Dynamic Inactivity Timer for Wireless Network Resource Optimization
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Solution Overview
Problem
Current wireless communication networks face inefficiencies in radio resource allocation due to static inactivity timers, which fail to accommodate varying traffic patterns with different inter-arrival times, leading to excessive state promotions or resource wastage.
Innovation Solution
A dynamic inactivity timer is implemented in wireless networks, which monitors packet bursts and predicts inter-burst times using machine learning to adjust timer settings, allowing for customized radio resource management based on specific traffic patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a short inactivity timer is used, then radio resources are released quickly, but excessive state promotions occur
Solution Approach 1:
The patent implements a dynamic inactivity timer that adapts its value based on monitored traffic patterns and predicted inter-burst times. Instead of using a fixed short timer that causes excessive state promotions, the system dynamically adjusts the timer length to match actual traffic characteristics, thereby releasing resources quickly when appropriate while avoiding unnecessary state transitions.
Solution Approach 2:
The system changes the inactivity timer parameter based on observed traffic patterns. By monitoring packet bursts and predicting inter-burst times, the system adjusts the timer value to optimize between rapid resource release and minimizing state promotions, directly addressing the contradiction between productivity and device complexity.
2Device complexity
If a long inactivity timer is used, then state promotions are reduced, but radio resources are wasted
Solution Approach 1:
The dynamic timer adjustment mechanism ensures that the inactivity timer is extended only when traffic patterns indicate upcoming bursts, preventing resource waste while avoiding premature resource release. This dynamically adapts the timer to reduce state promotions without causing unnecessary resource retention.
Solution Approach 2:
The system performs preliminary monitoring and prediction of traffic patterns before adjusting the timer. By predicting inter-burst times in advance, the system can proactively set appropriate timer values to prevent both resource waste and unnecessary state promotions, addressing the contradiction between reducing state complexity and preventing resource loss.
3Device complexity
If a static inactivity timer is used, then system complexity is low, but it cannot accommodate varying traffic patterns
Solution Approach 1:
The system implements self-service through automated monitoring and prediction of traffic patterns. The inactivity timer is automatically adjusted based on observed packet bursts and predicted inter-burst times, eliminating the need for manual configuration while enabling adaptation to varying traffic patterns. This maintains operational simplicity while achieving high adaptability.
Solution Approach 2:
The system uses feedback from monitored traffic patterns to dynamically adjust the inactivity timer. By continuously observing packet bursts and using this feedback to predict future inter-burst times, the system adapts the timer value to match actual traffic characteristics, achieving versatility without proportionally increasing complexity.
Data Source
AI summary
A method, a computer readable medium and an apparatus for providing a dynamic inactivity timer are disclosed. For example, the method monitors a timer for a time threshold associated with a burst of a plurality of bursts of packets, and determines if the timer for the time threshold associated with the burst has expired. The method predicts an inter-burst time for the burst, if the timer for the time threshold associated with the burst has expired and sets the dynamic inactivity timer in accordance with the inter-burst time for the burst.