Microsoft Technology Licensing, LLC

Ivan Simoes Gaspar

Syed Toaha Ahmad

Emily Po-Kay Chung

Benjamin Eliot Lundell

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.

Head-mounted device communication adaptation using environment context

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.

Scheduling time-critical data on a radio interface

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.

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West Linn, OR, United States of America

Ivan Simoes Gaspar