Dynamic Coexistence Management via User Behavior Priority
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Solution Overview
Problem
Existing coexistence management policies in wireless communication devices are static and fail to account for user-specific behavior, leading to suboptimal interference management and reduced quality of service for certain applications.
Innovation Solution
Assigning priority levels to applications based on observed user behavior patterns to make informed coexistence management decisions, ensuring that higher priority applications are protected from interference during concurrent data communication across multiple wireless interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If static coexistence management policies are applied across multiple devices and users, then interference between wireless technologies can be reduced, but quality of service for specific user applications deteriorates
Solution Approach 1:
The patent transforms static coexistence management policies into dynamic policies that adapt to user behavior patterns. The system continuously monitors application usage patterns and adjusts priority levels in real-time, allowing coexistence decisions to change based on current user needs rather than applying fixed rules across all devices and users.
Solution Approach 2:
The system changes the parameter of priority assignment from fixed static values to dynamic values based on observed user behavior. By analyzing historical usage data and identifying patterns, the system assigns different priority levels to applications depending on user preferences and usage contexts, thereby optimizing quality of service for each user while maintaining interference management.
2Object-affected harmful factors
If data traffic on aggressor radio link is penalized by default, then interference with victim radio link is reduced, but throughput of data communication on aggressor radio link deteriorates
Solution Approach 1:
The patent applies different quality treatments to different applications based on their individual priority levels derived from user behavior patterns. Instead of uniformly penalizing all aggressor traffic, the system selectively applies interference management only when necessary, preserving throughput for high-priority applications while managing interference for lower-priority ones.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring user application usage patterns and adjusting coexistence management decisions accordingly. This feedback loop allows the system to learn from user behavior and make intelligent decisions about when to apply interference management, avoiding unnecessary throughput penalties for important applications.
3Reliability
If customized coexistence management based on user behavior is implemented, then quality of experience for users is improved, but device complexity increases
Solution Approach 1:
The system employs self-service mechanisms by automatically monitoring user behavior patterns and assigning priority levels without requiring manual user configuration or intervention. The device autonomously analyzes usage data, identifies patterns, and adjusts coexistence policies dynamically, reducing the operational complexity burden on users while maintaining high quality of experience.
Solution Approach 2:
The system performs preliminary analysis of user behavior patterns in advance to establish priority levels before coexistence conflicts occur. By pre-processing usage data and identifying application priorities ahead of time, the system reduces real-time decision complexity and enables faster, more efficient coexistence management when interference situations arise.
Data Source
AI summary
A method for customized coexistence management based on user behavior is disclosed. The method can include a wireless communication device determining a behavior pattern of a user of the wireless communication device; assigning a priority level to each of a first application and a second application based on the behavior pattern; using a first wireless communication interface to support data communication for the first application; using a second wireless communication interface to support data communication for the second application concurrent with data communication for the first application over the first wireless communication interface; and managing in-device coexistence of the first wireless communication interface and the second wireless communication interface during concurrent data communication for the first application and the second application based on the priority level assigned to the first application and the priority level assigned to the second application.