公开(公告)号：US12191948B1

公开(公告)日：2025-01-07

申请号：US18446504

申请日：2023-08-09

Applicant: BEIJING JIAOTONG UNIVERSITY

Inventor： Jiakang Zheng ,  Jiayi Zhang ,  Bo Ai

IPC: H04L5/12 ,  H04B7/0456 ,  H04B7/06

Abstract: A method for realizing rate-splitting multi-access in a mobile cell-free massive MIMO system includes the following steps: splitting, by an access point, the data of each user into two parts with common message and private message, coding all the common message into one super message common message stream, coding each piece of the private message into a private message stream; coding, by the access point, the private message stream using an arbitrary linear pre-coding method, coding the super common message stream using an optimal pre-coding method, and sending the final coded super common message streams to user terminals after superimposing the final coded super common message stream on the private message streams; first decoding, by the user terminals, the super common message stream, removing the super common message stream using successive interference cancellation technology, and then decoding the private message streams.

公开(公告)号：US10374902B2

公开(公告)日：2019-08-06

申请号：US15448255

申请日：2017-03-02

Applicant: Beijing Jiaotong University

Inventor： Ruisi He ,  Bo Ai ,  Qingyong Li ,  Qi Wang ,  Li'ao Gengyang ,  Ruifeng Chen ,  Zhangdui Zhong ,  Jian Yu

IPC: H04L12/28 ,  H04L12/24 ,  H04B7/0413

Abstract: A Kernel-power-density based method for wireless channel multipath components (MPCs) clustering. Signals get to the receiver from a transmitter via multipath propagation. MIMO channels can be modeled as double-directional, which contains the information of power, delay, direction of departure (DOD) and direction of arrival (DOA) of MPCs. The MPCs tend to appear in clusters. All the parameters of MPCs can be estimated by using high-resolution algorithms, such as MUSIC, CLEAN, SAGE, and RiMAX. Considering a data snapshot for a certain time with several clusters, which include a number of MPCs, where each MPC is represented by its power, delay, DOD and DOA. This invention adopts a novel clustering framework by using a density based method, which can better identify the local density variations of MPCs and requires no prior knowledge about clusters. It can work for the cluster oriented channel processing technology in future wireless communication field.

公开(公告)号：US20180131575A1

公开(公告)日：2018-05-10

申请号：US15448255

申请日：2017-03-02

Applicant: Beijing Jiaotong University

Inventor： Ruisi He ,  Bo Ai ,  Qingyong Li ,  Qi Wang ,  Li'ao Gengyang ,  Ruifeng Chen ,  Zhangdui Zhong ,  Jian Yu

IPC: H04L12/24 ,  H04B7/0413

CPC classification number: H04L41/14 ,  H04B7/0413 ,  H04L41/0803

Abstract: A Kernel-power-density based method for wireless channel multipath components (MPCs) clustering. Signals get to the receiver from a transmitter via multipath propagation. MIMO channels can be modeled as double-directional, which contains the information of power, delay, direction of departure (DOD) and direction of arrival (DOA) of MPCs. The MPCs tend to appear in clusters. All the parameters of MPCs can be estimated by using high-resolution algorithms, such as MUSIC, CLEAN, SAGE, and RiMAX. Considering a data snapshot for a certain time with several clusters, which include a number of MPCs, where each MPC is represented by its power, delay, DOD and DOA. This invention adopts a novel clustering framework by using a density based method, which can better identify the local density variations of MPCs and requires no prior knowledge about clusters. It can work for the cluster oriented channel processing technology in future wireless communication field.