Method for supporting wireless communication network data collection
The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method performed by a first entity in a wireless communication network is provided. The method includes sending a first message including a user equipment (UE) model information request to a second entity, and receiving a second message including UE model information from the second entity in response to sending the first message.
1 . A method performed by a first entity for data collection in a wireless communication network, the method comprising:
sending a first message including a request for user equipment (UE) model information and information about content to be reported including a model download address and an inference content reporting situation indicating a situation that a UE reports inference content of a UE model, to a second entity; and
receiving a second message including the UE model information including the model download address and the inference content reporting situation from the second entity in response to sending the first message.
2 . The method of claim 1 ,
wherein the content comprises information on activation of the UE model and information on deactivation of the UE model.
3 . The method of claim 1 ,
wherein the first message comprises one or more of the following:
UE identification,
a validity range of content of the first message,
a handover time,
UE model information reporting request indication,
a reporting registration request,
a reporting time interval,
reporting time,
an information reporting type,
an information reporting period, and
triggering event configuration for reporting,
wherein the content to be reported includes one or more of the following:
an index and/or a list of indexes of model(s),
a name of a model,
a function of a model,
a state of a model,
a model integrity state,
a state of an incompletely downloaded model,
a model download proportion,
a suggested action,
a suggested action for an incompletely downloaded model,
model accuracy,
a model activation condition,
a model deactivation condition,
model activation time, and
model deactivation time, and
wherein the inference content reporting situation includes one or more of the following:
an inference content reporting type,
an inference content reporting period,
a triggering event for inference content reporting,
reported inference content,
validity time of the inference content requested to be reported and/or reported inference content, and
accuracy.
4 . The method of claim 1 ,
wherein the second message comprises model information content, and
wherein the model information content comprises information on activation of the UE model and information on deactivation of the UE model.
5 . The method of claim 1 ,
wherein the second message comprises one or more of the following:
UE identification,
a validity range of content of the second message,
confirmation that the content can be reported,
a triggering event, and
model information content,
wherein the model information content includes one or more of the following:
an index and/or a list of indexes of model(s),
a name of a model,
a function of a model,
a state of a model,
a model integrity state,
a state of an incompletely downloaded model,
a suggested action,
a suggested action for an incompletely downloaded model,
model accuracy,
a model download proportion,
a model activation condition,
a model deactivation condition,
model activation time, and
model deactivation time, and
wherein the inference content reporting situation includes one or more of the following:
an inference content reporting type,
an inference content reporting period,
a triggering event for inference content reporting,
reported inference content,
validity time of the reported inference content, and
accuracy.
6 . The method of claim 1 ,
wherein the method further comprises receiving a fourth message including a user equipment (UE) model management decision from the second entity, and
wherein the fourth message comprises one or more of the following:
UE identification,
a validity range of content of the fourth message, and
a model management decision,
wherein the model management decision includes one or more of the following:
an index and/or a list of indexes of model(s),
a name of a model,
a function of a model,
a state of a model,
a state of an incompletely downloaded model,
a decision for a model,
a decision for an incompletely downloaded model,
a list of active models,
a model activation indication,
a model deactivation indication,
model activation time,
model deactivation time,
a model activation condition,
a model deactivation condition,
a forwarding strategy applicable to a completely downloaded model,
a model forwarding strategy applicable to an incompletely downloaded model,
a model forwarding proportion, and
an inference content reporting decision, and
wherein the inference content reporting decision includes one or more of the following:
an inference content reporting type,
an inference content reporting period,
a triggering event for inference content reporting,
reported inference content,
validity time of the reported inference content,
inference content requested to be reported,
validity time of the inference content requested to be reported, and accuracy.
7 . The method of claim 1 , wherein the method further comprises:
sending a fifth message including a UE model forwarding request to the second entity; and
receiving a sixth message including a UE model from the second entity,
wherein the fifth message comprises one or more of the following:
UE identification,
a validity range of content of the fifth message,
a handover time,
model forwarding request identification,
a model forwarding registration request,
a model forwarding time interval,
model forwarding time,
a model forwarding proportion,
a model forwarding type,
triggering event configuration for model forwarding,
a model download address,
a model download proportion, and
content to be forwarded, and
wherein the content to be forwarded includes one or more of the following:
an index and/or a list of indexes of model(s),
a name of a model,
a function of a model,
a state of a model,
model accuracy,
a model type,
a feature parameter of a model,
an input parameter type of a model,
constraints of input parameters of a model,
output parameter types of a model,
preprocessing methods of input parameters of a model,
post-processing methods of output parameters of a model, and
validity time of model inference content.
