WO2025054833A1 - 通信方法、终端、网络设备、通信系统及存储介质 - Google Patents

通信方法、终端、网络设备、通信系统及存储介质 Download PDF

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Publication number
WO2025054833A1
WO2025054833A1 PCT/CN2023/118387 CN2023118387W WO2025054833A1 WO 2025054833 A1 WO2025054833 A1 WO 2025054833A1 CN 2023118387 W CN2023118387 W CN 2023118387W WO 2025054833 A1 WO2025054833 A1 WO 2025054833A1
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Prior art keywords
terminal
indication information
network device
model
function
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PCT/CN2023/118387
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English (en)
French (fr)
Inventor
杨星
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Beijing Xiaomi Mobile Software Co Ltd
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Beijing Xiaomi Mobile Software Co Ltd
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Priority to PCT/CN2023/118387 priority Critical patent/WO2025054833A1/zh
Priority to CN202380083064.XA priority patent/CN120303964A/zh
Publication of WO2025054833A1 publication Critical patent/WO2025054833A1/zh
Anticipated expiration legal-status Critical
Pending legal-status Critical Current

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W8/00—Network data management
    • H04W8/22—Processing or transfer of terminal data, e.g. status or physical capabilities
    • H04W8/24—Transfer of terminal data

Definitions

  • the present disclosure relates to the field of communication technology, and in particular to a communication method, a terminal, a network device, a communication system and a storage medium.
  • Machine learning algorithms are one of the important methods to implement artificial intelligence (AI) technology.
  • Machine learning algorithms require a large amount of training data to train models, and the trained models can predict events.
  • models trained based on machine learning technology can obtain very accurate prediction results.
  • models can also be used for prediction and reasoning, thereby improving the performance of communication systems. Due to the limited computing power and storage resources of terminals, terminals may only support specific AI models or AI functions.
  • the embodiments of the present disclosure provide a communication method, a terminal, a network device, a communication system and a storage medium.
  • a communication method comprising:
  • the terminal determines that the capability of the terminal related to artificial intelligence AI has changed, and sends first indication information to the network device, where the first indication information is used to indicate that the capability of the terminal related to AI has changed.
  • a communication method comprising:
  • the network device receives first indication information sent by the terminal, where the first indication information is used to indicate that a capability of the terminal related to artificial intelligence AI has changed; and determines the changed terminal capability according to the first indication information.
  • a terminal including:
  • the transceiver module is used to determine that the capabilities of the terminal related to artificial intelligence AI have changed, and send first indication information to the network device, where the first indication information is used to indicate that the capabilities of the terminal related to AI have changed.
  • a network device including:
  • a transceiver module used to receive first indication information sent by a terminal, where the first indication information is used to indicate that a capability of the terminal related to artificial intelligence AI has changed;
  • a processing module is used to determine the changed terminal capability according to the first indication information.
  • a terminal comprising: one or more processors; a memory coupled to the processor, wherein executable instructions are stored in the memory, and when the executable instructions are executed by the processor, the terminal executes the communication method described in the first aspect.
  • a network device comprising: one or more processors; a memory coupled to the processor, wherein executable instructions are stored in the memory, and when the executable instructions are executed by the processor, the network device executes the communication method described in the second aspect.
  • a communication system including a terminal and a network device, wherein the terminal is configured to implement the communication method described in the first aspect, and the network device is configured to implement the communication method described in the second aspect.
  • a storage medium stores instructions, and when the instructions are executed on a communication device, the communication device executes the communication method described in the first aspect or the second aspect.
  • the terminal sends first indication information to the network device when its AI-related capabilities change, so that the network device can determine the changed terminal capabilities based on the first indication information, and then the network device can accurately and effectively manage the terminal based on the accurate terminal capabilities.
  • FIG1 is a schematic diagram of an architecture of a communication system according to an embodiment of the present disclosure.
  • FIG. 2 is an exemplary interaction diagram of a communication method provided according to an embodiment of the present disclosure.
  • FIG. 3 is an exemplary interaction diagram showing a communication method according to an embodiment of the present disclosure.
  • FIG4A is a flow chart of a communication method according to an embodiment of the present disclosure.
  • FIG4B is a flow chart of a communication method according to an embodiment of the present disclosure.
  • FIG5A is a flow chart of a communication method according to an embodiment of the present disclosure.
  • FIG5B is a flow chart of a communication method according to an embodiment of the present disclosure.
  • FIG6A is a flow chart of a communication method according to an embodiment of the present disclosure.
  • FIG6B is a flow chart of a communication method according to an embodiment of the present disclosure.
  • FIG6C is an interactive schematic diagram of a communication method according to an embodiment of the present disclosure.
  • FIG. 7A is a schematic diagram of the structure of a terminal proposed in an embodiment of the present disclosure.
  • FIG. 7B is a schematic diagram of the structure of a network device proposed in an embodiment of the present disclosure.
  • FIG8A is a schematic diagram of the structure of a communication device proposed in an embodiment of the present disclosure.
  • FIG8B is a schematic diagram of the structure of a chip proposed in an embodiment of the present disclosure.
  • the embodiments of the present disclosure provide a communication method, a terminal, a network device, a communication system and a storage medium.
  • an embodiment of the present disclosure provides a communication method, the method comprising:
  • the terminal determines that the capability of the terminal related to artificial intelligence AI has changed, and sends first indication information to the network device, where the first indication information is used to indicate that the capability of the terminal related to AI has changed.
  • the terminal sends the first indication information to the network device when the capability is changed, so that the network device can
  • the changed terminal capability is determined based on the first indication information, so that the network device can accurately and effectively manage the terminal based on the accurate terminal capability.
  • This method can avoid the network device configuring or indicating the terminal that does not match its capability based on outdated terminal capabilities, and can avoid the waste of wireless resources caused by the network device sending these configurations or instructions that do not match the terminal capabilities to the terminal.
  • the capability of the terminal includes at least one of the following:
  • the first validity condition being a condition for enabling an AI model
  • the second validity condition supported by the terminal the second validity condition being a condition for enabling the AI function.
  • the capabilities of the terminal are standardized, including which AI models the terminal supports, which AI functions it supports, which first validity conditions it supports, or which second validity conditions it supports. This makes it easier for the network device to configure or call the functions of the terminal according to the capabilities supported by the terminal.
  • the terminal determines that a capability of the terminal related to artificial intelligence AI has changed, including:
  • Determining that at least one of the following conditions is met determines that the capability of the terminal has changed:
  • the method of determining whether the capability of the terminal has been changed is completed.
  • before sending the first indication information to the network device it includes: receiving second indication information sent by the network device, the second indication information is used to instruct the terminal to use a first AI model and/or a first AI function; determining that the terminal does not support the first AI model and/or the terminal does not support the first AI function.
  • the terminal when it determines that it does not support the first AI model and/or the first AI function indicated by the network device, it can send a first indication information to the network device to indicate that the terminal's capabilities have changed. This allows the network device to update the terminal's capability information in a timely manner and make decisions based on the changed terminal capabilities.
  • the network device before sending the first indication information to the network device, it includes: determining that configuration information of an AI model and/or an unsupported AI function that is not supported by the terminal is stored on the terminal.
  • the terminal when the terminal determines that configuration information of unsupported AI models and/or AI functions is stored, it can send first indication information to the network device to indicate that the capabilities of the terminal have changed. This allows the network device to decide in a timely manner whether to instruct the terminal to release the storage resources occupied by these configuration information based on the capabilities of the terminal.
  • the network device before sending the first indication information to the network device, it includes: determining that the AI model corresponding to the changed capability includes a preset AI model, and/or determining that the AI function corresponding to the changed capability includes a preset AI function.
  • a preset AI model and/or preset AI function may be preconfigured, and the terminal may monitor whether it supports the preset AI model and/or the preset AI function.
  • a first indication message may be sent to the network device. This method can flexibly monitor the terminal's capability for the preset AI model and/or preset AI function according to demand, avoiding waste of resources caused by monitoring all capabilities of the terminal.
  • the preset AI model and/or the preset AI function is configured by the network device.
  • the preset AI model and/or preset AI function can be configured by the network device for the terminal in a personalized and dynamic manner according to needs. This approach is highly flexible and universal.
  • sending the first indication information to the network device includes: the terminal determines that the current time enters the next information sending cycle, and sends the first indication information to the network device.
  • the terminal sends the first indication information according to the information sending period, which can not only avoid the terminal from missing the first indication information but also reduce the pressure of the terminal to send the first indication information, and can also avoid sending the first indication information during network congestion to avoid data loss.
  • the first indication information includes a first model identifier and/or a first function identifier, wherein the first model identifier is used to determine the AI model supported by the terminal, and the first function identifier is used to determine the AI function supported by the terminal.
  • the terminal can report to the network device which AI models and/or AI functions the terminal supports through the first indication information, so that the network device can perform task instructions or configurations on the terminal based on the AI models and/or AI functions supported by the terminal.
  • the first indication information also includes first time information, wherein the first time information indicates the duration of time that the terminal supports the AI model corresponding to the first model identifier, and/or indicates the duration of time that the terminal supports the AI function corresponding to the first function identifier.
  • the terminal can indicate to the network device through the first indication information the duration of the terminal's support for the AI model and/or AI function, so that the network device can instruct the terminal to use the AI model and/or AI function during the period when the terminal supports the AI model and/or AI function, and not instruct the terminal to use the AI model and/or AI function during the period when the terminal does not support the AI model and/or AI function, thereby enabling the network device to accurately manage the terminal in the time dimension.
  • the first indication information includes a second model identifier and/or a second function identifier, wherein the second model identifier is used to determine the AI model not supported by the terminal, and the second function identifier is used to determine the AI function not supported by the terminal.
  • the terminal can report to the network device through the first indication information which AI models and/or AI functions the terminal does not support, so that the network device can perform task instructions or configurations on the terminal based on the AI models and/or AI functions that the terminal does not support.
  • the first indication information also includes second time information, wherein the second time information indicates the duration of time that the terminal does not support the AI model corresponding to the second model identifier, and/or indicates the duration of time that the terminal does not support the AI function corresponding to the second function identifier.
  • the terminal can indicate to the network device through the first indication information the duration for which the terminal does not support the AI model and/or AI function, so that the network device can instruct the terminal to use the AI model and/or AI function during the period when the terminal supports the AI model and/or AI function, and not instruct the terminal to use the AI model and/or AI function during the period when the terminal does not support the AI model and/or AI function, thereby enabling the network device to accurately manage the terminal in the time dimension.
  • the first indication information includes an indication information sequence number
  • the indication information sequence number is used by the network device to determine the third indication information sent by the terminal to the network device before sending the first indication information, and is used by the network device to determine that the terminal no longer supports the AI model and/or AI function indicated as supported in the third indication information.
  • the terminal can report to the network device which AI models that were once reported to be supported and/or which AI functions that were once reported to be supported that the terminal no longer supports by carrying the indication information sequence number in the first indication information, so that the network device can update the terminal's capability information.
  • the first indication information also includes third time information, wherein the third time information is used to indicate the duration for which the terminal does not support the AI model and/or AI function indicated as supported in the third indication information.
  • the terminal can indicate to the network device through the first indication information the duration for which the terminal does not support the AI model and/or AI function, so that the network device can instruct the terminal to use the AI model and/or AI function during the period when the terminal supports the AI model and/or AI function, and not instruct the terminal to use the AI model and/or AI function during the period when the terminal does not support the AI model and/or AI function, thereby enabling the network device to accurately manage the terminal in the time dimension.
  • an embodiment of the present disclosure proposes a communication method, which includes: a network device receives first indication information sent by a terminal, the first indication information is used to indicate that a capability of the terminal related to artificial intelligence AI has changed; and determines the changed terminal capability based on the first indication information.
  • the method further includes: sending a task indication to the terminal according to the changed terminal capability.
  • the capability of the terminal includes at least one of the following:
  • the first validity condition being a condition for enabling an AI model
  • the second validity condition supported by the terminal the second validity condition being a condition for enabling the AI function.
  • the terminal determines that the capability of the terminal has changed by determining that at least one of the following conditions is met:
  • the first indication information is sent by the terminal to the network device when it is determined that the first AI model and/or the first AI function indicated by the network device for use is not supported;
  • the network device Before the network device receives the first indication information sent by the terminal, it includes: the network device sends second indication information to the terminal, where the second indication information is used to instruct the terminal to use the first AI model and/or the first AI function.
  • the first indication information is sent by the terminal to the network device when it is determined that configuration information of an AI model and/or an unsupported AI function is stored on the terminal.
  • the first indication information is sent by the terminal to the network device when it is determined that the AI model corresponding to the changed capability includes a preset AI model, and/or when it is determined that the AI function corresponding to the changed capability includes a preset AI function.
  • the method further includes: the network device configuring the preset AI model and/or the preset AI function for the terminal.
  • the first indication information is sent by the terminal to the network device when it is determined that the current time enters the next information sending cycle.
  • the first indication information includes a first model identifier and/or a first function identifier
  • the determining, according to the first indication information, the changed capability of the terminal includes:
  • the first indication information further includes first time information
  • determining the changed capability of the terminal according to the first indication information further includes:
  • the first indication information includes a second model identifier and/or a second function identifier
  • the determining, according to the first indication information, the changed capability of the terminal includes:
  • the first indication information further includes second time information
  • the determining the changed capability of the terminal according to the first indication information further includes:
  • the first indication information includes an indication information sequence number
  • the determining, according to the first indication information, the changed capability of the terminal includes:
  • the first indication information further includes third time information
  • the determining the changed capability of the terminal according to the first indication information further includes:
  • an embodiment of the present disclosure proposes a terminal, which includes at least one of a transceiver module and a processing module; wherein the terminal is used to execute an optional implementation method of the first aspect.
  • an embodiment of the present disclosure proposes a network device, which includes at least one of a transceiver module and a processing module; wherein the network device is used to execute the optional implementation method of the second aspect.
  • an embodiment of the present disclosure proposes a terminal, comprising: one or more processors; wherein the terminal is used to execute the optional implementation method of the first aspect.
  • an embodiment of the present disclosure proposes a network device, comprising: one or more processors; wherein the network device is used to execute the optional implementation method of the second aspect.
  • an embodiment of the present disclosure proposes a communication system, which includes: a terminal and a network device; wherein the terminal is configured to execute the method described in the optional implementation manner of the first aspect, and the network device is configured to execute the method described in the optional implementation manner of the second aspect.
  • an embodiment of the present disclosure proposes a storage medium, wherein the storage medium stores instructions.
  • the instructions When the instructions are executed on a communication device, the communication device executes the method described in the optional implementation of the first and second aspects.
  • an embodiment of the present disclosure proposes a program product.
  • the communication device executes the method described in the optional implementation of the first and second aspects.
  • an embodiment of the present disclosure proposes a computer program, which, when executed on a computer, enables the computer to execute the method described in the optional implementation of the first and second aspects.
  • an embodiment of the present disclosure provides a chip or a chip system, wherein the chip or the chip system includes a processing circuit configured to execute the method described in the optional implementation of the first aspect and the second aspect.
  • the embodiments of the present disclosure provide a communication method, a terminal, a network device, a communication system, and a storage medium.
  • the terms communication method, information processing method, capability reporting method, method for notifying capability changes, etc. can be interchangeable, and the terms communication system, information processing system, capability reporting system, system for notifying capability changes, etc. can be interchangeable.
  • each step in a certain embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined.
  • 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.
  • 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.
  • elements expressed in the singular form such as “a”, “an”, “the”, “above”, “said”, “aforementioned”, “this”, etc., may mean “one and only one", or “one or more”, “at least one”, etc.
  • the noun after the article may be understood as a singular expression or a plural expression.
  • plurality refers to two or more.
  • "at least one of A and B", “A and/or B", “A in one case, B in another case”, “in response to one case A, in response to another case B”, etc. may include the following technical solutions according to 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); in some embodiments, A and B (both A and B are executed). When there are more branches such as A, B, C, etc., the above is also similar.
  • the recording method of "A or B” may include the following technical solutions according to 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).
  • A A is executed independently of B
  • B B is executed independently of A
  • execution is selected from A and B (A and B are selectively executed).
  • 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 restrictions on the position, order, priority, quantity or content of the description objects.
  • the description object please refer to the description in the context of the claims or embodiments, and no unnecessary restrictions should be imposed due to the use of prefixes.
  • 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”.
  • the description object is "level”
  • the ordinal number before the “level” in “first level” and “second level” does not limit the priority between the “levels”.
  • the number of description objects is not limited by ordinal numbers and can be one or more. Take “first device” as an example, where the number of "devices" can be one or more.
  • the objects modified by different prefixes can be the same or different.
  • the description object is "device”
  • the “first device” and the “second device” can be the same device or different devices, and their types can be the same or different.
  • the description object is “information”
  • the “first information” and the “second information” can be the same information or different information, and their contents can be the same or different.
  • “including A”, “comprising A”, “used to indicate A”, and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.
  • terms such as “greater than”, “greater than or equal to”, “not less than”, “more than”, “more than or equal to”, “not less than”, “higher than”, “higher than or equal to”, “not lower than”, and “above” can be replaced with each other, and terms such as “less than”, “less than or equal to”, “not greater than”, “less than”, “less than or equal to”, “no more than”, “lower than”, “lower than or equal to”, “not higher than”, and “below” can be replaced with each other.
