Context-Aware Radio Interface Switching for Peripheral Connectivity
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Solution Overview
Problem
Current systems lack an automated mechanism to optimize peripheral device connectivity in Information Handling Systems (IHSs) based on context, such as distance, battery levels, and application usage, leading to suboptimal performance and battery life.
Innovation Solution
The implementation of a system and method within IHSs to automatically select between different radio interfaces (e.g., Bluetooth, proprietary RF) for peripheral device connectivity based on contextual factors like distance, battery levels, and active applications, using machine learning or AI models to predict optimal switching points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single radio interface is used for peripheral device connectivity, then device complexity is reduced, but performance and battery life are suboptimal
Solution Approach 1:
The system dynamically switches between different radio interfaces (Bluetooth and proprietary RF) based on real-time context factors such as distance, battery levels, and application usage. This dynamic adaptation allows the system to optimize connectivity performance without requiring manual intervention, resolving the contradiction between using multiple radios and maintaining simple device management.
Solution Approach 2:
The IHS automatically monitors contextual parameters and makes autonomous decisions about which radio interface to use, eliminating the need for user configuration or manual radio selection. This self-service approach enables multi-radio optimization while keeping the user experience simple and unchanged.
2Use of energy by moving object
If Bluetooth radio is used for peripheral connectivity, then power consumption is reduced, but connectivity range and speed are limited
Solution Approach 1:
The system changes the operational parameters by switching between different radio interfaces based on contextual needs. When high speed or long range is required, the proprietary RF radio is activated; when power savings are prioritized and conditions allow, Bluetooth is used. This parameter-based switching resolves the contradiction between energy efficiency and transmission performance.
3Length of moving object
If proprietary RF radio is used for peripheral connectivity, then connectivity range and speed are improved, but power consumption increases
Solution Approach 1:
The system dynamically adjusts radio selection based on real-time distance measurements and battery status. The proprietary RF radio is activated only when the peripheral device is beyond Bluetooth range or when the application context requires high-speed communication, and deactivated when power conservation becomes priority. This dynamic approach resolves the contradiction between extended range and power consumption.
4Ease of operation
If manual radio selection is implemented, then user control is maximized, but ease of operation is reduced
Solution Approach 1:
The system performs self-service by automatically monitoring contextual factors (distance, battery levels, active applications) and autonomously selecting the appropriate radio interface. This eliminates the need for manual user intervention while providing context-based optimization, thereby maintaining ease of operation while achieving adaptability.
Data Source
AI summary
Systems and methods for managing peripheral device connectivity based on context are described. In an embodiment, an IHS may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: select a first radio to communicate with a peripheral device; determine that at least one of: a distance between the IHS and the peripheral device, a battery level of the IHS, or a battery level of the peripheral device is greater or smaller than a threshold value; and, in response to the determination, select a second radio to communicate with the peripheral device.


