Abstract: An embodiment method for network communications includes receiving, by a network device, a plurality of channel quality indicator (CQI) symbols and one or more acknowledgement (ACK) symbols and selecting a reduced set of candidate CQI symbols by comparing a plurality of candidate CQI symbols with the plurality of CQI symbols. The method further includes generating a plurality of candidate CQI and ACK symbol combinations by combining the reduced set of candidate CQI symbols with candidate ACK symbols. The network device detects the plurality of CQI symbols and the one or more ACK symbols by comparing the plurality of candidate CQI and ACK symbol combinations with the plurality of CQI symbols and the one or more ACK symbols.

Abstract: A full-duplex transceiver with passive inter-modulation (PIM) cancellation using a feedforward filtering structure is presented. The transceiver can comprise a duplexer, a transmitter, a receiver, a summer, and a behavioral model module (BMM) that is used to estimate an estimated inter-modulated signal using a feedforward structure. The summer receives a receive signal output from the receiver and a compensation signal, and output a PIM compensated receive signal based on the difference between the receive signal output and the compensation signal. Further, the BMM receives the multiband transmit signal input and the PIM compensated receive signal, where the BMM tunes the transceiver to output a PIM compensated receive signal. The BMM generates an estimated compensation signal from an align term, lag terms, and lead terms of the transmitted signals. The embodiments disclosed herein can be applicable to communication networks experiencing PIM distortion in a radio frequency chain.

Abstract: A full-duplex transceiver with passive inter-modulation (PIM) cancellation using feedforward plus a feedback filtering structure is presented. The transceiver comprises a duplexer, a transmitter, a receiver, a summer, and a behavioral model module (BMM) that is used to generate an estimated inter-modulated signal using a feedforward plus feedback structure. The summer receives a receive signal output from the receiver and an estimated compensation signal, and outputs a PIM compensated receive signal based on the difference between the receive signal output and the estimated compensation signal. Further, the BMM receives the multiband transmit signal input and the PIM compensated receive signal, and tunes the transceiver to output the PIM compensated receive signal. The BMM generates the estimated compensation signal from an align term, lag terms, lead terms, and feedback of the transmitted signals.

Abstract: An embodiment method for network communications includes receiving, by a network device, a plurality of channel quality indicator (CQI) symbols and one or more acknowledgement (ACK) symbols and selecting a reduced set of candidate CQI symbols by comparing a plurality of candidate CQI symbols with the plurality of CQI symbols. The method further includes generating a plurality of candidate CQI and ACK symbol combinations by combining the reduced set of candidate CQI symbols with candidate ACK symbols. The network device detects the plurality of CQI symbols and the one or more ACK symbols by comparing the plurality of candidate CQI and ACK symbol combinations with the plurality of CQI symbols and the one or more ACK symbols.

Abstract: A method includes measuring an operating parameter of a battery of a mobile device. The measured operating parameter is translated into an equivalent series resistance (ESR) value. The ESR value is adjusted by a correction factor to generate a corrected ESR value. The capacity of the battery is determined based on the corrected ESR value. The correction factor is automatically calibrated based on the measured operating parameter.

Abstract: A method includes measuring an operating parameter of a battery of a mobile device. The measured operating parameter is translated into an equivalent series resistance (ESR) value. The ESR value is adjusted by a correction factor to generate a corrected ESR value. The capacity of the battery is determined based on the corrected ESR value. The correction factor is automatically calibrated based on the measured operating parameter.

Abstract: In accordance with the teachings described herein, systems and methods are provided for battery capacity estimation. A profile table may be used that relates a plurality of battery profile values with a plurality of operating parameter values. The profile table may be accessed to translate one or more measured operating parameters into one or more corresponding battery profile values. One or more of the battery profile values may be adjusted by a correction factor to generate a corrected battery profile value. The available capacity of the battery may be calculated using the corrected battery profile value. The correction factor may then be automatically calibrated by using an estimated battery profile value calculated from the one or more measured operating parameter.

Abstract: In accordance with the teachings described herein, systems and methods are provided for battery capacity estimation. A profile table may be used that relates a plurality of battery profile values with a plurality of operating parameter values. The profile table may be accessed to translate one or more measured operating parameters into one or more corresponding battery profile values. One or more of the battery profile values may be adjusted by a correction factor to generate a corrected battery profile value. The available capacity of the battery may be calculated using the corrected battery profile value. The correction factor may then be automatically calibrated by using an estimated battery profile value calculated from the one or more measured operating parameter.

Abstract: In accordance with the teachings described herein, systems and methods are provided for battery capacity estimation. A profile table may be used that relates a plurality of battery profile values with a plurality of operating parameter values. The profile table may be accessed to translate one or more measured operating parameters into one or more corresponding battery profile values. One or more of the battery profile values may be adjusted by a correction factor to generate a corrected battery profile value. The available capacity of the battery may be calculated using the corrected battery profile value. The correction factor may then be automatically calibrated by using an estimated battery profile value calculated from the one or more measured operating parameter.

Abstract: Methods and apparatus to perform noise estimation for frequency-domain equalizers of high-speed downlink packet access (HSDPA) receivers are disclosed. An example method comprises measuring a total power associated with a code division multiple access (CDMA) signal received through a plurality of multipaths, measuring a plurality of channel responses for respective ones of the plurality of multipaths, measuring a plurality of noise plus inter-path interference powers for the respective ones of the plurality of multipaths, and estimating an additive noise power for the received CDMA signal based on the total power, the plurality of channel responses and the plurality of noise plus inter-path interference powers.

Abstract: In accordance with the teachings described herein, systems and methods are provided for battery capacity estimation. A profile table may be used that relates a plurality of battery profile values with a plurality of operating parameter values. The profile table may be accessed to translate one or more measured operating parameters into one or more corresponding battery profile values. One or more of the battery profile values may be adjusted by a correction factor to generate a corrected battery profile value. The available capacity of the battery may be calculated using the corrected battery profile value. The correction factor may then be automatically calibrated by using an estimated battery profile value calculated from the one or more measured operating parameter.