Adaptive RRC State Transition Control for Diverse Traffic Patterns
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Solution Overview
Problem
Existing RRC state transition control in wireless communication networks is inefficient, particularly in 5G networks, as it fails to account for the diverse communication patterns of various terminal devices, leading to suboptimal power consumption and signaling overhead.
Innovation Solution
A method and apparatus for controlling RRC state transitions by using temporal inactivity parameters based on estimated periods between traffic activities of terminal devices, which are determined and stored in an inactivity pattern database, allowing for precise and adaptive control of RRC state transitions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If RRC state transition control uses fixed timing mechanisms, then implementation simplicity is maintained, but adaptability to diverse communication patterns deteriorates
Solution Approach 1:
The patent applies dynamics by transitioning from fixed, static RRC state transition timing to dynamic, adaptive timing mechanisms. The system continuously monitors communication patterns and adjusts transition parameters in real-time, allowing the control mechanism to adapt its behavior based on actual device activity and network conditions, thereby resolving the contradiction between adaptability and complexity.
Solution Approach 2:
The patent changes key parameters such as transition timing, state duration, and trigger thresholds based on observed communication patterns. By dynamically adjusting these parameters rather than using fixed values, the system achieves adaptability to diverse communication patterns while managing complexity through parameter-based control rather than structural complexity.
2Use of energy by moving object
If RRC state transitions occur frequently, then power consumption is reduced, but signaling overhead increases
Solution Approach 1:
The patent applies preliminary action by predicting future communication needs based on historical patterns and proactively maintaining devices in appropriate RRC states before actual data transmission occurs. This prevents unnecessary state transitions and reduces signaling overhead while optimizing power consumption through anticipatory state management.
Solution Approach 2:
The system implements feedback mechanisms that monitor actual communication patterns and use this information to optimize transition timing and state selection. By continuously adapting to observed behavior, the system reduces both power consumption and signaling overhead through intelligent, data-driven transition control.
Data Source
AI summary
A technique of triggering transition control between different RRC states of wireless terminal devices is described. A method aspect of this technique comprises receiving a request for an RRC state transition control for a terminal device, wherein the request includes at least one identifier associated with the terminal device. The method further comprises obtaining a temporal inactivity parameter associated with the at least one identifier, wherein the temporal inactivity parameter depends on an estimated period of time between two traffic activities of the terminal device. Further still, the method comprises triggering, based on the temporal inactivity parameter or a parameter derived on the basis of the temporal inactivity parameter, the RRC state transition control for the terminal device.