  • devices, etc. can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments.
  • Terms such as “device”, “equipment”, “device”, “circuit”, “network element”, “node”, “function”, “unit”, “section”, “system”, “network”, “chip”, “chip system”, “entity”, and “subject” can be used interchangeably.
  • network may be interpreted as devices included in the network (eg, access network equipment, core network equipment, etc.).
  • terminal refers to any terminal, “terminal device”, “user equipment (UE)”, “user terminal”, “mobile station (MS)”, “mobile terminal (MT)”, subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, The terms remote terminal, handset, user agent, mobile client, and client are used interchangeably.
  • the access network device, the core network device, or the network device can be replaced by a terminal.
  • the various embodiments of the present disclosure can also be applied to a structure in which the communication between the access network device, the core network device, or the network device and the terminal is replaced by the communication between multiple terminals (for example, device-to-device (D2D), vehicle-to-everything (V2X), etc.).
  • D2D device-to-device
  • V2X vehicle-to-everything
  • it can also be set as a structure in which the terminal has all or part of the functions of the access network device.
  • terms such as "uplink” and “downlink” can also be replaced by terms corresponding to communication between terminals (for example, "side”).
  • uplink channels, downlink channels, etc. can be replaced by side channels
  • uplinks, downlinks, etc. can be replaced by side links.
  • the terminal may be replaced by an access network device, a core network device, or a network device.
  • the access network device, the core network device, or the network device may also be configured to have a structure that has all or part of the functions of the terminal.
  • the acquisition of data, information, etc. may comply with the laws and regulations of the country where the data is obtained.
  • data, information, etc. may be obtained with the user's consent.
  • each element, each row, or each column in the table of the embodiments of the present disclosure may be implemented as an independent embodiment, and the combination of any elements, any rows, or any columns may also be implemented as an independent embodiment.
  • FIG1 is a schematic diagram of an architecture of a communication system according to an embodiment of the present disclosure.
  • the communication system 100 may include a terminal 101 and a network device 102 .
  • 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 (Pad), 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 (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 (smart grid), a wireless terminal device in transportation safety (transportation safety), a wireless terminal device in a smart city (smart city), and at least one of a wireless terminal device in a smart home (smart home), but is not limited to these.
  • a mobile phone a wearable device, an Internet of Things device, a car with communication function, a smart car, a tablet computer (Pad), a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal
  • the network device 102 may include at least one of an access network device and a core network device.
  • the access network device is, for example, a node or device that accesses a terminal to a wireless network.
  • the access network device may include an evolved Node B (eNB), a next generation evolved Node B (ng-eNB), a next generation Node B (gNB), a node B (NB), a home node B (HNB), a home evolved node B (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a baseband 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.
  • eNB evolved Node B
  • ng-eNB next generation evolved Node B
  • gNB next generation Node B
  • NB node
  • the network device 102 is a base station.
  • the base station is, for example, a macro base station, a micro base station (also called a small station), Relay stations, access points, 5G base stations or future base stations, satellites, transmission points (Transmitting and Receiving Point, TRP), transmission points (Transmitting Point, TP), mobile switching centers or other devices that assume the function of base stations in the communication system, etc., are not specifically limited in the embodiments of the present disclosure.
  • the devices that provide wireless communication functions for terminal devices are collectively referred to as network devices or base stations.
  • the network device 102 is a core network device.
  • the core network device can be a device, including a first network element, a second network element, etc., or a plurality of devices or a group of devices, including all or part of the first network element, the second network element, etc.
  • the network element can be virtual or physical.
  • the core network includes, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), and a Next Generation Core (NGC).
  • EPC Evolved Packet Core
  • 5GCN 5G Core Network
  • NGC Next Generation Core
  • the technical solution of the present disclosure may be applicable to the Open RAN architecture.
  • the interfaces between access network devices or within access network devices involved in the embodiments of the present disclosure may become internal interfaces of Open RAN, and the processes and information interactions between these internal interfaces may be implemented through software or programs.
  • the access network device may be composed of a centralized unit (central unit, CU) and a distributed unit (distributed unit, DU), wherein the CU may also be called a control unit (control unit).
  • the CU-DU structure may be used to split the protocol layer of the access network device, with some functions of the protocol layer being centrally controlled by the CU, and the remaining part or all of the functions of the protocol layer being distributed in the DU, and the DU being centrally controlled by the CU, but not limited to this.
  • 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.
  • a person skilled in the art 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.
  • the following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG1 , or part of the subject, but are not limited thereto.
  • the subjects shown in FIG1 are examples, and the communication system may include all or part of the subjects in FIG1 , or may include other subjects other than FIG1 , and the number and form of the subjects are arbitrary, and the subjects may be physical or virtual, and the connection relationship between the subjects is an example, and the subjects may be connected or disconnected, and the connection may be in any manner, and may be a direct connection or an indirect connection, and may be a wired connection or a wireless connection.
  • LTE Long Term Evolution
  • LTE-A LTE-Advanced
  • SUPER 3G IMT-Advanced
  • 4th generation mobile communication system 4th generation mobile communication system
  • 5G 5th generation mobile communication system
  • 5G new radio NR
  • future radio access FX
  • new radio access technology RAT
  • new radio NR
  • new radio access NX
  • future generation radio access FX
  • GSM Global System for Mobile communications
  • GSM registered trademark
  • CDMA2000 Code Division Mobile Broadband
  • UMB Ultra Mobile Broadband
  • IEEE 802.11 Wi-Fi (registered trademark)
  • IEEE 802.16 WiMAX (registered trademark)
  • IEEE 802.20 Ultra-WideBand (UWB), Bluetooth (registered trademark)
  • Public Land Mobile Network PLMN
  • D2D Device-to-Device
  • M2M Machine-to-Machine
  • IoT Internet of Things
  • IoT Internet of Things
  • the embodiments of the present disclosure provide a communication method, a terminal, a network device, a communication system and a storage medium, so that the terminal can report the capability change to the network device when the capability changes, so that the network device can promptly learn the changed terminal capabilities, and then the network device can accurately and effectively manage the terminal based on the changed and latest terminal capabilities.
  • the network needs to know the capabilities of the UE so as to subsequently configure the UE with functions and features that the UE can support.
  • the UE may send capability information to the network in the manner shown in the flowchart of FIG2.
  • the network sends a UE capability request (e.g., UECapabilityEnquiry signaling) to the UE, which may indicate the type of access technology, including NR, eutra, eutra-NR. It may also indicate a frequency band or a frequency band combination.
  • the UE reports the capability corresponding to the access technology type and frequency band/frequency band combination in the UE capability information (e.g., UECapabilityInformation signaling).
  • machine learning algorithms are one of the most important implementation methods of artificial intelligence technology at present.
  • Machine learning can obtain models through a large amount of training data, and events can be predicted through the models. In many fields, the models obtained by machine learning training can obtain very accurate prediction results. Therefore, in some embodiments of the present disclosure, the UE can use AI for prediction and reasoning to improve the performance of the system. For example, since the UE can reduce the number of measured beams during the beam management process, in some embodiments, the UE or the base station can predict the optimal number of beams and specific beams through AI reasoning.
  • the AI model can be used to predict whether to adjust the beam pair between the network and the UE based on environmental information. For example, since a suitable uplink transmit beam can be selected for the terminal and a suitable uplink receive beam can be selected for the network during the beam adjustment process, in some embodiments, the UE can predict a suitable beam pair through the AI model. For example, since a suitable downlink transmit beam can be selected for the base station and a suitable downlink receive beam can be selected for the UE during the beam adjustment process, in some embodiments, the base station can predict a suitable beam pair through the AI model.
  • the UE can compress the CSI measurement results through AI and report the compressed CSI measurement results to the base station. After receiving the results, the base station restores the original CSI measurement results through AI. This reduces the number of signaling bits required in the reporting process.
  • CSI Channel State Information
  • the network can use AI models to predict resource scheduling, such as predicting which terminals to allocate time, frequency, and space resources to improve system resource utilization.
  • the network or terminal can use AI models to predict cell measurement, such as predicting the cell to be measured, predicting the service cell, etc. to improve communication quality.
  • the network can use AI models to predict configuration information for new communication functions. For example, if a new function is introduced into the communication system, and the new function corresponds to a synchronization signal for eliminating the frequency deviation between the network and the terminal, then the corresponding configuration information can be predicted for the synchronization signal.
  • multiple AI models or AI functions may be required for reasoning and prediction.
  • the UE may only support specific AI models or AI functions.
  • the computing power and storage capacity of the UE may change due to changes in user usage. For example, when the terminal runs different software, The computing resources and memory occupied by different software may be different, so the corresponding terminal remaining computing power and remaining memory may be different. For example, when the types and numbers of software installed by the user on the terminal are different, the remaining memory on the terminal may also be different. For example, as the terminal is used for a long time, the remaining power of the terminal will gradually decrease, resulting in changes in the remaining power of the terminal.
  • the network can actively send an indication to the UE to indicate the AI model or AI function that the UE supports.
  • the network can know that the AI capability supported by the UE has changed, avoiding the problem of failure caused by the network instructing the UE to use an AI model or AI function that it does not support.
  • Fig. 3 is an exemplary interaction diagram of a communication method according to an embodiment of the present disclosure. As shown in Fig. 3, an embodiment of the present disclosure relates to a communication method, and the method includes:
  • Step S301 Terminal 101 determines that a capability of terminal 101 has changed, and generates first indication information.
  • the first indication information is used to indicate to the network device that the capability of the terminal has changed.
  • the first indication information is used to indicate to the network device which capabilities are added to the terminal.
  • the first indication information is used to indicate to the network device which capabilities the terminal has removed.
  • the first indication information is used to indicate to the network device the duration for which the terminal has the capability.
  • the first indication information is used to indicate to the network device which capabilities the terminal supports in which time period.
  • the first indication information is used to indicate to the network device which capabilities the terminal does not support within which time period.
  • the name of the first indication information is not limited, and it may be, for example, capability change notification, capability reporting information, etc.
  • the capabilities of the terminal include capabilities related to AI, and the capabilities of the terminal include at least one of the following: an AI model supported by the terminal, an AI function supported by the terminal, a first effectiveness condition supported by the terminal, and a second effectiveness condition supported by the terminal.
  • the first effectiveness condition is a condition for enabling the AI model.
  • the first effectiveness condition may refer to whether the performance of the terminal meets expectations.
  • the performance of the terminal includes but is not limited to computing speed, storage capacity, whether Bluetooth is supported, number of CPU cores, hyperthreading, etc.
  • the AI model can work normally if the terminal supports/satisfies/has the first effectiveness condition.
  • the number of first effectiveness conditions is one or more.
  • an AI model may correspond to one or more first effectiveness conditions.
  • the first effectiveness condition includes that the clock frequency of the CPU of the terminal is greater than a preset frequency threshold.
  • the first effectiveness condition includes that the memory of the terminal is greater than a preset memory threshold.
  • the second validity condition is a condition for enabling the AI function.
  • the second validity condition may refer to whether the performance of the terminal meets expectations.
  • the performance of the terminal includes but is not limited to computing speed, storage capacity, whether Bluetooth is supported, number of CPU cores, hyperthreading, etc. If the terminal supports/satisfies/has the second validity condition, the AI function can be used normally.
  • the number of second validity conditions is one or more.
  • an AI function may correspond to one or more second validity conditions.
  • the second validity condition includes that the hard disk read and write speed of the terminal is greater than a preset speed threshold.
  • the second validity condition includes that the remaining power of the terminal is greater than a preset power threshold.
  • whether the terminal supports a certain AI model/AI function is related to the performance of the terminal. For example, a certain AI model/AI function requires that the clock frequency of the terminal CPU is greater than a preset frequency threshold. In some embodiments, whether the terminal supports a certain AI model/AI function is related to the environment in which the terminal is located. For example, a certain AI model/AI function requires that the service cell of the terminal is a preset cell. For example, the AI model/AI function requires that the geographical location of the terminal is a preset location.
  • the capabilities of the terminal include whether the terminal supports AI models, and which AI models the terminal supports.
  • the capabilities of the terminal include whether the terminal supports AI functions, and which AI functions the terminal supports.
  • the capability of the terminal includes whether the terminal supports the first validation condition, and which first validation conditions the terminal supports.
  • the capability of the terminal includes whether the terminal supports the second validation condition, and which second validation conditions the terminal supports.
  • the terminal may support one or more AI models. Different AI models may have different model structures and/or different AI functions. For example, each AI model supported by the terminal may have the same, similar or completely different model structures.
  • the model structure includes, but is not limited to, a model architecture based on a convolutional neural network CNN, a model architecture based on a recursive neural network RNN, a model architecture based on a generative adversarial network GANs, a model architecture based on an attention mechanism, and the like.
  • each AI model supported by the terminal may have the same, similar or completely different AI functions.
  • AI models include, but are not limited to, a model for predicting positioning, a model for predicting a serving cell, a model for predicting a cell to be measured, a model for predicting a resource scheduling strategy, a model for predicting a beam, a model for predicting transmit power, and the like.
  • the terminal may support one or more AI functions.
  • Each AI function may be different.
  • An AI function may be implemented by an AI model, or an AI function may be implemented by multiple AI models in collaboration.
  • AI functions include but are not limited to predicting beams, predicting resource scheduling strategies, predicting serving cells, predicting transmit power, etc.
  • the performance of the terminal may change, and in the case where the performance of the terminal changes, the capabilities of the terminal may change.
  • the implementation method of the terminal determining whether the capabilities of the terminal have changed may be: determining whether the AI model supported by the terminal has changed.
  • determine whether the terminal supports a new AI model If it is determined that the terminal supports a new AI model, it can be determined that the AI model supported by the terminal has changed, and it is determined that the capabilities of the terminal have changed.
  • the terminal no longer supports the AI model that was once supported it can be determined that the AI model supported by the terminal has changed, and it is determined that the capabilities of the terminal have changed. It should be explained that the terminal no longer supports the AI model that was once supported, which means that the terminal does not support the AI model supported in the previous period/time in the current period/time.
  • the implementation method of the terminal determining whether the capability of the terminal has changed may be: determining whether the AI function supported by the terminal has changed.
  • determining whether the terminal supports a new AI function If it is determined that the terminal supports a new AI function, it can be determined that the AI function supported by the terminal has changed, and it can be determined that the capability of the terminal has changed.
  • the terminal determines whether the capability of the terminal has changed by: determining whether the first effective condition supported by the terminal has changed. Optionally, determining whether the terminal supports a new first effective condition. If it is determined that the terminal supports the new first effective condition, it can be determined that the first effective condition supported by the terminal has changed, and that the capability of the terminal has changed. Optionally, determining whether the terminal supports the new first effective condition Whether the terminal no longer supports the first validation condition that was once supported. If it is determined that the terminal no longer supports the first validation condition that was once supported, it can be determined that the first validation condition supported by the terminal has changed, and it can be determined that the capability of the terminal has changed.
  • the clock frequency of the CPU of the terminal is less than or equal to a preset frequency threshold
  • the remaining memory of the terminal is less than or equal to a preset memory threshold
  • the implementation method of the terminal determining whether the terminal's capabilities have changed may be: determining whether the second effective condition supported by the terminal has changed. Optionally, determine whether the terminal supports a new second effective condition. If it is determined that the terminal supports the new second effective condition, it can be determined that the second effective condition supported by the terminal has changed, and determine that the terminal's capabilities have changed. Optionally, determine whether the terminal no longer supports the second effective condition that was once supported. If it is determined that the terminal no longer supports the second effective condition that was once supported, it can be determined that the second effective condition supported by the terminal has changed, and determine that the terminal's capabilities have changed.
  • the terminal's capabilities related to AI when it is detected that the hard disk read and write speed of the terminal is less than or equal to a preset speed threshold, it is determined that the terminal's capabilities related to AI have changed. In some embodiments, when it is detected that the remaining power of the terminal is less than or equal to a preset power threshold, it is determined that the terminal's capabilities related to AI have changed.
  • the implementation method of the terminal determining whether the terminal's capabilities have changed may be: the terminal determines whether multiple of the following conditions are met: the terminal supports a new AI model, the terminal supports a new AI function, the terminal no longer supports an AI model that was once supported, the terminal no longer supports an AI function that was once supported, the first effective condition supported by the terminal has changed, and the second effective condition supported by the terminal has changed.
  • the terminal can determine that the terminal's capabilities have changed if it determines that multiple of the above conditions are met. Accordingly, the terminal can determine that the terminal's capabilities have not changed if it determines that all of the above conditions are not met.
  • the terminal determines whether the capability of the terminal has changed by: the terminal determines whether the time when the terminal has the capability has changed. Optionally, if it is determined that the time when the terminal has the capability has changed, it can be determined that the capability of the terminal has changed.
  • Step S302 Terminal 101 determines whether a condition for sending the first indication information is met.
  • the terminal before sending the first indication information, the terminal may first determine whether the sending condition of the first indication information is met. The terminal decides whether to send the first indication information according to the determination result.
  • the sending condition of the first indication information may be: the terminal receives the second indication information sent by the network device, and the second indication information is used to instruct the terminal to use the first AI model and/or the first AI function. In addition, the terminal determines that the terminal does not support the first AI model and/or the terminal does not support the first AI function.
  • the name of the second indication information is not limited, and it can be, for example, task indication information, scheduling instructions, etc.
