Abstract: A method for providing uplink link adaptation in 5G base stations is presented.

Abstract: Methods and computer software are disclosed for determining a power budget for physical channels in a system. The method may include, obtaining a mean and variance of a previously computed power component; determining an estimate of a current power component in a current frame based on the mean and variance of the previously computed power component; and computing a power budget in a current frame using the estimate of the current power component.

Abstract: A method and system for performing Over-The-Air (OTA) testing for 5G New Radio (NR) beamforming is presented. In one embodiment the method includes transmitting, by only the User Equipments (UEs) U and Sx, the Orthogonal Frequency Division Multiplexing (OFDM) symbols containing UL Demodulation Reference Signal (DMRS) that are orthogonal to each other during Uplink (UL) subframes; performing, by a gNB, channel estimation in the same UL subframe, precoding matrix computation, and antenna elements weighting coefficient computations; transmitting, by the gNB in a subsequent Downlink (DL) subframe, known data streams to UEs U and Sx using the massive MU-MIMO beamforming coefficients; collecting by the host PC, the IQ samples from the UE U and all the victim UEs Vx in the DL subframe; and evaluating a performance of the beam that was meant for UE U.

Abstract: A method for providing uplink link adaptation in 5G base stations is presented.

Abstract: Methods and computer software are disclosed for determining a power budget for physical channels in a system. The method may include, obtaining a mean and variance of a previously computed power component; determining an estimate of a current power component in a current frame based on the mean and variance of the previously computed power component; and computing a power budget in a current frame using the estimate of the current power component.

Abstract: Systems, methods and computer software are disclosed for providing high resolution timing advance estimation based on Physical Random Access Channel (PRACH). An example method includes receiving a preamble signal r(n) having a predetermined sampling frequency and a predetermined length; correlating a down sampled version of the received preamble with a reference preamble sequence c(n) using an FFT method to provide correlation output Ryc; using a peak value P of the correlation output Ryc to detect a preamble ID and a timing advance at a resolution of 24 Ts; zero padding sequences Y(k) and C(k) so that they have a predetermined length resulting in sequences Y_hat(k) and C_hat(k), which are 1024-point FFT of y(n) and c(n); performing a maximum likelihood estimation (MLE) to estimate a timing offset; and detecting a peak value out of the R_hat(m) and using a corresponding index Q to provide a timing advance with an accuracy of 2 Ts.

Abstract: Methods and computer software are disclosed for determining a power budget for physical channels in a system. The method may include, obtaining a mean and variance of a previously computed power component; determining an estimate of a current power component in a current frame based on the mean and variance of the previously computed power component; and computing a power budget in a current frame using the estimate of the current power component.

Abstract: A method and system for performing Over-The-Air (OTA) testing for 5G New Radio (NR) beamforming is presented. In one embodiment the method includes transmitting, by only the User Equipments (UEs) U and Sx, the Orthogonal Frequency Division Multiplexing (OFDM) symbols containing UL Demodulation Reference Signal (DMRS) that are orthogonal to each other during Uplink (UL) subframes; performing, by a gNB, channel estimation in the same UL subframe, precoding matrix computation, and antenna elements weighting coefficient computations; transmitting, by the gNB in a subsequent Downlink (DL) subframe, known data streams to UEs U and Sx using the massive MU-MIMO beamforming coefficients; collecting by the host PC, the IQ samples from the UE U and all the victim UEs Vx in the DL subframe; and evaluating a performance of the beam that was meant for UE U.

Abstract: A method for providing uplink link adaptation in 5G base stations is presented.

Abstract: Systems, methods and computer software are disclosed for providing high resolution timing advance estimation based on Physical Random Access Channel (PRACH). An example method includes receiving a preamble signal r(n) having a predetermined sampling frequency and a predetermined length; correlating a down sampled version of the received preamble with a reference preamble sequence c(n) using an FFT method to provide correlation output Ryc; using a peak value P of the correlation output Ryc to detect a preamble ID and a timing advance at a resolution of 24Ts; zero padding sequences Y(k) and C(k) so that they have a predetermined length resulting in sequences Y_hat(k) and C_hat(k), which are 1024-point FFT of y(n) and c(n); performing a maximum likelihood estimation (MLE) to estimate a timing offset; and detecting a peak value out of the R_hat(m) and using a corresponding index Q to provide a timing advance with an accuracy of 2Ts.

Abstract: Systems, methods and computer software are disclosed for providing high resolution timing advance estimation based on Physical Random Access Channel (PRACH). An example method includes receiving a preamble signal r(n); performing signal conditioning on r(n); down sampling the signal and performing antialiasing filtering to provide a y(n) signal; correlating y(n) with a reference preamble with a reference preamble sequence c(n) to provide correlation output Ryc; using a peak value P of the correlation output Ryc to detect a preamble ID and a timing advance; constructing a sequence s(n) by segmenting r_centered(n) for length L around an index P*24; performing time domain interpolation of c(n) around index P to obtain a sequence c_interpolated(n); performing time domain interpolation between sequences s(n) and c_interpolated(n); detecting a peak position Q of the correlation; and deriving TA as P*24?L/2+q in terms of Ts.

Abstract: Methods and computer software are disclosed for determining a power budget for physical channels in a system. The method may include, obtaining a mean and variance of a previously computed power component; determining an estimate of a current power component in a current frame based on the mean and variance of the previously computed power component; and computing a power budget in a current frame using the estimate of the current power component.

Abstract: Systems, methods and computer software are disclosed for providing high resolution timing advance estimation based on Physical Random Access Channel (PRACH). An example method includes receiving a preamble signal r(n); performing signal conditioning on r(n); down sampling the signal and performing antialiasing filtering to provide a y(n) signal; correlating y(n) with a reference preamble with a reference preamble sequence c(n) to provide correlation output Ryc; using a peak value P of the correlation output Ryc to detect a preamble ID and a timing advance; constructing a sequence s(n) by segmenting r_centered(n) for length L around an index P*24; performing time domain interpolation of c(n) around index P to obtain a sequence c_interpolated(n); performing time domain interpolation between sequences s(n) and c_interpolated(n); detecting a peak position Q of the correlation; and deriving TA as P*24?L/2+q in terms of Ts.

Abstract: Systems, methods and computer software are disclosed for providing high resolution timing advance estimation based on Physical Random Access Channel (PRACH). An example method includes receiving a preamble signal r(n) having a predetermined sampling frequency and a predetermined length; correlating a down sampled version of the received preamble with a reference preamble sequence c(n) using an FFT method to provide correlation output Ryc; using a peak value P of the correlation output Ryc to detect a preamble ID and a timing advance at a resolution of 24Ts; zero padding sequences Y(k) and C(k) so that they have a predetermined length resulting in sequences Y_hat(k) and C_hat(k), which are 1024-point FFT of y(n) and c(n); performing a maximum likelihood estimation (MLE) to estimate a timing offset; and detecting a peak value out of the R_hat(m) and using a corresponding index Q to provide a timing advance with an accuracy of 2Ts.