Context-Aware Radio Resource Management for Multi-Device Path Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current radio communication management systems fail to optimally adapt to the context and usage of multiple available radiofrequency communication devices, leading to inefficient data processing, storage, and communication, particularly in wireless networks where link quality and energy consumption vary significantly.
Innovation Solution
A method and apparatus for a context-aware radio resource management system that assesses and optimizes wireless communication paths by using a pan-device communication optimization system, which evaluates end-to-end quality ratings based on user device trends, link conditions, and energy consumption to automatically select the most efficient wireless technology and service provider for each communication type.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a user has multiple radiofrequency communication devices available, then communication flexibility and device options increase, but the complexity of selecting and managing the optimal communication path increases
Solution Approach 1:
The radio resource management system automatically performs context assessment, link quality evaluation, and optimal path selection without requiring manual user intervention. The system self-manages the complexity by continuously monitoring device trends, link conditions, and energy consumption to autonomously determine the best communication path among multiple available devices
Solution Approach 2:
The system dynamically evaluates and changes communication parameters including device selection, wireless technology type, service provider, and communication path based on real-time context assessment. By continuously adjusting these parameters according to assessed conditions, the system manages the complexity of multiple devices through adaptive parameter optimization rather than fixed configurations
2Productivity
If the system continuously monitors and optimizes communication paths across multiple devices, then communication efficiency and service quality improve, but energy consumption and processing resources increase
Solution Approach 1:
The system performs context assessment and optimization at appropriate intervals and only when necessary, rather than continuously monitoring all parameters at maximum intensity. By applying partial action - assessing and optimizing only when conditions warrant intervention - the system maintains communication efficiency while avoiding excessive energy consumption from constant full-scale monitoring
Solution Approach 2:
The system performs context assessment in advance to predict optimal communication paths before actual communication occurs. By preliminarily evaluating device trends, link conditions, and energy consumption, the system can pre-determine the best path, reducing the need for frequent real-time adjustments and associated energy expenditure during active communication
3Loss of energy
If the system selects optimal wireless paths based on multiple factors including energy consumption, then overall energy efficiency improves, but the complexity of assessment and decision-making increases
Solution Approach 1:
The radio resource management system performs multiple functions within a unified assessment framework: evaluating device trends, assessing link conditions, calculating energy consumption, and selecting optimal paths all through a single context assessment process. This multi-functional approach consolidates what could be separate complex systems into one integrated solution, managing assessment complexity while achieving energy efficiency across multiple optimization criteria
Data Source
AI summary
A system or method includes receiving wireless communication device usage trend data for a plurality of available wireless communication devices associated with a recipient and detecting, via an application processor executing instructions for a pan device communication optimization agent, a plurality communication paths with the plurality of wireless communication devices associated with the recipient. The system or method further includes determining an end-to-end quality score for a wireless communication device associated with the user and with available communication paths with the wireless communication devices associated with the recipient. In some aspects, the system and method include selecting at least one preferred communication path between the wireless communication device associated with the user and at least one wireless communication device associated with the recipient based on comparison of end-to-end scores.