8 . The method of claim 7 ,
wherein the sixth message comprises one or more of the following:
UE identification,
a validity range of content of the sixth message,
confirmation that the content can be forwarded,
a model download proportion,
a model forwarding proportion,
a triggering event for model forwarding,
content to be forwarded, and
distribution content,
wherein the content to be forwarded includes one or more of the following:
an index and/or a list of indexes of model(s),
a name of a model,
a function of a model,
a state of a model,
model accuracy,
a type of a model,
a feature parameter of a model,
an input parameter type of a model,
constraints of input parameters of a model,
output parameter types of a model,
preprocessing methods of input parameters of a model,
post-processing methods of output parameters of a model, and
validity time of model inference content, and
wherein the distribution content includes one or more of the following:
an index and/or a list of indexes of model(s),
a name of a model,
a function of a model,
a state of a model,
model accuracy,
a type of a model,
a feature parameter of a model,
an input parameter type of a model,
constraints of input parameters of a model,
output parameter types of a model,
preprocessing methods of input parameters of a model, and
post-processing methods of output parameters of a model.
9 . The method of claim 1 , wherein the method further comprises receiving a tenth message including computing power information from the second entity.
10 . The method of claim 1 , wherein the method further comprises:
sending an eighth message including information for requesting computing power to the second entity; and
receiving a ninth message including a response to the eighth message or a tenth message including computing power information from the second entity,
wherein the eighth message comprises one or more of the following:
a validity range of content of the eighth message,
prediction identification,
a prediction registration request,
a registration request,
a reporting time interval,
reporting time,
a predicted information reporting time interval,
predicted information reporting time,
validity time of the prediction result of predicted information,
a computing power information reporting type,
a computing power information reporting period,
triggering event configuration for computing power information reporting,
a predicted computing power information reporting type,
a predicted computing power information reporting period, triggering event configuration for predicted computing power information reporting,
computing power information content to be reported, and
predicted computing power information content to be reported, and
wherein the ninth message comprises one or more of the following:
a validity range of content of the ninth message,
confirmation that the content can be reported,
confirmation that the predicted computing power information content can be reported,
a triggering event for computing power information reporting,
a triggering event for predicted computing power information reporting,
computing power information reporting content,
predicted computing power information reporting content,
accuracy of predicted computing power information, and
validity time of predicted computing power information.
11 . The method of claim 10 , wherein the tenth message comprises one or more of the following:
a validity range of content of the tenth message;
a triggering event for computing power information reporting:
a triggering event for predicted computing power information reporting:
computing power information reporting content;
predicted computing power information reporting content;
accuracy of predicted computing power information; and
validity time of predicted computing power information.
12 . A method performed by a second entity for data collection in a wireless communication network, the method comprising:
receiving a first message including a request for user equipment (UE) model information and information about content to be reported including a model download address and an inference content reporting situation indicating a situation that a UE reports inference content of a UE mode, from a first entity; and
sending a second message including the UE model information including the model download address and the inference content reporting situation to the first entity.
13 . A first entity in a wireless communication network, the first entity comprising:
a transceiver; and
a processor coupled to the transceiver and configured to:
send a first message including a request for user equipment (UE) model information and information about content to be reported including a model download address and an inference content reporting situation indicating a situation that a UE reports inference content of a UE model, to a second entity, and
receive a second message including the UE model information including the model download address and the inference content reporting situation from the second entity in response to sending the first message.
14 . The first entity of claim 13 ,
wherein the content comprises information on activation of the UE model and information on deactivation of the UE model.
15 . The first entity of claim 13 ,
wherein the first message comprises one or more of the following:
UE identification,
a validity range of content of the first message,
a handover time,
UE model information reporting request indication,
a reporting registration request,
a reporting time interval,
reporting time,
an information reporting type,
an information reporting period, and
triggering event configuration for reporting,
wherein the content to be reported includes one or more of the following:
an index and/or a list of indexes of model(s),
a name of a model,
a function of a model,
a state of a model,
a model integrity state,
a state of an incompletely downloaded model,
a model download proportion,
a suggested action,
a suggested action for an incompletely downloaded model,
model accuracy,
a model activation condition,
a model deactivation condition,
model activation time,
model deactivation time, and
an inference content reporting situation, and
wherein the inference content reporting situation includes one or more of the following:
an inference content reporting type,
an inference content reporting period,
a triggering event for inference content reporting,
reported inference content,
validity time of the inference content requested to be reported and/or reported inference content, and
accuracy.
