104 and S2105 can be performed first, followed by steps S2106 and S2107, or steps S2106 and S2107 can be performed first, followed by steps S2104 and S2105.
[0241] In some embodiments, steps S2101 to S2108 are optional, and one or more of these steps may be omitted or replaced in different embodiments.
[0242] In the above embodiment, when the network device reconfigures parameters related to a function, the management behavior of the function is clarified, thereby improving the availability of artificial intelligence in the wireless air interface.
[0243] FIG3A is a flow chart of an operation processing method according to an embodiment of the present disclosure. As shown in FIG3A , the embodiment of the present disclosure relates to an operation processing method, which can be executed by terminal 101, and the method includes:
[0244] Step S3101, determine the association result.
[0245] In some embodiments, the terminal 101 determines the association result when the network device 102 reconfigures the first parameter.
[0246] In some embodiments, the optional implementation of step S3101 can refer to the optional implementation of step S2104 in Figure 2 and other related parts of the embodiment involved in Figure 2, which will not be repeated here.
[0247] Step S3102: perform the first operation.
[0248] In some embodiments, the terminal 101 performs a first operation based on the association result and the reconfigured first parameter.
[0249] In some embodiments, the optional implementation of step S3102 can refer to the optional implementation of step S2105 in Figure 2 and other related parts of the embodiment involved in Figure 2, which will not be repeated here.
[0250] In some embodiments, the operation processing method involved in the embodiments of the present disclosure may include at least one of steps S3101 and S3102. For example, step S3101 may be implemented as an independent embodiment, step S3102 may be implemented as an independent embodiment, and steps S3101+S3102 may be implemented as independent embodiments, but the present invention is not limited thereto.
[0251] In some embodiments, step S3101 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, if the terminal 101 has already determined the association result according to the protocol or information sent by other execution entities, step S3101 may not be performed.
[0252] In some embodiments, step S3102 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, when the terminal 101 does not need to perform the first operation or has completed the first operation, step S3102 may not be performed.
[0253] In the above embodiment, when the network device reconfigures function-related parameters, the terminal behavior is clarified and the availability of artificial intelligence in the wireless air interface is improved.
[0254] FIG3B is a flow chart of an operation processing method according to an embodiment of the present disclosure. As shown in FIG3B , the embodiment of the present disclosure relates to an operation processing method, which can be executed by terminal 101, and the method includes:
[0255] Step S3201, sending the second set.
[0256] In some embodiments, terminal 101 sends the second set to network device 102 .
[0257] In some embodiments, network device 102 receives the second set.
[0258] In some embodiments, the second set is a set of functions supported by terminal 101.
[0259] In some embodiments, the optional implementation of step S3201 can refer to the optional implementation of step S2101 in Figure 2 and other related parts of the embodiment involved in Figure 2, which will not be repeated here.
[0260] Step S3202, obtain the second set.
[0261] In some embodiments, the terminal 101 may obtain the second set from the network device 102, but is not limited thereto. The terminal 101 may also receive the second set sent by other entities.
[0262] In some embodiments, terminal 101 obtains a second set determined according to a predefined rule.
[0263] In some embodiments, terminal 101 performs processing to obtain the second set.
[0264] In some embodiments, step S3202 is omitted, the terminal 101 autonomously implements the functions indicated by the second set, or the terminal 101 obtains the second set based on predefined rules or protocol agreements, or the above functions are default or default.
[0265] In some embodiments, the optional implementation of step S3202 can refer to the optional implementation of step S2102 in Figure 2 and other related parts of the embodiment involved in Figure 2, which will not be repeated here.
[0266] Step S3203: Obtain the first reconfiguration parameter.
[0267] In some embodiments, the terminal 101 may obtain the first reconfiguration parameter from the network device 102, but is not limited thereto. The terminal 101 may also receive the first reconfiguration parameter sent by other entities.
[0268] In some embodiments, the terminal 101 obtains a first reconfiguration parameter determined according to a predefined rule.
[0269] In some embodiments, the terminal 101 performs processing to obtain the first parameter of the reconfiguration.
[0270] In some embodiments, step S3203 is omitted, the terminal 101 autonomously implements the function indicated by the reconfigured first parameter, or the terminal 101 obtains the reconfigured first parameter based on predefined rules or protocol agreements, or the above function is default or default.
