公开(公告)号：US20240162955A1

公开(公告)日：2024-05-16

申请号：US18550398

申请日：2022-07-12

Applicant: Intel Corporation

Inventor： Nicholas Whinnett ,  Dawei Ying ,  Bishwarup Mondal ,  Jan Schreck ,  Jaemin Han ,  Leifeng Ruan ,  Jianli Sun

IPC: H04B7/06 ,  H04B7/0452

CPC classification number: H04B7/0617 ,  H04B7/0452 ,  H04B7/063 ,  H04B7/0632

Abstract: Various embodiments herein are directed to beamforming associated with multiple-input multiple-output (MIMO) modes in open radio access network (O-RAN) systems. In one embodiment, an apparatus comprises: memory to store beamforming configuration information associated with a plurality MIMO modes; and processing circuitry, coupled with the memory to: retrieve the beamforming configuration information from the memory; request, based on the beamforming configuration information, measurements associated with the plurality of MIMO modes; receive the measurements associated with the plurality of MIMO modes; and based on the received measurements, train an artificial intelligence/machine learning (AI/ML) model that is to predict relative beamforming performance between the plurality of MIMO modes.

公开(公告)号：US12166555B2

公开(公告)日：2024-12-10

申请号：US17357769

申请日：2021-06-24

Applicant: Intel Corporation

Inventor： Jan Schreck ,  Nicholas Whinnett ,  Thushara Hewavithana ,  Yang-Seok Choi ,  Shilpa Talwar

IPC: H04W52/50 ,  H04B7/0456 ,  H04B7/06 ,  H04L5/00

Abstract: Various embodiments herein provide techniques for reducing computational complexity in multiple input multiple output (MIMO, e.g., massive MIMO (mMIMO)) communications, such as efficient decomposition of a channel covariance matrix. Embodiments enable accurate mMIMO channel estimation with relatively low computational complexity compared with prior techniques. Additionally, embodiments may provide efficient beamforming and/or spatial compression. Other embodiments may be described and claimed.

公开(公告)号：US20220416868A1

公开(公告)日：2022-12-29

申请号：US17357769

申请日：2021-06-24

Applicant: Intel Corporation

Inventor： Jan Schreck ,  Nicholas Whinnett ,  Thushara Hewavithana ,  Yang-Seok Choi ,  Shilpa Talwar

IPC: H04B7/06 ,  H04B7/0456 ,  H04L5/00

Abstract: Various embodiments herein provide techniques for reducing computational complexity in multiple input multiple output (MIMO, e.g., massive MIMO (mMIMO)) communications, such as efficient decomposition of a channel covariance matrix. Embodiments enable accurate mMIMO channel estimation with relatively low computational complexity compared with prior techniques. Additionally, embodiments may provide efficient beamforming and/or spatial compression. Other embodiments may be described and claimed.

公开(公告)号：US20230319773A1

公开(公告)日：2023-10-05

申请号：US18311508

申请日：2023-05-03

Applicant: Intel Corporation

Inventor： Dawei Ying ,  Nicholas Whinnett ,  Jan Schreck ,  Jaemin Han ,  Leifeng Ruan ,  Qian Li

IPC: H04W64/00

CPC classification number: H04W64/00

Abstract: Various embodiments herein provide techniques related to communication between a non real-time (Non-RT) radio access network (RAN) intelligent controller (RIC) and a near real-time (Near-RT) RIC. Specifically, the Non-RT RIC may identify physical positioning information related to a user equipment (UE); generate enrichment information (EI) related to the physical positioning information; and transmit the EI over an A1 interface to the Near-RT RIC. Other embodiments may be described and/or claimed.