INFORMATION INDICATION AND PROCESSING METHODS AND APPARATUSES THEREFOR
An information indication apparatus includes: processor circuitry configured to determine whether to stop or update or switch an AI/ML model or an AI/ML model group for a signal processing function; and a transmitter configured to transmit indication information to a second network device or a terminal equipment or a core network device in a case where it is determined to stop or update or switch the AI/ML model or the AI/ML model group.
1 . An information indication apparatus, comprising:
processor circuitry configured to determine whether to stop or update or switch an AI/ML model or an AI/ML model group for a signal processing function; and
a transmitter configured to transmit indication information to a second network device or a terminal equipment or a core network device in a case where it is determined to stop or update or switch the AI/ML model or the AI/ML model group.
2 . The apparatus according to claim 1 , wherein first indication information for stopping the AI/ML model or the AI/ML model group, and/or second indication information for updating the AI/ML model or the AI/ML model group, is/are transmitted to the second network device via an Xn interface.
3 . The apparatus according to claim 2 , wherein the first indication information is carried by an XnAP message, the XnAP message comprising a configuration update message, an Xn setup message or a resource state update message; and
the first indication information comprises at least one of the following: identification information of the signal processing function, identification information of the AI/ML model, version information of the AI/ML model, identification information of the AI/ML model group, intra-group identification information of the AI/ML model group, type information of the AI/ML model, storage size information of the AI/ML model or the AI/ML model group, a model exclusion list and/or a model permission list, or model identification information and model performance information and/or model operation information corresponding to the model identification information.
4 . The apparatus according to claim 2 , wherein the first indication information is used by the second network device to determine whether to stop an AI/ML model or an AI/ML model group in the second network device, and/or, determine whether to stop an AI/ML model or an AI/ML model group in a terminal equipment within a cell,
wherein in a case where at least one piece of identification information of the signal processing function to which the AI/ML model in the second network device corresponds, identification information of the AI/ML model in the second network device, identification information of the AI/ML model group in the second network device, intra-group identification information of the AI/ML model group in the second network device or version information of the AI/ML model in the second network device is in consistence with the first indication information, the second network device determines to stop the AI/ML model in the second network device; and/or
in a case where at least one piece of identification information of the signal processing function to which the AI/ML model in a terminal equipment within the cell corresponds, identification information of the AI/ML model in a terminal equipment within the cell, identification information of the AI/ML model group in a terminal equipment within the cell, intra-group identification information of the AI/ML model group in a terminal equipment within the cell or version information of the AI/ML model in a terminal equipment within the cell is in consistence with the first indication information, the second network device notifies the terminal equipment to stop the AI/ML model in the terminal equipment.
5 . The apparatus according to claim 2 , wherein the second indication information is carried by an XnAP message, the XnAP message comprising a configuration update message, an Xn setup message or a resource state update message,
wherein the second indication information comprises at least one piece of the following: identification information of the signal processing function, identification information of a new AI/ML model, identification information of a new AI/ML model group, intra-group identification information of a new AI/ML model group, version information of a new AI/ML model, identification information of an original AI/ML model, identification information of an original AI/ML model group, intra-group identification information of an original AI/ML model group, or version information of an original AI/ML model.
6 . The apparatus according to claim 2 , wherein the second indication information is used by the second network device to determine whether to update an AI/ML model or an AI/ML model group in the second network device, and/or, determine whether to update an AI/ML model or an AI/ML model group in a terminal equipment within a cell,
wherein in a case where identification information of the signal processing function to which the AI/ML model in the second network device corresponds is in consistence with the second indication information, and the identification information of the AI/ML model is not in consistence with the second indication information and/or version information of the AI/ML model is lower than version information of the AI/ML model in the second indication information, the second network device determines to update the AI/ML model in the second network device; and/or
in a case where identification information of the signal processing function to which the AI/ML model in the terminal equipment within the cell corresponds is in consistence with the second indication information, and identification information of the AI/ML model is not in consistence with the second indication information and/or version information of the AI/ML model is lower than version information of the AI/ML model in the second indication information, the second network device notifies the terminal equipment to update the AI/ML model in the terminal equipment.
7 . The apparatus according to claim 1 , wherein first indication information for stopping the AI/ML model or the AI/ML model group, and/or second indication information for updating the AI/ML model or the AI/ML model group, is/are transmitted to the core network device via an NG interface.
8 . The apparatus according to claim 7 , wherein the first indication information is carried by an NGAP message, the NGAP message comprising an RAN configuration update message, an NG setup message, an Xn setup message or an RAN configuration transfer message;
the first indication information comprises at least one of the following: identification information of the signal processing function, identification information of the AI/ML model, version information of the AI/ML model, identification information of the AI/ML model group, intra-group identification information of the AI/ML model group, type information of the AI/ML model, storage size information of the AI/ML model or the AI/ML model group, a model exclusion list and/or a model permission list, or model identification information and model performance information and/or model operation information corresponding to the model identification information.
9 . The apparatus according to claim 7 , wherein the first indication information is used by the core network device to determine whether to stop an AI/ML model or an AI/ML model group in a network device and/or a terminal equipment within an area,
wherein in a case where at least one piece of identification information of a signal processing function to which the AI/ML model in the network device within the area corresponds, identification information of the AI/ML model, identification information of the AI/ML model group, intra-group identification information of the AI/ML model group or version information of the AI/ML model is in consistence with the first indication information, the core network device notifies the network device via an NGAP message to stop the AI/ML model or the AI/ML model group in the network device; and/or
in a case where at least one piece of identification information of a signal processing function to which the AI/ML model in the terminal equipment within the area corresponds, identification information of the AI/ML model, identification information of the AI/ML model group, intra-group identification information of the AI/ML model group or version information of the AI/ML model is in consistence with the first indication information, the core network device notifies the terminal equipment via an NAS message to stop the AI/ML model or the AI/ML model group in the terminal equipment.
