Abstract: Some aspects relate to apparatuses and methods for selecting a receiving beam based on hybrid channel based beamforming and codebook based beamforming. A user equipment (UE) can determine, based on a first measurement related to signal to noise ratio (SNR) and predetermined threshold values, whether the UE is in a low SNR state. If the UE is in a low SRN state, the UE can derive an estimated channel covariance matrix RCH for channels at a set of antenna elements of the UE based on channel based bearmforming (CHBF). Afterwards, a set of test bears {0, . . . Ntest?1} is selected based on the channel covariance matrix RCH, and a set of codebook measurement beams is further selected based on the set of test beams. A receiving beam is selected based on a set of measurements performed on the set of codebook measurement beams at the measurement opportunity for codebook based beamforming (CBBF).

Abstract: Some aspects relate to apparatuses and methods for selecting a receiving beam based on hybrid channel based beamforming and codebook based beamforming. A user equipment (UE) can determine, based on a first measurement related to signal to noise ratio (SNR) and predetermined threshold values, whether the UE is in a low SNR state. If the UE is in a low SRN state, the UE can derive an estimated channel covariance matrix RCH for channels at a set of antenna elements of the UE based on channel based bearmforming (CHBF). Afterwards, a set of test bears {0, . . . Ntest?1} is selected based on the channel covariance matrix RCH, and a set of codebook measurement beams is further selected based on the set of test beams. A receiving beam is selected based on a set of measurements performed on the set of codebook measurement beams at the measurement opportunity for codebook based beamforming (CBBF).

Abstract: Some aspects relate to apparatuses and methods for selecting a receiving beam based on hybrid channel based beamforming and codebook based beamforming. A user equipment (UE) can determine, based on a first measurement related to signal to noise ratio (SNR) and predetermined threshold values, whether the UE is in a low SNR state. If the UE is in a low SRN state, the UE can derive an estimated channel covariance matrix RCH for channels at a set of antenna elements of the UE based on channel based beamforming (CHBF). Afterwards, a set of test beams {0, . . . Ntest?1} is selected based on the channel covariance matrix RCH, and a set of codebook measurement beams is further selected based on the set of test beams. A receiving beam is selected based on a set of measurements performed on the set of codebook measurement beams at the measurement opportunity for codebook based beamforming (CBBF).

Abstract: Some aspects relate to apparatuses and methods for selecting a receiving beam based on hybrid channel based beamforming and codebook based beamforming. A user equipment (UE) can determine, based on a first measurement related to signal to noise ratio (SNR) and predetermined threshold values, whether the UE is in a low SNR state. If the UE is in a low SRN state, the UE can derive an estimated channel covariance matrix RCH for channels at a set of antenna elements of the UE based on channel based beamforming (CHBF). Afterwards, a set of test beams {0, . . . Ntest?1} is selected based on the channel covariance matrix RCH, and a set of codebook measurement beams is further selected based on the set of test beams. A receiving beam is selected based on a set of measurements performed on the set of codebook measurement beams at the measurement opportunity for codebook based beamforming (CBBF).

Abstract: A method for determining geometric information of mmWave network devices is provided, comprising collecting measures, by at least one of the devices, of signal strength and SNR of a transmission received from another device of the mmWave network; the step of estimating angle information of the received signal to generate a set of informed particles (Pi) comprising the initial values of the state of each informed particle input in a modified particle filter; the modified particle filter causing the evolution of the set of informed particles (Pi) and of past particles (Pp) to obtain a set of evolved particles (Pe) which at the same time evolves to obtain a set of posterior particles (PPost) delivered by the modified particle filter. Finally, the modified particle filter delivers as output the final values of the geometric information of at least one device extracted from the delivered set of posterior particles (PPost).

Abstract: A method for determining geometric information of mmWave network devices is provided, comprising collecting measures, by at least one of the devices, of signal strength and SNR of a transmission received from another device of the mmWave network; the step of estimating angle information of the received signal to generate a set of informed particles (Pi) comprising the initial values of the state of each informed particle input in a modified particle filter; the modified particle filter causing the evolution of the set of informed particles (Pi) and of past particles (Pp) to obtain a set of evolved particles (Pe) which at the same time evolves to obtain a set of posterior particles (PPost) delivered by the modified particle filter. Finally, the modified particle filter delivers as output the final values of the geometric information of at least one device extracted from the delivered set of posterior particles (PPost).