Abstract: A method includes determining one or more delay values and one or more phase shift values for generation of multiple desired frequency-dependent analog beams. The method also includes configuring one or more true-time delay (TTD) elements and one or more phase shifters of a transceiver based on the one or more delay values and the one or more phase shift values, the transceiver having one or more radio-frequency (RF) chains connected to multiple antennas via the one or more TTD elements and the one or more phase shifters. The method also includes operating the transceiver to generate the multiple desired frequency-dependent analog beams.

Abstract: The present invention discloses a method for modeling sequence impedance of a modular multilevel converter (MMC) under phase locked loop (PLL) coupling. The method includes the following steps: S1, establishing a circuit topology model; S2, establishing a PLL output characteristic model; S3, establishing a PI controller output control small signal model under a dq axis; S4, deducing a modulation small signal; and S5, calculating MMC port impedance. According to the method, a precise MMC port impedance model is established by analyzing a double mirror frequency coupling effect in the output of a modulation signal in a control link caused by a phase angle disturbance and comprehensively considering the combination of the multi-harmonic coupling effect of an MMC.

Abstract: A method includes, when a handheld device is in motion within a service area to be traversed by a robot: obtaining ultra-wideband (UWB) ranging measurements between the handheld device and multiple anchors located in the service area; and obtaining image data and inertial measurement unit (IMU) data. The method also includes determining a trajectory of motion of the handheld device based on the UWB ranging measurements. The method also includes adjusting the trajectory based on image features obtained from the image data and motion estimates obtained from the IMU data. The method also includes identifying the adjusted trajectory as a boundary of the service area.

Abstract: A method includes obtaining Wi-Fi channel state information (CSI) data on a transmit antenna/receive antenna pair over a time period. The method also includes removing one or more anomalies present in the CSI data. The method also includes performing at least one of phase compensation and amplitude compensation on the CSI data to generate clean CSI data. The method also includes detecting a number of distinct respiration rates based on the clean CSI data. The method also includes, for each of the distinct respiration rates, determining a number of people that have that distinct respiration rate.

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 method includes receiving, by a base station, a sounding reference signal (SRS) symbol from a user equipment (UE). The method also includes estimating, by the base station, an uplink (UL) channel from the UE to a full dimensional multiple-input multiple-output (FD-MIMO) base station base band based on the received SRS symbol. The method also includes receiving, by the base station from the UE, an estimate of a downlink (DL) channel from the FD-MIMO base station base band to the UE. The method also includes performing, by the base station, a joint calibration by applying one or more calibration algorithms using channel state information (CSI) of the UL channel and the DL channel.

Abstract: A method includes partitioning a set of configuration management (CM) data for one or more cellular network devices into multiple distinct time intervals, each time interval associated with a distinct set of CM settings at the one or more cellular network devices, the CM data comprising multiple CM parameters. The method also includes determining a regression model based on the set of CM data. The method also includes applying the regression model to compute a distinct set of scores and compare the set of scores to estimate whether a performance of the one or more cellular network devices has changed during a second time interval relative to a first time interval.

Abstract: A base station includes a plurality of antennas, a data unit (DU) comprising a first processor and a first memory containing instructions, which when executed by the first processor, cause the DU to receive a signal to be transmitted via the plurality of antennas, obtain per-antenna-power-constraint (PAPC) information, determine an estimated effective transmission power (Peff) based on the PAPC information, and pre-schedule the signal for transmission based on the Peff. The base station further includes a massive MIMO unit (MMU) comprising a second processor and a second memory containing instructions, which when executed by the second processor, cause the MMU to receive, from the DU, the pre-scheduled signal, perform pre-coding on the pre-scheduled signal based on a current value of a PAPC determined at the MMU to normalize per-antenna gain of antennas of the plurality of antennas, and provide the pre-coded signal for transmission via the plurality of antennas.

Abstract: A method for operating a base station is provided. The method includes in response to a triggering event, fetching information on a base station (BS) configuration parameters comprising a location, a height, an antenna pattern, and topographical details surrounding the BS; determining the BS configuration parameters that are error prone and require re-estimation; obtain measurement reports created by at least one user equipment (UE); determining an audit method to perform an audit correction, the audit correction based on the one or more of the BS configuration parameters to re-estimate, available BS information and the measurement reports; performing the audit correction, to obtain a result based on a computed score for each candidate value of the BS configuration parameters; generating, based on the result, one or more corrective actions; and adjusting at least one of the BS configuration parameters based on the one or more corrective actions.