[0271] In some embodiments, the optional implementation of step S3202 can refer to the optional implementation of step S2103 in Figure 2 and other related parts of the embodiment involved in Figure 2, which will not be repeated here.
[0272] Step S3204: determine the association result.
[0273] In some embodiments, the optional implementation of step S3204 can refer to the optional implementation of step S2104 in Figure 2 and other related parts of the embodiment involved in Figure 2, which will not be repeated here.
[0274] Step S3205: execute the first operation.
[0275] In some embodiments, the optional implementation of step S3205 can refer to the optional implementation of step S2105 in Figure 2 and other related parts of the embodiment involved in Figure 2, which will not be repeated here.
[0276] In some embodiments, the operation processing method involved in the embodiments of the present disclosure may include at least one of steps S3201 to S3205. For example, step S3201 can be implemented as an independent embodiment, step S3202 can be implemented as an independent embodiment, steps S3201+S3202 can be implemented as an independent embodiment, step S3203 can be implemented as an independent embodiment, steps S3201+S3202+step S3203 can be implemented as an independent embodiment, step S3204 can be implemented as an independent embodiment, step S3205 can be implemented as an independent embodiment, steps S3204+S3205 can be implemented as an independent embodiment, and steps S3201 to S3205 can be implemented as independent embodiments, but are not limited thereto.
[0277] In the above embodiment, when the network device reconfigures function-related parameters, the terminal behavior is clarified, thereby improving the availability of artificial intelligence in the wireless air interface. This can also avoid wasting terminal energy consumption and improve the efficiency of the interaction between the executing terminal and the network device.
[0278] FIG3C is a flow chart of an operation processing method according to an embodiment of the present disclosure. As shown in FIG3C , the embodiment of the present disclosure relates to an operation processing method, which can be executed by the network device 102, and the method includes:
[0279] Step S3301, determine the association result.
[0280] In some embodiments, the network device 102 determines the association result when the first parameter is reconfigured.
[0281] In some embodiments, the optional implementation of step S3301 can refer to the optional implementation of step S2106 in Figure 2 and other related parts of the embodiment involved in Figure 2, which will not be repeated here.
[0282] Step S3302, perform the second operation.
[0283] In some embodiments, the network device 102 performs a second operation based on the association result and the reconfigured first parameter.
[0284] In some embodiments, the second operation is an operation that the network device 102 needs to perform based on the reconfigured first parameter.
[0285] In some embodiments, the optional implementation of step S3302 can refer to the optional implementation of step S2107 in Figure 2 and other related parts of the embodiment involved in Figure 2, which will not be repeated here.
[0286] In some embodiments, the operation processing method involved in the embodiments of the present disclosure may include at least one of steps S3301 and S3302. For example, step S3301 can be implemented as an independent embodiment, step S3302 can be implemented as an independent embodiment, and steps S3301+S3302 can be implemented as independent embodiments, but are not limited thereto.
[0287] In some embodiments, step S3301 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, if the network device 102 has already determined the association result according to the protocol or information sent by other execution entities, step S3301 may not be performed.
[0288] In some embodiments, step S3302 is optional, and one or more of these steps may be omitted or replaced in different embodiments. For example, if the network device 102 does not need to perform the second operation or has already completed the second operation, step S3302 may not be performed.
[0289] In the above embodiment, when the network device reconfigures function-related parameters, the network-side behavior is clarified, thereby improving the availability of artificial intelligence in the wireless air interface.
[0290] FIG3D is a flow chart of an operation processing method according to an embodiment of the present disclosure. As shown in FIG3D , the embodiment of the present disclosure relates to an operation processing method, which can be executed by the network device 102, and the method includes:
[0291] Step S3401, obtain the second set.
[0292] In some embodiments, the network device 102 may obtain the second set from the terminal 101, but is not limited thereto. The network device 102 may also receive the second set sent by other entities.
[0293] In some embodiments, the network device 102 obtains the second set determined according to a predefined rule.
[0294] In some embodiments, network device 102 performs processing to obtain the second set.
[0295] In some embodiments, step S3401 is omitted, the network device 102 autonomously implements the functions indicated by the second set, or the network device 102 obtains the second set based on predefined rules or protocol agreements, or the above functions are default or default.
