Adaptive Wireless Transition Timer Control
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Solution Overview
Problem
Current wireless communication systems face challenges in managing wireless state transitions and network congestion due to increased application usage, varying application types, and differing content types, leading to inefficient resource usage and network performance.
Innovation Solution
A transition management component that adapts wireless transition timers based on application type, content, and user behavior, dynamically controlling the switching between different wireless states to optimize power consumption and resource usage, while maintaining a desirable Quality of Experience (QOE).
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If wireless transition timers are fixed and not adapted to application types, then device complexity is reduced and ease of operation is improved, but network resource efficiency deteriorates and power consumption increases
Solution Approach 1:
The patent changes the parameter of transition timer values based on application type and content characteristics. Different timer values are assigned for different application categories (e.g., streaming, browsing, messaging) to optimize network resource usage and power consumption while maintaining manageable device complexity through parameterization rather than structural complexity
Solution Approach 2:
The transition timer values are made dynamic rather than static, allowing the system to adapt timer settings based on current application type and network conditions. This dynamic adjustment improves network resource efficiency without requiring complex manual configuration, as the system automatically selects appropriate timer values based on application characteristics
2Adaptability or versatility
If wireless state transitions occur frequently to respond to application changes, then adaptability to different applications is improved, but signaling overhead increases and network congestion worsens
Solution Approach 1:
The patent applies partial action by transitioning wireless states only when necessary based on application type and content characteristics, rather than transitioning for every application change. This selective approach maintains application adaptability while reducing unnecessary signaling overhead and preventing network congestion
Solution Approach 2:
The system uses feedback mechanisms to monitor application type and network conditions, adjusting transition timing based on this information. This feedback-driven approach ensures adaptability to different applications while optimizing transition frequency to minimize signaling overhead and avoid contributing to network congestion
3Loss of energy
If transition timers are extended to reduce state switching, then signaling overhead is reduced and network performance is improved, but responsiveness to application changes deteriorates and user experience worsens
Solution Approach 1:
The patent applies different timer values for different application types and content characteristics rather than using a uniform timer. This local quality approach allows extended timers for applications where rapid transitions are unnecessary (reducing signaling overhead) while maintaining shorter timers for applications requiring quick response, thus preserving user experience
Solution Approach 2:
The system changes timer parameters dynamically based on application type and network conditions. This parameter adjustment allows the system to extend timers when appropriate to reduce signaling overhead while maintaining responsiveness for applications that require faster state transitions, balancing energy efficiency with user experience
4Reliability
If wireless devices maintain constant connection to support all application types, then service reliability is improved, but power consumption increases and device battery life decreases
Solution Approach 1:
The patent implements dynamic transition timer settings that adapt to application type and network conditions, allowing the device to maintain connections when necessary for reliability while transitioning to lower power states when applications permit. This dynamic approach balances service reliability with power consumption optimization
Solution Approach 2:
The system changes timer parameters based on application characteristics and network conditions, extending timers to maintain connections for applications requiring high reliability while using shorter timers for applications that can tolerate disconnections, thus optimizing the balance between service reliability and power consumption
Data Source
AI summary
Wireless transition timers associated with wireless transition states are adaptively controlled in relation to use of applications by user equipment (UE). A UE can include a transition management component (TMC) that can adaptively control wireless transition timers associated with wireless states based on application type, session content, or other factors. The TMC monitors data flow associated with an application and, for a current or subsequent communication session, controls the length of wireless transition timers and switching between wireless states to improve UE, application, and/or network performance while maintaining QOE for the user. The TMC can access a timer look-up table that maps wireless transition timers to application type, content type, user behavior, or other factors. The TMC also can desirably control maintaining persistence or always-on connections by controlling switching between wireless states using the adapted wireless transition timers.