Wireless Docking Resource Throttling via User Presence Detection
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Solution Overview
Problem
Information handling systems face inefficiencies in resource utilization when users are not actively engaged, leading to unnecessary resource consumption and potential battery drain during wireless docking.
Innovation Solution
A method for adjusting wireless docking resource usage by identifying user presence states using infrared cameras, audio detectors, or other sensors, and applying configuration rules to throttle resource utilization, such as reducing wireless traffic or changing power states, when the user is not actively engaged.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the client IHS maintains full resource utilization while wirelessly connected to the docking station, then system performance and responsiveness are maintained, but energy consumption increases and battery life decreases
Solution Approach 1:
The system dynamically adjusts resource utilization between high and low states based on real-time user presence detection. When a user is detected at the docking station, the system transitions to high resource utilization mode for optimal performance. When no user is present, it transitions to low resource utilization mode to conserve energy, thereby resolving the contradiction between maintaining performance and reducing energy consumption.
Solution Approach 2:
The system changes key operating parameters including CPU frequency, wireless communication power levels, and display refresh rates based on user presence state. These parameter adjustments allow the system to optimize the balance between performance and energy consumption by adapting to actual usage conditions rather than maintaining fixed high-performance settings.
2Duration of action of stationary object
If the system throttles resource utilization to conserve energy when the user is not present, then battery life is extended, but system responsiveness and performance deteriorate
Solution Approach 1:
The system performs preliminary user presence detection and proactively adjusts resource utilization before the user actually needs to interact with the system. By detecting user absence in advance and preemptively transitioning to energy-saving mode, the system ensures battery life is extended without impacting user experience, as the performance adjustment occurs before any interaction is required.
3Loss of energy
If the system continuously monitors user presence to dynamically adjust resource usage, then energy efficiency is optimized, but device complexity and processing overhead increase
Solution Approach 1:
The system uses self-service mechanisms for user presence detection by leveraging existing sensors and detectors already present in the docking station and client IHS. Rather than introducing complex external monitoring systems, the invention repurposes existing hardware components (cameras, microphones, motion sensors) to automatically detect user presence and trigger appropriate resource utilization adjustments, thereby achieving energy efficiency without significantly increasing device complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach conserves computing resources and improves overall device and network efficiency by dynamically managing resource usage based on user engagement, thereby extending battery life and optimizing system performance.
Implementation Method 1
identifying user presence states using infrared cameras
Implementation Method 2
audio detectors
Data Source
AI summary
Adjusting wireless docking resource usage, including identifying, at a client information handling system (IHS), a configuration policy, the client IHS wirelessly connected to a docking station, the docking station providing wireless connections to peripheral computing components, respectively; processing, at the client IHS, the configuration policy, including identifying configuration rules of the configuration policy for performing computer-implemented actions of throttling resource utilization between the client IHS and the docking station; identifying, at the client IHS, when the client IHS is wirelessly connected to the docking station, a first presence state of a user with respect to the client IHS; and determining, at the client IHS, that the first presence state indicates that the user of the client IHS is not actively engaged with the client IHS, and in response, applying the configuration rules to perform computer-implemented actions of throttling resource utilization between the client IHS and the docking station.