Self-tuning fixed-point least-squares solver

    公开(公告)号:US12284058B2

    公开(公告)日:2025-04-22

    申请号:US18310422

    申请日:2023-05-01

    Abstract: A method and device for self-tuning scales of variables for processing in fixed-point hardware. The device includes a sequence of fixed-point arithmetic circuits configured to receive at least one input signal and output at least one output signal. The circuits are preconfigured with control scales associated with each of the input and output signals. A first circuit in the sequence is configured to receive a first input signal having a dynamic true scale that is different from the control scale associated with the first input signal. Each of the circuits is further configured to determine, for each of the output signals, an adaptive scale from the control scale associated with the output signal based on the true scale of the first input signal and the control scale associated with the first input signal, and generate, from the input signal, the output signal having the associated adaptive scale.

    CM BASED CHANNEL STATUS INFORMATION ENHANCEMENT

    公开(公告)号:US20240073063A1

    公开(公告)日:2024-02-29

    申请号:US18446386

    申请日:2023-08-08

    CPC classification number: H04L25/0242 H04L25/021

    Abstract: Methods and apparatuses for canonical model (CM) based channel status information enhancement. A base station includes a transceiver configured to receive a reference signal from a user equipment (UE) and a processor operably coupled to the transceiver. The processor is configured to perform a linear transformation based on the received reference signal, select a basis set based on the linear transformation, select a set of kernels based on the selected basis set and the linear transformation, and reconstruct a channel based on the selected set of kernels.

    AI-AUGMENTED CHANNEL ESTIMATION
    4.
    发明公开

    公开(公告)号:US20230388158A1

    公开(公告)日:2023-11-30

    申请号:US18183114

    申请日:2023-03-13

    CPC classification number: H04L25/0254 H04L25/0256 H04L25/0204

    Abstract: A method includes determining estimated features comprising second order statistics based on at least one received signal. The method also includes classifying, using a machine learning network, each channel of the at least one received signal into a channel profile based on the estimated features. The method also includes obtaining multiple minimum mean square error (MMSE) channel estimation weights from a database based on the estimated features, the database storing (i) representative MMSE estimation weights and (ii) channel cluster representatives indexed by the estimated features. The method also includes applying a respective MMSE channel estimation weight for each channel.

    Channel estimation and prediction with measurement impairment

    公开(公告)号:US11581959B2

    公开(公告)日:2023-02-14

    申请号:US17188934

    申请日:2021-03-01

    Abstract: A base station (UE) is configured to perform a computer-implemented method for antenna fault detection and correction. The computer-implemented method includes acquiring one or more sounding reference signals (SRSs) received from at least one gNB antenna; detecting an antenna failure based on the one or more SRSs; estimating a noise power based on the antenna failure and a history of received SRSs; detecting a missing SRS based on the noise power and the history of received SRSs; and handling the missing SRS. Handling the missing SRS is based on performing at least one of: replacing an SRS measurement with a predicted SRS value for the missing SRS when the predicted SRS is available; or avoiding use of the missing SRS in a sequential SRS prediction when the predicted SRS is unavailable.

    METHOD AND APPARATUS FOR BANDWIDTH-ADAPTIVE AND MODEL-ORDER-ADAPTIVE CHANNEL PREDICTION

    公开(公告)号:US20220278762A1

    公开(公告)日:2022-09-01

    申请号:US17541160

    申请日:2021-12-02

    Abstract: Methods and apparatuses for a channel estimation and prediction operation in a wireless communication systems. A method of a BS comprises: receiving an SRS; partitioning, based on a partition policy, a frequency band of the SRS into sub-bandwidths in a frequency domain; generating, based on previously stored CSI in memory and the partition policy, a set of chunks corresponding to respective sub-bandwidths; performing CHPD operations corresponding to the respective sub-bandwidths to generate channel parameters, wherein different CHPD operations are applied to the respective sub-bandwidths; combining the channel parameters predicted from the respective sub-bandwidths in the frequency domain; and performing, based on the combined channel parameters, a channel estimation and prediction operation.

    Multi-user precoders based on partial reciprocity

    公开(公告)号:US11233550B2

    公开(公告)日:2022-01-25

    申请号:US16802373

    申请日:2020-02-26

    Abstract: A base station for generating multi-user precoders. The base station includes a transceiver configured to receive sounding reference signals (SRSs) from a set of user equipments (UEs), and a processor configured to select, for one or more UEs in the set of UEs, one or more codewords from an uplink codebook based on a correlation between the one or more codewords and the one or more SRSs; determine, using a composite downlink codebook, downlink codewords for the selected uplink codewords, respectively, the composite downlink codebook mapping uplink codewords to downlink codewords based on steering angles derived from the uplink codewords; transmit a set of pre-coded channel state information reference signals (CSI-RSs) to the one or more UEs, wherein the pre-coded CSI-RSs are pre-coded based on the determined downlink codewords; and identify a downlink channel matrix based on CSI feedback from the one or more UEs and the pre-coded CSI-RSs.

    CM based channel status information enhancement

    公开(公告)号:US12301387B2

    公开(公告)日:2025-05-13

    申请号:US18446386

    申请日:2023-08-08

    Abstract: Methods and apparatuses for canonical model (CM) based channel status information enhancement. A base station includes a transceiver configured to receive a reference signal from a user equipment (UE) and a processor operably coupled to the transceiver. The processor is configured to perform a linear transformation based on the received reference signal, select a basis set based on the linear transformation, select a set of kernels based on the selected basis set and the linear transformation, and reconstruct a channel based on the selected set of kernels.

    CODEBOOK FOR AI-ASSISTED CHANNEL ESTIMATION
    9.
    发明公开

    公开(公告)号:US20240056138A1

    公开(公告)日:2024-02-15

    申请号:US18365874

    申请日:2023-08-04

    CPC classification number: H04B7/0456 H04L25/0204 H04L25/0256

    Abstract: A method includes identifying ACF information by: obtaining channel information including multiple channels of expected operation scenarios; and based on the channel information for each of the channels, determining MMSE channel estimation (CE) weights expressed in a form of ACFs and an SNR, and covariance matrices. The method includes clustering the MMSE CE weights into K clusters. A center ACF weight of each of the K clusters represents a codeword. The method includes determining a distance metric based on a cluster distance after a re-clustering. The method includes, in response to a determination that cluster distances before and after the clustering differ from each other by a non-negligibly, iteratively re-clustering the ACF information thereby updating the center ACF weights and cluster distances. The method includes generating the codebook to include an index k of each of the K clusters and the center ACF weight of each of the K clusters.

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