  • the network device may instruct the terminal to use the first AI model and/or the first AI function.
  • the network device may instruct the terminal to activate/switch the first AI model or the first AI function. If the terminal determines that the first AI model is not supported and/or the terminal does not support the first AI function, it may be determined that the sending condition of the first indication information is met.
  • the condition for sending the first indication information may be: the terminal determines that configuration information of an AI model that is not supported by the terminal is stored on the terminal, and/or the terminal determines that configuration information of an unsupported AI function is stored on the terminal.
  • the sending condition of the first indication information may be: the terminal determines that the AI model corresponding to the changed capability includes a preset AI model, and/or determines that the AI function corresponding to the changed capability includes a preset AI function. For example, when the terminal determines that the capability for the preset AI model has changed, it can determine that the sending condition of the first indication information is met. For another example, when the terminal determines that the capability for the preset AI function has changed, it can determine that the sending condition of the first indication information is met.
  • the preset AI model and/or preset AI function may be configured by the network device.
  • the network device sends indication information for indicating the preset AI model and/or preset AI function to the terminal.
  • the terminal receives the indication information to learn the preset AI model and/or preset AI function.
  • the preset AI model and/or preset AI function may be pre-configured on the terminal.
  • the preset AI model and/or preset AI function may be specified by the protocol.
  • the sending condition of the first indication information may be: the terminal determines that the current time enters the next information sending cycle. For example, when the terminal determines that the current time enters the next information sending cycle, it may determine that the sending condition of the first indication information is met.
  • the terminal may determine that the sending condition of the first indication information is met when determining that multiple conditions among the following conditions are met:
  • Condition 1 receiving the second indication information sent by the network device, and determining that the terminal does not support the first AI model and/or the first AI function indicated in the second indication information.
  • Condition 2 The terminal stores configuration information of an AI model and/or an AI function that the terminal does not support.
  • Condition 3 The terminal's capabilities for the preset AI model and/or preset AI function have changed.
  • Condition 4 The current time enters the next information sending cycle.
  • Step S303 the terminal 101 sends first indication information to the network device 102 .
  • the network device 102 receives first indication information sent by the terminal 101 .
  • the first indication information may be carried in an RRC signaling sent by the terminal to the network device, and the RRC signaling may be a UECapabilityInformation signaling.
  • the terminal sends a UECapabilityInformation signaling, and the UECapabilityInformation signaling includes the first indication information.
  • the network device receives the UECapabilityInformation signaling to obtain the first indication information.
  • the first indication information is used by the network device to determine which AI models and/or AI functions the terminal supports.
  • the first indication information includes a first model identifier and/or a first function identifier.
  • the first model identifier is used to determine the AI model supported by the terminal
  • the first function identifier is used to determine the AI function supported by the terminal.
  • the first indication information is used by the network device to determine which AI models and/or AI functions are not supported by the terminal.
  • the first indication information includes a second model identifier and/or a second function identifier.
  • the second model identifier is used to determine the AI model that is not supported by the terminal
  • the second function identifier is used to determine the AI function that is not supported by the terminal.
  • the first indication information is used by the network device to determine which AI models, AI functions, AI models, or AI functions the terminal supports.
  • the first indication information includes at least one of a first model identifier, a first function identifier, a second model identifier, and a second function identifier.
  • the first indication information is used by the network device to determine which AI models and/or AI functions that were once reported to be supported are no longer supported by the terminal.
  • the first indication information includes an indication information sequence number, and the indication information sequence number is used by the network device to determine that the terminal sends a third indication information to the network device before sending the first indication information, and is used by the network device to determine that the terminal no longer supports the AI model and/or AI function indicated to be supported in the third indication information.
  • the third indication information sent by the terminal in the historical time period is used to indicate the AI model and/or AI function supported by the terminal in the historical time period.
  • the first indication information corresponds to an indication information sequence number, and the indication information sequence number is used to uniquely identify a first indication information.
  • the third indication information is the historical first indication information.
  • the name of the third indication information is not limited, and it is, for example, a capability change notification, capability reporting information, etc.
  • the first indication information is used to indicate the time when the network device has the capability.
  • the first indication information includes at least one of first time information, second time information, and third time information.
  • the first time information indicates the time during which the terminal supports the AI model corresponding to the first model identifier.
  • the first time information indicates the remaining duration of the terminal supporting the AI model corresponding to the first model identifier.
  • the first time information indicates the time during which the terminal supports the AI function corresponding to the first function identifier.
  • the first time information indicates the remaining duration of the terminal supporting the AI function corresponding to the first function identifier.
  • the second time information indicates the time when the terminal does not support the AI model corresponding to the second model identifier.
  • the second time information indicates the remaining duration of the AI model corresponding to the second model identifier that the terminal does not support.
  • the second time information indicates the time when the terminal does not support the AI function corresponding to the second function identifier.
  • the second time information indicates the remaining duration of the AI function corresponding to the second function identifier that the terminal does not support.
  • the third time information indicates the time when the terminal does not support the AI model indicated as supported in the third indication information.
  • the third time information indicates the remaining duration of the AI model indicated as supported in the third indication information no longer supported by the terminal.
  • the third time information indicates the time when the terminal does not support the AI function indicated as supported in the third indication information.
  • the third time information indicates the remaining duration of the AI function indicated as supported in the third indication information no longer supported by the terminal.
  • Step S304 The network device 102 determines the changed terminal capability according to the first indication information.
  • the network device stores the capability information of the terminal.
  • the network device may update the capability information of the terminal according to the first indication information, thereby obtaining the modified terminal capability.
  • the network device may collect the capabilities of the terminal.
  • the network device may draw a terminal capability iteration map according to the capability change process of the terminal.
  • the network device may collect the capabilities of the terminal and may provide the capability information of the terminal to other entities.
  • the network device may provide the capability iteration map of the terminal to other entities.
  • the network device may provide the latest capability information of the terminal to other entities.
  • Step S305 the network device 102 sends a task instruction to the terminal 101 according to the modified terminal capability.
  • the network device may send a task instruction to the terminal based on the terminal capability.
  • the task instruction includes but is not limited to instructions such as configuring the terminal, scheduling the terminal, enabling terminal functions, and instructing the terminal to delete configuration information.
  • the communication method involved in the embodiment of the present disclosure may include at least one of steps S301 to S305.
  • step S303 may be implemented as an independent embodiment
  • steps S303 and S304 may be implemented as independent embodiments, but are not limited thereto.
  • steps S301 and S302 may be performed in an exchanged order or simultaneously.
  • steps S301, S302, S304, and S305 are optional, and one or more of these steps may be omitted or replaced in different embodiments.
  • steps S301 to S303 and S305 are optional, and one or more of these steps may be omitted or replaced in different embodiments.
  • FIG4A is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG4A , the present disclosure embodiment relates to a communication method, which is executed by a terminal, and the method includes:
  • Step S4101 determine whether the capability of the terminal has changed, and generate first indication information.
  • step S4101 can refer to the optional implementation of step S301 in FIG. 3 and other related parts in the embodiment involved in FIG. 3 , which will not be described in detail here.
  • Step S4102 Obtain second indication information, and determine that the terminal does not support the first AI model and/or first AI function indicated in the second indication information.
  • step S4102 can refer to the optional implementation of step S302 in FIG. 3 and other related parts in the embodiment involved in FIG. 3 , which will not be described in detail here.
  • the terminal 101 receives the second indication information sent by the network device 102, but is not limited thereto, and may also receive the second indication information sent by other entities.
  • the terminal 101 obtains second indication information specified by the protocol.
  • terminal 101 obtains second indication information from an upper layer(s).
  • the terminal 101 performs processing to obtain the second indication information.
  • step S4102 is omitted, and the terminal 101 autonomously implements the function indicated by the second indication information, or the above function is default or acquiescent.
  • the second indication information is used to instruct the terminal 101 to use the first AI model and/or the first AI function.
  • Step S4103 Determine whether the terminal stores configuration information of an AI model and/or an AI function that is not supported by the terminal.
  • step S4103 can refer to the optional implementation of step S302 in FIG. 3 and other related parts in the embodiment involved in FIG. 3 , which will not be described in detail here.
  • Step S4104 determining that the AI model corresponding to the changed capability includes a preset AI model, and/or determining that the AI function corresponding to the changed capability includes a preset AI function.
  • step S4104 can refer to the optional implementation of step S302 in FIG. 3 and other related parts in the embodiment involved in FIG. 3 , which will not be described in detail here.
  • Step S4105 determine the current time to enter the next information sending cycle.
  • step S4105 can refer to the optional implementation of step S302 in FIG. 3 and other related parts in the embodiment involved in FIG. 3 , which will not be described in detail here.
  • Step S4106 sending the first indication information.
  • step S4106 can refer to the optional implementation of step S303 in FIG. 3 and other related parts in the embodiment involved in FIG. 3 , which will not be described in detail here.
  • the terminal 101 sends the first indication information to the network device 102, but is not limited thereto, and the first indication information may also be sent to other entities.
  • the first indication information is used by the network device 102 to execute a process of updating the terminal capability.
  • the network device 102 please refer to the optional implementations of step S304 in FIG3 and other related parts of the embodiment involved in FIG3 , which will not be described in detail here.
  • the communication method involved in the embodiment of the present disclosure may include at least one of steps S4101 to S4106.
  • step S4106 may be implemented as an independent embodiment, and steps S4101 and S4106 may be implemented as independent embodiments, but are not limited thereto.
  • any two steps in steps S4102 to S4105 may be swapped in order or executed simultaneously.
  • steps S4102 to S4105 are optional, and one or more of these steps may be omitted or replaced in different embodiments.
  • FIG4B is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG4B , the present disclosure embodiment relates to a communication method, which is executed by a terminal 101, and the method includes:
  • Step S4201 determine whether the capability of the terminal has changed, and generate first indication information.
  • step S4201 can refer to the optional implementation of step S301 in Figure 3, step S4101 in Figure 4A, and other related parts in the embodiments involved in Figures 3 and 4A, which will not be repeated here.
  • Step S4202 determine whether the conditions for sending the first indication information are met, and send the first indication information.
  • step S4202 can refer to step S302 and step S303 of FIG. 3 , the optional implementation of steps S4102 to S4105 of FIG. 4A , and other related parts in the embodiments involved in FIG. 3 and FIG. 4A , which will not be described in detail here.
  • step S4201 may be implemented as an independent embodiment, but is not limited thereto.
  • step S4201 is optional and may be omitted or replaced in different embodiments.
  • step S4201 may be combined with step S4106 of FIG. 4A
  • step S4201 may be combined with step S4105 and step S4106 of FIG. 4A .
  • FIG5A is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG5A , the present disclosure embodiment relates to a communication method, which is executed by a network device, and the method includes:
  • Step S5101 sending second indication information.
  • step S5101 can refer to the optional implementation of step S302 in FIG. 3 and other related parts in the embodiment involved in FIG. 3 , which will not be described in detail here.
  • Step S5102 obtaining first indication information.
  • step S5102 can refer to the optional implementation of step S303 in FIG. 3 and other related parts in the embodiment involved in FIG. 3 , which will not be described in detail here.
  • the network device 102 receives the first indication information sent by the terminal 101, but is not limited thereto, and may also receive the first indication information sent by other entities.
  • the network device 102 obtains first indication information specified by the protocol.
  • the network device 102 obtains the first indication information from an upper layer(s).
  • the network device 102 performs processing to obtain the first indication information.
  • step S5102 is omitted, and the network device 102 autonomously implements the function indicated by the first indication information, or the above function is default or acquiescent.
  • the first indication information is used to indicate that a capability of the terminal has changed.
  • Step S5103 Determine the capability of the changed terminal according to the first indication information.
  • step S5103 can refer to the optional implementation of step S304 in FIG. 3 and other related parts in the embodiment involved in FIG. 3 , which will not be described in detail here.
  • Step S5104 Send a task instruction to the terminal according to the changed terminal capability.
  • step S5104 can refer to the optional implementation of step S305 in FIG. 3 and other related parts in the embodiment involved in FIG. 3 , which will not be described in detail here.
  • the communication method involved in the embodiment of the present disclosure may include at least one of steps S5101 to S5104.
  • step S5103 may be implemented as an independent embodiment
  • step S5102 and step S5103 may be implemented as independent embodiments, but are not limited thereto.
  • step S5101 and step S5102 may be executed in an interchangeable order or simultaneously.
  • step S5101, step S5103, and step S5104 are optional, and one or more of these steps may be omitted or replaced in different embodiments.
  • FIG5B is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG5B , the present disclosure embodiment relates to a communication method, which is executed by a network device, and the method includes:
  • Step S5201 obtaining first indication information.
  • step S5201 can refer to step S303 of FIG. 3 , the optional implementation of step S5102 of FIG. 5A , and other related parts in the embodiments involved in FIG. 3 and FIG. 5A , which will not be described in detail here.
  • Step S5202 Determine the capability of the changed terminal according to the first indication information.
  • step S5202 can refer to the optional implementation of step S304 in Figure 3, step S5103 in Figure 5A, and other related parts in the embodiments involved in Figures 3 and 5A, which will not be repeated here.
  • step S5201 may be implemented as an independent embodiment, but is not limited to this.
  • step S5202 is optional and may be omitted or replaced in different embodiments.
  • step S5201 may be combined with step S5101 of FIG. 5A
  • step S5202 may be combined with step S5104 of FIG. 5A .
  • FIG6A is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG6A , the present disclosure embodiment relates to a communication method, and the method includes:
  • Step S6101 The terminal determines that an AI-related capability on the terminal has changed, and sends first indication information to a network device, where the first indication information is used to indicate that an AI-related capability on the terminal has changed.
  • step S6101 can refer to step S301 in FIG. 3 , the optional implementation of step S4101 in FIG. 4A , and other related parts in the embodiments involved in FIG. 3 and FIG. 4A , which will not be described in detail here.
  • the above method may include the method described in the above embodiments of the communication system side, terminal side, network device side, etc., which will not be repeated here.
  • FIG6B is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG6B , the present disclosure embodiment relates to a communication method, and the method includes:
  • Step S6201 The network device receives first indication information sent by a terminal, where the first indication information is used to indicate that a capability of the terminal has changed.
  • step S6201 can refer to the optional implementation of step S303 in Figure 3, step S5102 in Figure 5A, and other related parts in the embodiments involved in Figures 3 and 5A, which will not be repeated here.
  • Step S6202 The network device determines the changed terminal capability according to the first indication information.
  • step S6202 can refer to the optional implementation of step S304 in Figure 3, step S5103 in Figure 5A, and other related parts in the embodiments involved in Figures 3 and 5A, which will not be repeated here.
  • Step S6203 The network device sends a task instruction to the terminal according to the modified terminal capability.
  • step S6203 can refer to the optional implementation of step S305 in Figure 3, step S5104 in Figure 5A, and other related parts in the embodiments involved in Figures 3 and 5A, which will not be repeated here.
  • the above method may include the method described in the above embodiments of the communication system side, terminal side, network device side, etc., which will not be repeated here.
  • FIG6C is an interactive schematic diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG6C , the embodiment of the present disclosure relates to a communication method, and the method includes:
  • Step S6301 The terminal determines that the capability of the terminal has changed, and sends first indication information to the network device, where the first indication information is used to indicate that the capability of the terminal has changed.
  • step S6301 can refer to step S301 and step S303 of Figure 3, the optional implementation of step S4101 of Figure 4A, and other related parts in the embodiments involved in Figures 3 and 4A, which will not be repeated here.
  • Step S6302 The network device receives first indication information sent by the terminal.
  • step S6302 can refer to step S303 of FIG. 3 , the optional implementation of step S5102 of FIG. 5A , and other related parts in the embodiments involved in FIG. 3 and FIG. 5A , which will not be described in detail here.
  • Step S6303 The network device determines the changed terminal capability according to the first indication information.
  • step S6303 can refer to step S304 of FIG. 3 , the optional implementation of step S5103 of FIG. 5A , and other related parts in the embodiments involved in FIG. 3 and FIG. 5A , which will not be described in detail here.
  • Step S6304 The network device sends a task instruction to the terminal according to the modified terminal capability.
  • step S6304 can refer to step S305 of FIG. 3 , the optional implementation of step S5104 of FIG. 5A , and other related parts in the embodiments involved in FIG. 3 and FIG. 5A , which will not be described in detail here.
  • the above method may include the method described in the above embodiments of the communication system side, terminal side, network device side, etc., which will not be repeated here.
  • the terminal performs the following processing:
  • Embodiment 1 When the capability of the UE is changed, a first indication is reported to the network to indicate the capability change.
  • the capability may be a supported AI model or a supported AI function.
  • the AI model may be identified by a model ID
  • the AI function may be identified by an AI function ID.
  • the capability change may be to add support for a new capability, or to no longer support a previously supported capability.
  • Embodiment 2 Based on embodiment 1, the first indication indicates a capability that is no longer supported.
  • the capability that is no longer supported is a capability that the UE previously reported and indicated as supported.
  • sequence number of the previously reported capability may be indicated.
  • Embodiment 3 Based on embodiment 1, when the capability of the UE changes and the network instructs the UE to use an unsupported capability, a first indication is sent to the network.
  • the network may instruct the UE to activate or switch the AI model or AI function, but the UE does not support the indicated AI model or AI function.
  • Embodiment 4 Based on embodiment 1, when the capability of the UE changes and the UE stores an unsupported capability configuration, a first indication is sent to the network.