[0296] In some embodiments, the optional implementation of step S3401 can refer to the optional implementation of step S2101 in Figure 2 and other related parts of the embodiment involved in Figure 2, which will not be repeated here.
[0297] Step S3402: Send the second set.
[0298] In some embodiments, the network device 102 sends the second set to the terminal 101 .
[0299] In some embodiments, terminal 101 receives the second set.
[0300] In some embodiments, the optional implementation of step S3402 can refer to the optional implementation of step S2102 in Figure 2 and other related parts of the embodiment involved in Figure 2, which will not be repeated here.
[0301] Step S3403: reconfigure the first parameter.
[0302] In some embodiments, the network device 102 may send the reconfigured first parameter to the terminal 101 .
[0303] In some embodiments, the optional implementation of step S3403 can refer to the optional implementation of step S2103 in Figure 2 and other related parts of the embodiment involved in Figure 2, which will not be repeated here.
[0304] Step S3404: Determine the association result.
[0305] In some embodiments, the optional implementation of step S3404 can refer to the optional implementation of step S2106 in Figure 2 and other related parts of the embodiment involved in Figure 2, which will not be repeated here.
[0306] Step S3405: perform the second operation.
[0307] In some embodiments, the optional implementation of step S3405 can refer to the optional implementation of step S2107 in Figure 2 and other related parts of the embodiment involved in Figure 2, which will not be repeated here.
[0308] In some embodiments, the operation processing method involved in the embodiments of the present disclosure may include at least one of steps S3401 to S3405. For example, step S3401 can be implemented as an independent embodiment, step S3402 can be implemented as an independent embodiment, steps S3401+S3402 can be implemented as an independent embodiment, step S3403 can be implemented as an independent embodiment, steps S3401+S3402+step S3403 can be implemented as an independent embodiment, step S3404 can be implemented as an independent embodiment, step S3405 can be implemented as an independent embodiment, steps S3404+S3405 can be implemented as an independent embodiment, and steps S3401 to S3405 can be implemented as independent embodiments, but are not limited thereto.
[0309] In the above embodiment, when the network device reconfigures function-related parameters, the network-side behavior is clarified, thereby improving the availability of artificial intelligence in the wireless air interface.
[0310] The above process is further illustrated by the following examples:
[0311] The relevant parameters of the function are divided into the following three categories:
[0312] The first category: the parameters before and after the change are associated with the same functionality;
[0313] The second category: the parameters before and after the change are associated with different functionalities;
[0314] The third category: The changed parameters have no corresponding functionality.
[0315] Based on the above classification, the following operation solutions are provided:
[0316] In response to the network device configuring functionality-related parameters for the terminal, the terminal determines whether the reconfigured first parameter is still associated with the currently used functionality and / or the currently supported functionality.
[0317] In one example, if the reconfigured first parameter is associated with functionality currently being used, the terminal and the network device continue to use the current functionality.
[0318] In one example, if the first parameter to be reconfigured is not associated with the functionality currently being used, the following options are considered:
[0319] Option 1: The terminal stops using the current functionality and also stops using the AI / ML feature corresponding to this AI functionality. The network device also assumes that the terminal has performed these operations and uses traditional processing methods.
[0320] Option 2: Determine whether the first reconfigured parameter is associated with functionality in the first set supported by the terminal.
[0321] If the reconfigured first parameter is associated with a functionality in the first set, the terminal uses the functionality corresponding to the reconfigured first parameter (i.e., the functionality in the first set). At the same time, on the network device side, the network device also defaults to the functionality switching and processes according to the new functionality.
[0322] If the reconfigured first parameter is not associated with any functionality in the first set, the terminal falls back to a non-AI processing method, which also corresponds to a traditional processing method on the network device side.
[0323] There are several ways to determine the first set:
[0324] Option 1: The first set is other functionalities supported by the terminal except the currently running functionality;
[0325] Option 2: The first set is the set configured by the network device for the terminal;
[0326] Option 3: The first set is the set reported by the terminal to the network device.
[0327] The following embodiments are provided based on the above scheme.
[0328] In Example 1, for example, AI-based CSI compression, an AI / ML feature, uses AI to compress CSI measured on the terminal side and decompress it using an AI-based method on the network device side. The following four functionalities are defined for this feature. These four functionalities correspond to different CSI-RS frequency domain configuration parameters or antenna configuration parameters, as shown in Table 1.