10 . The apparatus according to claim 7 , wherein the second indication information is carried by an NGAP message, the NGAP message comprising an RAN configuration update message, an NG setup message, an Xn setup message or an RAN configuration transfer message;
the second indication information comprises at least one piece of the following: identification information of the signal processing function, identification information of a new AI/ML model, identification information of a new AI/ML model group, intra-group identification information of a new AI/ML model group, version information of a new AI/ML model, identification information of an original AI/ML model, identification information of an original AI/ML model group, intra-group identification information of an original AI/ML model group, or version information of an original AI/ML model.
11 . The apparatus according to claim 7 , wherein the second indication information is used by the core network device to determine whether to update an AI/ML model or an AI/ML model group in a network device and/or a terminal equipment within an area,
wherein in a case where identification information of a signal processing function to which the AI/ML model in the network device within the area corresponds is in consistence with the second indication information and identification information of the AI/ML model is not in consistence with the second indication information and/or version information of the AI/ML model is lower than version information of the AI/ML model in the second indication information, the core network notifies the network device via an NGAP message to update the AI/ML model in the network device; and/or
in a case where identification information of a signal processing function to which the AI/ML model in the terminal equipment within the area corresponds is in consistence with the second indication information and identification information of the AI/ML model is not in consistence with the second indication information and/or version information of the AI/ML model is lower than version information of the AI/ML model in the second indication information, the core network device notifies the terminal equipment via an NAS message to update the AI/ML model in the terminal equipment.
12 . The apparatus according to claim 1 , wherein the first indication information for stopping the AI/ML model or the AI/ML model group, and/or the second indication information for updating the AI/ML model or the AI/ML model group, is/are transmitted to one or more terminal equipments in a cell or an area via system information and/or a paging message.
13 . The apparatus according to claim 12 , wherein the first indication information comprises at least one of the following: identification information of the signal processing function, identification information of the AI/ML model, version information of the AI/ML model, identification information of the AI/ML model group, intra-group identification information of the AI/ML model group, type information of the AI/ML model, storage size information of the AI/ML model or the AI/ML model group, a model exclusion list and/or a model permission list, or model identification information and model performance information and/or model operation information corresponding to the model identification information.
14 . The apparatus according to claim 12 , wherein the first indication information is used by the terminal equipment to determine whether to stop the AI/ML model or the AI/ML model group in the terminal equipment,
wherein in a case where at least one piece of identification information of the signal processing function to which the AI/ML model in the terminal equipment corresponds, identification information of the AI/ML model, identification information of the AI/ML model group, intra-group identification information of the AI/ML model group or version information of the AI/ML model is in consistence with the first indication information, the terminal equipment determines to stop the AI/ML model in the terminal equipment.
15 . The apparatus according to claim 12 , wherein the second indication information comprises at least one of the following: identification information of the signal processing function, identification information of a new AI/ML model, identification information of a new AI/ML model group, intra-group identification information of the new AI/ML model group, version information of the new AI/ML model, identification information of an original AI/ML model, identification information of an original AI/ML model group, intra-group identification information of the original AI/ML model group, version information of the original AI/ML model, a model exclusion list and/or a model permission list, or model identification information and model performance information and/or model operation information corresponding to the model identification information.
16 . The apparatus according to claim 12 , wherein the second indication information is used by the terminal equipment to determine whether to update the AI/ML model or the AI/ML model group in the terminal equipment;
wherein in a case where identification information of the signal processing function to which the AI/ML model in the terminal equipment corresponds is in consistence with the second indication information and identification information of the AI/ML model is not in consistence with the second indication information and/or version information of the AI/ML model is lower than version information of the AI/ML model in the second indication information, the terminal equipment determines to update the AI/ML model in the terminal equipment.
17 . The apparatus according to claim 1 , wherein a terminal equipment in an inactive state acquires identification information of the AI/ML model and/or version information of the AI/ML model from system information, and in a case where the identification information of the AI/ML model in the terminal equipment is not in consistence with an acquired identification information and/or the version information of the AI/ML model is lower than an acquired version information, the terminal equipment determines to update the AI/ML model or the AI/ML model group in the terminal equipment,
wherein the terminal equipment downloads the updated AI/ML model or AI/ML model group from a cell, or loads the updated AI/ML model or AI/ML model group from a memory, or acquires the updated AI/ML model or AI/ML model group from the system information.
18 . The apparatus according to claim 1 , wherein a terminal equipment in an active state acquires identification information of the AI/ML model and/or version information of the AI/ML model from a target cell, and in a case where the identification information of the AI/ML model in the terminal equipment is not in consistence with an acquired identification information and/or the version information of the AI/ML model is lower than an acquired version information, the terminal equipment determines to update the AI/ML model or the AI/ML model group in the terminal equipment,
wherein the terminal equipment downloads the updated AI/ML model or AI/ML model group from the target cell, or loads the updated AI/ML model or AI/ML model group from a memory, or acquires the updated AI/ML model or AI/ML model group from system information.
19 . An information processing apparatus, comprising:
a receiver configured to receive indication information transmitted by a first network device; and
processor circuitry configured to stop or update or switch an AI/ML model or an AI/ML model group for a signal processing function according to the indication information.
20 . A communication system, comprising:
a network device configured to determine whether to stop or update or switch an AI/ML model or an AI/ML model group for a signal processing function, and transmit indication information to a second network device or a terminal equipment or a core network device in a case where it is determined to stop or update or switch the AI/ML model or the AI/ML model group.