  • the UE may store multiple AI models, and changes in the UE's capabilities may cause the UE to not support some of the stored AI models.
  • Embodiment 5 Based on embodiment 1, when the capability of the UE is changed, the UE waits for the next period and reports the first indication to the network. The period is configured by the network.
  • the first indication is not reported when the period arrives.
  • Embodiment 6 Based on embodiment 1, when a specific capability of the UE is changed, a first indication is reported to the network. The specific capability is indicated by the network.
  • Embodiment 7 Based on embodiment 1, the first indication may carry time information, where the time information indicates the duration of the capability change, after which the currently supported capability is restored.
  • the time information may be a duration or UTC time.
  • part or all of the steps and their optional implementations may be arbitrarily combined with part or all of the steps in other embodiments, or may be arbitrarily combined with optional implementations of other embodiments.
  • the embodiments of the present disclosure also propose a device for implementing any of the above methods, for example, a device is proposed, the above device includes a unit or module for implementing each step performed by the terminal in any of the above methods.
  • a device is also proposed, including a unit or module for implementing each step performed by a network device (such as an access network device, a core network function node, a core network device, etc.) in any of the above methods.
  • a network device such as an access network device, a core network function node, a core network device, etc.
  • the division of the units or modules in the above device is only a division of logical functions, which can be fully or partially integrated into one physical entity or physically separated in actual implementation.
  • the units or modules in the device can be implemented in the form of a processor calling software: for example, the device includes a processor, the processor is connected to a memory, instructions are stored in the memory, and the processor calls the instructions stored in the memory to implement any of the above methods or implement the functions of the 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 inside the device or a memory outside the device.
  • CPU central processing unit
  • microprocessor a microprocessor
  • the units or modules in the device may be implemented in the form of hardware circuits, and the functions of some or all of the units or modules may be implemented by designing the hardware circuits.
  • the hardware circuits may be understood as one or more processors; for example, in one implementation, the hardware circuits are application-specific integrated circuits (ASICs), and the functions of some or all of the above units or modules may be implemented by designing the logical relationship of the components in the circuits; for another example, in another implementation, the hardware circuits may be implemented by programmable logic devices (PLDs), and Field Programmable Gate Arrays (FPGAs) may be used as an example, which may include a large number of logic gate circuits, and the connection relationship between the logic gate circuits may be configured by configuring the configuration files, thereby implementing the functions of some or all of the above units or modules. All units or modules of the above devices may be implemented in the form of software called by the processor, or in the form of hardware circuits, or in the form of software called by the processor, and the remaining part may be implemented in
  • the processor is a circuit with signal processing capability.
  • the processor may be a circuit with instruction reading and execution capability, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which may be understood as a microprocessor), or a digital signal processor (DSP); in another implementation, the processor may implement certain functions through the logical relationship of a hardware circuit, and the logical relationship of the above hardware circuit may be fixed or reconfigurable, such as a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA.
  • ASIC application-specific integrated circuit
  • PLD programmable logic device
  • the process of the processor loading a configuration document to implement the hardware circuit configuration may be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules.
  • it can also be a hardware circuit designed for artificial intelligence, which can be understood as ASIC, such as Neural Network Processing Unit (NPU), Tensor Processing Unit (TPU), Deep Learning Processing Unit (DPU), etc.
  • ASIC Neural Network Processing Unit
  • NPU Neural Network Processing Unit
  • TPU Tensor Processing Unit
  • DPU Deep Learning Processing Unit
  • FIG7A is a schematic diagram of the structure of a terminal proposed in an embodiment of the present disclosure.
  • the terminal 7100 may include at least one of a transceiver module 7101 and a processing module 7102.
  • the transceiver module is used to determine that the capability of the terminal has changed, and to send a first indication message to a network device, where the first indication message is used to indicate that the capability of the terminal has changed.
  • the transceiver module is used to execute the communication steps such as sending and/or receiving executed by the terminal 101 in any of the above methods (e.g., step S303, step S305,
  • the processing module is used to execute at least one of the other steps (such as step S301, step S302, but not limited thereto) executed by the terminal 101 in any of the above methods, which will not be described in detail here.
  • FIG. 7B is a schematic diagram of the structure of the network device proposed in the embodiment of the present disclosure.
  • the network device 7200 may include: at least one of a transceiver module 7201, a processing module 7202, etc.
  • the transceiver module is used to receive the first indication information sent by the terminal, and the first indication information is used to indicate that the capability of the terminal has changed.
  • the processing module is used to determine the capability of the changed terminal according to the first indication information.
  • the processing module is used to send a task indication to the terminal according to the capability of the changed terminal.
  • the transceiver module is used to execute at least one of the communication steps such as sending and/or receiving (for example, step S303, step S305, but not limited thereto) performed by the network device 102 in any of the above methods, which will not be repeated here.
  • the processing module is used to execute at least one of the other steps (for example, step S304, but not limited thereto) performed by the network device 102 in any of the above methods, which will not be repeated here.
  • the transceiver module may include a sending module and/or a receiving module, and the sending module and the receiving module may be separate or integrated.
  • the transceiver module may be interchangeable with the transceiver.
  • the processing module can be a module or include multiple submodules.
  • the multiple submodules respectively execute all or part of the steps required to be executed by the processing module.
  • the processing module can be replaced with the processor.
  • FIG8A is a schematic diagram of the structure of a communication device 8100 proposed in an embodiment of the present disclosure.
  • the communication device 8100 may be a network device (e.g., an access network device, a core network device, etc.), or a terminal (e.g., a user device, etc.), or 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.
  • the communication device 8100 may be used to implement the method described in the above method embodiment, and the details may refer to the description in the above method embodiment.
  • the communication device 8100 further includes one or more transceivers 8102.
  • the transceiver 8102 performs at least one of the communication steps such as sending and/or receiving in the above method (for example, step S303, step S305, but not limited thereto), and the processor 8101 performs at least one of the other steps (for example, step S301, step S302, step S304, but not limited thereto).
  • the transceiver may include a receiver and/or a transmitter, and the receiver and the transmitter may be separate or integrated.
  • the terms transceiver, transceiver unit, transceiver, transceiver circuit, interface circuit, interface, etc. may be replaced with each other, the terms transmitter, transmitting unit, transmitter, transmitting circuit, etc. may be replaced with each other, and the terms receiver, receiving unit, receiver, receiving circuit, etc. may be replaced with each other.
  • the communication device 8100 further includes one or more memories 8103 for storing data.
