Apparatus and method for configuring PCC/SCC prioritization based on extremely sparse channel information in wireless communication system
Disclosed is a wireless communication system, specifically, an apparatus and method for configuring a primary cell carrier/secondary cell carrier (PCC/SCC) prioritization only based on extremely partial channel state information in a wireless communication system. Specifically, a method of operating a user equipment (UE) in a wireless communication system includes: transmitting a sounding reference signal (SRS) or channel state information (CSI) to a base station; receiving a signal from the base station on the basis of the SRS or the CSI; and estimating a number of multi-paths using a neural network for the received signal, wherein the estimating of the number of multi-paths includes: re-shaping the received signal; extracting a singular value of the reshaped signal; and estimating the number of multi-paths based on the extracted singular value.
1 . A method of operating a user equipment (UE) in a wireless communication system, the method comprising:
transmitting a sounding reference signal (SRS) or channel state information (CSI) to a base station;
receiving a signal from the base station on the basis of the SRS or the CSI; and
estimating a number of multi-paths using a neural network for the received signal, wherein the estimating of the number of multi-paths includes:
re-shaping the received signal;
extracting a singular value of the reshaped signal;
inputting the extracted singular value into the neural network; and
estimating the number of multi-paths based on the extracted singular value.
2 . The method of claim 1 , wherein the estimating of the number of multi-paths based on the extracted singular value includes:
encoding and decoding a matrix generated based on the singular value;
obtaining an output matrix based on the encoding and decoding; and
determining a rank value of the output matrix to be the number of multi-paths.
3 . The method of claim 2 , wherein the encoding and decoding of the matrix generated based on the singular value is performed based on a network model optimization.
4 . The method of claim 1 , further comprising removing noise of the CSI based on the estimated number of multi-paths.
5 . The method of claim 4 , further comprising predicting all data based on the CSI from which the noise has been removed.
6 . The method of claim 5 , further comprising quantizing all the data based on quantum levels.
7 . The method of claim 6 , wherein the quantum level is determined according to a congestion level.
8 . The method of claim 6 , further comprising transmitting the quantized data to the base station using a physical uplink control channel (PUCCH).
9 . The method of claim 8 , further comprising determining a cycle of an operation performed by the UE based on a mobility level of a network.
10 . A user equipment (UE) in a wireless communication system, the UE comprising:
a transceiver; and
a controller operably connected to the transceiver,
wherein the controller is configured to:
transmit a sounding reference signal (SRS) or channel state information (CSI) to a base station;
receive a signal from the base station based on the SRS or the CSI; and
estimate a number of multi-paths using a neural network for the received signal,
wherein, to estimate the number of multi-paths, the controller is configured to:
re-shape the received signal;
extract a singular value of the reshaped signal;
input the extracted singular value into the neural network; and
estimate the number of multi-paths based on the extracted singular value.
11 . The UE of claim 10 , wherein, to estimate the number of multi-paths based on the extracted singular value, the controller is configured to:
perform encoding and decoding on a matrix generated based on the singular value;
obtain an output matrix based on the encoding and decoding; and
determine a rank value of the output matrix to be the number of multi-paths.
12 . The UE of claim 11 , wherein to perform the encoding and decoding on the matrix generated based on the singular value, the controller operates based on a network model optimization.
13 . The UE of claim 10 , wherein the controller removes noise of the CSI based on the estimated number of multi-paths.
14 . The UE of claim 13 , wherein the controller predicts all data based on the CSI from which the noise has been removed.
15 . The UE of claim 14 , wherein all the data is quantized based on quantum levels.
16 . The UE of claim 15 , wherein the quantum level is determined according to a congestion level.
17 . The UE of claim 15 , wherein the controller transmits the quantized data to the base station using a physical uplink control channel (PUCCH).
18 . The UE of claim 17 , wherein the controller determines a cycle of an operation performed by the UE based on a mobility level of a network.