公开(公告)号：US20240056138A1

公开(公告)日：2024-02-15

申请号：US18365874

申请日：2023-08-04

Applicant: Samsung Electronics Co., Ltd.

Inventor： Yeqing Hu ,  Xiaowen Tian ,  Yang Li ,  Tiexing Wang ,  Jianzhong Zhang

IPC: H04B7/0456 ,  H04L25/02

CPC classification number: H04B7/0456 ,  H04L25/0204 ,  H04L25/0256

Abstract: A method includes identifying ACF information by: obtaining channel information including multiple channels of expected operation scenarios; and based on the channel information for each of the channels, determining MMSE channel estimation (CE) weights expressed in a form of ACFs and an SNR, and covariance matrices. The method includes clustering the MMSE CE weights into K clusters. A center ACF weight of each of the K clusters represents a codeword. The method includes determining a distance metric based on a cluster distance after a re-clustering. The method includes, in response to a determination that cluster distances before and after the clustering differ from each other by a non-negligibly, iteratively re-clustering the ACF information thereby updating the center ACF weights and cluster distances. The method includes generating the codebook to include an index k of each of the K clusters and the center ACF weight of each of the K clusters.

公开(公告)号：US12250035B2

公开(公告)日：2025-03-11

申请号：US18365874

申请日：2023-08-04

Applicant: Samsung Electronics Co., Ltd.

Inventor： Yeqing Hu ,  Xiaowen Tian ,  Yang Li ,  Tiexing Wang ,  Jianzhong Zhang

IPC: H04B7/0456 ,  H04L25/02

Abstract: A method includes identifying ACF information by: obtaining channel information including multiple channels of expected operation scenarios; and based on the channel information for each of the channels, determining MMSE channel estimation (CE) weights expressed in a form of ACFs and an SNR, and covariance matrices. The method includes clustering the MMSE CE weights into K clusters. A center ACF weight of each of the K clusters represents a codeword. The method includes determining a distance metric based on a cluster distance after a re-clustering. The method includes, in response to a determination that cluster distances before and after the clustering differ from each other by a non-negligibly, iteratively re-clustering the ACF information thereby updating the center ACF weights and cluster distances. The method includes generating the codebook to include an index k of each of the K clusters and the center ACF weight of each of the K clusters.