Abstract: An apparatus is disclosed for robust transistor circuitry. In example implementations, an apparatus includes a current mirror and fault handler circuitry that is coupled to the current mirror. The current mirror includes a core transistor having a control terminal, a first transistor, and a second transistor. The first transistor has a control terminal that is coupled to the control terminal of the core transistor. The second transistor has a control terminal that is coupled to the control terminal of the core transistor. The fault handler circuitry is configured to select the first transistor or the second transistor to provide a mirrored current of the current mirror.

Abstract: An apparatus is disclosed for making circuitry with passive fundamental components more robust. In example implementations, an apparatus includes at least one passive fundamental component and at least one redundant passive fundamental component. The apparatus also includes fault tolerant circuitry coupled to the at least one passive fundamental component and the at least one redundant passive fundamental component. The fault tolerant circuitry includes fault detection circuitry configured to detect a fault of the at least one passive fundamental component. The fault tolerant circuitry also includes component repair circuitry configured to disconnect the at least one passive fundamental component based on the fault.

Abstract: An advantageously fast and asynchronous interface is disclosed for the tuning of an RF frontend. The interface transmits a tuning word to the RF frontend that controls a tuning of the RF frontend responsive to a channel index.

Abstract: An advantageously fast and asynchronous interface is disclosed for the tuning of an RF frontend. The interface transmits a tuning word to the RF frontend that controls a tuning of the RF frontend responsive to a channel index.

Abstract: An apparatus includes a first low noise amplifier (LNA) in a first receive path. The apparatus further includes receive circuitry in the first receive path. The receive circuitry is configured to receive an output of the first LNA and to receive an output of a second LNA within a second receive path.

Abstract: An apparatus includes a first low noise amplifier (LNA) in a first receive path. The apparatus further includes receive circuitry in the first receive path. The receive circuitry is configured to receive an output of the first LNA and to receive an output of a second LNA within a second receive path.

Abstract: A system and method in which the position update rate is adaptively modified, based on previous position measurements. By adjusting the update rate based on velocity predictions from two or more position fixes, a lower update rate may be used without exceeding the maximum error. Lowering the update rate reduces power consumption in the UE, providing longer battery operation. The updating method may comprise periodically repeating the velocity prediction and periodically adjusting the update rate responsive thereto. The update rate may be adjusted using additional information such as an acceleration prediction, a minimum update rate, or a preferred error. In some embodiments a model for user movement may be used to provide more accurate predictions, for example, stationary, walking, jogging, city driving, and freeway driving. The updating method may comprise receiving user input regarding the maximum position error.

Abstract: A system and method in which the position update rate is adaptively modified, based on previous position measurements. By adjusting the update rate based on velocity predictions from two or more position fixes, a lower update rate may be used without exceeding the maximum error. Lowering the update rate reduces power consumption in the UE, providing longer battery operation. The updating method may comprise periodically repeating the velocity prediction and periodically adjusting the update rate responsive thereto. The update rate may be adjusted using additional information such as an acceleration prediction, a minimum update rate, or a preferred error. In some embodiments a model for user movement may be used to provide more accurate predictions, for example, stationary, walking, jogging, city driving, and freeway driving. The updating method may comprise receiving user input regarding the maximum position error.