Communication Session Release with Predictive Inactivity Timers
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Solution Overview
Problem
Existing 5G/IoT network resource optimization is inefficient due to unnecessary occupation of network resources during ongoing sessions with no usage or signaling, leading to suboptimal utilization of compute, storage, and network resources.
Innovation Solution
A predictive model using historical usage data to determine a data traffic inactivity timer value, which monitors session inactivity and triggers release operations when the timer expires, optimizing resource utilization by releasing resources when not needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network resources are kept occupied during ongoing sessions, then service availability is maintained, but resource utilization efficiency deteriorates when no usage or signaling occurs
Solution Approach 1:
The patent implements dynamic session management by introducing configurable inactivity timers that automatically adjust resource allocation based on real-time usage patterns. Sessions transition between active and inactive states based on monitored data traffic, allowing resources to be dynamically released when sessions become dormant while maintaining availability during active usage periods
Solution Approach 2:
The patent changes the parameter of session duration by introducing inactivity timer mechanisms. Sessions are automatically terminated or resources are released after a configured period of no data traffic, transforming the static resource allocation into a time-based dynamic allocation that adapts to actual usage patterns
2Productivity
If inactivity timers are configured to release resources quickly, then resource utilization improves, but service reliability deteriorates due to premature session termination
Solution Approach 1:
The patent applies preliminary action by configuring inactivity timers in advance before sessions become problematic. The timers are pre-configured with appropriate thresholds that account for normal usage patterns, allowing the system to proactively manage resource allocation without interfering with legitimate ongoing sessions
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously monitors data traffic during sessions and uses this information to determine whether to maintain or release resources. The inactivity timer mechanism provides feedback-based control, adjusting resource allocation based on real-time observations of session activity patterns
Data Source
AI summary
A network node of a communications network performs operations to determine a data traffic inactivity timer value based on subscriber event data, which identifies a subscriber and service characteristics using a communication session, being processed through a predictive model which uses historical usage data indicating idle times previously measured by charging trigger functions (CTFs) for the subscriber and the service characteristics. The operation further communicate the data traffic inactivity timer value to a CTF to configure monitoring of inactivity of the service using the communication session and to trigger a release operation related to the communication session when a data traffic inactivity timer using the data traffic inactivity timer value is determined to expire based on the monitored inactivity of the service.