Abstract: Provided is a method of decoding, the method including receiving, by a user equipment (UE), a downlink control information (DCI) that is encoded, identifying, by the UE, a first bit position of the DCI as a known bit, and reducing a number of candidate code words for the DCI based on the known bit.

Abstract: A method of compensating for IQ mismatch (IQMM) in a transceiver may include sending first and second signals from a transmit path through a loopback path, using a phase shifter to introduce a phase shift in at least one of the first and second signals, to obtain first and second signals received by a receive path, using the first and second signals received by the receive path to obtain joint estimates of transmit and receive IQMM, at least in part, by estimating the phase shift, and compensating for IQMM using the estimates of IQMM. Using the first and second signals received by the receive path to obtain estimates of the IQMM may include processing the first and second signals received by the receive path as a function of one or more frequency-dependent IQMM parameters.

Abstract: Disclosed is an electronic device including a processor and memory, the processor being configured to perform frequency interpolation on a channel estimation at all resource elements (REs) located where a demodulation reference signal is transmitted, perform time interpolation on a frequency domain interpolated channel obtained from the frequency interpolation, and calculate an enhanced channel estimation based on channel estimates at REs in a frequency domain and REs in a time domain, the channel estimates being output from the time interpolation.

Abstract: A method of optimizing at least one IQMC parameter value for an IQMC includes: generating a set of tested IQMC candidate parameter values by performing an iterative method including selecting a first IQMC candidate parameter value for the at least one parameter of the IQMC; determining, using the first IQMC candidate parameter value, a performance metric value that comprises at least one of (i) an image rejection ratio (IRR) value, (ii) a signal-to-interference-plus-noise ratio (SINR) value, or (iii) a signal-to-image ratio (SImR) value; and determining a second IQMC candidate parameter value that is an update to the first IQMC candidate parameter value. The method of optimizing at least one IQMC parameter value for an IQMC further includes determining an IQMC candidate parameter value of the set of tested IQMC candidate parameter values that optimizes the performance metric.

Abstract: A system including: one or more processors; and memory including instructions that, when executed by the one or more processors, cause the one or more processors to: generate augmented input data by mixing noise components of training data; train a first neural network based on the augmented input data and ground truth data of the training data to output a first prediction of clean speech; lock trainable parameters of the first neural network as a result of the training of the first neural network; and train a second neural network according to the augmented input data and predictions of the first neural network to output a second prediction of the clean speech.

Abstract: A system and a method are disclosed. The method includes partitioning channel state information (CSI) into one or more discrete elements based on a predetermined dimension; categorizing the partitioned CSI into one or more bins having an equal length; and encoding the categorized partitioned CSI.

Abstract: A system and method are provided in which an input including a measurement output of digital channel information is received. The digital channel information includes an estimated digital channel, a beamforming codebook, and quantized angle of arrival (AoA) values. A basis corresponding to one of the quantized AoA values is selected according to a largest projection power of the measurement output. A partial channel is recovered based on the beamforming codebook and the estimated digital channel. An analog channel is recovered based on the partial channel and the basis.

Abstract: A method and system for use of carrier aggregation capability. In some embodiments, the method includes receiving, by a network, a declaration of capabilities, from a user equipment (UE), the declaration of capabilities including: a declaration of a first capability for a first component carrier (CC), and a declaration of a second capability for a second CC. The method may further include configuring, by the network, the UE with one or more CCs including the first CC and not including the second CC, the configuring including configuring the first CC with a configuration exceeding the first capability.

Abstract: A system and a method are disclosed for performing a neural architecture search. The method includes sampling a discrete network search space a first time, determining a differential architecture network sampled from a super-network using continuous relaxation of the discrete network search space over operators in the super-network, calculating a reward based on a proxy accuracy or a proxy complexity of the differential architecture network, updating a distribution of the discrete network search space based on the reward, and determining an updated differential architecture network based on the reward.

Abstract: A system and method for configuring an RF network based on machine learning. In some embodiments, the method includes: receiving, by a first neural network, a first state and a first state transition, the first state including: one or more identifiers for available active ports, and a set of available connections between two or more circuit elements, each of the circuit elements being one of: (1) a first circuit type, (2) a second circuit type that operatively connects a circuit element of the first circuit type to one of the available active ports, and (3) the available active ports; and generating, by the first neural network, a first estimated quality value, for the first state transition.

Abstract: A method and a closed-loop antenna impedance tuning (CL-AIT) system are provided. An input reflection coefficient is determined. The input reflection coefficient and a threshold value are compared to determine whether the input reflection coefficient is greater than the threshold value. In response to determining that the input reflection coefficient is greater than the threshold value, an optimal tuner code is determined based on a tuner code search algorithm. The optimal tuner code is applied to configure the CL-AIT system.

