Mobile communication method using AI
Provided is a method for transmitting or receiving data, by a user equipment (UE), to or from a base station (BS). The method includes transmitting, by the UE, capability information of the UE to the BS, wherein the capability information includes information related to artificial intelligence (AI) calculation for the data transmission or reception, receiving, by the UE, at least one of a plurality of AI parameters from the BS, and applying the at least one AI parameter to an encoding process for the data transmission or a decoding process for the data reception, wherein the encoding process or the decoding process is performed by information on a network structure in the at least one AI parameter, and wherein the at least one AI parameter comprises a plurality of information for performing the encoding process or the decoding process by the network structure.
1. A method for transmitting or receiving data, by a user equipment (UE), to or from a base station (BS), the method comprising:
transmitting, by the UE, capability information of the UE to the BS, wherein the capability information includes information related to artificial intelligence (AI) calculation for the data transmission or reception;
receiving, by the UE, at least one of a plurality of AI parameters from the BS;
applying the at least one AI parameter to an encoding process for the data transmission or a decoding process for the data reception,
wherein the encoding process or the decoding process is performed by information on a network structure in the at least one AI parameter,
wherein the at least one AI parameter comprises a plurality of information for performing the encoding process or the decoding process by the network structure;
receiving a data from the BS;
performing measurement of i) a first quality value in applying the AI parameter to the data and ii) a second quality value in not applying the AI parameter to the data;
calculating a difference between the first quality value and the second quality value;
transmitting a request for stopping of the AI application to the BS, based on the difference exceeding a predetermined offset value; and
stopping applying of the AI parameter to the encoding process or the decoding process.
2. The method of claim 1 , wherein the UE receives system information including AI information of the BS from the BS.
3. The method of claim 1 , further comprising:
transmitting, by the UE, an AI application request to the BS,
wherein the applying the at least one AI parameter is performed after the AI application request is transmitted.
4. The method of claim 1 , further comprising:
receiving an AI application command from the BS,
wherein the applying the at least one AI parameter is performed after the AI application command is received.
5. The method of claim 1 , further comprising:
transmitting, by the UE, a signal for requesting a new AI parameter to the BS;
receiving, by the UE, the new AI parameter from the BS; and
applying the new AI parameter to the encoding process or the decoding process.
6. The method of claim 1 , further comprising:
receiving, by the UE, a command for stopping AI application from the BS after the AI parameter is applied; and
stopping applying of the AI parameter to the encoding process or the decoding process.
7. The method of claim 6 , further comprising:
measuring, by the UE, a channel status information (CSI) including a channel delay characteristic and transmitting the CSI measurement value to the BS, after the AI parameter is applied,
wherein the UE receiving of the command for stopping AI application from the BS is performed after the CSI measurement value is transmitted to the BS.
8. The method of claim 6 , further comprising:
receiving data from the BS; and
transmitting a hybrid automatic repeat request (HARQ) acknowledgement (ACK) or negative-acknowledgement (NACK) signal based on the data received from the BS,
wherein the AI application stop command is received in response to transmission of the HARQ NACK signal.
9. The method of claim 6 , further comprising:
receiving, by the UE, a new AI parameter from the BS;
receiving, by the UE, a command for applying the new AI parameter from the B S; and
applying the new AI parameter to the encoding process or the decoding process.
10. A user equipment (UE) comprising:
at least one processor; and
at least one memory configured to store instructions and be operably electrically connected to the at least one processor,
wherein operations performed based on the instructions executed by the at least one processor comprise:
transmitting, by the UE, capability information to the BS, wherein the capability information includes information related to artificial intelligence (AI) calculation for the data transmission or reception;
receiving, by the UE, at least one of a plurality of AI parameters from the BS;
applying the at least one AI parameter to an encoding process for the data transmission or a decoding process for the data reception,
wherein the encoding process or the decoding process is performed by information on a network structure in the at least one AI parameter,
wherein the at least one AI parameter comprises a plurality of information for performing the encoding process or the decoding process by the network structure;
receiving a data from the BS;
performing measurement of i) a first quality value in applying the AI parameter to the data and ii) a second quality value in not applying the AI parameter to the data;
calculating a difference between the first quality value and the second quality value;
transmitting a request for stopping of the AI application to the BS, based on the difference exceeding a predetermined offset value; and
stopping applying of the AI parameter to the encoding process or the decoding process.