[0329] Table 1
[0330] Assume that the current terminal is using function #1. When the frequency domain configuration parameters of the CSI-RS are reconfigured from 16 RBs to 32 RBs, function #1 can continue to be used.
[0331] When the CSI-RS frequency domain configuration parameters are reconfigured from 16 RBs to 128 RBs, the terminal has two implementation options: One option is for the terminal to stop using AI-based CSI compression and instead use traditional eType II to compress and transmit the CSI. The network device then uses the corresponding eType II reception and decompression methods. The other option is for the terminal to switch from Function #1 to Function #3. Simultaneously, the network device uses the decoder corresponding to Function #3 for reception and processing.
[0332] When the frequency domain configuration parameters of CSI-RS are reconfigured from 16RBs to 156RBs, the terminal stops using AI-based CSI compression and uses the traditional etype II method to compress and send CSI. The network side uses the reception and decompression method corresponding to etype II.
[0333] Example 2 is directed to AI-based beam forming.
[0334] AI-based beam forming uses AI to predict beam channel information. The AI model inputs channel measurement information for a subset of beams and outputs channel information for the entire set of beams. For example, it inputs the Reference Signal Received Power (RSRP) for 16 beams and outputs the RSRP for 64 beams. Table 2 lists the number of input and output beams corresponding to different functions.
[0335] Table 2
[0336] Assume that the current terminal is using function #1. When the number of input beams is reconfigured from 16 to 32 RBs, function #1 can continue to be used.
[0337] When the number of input beams is reconfigured from 16 to 64, the terminal has two implementation options: One option is for the terminal to stop using AI-based CSI compression and use traditional methods to measure the RSRP of all 64 beams. The network device then uses traditional methods to receive and obtain the RSRP of all 64 beams. The other option is for the terminal to switch from Function #1 to Function #3. Simultaneously, the network device uses the decoder corresponding to Function #3 for reception and processing.
[0338] When the number of input beams is reconfigured from 16 to 8, the terminal stops using AI-based CSI compression and uses the traditional method to measure the RSRP of the 8 beams. The network device uses the corresponding method to receive and obtain the RSRP of the 8 beams.
[0339] The embodiments of the present disclosure further provide an apparatus for implementing any of the above methods. For example, an apparatus is provided, comprising units or modules for implementing each step performed by a terminal in any of the above methods. For another example, another apparatus is provided, comprising units or modules for implementing each step performed by a network device (e.g., an access network device, a core network device, etc.) in any of the above methods.
[0340] It should be understood that the division of the various units or modules in the above device is merely a division of logical functions. In actual implementation, they may be fully or partially integrated into a physical entity, or they may be physically separated. In addition, the units or modules in the device may be implemented in the form of a processor calling software: for example, the device includes a processor, the processor is connected to a memory, and the memory stores instructions. The processor calls the instructions stored in the memory to implement any of the above methods or implement the functions of the various units or modules of the above device, wherein the processor is, for example, a general-purpose processor, such as a central processing unit (CPU) or a microprocessor, and the memory is a memory within the device or a memory outside the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits, and the functions of some or all of the units or modules can be realized by designing the hardware circuits. The above-mentioned hardware circuits can be understood as one or more processors; for example, in one implementation, the above-mentioned hardware circuit is an application-specific integrated circuit (ASIC), which realizes the functions of some or all of the above units or modules by designing the logical relationship of the components in the circuit; for example, in another implementation, the above-mentioned hardware circuit can be realized by a programmable logic device (PLD). Taking a field programmable gate array (FPGA) as an example, it can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by configuring the configuration file, thereby realizing the functions of some or all of the above units or modules. All units or modules of the above devices can be realized in the form of software called by the processor, or in the form of hardware circuits, or in part by the form of software called by the processor, and the rest by hardware circuits.
[0341] In the embodiments of the present disclosure, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction reading and execution 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 relationship of the hardware circuit. The logical relationship of the above-mentioned hardware circuit is fixed or reconfigurable. For example, the processor is a hardware circuit implemented by 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 implementing the hardware circuit configuration 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 a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a neural network processing unit (NPU), a tensor processing unit (TPU), a deep learning processing unit (DPU), etc.
