Context-Aware Radio Resource Management for Wireless Link Optimization
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Solution Overview
Problem
Current information handling systems face challenges in optimizing wireless link selection and energy consumption across user devices due to varying usage patterns and radio frequency conditions, leading to inefficient communication and increased power consumption.
Innovation Solution
A context-aware radio resource management system that assesses user profile data, wireless link traffic reports, and battery power levels to dynamically select the most efficient wireless link protocol and service provider based on predicted usage patterns and radio frequency conditions, optimizing energy consumption and communication efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the system dynamically switches between wireless link technologies and service providers, then communication efficiency is improved, but device complexity increases
Solution Approach 1:
The patent introduces a context-aware radio resource management system that acts as an intermediary between the user device and multiple wireless link technologies/service providers. This management system assesses user profile data, wireless link traffic reports, and battery power levels to automatically select optimal wireless links, thereby improving communication efficiency while shielding the user from the complexity of multiple technology choices.
Solution Approach 2:
The system dynamically changes operational parameters by switching between different wireless link technologies (e.g., Wi-Fi, cellular) and service providers based on real-time conditions. It monitors and adjusts parameters such as battery power levels, traffic patterns, and radio frequency conditions to optimize performance without requiring manual user intervention.
2Use of energy by moving object
If the system continuously monitors and dynamically switches wireless links, then energy consumption efficiency is improved, but processing overhead increases
Solution Approach 1:
The system performs preliminary assessments by collecting and analyzing user profile data, wireless link traffic reports, and battery power levels before making switching decisions. This advance preparation allows the system to predict optimal wireless link selections and reduce the frequency of continuous monitoring, thereby improving energy efficiency while minimizing processing overhead.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring battery power levels and wireless link performance, then using this information to dynamically adjust wireless link selections. The feedback loop enables the system to learn from past performance and optimize energy consumption patterns without requiring excessive processing resources.
Data Source
AI summary
An information handling system includes an application processor that executes instructions to determine one or more communication link options and a wireless adapter that communicates with a conditional shared spectrum wireless link option. The application processor determines whether a higher priority user is occupying the conditional shared spectrum wireless link option and determines an optimal wireless link from among the communication link options, including any available conditional shared spectrum wireless link options, and selects a wireless link from among the wireless link options based on a spatial-temporal radio frequency profile that indicates signal quality for wireless links available at the location and a spatial-temporal user profile, including wireless service usage trend data for the location.