  • the memories 8103 may also be located outside the communication device 8100.
  • the communication device 8100 may include one or more memories 8103 for storing data.
  • One or more interface circuits 8104 are connected to the memory 8102, and the interface circuit 8104 can be used to receive data from the memory 8102 or other devices, and can be used to send data to the memory 8102 or other devices.
  • the interface circuit 8104 can read the data stored in the memory 8102 and send the data to the processor 8101.
  • the communication device 8100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 8100 described in the present disclosure is not limited thereto, and the structure of the communication device 8100 may not be limited by FIG. 8A.
  • the communication device may be an independent device or may be part of a larger device.
  • the present disclosure also proposes a storage medium, on which instructions are stored, and when the instructions are executed on the communication device 8100, the communication device 8100 executes any of the above methods.
  • the storage medium is an electronic storage medium.
  • the storage medium is a computer-readable storage medium, but is not limited to this, and it can also be a storage medium readable by other devices.
  • the storage medium can be a non-transitory storage medium, but is not limited to this, and it can also be a temporary storage medium.
  • the present disclosure also proposes a program product, which, when executed by the communication device 8100, enables the communication device 8100 to execute any of the above methods.
  • the program product is a computer program product.
  • the present disclosure also proposes a computer program, which, when executed on a computer, causes the computer to execute any one of the above methods.

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Abstract

一种通信方法、终端、网络设备、通信系统及存储介质。通信方法包括：终端确定终端与人工智能AI相关的能力发生更改，终端向网络设备发送第一指示信息，第一指示信息用于指示终端与AI相关的能力发生更改。采用本公开这种方式，终端在与AI相关的能力发生更改的情况下向网络设备发送第一指示信息，便于网络设备基于第一指示信息确定更改后的终端能力，进而网络设备能够基于准确地终端能力对终端进行准确且有效的管理。

Description

通信方法、终端、网络设备、通信系统及存储介质 技术领域
本公开涉及通信技术领域，尤其涉及一种通信方法、终端、网络设备、通信系统及存储介质。
背景技术
机器学习算法是实现人工智能(Artificial Intelligence，AI)技术落地的重要方法之一。机器学习算法需要使用大量的训练数据训练模型，训练得到的模型可以对事件进行预测。在很多领域中，基于机器学习技术而训练得到的模型都可以获得非常精准的预测结果。在通信领域中，也可以使用模型进行预测和推理，从而提升通信系统的性能。由于终端的计算能力和存储资源有限，所以终端可能只支持特定的AI模型或者AI功能。
发明内容
本公开实施例提出了一种通信方法、终端、网络设备、通信系统及存储介质。
根据本公开实施例的第一方面，提出了一种通信方法，所述方法包括：
终端确定所述终端与人工智能AI相关的能力发生更改，向网络设备发送第一指示信息，所述第一指示信息用于指示所述终端与AI相关的能力发生更改。
根据本公开实施例的第二方面，提出了一种通信方法，所述方法包括：
网络设备接收终端发送的第一指示信息，所述第一指示信息用于指示所述终端与人工智能AI相关的能力发生更改；根据所述第一指示信息确定更改后的终端能力。
根据本公开实施例的第三方面，提出了一种终端，包括：
收发模块，用于确定所述终端与人工智能AI相关的能力发生更改，向网络设备发送第一指示信息，所述第一指示信息用于指示所述终端与AI相关的能力发生更改。
根据本公开实施例的第四方面，提出了一种网络设备，包括：
收发模块，用于接收终端发送的第一指示信息，所述第一指示信息用于指示所述终端与人工智能AI相关的能力发生更改；
处理模块，用于根据所述第一指示信息确定更改后的终端能力。
根据本公开实施例的第五方面，提出了一种终端，包括：一个或多个处理器；耦合于所述处理器上的存储器，所述存储器上存储有可执行指令，当所述可执行指令由所述处理器执行时，使所述终端执行第一方面所述的通信方法。
根据本公开实施例的第六方面，提出了一种网络设备，所述网络设备包括：一个或多个处理器；耦合于所述处理器上的存储器，所述存储器上存储有可执行指令，当所述可执行指令由所述处理器执行时，使所述网络设备执行第二方面所述的通信方法。
根据本公开实施例的第七方面，提出了一种通信系统，包括终端和网络设备，其中，所述终端被配置为实现第一方面所述的通信方法，所述网络设备被配置为实现第二方面所述的通信方法。
根据本公开实施例的第八方面，提出了一种存储介质，所述存储介质存储有指令，当所述指令在通信设备上运行时，使得所述通信设备执行第一方面或第二方面所述的通信方法。
采用本公开上述技术方案，至少可以达到如下的有益技术效果：
终端在其与AI相关能力发生更改的情况下向网络设备发送第一指示信息，便于网络设备基于第一指示信息确定更改后的终端能力，进而网络设备能够基于准确地终端能力对终端进行准确且有效的管理。
附图说明
为了更清楚地说明本公开实施例中的技术方案，以下对实施例描述所需的附图进行介绍，以下附图仅仅是本公开的一些实施例，不对本公开的保护范围造成具体限制。
图1是根据本公开实施例示出的一种通信系统的架构示意图。
图2是根据本公开实施例提供的通信方法的一个示例性交互示意图。
图3是根据本公开实施例示出的通信方法的一个示例性交互示意图。
图4A是根据本公开实施例示出的通信方法的流程示意图。
图4B是根据本公开实施例示出的通信方法的流程示意图。
图5A是根据本公开实施例示出的通信方法的流程示意图。
图5B是根据本公开实施例示出的通信方法的流程示意图。
图6A是根据本公开实施例示出的通信方法的流程示意图。
图6B是根据本公开实施例示出的通信方法的流程示意图。
图6C是根据本公开实施例示出的通信方法的交互示意图。
图7A是本公开实施例提出的终端的结构示意图。
图7B是本公开实施例提出的网络设备的结构示意图。
图8A是本公开实施例提出的通信设备的结构示意图。
图8B是本公开实施例提出的芯片的结构示意图。
具体实施方式
本公开实施例提出了一种通信方法、终端、网络设备、通信系统及存储介质。
第一方面，本公开实施例提出了一种通信方法，所述方法包括：
终端确定所述终端与人工智能AI相关的能力发生更改，向网络设备发送第一指示信息，所述第一指示信息用于指示所述终端与AI相关的能力发生更改。
在上述实施例中，终端在能力发生更改的情况下向网络设备发送第一指示信息，便于网络设备基 于第一指示信息确定更改后的终端能力，进而网络设备能够基于准确地终端能力对终端进行准确且有效的管理。这种方式可以避免网络设备基于过时的终端能力对终端进行与其能力不相匹配的配置或指示，以及可以避免因网络设备向终端发送这些与终端能力不相匹配的配置或指示而导致的无线资源浪费。
结合第一方面的一些实施例，在一些实施例中，所述终端的能力包括以下至少一种：
所述终端支持的AI模型；
所述终端支持的AI功能；
所述终端支持的第一生效条件，所述第一生效条件为用于使能AI模型的条件；
所述终端支持的第二生效条件，所述第二生效条件为用于使能AI功能的条件。
在上述实施例中，规范了终端的能力包括终端支持哪些AI模型、支持哪些AI功能、支持哪些第一生效条件、或支持哪些第二生效条件，如此能够便于网络设备根据终端所支持的能力对终端的功能进行配置或调用。
结合第一方面的一些实施例，在一些实施例中，所述终端确定所述终端与人工智能AI相关的能力发生更改，包括：
确定符合以下至少一种条件，确定所述终端的能力发生更改：
确定所述终端支持新的AI模型；
确定所述终端支持新的AI功能；
确定所述终端不再支持曾经支持过的AI模型；
确定所述终端不再支持曾经支持过的AI功能；
确定所述终端支持的所述第一生效条件发生更改；
确定所述终端支持的所述第二生效条件发生更改。
在上述实施例中，完备了确定终端的能力发生更改的方式。
结合第一方面的一些实施例，在一些实施例中，在所述向网络设备发送第一指示信息之前，包括：接收所述网络设备发送的第二指示信息，所述第二指示信息用于指示所述终端使用第一AI模型和/或第一AI功能；确定所述终端不支持所述第一AI模型和/或所述终端不支持所述第一AI功能。
在上述实施例中，终端在确定不支持网络设备所指示使用的第一AI模型和/或第一AI功能的情况下，可向网络设备发送用于指示终端的能力发生更改的第一指示信息，这样可便于网络设备及时更新终端的能力信息，并根据更改后的终端能力进行决策。
结合第一方面的一些实施例，在一些实施例中，在所述向网络设备发送第一指示信息之前，包括：确定所述终端上存储有所述终端不支持的AI模型和/或不支持的AI功能的配置信息。
在上述实施例中，终端在确定存储有不支持的AI模型和/或AI功能的配置信息的情况下，可向网络设备发送用于指示终端的能力发生更改的第一指示信息，这样可便于网络设备及时根据终端的能力决策是否指示终端释放这些配置信息所占用的存储资源。
结合第一方面的一些实施例，在一些实施例中，在所述向网络设备发送第一指示信息之前，包括：确定发生更改的能力对应的AI模型包括预设AI模型，和/或，确定发生更改的能力对应的AI功能包括预设AI功能。
在上述实施例中，可以预先配置预设AI模型和/或预设AI功能，并对终端是否支持预设AI模型和/或预设AI功能的能力进行监控。在终端针对预设AI模型和/或预设AI功能的能力发生更改的情况下，可向网络设备发送第一指示信息。这种方式能够根据需求灵活的监控终端针对预设AI模型和/或预设AI功能的能力，避免因监控终端的所有能力而导致的资源浪费。
结合第一方面的一些实施例，在一些实施例中，所述预设AI模型和/或所述预设AI功能是所述网络设备配置的。
在上述实施例中，预设AI模型和/或预设AI功能可以是网络设备根据需求而为终端个性化地、动态地配置的，这种方式灵活性高，普适性强。
结合第一方面的一些实施例，在一些实施例中，所述向网络设备发送第一指示信息，包括：所述终端确定当前时间进入下一个信息发送周期，向所述网络设备发送所述第一指示信息。
在上述实施例中，终端按照信息发送周期发送第一指示信息的方式，既可以避免终端漏发第一指示信息又可以降低终端发送第一指示信息的压力，还可以避免在网络拥堵时段发送第一指示信息以避免数据丢失。
结合第一方面的一些实施例，在一些实施例中，所述第一指示信息包括第一模型标识和/或第一功能标识，其中，所述第一模型标识用于确定所述终端支持的AI模型，所述第一功能标识用于确定所述终端支持的AI功能。
在上述实施例中，终端通过第一指示信息可向网络设备上报终端支持哪些AI模型和/或哪些AI功能，以便于网络设备基于终端支持的AI模型和/或AI功能对终端进行任务指示或配置。
结合第一方面的一些实施例，在一些实施例中，所述第一指示信息还包括第一时间信息，其中，所述第一时间信息指示所述终端支持所述第一模型标识对应的AI模型的持续时长，和/或，指示所述终端支持所述第一功能标识对应的AI功能的持续时长。
在上述实施例中，终端通过第一指示信息可向网络设备指示终端支持AI模型和/或AI功能的持续时长，以便于网络设备在终端支持AI模型和/或AI功能的时段内指示终端使用AI模型和/或AI功能，在终端不支持AI模型和/或AI功能的时段内不指示终端使用AI模型和/或AI功能，实现网络设备在时间维度上对终端进行精确管理。
结合第一方面的一些实施例，在一些实施例中，所述第一指示信息包括第二模型标识和/或第二功能标识，其中，所述第二模型标识用于确定所述终端不支持的AI模型，所述第二功能标识用于确定所述终端不支持的AI功能。
在上述实施例中，终端通过第一指示信息可向网络设备上报终端不支持哪些AI模型和/或哪些AI功能，以便于网络设备基于终端不支持的AI模型和/或AI功能对终端进行任务指示或配置。
结合第一方面的一些实施例，在一些实施例中，所述第一指示信息还包括第二时间信息，其中，所述第二时间信息指示所述终端不支持所述第二模型标识对应的AI模型的持续时长，和/或，指示所述终端不支持所述第二功能标识对应的AI功能的持续时长。
在上述实施例中，终端通过第一指示信息可向网络设备指示终端不支持AI模型和/或AI功能的持续时长，以便于网络设备在终端支持AI模型和/或AI功能的时段内指示终端使用AI模型和/或AI功能，在终端不支持AI模型和/或AI功能的时段内不指示终端使用AI模型和/或AI功能，实现网络设备在时间维度上对终端进行精确管理。
结合第一方面的一些实施例，在一些实施例中，所述第一指示信息包括指示信息序号，所述指示信息序号用于所述网络设备确定所述终端在发送所述第一指示信息之前向所述网络设备发送的第三指示信息，并用于所述网络设备确定所述终端不再支持在所述第三指示信息中指示支持的AI模型和/或AI功能。
在上述实施例中，终端通过在第一指示信息中承载指示信息序号可向网络设备上报终端不再支持哪些曾经上报支持过的AI模型和/或不再支持哪些曾经上报支持过的AI功能，以便于网络设备更新终端的能力信息。
结合第一方面的一些实施例，在一些实施例中，所述第一指示信息还包括第三时间信息，其中，所述第三时间信息用于指示所述终端不支持所述第三指示信息中指示支持的AI模型和/或AI功能的持续时长。
在上述实施例中，终端通过第一指示信息可向网络设备指示终端不支持AI模型和/或AI功能的持续时长，以便于网络设备在终端支持AI模型和/或AI功能的时段内指示终端使用AI模型和/或AI功能，在终端不支持AI模型和/或AI功能的时段内不指示终端使用AI模型和/或AI功能，实现网络设备在时间维度上对终端进行精确管理。
第二方面，本公开实施例提出了一种通信方法，所述方法包括：网络设备接收终端发送的第一指示信息，所述第一指示信息用于指示所述终端与人工智能AI相关的能力发生更改；根据所述第一指示信息确定更改后的终端能力。
结合第二方面的一些实施例，在一些实施例中，所述方法还包括：根据更改后的终端能力向所述终端发送任务指示。
结合第二方面的一些实施例，在一些实施例中，所述终端的能力包括以下至少一种：
所述终端支持的AI模型；
所述终端支持的AI功能；
所述终端支持的第一生效条件，所述第一生效条件为用于使能AI模型的条件；
所述终端支持的第二生效条件，所述第二生效条件为用于使能AI功能的条件。
结合第二方面的一些实施例，在一些实施例中，所述终端是通过确定符合以下至少一种条件，确定所述终端的能力发生更改的：
确定所述终端支持新的AI模型；
确定所述终端支持新的AI功能；
确定所述终端不再支持曾经支持过的AI模型；
确定所述终端不再支持曾经支持过的AI功能；
确定所述终端支持的所述第一生效条件发生更改；
确定所述终端支持的所述第二生效条件发生更改。
结合第二方面的一些实施例，在一些实施例中，所述第一指示信息是所述终端在确定不支持所述网络设备指示使用的第一AI模型和/或第一AI功能的情况下向所述网络设备发送的；
在所述网络设备接收终端发送的第一指示信息之前，包括：所述网络设备向所述终端发送第二指示信息，所述第二指示信息用于指示所述终端使用所述第一AI模型和/或所述第一AI功能。
结合第二方面的一些实施例，在一些实施例中，所述第一指示信息是所述终端在确定所述终端上存储有所述终端不支持的AI模型和/或不支持的AI功能的配置信息的情况下向所述网络设备发送的。
结合第二方面的一些实施例，在一些实施例中，所述第一指示信息是所述终端在确定发生更改的能力对应的AI模型包括预设AI模型，和/或，确定发生更改的能力对应的AI功能包括预设AI功能的情况下向所述网络设备发送的。
结合第二方面的一些实施例，在一些实施例中，所述方法还包括：所述网络设备为所述终端配置所述预设AI模型和/或所述预设AI功能。
结合第二方面的一些实施例，在一些实施例中，所述第一指示信息是所述终端在确定当前时间进入下一个信息发送周期的情况下向所述网络设备发送的。
结合第二方面的一些实施例，在一些实施例中，所述第一指示信息包括第一模型标识和/或第一功能标识；
所述根据所述第一指示信息确定更改后的所述终端的能力，包括：
根据所述第一模型标识确定所述终端支持的AI模型；
根据所述第一功能标识确定所述终端支持的AI功能。
结合第二方面的一些实施例，在一些实施例中，所述第一指示信息还包括第一时间信息，所述根据所述第一指示信息确定更改后的所述终端的能力，还包括：
根据所述第一时间信息确定所述终端支持所述第一模型标识对应的AI模型的持续时长，和/或，根据所述第一时间信息确定所述终端支持所述第一功能标识对应的AI功能的持续时长。
结合第二方面的一些实施例，在一些实施例中，所述第一指示信息包括第二模型标识和/或第二功能标识；
所述根据所述第一指示信息确定更改后的所述终端的能力，包括：
根据所述第二模型标识确定所述终端不支持的AI模型；
根据所述第二功能标识确定所述终端不支持的AI功能。
结合第二方面的一些实施例，在一些实施例中，所述第一指示信息还包括第二时间信息；
所述根据所述第一指示信息确定更改后的所述终端的能力，还包括：
根据所述第二时间信息确定所述终端不支持所述第二模型标识对应的AI模型的持续时长，和/或，根据所述第二时间信息确定所述终端不支持所述第二功能标识对应的AI功能的持续时长。
结合第二方面的一些实施例，在一些实施例中，所述第一指示信息包括指示信息序号；
所述根据所述第一指示信息确定更改后的所述终端的能力，包括：
根据所述指示信息序号确定在接收到所述第一指示信息之前接收到的第三指示信息；
确定所述终端不再支持的在所述第三指示信息中指示支持的AI模型和/或AI功能。
结合第二方面的一些实施例，在一些实施例中，所述第一指示信息还包括第三时间信息；
所述根据所述第一指示信息确定更改后的所述终端的能力，还包括：
根据所述第三时间信息确定所述终端不再支持所述第三指示信息中指示支持的AI模型和/或AI功能的持续时长。
第三方面，本公开实施例提出了一种终端，上述终端包括收发模块、处理模块中的至少一者；其中，上述终端用于执行第一方面的可选实现方式。
第四方面，本公开实施例提出了一种网络设备，上述网络设备包括收发模块、处理模块中的至少一者；其中，上述网络设备用于执行第二方面的可选实现方式。
第五方面，本公开实施例提出了一种终端，上述终端包括：一个或多个处理器；其中，上述终端用于执行第一方面的可选实现方式。
第六方面，本公开实施例提出了一种网络设备，上述网络设备包括：一个或多个处理器；其中，上述网络设备用于执行第二方面的可选实现方式。
