Samsung Electronics Co., Ltd.

Junmo Sung

Jianzhong Zhang

Yang Li

Rui Wang

Yeqing Hu

Tiexing Wang

Young-Han Nam

Jin Yuan

Shouvik Ganguly

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.

Low complexity machine learning based channel classifier

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.

Self-tuning fixed-point least-squares solver

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.

Method and apparatus for bandwidth-adaptive and model-order-adaptive channel prediction

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.

Hybrid hierarchical parameter tracking for CSI estimation

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).

Method and apparatus of parameter tracking for CSI estimation

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.

Channel estimation and prediction with measurement impairment

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.

Uplink timing and frequency offset estimation and compensation for CSI estimation and tracking

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.

Control for mobility channel prediction

A method of a base station (BS) for channel state information (CSI) estimation in a wireless communication system is provided. The method of BS comprises: receiving, from a user equipment (UE), a sounding reference signal (SRS) for the CSI estimation; determining whether the received SRS is measurable for the CSI estimation; initializing a set of uplink parameters based on a result of the determination; updating the set of uplink parameters based on SRS history stored in a buffer; and performing, using a channel prediction model and channel reciprocity, the downlink CSI estimation based on the updated parameters.

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Richardson, TX, United States of America

Junmo Sung