Abstract: A closed-loop power control (CLPC) system is disclosed that includes a first signal path for a first polarization and a second signal path for a second polarization. The first signal path includes a first power amplifier, a first output power detector configured to detect a first output power level of the first power amplifier, and a first processor configured to determine a first analog gain for a first controller and a first gain for a first digital-to-analog converter based on a first accumulated error between the first output power level and a target Effective Isotropically Radiated Power. A second processor is configured to set a first variable gain of a first variable gain amplifier coupled to an input of the first power amplifier. The CLPC can be configured to control the gain of the first signal path separately or as one signal path.

Abstract: A method and device are disclosed for estimating an interaction with the device. The method includes configuring a first token and a second token of an estimation model according to first features of a 3D object, applying a first weight to the first token to produce a first-weighted input token and applying a second weight that is different from the first weight to the second token to produce a second-weighted input token, and generating, by a first encoder layer of an estimation-model encoder of the estimation model, an output token based on the first-weighted input token and the second-weighted input token. The method may include receiving, at a 2D feature extraction model, the first features from a backbone, extracting, by the 2D feature extraction model, second features including 2D features, and receiving, at the estimation-model encoder, data generated based on the 2D features.

Abstract: A method of controlling power in a transmission system may include determining a first transmit power of a first transmit path, determining a second transmit power of a second transmit path, and controlling the first transmit path and the second transmit path based on a combination of the first transmit power and the second transmit power. The combination of the first transmit power and the second transmit power may include a sum of the first transmit power and the second transmit power. Controlling the first transmit path and the second transmit path may include determining a first effective power target for the first transmit path based on the first transmit power and the second transmit power, and determining a second effective power target for the second transmit path based on the first transmit power and the second transmit power.

Abstract: A closed-loop power control (CLPC) system is disclosed that includes a first signal path for a first polarization and a second signal path for a second polarization. The first signal path includes a first power amplifier, a first output power detector configured to detect a first output power level of the first power amplifier, and a first processor configured to determine a first analog gain for a first controller and a first gain for a first digital-to-analog converter based on a first accumulated error between the first output power level and a target Effective Isotropically Radiated Power. A second processor is configured to set a first variable gain of a first variable gain amplifier coupled to an input of the first power amplifier. The CLPC can be configured to control the gain of the first signal path separately or as one signal path.

Abstract: A wireless communication device includes: a processing circuit configured to: receive, from an antenna array during a previous period, a first directional electromagnetic signal including beam sweeping reference symbols of a previous beam sweeping period; compute an estimated combined channel; estimate a dominant angle-of-arrival (AoA) of the first directional electromagnetic signal based on the estimated combined channel and a previous beamforming codebook including two or more beamforming vectors corresponding to different AoAs; construct an updated beamforming codebook based on the estimated dominant AoA and one or more remaining AoAs spaced apart from the estimated dominant AoA; receive, at the antenna array during a current period, a second directional electromagnetic signal including data symbols; determine a beamforming vector for data reception of the second directional electromagnetic signal based on the updated beamforming codebook; and detect the data symbols in the second directional electromagnet

Abstract: A first antenna array includes antenna panels including: first antenna panels arranged on a first circle having a first radius, each of the first antenna panels including antenna elements; and second antenna panels arranged on a second circle having a second radius, each of the second antenna panels including antenna elements, the second circle being concentric with the first circle at a center point, the second antenna panels being arranged at a first angle around the center point with respect to the first antenna panels, the first radius, the second radius, and the first angle being computed in accordance with wireless transmission conditions including: a line-of-sight distance to a second antenna array including third antenna panels arranged on two or more circles; and a carrier frequency of a line-of-sight wireless transmission between the first antenna array and the second antenna array.

Abstract: A method of compensating for IQ mismatch (IQMM) in a transceiver may include sending first and second signals from a transmit path through a loopback path, using a phase shifter to introduce a phase shift in at least one of the first and second signals, to obtain first and second signals received by a receive path, using the first and second signals received by the receive path to obtain joint estimates of transmit and receive IQMM, at least in part, by estimating the phase shift, and compensating for IQMM using the estimates of IQMM. Using the first and second signals received by the receive path to obtain estimates of the IQMM may include processing the first and second signals received by the receive path as a function of one or more frequency-dependent IQMM parameters.

Abstract: A system and method for configuring an RF network based on machine learning. In some embodiments, the method includes: receiving, by a first neural network, a first state and a first state transition, the first state including: one or more identifiers for available active ports, and a set of available connections between two or more circuit elements, each of the circuit elements being one of: (1) a first circuit type, (2) a second circuit type that operatively connects a circuit element of the first circuit type to one of the available active ports, and (3) the available active ports; and generating, by the first neural network, a first estimated quality value, for the first state transition.

Abstract: Provided is a method of decoding, the method including receiving, by a user equipment (UE), a downlink control information (DCI) that is encoded, identifying, by the UE, a first bit position of the DCI as a known bit, and reducing a number of candidate code words for the DCI based on the known bit.