[0342] FIG4A is a schematic diagram of the structure of a terminal according to an embodiment of the present disclosure. As shown in FIG4A , a terminal 4100 may include: a processing module 4101 .
[0343] In some embodiments, the processing module 4101 is configured to determine an association result in response to the network device reconfiguring the first parameter; wherein the association result is used to determine at least one of the following:
[0344] whether the reconfigured first parameter is associated with a first function, where the first function is a function currently used by the terminal;
[0345] whether the reconfigured first parameter is associated with a second function in a first set, where the first set is a set of functions supported by the terminal;
[0346] A first operation is performed based on the correlation result and the reconfigured first parameter.
[0347] Optionally, the processing module 4101 is used to execute at least one of the other steps (such as step S2104 and step S2105, but not limited thereto) executed by the terminal 4100 in any of the above methods, which will not be repeated here.
[0348] Optionally, the above-mentioned terminal 4100 may also include a transceiver module 4102 (not shown in Figure 4A), which is used to execute at least one of the communication steps such as sending and / or receiving (for example, step S2101, step S2102, step S2103, but not limited to these) performed by the terminal 4100 in any of the above methods, which will not be repeated here.
[0349] FIG4B is a schematic diagram of the structure of a network device according to an embodiment of the present disclosure. As shown in FIG4B , the network device 4200 may include: a processing module 4201 .
[0350] In some embodiments, the processing module 4201 is configured to determine a correlation result in response to reconfiguring the first parameter; wherein the correlation result is used to determine at least one of the following:
[0351] whether the reconfigured first parameter is associated with a first function, where the first function is a function currently used by the terminal;
[0352] whether the reconfigured first parameter is associated with a second function in a first set, where the first set is a set of functions supported by the terminal;
[0353] A second operation is performed based on the correlation result and the reconfigured first parameter.
[0354] Optionally, the processing module 4201 is used to execute at least one of the other steps (such as step S2106 and step S2107, but not limited thereto) executed by the network device 4200 in any of the above methods, which will not be repeated here.
[0355] Optionally, the above-mentioned network device 4200 may also include a transceiver module 4202 (not shown in Figure 4B), which is used to execute at least one of the communication steps such as sending and / or receiving (for example, step S2101, step S2102, step S2103, but not limited to this) performed by the network device 4200 in any of the above methods, which will not be repeated here.
[0356] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module, and the transmitting module and the receiving module may be separate or integrated. Optionally, the transceiver module may be interchangeable with the transceiver.
[0357] In some embodiments, the processing module can be a single module or can include multiple submodules. Optionally, the multiple submodules respectively execute all or part of the steps required to be executed by the processing module. Optionally, the processing module can be interchangeable with the processor.
[0358] Figure 5A is a schematic diagram of the structure of a communication device 5100 proposed in an embodiment of the present disclosure. Communication device 5100 can be a network device (e.g., an access network device, a core network device, etc.), a terminal (e.g., a user equipment, etc.), a chip, a chip system, or a processor that supports a network device to implement any of the above methods, or a chip, a chip system, or a processor that supports a terminal to implement any of the above methods. Communication device 5100 can be used to implement the methods described in the above method embodiments. For details, please refer to the description of the above method embodiments.
[0359] As shown in Figure 5A, the communication device 5100 includes one or more processors 5101. The processor 5101 can be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process the communication protocol and communication data, and the central processing unit can be used to control the communication device (such as a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute programs, and process program data. Optionally, the communication device 5100 is used to perform any of the above methods. Optionally, one or more processors 5101 are used to call instructions to enable the communication device 5100 to perform any of the above methods.
[0360] In some embodiments, the communication device 5100 further includes one or more transceivers 5102. When the communication device 5100 includes one or more transceivers 5102, the transceiver 5102 performs at least one of the communication steps such as sending and / or receiving in the above method (e.g., step S2101, step S2102, step S2103, but not limited thereto), and the processor 5101 performs at least one of the other steps (e.g., step S2104, step S2105, step S2106, step S2107, but not limited thereto). In an optional embodiment, the transceiver may include a receiver and / or a transmitter, and the receiver and transmitter may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, interface circuit, and interface may be interchangeable, the terms transmitter, transmitting unit, transmitter, and transmitting circuit may be interchangeable, and the terms receiver, receiving unit, receiver, and receiving circuit may be interchangeable.