第七方面，本公开实施例提出了一种通信系统，上述通信系统包括：终端和网络设备；其中，上述终端被配置为执行如第一方面的可选实现方式所描述的方法，上述网络设备被配置为执行如第二方面的可选实现方式所描述的方法。
第八方面，本公开实施例提出了一种存储介质，上述存储介质存储有指令，当上述指令在通信设备上运行时，使得上述通信设备执行如第一方面和第二方面的可选实现方式所描述的方法。
第九方面，本公开实施例提出了程序产品，上述程序产品被通信设备执行时，使得上述通信设备执行如第一方面和第二方面的可选实现方式所描述的方法。
第十方面，本公开实施例提出了计算机程序，当其在计算机上运行时，使得计算机执行如第一方面和第二方面的可选实现方式所描述的方法。
第十一方面，本公开实施例提供了一种芯片或芯片系统。该芯片或芯片系统包括处理电路，被配置为执行根据上述第一方面和第二方面的可选实现方式所描述的方法。
可以理解地，上述终端、网络设备、通信系统、存储介质、程序产品、计算机程序、芯片或芯片系统均用于执行本公开实施例所提出的方法。因此，其所能达到的有益效果可以参考对应方法中的有 益效果，此处不再赘述。
本公开实施例提出了一种通信方法、终端、网络设备、通信系统及存储介质。在一些实施例中，通信方法与信息处理方法、能力上报方法、通知能力更改的方法等术语可以相互替换，通信系统与信息处理系统、能力上报系统、通知能力更改的系统等术语可以相互替换。
本公开实施例并非穷举，仅为部分实施例的示意，不作为对本公开保护范围的具体限制。在不矛盾的情况下，某一实施例中的每个步骤均可以作为独立实施例来实施，且各步骤之间可以任意组合，例如，在某一实施例中去除部分步骤后的方案也可以作为独立实施例来实施，且在某一实施例中各步骤的顺序可以任意交换，另外，某一实施例中的可选实现方式可以任意组合；此外，各实施例之间可以任意组合，例如，不同实施例的部分或全部步骤可以任意组合，某一实施例可以与其他实施例的可选实现方式任意组合。
在各本公开实施例中，如果没有特殊说明以及逻辑冲突，各实施例之间的术语和/或描述具有一致性，且可以互相引用，不同实施例中的技术特征根据其内在的逻辑关系可以组合形成新的实施例。
本公开实施例中所使用的术语只是为了描述特定实施例的目的，而并非作为对本公开的限制。
在本公开实施例中，除非另有说明，以单数形式表示的元素，如“一个”、“一种”、“该”、“上述”、“所述”、“前述”、“这一”等，可以表示“一个且只有一个”，也可以表示“一个或多个”、“至少一个”等。例如，在翻译中使用如英语中的“a”、“an”、“the”等冠词(article)的情况下，冠词之后的名词可以理解为单数表达形式，也可以理解为复数表达形式。
在本公开实施例中，“多个”是指两个或两个以上。
在一些实施例中，“至少一者(至少一项、至少一个)(at least one of)”、“一个或多个(one or more)”、“多个(a plurality of)”、“多个(multiple)等术语可以相互替换。
在一些实施例中，“A、B中的至少一者”、“A和/或B”、“在一情况下A，在另一情况下B”、“响应于一情况A，响应于另一情况B”等记载方式，根据情况可以包括以下技术方案：在一些实施例中A(与B无关地执行A)；在一些实施例中B(与A无关地执行B)；在一些实施例中从A和B中选择执行(A和B被选择性执行)；在一些实施例中A和B(A和B都被执行)。当有A、B、C等更多分支时也类似上述。
在一些实施例中，“A或B”等记载方式，根据情况可以包括以下技术方案：在一些实施例中A(与B无关地执行A)；在一些实施例中B(与A无关地执行B)；在一些实施例中从A和B中选择执行(A和B被选择性执行)。当有A、B、C等更多分支时也类似上述。
本公开实施例中的“第一”、“第二”等前缀词，仅仅为了区分不同的描述对象，不对描述对象的位置、顺序、优先级、数量或内容等构成限制，对描述对象的陈述参见权利要求或实施例中上下文的描述，不应因为使用前缀词而构成多余的限制。例如，描述对象为“字段”，则“第一字段”和“第二字段”中“字段”之前的序数词并不限制“字段”之间的位置或顺序，“第一”和“第二”并不限制其修饰的“字段”是否在同一个消息中，也不限制“第一字段”和“第二字段”的先后顺序。再如， 描述对象为“等级”，则“第一等级”和“第二等级”中“等级”之前的序数词并不限制“等级”之间的优先级。再如，描述对象的数量并不受序数词的限制，可以是一个或者多个，以“第一装置”为例，其中“装置”的数量可以是一个或者多个。此外，不同前缀词修饰的对象可以相同或不同，例如，描述对象为“装置”，则“第一装置”和“第二装置”可以是相同的装置或者不同的装置，其类型可以相同或不同；再如，描述对象为“信息”，则“第一信息”和“第二信息”可以是相同的信息或者不同的信息，其内容可以相同或不同。
在一些实施例中，“包括A”、“包含A”、“用于指示A”、“携带A”，可以解释为直接携带A，也可以解释为间接指示A。
在一些实施例中，“响应于……”、“响应于确定……”、“在……的情况下”、“在……时”、“当……时”、“若……”、“如果……”等术语可以相互替换。
在一些实施例中，“大于”、“大于或等于”、“不小于”、“多于”、“多于或等于”、“不少于”、“高于”、“高于或等于”、“不低于”、“以上”等术语可以相互替换，“小于”、“小于或等于”、“不大于”、“少于”、“少于或等于”、“不多于”、“低于”、“低于或等于”、“不高于”、“以下”等术语可以相互替换。
在一些实施例中，装置等可以解释为实体的、也可以解释为虚拟的，其名称不限定于实施例中所记载的名称，“装置”、“设备(equipment)”、“设备(device)”、“电路”、“网元”、“节点”、“功能”、“单元”、“部件(section)”、“系统”、“网络”、“芯片”、“芯片系统”、“实体”、“主体”等术语可以相互替换。
在一些实施例中，“网络”可以解释为网络中包含的装置(例如，接入网设备、核心网设备等)。
在一些实施例中，“接入网设备(access network device，AN device)”、“无线接入网设备(radio access network device，RAN device)”、“基站(base station，BS)”、“无线基站(radio base station)”、“固定台(fixed station)”、“节点(node)”、“接入点(access point)”、“发送点(transmission point，TP)”、“接收点(reception point，RP)”、“发送和/或接收点(transmission/reception point，TRP)”、“面板(panel)”、“天线面板(antenna panel)”、“天线阵列(antenna array)”、“小区(cell)”、“宏小区(macro cell)”、“小型小区(small cell)”、“毫微微小区(femto cell)”、“微微小区(pico cell)”、“扇区(sector)”、“小区组(cell group)”、“服务小区”、“载波(carrier)”、“分量载波(component carrier)”、“带宽部分(bandwidth part，BWP)”等术语可以相互替换。
在一些实施例中，“终端(terminal)”、“终端设备(terminal device)”、“用户设备(user equipment，UE)”、“用户终端(user terminal)”、“移动台(mobile station，MS)”、“移动终端(mobile terminal，MT)”、订户站(subscriber station)、移动单元(mobile unit)、订户单元(subscriber unit)、无线单元(wireless unit)、远程单元(remote unit)、移动设备(mobile device)、无线设备(wireless device)、无线通信设备(wireless communication device)、远程设备(remote device)、移动订户站(mobile subscriber station)、接入终端(access terminal)、移动终端(mobile terminal)、无线终端(wireless terminal)、 远程终端(remote terminal)、手持设备(handset)、用户代理(user agent)、移动客户端(mobile client)、客户端(client)等术语可以相互替换。
在一些实施例中，接入网设备、核心网设备、或网络设备可以被替换为终端。例如，针对将接入网设备、核心网设备、或网络设备以及终端间的通信置换为多个终端间的通信(例如，设备对设备(device-to-device，D2D)、车联网(vehicle-to-everything，V2X)等)的结构，也可以应用本公开的各实施例。在该情况下，也可以设为终端具有接入网设备所具有的全部或部分功能的结构。此外，“上行”、“下行”等术语也可以被替换为与终端间通信对应的术语(例如，“侧行(side)”)。例如，上行信道、下行信道等可以被替换为侧行信道，上行链路、下行链路等可以被替换为侧行链路。
在一些实施例中，终端可以被替换为接入网设备、核心网设备、或网络设备。在该情况下，也可以设为接入网设备、核心网设备、或网络设备具有终端所具有的全部或部分功能的结构。
在一些实施例中，获取数据、信息等可以遵照所在地国家的法律法规。
在一些实施例中，可以在得到用户同意后获取数据、信息等。
此外，本公开实施例的表格中的每一元素、每一行、或每一列均可以作为独立实施例来实施，任意元素、任意行、任意列的组合也可以作为独立实施例来实施。
图1是根据本公开实施例示出的一种通信系统的架构示意图。如图1所示，该通信系统100可以包括终端101和网络设备102。
在一些实施例中，终端101例如包括手机(mobile phone)、可穿戴设备、物联网设备、具备通信功能的汽车、智能汽车、平板电脑(Pad)、带无线收发功能的电脑、虚拟现实(virtual reality，VR)终端设备、增强现实(augmented reality，AR)终端设备、工业控制(industrial control)中的无线终端设备、无人驾驶(self-driving)中的无线终端设备、远程手术(remote medical surgery)中的无线终端设备、智能电网(smart grid)中的无线终端设备、运输安全(transportation safety)中的无线终端设备、智慧城市(smart city)中的无线终端设备、智慧家庭(smart home)中的无线终端设备中的至少一者，但不限于此。
在一些实施例中，网络设备102可以包括接入网设备和核心网设备中的至少一者。
可选地，接入网设备例如是将终端接入到无线网络的节点或设备，接入网设备可以包括5G通信系统中的演进节点B(evolved NodeB，eNB)、下一代演进节点B(next generation eNB，ng-eNB)、下一代节点B(next generation NodeB，gNB)、节点B(node B，NB)、家庭节点B(home node B，HNB)、家庭演进节点B(home evolved nodeB，HeNB)、无线回传设备、无线网络控制器(radio network controller，RNC)、基站控制器(base station controller，BSC)、基站收发台(base transceiver station，BTS)、基带单元(base band unit，BBU)、移动交换中心、6G通信系统中的基站、开放型基站(Open RAN)、云基站(Cloud RAN)、其他通信系统中的基站、Wi-Fi系统中的接入节点中的至少一者，但不限于此。
在一些实施例中，网络设备102为基站。可选地，基站例如是宏基站、微基站(也称为小站)、 中继站、接入点、5G基站或未来的基站、卫星、传输点(Transmitting and Receiving Point，TRP)、发射点(Transmitting Point，TP)、移动交换中心或者在通信系统中承担基站功能的其他设备等，本公开实施例对此不作具体限定。为方便描述，本公开所有实施例中，为终端设备提供无线通信功能的装置统称为网络设备或基站。
在一些实施例中，网络设备102为核心网设备。核心网设备可以是一个设备，包括第一网元、第二网元等，也可以是多个设备或设备群，分别包括第一网元、第二网元等中的全部或部分。网元可以是虚拟的，也可以是实体的。核心网例如包括演进分组核心(Evolved Packet Core，EPC)、5G核心网络(5G Core Network，5GCN)、下一代核心(Next Generation Core，NGC)中的至少一者。
在一些实施例中，本公开的技术方案可适用于Open RAN架构，此时，本公开实施例所涉及的接入网设备间或者接入网设备内的接口可变为Open RAN的内部接口，这些内部接口之间的流程和信息交互可以通过软件或者程序实现。
在一些实施例中，接入网设备可以由集中单元(central unit，CU)与分布式单元(distributed unit，DU)组成的，其中，CU也可以称为控制单元(control unit)，采用CU-DU的结构可以将接入网设备的协议层拆分开，部分协议层的功能放在CU集中控制，剩下部分或全部协议层的功能分布在DU中，由CU集中控制DU，但不限于此。
可以理解的是，本公开实施例描述的通信系统是为了更加清楚的说明本公开实施例的技术方案，并不构成对于本公开实施例提出的技术方案的限定，本领域普通技术人员可知，随着系统架构的演变和新业务场景的出现，本公开实施例提出的技术方案对于类似的技术问题同样适用。
下述本公开实施例可以应用于图1所示的通信系统100、或部分主体，但不限于此。图1所示的各主体是例示，通信系统可以包括图1中的全部或部分主体，也可以包括图1以外的其他主体，各主体数量和形态为任意，各主体可以是实体的也可以是虚拟的，各主体之间的连接关系是例示，各主体之间可以不连接也可以连接，其连接可以是任意方式，可以是直接连接也可以是间接连接，可以是有线连接也可以是无线连接。
本公开各实施例可以应用于长期演进(Long Term Evolution，LTE)、LTE-Advanced(LTE-A)、LTE-Beyond(LTE-B)、SUPER 3G、IMT-Advanced、第四代移动通信系统(4th generation mobile communication system，4G)、)、第五代移动通信系统(5th generation mobile communication system，5G)、5G新空口(new radio，NR)、未来无线接入(Future Radio Access，FRA)、新无线接入技术(New-Radio Access Technology，RAT)、新无线(New Radio，NR)、新无线接入(New radio access，NX)、未来一代无线接入(Future generation radio access，FX)、Global System for Mobile communications(GSM(注册商标))、CDMA2000、超移动宽带(Ultra Mobile Broadband，UMB)、IEEE 802.11(Wi-Fi(注册商标))、IEEE 802.16(WiMAX(注册商标))、IEEE 802.20、超宽带(Ultra-WideBand，UWB)、蓝牙(Bluetooth(注册商标))、陆上公用移动通信网(Public Land Mobile Network，PLMN)网络、设备到设备(Device-to-Device，D2D)系统、机器到机器(Machine to Machine，M2M)系统、物联 网(Internet of Things，IoT)系统、车联网(Vehicle-to-Everything，V2X)、利用其他通信方法的系统、基于它们而扩展的下一代系统等。此外，也可以将多个系统组合(例如，LTE或者LTE-A与5G的组合等)应用。
本公开实施例提供一种通信方法、终端、网络设备、通信系统及存储介质，以使终端在能力发生更改的情况下可以向网络设备上报能力更改情况，便于网络设备及时获悉更改后的终端能力，进而网络设备能够基于更改后地、最新地终端能力对终端进行准确且有效的管理。
在一些实施例中，网络需要知道UE的能力，以便后续为UE配置UE能够支持的功能和特性。
在一些实施例中，UE可以采用如图2的流程图所示的方式向网络发送能力信息。网络向UE发送UE能力请求(例如UECapabilityEnquiry信令)，其中可以指示接入技术的类型，包括NR，eutra，eutra-NR。还可以指示频带或者频带组合。UE在UE能力信息(例如UECapabilityInformation信令)中上报对应接入技术类型和频带/频带组合上的能力。
应说明的是，机器学习算法是目前人工智能技术最重要的实现方法之一。机器学习可以通过大量的训练数据获得模型，通过模型可以对事件进行预测。在很多领域中，机器学习训练得到的模型都可以获得非常精准的预测结果。因此，在本公开的一些实施例中，UE可以使用AI进行预测和推理，提升系统的性能。示例地，由于在波束管理过程中，UE可以减少测量的波束数量，因此在一些实施例中，UE或者基站通过AI推理的方式可以预测得到最优的波束数量和具体的波束。示例地，由于环境的变化可能会导致网络与UE之间的波束对被阻挡，因此在一些实施例中，可使用AI模型来根据环境信息预测是否调整网络与UE之间的波束对。示例地，由于在波束调整过程中可以为终端选择一个合适的上行发射波束，以及为网络选择一个合适的上行接收波束，因此在一些实施例中，UE可通过AI模型来预测得到一个合适的波束对。示例地，由于在波束调整过程中可以为基站选择一个合适的下行发射波束，以及为UE选择一个合适的下行接收波束，因此在一些实施例中，基站可通过AI模型来预测得到一个合适的波束对。示例地，在信道状态信息CSI(Channel State Information)上报过程中，UE可以通过AI压缩CSI测量结果，向基站上报压缩后的CSI测量结果，基站收到后再通过AI还原原始的CSI测量结果。这减少了上报过程中需要的信令比特数。
此外，在通信系统中，网络可以使用AI模型对资源调度方面的处理进行预测，例如预测向哪些终端分配时间、频率、空间资源等以提升系统资源利用率。在通信系统中，网络或终端可以使用AI模型对小区测量方面的处理进行预测，例如预测待测量的小区、预测服务小区等以提升通信质量。在通信系统中，网络可以使用AI模型针对新的通信功能预测配置信息，例如在通信系统中引入新功能，新功能对应有用于消除网络和终端之间的频率偏差的同步信号，那么可针对同步信号预测相应地配置信息。
在一些实施例中，在AI的使用和推理过程中，可能需要多个AI模型或者AI功能进行推理和预测。由于终端的计算能力和存储资源有限，可能UE只能支持特定的AI模型或者AI功能。并且UE的计算能力和存储能力可能因用户的使用情况发生变化而变化。例如，当终端运行不同的软件时，因 不同软件所占用的计算资源和内存可能不同，所以对应的终端剩余算力和剩余内存可能不同。例如，当用户在终端上安装的软件类型、软件数量不同时，也可能导致终端上的剩余内存不同。例如，随着终端的使用时间推移，终端的剩余电量会逐渐减少，导致终端的剩余电量变化。例如，在用户对终端的硬件进行了更换的情况下，因不同硬件的属性不同而可能导致终端的性能发生更改。而不同的AI模型或者AI功能需要终端具备不同的性能支持，例如剩余内存、计算能力、剩余电量、硬件配置等，因此UE能够支持的AI模型或者AI功能也可能会随用户的使用情况变化而变化。所以，在一些实施例中，网络可以主动向UE发送指示，指示UE支持使用的AI模型或者AI功能。通过UE主动上报能力变化，可以使网络知道UE所支持的AI能力发生变化，避免导致网络指示UE使用其不支持的AI模型或者AI功能而失败的问题。
图3是根据本公开实施例示出的通信方法的一个示例性交互示意图。如图3所示，本公开实施例涉及通信方法，上述方法包括：
步骤S301，终端101确定终端101的能力发生更改，生成第一指示信息。
在一些实施例中，第一指示信息用于向网络设备指示终端的能力发生更改。
在一些实施例中，第一指示信息用于向网络设备指示终端增加了哪些能力。
在一些实施例中，第一指示信息用于向网络设备指示终端去除了哪些能力。
在一些实施例中，第一指示信息用于向网络设备指示终端具有能力的持续时长。
在一些实施例中，第一指示信息用于向网络设备指示终端在哪个时间段内支持哪些能力。
在一些实施例中，第一指示信息用于向网络设备指示终端在哪个时间段内不支持哪些能力。
在一些实施例中，第一指示信息的名称不做限定，其例如是能力更改通知、能力上报信息等。
在一些实施例中，终端的能力包括与AI相关的能力，终端的能力包括以下至少一种：终端支持的AI模型、终端支持的AI功能、终端支持的第一生效条件、终端支持的第二生效条件。
