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.

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.

Abstract: Calibration in distributed multiple input multiple output (MIMO) networks. A method performed by a first base station (BS) includes receiving a first uplink (UL) reference signal (RS) and determining, based on the first UL RS and a second UL RS, a first phase offset for transmission of a first downlink (DL) RS to a user equipment (UE). The second UL RS is associated with a second BS. The first phase offset of the first DL RS is relative to a second DL RS associated with the second BS. The method further includes transmitting the first DL RS with the first phase offset; receiving UE feedback associated with the first DL RS and the second DL RS; and determining, based on the first phase offset and the received feedback, for a DL data transmission to the UE, a second phase offset between transmissions of the first BS and the second BS.

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.

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.

Abstract: Methods and apparatuses for hybrid hierarchical parameter tracking for CSI estimation in a wireless communication system. The methods and apparatuses include receiving uplink signals comprising a channel state information (CSI) report or a sounding reference signal (SRS); performing a channel parameter tracking operation to determine channel parameters that change less than a first threshold amount based on the received uplink signals; performing a channel parameter prediction operation to determine the channel parameters that change greater than a second threshold amount on an output of the channel parameter tracking operation; and performing a channel prediction operation for downlink channels based on an output of the channel parameter tracking operation and the channel parameter prediction operation.

Abstract: Methods and apparatuses in a wireless communication system. A method of operating a base station (BS) includes receiving information of uplink transmissions; storing the received information; performing, based on the received information, channel parameter tracking operations to generate channel parameters, wherein the channel parameter tracking operations are configured with different configuration parameters; and performing, based on the channel parameters, a channel coefficient prediction operation to generate channel state information (CSI).

Abstract: A method includes storing multiple signals received from a user equipment (UE) in a queue. The method also includes estimating a sounding reference signal (SRS) signal-to-noise-ratio (SNR) and determining a filtered SNR based on the received signals. The method also includes computing one or more features based on the filtered SNR and at least some of the received signals in the queue. The method also includes determining (i) a channel condition of the UE and (ii) a speed range of the UE based on the one or more computed features, wherein the channel condition of the UE comprises line-of-sight (LoS) or non-line-of-sight (NLoS). The method also includes determining a transmission configuration based on the channel condition of the UE and the speed range of the UE.

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.

Abstract: Methods and apparatuses in a wireless communication system. A method of operating a base station (BS) includes receiving a set of uplink signals; estimating, based on a subset of the set of uplink signals, uplink channels; estimating a timing offset (TO) and a frequency offset (FO) for a subset of the estimated uplink channels; compensating, based on the estimated TO and FO, the subset of the estimated uplink channels to generate TO and FO compensated uplink channel estimates; and generating channel prediction information based on the compensated subset of the estimated uplink channels.

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.

Abstract: A method for operating a base station comprises receiving channel information from a plurality of UEs; determining, based on the channel information, one or more UEs on which to base a channel prediction; computing a first set of metrics and a second set of metrics corresponding to the plurality of UEs, wherein computing the first set of metrics has a lower complexity than computing the second set of metrics; performing a selection process on the plurality of UEs based on the first and second set of metrics associated with the plurality of UEs; selecting a first subset of UEs from the plurality of UEs based on a first set of metrics; selecting, from the first subset, a second subset of UEs based on a second set of metrics; and performing the channel prediction based on the second subset of UEs.

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.

Abstract: Methods and apparatuses for a BS in a communication system. The method comprises: identifying antenna groups; identifying channel coefficients for each of the antenna groups to perform a channel tracking and prediction operation; receiving, from a user equipment (UE), an uplink signal to perform the channel tracking and prediction operation; and performing, based at least in part on the received uplink signal, a channel coefficient tracking operation for the channel coefficients of the antenna groups, respectively, the channel coefficient tracking operation including a channel subspace parameter tracking operation and a subspace coefficient tracking operation.

Abstract: A base station, method, and computer-readable storage medium for channel state information (CSI) acquisition. The base station includes a transceiver configured to transmit a first, unprecoded channel state information reference signal (CSI-RS) on a first antenna dimension; receive a first CSI report on the first antenna dimension; transmit a second, precoded CSI-RS on a second antenna dimension; and receive a second CSI report on the second antenna dimension. The first CSI report includes a precoding matrix index (PMI), a rank indicator (RI), and channel quality indicator (CQI) for the first antenna dimension; and the second CSI report comprises a PMI, a RI, and a CQI for the second antenna dimension. The base station also includes a processor operably connected to the transceiver, the processor configured to generate a downlink (DL) CSI for multi-user multi-input, multi-output (MU-MIMO) scheduling and precoding based on the first CSI report and the second CSI report.

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.

Abstract: Methods and apparatuses for hybrid hierarchical parameter tracking for CSI estimation in a wireless communication system. The methods and apparatuses include receiving uplink signals comprising a channel state information (CSI) report or a sounding reference signal (SRS); performing a channel parameter tracking operation to determine channel parameters that change less than a first threshold amount based on the received uplink signals; performing a channel parameter prediction operation to determine the channel parameters that change greater than a second threshold amount on an output of the channel parameter tracking operation; and performing a channel prediction operation for downlink channels based on an output of the channel parameter tracking operation and the channel parameter prediction operation.

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.

Abstract: Methods and apparatuses in a wireless communication system. A method of operating a base station (BS) includes receiving information of uplink transmissions; storing the received information; performing, based on the received information, channel parameter tracking operations to generate channel parameters, wherein the channel parameter tracking operations are configured with different configuration parameters; and performing, based on the channel parameters, a channel coefficient prediction operation to generate channel state information (CSI).

Abstract: A method for operating a base station comprises receiving channel information from a plurality of UEs; determining, based on the channel information, one or more UEs on which to base a channel prediction; computing a first set of metrics and a second set of metrics corresponding to the plurality of UEs, wherein computing the first set of metrics has a lower complexity than computing the second set of metrics; performing a selection process on the plurality of UEs based on the first and second set of metrics associated with the plurality of UEs; selecting a first subset of UEs from the plurality of UEs based on a first set of metrics; selecting, from the first subset, a second subset of UEs based on a second set of metrics; and performing the channel prediction based on the second subset of UEs.