Methods and systems are provided for dynamically adjusting broadcast beam patterns of a wavefront emitted by an antenna array based on the velocities of devices communicatively coupled to the base station associated with the antenna array. The broadcast beam patterns can be adjusted by modifying the broadcast mode or at least one phase, amplitude, or power of the at least one antenna associated with the base station. Adjusting the beam pattern, for example between multiple beams and a single unified beam, based on device types can improve the quality of service for the devices and reduce the processing burden of the base station.

The described technology is generally directed towards adaptively changing which transmission scheme a user equipment is to use based on a Doppler metric (e.g. Doppler frequency) as evaluated against a threshold Doppler value. A network instructs a user equipment to use a Rank-1 precoder cycling transmission scheme if the Doppler metric of user equipment is above a threshold value, or to use a closed loop MIMO transmission scheme if the user equipment has a Doppler metric below the threshold value. The network can instruct the user equipment via a suitable message, or by switching off TPMI and notifying the user equipment thereof.

A method for autonomous vehicle localization. The method may include receiving, by an autonomous vehicle, millimeter-wave signals from at least two 5G transmission points. Bearing measurements may be calculated relative to each of the 5G transmission points based on the signals. A vehicle velocity may be determined by observing characteristics of the signals. Sensory data, including the bearing measurements and the vehicle velocity, may then be fused to localize the autonomous vehicle. A corresponding system and computer program product are also disclosed and claimed herein.

A method for autonomous vehicle localization. The method may include receiving, by an autonomous vehicle, millimeter-wave signals from at least two 5G transmission points. Bearing measurements may be calculated relative to each of the 5G transmission points based on the signals. A vehicle velocity may be determined by observing characteristics of the signals. Sensory data, including the bearing measurements and the vehicle velocity, may then be fused to localize the autonomous vehicle. A corresponding system and computer program product are also disclosed and claimed herein.

The present application relates to active sensors for vehicles to detect possible obstacles. The application teaches an obstacle detection system for a host vehicle which includes: (a) a vehicle navigation system comprising: (a) a vehicle trajectory detector, (b) a geolocator circuit, and (c) a clock output; (b) an energy emitting type sensor (active sensor) to transmit energy (Tx Signal) towards a direction in a field of view of said active sensor and to receives a Tx Signal reflection (Rx Signal) reflected off of objects present within the field of view, wherein the field of view is directed towards a front of the host vehicle and said active sensor is digitally configurable to operate according to at least two different operating regimes; and (c) an active sensor controller configured to select an operating regime for said digitally configurable active sensor based on a ruleset which factors one or more navigation system outputs provided by said vehicle navigation system.

The present application relates to active sensors for vehicles to detect possible obstacles. The application teaches an obstacle detection system for a host vehicle which includes: (a) a vehicle navigation system comprising: (a) a vehicle trajectory detector, (b) a geolocator circuit, and (c) a clock output; (b) an energy emitting type sensor (active sensor) to transmit energy (Tx Signal) towards a direction in a field of view of said active sensor and to receives a Tx Signal reflection (Rx Signal) reflected off of objects present within the field of view, wherein the field of view is directed towards a front of the host vehicle and said active sensor is digitally configurable to operate according to at least two different operating regimes; and (c) an active sensor controller configured to select an operating regime for said digitally configurable active sensor based on a ruleset which factors one or more navigation system outputs provided by said vehicle navigation system.

Multivariate position estimation can be performed to provide a position estimate of a moving object. The multivariate position estimation approach can employ multiple types of information including time of arrival (or time difference of arrival), angle of arrival, Doppler, and/or prior location information in an iterative process to calculate a location estimate that is highly accurate. In particular, the multivariate position estimation approach can employ the statistical quality of each of these types of information to quickly arrive at a highly accurate position estimate within a 3D coordinate system. The multivariate position estimation approach can be implemented in environments where a single receiver is available as well as in environments where multiple receivers exist.

Multivariate position estimation can be performed to provide a position estimate of a moving object. The multivariate position estimation approach can employ multiple types of information including time of arrival (or time difference of arrival), angle of arrival, Doppler, and/or prior location information in an iterative process to calculate a location estimate that is highly accurate. In particular, the multivariate position estimation approach can employ the statistical quality of each of these types of information to quickly arrive at a highly accurate position estimate within a 3D coordinate system. The multivariate position estimation approach can be implemented in environments where a single receiver is available as well as in environments where multiple receivers exist.

Method performed by a first node (101) for managing a movement of a radio antenna (120). The first node (101) operates in a wireless communications network (100). The first node (101) determines (302) whether the movement of the radio antenna (120) is above a threshold over a time period. The radio antenna (120) is connected to a second node (102) operating in the wireless communications network (100). The movement is with respect to at least one wireless device (140) operating in the wireless communications network (100). The determining (302) is based on an analysis of one or more properties of radio transmissions to or from the radio antenna (120) over the time period. The first node (101) initiates (304) providing a message to one of: the second node (102) and a third node (103) operating in the wireless communications network (100). The initiation is based on a result of the determination.

Method performed by a first node (101) for managing a movement of a radio antenna (120). The first node (101) operates in a wireless communications network (100). The first node (101) determines (302) whether the movement of the radio antenna (120) is above a threshold over a time period. The radio antenna (120) is connected to a second node (102) operating in the wireless communications network (100). The movement is with respect to at least one wireless device (140) operating in the wireless communications network (100). The determining (302) is based on an analysis of one or more properties of radio transmissions to or from the radio antenna (120) over the time period. The first node (101) initiates (304) providing a message to one of: the second node (102) and a third node (103) operating in the wireless communications network (100). The initiation is based on a result of the determination.