其中，第一生效条件为用于使能AI模型的条件。第一生效条件可以是指终端的性能是否符合预期。终端的性能包括但不限于计算速度、存储容量、是否支持蓝牙、CPU核心数、超线程等。在终端支持/满足/具备第一生效条件的情况下，AI模型可以正常工作。在一些实施例中，第一生效条件的数量为一个或多个。可选地，一个AI模型可以对应一个或多个第一生效条件。示例地，第一生效条件包括终端的CPU的时钟频率大于预设频率阈值。另一示例，第一生效条件包括终端的内存大于预设内存阈值。
第二生效条件为用于使能AI功能的条件。第二生效条件可以是指终端的性能是否符合预期。终端的性能包括但不限于计算速度、存储容量、是否支持蓝牙、CPU核心数、超线程等。在终端支持/满足/具备第二生效条件的情况下，AI功能可以正常使用。在一些实施例中，第二生效条件的数量为一个或多个。可选地，一个AI功能可以对应一个或多个第二生效条件。示例地，第二生效条件包括终端的硬盘读写速度大于预设速度阈值。另一示例，第二生效条件包括终端的剩余电量大于预设电量阈值。
在一些实施例中，终端是否支持某个AI模型/AI功能与终端的性能相关。例如，某个AI模型/AI功能需要终端CPU的时钟频率大于预设频率阈值。在一些实施例中，终端是否支持某个AI模型/AI功能与终端所处的环境相关。例如，某个AI模型/AI功能需要终端的服务小区是预设小区。例如，AI模型/AI功能需要终端所处的地理位置为预设位置。
可选地，终端的能力包括终端是否支持AI模型，以及终端支持哪些AI模型。
可选地，终端的能力包括终端是否支持AI功能，以及终端支持哪些AI功能。
可选地，终端的能力包括终端是否支持第一生效条件，以及终端支持哪些第一生效条件。
可选地，终端的能力包括终端是否支持第二生效条件，以及终端支持哪些第二生效条件。
在一些实施例中，终端可以支持一个或多个AI模型。不同的AI模型可以具有不同的模型结构和/或不同的AI功能。例如，终端支持的各AI模型可以具有相同、相似或者完全不同的模型结构。模型结构包括但不限于基于卷积神经网络CNN的模型架构、基于递归神经网络RNN的模型架构、基于生成式对抗网络GANs的模型架构、基于注意力机制的模型架构等。可选地，终端支持的各AI模型可以具有相同、相似或者完全不同的AI功能。AI模型包括但不限于用于预测定位的模型、用于预测服务小区的模型、用于预测待测量小区的模型、用于预测资源调度策略的模型、用于预测波束的模型、用于预测发射功率的模型等。
在一些实施例中，终端可以支持一个或多个AI功能。各AI功能可以各不相同。一个AI功能可以由一个AI模型实现，或者，一个AI功能可以由多个AI模型协同实现。AI功能包括但不限于预测波束、预测资源调度策略、预测服务小区、预测发射功率等。
在一些实施例中，随着终端的使用，终端的性能可能发生更改，而在终端的性能发生更改的情况下，终端的能力可能发生更改。可选地，终端确定终端的能力是否发生更改的实施方式可以是：判断终端支持的AI模型是否发生更改。可选地，判断终端是否支持新的AI模型。若确定终端支持新的AI模型，则可确定终端支持的AI模型发生更改，并确定终端的能力发生了更改。可选地，判断终端是否不再支持曾经支持过的AI模型。若确定终端不再支持曾经支持过的AI模型，则可确定终端支持的AI模型发生更改，并确定终端的能力发生了更改。应解释的是，终端不再支持曾经支持过的AI模型是指，当前时段/时刻终端不支持上一时段/时刻支持的AI模型。
在一些实施例中，终端确定终端的能力是否发生更改的实施方式可以是：判断终端支持的AI功能是否发生更改。可选地，判断终端是否支持新的AI功能。若确定终端支持新的AI功能，则可确定终端支持的AI功能发生更改，并确定终端的能力发生了更改。可选地，判断终端是否不再支持曾经支持过的AI功能。若确定终端不再支持曾经支持过的AI功能，则可确定终端支持的AI功能发生更改，并确定终端的能力发生了更改。
在一些实施例中，终端确定终端的能力是否发生更改的实施方式可以是：判断终端支持的第一生效条件是否发生更改。可选地，判断终端是否支持新的第一生效条件。若确定终端支持新的第一生效条件，则可确定终端支持的第一生效条件发生更改，并确定终端的能力发生了更改。可选地，判断终 端是否不再支持曾经支持过的第一生效条件。若确定终端不再支持曾经支持过的第一生效条件，则可确定终端支持的第一生效条件发生更改，并确定终端的能力发生了更改。在一些实施例中，在检测到终端的CPU的时钟频率小于或等于预设频率阈值的情况下，确定终端与AI相关的能力发生更改。在一些实施例中，在检测到终端的剩余内存小于或等于预设内存阈值的情况下，确定终端与AI相关的能力发生更改。
在一些实施例中，终端确定终端的能力是否发生更改的实施方式可以是：判断终端支持的第二生效条件是否发生更改。可选地，判断终端是否支持新的第二生效条件。若确定终端支持新的第二生效条件，则可确定终端支持的第二生效条件发生更改，并确定终端的能力发生了更改。可选地，判断终端是否不再支持曾经支持过的第二生效条件。若确定终端不再支持曾经支持过的第二生效条件，则可确定终端支持的第二生效条件发生更改，并确定终端的能力发生了更改。在一些实施例中，在检测到终端的硬盘读写速度小于或等于预设速度阈值的情况下，确定终端与AI相关的能力发生更改。在一些实施例中，在检测到终端的剩余电量小于或等于预设电量阈值的情况下，确定终端与AI相关的能力发生更改。
在一些实施例中，终端确定终端的能力是否发生更改的实施方式可以是：终端判断是否符合以下条件中的多个条件：终端支持新的AI模型、终端支持新的AI功能、终端不再支持曾经支持过的AI模型、终端不再支持曾经支持过的AI功能、终端支持的第一生效条件发生更改、终端支持的第二生效条件发生更改。可选地，终端在确定符合以上条件中的多个条件的情况下，可以确定终端的能力发生了更改。相应地，终端在确定未符合以上所有条件的情况下，可以确定终端的能力未发生更改。
在一些实施例中，终端确定终端的能力是否发生更改的实施方式可以是：终端判断终端具备能力的时间是否发生更改。可选地，若确定终端具备能力的时间发生更改，则可确定终端的能力发生了更改。
步骤S302，终端101确定符合第一指示信息的发送条件。
在一些实施例中，终端在发送第一指示信息之前，可先判断是否符合第一指示信息的发送条件。终端根据判断结果，决策是否发送第一指示信息。
在一些实施例中，第一指示信息的发送条件可以是：终端接收到网络设备发送的第二指示信息，第二指示信息用于指示终端使用第一AI模型和/或第一AI功能。并且，终端确定终端不支持第一AI模型和/或终端不支持第一AI功能。其中，第二指示信息的名称不做限定，其例如是任务指示信息、调度指令等等。
可选地，网络设备可以指示终端使用第一AI模型和/或第一AI功能。例如，网络设备可以指示终端激活/切换第一AI模型或第一AI功能。若终端确定不支持第一AI模型和/或终端不支持第一AI功能，则可确定符合第一指示信息的发送条件。
在一些实施例中，第一指示信息的发送条件可以是：终端确定终端上存储有终端不支持的AI模型的配置信息，和/或，终端确定终端上存储有不支持的AI功能的配置信息。
在一些实施例中，第一指示信息的发送条件可以是：终端确定发生更改的能力对应的AI模型包括预设AI模型，和/或，确定发生更改的能力对应的AI功能包括预设AI功能。例如，终端在确定针对预设AI模型的能力发生更改的情况下，可以确定符合第一指示信息的发送条件。又例如，终端在确定针对预设AI功能的能力发生更改的情况下，可以确定符合第一指示信息的发送条件。
在一些实施例中，预设AI模型和/或预设AI功能可以是网络设备配置的。示例地，网络设备向终端发送用于指示预设AI模型和/或预设AI功能的指示信息。终端接收该指示信息，以获悉预设AI模型和/或预设AI功能。在另一些实施例中，预设AI模型和/或预设AI功能可以是预先配置在终端上的。在另一些实施例中，预设AI模型和/或预设AI功能可以是协议规定的。
在一些实施例中，第一指示信息的发送条件可以是：终端确定当前时间进入下一个信息发送周期。例如，终端在确定当前时间进入下一个信息发送周期的情况下，可以确定符合第一指示信息的发送条件。
在一些实施例中，终端在确定符合以下条件中的多个条件的情况下，可确定符合第一指示信息的发送条件：
条件一、接收到网络设备发送的第二指示信息，且确定终端不支持第二指示信息中指示的第一AI模型和/或第一AI功能。
条件二、终端上存储有终端不支持的AI模型和/或不支持的AI功能的配置信息。
条件三、终端针对预设AI模型和/或预设AI功能的能力发生更改。
条件四、当前时间进入下一个信息发送周期。
步骤S303，终端101向网络设备102发送第一指示信息。
在一些实施例中，网络设备102接收终端101发送的第一指示信息。
在一些实施例中，第一指示信息可以承载在终端发送给网络设备的RRC信令中，RRC信令可以是UECapabilityInformation信令。可选地，终端发送UECapabilityInformation信令，该UECapabilityInformation信令包括第一指示信息。可选地，网络设备接收UECapabilityInformation信令，获得第一指示信息。
在一些实施例中，第一指示信息用于网络设备确定终端支持哪些AI模型和/或哪些AI功能。可选地，第一指示信息包括第一模型标识和/或第一功能标识。其中，第一模型标识用于确定终端支持的AI模型，第一功能标识用于确定终端支持的AI功能。
在一些实施例中，第一指示信息用于网络设备确定终端不支持哪些AI模型和/或不支持哪些AI功能。可选地，第一指示信息包括第二模型标识和/或第二功能标识。其中，第二模型标识用于确定终端不支持的AI模型，第二功能标识用于确定终端不支持的AI功能。
在一些实施例中，第一指示信息用于网络设备确定终端支持哪些AI模型、支持哪些AI功能、不支持哪些AI模型、或不支持哪些AI功能。可选地，第一指示信息包括第一模型标识、第一功能标识、第二模型标识、以及第二功能标识中的至少一者。
在一些实施例中，第一指示信息用于网络设备确定终端不再继续支持哪些曾经上报支持的AI模型和/或AI功能。可选地，第一指示信息包括指示信息序号，指示信息序号用于网络设备确定终端在发送第一指示信息之前向网络设备发送的第三指示信息，并用于网络设备确定终端不再支持在第三指示信息中指示支持的AI模型和/或AI功能。其中，终端在历史时间段内发送的第三指示信息用于指示终端在历史时间段内支持的AI模型和/或AI功能。在一些实施例中，第一指示信息对应有指示信息序号，指示信息序号用于唯一标识一个第一指示信息。在一些实施例中，第三指示信息为历史的第一指示信息。第三指示信息的名称不作限定，其例如是能力更改通知、能力上报信息等。
在一些实施例中，第一指示信息用于指示网络设备具备能力的时间。可选地，第一指示信息包括第一时间信息、第二时间信息、以及第三时间信息中的至少一者。
可选地，第一时间信息指示终端支持第一模型标识对应的AI模型的时间。例如，第一时间信息指示终端支持第一模型标识对应的AI模型的剩余持续时长。可选地，第一时间信息指示终端支持第一功能标识对应的AI功能的时间。例如，第一时间信息指示终端支持第一功能标识对应的AI功能的剩余持续时长。
可选地，第二时间信息指示终端不支持第二模型标识对应的AI模型的时间。例如，第二时间信息指示终端不支持第二模型标识对应的AI模型的剩余持续时长。可选地，第二时间信息指示终端不支持第二功能标识对应的AI功能的时间。例如，第二时间信息指示终端不支持第二功能标识对应的AI功能的剩余持续时长。
可选地，第三时间信息指示终端不支持在第三指示信息中指示支持的AI模型的时间。例如，第三时间信息指示终端不再支持在第三指示信息中指示支持的AI模型的剩余持续时长。可选地，第三时间信息指示终端不支持在第三指示信息中指示支持的AI功能的时间。例如，第三时间信息指示终端不再支持在第三指示信息中指示支持的AI功能的剩余持续时长。
步骤S304，网络设备102根据第一指示信息确定更改后的终端能力。
在一些实施例中，网络设备存储有终端的能力信息。网络设备在接收到终端发送的第一指示信息的同时或之后，可以根据第一指示信息对终端的能力信息进行更新，从而得到更改后的终端能力。
在一些实施例中，网络设备可以收集终端的能力。网络设备可以根据终端的能力变化过程绘制终端能力迭代图谱。网络设备可以收集终端的能力，并可以向其他主体提供终端的能力信息。例如，网络设备可以向其他主体提供终端的能力迭代图谱。例如，网络设备可以向其他主体提供终端的最新能力信息。
步骤S305，网络设备102根据更改后的终端能力向终端101发送任务指示。
在一些实施例中，网络设备可以基于终端能力向终端发送任务指示。任务指示包括但不限于对终端进行配置、对终端进行调度、使能终端功能、指示终端删除配置信息等指示。
本公开实施例所涉及的通信方法可以包括步骤S301～步骤S305中的至少一者。例如，步骤S303可以作为独立实施例来实施，步骤S303、S304可以作为独立实施例来实施，但不限于此。
在一些实施例中，步骤S301、S302可以交换顺序或同时执行。
在一些实施例中，步骤S301、S302、S304、S305是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。
在一些实施例中，步骤S301～S303、S305是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。
在一些实施例中，可参见图3所对应的说明书之前或之后记载的其他可选实现方式。
图4A是根据本公开实施例示出的通信方法的流程示意图。如图4A所示，本公开实施例涉及通信方法，由终端执行，上述方法包括：
步骤S4101，确定终端的能力发生更改，生成第一指示信息。
步骤S4101的可选实现方式可以参见图3的步骤S301的可选实现方式、及图3所涉及的实施例中其他关联部分，此处不再赘述。
步骤S4102，获取第二指示信息，并确定终端不支持第二指示信息中指示使用的第一AI模型和/或第一AI功能。
步骤S4102的可选实现方式可以参见图3的步骤S302的可选实现方式、及图3所涉及的实施例中其他关联部分，此处不再赘述。
在一些实施例中，终端101接收由网络设备102发送的第二指示信息，但不限于此，也可以接收由其他主体发送的第二指示信息。
在一些实施例中，终端101获取由协议规定的第二指示信息。
在一些实施例中，终端101从高层(upper layer(s))获取第二指示信息。
在一些实施例中，终端101进行处理从而得到第二指示信息。
在一些实施例中，步骤S4102被省略，终端101自主实现第二指示信息所指示的功能，或上述功能为缺省或默认。
可选地，第二指示信息用于指示终端101使用第一AI模型和/或第一AI功能。
步骤S4103，确定终端上存储有终端不支持的AI模型和/或不支持的AI功能的配置信息。
步骤S4103的可选实现方式可以参见图3的步骤S302的可选实现方式、及图3所涉及的实施例中其他关联部分，此处不再赘述。
步骤S4104，确定发生更改的能力对应的AI模型包括预设AI模型，和/或，确定发生更改的能力对应的AI功能包括预设AI功能。
步骤S4104的可选实现方式可以参见图3的步骤S302的可选实现方式、及图3所涉及的实施例中其他关联部分，此处不再赘述。
步骤S4105，确定当前时间进入下一个信息发送周期。
步骤S4105的可选实现方式可以参见图3的步骤S302的可选实现方式、及图3所涉及的实施例中其他关联部分，此处不再赘述。
步骤S4106，发送第一指示信息。
步骤S4106的可选实现方式可以参见图3的步骤S303的可选实现方式、及图3所涉及的实施例中其他关联部分，此处不再赘述。
在一些实施例中，终端101向网络设备102发送第一指示信息，但不限于此，也可以向其他主体发送第一指示信息。
可选地，上述第一指示信息用于网络设备102执行更新终端能力的处理过程。其可选实现方式可以参见图3的步骤S304的可选实现方式、及图3所涉及的实施例中其他关联部分，此处不再赘述。
本公开实施例所涉及的通信方法可以包括步骤S4101～步骤S4106中的至少一者。例如，步骤S4106可以作为独立实施例来实施，步骤S4101和S4106可以作为独立实施例来实施，但不限于此。
在一些实施例中，步骤S4102～S4105中任意两个步骤之间可以交换顺序或同时执行。
在一些实施例中，步骤S4102～S4105是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。
图4B是根据本公开实施例示出的通信方法的流程示意图。如图4B所示，本公开实施例涉及通信方法，由终端101执行，上述方法包括：
步骤S4201，确定终端的能力发生更改，生成第一指示信息。
步骤S4201的可选实现方式可以参见图3的步骤S301、图4A的步骤S4101的可选实现方式、及图3、图4A所涉及的实施例中其他关联部分，此处不再赘述。
步骤S4202，确定符合第一指示信息的发送条件，发送第一指示信息。
步骤S4202的可选实现方式可以参见图3的步骤S302、步骤S303、图4A的步骤S4102～步骤S4105的可选实现方式、及图3、图4A所涉及的实施例中其他关联部分，此处不再赘述。
本公开实施例所涉及的通信方法可以包括步骤S4201和步骤S4202中的至少一者。例如，步骤S4202可以作为独立实施例来实施，但不限于此。
在一些实施例中，步骤S4201是可选的，在不同实施例中可以对该步骤进行省略或替代。
在本公开实施例中，步骤S4201可以与图4A的步骤S4106组合，步骤S4201可以与图4A的步骤S4105和步骤S4106组合。
图5A是根据本公开实施例示出的通信方法的流程示意图。如图5A所示，本公开实施例涉及通信方法，由网络设备执行，上述方法包括：
步骤S5101，发送第二指示信息。
步骤S5101的可选实现方式可以参见图3的步骤S302的可选实现方式、及图3所涉及的实施例中其他关联部分，此处不再赘述。
在一些实施例中，网络设备102向终端101发送第二指示信息，但不限于此，也可以向其他主体发送第二指示信息。
可选地，上述第二指示信息用于终端101执行激活/切换第一AI模型和/或第一AI功能。其可选 实现方式可以参见图3的步骤S302的可选实现方式、及图3所涉及的实施例中其他关联部分，此处不再赘述。
步骤S5102，获取第一指示信息。
步骤S5102的可选实现方式可以参见图3的步骤S303的可选实现方式、及图3所涉及的实施例中其他关联部分，此处不再赘述。
在一些实施例中，网络设备102接收由终端101发送的第一指示信息，但不限于此，也可以接收由其他主体发送的第一指示信息。
在一些实施例中，网络设备102获取由协议规定的第一指示信息。
在一些实施例中，网络设备102从高层(upper layer(s))获取第一指示信息。
在一些实施例中，网络设备102进行处理从而得到第一指示信息。
在一些实施例中，步骤S5102被省略，网络设备102自主实现第一指示信息所指示的功能，或上述功能为缺省或默认。
可选地，第一指示信息用于指示终端的能力发生更改。
步骤S5103，根据第一指示信息确定更改后的终端的能力。
步骤S5103的可选实现方式可以参见图3的步骤S304的可选实现方式、及图3所涉及的实施例中其他关联部分，此处不再赘述。
步骤S5104，根据更改后的终端的能力向终端发送任务指示。
步骤S5104的可选实现方式可以参见图3的步骤S305的可选实现方式、及图3所涉及的实施例中其他关联部分，此处不再赘述。
本公开实施例所涉及的通信方法可以包括步骤S5101～步骤S5104中的至少一者。例如，步骤S5103可以作为独立实施例来实施，步骤S5102和步骤S5103可以作为独立实施例来实施，但不限于此。
在一些实施例中，步骤S5101和步骤S5102可以交换顺序或同时执行。
在一些实施例中，步骤S5101、步骤S5103、步骤S5104是可选的，在不同实施例中可以对这些步骤中的一个或多个步骤进行省略或替代。
图5B是根据本公开实施例示出的通信方法的流程示意图。如图5B所示，本公开实施例涉及通信方法，由网络设备执行，上述方法包括：
步骤S5201，获取第一指示信息。
步骤S5201的可选实现方式可以参见图3的步骤S303、图5A的步骤S5102的可选实现方式、及图3、图5A所涉及的实施例中其他关联部分，此处不再赘述。
步骤S5202，根据第一指示信息确定更改后的终端的能力。
步骤S5202的可选实现方式可以参见图3的步骤S304、图5A的步骤S5103的可选实现方式、及图3、图5A所涉及的实施例中其他关联部分，此处不再赘述。
本公开实施例所涉及的通信方法可以包括步骤S5201和步骤S5202中的至少一者。例如，步骤 S5201可以作为独立实施例来实施，但不限于此。
在一些实施例中，步骤S5202是可选的，在不同实施例中可以对该步骤进行省略或替代。
在本公开实施例中，步骤S5201可以与图5A的步骤S5101组合，步骤S5202可以与图5A的步骤S5104组合。
图6A是根据本公开实施例示出的通信方法的流程示意图。如图6A所示，本公开实施例涉及通信方法，上述方法包括：
步骤S6101，终端确定终端上与AI相关的能力发生更改，向网络设备发送第一指示信息，第一指示信息用于指示终端上与AI相关的能力发生更改。
步骤S6101的可选实现方式可以参见图3的步骤S301、图4A的步骤S4101的可选实现方式、及图3、图4A所涉及的实施例中其他关联部分，此处不再赘述。
