公开(公告)号：WO2022270897A1

公开(公告)日：2022-12-29

申请号：PCT/KR2022/008862

申请日：2022-06-22

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： MADADI, Pranav ,  JEON, Jeongho ,  CHO, Joonyoung

IPC: H04W24/10 ,  H04B7/0417 ,  H04L5/00 ,  G06N20/00

Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Specifically, the disclosure related to sparsity assisted CSI reporting or two-step CSI reporting. The configuration enabling/disabling sparsity assisted truncation for CSI reporting or two-step CSI reporting includes a domain for transformation of CSI for the sparsity assisted CSI reporting, and a time window for correlated channel. When sparsity assisted truncation for CSI reporting is enabled, a fixed number of non-zero coefficients and threshold values for delay/angle or doppler for truncation are configured. Also, received the CSI reference signals are measured based on the configuration and a CSI report is transmitted indicating a specific range for which truncation occurred. When two-step CSI reporting is enabled, CSI compression corresponding to the at least one configuration and the time window is performed and CSI feedback is transmitted along with a flag.

公开(公告)号：WO2021215847A1

公开(公告)日：2021-10-28

申请号：PCT/KR2021/005100

申请日：2021-04-22

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： LO, Caleb K. ,  MADADI, Pranav ,  JEON, Jeongho ,  CHO, Joonyoung ,  SONG, Junhyuk

IPC: H04L12/24 ,  H04L29/08 ,  H04W24/02 ,  H04W88/18 ,  H04B7/0408 ,  H04B7/06 ,  H04B17/309

Abstract: The present disclosure relates to a 5G communication system or a 6G communication system for supporting higher data rates beyond a 4G communication system such as long term evolution (LTE). A service management and orchestration (SMO) entity enabling a functional split between a non-real-time (RT) radio access network (RAN) intelligent controller (RIC) and an external artificial intelligence (AI)/machine learning (ML) server will, during a data collection phase, utilize the SMO entity and the non-RT RIC to collect and process RAN data and non-RAN data and, during a data transfer phase, transfer processed RAN and non-RAN data from the SMO entity to an external AI/ML server via an interface. During a training model input phase, the SMO entity receives a trained AI/ML model, metadata, and training results from the external AI/ML server via an interface and, during a configuration phase, the SMO entity uses the trained AI/ML model within the SMO entity and the non-RT RIC to transfer configuration parameters to a near-RT RIC.

公开(公告)号：WO2021215720A1

公开(公告)日：2021-10-28

申请号：PCT/KR2021/004493

申请日：2021-04-09

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： FORD, Russell Douglas ,  CHANDRASEKHAR, Vikram ,  JUNG, Hakyung ,  PARK, Sangkyu ,  XIN, Yan ,  MADADI, Pranav ,  KULKARNI, Mandar N.

IPC: H04L12/24 ,  H04W24/02

Abstract: Apparatuses and methods for identifying network anomalies. A method includes determining a cumulative anomaly score over a predefined time range based on a subset of historical PM samples and determining an anomaly ratio of a first time window and a second time window, based on the cumulative anomaly score. The method also includes determining one or more anomaly events coinciding with CM parameter changes based on the anomaly ratio; collating the PM, alarm, and CM data into a combined data set based on matching fields and timestamps; generating a set of rules linking one or more CM parameter changes and the collated data to anomaly events; and generating root cause explanations for CM parameter changes that are linked to anomaly events.

公开(公告)号：WO2023277454A1

公开(公告)日：2023-01-05

申请号：PCT/KR2022/008995

申请日：2022-06-24

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： LO, Caleb K. ,  JEON, Jeongho ,  DING, Haichuan ,  CHO, Joonyoung ,  MADADI, Pranav ,  YE, Qiaoyang

IPC: H04B17/309 ,  H04B17/391 ,  H04W24/10 ,  H04W8/24 ,  H04W72/04 ,  G06N20/00 ,  H04L43/0864 ,  H04L43/55

Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. UE capability for support of machine-learning (ML) based channel environment classification may be reported by a user equipment to a base station, where the channel environment classification classifies a channel environment of a channel between the UE and a base station based on one or more of UE speed or Doppler spread, UE trajectory, frequency selectivity or delay spread, coherence bandwidth, coherence time, radio resource management (RRM) metrics, block error rate, throughput, or UE acceleration. The user equipment may receive configuration for ML based channel environment classification, including at least enabling/disabling of ML based channel environment classification. When ML based channel environment classification is enabled, UE assistance information for ML based channel environment classification, and/or an indication of the channel environment (which may be a pre-defined channel environment associated with a lookup table), may be transmitted by the user equipment to the base station.

公开(公告)号：WO2022191493A1

公开(公告)日：2022-09-15

申请号：PCT/KR2022/002934

申请日：2022-03-02

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： MADADI, Pranav ,  YE, Qiaoyang ,  JEON, Jeongho ,  CHO, Joonyoung

IPC: H04W36/00 ,  H04W36/30 ,  H04W36/32 ,  G06N20/00

Abstract: Configuration information for a machine learning handover event may be used by an artificial intelligence/machine learning agent configured to determine whether to initiate handover. The determination of whether to initiate handover according to the received configuration information for the machine learning handover event is based on one or more of: signal quality for one or more serving base stations, signal quality for one or more neighboring base stations, a velocity of the UE, a location of the UE, and a trajectory of the UE.