Beamforming methods and systems include determining a tradeoff curve between scanning beamwidth and transmission beamwidth based on a channel distribution for a base station. A set of scanning beams is selected based on the tradeoff curve. Devices around the base station are scanned for using the set of scanning beams. A set of transmission beams is selected for communications with the devices based on information received during the scanning. The set of transmission beams are used for transmission with a beamforming transmitter.

Beamforming methods and systems include determining a tradeoff curve between scanning beamwidth and transmission beamwidth based on a channel distribution for a base station. A set of scanning beams is selected based on the tradeoff curve. Devices around the base station are scanned for using the set of scanning beams. A set of transmission beams is selected for communications with the devices based on information received during the scanning. The set of transmission beams are used for transmission with a beamforming transmitter.

An antenna system includes at least a first antenna processing unit, APU1, and a second antenna processing unit, APU2, adjacently connected to each other through a serialized front haul. Each one of the APU1 and APU2 has at least two antenna elements. The antenna elements of APU1 are connected to their respective Radio Frequency, RF, chains via a first beamforming unit, and the antenna elements of APU2 are connected to their respective RF chains via a second beamforming unit. A network node configures the first beamforming unit and the second beamforming unit such that an absolute value of an angular difference between at least one of the beam directions generated by the first beamforming unit and each of the beam directions generated by the second beamforming unit exceeds or is equal to a threshold value.

An antenna system includes at least a first antenna processing unit, APU1, and a second antenna processing unit, APU2, adjacently connected to each other through a serialized front haul. Each one of the APU1 and APU2 has at least two antenna elements. The antenna elements of APU1 are connected to their respective Radio Frequency, RF, chains via a first beamforming unit, and the antenna elements of APU2 are connected to their respective RF chains via a second beamforming unit. A network node configures the first beamforming unit and the second beamforming unit such that an absolute value of an angular difference between at least one of the beam directions generated by the first beamforming unit and each of the beam directions generated by the second beamforming unit exceeds or is equal to a threshold value.

Certain aspects of the present disclosure provide techniques for configuring beam failure recovery operations. A method includes performing beam failure detection of a beam pair link associated with a secondary cell, wherein a user equipment (UE) is configured with one or more uplink control channel groups, each of the one or more uplink control channel groups comprising a corresponding plurality of component carriers where one of the corresponding plurality of component carriers is designated for communication of an uplink control channel for the corresponding uplink control channel group; determining one or more cells on which to send a beam failure recovery request (BFRQ) message based on a number of uplink control channel groups the UE is configured with; sending the BFRQ on the one or more cells; and receiving a beam failure recovery response message on at least one of the one or more cells.

A system, method, and computer program product is provided to select at least one channel based on one or more channel characteristics and initiate a first transmission to a first multiple-input-multiple-output (MIMO)-capable portable wireless device, and further initiate a second transmission to a second multiple-input-multiple-output (MIMO)-capable portable wireless device, such that at least a portion of the first transmission occurs simultaneously with at least a portion of the second transmission and both occur via a first wireless protocol; and is further configured to initiate a third transmission to a third multiple-input-multiple-output (MIMO)-capable portable wireless device via a second wireless protocol including a 802.11n protocol, where the first wireless protocol includes another 802.11 protocol other than the 802.11n protocol.

A system, method, and computer program product is provided to select at least one channel based on one or more channel characteristics and initiate a first transmission to a first multiple-input-multiple-output (MIMO)-capable portable wireless device, and further initiate a second transmission to a second multiple-input-multiple-output (MIMO)-capable portable wireless device, such that at least a portion of the first transmission occurs simultaneously with at least a portion of the second transmission and both occur via a first wireless protocol; and is further configured to initiate a third transmission to a third multiple-input-multiple-output (MIMO)-capable portable wireless device via a second wireless protocol including a 802.11n protocol, where the first wireless protocol includes another 802.11 protocol other than the 802.11n protocol.

Aspects of the present invention provide systems and methods for distributed signal processing of indoor localization signals wherein statistical algorithms and machine learning are used in place of a fingerprint map. The disclosure relates to calculation of angle and distance based on measurements of an indoor localization signal, followed by energy-efficient distribution of signal processing. Local signal processing is performed using any of multiple eigen structure algorithms or a linear probabilistic inference, before cloud-based signal processing is performed using a nonlinear probabilistic inference and machine learning that's been trained with historical data transmitted by the base stations and time-of-day location patterns. Without having to generate and constantly update an energy-exorbitant fingerprint map, the disclosed system reduces localization error to merely 50 cm with 95% probability without compromising energy-efficiency to rival the accuracy of indoor localization systems that utilize fingerprinting.

Aspects of the present invention provide systems and methods for distributed signal processing of indoor localization signals wherein statistical algorithms and machine learning are used in place of a fingerprint map. The disclosure relates to calculation of angle and distance based on measurements of an indoor localization signal, followed by energy-efficient distribution of signal processing. Local signal processing is performed using any of multiple eigen structure algorithms or a linear probabilistic inference, before cloud-based signal processing is performed using a nonlinear probabilistic inference and machine learning that's been trained with historical data transmitted by the base stations and time-of-day location patterns. Without having to generate and constantly update an energy-exorbitant fingerprint map, the disclosed system reduces localization error to merely 50 cm with 95% probability without compromising energy-efficiency to rival the accuracy of indoor localization systems that utilize fingerprinting.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may perform a digital simulation to determining a precoding matrix indicator (PMI) associated with a digital reception beam. A base station may send, to the UE, a reference signal, and the UE may generate digital sector beams spanning a set of oversampled digital reception beams. The digital sector beams may be generated based on the number of antennas of the UE and a Kaiser Window configuration. The UE may perform a coarse beam search procedure on the reference signal using the set of digital sector beams and select a digital sector beam for a refined beam search used to determine a PMI for reporting to the base station.