Abstract: Millimeter-wave (mmWave) and sub-mmWave technology, apparatuses, and methods that relate to transceivers and receivers for wireless communications are described. The various aspects include an apparatus of a communication device including one or more antennas configured to receive an RF signal and an ADC system. The ADC system includes a 1-bit ADC configured to receive the RF signal, and an ADC controller circuitry configured to measure a number of positive samples in the received RF signal for a plurality of thresholds of the 1-bit ADC, estimate receive signal power associated with the received RF signal based on the measured number of positive samples, determine a direct current (DC) offset in the received RF signal using the estimated received signal power, and adjust the received RF signal based on the determined DC offset.

Abstract: A mechanism for adjusting the data rate of data to be transmitted over a data channel based on anticipated changes in the communication channel, rather than based on the current state of the communication channel. This is done by accessing real time environment context data obtained from sensor data generated by one or more sensors of a sensor device, and then predicting a future capacity of a communication channel with a subject head-mounted device based on the accessed real time environment context data. The appropriate data rate is then determined based on this predicted future channel capacity rather than the current channel capacity. The data rate of data that is initiated towards the communication channel is then adjusted based on the determined data rate in anticipation of the predicted future capacity of the communication channel.

Abstract: A computing system configured to determine a time, a frequency, or a volume that time-critical data are to arrive and generate an uplink scheduling request based on the determined time, frequency, or volume. The uplink scheduling request is then sent to a base station, requesting an uplink grant. The computing system then receives the uplink grant from the base station over the radio interface. The uplink grant contains scheduling information associated with transmission of the time-critical data. In response to arrival of the time-critical data, the computing system then transmits the time-critical data over the radio interface based on the uplink grant with no or little latency.

Abstract: A mechanism for adjusting the data rate of data to be transmitted over a data channel based on anticipated changes in the communication channel, rather than based on the current state of the communication channel. This is done by accessing real time environment context data obtained from sensor data generated by one or more sensors of a sensor device, and then predicting a future capacity of a communication channel with a subject head-mounted device based on the accessed real time environment context data. The appropriate data rate is then determined based on this predicted future channel capacity rather than the current channel capacity. The data rate of data that is initiated towards the communication channel is then adjusted based on the determined data rate in anticipation of the predicted future capacity of the communication channel.

Abstract: A mechanism for repeatedly adjusting communication with a subject head-mounted device based on a changing real time environment of the subject head-mounted device. By utilizing information about the environment context in which the head-mounted device exists, the optimal parameters may be more quickly determined and with less power. The environment context may be generated from sensors on the head-mounted device itself, or from a proximate sensor device. Thus, the communication properties (such as which protocol to use and what parameters) may be quickly determined in time to be useful to maintain a good connection despite movement of the head-mounted device, and despite the connection being dropped and reestablished. Furthermore, limited battery power is more judiciously utilized.

Abstract: A method and apparatus to estimate and mitigate platform noise incurred at a wireless device coupled to the platform. A computing device includes a platform including a first processor, a wireless device coupled to the platform, the wireless device including a second processor, and a plurality of antennas coupled to the wireless device. At least one of the first processor or the second processor is configured to determine characteristics of a platform noise incurred at the wireless device in real-time due to utilization of circuitries and processing components on the platform and implement an adaptive real-time and application/context-aware measure to mitigate the platform noise based on the determined characteristics of the platform noise.

Abstract: Millimeter-wave (mmWave) and sub-mmWave technology, apparatuses, and methods that relate to transceivers and receivers for wireless communications are described. The various aspects include an apparatus of a communication device including one or more antennas configured to receive an RF signal and an ADC system. The ADC system includes a 1-bit ADC configured to receive the RF signal, and an ADC controller circuitry configured to measure a number of positive samples in the received RF signal for a plurality of thresholds of the 1-bit ADC, estimate receive signal power associated with the received RF signal based on the measured number of positive samples, determine a direct current(DC) offset in the received RF signal using the estimated received signal power, and adjust the received RF signal based on the determined DC offset.

Abstract: According to various embodiments, a radar device is described comprising a processor configured to generate a scene comprising an object based on a plurality of receive wireless signals, generate a ground truth object parameter of the object and generate a dataset representative of the scene and a radar detector configured to determine an object parameter of the object using a machine learning algorithm and the dataset, determine an error value of the machine learning algorithm using a cost function, the object parameter, and the ground truth object parameter and adjust the machine learning algorithm values to reduce the error value.

Abstract: Disclosed herein is a passenger monitoring system for monitoring an observed attribute of a passenger in a vehicle. The observed attribute may include a gaze of the passenger, a head track of the passenger, and other observations about the passenger in the vehicle. Based on the observed attribute(s), a field of view of the passenger may be determined. Based on the field of view, a focus point of the passenger may be determined, where the focus point is estimated to be within the field of view. If a sign (e.g., a road sign, a billboard, etc.) is within the field of view of the passenger, record an attention score for the sign based on a duration of time during which the sign is within the field of view and estimated to be the focus point of the passenger.

Abstract: Systems, apparatuses, and methods to response to distinguish a ghost target from an actual target based on radar signals is provided. In particular, the disclosure provides an intrusion detection system adapted to receive radar signals and distinguish a potential ghost target from a legitimate target based on a signal to noise ratio of the radar signals and a range to the ghost target and the legitimate target.

Abstract: Systems, apparatuses, and methods to response to distinguish a ghost target from an actual target based on radar signals and ranges determined from the radar signals. In particular, the disclosure provides an intrusion detection system receiving ranges and velocities for targets detected based on radar signals, determining a potential ghost target from the received velocities and confirming the potential ghost target based on estimated ranges and perturbations of the vehicle speed.