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    METHOD AND APPARATUS FOR ARTIFICIAL INTELLIGENCE/MACHINE LEARNING BASED LIFE CYCLE MANAGEMENT (LCM)
    1.
    发明申请
    METHOD AND APPARATUS FOR ARTIFICIAL INTELLIGENCE/MACHINE LEARNING BASED LIFE CYCLE MANAGEMENT (LCM) 有权

    公开(公告)号：US20250159532A1

    公开(公告)日：2025-05-15

    申请号：US18944794

    申请日：2024-11-12

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Hamid SABER ,  Mohamed Mokhtar Gaber Moursi AWADIN ,  Yuan-Sheng CHENG ,  Jung Hyun BAE

    IPC: H04W24/10 ,  H04B7/06 ,  H04W24/02

    Abstract: A system and a method are disclosed for AI/ML model LCM. A method performed by a UE includes transmitting, to a base station, a plurality of properties of supported functionalities for each of a plurality of AI/ML use cases, wherein each of the plurality of AI/ML use cases is configured with an individual use case ID; transmitting, to the base station, a maximum number of AI/ML active functionalities that the UE supports across the plurality of AI/ML use cases; receiving, from the based station, a report configuration based on the plurality of properties of supported functionalities for each of the plurality of AI/ML use cases and the maximum number of AI/ML active functionalities that the UE supports across the plurality of AI/ML use cases; generating a report based on the report configuration; and transmitting the report to the base station.

    SYSTEM AND METHOD FOR MONITORING PDCCH IN OVERLAPPING MONITORING OCCASSIONS BASED ON CORESET PRIORITIZATION
    3.
    发明公开
    SYSTEM AND METHOD FOR MONITORING PDCCH IN OVERLAPPING MONITORING OCCASSIONS BASED ON CORESET PRIORITIZATION 审中-公开

    公开(公告)号：US20240348405A1

    公开(公告)日：2024-10-17

    申请号：US18630369

    申请日：2024-04-09

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Hamid SABER ,  Jung Hyun BAE

    IPC: H04L5/00

    CPC classification number: H04L5/0053

    Abstract: A system and a method are disclosed for monitoring a PDCCH. A method performed by a UE includes i. selecting a CORESET from among a set of CORESETs in a slot; ii. determining a qcl type value of the reference CORESET; iii. determining a first set of CORESETs in the set of CORESETs in the slot that overlap with the reference CORESET and have a same qcl type value as the reference CORESET; iv. determining a second set of CORESETs in the set of CORESETs in the slot that overlaps with the first set of CORESETs and has a different qcl type value than the reference CORESET; and v. removing, from the set of CORESETs in the slot, the first and second sets of CORESETs.

    SYSTEM AND METHOD FOR PHYSICAL DOWNLINK CONTROL CHANNEL MONITORING BASED ON USER EQUIPMENT CAPABILITY
    5.
    发明公开
    SYSTEM AND METHOD FOR PHYSICAL DOWNLINK CONTROL CHANNEL MONITORING BASED ON USER EQUIPMENT CAPABILITY 审中-公开

    公开(公告)号：US20230232409A1

    公开(公告)日：2023-07-20

    申请号：US18123745

    申请日：2023-03-20

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Hamid SABER ,  Jung Hyun BAE

    IPC: H04W72/23 ,  H04W48/16

    CPC classification number: H04W72/23 ,  H04W48/16

    Abstract: Methods and apparatuses are provided for monitoring a physical downlink control channel (PDCCH). A user equipment (UE) reports capability information indicating one or more tuples. Each tuple indicates a combination of serving cells configured for per-slot and per-span monitoring that the UE is capable of supporting. An indication is received in response to the capability information. A pair of values is determined based on the indication. A first value is a maximum number of serving cells configured for per-slot monitoring, and a second value is a maximum number of serving cells configured for per-span monitoring. A monitored candidate limit per slot is determined based on the first value. A monitored candidate limit per span is determined based on the second value.

    METHODS FOR DYNAMIC HARQ-ACK CODEBOOK WITH MULTIPLE SUB-CODEBOOKS
    6.
    发明申请
    METHODS FOR DYNAMIC HARQ-ACK CODEBOOK WITH MULTIPLE SUB-CODEBOOKS 有权

    公开(公告)号：US20220286246A1

    公开(公告)日：2022-09-08

    申请号：US17667391

    申请日：2022-02-08

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Jung Hyun BAE ,  Mohammed KARMOOSE ,  Hamid SABER

    IPC: H04L5/00 ,  H04L1/18

    Abstract: A system and method for handling acknowledgments in a wireless system. In some embodiments, the method includes, receiving, by a User Equipment (UE), one or more first transmissions; decoding, by the UE, the first transmissions, to generate a first sub-codebook including one or more corresponding Hybrid Automatic Repeat Request Acknowledgement (HARQ ACK) bit strings each having a first length; receiving, by the UE, one or more second transmissions; decoding, by the UE, the second transmissions, to generate a second sub-codebook including one or more corresponding HARQ ACK bit strings each having a second length, greater than the first length; receiving, by the UE, one or more third transmissions; and decoding, by the UE, the third transmissions, to generate a third sub-codebook including one or more corresponding HARQ ACK bit strings each having a third length, greater than the second length.

    SYSTEM AND METHOD FOR AI AND ML BASED CSI PREDICTION IN NR
    9.
    发明申请
    SYSTEM AND METHOD FOR AI AND ML BASED CSI PREDICTION IN NR 有权

    公开(公告)号：US20250132846A1

    公开(公告)日：2025-04-24

    申请号：US18924473

    申请日：2024-10-23

    Applicant: Samsung Electronics Co., Ltd.

    Inventor： Hamid SABER ,  Jung Hyun BAE

    IPC: H04B17/373 ,  H04L5/00 ,  H04W24/10

    Abstract: A system and a method are disclosed for artificial intelligence (AI) and machine learning (ML) based channel state information (CSI) prediction. The method includes receiving, by a user equipment (UE), a CSI reference signal (RS) from a base station; storing, by the UE, a series of CSI measurements corresponding to the received CSI-RS; receiving, by the UE, a CSI report configuration including an indication that artificial intelligence machine learning (AIML) CSI prediction is applied; in response to receiving the indication that AIML CSI prediction is applied, generating, by the UE, a predicted CSI based on the stored CSI measurements using a trained AIML model; and transmitting, by the UE, the predicted CSI to the base station.

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