METHOD AND SYSTEM FOR DETERMINING POTENTIAL ERROR SOURCE FOR TWO-SIDED MODELS
Various aspects of the present disclosure relate to a UE comprising at least one memory and at least one processor coupled with the at least one memory and configured to cause the UE to implement a first encoder of a two-sided model trained by a set of reference samples, determine, using a first set of information and at least one of the first encoder or input data, at least one possible source of error associated with the two-sided model, and transmit a message indicating the at least one possible source of error to a network entity.
1 . A user equipment (UE) for wireless communication, comprising:
at least one memory; and
at least one processor coupled with the at least one memory and configured to cause the UE to:
implement a first encoder of a two-sided model that has been trained by a set of reference samples;
determine, using a first set of information and at least one of the first encoder or input data, at least one possible source of error associated with the two-sided model; and
transmit a message indicating the at least one possible source of error to a network entity,
wherein the first set of information comprises at least one of:
a subset of a set of reference samples used to train the first encoder,
the subset of the set reference samples used to train the first encoder and a corresponding latent representation generated by a reference encoder,
a set of information regarding a decoder associated with the first encoder, and
a set of information regarding a reference encoder.
2 . The UE of claim 1 , wherein the at least one processor is further configured to cause the UE to receive the first set of information from the network entity.
3 . The UE of claim 1 , wherein the at least one processor is further configured to cause the UE to measure a radio channel, and wherein the input data is associated with the measurement of the radio channel.
4 . The UE of claim 3 , wherein the input data comprises at least one of a measured channel matrix of the radio channel and a precoder for the radio channel.
5 . The UE of claim 1 , wherein the at least one processor is further configured to cause the UE to transmit a request for the first set of information to the network entity based on an event triggered at the UE.
6 . The UE of claim 1 , wherein the first set of information further comprises at least one of a threshold value for determining the at least one possible source of error, and instructions for transmitting the message indicating the at least one possible source of error to the network entity.
7 . The UE of claim 6 , wherein the instructions for transmitting the message indicating the at least one possible source of error to the network entity comprises instructions for transmitting at least one of only the possible sources of error, a probability value associated with one or more possible source of error, and a similarity metric associated with one or more possible source of error.
8 . The UE of claim 1 , wherein the message indicating the at least one possible source of error comprises at least one identifier representing a respective possible source of error.
9 . The UE of claim 8 , wherein the at least one possible source of error indicated by the message comprises at least one of:
the first encoder,
a first decoder of the two-sided model,
a communication link between the UE and the network entity, and
data shift of the two-sided model.
10 . The UE of claim 8 , wherein the message indicating the at least one possible source of error further comprises at least one of:
a probability that the at least one possible source of error is the source of error, and
a similarity metric computed based on the first set of information received from the network entity.
11 . A processor for wireless communication, comprising:
at least one controller coupled with at least one memory and configured to cause the processor to:
implement a first encoder of a two-sided model that has been trained by a set of reference samples;
determine, using a first set of information and at least one of the first encoder or input data, at least one possible source of error associated with the two-sided model; and
transmit a message indicating the at least one possible source of error to a network entity,
wherein the first set of information comprises at least one of:
a subset of a set of reference samples used to train the first encoder,
the subset of the set reference samples used to train the first encoder and a corresponding latent representation generated by a reference encoder,
a set of information regarding a decoder associated with the first encoder, and
a set of information regarding a reference encoder.
12 . The processor of claim 11 , wherein the controller is further configured to cause the processor to receive the first set of information from the network entity.
13 . The processor of claim 11 , wherein the controller is further configured to cause the processor to measure a radio channel, and wherein the input data is associated with the measurement of the radio channel.
14 . The processor of claim 13 , wherein the input data comprises at least one of a measured channel matrix of the radio channel and a precoder for the radio channel.
15 . The processor of claim 11 , wherein the message indicating the at least one possible source of error comprises at least one identifier representing a respective possible source of error and at least one of:
the first encoder,
a first decoder of the two-sided model,
a communication link between the UE and the network entity, and
data shift of the two-sided model.
16 . The processor of claim 11 , wherein the message indicating the at least one possible source of error further comprises at least one of:
a probability that the at least one possible source of error is the source of error, and
a similarity metric computed based on the first set of information received from the network entity.
17 . A method performed by a user equipment (UE), the method comprising:
implementing a first encoder of a two-sided model that has been trained by a set of reference samples;
determining, using a first set of information and at least one of the first encoder or input data, at least one possible source of error associated with the two-sided model; and
transmitting a message indicating the at least one possible source of error to a network entity,
wherein the first set of information comprises at least one of:
a subset of a set of reference samples used to train the first encoder,
the subset of the set reference samples used to train the first encoder and a corresponding latent representation generated by a reference encoder,
a set of information regarding a decoder associated with the first encoder, and
a set of information regarding a reference encoder.
18 . A user equipment (UE) for wireless communication, comprising:
at least one memory; and
at least one processor coupled with the at least one memory and configured to cause the UE to:
implement a first encoder of a two-sided model that has been trained by a set of reference samples;
receive a first set of information comprising a set of test samples where the set of test samples are based on a subset of the set of reference samples used to train the first encoder from the network entity;
encode the set of test samples using the first encoder to create encoded data; and
transmit the second encoded data to the network entity.
19 . The UE of claim 18 , wherein the at least one processor is further configured to cause the UE to measure a radio channel, and wherein the first set of data is associated with the measurement of the radio channel.
20 . The UE of claim 19 , wherein the input data comprises at least one of a measured channel matrix of the radio channel and a precoder for the radio channel.