IP Library Granted Patent US 12712615
Granted Patent B2
US 12712615 · App. 18/511,154 · Granted Aug 18, 2026

Apparatus and method for configuring PCC/SCC prioritization based on extremely sparse channel information in wireless communication system

Inventors: Jun Sik Kim (Daejeon, KR); Woong Hee Lee (Daejeon, KR); Minhoe Kim (Daejeon, KR); Taewon Song (Daejeon, KR); Jung Im Kim (Daejeon, KR); Soon Gi Park (Daejeon, KR); Sung Cheol Chang (Daejeon, KR); Sun Mi Jun (Daejeon, KR); Yong Seouk Choi (Daejeon, KR)
Assignee: Electronics and Telecommunications Research Institute
H04B7/0626H04L5/0051H04W72/21
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Quick Facts
Patent No.
US 12712615
App. No.
18/511,154
Granted
Aug 18, 2026
Kind
B2
Abstract

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.

Claims (42)

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.