[0361] In some embodiments, the communication device 5100 further includes one or more memories 5103 for storing data. Alternatively, all or part of the memories 5103 may be located outside the communication device 5100. In alternative embodiments, the communication device 5100 may include one or more interface circuits 5104. Optionally, the interface circuits 5104 are connected to the memory 5102 and may be configured to receive data from the memory 5102 or other devices, or to send data to the memory 5102 or other devices. For example, the interface circuits 5104 may read data stored in the memory 5102 and send the data to the processor 5101.
[0362] The communication device 5100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 5100 described in the present disclosure is not limited thereto, and the structure of the communication device 5100 may not be limited to FIG. 5A. The communication device may be an independent device or may be part of a larger device. For example, the communication device may be: 1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data or programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handheld device, a mobile unit, an in-vehicle device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.
[0363] 5B is a schematic diagram of the structure of a chip 5200 according to an embodiment of the present disclosure. If the communication device 5100 can be a chip or a chip system, reference can be made to the schematic diagram of the structure of the chip 5200 shown in FIG5B , but the present disclosure is not limited thereto.
[0364] The chip 5200 includes one or more processors 5201. The chip 5200 is configured to execute any of the above methods.
[0365] In some embodiments, chip 5200 further includes one or more interface circuits 5202. Terms such as interface circuit, interface, and transceiver pins may be used interchangeably. In some embodiments, chip 5200 further includes one or more memories 5203 for storing data. Alternatively, all or part of memory 5203 may be located external to chip 5200. Optionally, interface circuit 5202 is connected to memory 5203 and may be used to receive data from memory 5203 or other devices, or may be used to send data to memory 5203 or other devices. For example, interface circuit 5202 may read data stored in memory 5203 and send the data to processor 5201.
[0366] In some embodiments, the interface circuit 5202 performs at least one of the communication steps (e.g., steps S2101, S2102, and S2103, but not limited thereto) of the aforementioned method. The interface circuit 5202 performing the communication steps (e.g., steps S2101, S2102, and S2103, but not limited thereto) of the aforementioned method means, for example, that the interface circuit 5202 performs data exchange between the processor 5201, the chip 5200, the memory 5203, or the transceiver device. In some embodiments, the processor 5201 performs at least one of the other steps (e.g., steps S2104, S2105, S2106, and S2107, but not limited thereto).
[0367] The modules and / or devices described in various embodiments, such as virtual devices, physical devices, and chips, can be arbitrarily combined or separated according to circumstances. Optionally, some or all steps can also be performed collaboratively by multiple modules and / or devices, which is not limited here.
[0368] The present disclosure also proposes a storage medium having instructions stored thereon, which, when executed on the communication device 5100, causes the communication device 5100 to execute 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 is not limited thereto and may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but is not limited thereto and may also be a transient storage medium.
[0369] The present disclosure also provides a program product, which, when executed by the communication device 5100, enables the communication device 5100 to perform any of the above methods. Optionally, the program product is a computer program product.
[0370] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes can be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims
1. An operation processing method, It is characterized in that include: In response to the network device reconfiguring the first parameter, determining an association result; wherein the association result is used to determine at least one of the following: whether the reconfigured first parameter is associated with a first function, where the first function is a function currently used by the terminal; whether the reconfigured first parameter is associated with a second function in a first set, where the first set is a set of functions supported by the terminal; A first operation is performed based on the association result and the reconfigured first parameter.
2. The method according to claim 1, It is characterized in that The performing a first operation based on the association result and the reconfigured first parameter includes: The association result determines that the reconfigured first parameter is associated with the first function, the first function continues to be used, and the first operation is performed based on the reconfigured first parameter.
3. The method according to claim 1, It is characterized in that The performing a first operation based on the association result and the reconfigured first parameter includes: The association result determines that the reconfigured first parameter is not associated with the first function, stops using the first function, and stops using a first artificial intelligence feature corresponding to the first function; and The first operation is performed based on the reconfigured first parameter in a non-artificial intelligence manner.
4. The method according to claim 1, It is characterized in that The performing a first operation based on the association result and the reconfigured first parameter includes: The association result determines that the reconfigured first parameter is not associated with the first function, but the reconfigured first parameter is associated with the second function, and the first operation is performed based on the reconfigured first parameter using the second function.
