Abstract: This disclosure relates to techniques for estimating baseband power consumption and using the baseband power consumption estimation to select baseband operation features. According to some embodiments, one or more baseband power consumption modifiers occurring during an estimation window may be identified. Baseband power consumption of the wireless device during the estimation window may be estimated based on the identified baseband power consumption modifiers occurring during the estimation window. Baseband data throughput of the wireless device during the estimation window may also be estimated. One or more baseband operation characteristics may be selected based at least in part on the estimated baseband power consumption during the estimation window, possibly in conjunction with the estimated baseband data throughput during the estimation window, current wireless medium conditions, and/or other considerations.

Abstract: This disclosure relates to techniques for dynamic selection of connection attempt throttling algorithms based on user context. According to some embodiments, a wireless device may monitor certain current conditions of the UE, such as battery level, user activity level, motion level, and/or other conditions. Depending at least in part on the current conditions of the UE, cellular connection attempt parameters may be selected. In some conditions the cellular connection attempt parameters may be selected such as to allow more aggressive pursuit of cellular connectivity, while in other conditions the cellular connection attempt parameters may be selected such as to allow less aggressive pursuit of cellular connectivity.

Abstract: In one aspect, a system for intelligent monitoring of a network device in a monitored environment includes a processor; a memory; and one or more modules stored in the memory and executable by a processor to perform operations including: capture network device application data for monitored application, capture network device resource data, generate model for transmitting performance data with minimum overhead based on captured network device resource data, and transmit data based on the model.

Abstract: In one aspect, a system for automatic application repair by a network device agent in a monitored environment includes a processor; a memory; and one or more modules stored in the memory and executable by a processor to perform operations including: capture network device application data for a monitored application, the network device performing a function other than computing, analyze the captured data to detect a performance issue, identify a remedy associated with training data that corresponds to the captured data, and automatically applying the remedy to the network device.

Abstract: This disclosure relates to techniques for dynamic selection of connection attempt throttling algorithms based on user context. According to some embodiments, a wireless device may monitor certain current conditions of the UE, such as battery level, user activity level, motion level, and/or other conditions. Depending at least in part on the current conditions of the UE, cellular connection attempt parameters may be selected. In some conditions the cellular connection attempt parameters may be selected such as to allow more aggressive pursuit of cellular connectivity, while in other conditions the cellular connection attempt parameters may be selected such as to allow less aggressive pursuit of cellular connectivity.

Abstract: Described herein are apparatus, systems and methods for adaptive segment size for data transmissions. A method may comprise, at a user equipment (“UE”), identifying a current size setting of a data segment (e.g., a transmission control protocol (“TCP”) maximum segment size (“MSS”)) for communication over a network, receiving current physical layer conditions, receiving historical data, and adjusting the current size setting based on at least one of the current physical layer conditions and the historical data.

Abstract: This disclosure relates to techniques for estimating baseband power consumption and using the baseband power consumption estimation to select baseband operation features. According to some embodiments, one or more baseband power consumption modifiers occurring during an estimation window may be identified. Baseband power consumption of the wireless device during the estimation window may be estimated based on the identified baseband power consumption modifiers occurring during the estimation window. Baseband data throughput of the wireless device during the estimation window may also be estimated. One or more baseband operation characteristics may be selected based at least in part on the estimated baseband power consumption during the estimation window, possibly in conjunction with the estimated baseband data throughput during the estimation window, current wireless medium conditions, and/or other considerations.

Abstract: This disclosure relates to techniques for dynamic selection of connection attempt throttling algorithms based on user context. According to some embodiments, a wireless device may monitor certain current conditions of the UE, such as battery level, user activity level, motion level, and/or other conditions. Depending at least in part on the current conditions of the UE, cellular connection attempt parameters may be selected. In some conditions the cellular connection attempt parameters may be selected such as to allow more aggressive pursuit of cellular connectivity, while in other conditions the cellular connection attempt parameters may be selected such as to allow less aggressive pursuit of cellular connectivity.

Abstract: This disclosure relates to techniques for estimating baseband power consumption and using the baseband power consumption estimation to select baseband operation features. According to some embodiments, one or more baseband power consumption modifiers occurring during an estimation window may be identified. Baseband power consumption of the wireless device during the estimation window may be estimated based on the identified baseband power consumption modifiers occurring during the estimation window. Baseband data throughput of the wireless device during the estimation window may also be estimated. One or more baseband operation characteristics may be selected based at least in part on the estimated baseband power consumption during the estimation window, possibly in conjunction with the estimated baseband data throughput during the estimation window, current wireless medium conditions, and/or other considerations.

Abstract: This disclosure relates to techniques for estimating baseband power consumption and using the baseband power consumption estimation to select baseband operation features. According to some embodiments, one or more baseband power consumption modifiers occurring during an estimation window may be identified. Baseband power consumption of the wireless device during the estimation window may be estimated based on the identified baseband power consumption modifiers occurring during the estimation window. Baseband data throughput of the wireless device during the estimation window may also be estimated. One or more baseband operation characteristics may be selected based at least in part on the estimated baseband power consumption during the estimation window, possibly in conjunction with the estimated baseband data throughput during the estimation window, current wireless medium conditions, and/or other considerations.