16 . The first entity of claim 13 ,
wherein the second message comprises one or more of the following:
UE identification,
a validity range of content of the second message,
confirmation that the content can be reported,
a triggering event, and
model information content,
wherein the model information content includes one or more of the following:
an index and/or a list of indexes of model(s),
a name of a model,
a function of a model,
a state of a model,
a model integrity state,
a state of an incompletely downloaded model,
a suggested action,
a suggested action for an incompletely downloaded model,
model accuracy,
a model download proportion,
a model activation condition,
a model deactivation condition,
model activation time,
model deactivation time, and
an inference content reporting situation, and
wherein the inference content reporting situation includes one or more of the following:
an inference content reporting type,
an inference content reporting period,
a triggering event for inference content reporting,
reported inference content,
validity time of the reported inference content, and
accuracy.
17 . The first entity of claim 13 ,
wherein the processor is further configured to receive a fourth message including a user equipment (UE) model management decision from the second entity,
wherein the fourth message comprises one or more of the following:
UE identification,
a validity range of content of the fourth message, and
a model management decision,
wherein the model management decision includes one or more of the following:
an index and/or a list of indexes of model(s),
a name of a model,
a function of a model,
a state of a model,
a state of an incompletely downloaded model,
a decision for a model,
a decision for an incompletely downloaded model,
a list of active models,
a model activation indication,
a model deactivation indication,
model activation time,
model deactivation time,
a model activation condition,
a model deactivation condition,
a forwarding strategy applicable to a completely downloaded model,
a model forwarding strategy applicable to an incompletely downloaded model,
a model forwarding proportion, and
an inference content reporting decision, and
wherein the inference content reporting decision includes one or more of the following:
an inference content reporting type,
an inference content reporting period,
a triggering event for inference content reporting,
reported inference content,
validity time of the reported inference content,
inference content requested to be reported,
validity time of the inference content requested to be reported, and
accuracy.
18 . A second entity in a wireless communication network, the second entity comprising:
a transceiver; and
a processor coupled to the transceiver and configured to:
receive a first message including a request for user equipment (UE) model information and information about content to be reported including a model download address and an inference content reporting situation indicating a situation that a UE reports inference content of a UE model, from a first entity; and
send a second message including the UE model information including the model download address and the inference content reporting situation to the first entity.
19 . The second entity of claim 18 ,
wherein the first message comprises one or more of the following:
UE identification,
a validity range of content of the first message,
a handover time,
UE model information reporting request indication,
a reporting registration request,
a reporting time interval,
reporting time,
an information reporting type,
an information reporting period,
triggering event configuration for reporting, and
content to be reported,
wherein the content to be reported includes one or more of the following:
an index and/or a list of indexes of model(s),
a name of a model,
a function of a model,
a state of a model,
a model integrity state,
a state of an incompletely downloaded model,
a model download address,
a model download proportion,
a suggested action,
a suggested action for an incompletely downloaded model,
model accuracy,
a model activation condition,
a model deactivation condition,
model activation time,
model deactivation time, and
an inference content reporting situation, and
wherein the inference content reporting situation includes one or more of the following:
an inference content reporting type,
an inference content reporting period,
a triggering event for inference content reporting,
reported inference content,
validity time of the inference content requested to be reported and/or reported inference content, and
accuracy.
20 . The second entity of claim 18 ,
wherein the second message comprises one or more of the following:
UE identification,
a validity range of content of the second message,
confirmation that the content can be reported,
a triggering event, and
model information content,
wherein the model information content includes one or more of the following:
an index and/or a list of indexes of model(s),
a name of a model,
a function of a model,
a state of a model,
a model integrity state,
a state of an incompletely downloaded model,
a suggested action,
a suggested action for an incompletely downloaded model,
model accuracy,
a model download address,
a model download proportion,
a model activation condition,
a model deactivation condition,
model activation time,
model deactivation time, and
an inference content reporting situation, and
wherein the inference content reporting situation includes one or more of the following:
an inference content reporting type,
an inference content reporting period,
a triggering event for inference content reporting,
reported inference content,
validity time of the reported inference content, and
accuracy.