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: Methods and systems of obtaining a beamforming matrix, the method comprising inputting PMI feedback from a user equipment (UE), inputting partial channel estimation derived from sounding reference signal (SRS) switching, and composing a precoding matrix using the PMI feedback and partial channel estimation.

Abstract: A method for minimizing a time domain mean square error (MSE) of channel estimation (CE) includes estimating, by a processor, a power delay profile (PDP) from a time domain observation of reference signal (RS) channels; estimating, by the processor, a noise variance of the RS channels; and determining, by the processor, a first arrival path (FAP) value and a delay spread estimation (DSE) value based on the estimated PDP and the estimated noise variance for minimizing the MSE of CE.

Abstract: Methods and systems of obtaining a beamforming matrix, the method comprising inputting PMI feedback from a user equipment (UE), inputting partial channel estimation derived from sounding reference signal (SRS) switching, and composing a precoding matrix using the PMI feedback and partial channel estimation.

Abstract: Compressive sensing (CS) channel recovery using history measurements. Both current and history measurements for AoAs estimation, and only use current measurement for coefficient estimation. The dominant angle of arrival (AoA) is estimated using history and current measurements. In Approach 1, the dominant AoA is invariant and the coefficients are uncorrelated. In Approach 2, the dominant AoA is invariant and the coefficients are fully correlated. The remaining AoAs are estimated. The coefficients corresponding to each estimated dominant AoA are estimated. And the channel is recovered.

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: Low-complexity methods of calculating a precoding matrix for use in MIMO transmission. In some embodiments, a method of calculating a precoding matrix includes (i) calculating a first portion of a first singular value decomposition, based on a first portion of a channel matrix; (ii) calculating a second portion of a second singular value decomposition, based on a second portion of the channel matrix; (iii) calculating an intermediate matrix, based on: the first portion of the first singular value decomposition and the second portion of the second singular value decomposition; and (iv) calculating a matrix of approximate right singular vectors. The calculating of the matrix of approximate right singular vectors may include calculating a product of factors, the factors including a first factor based on the conjugate transpose of the intermediate matrix, a second factor based on a unitary matrix, and a third factor based on a diagonal matrix.

Abstract: A method and system analog beamforming for a single-connected antenna array is herein disclosed. A method includes estimating analog channels on a per-antenna basis, calculating explicitly an analog beamforming matrix based on the estimated analog channels, and performing analog beamforming based on the calculated analog beamforming matrix.

Abstract: Disclosed is an apparatus and a method of deriving an optimal precoder, in which a precoder is derived using water filling power allocation, and then is multiplied with some unitary matrix satisfying certain conditions to meet a per layer power constraint. Since the multiplication with the unitary matrix does not change the capacity, the derived precoder is optimal in achieving maximum capacity in a multiple input multiple output (MIMO) wireless communication scheme.

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 method for minimizing a time domain mean square error (MSE) of channel estimation (CE) includes estimating, by a processor, a power delay profile (PDP) from a time domain observation of reference signal (RS) channels; estimating, by the processor, a noise variance of the RS channels; and determining, by the processor, a first arrival path (FAP) value and a delay spread estimation (DSE) value based on the estimated PDP and the estimated noise variance for minimizing the MSE of CE.

Abstract: Compressive sensing (CS) channel recovery using history measurements. Both current and history measurements for AoAs estimation, and only use current measurement for coefficient estimation. The dominant angle of arrival (AoA) is estimated using history and current measurements. In Approach 1, the dominant AoA is invariant and the coefficients are uncorrelated. In Approach 2, the dominant AoA is invariant and the coefficients are fully correlated. The remaining AoAs are estimated. The coefficients corresponding to each estimated dominant AoA are estimated. And the channel is recovered.

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 receiver circuit for separating a plurality of layers multiplexed in an orthogonal frequency domain multiplexed (OFDM) signal includes: a descrambling sub-circuit configured to descramble a plurality of signals received on non-adjacent subcarriers of the OFDM signal to generate a plurality of descrambled signals; an inverse fast Fourier transform sub-circuit configured to transform the descrambled signals from a frequency domain to a received signal including a plurality of samples in a time domain; and a layer separation sub-circuit configured to separate the layers multiplexed in the received signal by: defining a first time domain sampling window and a second time domain sampling window in accordance with a size of the inverse fast Fourier transform; extracting one or more first layers from the samples in the first time domain sampling window; and extracting one or more second layers from the samples in the second time domain sampling window.

Abstract: A synchronization detection method for new radio (NR) sidelink. In some embodiments, the method includes calculating a first delay compensated input signal, calculating a first correlation value, calculating a first correlation power, calculating a first weighted correlation power, and detecting a synchronization signal. The first delay compensated input signal may be based on an input signal, and an index of a first tap value. The first correlation value may be based on a first candidate sequence and the first delay compensated input signal. The first correlation power may be based on the first correlation value. The first weighted correlation power may be based on a first weighting factor, and the first correlation power. The detecting of the synchronization signal may include using the first weighted correlation power.

Abstract: A system and method for providing channel recovery for angle domain sparse channels is herein provided. According to one embodiment, a method includes receiving an input including a measurement output, and recovering analog channels utilizing bases derived from the measurement output.

Abstract: A method for minimizing a time domain mean square error (MSE) of channel estimation (CE) includes estimating, by a processor, a power delay profile (PDP) from a time domain observation of reference signal (RS) channels; estimating, by the processor, a noise variance of the RS channels; and determining, by the processor, a first arrival path (FAP) value and a delay spread estimation (DSE) value based on the estimated PDP and the estimated noise variance for minimizing the MSE of CE.

Abstract: An apparatus and method for dynamically selecting a beamforming codebook and hierarchically generating beamforming codebooks is provided. According to one embodiment, an apparatus includes a channel estimation processor configured to receive a signal using a current beamforming codebook in a current beam sweeping period; a look-up table configured to store a plurality of beamforming codebooks; a state abstraction processor connected between the channel estimation processor and the look-up table, and configured to determine a codebook index based on a current channel condition as a function of the received signal and the current beamforming codebook, and select one of the plurality of beam sweeping codebooks in the look-up table as the beamforming codebook for the next beam sweeping period based on the codebook index.

Abstract: A method and system for selecting precoding matrix index are herein disclosed. The method includes determining a precoder and candidate beams, selecting base beams based on a correlation power between the determined precoder and determined candidate beams, and estimating amplitude coefficients and cophase coefficients by projecting a channel on the selected base beams.

Abstract: An apparatus including a plurality of multipliers each configured to multiply correlations by a weight, wherein the correlations include a plurality of subsets of correlations, wherein the weight of each of the plurality of multipliers is uniquely different from the weights of at least two of the plurality of multipliers and the correlations; a summation processor configured to sum the weight multiplied correlations of the plurality of multipliers for time n, where n is an integer; and a coarse timing and coarse frequency processor configured to generate a coarse timing and a coarse frequency based on the sum.