Abstract: This disclosure relates to techniques for estimating baseband power consumption and using the baseband power consumption estimation to select baseband operation features. According to some embodiments, one or more baseband power consumption modifiers occurring during an estimation window may be identified. Baseband power consumption of the wireless device during the estimation window may be estimated based on the identified baseband power consumption modifiers occurring during the estimation window. Baseband data throughput of the wireless device during the estimation window may also be estimated. One or more baseband operation characteristics may be selected based at least in part on the estimated baseband power consumption during the estimation window, possibly in conjunction with the estimated baseband data throughput during the estimation window, current wireless medium conditions, and/or other considerations.

Abstract: This disclosure relates to techniques for using wireless link information from baseband to trigger application data activity. According to some embodiments, wireless link information from baseband may be received at an application processor of a wireless device. The wireless link information may indicate whether the wireless link is in a connected state or an idle state. Network activity timing for one or more application network activity requests may be selected based at least in part on the wireless link information. The application network activity may be initiated for the one or more application network activity requests according to the selected network activity timing.

Abstract: In one aspect, a system for automatic application repair by a network device agent in a monitored environment includes a processor; a memory; and one or more modules stored in the memory and executable by a processor to perform operations including: capture network device application data for a monitored application, the network device performing a function other than computing, analyze the captured data to detect a performance issue, identify a remedy associated with training data that corresponds to the captured data, and automatically applying the remedy to the network device.

Abstract: In one aspect, a system for intelligent monitoring of a network device in a monitored environment includes a processor; a memory; and one or more modules stored in the memory and executable by a processor to perform operations including: capture network device application data for monitored application, capture network device resource data, generate model for transmitting performance data with minimum overhead based on captured network device resource data, and transmit data based on the model.

Abstract: This disclosure relates to techniques for estimating baseband power consumption and using the baseband power consumption estimation to select baseband operation features. According to some embodiments, one or more baseband power consumption modifiers occurring during an estimation window may be identified. Baseband power consumption of the wireless device during the estimation window may be estimated based on the identified baseband power consumption modifiers occurring during the estimation window. Baseband data throughput of the wireless device during the estimation window may also be estimated. One or more baseband operation characteristics may be selected based at least in part on the estimated baseband power consumption during the estimation window, possibly in conjunction with the estimated baseband data throughput during the estimation window, current wireless medium conditions, and/or other considerations.

Abstract: This disclosure relates to techniques for dynamic selection of connection attempt throttling algorithms based on user context. According to some embodiments, a wireless device may monitor certain current conditions of the UE, such as battery level, user activity level, motion level, and/or other conditions. Depending at least in part on the current conditions of the UE, cellular connection attempt parameters may be selected. In some conditions the cellular connection attempt parameters may be selected such as to allow more aggressive pursuit of cellular connectivity, while in other conditions the cellular connection attempt parameters may be selected such as to allow less aggressive pursuit of cellular connectivity.

Abstract: This disclosure relates to techniques for estimating baseband power consumption and using the baseband power consumption estimation to select baseband operation features. According to some embodiments, one or more baseband power consumption modifiers occurring during an estimation window may be identified. Baseband power consumption of the wireless device during the estimation window may be estimated based on the identified baseband power consumption modifiers occurring during the estimation window. Baseband data throughput of the wireless device during the estimation window may also be estimated. One or more baseband operation characteristics may be selected based at least in part on the estimated baseband power consumption during the estimation window, possibly in conjunction with the estimated baseband data throughput during the estimation window, current wireless medium conditions, and/or other considerations.

Abstract: This disclosure relates to techniques for dynamic selection of connection attempt throttling algorithms based on user context. According to some embodiments, a wireless device may monitor certain current conditions of the UE, such as battery level, user activity level, motion level, and/or other conditions. Depending at least in part on the current conditions of the UE, cellular connection attempt parameters may be selected. In some conditions the cellular connection attempt parameters may be selected such as to allow more aggressive pursuit of cellular connectivity, while in other conditions the cellular connection attempt parameters may be selected such as to allow less aggressive pursuit of cellular connectivity.

Abstract: A device and corresponding method to determine a buffer status of an application buffer, communicate the buffer status to a baseband processor and determine an activation of a dormancy trigger based on the buffer status of the application buffer. Also, a device and corresponding method to derive an initial inactivity timer value based on a plurality of operational observations for a type of inactivity timer, evaluate a cost function associated with the type of inactivity timer using the initial inactivity timer value and adjust the initial inactivity timer value based on the evaluating of the cost function.

Abstract: Described herein are apparatus, systems and methods for adaptive segment size for data transmissions. A method may comprise, at a user equipment (“UE”), identifying a current size setting of a data segment (e.g., a transmission control protocol (“TCP”) maximum segment size (“MSS”)) for communication over a network, receiving current physical layer conditions, receiving historical data, and adjusting the current size setting based on at least one of the current physical layer conditions and the historical data.