在一些实施例中，上述方法可以包括上述通信系统侧、终端侧、网络设备侧等的实施例所述的方法，此处不再赘述。
图6B是根据本公开实施例示出的通信方法的流程示意图。如图6B所示，本公开实施例涉及通信方法，上述方法包括：
步骤S6201，网络设备接收终端发送的第一指示信息，第一指示信息用于指示终端的能力发生更改。
步骤S6201的可选实现方式可以参见图3的步骤S303、图5A的步骤S5102的可选实现方式、及图3、图5A所涉及的实施例中其他关联部分，此处不再赘述。
步骤S6202，网络设备根据第一指示信息确定更改后的终端能力。
步骤S6202的可选实现方式可以参见图3的步骤S304、图5A的步骤S5103的可选实现方式、及图3、图5A所涉及的实施例中其他关联部分，此处不再赘述。
步骤S6203，网络设备根据更改后的终端能力向终端发送任务指示。
步骤S6203的可选实现方式可以参见图3的步骤S305、图5A的步骤S5104的可选实现方式、及图3、图5A所涉及的实施例中其他关联部分，此处不再赘述。
在一些实施例中，上述方法可以包括上述通信系统侧、终端侧、网络设备侧等的实施例所述的方法，此处不再赘述。
图6C是根据本公开实施例示出的通信方法的交互示意图。如图6C所示，本公开实施例涉及通信方法，上述方法包括：
步骤S6301，终端确定终端的能力发生更改，向网络设备发送第一指示信息，第一指示信息用于指示终端的能力发生更改。
步骤S6301的可选实现方式可以参见图3的步骤S301和步骤S303、图4A的步骤S4101的可选实现方式、及图3、图4A所涉及的实施例中其他关联部分，此处不再赘述。
步骤S6302，网络设备接收终端发送的第一指示信息。
步骤S6302的可选实现方式可以参见图3的步骤S303、图5A的步骤S5102的可选实现方式、及图3、图5A所涉及的实施例中其他关联部分，此处不再赘述。
步骤S6303，网络设备根据第一指示信息确定更改后的终端能力。
步骤S6303的可选实现方式可以参见图3的步骤S304、图5A的步骤S5103的可选实现方式、及图3、图5A所涉及的实施例中其他关联部分，此处不再赘述。
步骤S6304，网络设备根据更改后的终端能力向终端发送任务指示。
步骤S6304的可选实现方式可以参见图3的步骤S305、图5A的步骤S5104的可选实现方式、及图3、图5A所涉及的实施例中其他关联部分，此处不再赘述。
在一些实施例中，上述方法可以包括上述通信系统侧、终端侧、网络设备侧等的实施例所述的方法，此处不再赘述。
下面介绍本公开实施例示出的一种通信方法。由终端执行以下处理：
实施例1、当UE的能力发生更改时，向网络上报第一指示，指示能力更改。
作为实施例，所述能力可以为支持的AI模型或者支持的AI功能。所述AI模型可以通过模型ID标识，AI功能可以通过AI功能ID标识。
作为实施例，所述能力更改可以为增加支持新的能力，也可以为不再支持之前支持的能力。
实施例2、基于实施例1，所述第一指示，指示不再支持的能力。
作为实施例，所述不再支持的能力为UE之前上报指示支持的能力。
作为实施例，可以指示之前上报能力的序号。
实施例3、基于实施例1，当UE的能力发生更改，并且网络指示UE使用不支持的能力时，向网络发送第一指示。
作为实施例，网络可能指示UE激活或者切换AI模型或者AI功能，但是UE不支持指示的AI模型或者AI功能。
实施例4、基于实施例1，当UE的能力发生更改，并且UE存储了不支持的能力配置时，向网络发送第一指示。
作为实施例，UE可能存储多个AI模型，UE的能力变化导致UE不支持存储的部分AI模型。
实施例5、基于实施例1，当UE的能力发生更改时，等待下一个周期，向网络上报第一指示。所述周期由网络配置。
作为实施例，如果UE的能力未发生更改，周期到达时不上报第一指示。
实施例6、基于实施例1，当UE的特定能力发生更改时，向网络上报第一指示。所述特定的能力由网络指示。
实施例7、基于实施例1，第一指示可以携带时间信息，所述时间信息指示能力更改持续的时长，在所述时长之后恢复当前支持的能力。
作为实施例，所述时间信息可以为一个时长，也可以为UTC时间。
在本公开实施例中，部分或全部步骤、其可选实现方式可以与其他实施例中的部分或全部步骤任意组合，也可以与其他实施例的可选实现方式任意组合。
本公开实施例还提出用于实现以上任一方法的装置，例如，提出一装置，上述装置包括用以实现以上任一方法中终端所执行的各步骤的单元或模块。再如，还提出另一装置，包括用以实现以上任一方法中网络设备(例如接入网设备、核心网功能节点、核心网设备等)所执行的各步骤的单元或模块。
应理解以上装置中各单元或模块的划分仅是一种逻辑功能的划分，在实际实现时可以全部或部分集成到一个物理实体上，也可以物理上分开。此外，装置中的单元或模块可以以处理器调用软件的形式实现：例如装置包括处理器，处理器与存储器连接，存储器中存储有指令，处理器调用存储器中存储的指令，以实现以上任一方法或实现上述装置各单元或模块的功能，其中处理器例如为通用处理器，例如中央处理单元(Central Processing Unit，CPU)或微处理器，存储器为装置内的存储器或装置外的存储器。或者，装置中的单元或模块可以以硬件电路的形式实现，可以通过对硬件电路的设计实现部分或全部单元或模块的功能，上述硬件电路可以理解为一个或多个处理器；例如，在一种实现中，上述硬件电路为专用集成电路(application-specific integrated circuit，ASIC)，通过对电路内元件逻辑关系的设计，实现以上部分或全部单元或模块的功能；再如，在另一种实现中，上述硬件电路为可以通过可编程逻辑器件(programmable logic device，PLD)实现，以现场可编程门阵列(Field Programmable Gate Array，FPGA)为例，其可以包括大量逻辑门电路，通过配置文件来配置逻辑门电路之间的连接关系，从而实现以上部分或全部单元或模块的功能。以上装置的所有单元或模块可以全部通过处理器调用软件的形式实现，或全部通过硬件电路的形式实现，或部分通过处理器调用软件的形式实现，剩余部分通过硬件电路的形式实现。
在本公开实施例中，处理器是具有信号处理能力的电路，在一种实现中，处理器可以是具有指令读取与运行能力的电路，例如中央处理单元(Central Processing Unit，CPU)、微处理器、图形处理器(graphics processing unit，GPU)(可以理解为微处理器)、或数字信号处理器(digital signal processor，DSP)等；在另一种实现中，处理器可以通过硬件电路的逻辑关系实现一定功能，上述硬件电路的逻辑关系是固定的或可以重构的，例如处理器为专用集成电路(application-specific integrated circuit，ASIC)或可编程逻辑器件(programmable logic device，PLD)实现的硬件电路,例如FPGA。在可重构的硬件电路中，处理器加载配置文档，实现硬件电路配置的过程，可以理解为处理器加载指令，以实现以上部分或全部单元或模块的功能的过程。此外，还可以是针对人工智能设计的硬件电路，其可以理解为ASIC，例如神经网络处理单元(Neural Network Processing Unit，NPU)、张量处理单元(Tensor Processing Unit，TPU)、深度学习处理单元(Deep learning Processing Unit，DPU)等。
图7A是本公开实施例提出的终端的结构示意图。如图7A所示，终端7100可以包括：收发模块7101、处理模块7102等中的至少一者。在一些实施例中，上述收发模块用于确定终端的能力发生更改，向网络设备发送第一指示信息，第一指示信息用于指示终端的能力发生更改。可选地，上述收发模块用于执行以上任一方法中终端101执行的发送和/或接收等通信步骤(例如步骤S303、步骤S305， 但不限于此)中的至少一者，此处不再赘述。可选地，上述处理模块用于执行以上任一方法中终端101执行的其他步骤(例如步骤S301、步骤S302，但不限于此)中的至少一者，此处不再赘述。
图7B是本公开实施例提出的网络设备的结构示意图。如图7B所示，网络设备7200可以包括：收发模块7201、处理模块7202等中的至少一者。在一些实施例中，上述收发模块用于接收终端发送的第一指示信息，第一指示信息用于指示终端的能力发生更改。在一些实施例中，上述处理模块用于根据第一指示信息确定更改后的终端的能力。在一些实施例中，上述处理模块用于根据更改后的终端的能力向终端发送任务指示。可选地，上述收发模块用于执行以上任一方法中网络设备102执行的发送和/或接收等通信步骤(例如步骤S303、步骤S305，但不限于此)中的至少一者，此处不再赘述。可选地，上述处理模块用于执行以上任一方法中网络设备102执行的其他步骤(例如步骤S304，但不限于此)中的至少一者，此处不再赘述。
在一些实施例中，收发模块可以包括发送模块和/或接收模块，发送模块和接收模块可以是分离的，也可以集成在一起。可选地，收发模块可以与收发器相互替换。
在一些实施例中，处理模块可以是一个模块，也可以包括多个子模块。可选地，上述多个子模块分别执行处理模块所需执行的全部或部分步骤。可选地，处理模块可以与处理器相互替换。
图8A是本公开实施例提出的通信设备8100的结构示意图。通信设备8100可以是网络设备(例如接入网设备、核心网设备等)，也可以是终端(例如用户设备等)，也可以是支持网络设备实现以上任一方法的芯片、芯片系统、或处理器等，还可以是支持终端实现以上任一方法的芯片、芯片系统、或处理器等。通信设备8100可用于实现上述方法实施例中描述的方法，具体可以参见上述方法实施例中的说明。
如图8A所示，通信设备8100包括一个或多个处理器8101。处理器8101可以是通用处理器或者专用处理器等，例如可以是基带处理器或中央处理器。基带处理器可以用于对通信协议以及通信数据进行处理，中央处理器可以用于对通信装置(如，基站、基带芯片，终端设备、终端设备芯片，DU或CU等)进行控制，执行程序，处理程序的数据。可选地，通信设备8100用于执行以上任一方法。可选地，一个或多个处理器8101用于调用指令以使得通信设备8100执行以上任一方法。
在一些实施例中，通信设备8100还包括一个或多个收发器8102。在通信设备8100包括一个或多个收发器8102时，收发器8102执行上述方法中的发送和/或接收等通信步骤(例如步骤S303、步骤S305，但不限于此)中的至少一者，处理器8101执行其他步骤(例如步骤S301、步骤S302、步骤S304，但不限于此)中的至少一者。在可选的实施例中，收发器可以包括接收器和/或发送器，接收器和发送器可以是分离的，也可以集成在一起。可选地，收发器、收发单元、收发机、收发电路、接口电路、接口等术语可以相互替换，发送器、发送单元、发送机、发送电路等术语可以相互替换，接收器、接收单元、接收机、接收电路等术语可以相互替换。
在一些实施例中，通信设备8100还包括用于存储数据的一个或多个存储器8103。可选地，全部或部分存储器8103也可以处于通信设备8100之外。在可选的实施例中，通信设备8100可以包括一 个或多个接口电路8104。可选地，接口电路8104与存储器8102连接，接口电路8104可用于从存储器8102或其他装置接收数据，可用于向存储器8102或其他装置发送数据。例如，接口电路8104可读取存储器8102中存储的数据，并将该数据发送给处理器8101。
以上实施例描述中的通信设备8100可以是网络设备或者终端，但本公开中描述的通信设备8100的范围并不限于此，通信设备8100的结构可以不受图8A的限制。通信设备可以是独立的设备或者可以是较大设备的一部分。例如所述通信设备可以是：1)独立的集成电路IC，或芯片，或，芯片系统或子系统；(2)具有一个或多个IC的集合，可选地，上述IC集合也可以包括用于存储数据，程序的存储部件；(3)ASIC，例如调制解调器(Modem)；(4)可嵌入在其他设备内的模块；(5)接收机、终端设备、智能终端设备、蜂窝电话、无线设备、手持机、移动单元、车载设备、网络设备、云设备、人工智能设备等等；(6)其他等等。
图8B是本公开实施例提出的芯片8200的结构示意图。对于通信设备8100可以是芯片或芯片系统的情况，可以参见图8B所示的芯片8200的结构示意图，但不限于此。
芯片8200包括一个或多个处理器8201。芯片8200用于执行以上任一方法。
在一些实施例中，芯片8200还包括一个或多个接口电路8202。可选地，接口电路、接口、收发管脚等术语可以相互替换。在一些实施例中，芯片8200还包括用于存储数据的一个或多个存储器8203。可选地，全部或部分存储器8203可以处于芯片8200之外。可选地，接口电路8202与存储器8203连接，接口电路8202可以用于从存储器8203或其他装置接收数据，接口电路8202可用于向存储器8203或其他装置发送数据。例如，接口电路8202可读取存储器8203中存储的数据，并将该数据发送给处理器8201。
在一些实施例中，接口电路8202执行上述方法中的发送和/或接收等通信步骤(例如步骤S303、步骤S305，但不限于此)中的至少一者。接口电路8202执行上述方法中的发送和/或接收等通信步骤例如是指：接口电路8202执行处理器8201、芯片8200、存储器8203或收发器件之间的数据交互。在一些实施例中，处理器8201执行其他步骤(例如步骤S301、步骤S302、步骤S304，但不限于此)中的至少一者。
虚拟装置、实体装置、芯片等各实施例中所描述的各模块和/或器件可以根据情况任意组合或者分离。可选地，部分或全部步骤也可以由多个模块和/或器件协作执行，此处不做限定。
本公开还提出存储介质，上述存储介质上存储有指令，当上述指令在通信设备8100上运行时，使得通信设备8100执行以上任一方法。可选地，上述存储介质是电子存储介质。可选地，上述存储介质是计算机可读存储介质，但不限于此，其也可以是其他装置可读的存储介质。可选地，上述存储介质可以是非暂时性(non-transitory)存储介质，但不限于此，其也可以是暂时性存储介质。
本公开还提出程序产品，上述程序产品被通信设备8100执行时，使得通信设备8100执行以上任一方法。可选地，上述程序产品是计算机程序产品。
本公开还提出计算机程序，当其在计算机上运行时，使得计算机执行以上任一方法。

Claims (21)

  1. 一种通信方法，其特征在于，所述方法包括：
    终端确定所述终端与人工智能AI相关的能力发生更改，向网络设备发送第一指示信息，所述第一指示信息用于指示所述终端与AI相关的能力发生更改。
  2. 根据权利要求1所述的方法，其特征在于，
    所述终端的能力包括以下至少一种：
    所述终端支持的AI模型；
    所述终端支持的AI功能；
    所述终端支持的第一生效条件，所述第一生效条件为用于使能AI模型的条件；
    所述终端支持的第二生效条件，所述第二生效条件为用于使能AI功能的条件。
  3. 根据权利要求2所述的方法，其特征在于，所述终端确定所述终端与AI相关的能力发生更改，包括：
    确定符合以下至少一种条件，确定所述终端的能力发生更改：
    确定所述终端支持新的AI模型；
    确定所述终端支持新的AI功能；
    确定所述终端不再支持曾经支持过的AI模型；
    确定所述终端不再支持曾经支持过的AI功能；
    确定所述终端支持的所述第一生效条件发生更改；
    确定所述终端支持的所述第二生效条件发生更改。
  4. 根据权利要求1-3中任一项所述的方法，其特征在于，在所述向网络设备发送第一指示信息之前，包括：
    接收所述网络设备发送的第二指示信息，所述第二指示信息用于指示所述终端使用第一AI模型和/或第一AI功能；
    确定所述终端不支持所述第一AI模型和/或所述终端不支持所述第一AI功能。
  5. 根据权利要求1-3中任一项所述的方法，其特征在于，在所述向网络设备发送第 一指示信息之前，包括：
    确定所述终端上存储有所述终端不支持的AI模型和/或不支持的AI功能的配置信息。
  6. 根据权利要求1-3中任一项所述的方法，其特征在于，在所述向网络设备发送第一指示信息之前，包括：
    确定发生更改的能力对应的AI模型包括预设AI模型，和/或，确定发生更改的能力对应的AI功能包括预设AI功能。
  7. 根据权利要求6所述的方法，其特征在于，
    所述预设AI模型和/或所述预设AI功能是所述网络设备配置的。
  8. 根据权利要求1-7中任一项所述的方法，其特征在于，所述向网络设备发送第一指示信息，包括：
    所述终端确定当前时间进入下一个信息发送周期，向所述网络设备发送所述第一指示信息。
  9. 根据权利要求1-8中任一项所述的方法，其特征在于，
    所述第一指示信息包括第一模型标识和/或第一功能标识，其中，所述第一模型标识用于确定所述终端支持的AI模型，所述第一功能标识用于确定所述终端支持的AI功能。
  10. 根据权利要求9所述的方法，其特征在于，
    所述第一指示信息还包括第一时间信息，其中，所述第一时间信息指示所述终端支持所述第一模型标识对应的AI模型的持续时长，和/或，指示所述终端支持所述第一功能标识对应的AI功能的持续时长。
  11. 根据权利要求1-8中任一项所述的方法，其特征在于，
    所述第一指示信息包括第二模型标识和/或第二功能标识，其中，所述第二模型标识用于确定所述终端不支持的AI模型，所述第二功能标识用于确定所述终端不支持的AI功能。
  12. 根据权利要求11所述的方法，其特征在于，
    所述第一指示信息还包括第二时间信息，其中，所述第二时间信息指示所述终端不支持所述第二模型标识对应的AI模型的持续时长，和/或，指示所述终端不支持所述第二功能标识对应的AI功能的持续时长。
  13. 根据权利要求1-8中任一项所述的方法，其特征在于，
    所述第一指示信息包括指示信息序号，所述指示信息序号用于所述网络设备确定所述终端在发送所述第一指示信息之前向所述网络设备发送的第三指示信息，并用于所述网络设备确定所述终端不再支持在所述第三指示信息中指示支持的AI模型和/或AI功能。
  14. 根据权利要求13所述的方法，其特征在于，
    所述第一指示信息还包括第三时间信息，其中，所述第三时间信息用于指示所述终端不支持所述第三指示信息中指示支持的AI模型和/或AI功能的持续时长。
  15. 一种通信方法，其特征在于，所述方法包括：
    网络设备接收终端发送的第一指示信息，所述第一指示信息用于指示所述终端与人工智能AI相关的能力发生更改；
    根据所述第一指示信息确定更改后的终端能力。
  16. 一种终端，其特征在于，包括：
    收发模块，用于确定所述终端与人工智能AI相关的能力发生更改，向网络设备发送第一指示信息，所述第一指示信息用于指示所述终端与AI相关的能力发生更改。
  17. 一种网络设备，其特征在于，包括：
    收发模块，用于接收终端发送的第一指示信息，所述第一指示信息用于指示所述终端与人工智能AI相关的能力发生更改；
    处理模块，用于根据所述第一指示信息确定更改后的终端能力。
  18. 一种终端，其特征在于，包括：
    一个或多个处理器；
    耦合于所述处理器上的存储器，所述存储器上存储有可执行指令，当所述可执行指令由所述处理器执行时，使所述终端执行权利要求1-14中任一项所述的通信方法。
  19. 一种网络设备，其特征在于，所述网络设备包括：
    一个或多个处理器；
    耦合于所述处理器上的存储器，所述存储器上存储有可执行指令，当所述可执行指令由所述处理器执行时，使所述网络设备执行权利要求15所述的通信方法。
  20. 一种通信系统，其特征在于，包括终端和网络设备，其中，所述终端被配置为实现权利要求1-14中任一项所述的通信方法，所述网络设备被配置为实现权利要求15所述的通信方法。
  21. 一种存储介质，所述存储介质存储有指令，其特征在于，当所述指令在通信设备上运行时，使得所述通信设备执行权利要求1-15中任一项所述的通信方法。
PCT/CN2023/118387 2023-09-12 2023-09-12 通信方法、终端、网络设备、通信系统及存储介质 Pending WO2025054833A1 (zh)

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WO2021258370A1 (zh) * 2020-06-24 2021-12-30 北京小米移动软件有限公司 一种通信处理方法、通信处理装置及存储介质
CN115835182A (zh) * 2021-09-16 2023-03-21 华为技术有限公司 一种人工智能ai通信方法及装置
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WO2021258370A1 (zh) * 2020-06-24 2021-12-30 北京小米移动软件有限公司 一种通信处理方法、通信处理装置及存储介质
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