5. The method according to claim 1, It is characterized in that The performing a first operation based on the association result and the reconfigured first parameter includes: The association result determines that the reconfigured first parameter is not associated with the first function, and the reconfigured first parameter is not associated with any of the second functions in the first set, stops using the first function, and stops using the first artificial intelligence feature corresponding to the first function; and The first operation is performed based on the reconfigured first parameter in a non-artificial intelligence manner.
6. The method according to any one of claims 1 to 5, It is characterized in that The method further comprises at least one of the following: Sending a second set to the network device; wherein the second set is a set of functions supported by the terminal, and the second set includes the first set; Receive a second set sent by the network device; wherein the second set is a set of functions supported by the terminal, and the second set includes the first set.
7. An operation processing method, It is characterized in that include: In response to reconfiguring the first parameter, determining an association result; wherein the association result is used to determine at least one of the following: whether the reconfigured first parameter is associated with a first function, where the first function is a function currently used by the terminal; whether the reconfigured first parameter is associated with a second function in a first set, where the first set is a set of functions supported by the terminal; Based on the association result and the reconfigured first parameter, a second operation is performed.
8. The method according to claim 7, It is characterized in that The performing a second operation based on the association result and the reconfigured first parameter includes: The association result determines that the reconfigured first parameter is associated with the first function, the first function continues to be used, and the second operation is performed based on the reconfigured first parameter.
9. The method according to claim 7, It is characterized in that The performing a second operation based on the association result and the reconfigured first parameter includes: The association result determines that the reconfigured first parameter is not associated with the first function, stops using the first function, and stops using a first artificial intelligence feature corresponding to the first function; and The second operation is performed based on the reconfigured first parameter in a non-artificial intelligence manner.
10. The method according to claim 7, It is characterized in that The performing a second operation based on the association result and the reconfigured first parameter includes: The association result determines that the reconfigured first parameter is not associated with the first function, but the reconfigured first parameter is associated with the second function, and the second operation is performed based on the reconfigured first parameter using the second function.
11. The method according to claim 7, It is characterized in that The performing a second operation based on the association result and the reconfigured first parameter includes: The association result determines that the reconfigured first parameter is not associated with the first function, and the reconfigured first parameter is not associated with any of the second functions in the first set, stops using the first function, and stops using the first artificial intelligence feature corresponding to the first function; and The second operation is performed based on the reconfigured first parameter in a non-artificial intelligence manner.
12. The method according to any one of claims 7 to 11, It is characterized in that The method further comprises at least one of the following: receiving a second set sent by a terminal; wherein the second set is a set of functions supported by the terminal, and the second set includes the first set; A second set is sent to the terminal; wherein the second set is a set of one or more functions supported by the terminal, and the second set includes the first set.
13. A terminal, It is characterized in that include: The processing module is configured to determine an association result in response to the network device reconfiguring the first parameter; wherein the association result is used to determine at least one of the following: whether the reconfigured first parameter is associated with a first function, where the first function is a function currently used by the terminal; whether the reconfigured first parameter is associated with a second function in a first set, where the first set is a set of functions supported by the terminal; The processing module is further configured to perform a first operation based on the association result and the reconfigured first parameter.
14. A network device, It is characterized in that include: The processing module is configured to determine an association result in response to reconfiguring the first parameter; wherein the association result is used to determine at least one of the following: whether the reconfigured first parameter is associated with a first function, where the first function is a function currently used by the terminal; whether the reconfigured first parameter is associated with a second function in a first set, where the first set is a set of functions supported by the terminal; The processing module is further configured to perform a second operation based on the association result and the reconfigured first parameter.
15. A terminal, It is characterized in that include: one or more processors; The terminal is used to execute the operation processing method described in any one of claims 1 to 6.
16. A network device, It is characterized in that include: one or more processors; Wherein, the network device is used to execute the method of operation processing behavior described in any one of claims 7-12.
17. A communication system, It is characterized in that It comprises a terminal and a network device, wherein the terminal is configured to implement the operation processing method according to any one of claims 1 to 6, and the network device is configured to implement the operation processing method according to any one of claims 7 to 12.
18. A storage medium storing instructions, It is characterized in that When the instruction is executed on the communication device, the communication device is caused to execute the operation processing method according to any one of claims 1-6 or 7-12.