WIFI CSI PREPROCESSING FOR SENSING APPLICATIONS

    公开(公告)号:US20240356616A1

    公开(公告)日:2024-10-24

    申请号:US18429209

    申请日:2024-01-31

    CPC classification number: H04B7/0654 H04B7/0626

    Abstract: Methods and apparatuses for WiFi CSI preprocessing for sensing applications are provided. A method of wireless communication performed by a STA comprises: receiving a sequence of frames; obtaining a CSI set, comprising the CSI for each of the frames; determining one or more variations in the CSI set caused by at least one of a device impairment, a synchronization issue, or an unintended signal; performing a preprocessing procedure configured to: correct one or more errors in gain and phase of each CSI of the CSI set caused by at least one of the device impairment or the synchronization issue, and filter at least one variation caused by the unintended signal; and identifying at least one of an outlier or a variation in CSI set that affects a sensing task, and performing at least one preprocessing operation configured to filter the outlier or the variation in CSI set.

    Apparatus and method for promoting in-device coexistence between Wi-Fi and ultra-wide band communication

    公开(公告)号:US12010618B2

    公开(公告)日:2024-06-11

    申请号:US17662973

    申请日:2022-05-11

    CPC classification number: H04W52/0216 H04B1/7163

    Abstract: A method includes determining one or more active slots and inactive slots in an ultra-wide band (UWB) ranging round. The method also includes determining multiple silent periods in the ranging round based on an arrangement of the inactive slots. The method also includes determining a target silent period in the ranging round, among the multiple silent periods, to be used for WiFi communication. The method also includes determining multiple target wake time (TWT) parameters such that a TWT session period defined by the TWT parameters overlaps with the target silent period. The method also includes determining one or more second silent periods preceding the target silent period in which the TWT parameters can be negotiated with an access point (AP) for the WiFi communication. The method also includes negotiating the TWT parameters with the AP during the one or more second silent periods.

    Apparatus and method for target wake time parameter design

    公开(公告)号:US11864107B2

    公开(公告)日:2024-01-02

    申请号:US17645953

    申请日:2021-12-23

    CPC classification number: H04W52/0216 H04W52/0232 H04W72/1263 H04W74/0816

    Abstract: Embodiments of the present disclosure provide methods and apparatuses for updating a target wake time (TWT) service period and interval. The apparatuses include a communication device comprising a transceiver and a processor. The transceiver is configured to transmit and receive higher layer data packets in a TWT operation during a time period. The processor is configured to determine, based on PHY data rates during the time period, effective higher layer data rates, estimate an initial data transceiving time based on the effective higher layer data rates and total lengths of the data packets, adjust the initial data transceiving time to obtain a higher layer data transceiving time based on an estimated network congestion level, an estimated re-transmission rate, and a total amount of TWT overhead during the time period, and determine a new TWT service period and interval based on the higher layer data transceiving time.

    PMI-based data beam nulling with a CSI report

    公开(公告)号:US11777568B2

    公开(公告)日:2023-10-03

    申请号:US17806068

    申请日:2022-06-08

    CPC classification number: H04B7/0486 H04L1/0009

    Abstract: Apparatuses and methods for precoding matrix indicator (PMI)-based data beam nulling with a channel state information (CSI) report. An apparatus includes a transceiver configured to communicate via a wired or wireless communication medium and a processor coupled to the transceiver. The processor is configured to identify restricted PMI beams in a nulling direction for supported ranks; receive, via the transceiver from a user equipment (UE), a CSI report including a rank, a PMI, and channel quality indicator (CQI) feedback; and determine whether the reported PMI is restricted. The processor is further configured to select an alternative PMI among a number of unrestricted PMIs for the reported rank; boost a reported CQI if a reduced transmit power is configured; and select a modulation coding scheme (MCS) and generate a precoder for a data beam based on at least one of: the CSI report, the alternative PMI, and the boosted CQI.

    SYSTEM AND METHOD FOR BEAM DIRECTIONAL NULLING FOR SRS-BASED DATA BEAMS

    公开(公告)号:US20230052415A1

    公开(公告)日:2023-02-16

    申请号:US17658011

    申请日:2022-04-05

    Abstract: An apparatus in a wireless communication system is configured to perform a method for directional beam nulling of SRS-based data beams. A base station (BS) includes a transceiver and a processor. The processor is configured to transmit a data beam to at least one user equipment (UE). The processor is also configured to configure the data beam to have a null area in a direction of a satellite earth station (ES), the null area defining a space within a coverage area of the data beam in which a signal from the data beam is suppressed. The data beam is configured by: generating one or more steering vectors to the ES; obtaining a UE channel matrix via a sounding reference signal (SRS) and determining a rank value; and generating a beamforming precoder configured to directional null the data beam in the direction of the ES.

    Method and apparatus for AI-based UE speed estimation using uplink SRS measurements

    公开(公告)号:US11516051B2

    公开(公告)日:2022-11-29

    申请号:US16270486

    申请日:2019-02-07

    Abstract: An apparatus for performing a wireless communication includes a communication interface configured to measure uplink (UL) Sounding Reference Signals (SRSs) transmitted from a mobile client device, and at least one processor configured to buffer a number of uplink (UL) SRS measurements derived from UL SRS transmissions of the mobile client device, the number of UL SRS measurements exceeding a threshold, extract features from UL SRS measurements, obtain a machine learning (ML) classifier for determining a category to be used for estimating mobility associated with the mobile client device, and determine the category of the mobile client device by applying the extracted features to the ML classifier. Methods and apparatus extract the features of either a set of power spectrum density measurements or a set of pre-processed frequency domain real and imaginary portions of UL SRS measurements and feed the features to an AI classifier for UE speed estimation.

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