Abstract: Methods and apparatuses in a wireless communication system. A base station (BS) includes a transceiver and a processor. The processor is configured to receive, via the transceiver, a channel state information (CSI) report from at least one user equipment (UE). The processor is also configured to configure CSI-reference signal (RS) resources for the at least one UE. The processor is further configured to, based on the CSI report from the at least one UE, perform one of: set a transmission power to full power for transmission in a physical downlink shared channel (PDSCH); or apply a back-off percentage to the transmission power in the PDSCH.

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 antenna and a base station including the antenna. The antenna includes a sub-array that includes first and second unit cells and a feed network. The first and second unit cells comprise first and second patches, respectively, having quadrilateral shapes. The feed network comprises a first transmission line terminating below first corners of the first and second patches, respectively; a second transmission line terminating below third corners of the first and second patches, respectively; a third transmission line terminating below a second corner of the first patch and a fourth corner of the second patch; and a fourth transmission line terminating below a fourth corner of the first patch and a second corner of the second patch. The first corners are opposite the third corners on the respective first and second patches and the second corners are opposite the fourth corners on the respective first and second patches.

Abstract: Capability of a user equipment to support machine learning adaptation by a base station of a reference signal pattern is signaled between the base station and the user equipment. Configuration information from the base station indicates one or more of enabling or disabling of machine learning adaptation of the reference signal pattern, a machine learning model used for machine learning adaptation of the reference signal pattern, updated model parameters for the machine learning model, or whether model parameters received from the user equipment will be used for machine learning adaptation of the reference signal pattern. Model training may be performed or model parameters received, and reference signals are received from the base station. Information on a reference signal pattern may be transmitted by the user equipment to the serving base station. Assistance information may be transmitted by the user equipment to the base station, which configures a reference signal pattern.

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: A method includes obtaining one or more channel quality and performance indicators of a user equipment (UE) from multiple transmit-receive points (TRPs) in a coordinated multipoint (CoMP) cluster. The method also includes generating a set of performance metrics from the one or more channel quality and performance indicators. The method also includes determining a number of helping layers for multiplexing joint transmission (Mux-JT) in the CoMP cluster based on the set of performance metrics. The method also includes selecting a modulation and coding scheme (MCS) for the Mux-JT based on at least one channel quality indicator (CQI) of the UE.

Abstract: An apparatus includes a network interface, a processor and a memory. The memory contains instructions, which when executed by the processor, cause the apparatus to identify a target base station and a target slice comprising an electronic device for service level agreement (SLA) monitoring, send, via the network interface to the target base station, a trigger message for initiating SLA reporting by the electronic device of the target slice connected to the target base station, receive, from the target base station via the network interface, at least one SLA report from the electronic device of the target slice, determine an SLA violation level based on the at least one SLA report, determine updated scheduling parameters based on the SLA violation level, and send the updated scheduling parameters to the target base station via the network interface.

Abstract: A method includes obtaining, by a transmit-receive point (TRP), a set of power metrics for multiple UEs including a served UE and one or more helped UEs, wherein each power metric is estimated from multiple channel quality and performance indicators of one of the multiple UEs. The method also includes calculating a performance metric as a function of at least one of the multiple channel quality and performance indicators of the served UE. The method also includes calculating an interference metric as a function of the set of power metrics. The method also includes determining whether to perform coordinated beamforming based on the performance metric and the interference metric. The method also includes determining one or more precoders based on the determination of whether to perform the coordinated beamforming.

Abstract: A system and method for user selection in distributed multiple-input, multiple-output (MIMO). The system performs a method that includes configuring a first channel state information-reference signal (CSI-RS) resource set for a serving transmission point (TRP) and a second CSI-RS resource for a concatenated channel, wherein the concatenated channel is between a virtual panel and the apparatus, the virtual panel comprising distributed panels from a serving TRP and a helping TRP. The method also includes computing a metric as a function of one or more quantities included in one or more measurement reports, received from a user equipment (UE), for the concatenated channel and at least one of the serving TRP channel or the helping TRP channel. The method also includes configuring, based on the metric, the UE for one of: a legacy transmission or a distributed MIMO transmission.