Qualcomm Innovation Center, Inc.

Qualcomm Incorporated

Nikhil Kumar Kansal

Sravan Kumar Ambapuram

Shirish Kumar Agarwal

Venkata Biswanath Devarasetty

Karthik Rangaraju

Nirav Narendra Desai

Krishna V S S S R Vanka

Venkatesh Ravipati

Lakshmi Narayana Panuku

Vaibhav Bhalla

Krishna Vsssr Vanka

Murali Nalajala

Sumit Gemini

Systems, methods and computer-readable mediums may be used in portable computing devices (PCDs) for dynamically allocating system resources in a way that prevents or lessens degradation of power and performance KPIs while also avoiding temperature increases in the PCD that can create unpleasant user experiences. A smart resource allocation framework (SRAF) is triggered when a call is received or placed. Once triggered, the SRAF framework monitors a preselected set of state conditions to determine whether or not to place the wireless modem in a modem power-performance (Mod. Pow.-Perf) mode. If it determines that modem is to be placed in the Mod. Pow.-Perf. mode, a Mod. Pow.-Perf. process is performed dynamically allocates system resources and preferably also triggers a thermal framework that performs power reduction in one or more non-modem processing cores.

Smart resource allocation framework for dynamic allocation of system resources in personal computing devices (PCDs) that employ wireless modems

Herein disclosed are systems, methods, and apparatus for controlling data usage statistics in network-connected devices. The 'stats' collection can be suppressed during minimum window periods, thereby reducing CPU and resources usage needed to processes the stats collection. Further, the minimum window can be a function of a link speed of the communication channel as well as a data usage proximity to a data usage warning limit. Further, stats collection can be triggered by expiration of a timer or data usage that meets a buffer threshold, where both the timer and threshold are selected based on the communication channel link speed, and buffer threshold is further a function of the data usage proximity to the warning limit.

Bandwidth aware network statistics collection

A method and computing apparatus for controlling operation of hardware processing components are disclosed. The method may include receiving a data packet (e.g., a media frame) at the computing device, processing the data packet with a plurality of hardware components to display the data packet, and monitoring movement of the data packet among the hardware components. A time indication for each hardware component is generated that indicates when the data packet will be received, and a frequency of each of the hardware components is adjusted based upon when the frame will arrive to be processed.

Proactive control of hardware based upon monitored processing

This disclosure describes systems, methods, and apparatus for reducing power consumption and improving performance on a computing device. A method includes scheduling, with a driver on the computing device, one or more activity times that indicate when the driver will be active and storing the one or more activity times that indicate when the driver will be active. When a request to suspend a system of the computing device is received, the stored activity times are accessed to identify when the driver will be active, and a determination is made whether any of the one or more activity times is scheduled to occur within a suspend time window. If the driver will not be active during the suspend time window, suspension of the system is initiated.

Suspend and resume timeline optimization for application processor

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Hyderabad Telangana, India

Nikhil Kumar Kansal